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Recently, IoT has been combined with artificial intelligence (AI) technology to develop into intelligent IoT (Artificial Intelligence of Things, AIoT) and can provide smart services to all industries. Generally, buildings with 30 or more floors are classified as high-rise apartments. There are high-rise apartments in many countries with small land areas and high population densities around the world, such as Hong Kong, Singapore, and Korea. Korea has many high-rise apartments and buildings with 30 or more floors, and residents there inevitably use elevators to move between floors. Because it is a high-rise apartment, it takes time for EVs to move, and a contactless method is needed when using EVs, especially due to COVID-19. In this study, we proposed a smart elevator system using AI that allows residents of high-rise apartments to conveniently shorten waiting and use times and use elevators without contact during rush hours due to the impact of COVID-19. The proposed system uses AI facial recognition to shorten EV waiting time and moving time and has a contactless floor selection function. As a result of the proposed system, it was confirmed that residents' EV waiting time and travel time were shortened compared to existing EV systems. [ABSTRACT FROM AUTHOR]

Collecting data such vibration signal or others from elevators is crucial for a regular maintenance or emergency repair in industry. However, traditional methods for data transmission through compression and decompression process usually require large input data arrays to be assigned. Therefore, a long computational time is unavoidable so that it may affect system performance efficiency significantly. Therefore, an elevator vibration and loading data collection system was developed using simple compression encoding mechanism. First, in Data Acquisition Unit, the signal-acquiring microprocessor is used for data acquisition through Inter-Integrated Circuit (I2C) bus. Second, in Data Storage Unit, the collected data from the signal-acquiring microprocessor is compressed and transmitted to the signal-processing microprocessor. Third, in Monitor Unit, the elevator analysis tool is developed to analyze the vibration data, which can be viewed directly from APP. Experimental results demonstrated that the restored data are consistent with the results measured from the standard instrument. The proposed hexadecimal compression process can make the data transmission mechanism simple, but two times faster than that using traditional way without compression. Consequently, the demanded memory capacity for signal transmission can be therefore reduced considerably. [ABSTRACT FROM AUTHOR]

Elevator systems serve as the primary mode of transportation in tall buildings which consumes approximately 5–15% of a building's total energy demand. This research explores the potential for energy savings in elevator systems while maintaining passenger comfort through the implementation of green approaches. The research concentrates on a contemporary high-rise office building situated in the central business district of a developing economy. It employs a case study methodology involving traffic simulation to determine optimal elevator specifications for industry-standard service levels. By conducting the simulation, the researchers identified the optimal number of elevators, elevator capacity, speed, and the most suitable elevator management system. Following that, a range of green measures were implemented, including the incorporation of a regenerative system, to effectively reduce the electrical energy consumption of the elevator system. Subsequently, a passenger traffic simulation model was integrated with an energy calculation model to jointly simulate and calculate the elevator system's overall energy consumption and regeneration. The elevator energy requirements were optimized, while maintaining user-friendliness and requirements related to guidelines given in the standards. The results showed that 36% of the energy consumption was reduced by incorporating an energy regenerative option into the elevator system in addition to selecting efficient mechanical components and implementing an efficient elevator traffic management system. This research contributes to the limited body of literature on energy optimization in elevators and emphasizes the importance of balancing energy efficiency with service quality. These findings provide guidance for establishing benchmarks in reducing energy consumption, in relation to elevator systems. [ABSTRACT FROM AUTHOR]

An electrical motors, together with its appropriate drive system, is one of the most important elements of electromobility. In recent years, there has been a particular interest by academic researchers and engineers in permanent-magnet motors (PMSMs) in various applications, such as electric vehicles, Unmanned Aerial Vehicles (UAVs), elevator systems, etc., as the main source of drive transmission. Nowadays, the elevator industry, with the evolution of magnetic materials, has turned to gearless PMSMs over geared induction motors (IMs). One of the most important elements that is given special emphasis in these applications is proper motor design in consideration of the weight and speed of the chamber to be served during operation. This paper presents a design of a high-efficiency PMSM, in which finite elements analysis (FEA) and the study of the lift operating cycle provided useful conclusions on the magnetic field of the machine in different operating states. In addition, a simulated model was compared with experimental results of test operations. Furthermore, the drive system also required the use of appropriate electrical power and controls to drive the PMSM. Especially in elevator applications, the control of the motor speed by the variable voltage variable frequency technique (VVVF) is the most common technology used to avoid endangering the safety of the passengers. Thus, suitable speed and current controllers were used for this purpose. In our research, we focused on studying different control techniques using a suitable inverter to compare the system operation in each case studied. [ABSTRACT FROM AUTHOR]

Purpose – This paper aims to design an active shock absorber scheme for use in conjunction with a passive shock absorber to suppress the horizontal vibration of elevator cars in a smaller range and shorter time. The developed active shock absorber will also improve the safety and comfort of passengers driving in ultra-high-speed elevators. Design/methodology/approach – A six-degree of freedom dynamic model is established according to the position and condition of the car. Then the active shock absorber and disturbance compensation-based adaptive control scheme are designed and simulated in MATLAB/Simulink. The results are analysed and compared with the traditional shock absorber. Findings – The results show that, compared with traditional spring-based passive damping systems, the designed active shock absorber can reduce vibration displacement by 60%, peak acceleration by 50% and oscillation time by 2/3 and is more robust to different spring stiffness, damping coefficient and load. Originality/value – The developed active shock absorber and its control algorithm can significantly reduce vibration amplitude and converged time. It can also adjust the damping strength according to the actual load of the elevator car, which is more suitable for high-speed elevators.

