Abstract
With the advent of the Internet of things era, many of the original power equipment and its fault information acquisition system have the problems of low efficiency, slow and inaccurate fault information collection speed, so the design of intelligent system is very important. The purpose of this study is to design the power equipment fault information acquisition system of the Internet of things, and analyze the collection speed and accuracy of the system. In this study, a power company in our city was taken as the experimental object to collect the fault information reported by the company, and put the new IOT fault information acquisition system into use in another company. After using for one month, the data collected by the power equipment fault information acquisition system of the Internet of things are compared with the original system, and the information collection amount, accuracy and acquisition speed are calculated. The research results show that the company's low-voltage user acquisition success rate has reached more than 99%, and the F1 value of the power equipment information acquisition system of the Internet of things is 96.4%, which is much higher than 86.3% and 75.7% of other systems. With the increase of time, the fault information collection efficiency can approach 99%. It shows that the power equipment information acquisition system of the Internet of things has higher accuracy and speed of information acquisition than the traditional system and other systems, and greatly improves the working efficiency of the system. The conclusion is that the function of this research system is better, the economic loss of the company is reduced, and the management is optimized. It makes contribution to the optimization and intelligent development of power equipment fault information acquisition system.
Research on Pressure-based Detection Technology for Partial Overheat Insulation Defect of Oil-less Power Equipment