Search

With the development of the cloud platform and power Internet of Things, how to effectively connect the physical world and the digital world, realize the interconnection of all things in power terminals, deeply integrate data, and tap the economic value of data is an important issue. Based on the company’s business and technology development status, this paper proposes the power Internet of Things data fusion based on cloud and NFV, discusses data storage, circulation and management methods in the power Internet of Things cloud platform environment, and completes accurate and efficient data analysis. Responding to the access of a large number of distributed energy sources, multiple business concurrency and joint data analysis needs, and improve data analysis and sharing capabilities.

Salivary amylase, encoded by the AMY1 gene, is responsible for the digestion of carbohydrates. We investigated associations of AMY1 genetic variations with general and central adiposity changes considering dietary carbohydrate intake among 32,054 adults from four prospective cohort studies. A genetic risk score (GRS) was calculated based on nine AMY1 single-nucleotide polymorphisms, with higher AMY1-GRS indicating higher activity of salivary amylase. We meta-analyzed interactions between AMY1-GRS and dietary intake for changes in general and central adiposity over 5.5–10 years. We found that carbohydrate food intake significantly altered associations of AMY1-GRS with changes in BMI (Pinteraction = 0.001) and waist circumference (Pinteraction < 0.001). Results were consistent and significant in female cohorts rather than in male cohorts. Among women, higher AMY1-GRS was associated with more increases in adiposity if dietary carbohydrate food intake was high, while higher AMY1-GRS was associated with less gains in adiposity when the dietary intake was low. Also, in a 2-year randomized dietary intervention trial, associations of AMY1-GRS with changes in weight (Pinteraction = 0.023) and waist circumference (Pinteraction = 0.037) were significantly modified by carbohydrate intake. Our results suggest the importance of precision nutrition strategies considering participants’ genetic adaptation to carbohydrate-rich diets in regulating general and central adiposity.

In order to solve the problem of low accuracy of fault diagnosis algorithms caused by increased network dynamics, this paper proposes a dynamic network fault diagnosis algorithm under 5G network slices. By calculating the failure credibility of each link, a clustering algorithm is used to cluster the symptoms to correct the false symptoms. When constructing the fault propagation model, the time slice t is added to the fault propagation model, thereby depicting different network models in different time slices. Finally, locate the fault by solving the original state and current state of the faulty node. The experimental part compares the algorithm of this paper with the existing algorithm, and verifies that the algorithm of this paper improves the performance of the fault diagnosis algorithm.

This paper addresses a consensus-based approach for visual servo control of multiple mobile robots. The basic idea is to utilize single-integrator consensus techniques to design a image-based visual servo control algorithm for each robot under a certain network. The aim of this work is to extract common objects between different images captured by different robots and adjust the positions and orientations of robots to concentrate on common objects. We show that if the union of communication graphs has a directed spanning tree, the states of robots would achieve consensus based on the relative states. At the end of this paper we present experiments to verify the feasibility and effectiveness of proposed algorithms.

Electric vehicles have gained more and more attention because of the serious oil crisis and environmental problems. However, the disadvantages of the electric vehicle, such as short driving range, high battery cost, and inconvenient charging, are hindering its market development and expansion. The realization of on-road wireless power transfer technology can effectively solve the problems of short driving range, prevent the battery from being completely discharged to prolong its service life, and reduce requirement of on-board battery. In this paper, the charging mode and the compensation topology of wireless power transfer technology are discussed and then the equivalent circuit model of segmental wireless power transfer system is built. We carried out some magnetic field simulation to analyze how the track shape and length influence coupling coefficient, which is later verified by experiments.

With the development of artificial intelligence, machine learning methods have been widely applied to predictive modelling in various fields. Support vector machine is a linear classifier with the largest interval defined on the feature space. In order to improve the current status of server operation and maintenance, and improve the accuracy and efficiency of server health prediction, this paper studies the feature quantity selection based on grey relational analysis, studies the support vector machine applied to data generalization and classification, and establishes a health prediction model. The simulation training of historical data shows that the method has fast learning, high prediction speed, high efficiency, high accuracy and wide application prospects.

With the planning and construction of the ubiquitous power Internet of Things(UPIOT), how to achieve secure connection and interaction between the platform and the terminal becomes a crucial issue. Based on cloud computing and edge computing, this paper constructs the “edge-cloud collaboration” architecture of UPIOT to meet the functional requirements of grid-side intelligent services and core-side data analysis and low-latency, high-bandwidth, and large-access performance. According to the actual deployment situation of Jiangsu electric power, the firewall and VPN application scenario security protection scheme is proposed to provide a theoretical basis for the UPIOT security protection.

This paper derives mathematics model of 6-pulse diode rectifiers. Its periodic orbit model and Poincare mapping are established and its steady state performance index and stability margin index can be calculated by the model. dc bus voltage sag can be assessed by the periodic orbit model and the mathematics model. The model is validated by comparison of the resultant steady state and dynamic state behaviors with those obtained from extensive simulations of detailed 6-pulse diode rectifiers model. It is shown that the model can capture the key features of the dynamic response of the rectifiers and dc bus voltage sag, which can be used for performance assessment of dc power systems with the diode rectifiers.

Concerning the difficulties of parameter tuning and poor anti-interference performance in the traditional proportional plus derivative virtual inertia control (PDVIC), this paper presents an improved frequency response control scheme of directly-driven wind turbine with permanent magnet synchronous generator (D-PMSG) based on the active disturbance rejection control (ADRC). The algorithm realizes the power grid disturbance estimation and compensation by using the extended state observer (ESO) to reject the disturbance. With the introduction of the capacity factor of wind turbines, the D-PMSG could provide frequency support for the power system according to their abilities. Compared with PDVIC, this method has better adaptability and robustness. Simulation results confirmed the validity and feasibility of the virtual inertia control based on the ADRC.

The characteristics of two-actuator controlled fuel injection system which is established by the Electronic Unit Pump and Common Rail injector to realize independent controlling the pumping and injection processes are investigated from the point of experimental analysis. The experimental results indicate that high pressure up to 130Mpa can be generated on the advance two-actuator system at low camshaft speed. Meanwhile, synchronous variations of the pumping and injection timing have little influence on the fuel pressure and injection rates, the reason for this phenomenon is that fuel injection characteristics here are mainly determined by the cam lift and velocity. Two-actuator system enables to generate the desired Nozzle Opening Pressure timely and produce a very flexible control of injection rate through changing control parameters of both Spill Control Valve and Nozzle Control Valve, which have great capabilities on fuel atomization and air-fuel mixture formation.

The multiple injection characteristics of two-actuator controlled fuel injection system(two-actuator system) were investigated in this paper, which was established by the Electronic Unit Pump and Common Rail injector to realize the way to independently control the pumping and injection processes. The two-actuator system simulation model was validated and the results indicated consistency between the calculative and the experimental one. Consequently, the model is capable of predicting the characteristics of two-actuator system and plays an extension and complementarity role for experiments, The simulation results of multiple injections illustrated that two-actuator system enables to generate different nozzle opening pressure efficiently and produce a very flexible control of injection rate through changing control parameters of both SCV and NCV.