The progression of the industry, alongside the continuous enhancement of operational efficiency and the reduction of production costs, is paving the way for novel solutions in the realm of storage and transportation systems. The incorporation of new technologies and solutions, such as mobile robots, has culminated in the establishment of Smart Warehouses. It facilitates the reduction of non-value adding activities for companies. One of the methods of improving the efficiency of such systems is the more effective use of autonomous mobile robots. The article presents an inventive concept of an autonomous mobile robot capable of undertaking transport tasks both on the shop floor and within high-bay warehouses. The new concept of the drive mechanism enables it to navigate on surfaces and move along rail guides. By using an elevator, the robot can be lifted to higher levels within the warehouse. The well-conceived structural solution of the robot allows the elevator's placement anywhere within the warehouse, eliminating the need for constructing a pit. The use of a mobile robot with the proposed structure will enable the execution of transport tasks without necessitating reloading. Such an approach has the potential to increase efficiency and reduce the costs of storage processes.

A Distributed Elevator Fault Diagnosis System (DEFDS) is developed to tackle frequent malfunctions stemming from the widespread distribution and aging of elevator systems. Due to the complexity of elevator fault data and the subtlety of fault characteristics, traditional methods such as visual inspections and basic operational tests fall short in detecting early signs of mechanical wear and electrical issues. These conventional techniques often fail to recognize subtle fault characteristics, necessitating more advanced diagnostic tools. In response, this paper introduces a Principal Component Analysis–Long Short-Term Memory (PCA-LSTM) method for fault diagnosis. The distributed system decentralizes the fault diagnosis process to individual elevator units, utilizing PCA's feature selection capabilities in high-dimensional spaces to extract and reduce the dimensionality of fault features. Subsequently, the LSTM model is employed for fault prediction. Elevator models within the system exchange data to refine and optimize a global prediction model. The efficacy of this approach is substantiated through empirical validation with actual data, achieving an accuracy rate of 90% and thereby confirming the method's effectiveness in facilitating distributed elevator fault diagnosis. [ABSTRACT FROM AUTHOR]

People in elevators are at risk of respiratory infection because the elevator cabin is crowded and has poor ventilation. The exhaled particles may be inhaled by the susceptible person, deposited on the surface and suspended in the elevator, which can result in direct and indirect transmission. However, whether the air vent designs adopted in the elevator can effectively reduce the transmission risk of respiratory particles remains unknown. In this study, the dispersion of particles under four common ventilation strategies used in the commercial elevator was investigated by proven computational fluid dynamics (CFD) simulations. The flow field was simulated with the RNG k-ξ turbulence model and the Lagrangian method was adopted to track particle trajectories. The effects of air vent layout and airflow rate on particle transmission were analyzed. We found that more than 50% of exhaled particles (average value) were suspended in the cabin and difficult to discharge under the investigated ventilation strategies. The deposited fraction of particles on the susceptible person reached up to 39.14% for infiltration ventilation, which led to a high risk of contact infection. Increasing the ventilation rate could not significantly reduce the inhalation proportion of particles due to the poor airflow distribution inside the elevator. A more proper ventilation strategy should be explored for the elevator to control transmission risk. [ABSTRACT FROM AUTHOR]

Purpose: To evaluate and compare the efficacy of 2% lidocaine containing adrenaline with and without hyaluronidase in inferior alveolar nerve blocks for patients requiring bilateral mandibular extractions. Patients and Methods: This was the split‐mouth study conducted on 26 patients requiring bilateral mandibular teeth extraction. All the patients were assigned randomly to one of the two groups: (i) 2% lignocaine HCl + 1:2,00,000 adrenaline + hyaluronidase (75 IU) solution will be administered on one side which is the experimental side and (ii) 2% lignocaine HCl + 1:2,00,000 adrenaline solution on the other side is control side. In the first session, the patients randomly received the inferior alveolar nerve block with or without hyaluronidase in one side of the oral cavity. One week later, the same patient received the other technique which was not received in the first session. We also evaluated the onset, duration and need of any supplementary anaesthesia in both the groups. Results: Comparison of VAS score in the control group (2.73 ± 0.724) and experimental group (3 ± 0.693) showed statistically insignificant results (p = 0.177). Whereas the onset of local anaesthesia showed a statistically significant difference between the two groups (p < 0.001) mean of control group (2.73 ± 0.47) and experimental group (1.15 ± 0.23). Comparison of duration of anaesthesia showed a statistically significant difference (p < 0.001) with the mean duration of the experimental group being higher (106 ± 7.94) than the control group (86.27 ± 3.90). Comparison for the need for supplementary anaesthesia showed no statistically significant difference between the two groups. Conclusion: We conclude that if hyaluronidase is used, better blocks with smaller volumes are produced. LAs with hyaluronidase have been shown to improve the quality and effectiveness of anaesthetic blocks and shorten the time it takes for anaesthesia to begin, accelerate the onset of akinesia and lessen the need for additional anaesthesia. It also increases the duration of anaesthesia. [ABSTRACT FROM AUTHOR]

Purpose: The crane pick elevator is a solid version of the pick‐type dental elevator that rolls the root out of the socket using the wheel and axle method. The traditional apexo elevator works on the wedge principle, wherein it helps to retrieve root stumps below the gingival line. Although most of the extractions can be performed with routine techniques and instruments, there is a constant urge to improve these conventional procedures with newer instruments and techniques. Thus, we intend to do a comparative study, evaluating the efficiency of apexo elevators versus crane pick elevators in the extraction of mandibular root stumps. Patients and Methods: This was a comparative in vivo study conducted on a total of 68 patients aged 18 years and above. They were divided into two groups of 34 each using a random number generator. The patients were evaluated on the basis of their gender, whether extraction was successful, time taken for extraction, operators' difficulty, root length and the tooth that was extracted. Results: Majority of the participants were males in the apexo group (61.7%) and females in the crane pick group (55.8%). InAU terms of successful extraction, it was seen to be more with apexo elevators compared to crane pick elevators and is statistically significant (0.04*). The operator encountered greater difficulty during the removal of root stumps with crane pick elevators. Conclusion: We concluded that crane pick elevators are useful in luxating apical one third of the root when fractured. However, apexo elevators are better when it comes to delivering the tooth out of the socket. [ABSTRACT FROM AUTHOR]

