In order to study the key technologies suitable for large-scale intelligent electric energy meter automatic verification, the discrete verification mode is discussed from three aspects of data interaction, scheduling control, and intelligent diagnosis. First, build an application architecture for automated verification data from the perspective of multi-dimensional perception, use WCF and MQ communication modes to build a data interaction architecture, and propose a feedforward feedback integrated control mechanism; second, based on the automated verification control architecture, establish a space-time vertical and horizontal scheduling control strategy; finally. According to the category of automatic verification equipment, classify abnormal / fault categories and establish a fault knowledge base. Based on the intelligent diagnosis process of "alarm-discovery-diagnosis-processing-learning"mechanism, build an intelligent diagnosis application framework. The proposed method effectively guarantees the accuracy and reliability of the interactive data, realizes the automatic verification of space-time cooperative operation, and can effectively improve the daily operation and maintenance efficiency of large-scale automated verification.
CITATION STYLE
Xie, G., Zheng, X., Zhuang, D., Zheng, H., Chen, Y., Gao, Q., & Zhen, W. (2020). Research on the combination technology of smart meter status evaluation and acquisition function based on big data technology. In IOP Conference Series: Earth and Environmental Science (Vol. 558). IOP Publishing Ltd. https://doi.org/10.1088/1755-1315/558/5/052075
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