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For the model parameters of RSSI signal intensity location algorithm in wireless sensor networks are susceptible to environmental impact, the positioning accuracy cannot meet the needs of high-precision indoor positioning in specific scenarios. This paper presents a Zigbee indoor location algorithm based on improved neural network optimization algorithm. Quantum particle swarm optimization (QPSO) is used to optimize the smooth parameters of the generalized neural network. The root mean square error between the predicted coordinates and the actual coordinates of the location node is selected to construct the fitness function. With the help of MATLAB software, the simulation comparison between the QPSO-GRNN localization algorithm and the non-optimized GRNN localization algorithm is established. The experimental results show that the average error of the non-optimized GRNN localization algorithm is 1. 0143m, and the average error of the QPSO-GRNN localization algorithm is 0. 5683m. The improved positioning algorithm has high accuracy, strong robustness and anti-jamming ability. Zigbee indoor positioning technology based on improved neural network optimization algorithm has high positioning accuracy and good stability, and has certain application value and development prospects.

With the development of society, the automobile industry is increasing day by day, and the demand for automobile tires is increasing. In the production process of rubber tire tread winding, the width control before the rubber strip is particularly important, but the transmission speed of each AC motor group is difficult to be uniformly matched so that the production line needs to process stronger speed setting ability. This paper introduces the process flow and control requirements of tread winding production, takes PLC and frequency converter as the core, and combines the width measurement sensor to propose a fuzzy PID control system that based on traditional PID adjustment, and carries out simulation and verification in Matlab software. The result shows that fuzzy PID control speed regulation is superior to traditional PID control. It has certain reference value for the quality of tread wrapping and the stability of strip width in the wrapping line.

In order to solve the shortcomings of traditional industrial control network intrusion detection schemes, such as insensitivity to detection samples and inaccurate judgment of internal anomalies. An industrial control network intrusion detection scheme based on FCM algorithm and supervised Kohonen is proposed. FCM algorithm, FCM-GRNN network algorithm, FCM-BP network algorithm, FCM-Kohonen network algorithm and FCM-S_ Kohonen network algorithm are built on MATLAB software platform to test DARPA data samples. The accuracy of clustering results of different types of intrusion is counted according to five algorithms. The scheme can detect NORMAL, U2R, R2L, DoS and PRB network attacks more accurately, and the overall average classification accuracy rate is more than 95%.

With the development of society, people's requirements on living standards are constantly improving. As a convenient means of transportation, cars begin to enter people's life, which inevitably drives the growth of automobile demand and makes China's automobile industry show a rapid development trend. Rubber as an essential raw material in the automotive industry, its development prospects should not be underestimated. This article through to in the production of rubber used for rubber machine control, PLC and inverter as the core, combined with the Angle sensor, based on the fuzzy PID control algorithm for extruder for the easy to the problems that arise when a feed control system design, the control system for the glue supply machine, can make the continuous, rapid and stable feeding of the extruder. Make the quality of glue stable, improve the safety of production operation, improve the efficiency of production.

In chemical industry, metallurgy, petroleum and other industrial production processes, due to the existence of time delay, it is easy to cause the control quality of the control system to deteriorate or even become unstable. In this paper, the common equipment in the industrial process control system - heat exchanger as the controlled object, to study the control algorithm of systems with long time delay. We discuss the conventional PID control algorithm and the control algorithm based on Smith predictive control. The Matlab software is used to simulate the controlled object. The results show that compared with the conventional PID control, Smith predictive control effectively reduces the overshoot and adjustment time of the system and improves the response speed of the system, but it is only suitable for occasions with high control precision. Gain-adaptive smith predictive control still has a good control effect in the case of changed gain. The system of modified Smith predictive with regulator responds quickly and maintains good control performance in the case of changed time delay.