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This paper proposes an improved actuator system model for UAV elevators using multibody dynamics simulation. The multibody dynamics simulation employs the Simscape Multibody, module in MATLAB coupled with Simulink to model the servo and hinge moment calculation. The actuator system comprises an electrical servo and mechanical components, including arms, push rods, horns, and the elevator. The electrical servo is modeled using a PID controller and a simplified motor model. The multibody dynamics simulation is employed to capture the dynamics of the mechanical components, coupled with the electrical servo through torque delivery to the mechanical components. The simulation is applied to the elevator of a medium altitude long endurance (MALE) UAV with a Maximum Take Off Weight of 1300 Kg. Generating these quantities provide a benefit in capturing the operational envelope of the servo to be compared to its limitations. Given the features of this simulation, it is proposed to extend the research by integrating this method with flight dynamics simulation.

The brake system must be reliable and display unchanging action throughout its use, as it guards the health and life of many people. Properly matched friction pair, a drum, and a brake pad have a great impact on these factors. The brake pads are far more complex components. New technologies make it possible to develop materials with various compositions and different proportions and connect them permanently in fully controllable processes. This elaboration shows that all these factors have a greater or lesser impact on the coefficient of friction, resistance to friction wear and high temperature, and the brake pad’s operating life. The friction materials are required to provide a stable coefficient of friction and a low wear rate at various operating speeds, pressures, temperatures, and environmental conditions. The aim of this work is therefore to investigate the possibility of using a Finite Element Analysis (FEA) approach to evaluate the braking performance of a heavy-duty elevator with different non-conventional pad materials including Composite Carbon fiber reinforced, Composite Epoxy SMC and SiC (silicon carbide). The results show that the performance of SiC (silicon carbide) is better than two other materials. In the braking system with SiC, the required time for stoppage of the system is lower than two other materials.

The safety of elevator, as a closely related equipment in people’s daily life, is getting more and more attention. Once an elevator accident occurs, it will bring strong social impact. It is important to control the elevator safety risk from the source to reduce the accidents. This article combines the risk factor analysis methods of Knowledge Graph (KG), Decision Making Trial and Evaluation Laboratory (DEMATEL), Interpretative Structural Modeling (ISM) method, and Matriced Impacts Cross-Multiplication Appliance Classment (MICMAC) to analyses elevator safety accidents in a data-driven manner in order to minimize the reliance on experts. Firstly, the causal network of accident occurrence is extracted from the accident reports based on the knowledge graph approach. Secondly, complex correlations in the causal network are quantified from the application of DEMATEL. Then, the ISM method was used to construct a hierarchical structure of elevator safety risk factors, on the basis of which the MICMAC method was combined to classify the types of risk factors and analyses the degree of influence of risk factors at each level. Finally, targeted preventive measures for elevator safety accidents are proposed based on the results of the model analysis.

The progression of the industry, alongside the continuous enhancement of operational efficiency and the reduction of production costs, are paving the way for novel solutions in the realm of storage and transportation systems. The incorporation of new technologies and solutions, such as mobile robots, has culminated in the establishment of Smart Warehouses. It facilitates the reduction of non-value adding activities for companies. One of the methods of improving the efficiency of such systems is the more effective use of autonomous mobile robots. The article presented an inventive concept of an autonomous mobile robot capable of undertaking transport tasks both on the shop floor and within high-bay warehouses. The new concept of the drive mechanism enables it to navigate on surfaces and move along rail guides. By using an elevator, the robot can be lifted to higher levels within the warehouse. The well-conceived structural solution of the robot allows the elevator placement anywhere within the warehouse, eliminating the need for constructing a pit. The use of a mobile robot with the proposed structure will enable the execution of transport tasks without necessitating reloading. Such an approach has the potential to increase efficiency and reduce the costs of storage processes. [ABSTRACT FROM AUTHOR]

Elevators are the most common transportation tool in modern buildings. To satisfy the safety requirement, it is mandatory to carry out regular maintenance in a certain period of time. Among maintenance items, the determination of the traction compartment cable slippage status is one of the greatest challenges in the elevator industry, but a simple and effective method is still lacking. Currently, in a real situation, the inspection accuracy relies considerably on suitable personnel experiences, and the inspection process is also time-consuming. Accordingly, we aim to develop an automatic streaming image process model for the detection of the elevator cable slipping distance. First, the geometric shape of an ellipse is established from a captured circle image. Second, the ellipse is averaged and segmented into 360° with a predefined label as a reference point. Third, the circumference formula is applied to the calculation of the cable slipping distance. Finally, the outcome of the arithmetic operation is sent to the cloud database through a graphical user interface (GUI) on the web for monitoring purposes. The experimental results reveal that the standard deviation is as small as 1.153 mm, and the measurement uncertainty is only 0.258 mm, demonstrating high accuracy, rapidity, and robustness. [ABSTRACT FROM AUTHOR]

