Transmission equipment testing based on internet of things

In order to reduce the temporary failure of transmission equipment, intelligent information fusion technology was introduced. The intelligent processing of information in the Internet of things was implemented. Then, the online detection information and inspection information in the Internet of things were applied. The advantages and disadvantages of various information fusion methods were compared. The integration method of fuzzy evidence theory was introduced. Based on the fuzzy theory and the evidence theory, the integrated information fusion fault diagnosis model was established. According to the fusion model, the fault information pre-processing was realized by means of membership function and bipolar ratio method. In the local fusion diagnosis based on fuzzy theory, AHP was used to construct the fuzzy transformation matrix. In the decision fusion diagnosis based on evidence theory, the integrated local fusion results were integrated to realize the decision fusion of the fault information. Accurate diagnosis results were obtained. Finally, the example of power transformer was analysed. The results showed that the diagnostic results of this method were accurate. Therefore, this method can effectively improve the accuracy and reliability of diagnosis, and reduce the uncertainty of diagnosis. It provides an effective way and method for the research of fault diagnosis of transmission and transformation equipment. © 2018, Cefin Publishing House. All rights reserved.