No abstract

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.

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.