The sustainability of buildings during their life cycle could be increased by optimizing their facility management. In this sense, data-driven approaches could support the improvement of building operation and maintenance (O&M), because they can exploit collected data to provide useful correlations to assess the sustainability performance depending on the surrounding constraints. Universities are among the most relevant and largest organizations, generally hosted in multistory buildings, that could take advantage of such data to improve the sustainable goals of class occupancy and timetable. A high level of classroom occupancy is the main goal for class timetabling, and its effect on other O&M performance generally is overlooked. In the literature, class timetabling effects on university O&M, and especially on elevator maintenance tasks, have not yet been addressed in depth. Therefore this work adopted a data-driven approach to jointly optimize class scheduling and corrective maintenance actions required for elevators in university buildings. Elevator use is influenced greatly by schedule-dependent occupant movement, and thus is one of the main components of the total maintenance costs, and significantly affects safety performance. A 15-month experimental campaign on a university campus hosting as many as 7,000 occupants daily was performed to correlate occupant presence and movement with the number of corrective actions on elevators. The data-driven correlation was integrated with open-source timetabling software to assess the impact of alternative timetables (affecting occupant movement and occupancy levels) on expected maintenance needs. According to the results, the optimized timetable can reduce current elevator maintenance needs by 65%, whereas the classroom occupancy performance is reduced by only 7%, thus still leading to sustainable building use. The proposed optimization approach allows facility managers to implement a university class timetabling that achieves higher maintenance cost savings, thus moving toward more-sustainable management of building scheduling and maintenance performance in a joint manner. Sustainable management of university buildings should take into account the optimization of maintenance tasks, due to their impacts on time, costs, workforce, and business continuity needs. Such maintenance needs are related strongly to class occupancy and timetable, which imply user flows and activities, especially in complex and multistory buildings. Elevators are strongly influenced by scheduling-dependent occupants movement, and thus are one of the main components of the total maintenance costs, and significantly affect safety performance. Data-driven approaches can reduce uncertainties regarding unpredictable faults depending on scheduling. Data collected by computer maintenance management systems regarding end-user requests can be used to provide correlations between occupancy and maintenance needs, in terms of their implementation in building automation and performance systems. Such correlations can (1) support facility managers in predicting critical conditions implying corrective actions; (2) inform decision-makers about how to better define facility management contracts, because they can estimate additional efforts based on building use; and (3) improve the maintenance sustainability by allowing decision-makers to adopt optimized class occupancy (when correlations are implemented, for example, in simulation tools). The proposed approach to timetable optimization could be extended to other scheduling-based activities (e.g., offices, meeting and cultural centers, large medical offices, recreation buildings, other administrative buildings open to the public, mixed-use buildings, and ideally, large and long-term construction sites), and systems or components with which users can interact deeply depending on scheduled tasks (e.g., lighting systems, ductless air conditioning devices, safety handles, and paving). [ABSTRACT FROM AUTHOR]

This paper proposes an improved actuator system model for UAV elevators using multibody dynamics simulation. The multibody dynamics simulation employs the Simscape Multibody, module in MATLAB coupled with Simulink to model the servo and hinge moment calculation. The actuator system comprises an electrical servo and mechanical components, including arms, push rods, horns, and the elevator. The electrical servo is modeled using a PID controller and a simplified motor model. The multibody dynamics simulation is employed to capture the dynamics of the mechanical components, coupled with the electrical servo through torque delivery to the mechanical components. The simulation is applied to the elevator of a medium altitude long endurance (MALE) UAV with a Maximum Take Off Weight of 1300 Kg. Generating these quantities provide a benefit in capturing the operational envelope of the servo to be compared to its limitations. Given the features of this simulation, it is proposed to extend the research by integrating this method with flight dynamics simulation. [ABSTRACT FROM AUTHOR]

Elevators have become an integral part of modern buildings, and technological advances have enabled the monitoring of their operational status through sensor technology. In response to the development of the elevator industry and the need for practical elevator operation risk evaluation, this paper proposes an elevator risk evaluation method based on fuzzy theory and machine learning methods. The method begins by establishing an elevator operation risk evaluation index system. The traditional fuzzy comprehensive evaluation method is then employed to evaluate the risk levels of the 50 elevators studied. The collected index data and labels (fuzzy comprehensive evaluation results) are used as inputs to train the support vector machine (SVM) model. To optimize the SVM model, the maximum information coefficient method, enhanced by the correlation-based feature selection (MIC-CFS) method, is employed to select features for the index input to the SVM model. The improved gray wolf algorithm (IGWO) method optimizes the SVM. Finally, the model's performance is verified using new index data. The experimental results demonstrate that introducing machine learning methods for elevator risk evaluation saves time and effort while providing good accuracy compared to the traditional expert evaluation method. The optimization of the SVM model by IGWO and feature selection by the MIC-CFS method results in a more concise SVM model that converges faster during training, exhibits better stability, and achieves higher accuracy. [ABSTRACT FROM AUTHOR]

The four-way-shuttle-based storage and retrieval system is a recent innovative intelligent vertical warehousing system that has been widely applied in manufacturing and e-commerce environments due to its high flexibility and density. As a complex multi-device cooperative operational system, this system features the parallel operation of multiple elevators and four-way shuttles. During large-scale-batch inbound operations, the quality of scheduling solutions for inbound-operation equipment significantly impacts the system's efficiency and performance. In this paper, a detailed analysis of the inbound-operation process in the system is conducted, taking into consideration the motion characteristics of both the elevators and four-way shuttles. Furthermore, we establish operational time constraints that account for equipment acceleration and deceleration characteristics and introduce a flexible flow-shop-scheduling model to address the scheduling problem in the system. Additionally, we propose an improved genetic algorithm based on double-layer encoding to solve this problem. Comparative experiments with a traditional genetic algorithm and ant-colony algorithm demonstrate the superior efficiency and accuracy of our approach. Finally, the effectiveness of the proposed algorithm is validated through comparisons with large-scale practical experiments. [ABSTRACT FROM AUTHOR]

