According to the national fire situation statistics in 2022, electrical fires caused by residual current failures account for about 14% of the total. At present, the user-side load is increasingly complex, and the residual current signal is difficult to effectively identify, which seriously hinders the safe and healthy operation of smart cities, and it is urgent need for the residual current monitoring technology. Aiming at the hidden dangers of electricity consumption caused by residual current, this paper combined with the monitoring principle of residual current, proposed a cluster analysis of residual current hidden danger diagnosis technology based on particle size calculation, obtained the nonlinear relationship between characteristic data and other variables, output the residual current diagnosis results, and verified them in the laboratory and on-site conditions, realizing the effective monitoring of residual current in smart cities, which may improve the safety and reliability of city electricity.
Current sensing plays an important role in electric energy measurement, relay protection, intelligent equipment control and other fields in smart grid. Compared with traditional current transformers, for example, Rogowski coils and Hall current sensors, Tunnel magnetoresistance (TMR) sensor has the advantages of input/output magnetic isolation, AC and DC current measurement ability, wide bandwidth, small size, et al. Accordingly, TMR sensors are applicable for various scenarios and meet multiple current measurement needs. Based on the analysis of the principle of TMR sensor, the structure of current sensor system based on tunnelling magnetoresistance is introduced. Then, the designs of filter circuit and temperature compensation circuit are given. Finally, the experimental results show that TMR current sensor has good performance for current measurement, indicating widely applications in the field of current measurement in the future.
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