Aiming at the defects such as low measurement accuracy, low stability and high cost in the temperature and humidity detection system of greenhouse, a temperature and humidity detection system based on single neuron PID control was designed.The single-neuron PID system controller was used to build the system controller, and the DHT11 sensor, LCD1602 display, and STC89C52 single chip microcomputer were used to build the underlying hardware.MATLAB on the simulation, in this foundation for hardware debugging.The experimental results show that the system is easy to set, stable and accurate, and is controlled with single neuron PID. The system output is stable and robust, which can meet the temperature and humidity control process of large lag and stable output.

The “two sessions” of the company in 2019, the company’s chairman, Comrade Kou Wei, put forward the strategic goal of “three-type two networks, world-class”, making it clear that the 2021 will initially become a world-class Energy Internet company with Global Competitiveness It has also laid out key tasks in the distribution sector, including the strategy for vigorously fighting poverty through services and rural revitalization, making continuous efforts to improve the business environment for electricity generation, upgrading the construction of power distribution networks, and establishing standards and demonstration zones for power distribution networks. The company proposed the “1135” New Era Power Distribution Management Strategy: customer-centered, to improve power supply reliability as the main line, to strengthen standardized construction, lean operation and maintenance, intelligent management and control, we will endeavor to build a first-class modern distribution network with good structure, equipment, technology, management and service. By improving the distribution network’s ability of intelligent perception, data fusion and intelligent decision-making, a “clean, low-carbon, safe and efficient” intelligent distribution network energy system is constructed. The comprehensive error of electric energy measurement in distribution network is composed of voltage transformer error, current transformer error, watt-hour meter error and voltage drop of secondary circuit of voltage transformer. The measurement error caused by the voltage drop of the secondary circuit of the voltage transformer accounts for a large proportion of the total errors of electric energy measurement. Because the voltage drop is too large, causes the little electricity quantity as well as the generation and supply quantity imbalance, the line loss gives the negative number the example all to appear.

At present, the fire accidents caused by power equipment operation in substations are on the rise, especially for large transformers and high-resistance oil-filled equipment. The fire hazard and harm of electric power equipment can not be ignored. With the improvement of substation automation, Higher Requirements are put forward for fire safety, reliability, fire efficiency and preventive measures, so it is necessary to analyze and design the intelligent fire control system of UHV substation.

Since the beginning of the twenty-one th century, with the rapid development of China’s economy and the continuous progress of China’s power industry, it has contributed an indelible force to the development of China’s socialist undertakings The construction of power grid is very important to the development of society. The normal operation of the power grid can not be separated from regular inspection of power grid equipment and lines, so as to keep abreast of and understand the operation of power transmission lines and changes in the surrounding environment and Line Protection Areas Is the power supply enterprise a heavy daily work. Manual inspection is a traditional inspection method, but also the main way of transmission line inspection. Due to the complex terrain of the transmission line corridor, there are almost no patrol roads in some sections along the route in some harsh conditions such as river-crossing or high mountains and steep mountains. This patrol method has great labor intensity and difficult working conditions Transmission lines can not get timely feedback, and can not observe the real-time intuitive operation of lines and equipment. In this case, in response to the national “Internet +” strategic thinking, we initiated the “Internet +”, “UAV +” and “VR +” all-ecological power grid patrol mode Realize the power network equipment long-distance inspection, all-round inspection, real-time simulation inspection, inspection in bad environment, so that the cause of power inspection can take off.

With the improvement of ecological environment and the expansion of the scale of power grid construction, “bird damage” has brought great hidden dangers to the safe and stable operation of power grid. On the one hand, human awareness of natural protection has been enhanced, the speed of bird reproduction has been accelerated, and the threat of birds to the line has gradually increased. On the other hand, bird damage prevention measures were not considered in the early design of power grid. Bird damage was prevalent in operation. After bird damage, the response measures were not timely, the treatment efficiency was low, and the number of line trips and non-outages increased. Especially in some backward areas, once the power grid loses contact with the provincial network, it will cause large-scale blackouts in the county (township) often occur, which directly affects the safe, stable and reliable operation of the power grid. It is urgent to prevent bird damage on the line.