The attenuation of the structure-borne sound caused by elevator systems in residential buildings is a priority for manufacturers. This work develops a model of an active control isolation system for the vibrations produced by the elevator drive machine. This solution proposes the substitution of conventional passive isolators by new ones made of a magnetorheological elastomer (MRE), a smart material whose modulus can be modified by applying a magnetic field. To guide the design process, MRE isolators are fabricated and experimentally tested statically and dynamically in compression mode. Subsequently, the parameters of the MRE are fitted to build a nonlinear material sub-model that accounts for the frequency, amplitude, and magnetic field dependency. Afterward, a global model of the elevator drive machine vibration isolation system is developed, which incorporates the drive machine, structure, and MRE-based isolator. To enhance vibration isolation, two active control strategies are designed and assessed. Simulation results predict that active control systems based on MRE isolators improve vibration isolation as compared to traditional passive systems. The excitation amplitude and frequency, along with the control strategy and magnetization of the MRE isolators are shown to be critical parameters when designing an active control solution. [ABSTRACT FROM AUTHOR]

The global population is rapidly increasing, and the urban population is on an even faster trend; therefore, the population density is expected to rise. As the number of people in cities grows, the demand for high-rise buildings is anticipated to increase to address the problem of limited land resources. Therefore, efficient energy management using distributed resources has become increasingly important. Elevators are a vital vertical means of transportation in high-rise buildings, and reducing the weight of their components can lead to favorable conditions for energy utilization and increased speed. Therefore, this study presents an elevator system that supplies power inside an elevator car by eliminating the traveling cable and applying a small-capacity energy storage system (ESS). Additionally, we propose a charging algorithm suitable for the proposed system. Generally, batteries have sensitive electrical properties among the distributed energy resources (DERs). Therefore, controlling the stable maintenance of the transient state of the charging current—even when the DC power is unstable or the load changes rapidly in a system requiring fast charging—is crucial. Owing to the nature of the elevator system to be applied, discontinuous charging is frequent, and the active and efficient management of the battery state of charge (SOC) may be challenging. In addition, since it is necessary to be able to charge as much as possible during a short discontinuous charging time, a current control algorithm with a stable and high-speed response is required. The proposed transient high-speed tracking controller (THSTC) is a method for tracking the time of applying an inductor's excitation voltage without pulse–width modulation (PWM) switching, which is less sensitive to the controller gain values and has fast responsiveness as well as stable transient response characteristics. The proposed method has good dynamic characteristics with a simple control structure without a complex design, which is useful for systems with repeated discontinuous charging. We validate the performance and effectiveness of the proposed controller through simulations and experiments. [ABSTRACT FROM AUTHOR]

The article studies enterprises of the grain-product subcomplex engaged in the production and sale of grain for both domestic consumption and export. The author studies the cluster approach as a basis for grain export mechanism development, the key element of which is the principle of combining functions of sales, storage, and shipment of products in the transportation and logistics part of the cluster. Achievement of synergetic effect in this case is conditioned by mutually beneficial cooperation of subjects on the investment and innovation basis. The paper summarizes main stages of organizing agricultural exports, each of which presents a list of procedures and composition of the documents used. Based on the conducted research, modern mechanism of export of products (grain) by agricultural enterprises has been presented with the allocation of subjects by stages of the export life cycle depending on the way of its realization (directly, through an intermediary, or as a cluster participant). The example of an export-oriented enterprise in the Saratov region shows clustering effectiveness, which consists in minimizing transaction costs by reducing other implementation costs. The research results can be used when developing programs and proposals to strengthen integration ties between the subjects of agro-industrial complex.

An electrical motors, together with its appropriate drive system, is one of the most important elements of electromobility. In recent years, there has been a particular interest by academic researchers and engineers in permanent-magnet motors (PMSMs) in various applications, such as electric vehicles, Unmanned Aerial Vehicles (UAVs), elevator systems, etc., as the main source of drive transmission. Nowadays, the elevator industry, with the evolution of magnetic materials, has turned to gearless PMSMs over geared induction motors (IMs). One of the most important elements that is given special emphasis in these applications is proper motor design in consideration of the weight and speed of the chamber to be served during operation. This paper presents a design of a high-efficiency PMSM, in which finite elements analysis (FEA) and the study of the lift operating cycle provided useful conclusions on the magnetic field of the machine in different operating states. In addition, a simulated model was compared with experimental results of test operations. Furthermore, the drive system also required the use of appropriate electrical power and controls to drive the PMSM. Especially in elevator applications, the control of the motor speed by the variable voltage variable frequency technique (VVVF) is the most common technology used to avoid endangering the safety of the passengers. Thus, suitable speed and current controllers were used for this purpose. In our research, we focused on studying different control techniques using a suitable inverter to compare the system operation in each case studied.

