With the advent of the era of Internet of Everything, the amount of data generated by edge devices in the distribution network has increased rapidly, bringing higher data transmission bandwidth requirements. At the same time, new applications have placed higher demands on the real-time nature of data processing, and traditional computing models have been unable to cope effectively.This paper proposes distributed power distribution fault detection based on edge computing, which can realize timely sensing and real-time response to distribution network faults, speed up distribution fault processing speed, shorten power outage time, improve power supply reliability and user satisfaction.Secondly, the basic principle of wavelet transform application in signal singularity detection is introduced, and a power signal fault signal analysis method based on wavelet transform is proposed. It not only makes full use of the advantages of wavelet transform in fault signal analysis, but also overcomes the shortcomings of traditional Fourier transform method, and verifies it through examples.Finally, based on the critical requirements of edge computing, such as agile connection, business real-time, data optimization, application intelligence, security and privacy protection, an evaluation system based on edge computing CROSS index fault detection model is proposed.

With the development of global economic integration, the scale of supply chain network is becoming larger and larger. The research on the benefits of supply chain network under the Internet of Things technology is a new interdisciplinary research issue. Starting from the complexity and evolution of supply chain network, based on machine learning algorithms, this study analyses the service modes of the Internet of Things for supply chain enterprises, such as RFID technology, EDI technology, and enterprise resource planning ERP. Finally, by analyzing the degree of application of the Internet of Things in different industries, the manufacturing industry is selected for simulation. It is found that the introduction of the Internet of Things is conducive to speeding up the evolution of enterprise supply chain. Thus, the horizontal integration of the optimized path supply chain can effectively improve the overall profits of enterprises and provide theoretical support for the Internet of Things service supply chain.

Internet of things technology has brought new opportunities for rural informatization. The quality of rural information environment is directly related to the level of rural informatization. So accurately understanding the status and level of information environment in rural areas is a prerequisite for rural informatization. This study assess differences in rural information environment by developing a framework based on fuzzy comprehensive evaluation method for measure information environment changes. The assessment focus on three aspects: one is the evaluation of the overall rural information environment based on macro-factors in time dimension, the other is in 31 different provinces in space dimension, and the third is the evaluation of regional rural information environment based on macro-and subjective factors. The Probit model reveals the influence of various factors on the rural information environment, which constitute the primary and secondary indicators of the evaluation system. The fuzzy comprehensive evaluation method is adopted to evaluate the rural information environment, and the cluster analysis is applied to the results. The results show that the differences of rural information environment exist objectively, which are the result of a variety of subjective and objective factors. And the differences in rural information environment promote the diversified development path of rural information construction. These findings have clear policy implication for the rural ministry, since understanding the changes and differences in the rural information environment is important for their successful development. Results of the experimental applications of this evaluation system are given to illustrate the proposed method.

This study applies the Internet of things information-aware technology to the process of electronic market warehousing and logistics management, effectively perceives warehouse electronic product logistics information, and improves the real-time perception of electronic product logistics information and the efficiency of electronic product storage logistics management. This study first analyzes the needs of the intelligent electronic market warehouse logistics management system and then builds the IoT architecture of the intelligent warehouse logistics assembly logistics management system for electronic warehouses based on machine learning algorithms, which solves the problems that exist in the current workshop electronic market warehouse logistics management. Then, the principle of RFID technology is introduced. The accuracy of RFID tag estimation is analyzed by the PEPC tag estimation algorithm. It is concluded that the PEPC tag estimation algorithm reduces the tag estimation error and improves the accuracy of tag estimation. Finally, an intelligent warehousing logistics management system based on IoT RFID technology is established. The test results show that the system can meet the requirements of intelligent warehousing function in the electronic market, which will greatly improve the warehousing efficiency of electronic products.

In recent years, with the development of the economy, the building industry has developed rapidly. However, due to the frequent construction safety accidents caused by natural factors and human factors, construction safety issues have also attracted the attention of the government and all walks of life. The widespread use of the Internet has made CPS an advanced technology that adapts to new social development methods and strengthens national construction. In this paper, in order to reduce the losses caused by construction accidents, firstly, the types of safety accidents are analyzed. Secondly, on the basis of CPS technology, a safety system for building workers is constructed, which is mainly composed of four parts, which are personnel management system, risk crosswarning system, monitoring, early warning system, and remote monitoring system, combined with related supporting systems. Finally, the fuzzy evaluation method is used to evaluate the safety system. It is concluded that in the process of building safety construction, prejob training should be conducted to help workers establish safety awareness, and workers' contact with not safety areas should be minimized to reduce accidents in advance; the safety supervision system constructed in this paper will help improve the management level of building safety management and reduce the incidence and losses of accidents. The evaluation results prove the superiority and effectiveness of the system.

In recent years, the imbalance of rural information supply and demand has seriously hindered the process of rural informatization. Rural information demand is a decisive factor in the relationship between rural information supply and demand. Therefore, research on the influencing factors of rural information demand has attracted much attention. The traditional rural information demand factor analysis does not consider the correlation between factors. The factors themselves carry a lot of repeated information, which seriously interferes with the objectivity of the analysis results. Proceeding from the complexity and diversity of influencing factors of rural information demand, based on the selected subjective and objective factors, based on the forward partial correlation analysis and post-ROC test, a probit discriminant model of influencing factors of rural information demand was constructed, and the relationship with Lingshou was determined. There are 24 factors that are significantly related to county rural information needs. The research results show that this method not only eliminates the factors that carry highly repetitive information and the correlation is not significant but also makes the results more reliable. At the same time, it also found that rural information supply is related to farmers information cognition ability, acceptance awareness, and acceptance ability. This study provides new methods and new ideas for solving related problems.