Education in GREEN electrical energy and production usage is essential for young people. Every consumer can do a lot if they use electrical devices wisely. This paper will present the design, intention and use of a didactical learning exhibit for middle and high school students during technical days on faculty and faculty promotions and for educational purposes. Our main goal is to introduce students to how some everyday electrical devices work, how much energy they use and how they can save as users. The most significant emphasis will be electromagnetic devices such as elevators and devices we use daily. We will use a professional approach and design for that purpose, but we will focus on presenting it on an interactive touchscreen and small examples of those devices. The content will be in graded expertise levels, from simple picture and animation calculations to the advanced picture and mathematical model presentations. The exhibit will be designed modularly so that content or presentation can change quickly and be made from recycled or sustainable materials as much as possible. [ABSTRACT FROM AUTHOR]

The brake system must be reliable and display unchanging action throughout its use, as it guards the health and life of many people. Properly matched friction pair, a drum, and a brake pad have a great impact on these factors. The brake pads are far more complex components. New technologies make it possible to develop materials with various compositions and different proportions and connect them permanently in fully controllable processes. This elaboration shows that all these factors have a greater or lesser impact on the coefficient of friction, resistance to friction wear and high temperature, and the brake pad's operating life. The friction materials are required to provide a stable coefficient of friction and a low wear rate at various operating speeds, pressures, temperatures, and environmental conditions. The aim of this work is therefore to investigate the possibility of using a Finite Element Analysis (FEA) approach to evaluate the braking performance of a heavy-duty elevator with different nonconventional pad materials including Composite Carbon fiber reinforced, Composite Epoxy SMC and SiC (silicon carbide). The results show that the performance of SiC (silicon carbide) is better than two other materials. In the braking system with SiC, the required time for stoppage of the system is lower than two other materials. [ABSTRACT FROM AUTHOR]

This study proposes a LiDAR-sensor-based elevator recognition technique to prevent collisions caused by poor operation and the cognitive decline of wheelchair users with upper limb disabilities. Existing elevator recognition studies show high performance for elevator door recognition, but this can only be recognized at a position where the elevator can be viewed directly due to the angle of view range of the sensor. This is not appropriate for wheelchair users who are inexperienced in operation because alignment must be performed directly based on the elevator. Therefore, this study presents a LiDAR-sensor-based elevator recognition technique that can detect elevators from the side to the position and at an angle to the front in order to solve this problem. In addition, this study proposes a technique for recognizing elevator gates finished with low- and high-reflective materials in order to enable recognition in various elevator environments. In order to quantitatively verify the elevator recognition technique proposed in this study, experiments were conducted in an elevator environment consisting of low and high reflections. The results of the experiments confirmed that there was no problem in applying the wheelchair active driving technique. [ABSTRACT FROM AUTHOR]

Elevators are essential tools in daily life; timely and accurate fault diagnosis plays a crucial role in ensuring their safe operation. However, the existing elevator fault diagnosis methods often neglect the imbalance between the actual collected normal samples and the fault samples, resulting in low diagnostic accuracy. In this study, we propose an improved Aquila optimizer (IAO) extreme gradient boosting tree (XGBoost)-based elevator fault diagnosis method under unbalanced samples. The proposed method includes three main components: multi-domain feature extraction, sample balancing, and fault diagnosis. In the feature extraction phase, the time domain, frequency domain and entropy features of the vibration signal are extracted. In the sample balance phase, aiming at the problem of unbalanced fault samples, after feature selection using recursive feature elimination (RFE), the minority class samples are oversampled by applying SMOTE-Tomek. In the fault diagnosis phase, IAO is used to optimize the hyperparameters in the XGBoost, and the optimized hyperparameters are brought into XGBoost for fault diagnosis. The fault diagnosis accuracy of the method proposed in this study can reach 99.06%, and the method can accurately identify the fault state of the elevator. [ABSTRACT FROM AUTHOR]

Because of the function of facilities that transport individuals and luggage to elevated locations, poor maintenance and human errors by users and workers can result in many elevator accidents annually. In particular, given the characteristics of an elevator used by an unspecified number of people, in the event of a fall accident due to wire rope cutting, an occupant's body may be fatally injured, thereby causing substantial human damage. To minimize human injury, it is important to reduce the relative impact speed between the car and the pit by utilizing the buffer effect according to the role of the safety device and the posture of occupants. The AIS (Abbreviated Injury Scale) is an anatomical-based coding system established by the Association for the Advancement of Automotive Medicine that classifies and describes the severity of injuries. In this study, through human injury analysis, safety device operation such as speed governor and buffer when cutting elevator wire rope, occupant's behavior, and air mat usage were used to derive force and torque values for the injured part, and then determine the amount of impact and degree of injury to the human body using the multibody model provided by the MADYMO program and AIS by analyzing the buffering effect of the impact. [ABSTRACT FROM AUTHOR]

In this work, elevators shaped by NACA 0012 were deployed on the outer surfaces of tubes in a Flat-tube-and-fin heat exchanger, and their structural details were numerically investigated. Then, following an infrared experiment validation, heat transfer coefficient, pressure loss and JF factor were numerically compared to confirm performance enhancement. It is found that the maximum deviations between numerical and experimental data, 6,31 % of heat transfer coefficient and 3,84 % of pressure loss, secure the accuracy of the following comparison, and the maximum increases of heat transfer coefficient, pressure loss, and JF factor are 7,20 %, 0,07 %, and 7,09 % at 12 m/s, respectively.

With the development of the times, elevator has become an essential transportation in our life. In order to meet the comfort of elevator operation, this paper investigates the design of the speed control system of elevator permanent magnet synchronous traction motor in combination with the elevator operation curve. The whole system is based on SVPWM and uses direct torque control combined with fuzzy adaptive PID to achieve accurate control of motor running speed. It includes the input signal module, control module, drive module and feedback module. Firstly, the analysis of each module in the system is completed, and the connection between the modules is established, as well as the control system. Then case studies are carried out on MATLAB/SIMULINK, and the actual running speed curve of the elevator is obtained, and the simulation results are analyzed to verify the stability and reliability of this speed control system and complete the design.

A Distributed Elevator Fault Diagnosis System (DEFDS) is developed to tackle frequent malfunctions stemming from the widespread distribution and aging of elevator systems. Due to the complexity of elevator fault data and the subtlety of fault characteristics, traditional methods such as visual inspections and basic operational tests fall short in detecting early signs of mechanical wear and electrical issues. These conventional techniques often fail to recognize subtle fault characteristics, necessitating more advanced diagnostic tools. In response, this paper introduces a Principal Component Analysis–Long Short-Term Memory (PCA-LSTM) method for fault diagnosis. The distributed system decentralizes the fault diagnosis process to individual elevator units, utilizing PCA’s feature selection capabilities in high-dimensional spaces to extract and reduce the dimensionality of fault features. Subsequently, the LSTM model is employed for fault prediction. Elevator models within the system exchange data to refine and optimize a global prediction model. The efficacy of this approach is substantiated through empirical validation with actual data, achieving an accuracy rate of 90% and thereby confirming the method’s effectiveness in facilitating distributed elevator fault diagnosis.

The need to maintain the thermal stability of grain at the stage of its elevator, often many hours, drying and subsequent storage limits the possibility of intensifying these processes. Shaft, column, drum and other dryers, modern granaries are bulky and energy-intensive, weakly or not at all connected with the subsequent stages of grain processing, which, in turn, are lengthy and multi-stage, which often leads to a decrease in the quality of the final product. For a cardinal solution to this problem, it is proposed to deliberately violate its thermal stability already at the stage of post-harvest drying of field grain, using the method of thermal trudging - high-speed heating, drying and explosion (swelling) of grain during its high-temperature processing in oncoming jets for 3-5 seconds. The product of thermal trudging is strudate, a grain in which raw starch is converted into dextrins and sugars, while it is disinfected from harmful inhibitors while maintaining the microelement and vitamin composition. Thus, the process of elevator drying and expensive storage of grain is replaced by thermal trudging with simplified (without drying and ventilation) floor storage of grain and obtaining a finished product of high quality or a semi-finished product used in flour-grinding, alcohol, oil-fat, and other technologies. Implementation of a new approach to the processing and storage of grain is possible on the basis of the developed technology of thermal trudging. Pilot-industrial and industrial thermal struders of two types have been created - autonomous and satellite, re-equipped on the basis of the reconstruction of standard grain dryers. In the article, various modifications of thermostruders and the principle of their work are considered. Long-term operation of thermal struders operating on flue gas heat carriers, hot air, superheated water vapor with a previously unattainable temperature up to +600 °C (even without a special task of grain drying) showed high economic efficiency, which increases when field grain is burrowed with high humidity. The versatility of thermostruders allows the use of heat-labile modes of high-intensity drying for seed grains as well.

In this work, after the elevators shaped by NACA 0012 were proposed for the Flat-tube-and-fin heat exchanger (FTFHE) with an experimental validation, a signal-to-noise (SNR) analysis was considered for the contribution rate (CR) of structural parameters. It is found that, for CR, chord length dominates with 43,44 % as the minimum 13,11 % escort orientation point. Besides those, the mounted angle of 0°, the chord length of 6,4 mm, the extruded length of 1 mm or Orientation point 6 might only benefit heat transfer, while 8°, 6 mm or 0,9 mm purely serves pressure loss disregarding orientation point.

Overhead hoist transportation systems (OHTS) have been the subject of worldwide research and development in recent years. The majority of these systems are utilized in semi-automated or fully automated factories. This article proposes a new solution for OTHS based on the concept of the modulation of mobile units that can move on a railway structure from one point to another. The OHTS mentioned in this article is a group of shuttles that can operate independently but which also have the ability to cooperate together to complete the desired tasks. By using the space below the ceiling, this system can operate without affecting the original design of the factories. There are many potential fields of application for picking-up and delivering, such as the medical field, the food and beverage fields, automotive and electrical appliances, etc. Moreover, by applying Dijkstra's algorithm in the controller design, the transportation speed among the stations in the whole system can be improved. The real prototype of the whole system, including three shuttles, is also manufactured to explore and assess the design and operation of the proposed system and its controller. [ABSTRACT FROM AUTHOR]

For planning a robot's path inside a large building with one or more elevators, we develop a topological map, called the building Voronoi graph. Using the building Voronoi graph, the robot finds the shortest path to the goal and follows the path. In the case where the robot detects an object with arbitrary shapes (e.g., human) while following the path, the robot avoids the object utilizing reactive control laws. The proposed reactive collision-avoidance control is unique in considering collision avoidance with map environments as well as (moving or static) objects having arbitrary shapes. As far as we know, our paper is novel in addressing how to make the robot follow the building Voronoi graph, while avoiding collision with map environments as well as objects with arbitrary shapes. [ABSTRACT FROM AUTHOR]

In the installation process of an elevator, work performs to correct the bending of the rail in order to suppress the lateral vibration of the car due to the irregularity of the guide rail. In this work, each rail bracket is adjusted so that the cutting edge of the rail is in the specified horizontal position with respect to the piano wire. However, since the rail is bent at the joint, irregularities remain even if the brackets are lined up in a straight line. Such a method cannot suppress the lateral vibration of the car and may worsen it. In this research, we proposed a method of optimizing the rail shape to minimize the vibration of the car based on a rail behavior model in that adjustment process and a car vibration model. The effect was verified in an experiment using an actual elevator. In the elevator system, large vibration had been occurred because the periodic excitation force determined by the running speed and rail bending period matched the natural frequency of the car. By adjusting the rails based on proposed method, we avoided resonance and reduced lateral vibration by 37%. This verification showed that the use of the proposed method enabled significant vibration reduction in a short period of time.

Navigating between the different floors of a multistory building is a task that requires walking up or down stairs or taking an elevator or lift. This work proposes a procedure to take a remotely controlled elevator with an autonomous mobile robot based on 2D LIDAR. The application of the procedure requires ICP matching for mobile robot self-localization, a building with remotely controlled elevators, and a 2D map of the floors of the building detailing the position of the elevators. The results show that the application of the procedure enables an autonomous mobile robot to take a remotely controlled elevator and to navigate between floors based on 2D LIDAR information. [ABSTRACT FROM AUTHOR]

The elevator car moves up and down by means of guide rails on a pedestal inside the hoistway. Guide rails can be damaged during movement due to the stresses caused by suddenly movement waves. The study was carried out to determine the stresses that occur in the guide rails during sudden movement fluctuations. In the study, the traffic calculation of a 10- person elevator with 2 apartments on each floor of 10 floors was taken into account. The stresses that will occur in the car guide rails depending on the car loadings were investigated in ANSYS21.R2 with ANSYS Workbench, where a maximum load of 6300 N acts on the car floor and with a finite element analysis with a safety factor of 1,5. Theoretical and analysis results were compared. Theoretical and analysis results were compared. Theoretical Normal stress is 3,407 MPa, Von-misses stress is 5,735 MPa, normal stress is 12,182 MPa and Von-misses stress 17,933 MPa in the analysis for the centrally guided suspended cabin safety condition. For decentralized cabinet safety situation, stresses were obtained 4,32 and 7,705 MPa Normal stress, Vonmisses stress in theory, 15,401 and 22,4 MPa Normal stress and Von-misses stresses in analysis, respectively. In the sideguided cabin safety gear, the theoretical Normal stress was 9,052 MPa, the Von-misses stress was 12,438 MPa, the normal stress was 31,139 MPa, and the Von-misses stress was 48,234 MPa in the analysis. As a result, it was seen that the normal and Von-misses stresses obtained in theory were lower than the normal and Von-misses stresses obtained in the numerical analysis. Accordingly, it has been determined that the most suitable cabin type is the centrally guided cabin type. [ABSTRACT FROM AUTHOR]

This study aims to design a new hybrid twin autonomous underwater vehicle (HTAUV) consisting of dual cylinder hulls and analyze its pitching motion. The kinematic model for the HTAUV is established, followed by the execution of hydrodynamic simulation CFD of the HTAUV using Ansys Fluent. These simulations are conducted to obtain the hydrodynamic force equation of the HTAUV, which relates to the deflection angle of the elevator. Through the motion simulation of the HTAUV, under the same net buoyancy condition, notable differences emerge when the elevator is deflected. Specifically, parameters such as gliding speed, gliding angle, and pitch angle of the HTAUV are larger when the elevator is deflected, as compared to cases where no deflection is applied.

This paper presents the energy savings achieved by using a particular three-phase permanent-magnet motor drive control strategy in an elevator application. The proposed control methodology, based on a particular variable-amplitude variable-frequency voltage control pattern technique implemented in a permanent-magnet motor, is compared to a standard induction motor elevator case. By adopting appropriate simultaneous changes in the amplitude and frequency of the motor voltage, high speeds can be attained in conjunction with smooth starting and stopping actions involving a reduced supply current during the respective movement of the elevator. In addition, this method exhibits a high power factor with a good driving quality. The control technique introduced achieves the levelling-off of the floor and the group movement of the system using in the programmable memory a speed pattern that is generated targeting proportionality to the position of the lift. In that respect, significant energy savings can be obtained, which, depending on the type of motor implemented, can be up to 30% compared to the conventional techniques. These improvements can be attained with the appropriate handling of the applied pulse width modulation techniques. Various simulated and experimental results are given, illustrating the respective energy savings achieved with the proposed methodology. [ABSTRACT FROM AUTHOR]

The number of high-rise buildings is increasing day by day in order to use the limited space more effectively in cities that are concentrated with increasing urbanization. The fact that Istanbul is the 7th city with the highest number of high-rise buildings in the world shows the place of our country in the field and the importance that should be given to the subject. One of the biggest problems encountered in high-rise buildings is long evacuation times. The extended evacuation route with the increasing number of floors makes evacuation difficult. In this study, the issue of evacuation of high-rise buildings by elevator which has been discussed and researched for many years is examined. Standards and regulations that allow evacuation by elevator in the world have been provided. The building model created on the İş Tower building in Istanbul, which has recently been the tallest building in Turkey, has been analyzed with simulations. In the study, the effect of the use of elevators on the evacuation time of the building was examined. In 5 different scenarios modeled, it was examined that what fraction of the occupants of each floor should use the elevators and stairs to reach the shortest evacuation time. As a result, it was seen that the shortest evacuation time was reached when 25% of the occupants on each floor were evacuated by elevator and the remaining 75% by stairs. In this scenario, an approximate 18% reduction in evacuation time was observed compared to the use of stairs alone. In addition, architectural factors that prevent the most effective use of the building's evacuation components are mentioned. [ABSTRACT FROM AUTHOR]

Determine the temporal and spatial characteristics of stairs versus elevator use in a university residence hall to inform future physical activity promotion efforts. All residents and visitors for a single, four-story residence hall dormitory building located on a college campus in Orange, CA. Smart mat systems capable of detecting pedestrian traffic were placed in front of the stairs and elevators on each floor plus a basement. Generalized additive mixed models (GAMMs) were used to compare stair versus elevator usage at different times of the day and on different floors. Stair versus elevator use varied much more throughout the day on floors nearest to the ground floor, with stair use most common in the morning. Overall, the elevator was used more frequently on higher floors, with less variation throughout the day. To be most effective, future stair promotion interventions should target residents on higher floors and in the morning. [ABSTRACT FROM AUTHOR]