Open AccessAn Evaluation and Diagnosis Model for the Operating Tempo of Electric Energy Meter Auto-verification Line System based on Fuzzy Inference
Author(s) -
Lixin Wang,
Yan Xu,
Mihui Jiang,
Chen Li,
Xiaoqiong Huang,
Tong Li,
Min Yu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1659/1/012038
Subject(s) - bottleneck , computer science , timeout , fuzzy logic , real time computing , energy (signal processing) , line (geometry) , simulation , reliability engineering , engineering , embedded system , artificial intelligence , computer network , statistics , geometry , mathematics
With long-term operation of the electric energy meter auto-verification line system, any change of the operating tempo in each link may cause the decrease of the overall system efficiency. Due to the characteristics that the operating tempo change is not easy to detect and the bottleneck in system is difficult to locate, this paper proposes to take operation time T1 and cycle time T2 of each link as the evaluation basis of operating tempo, according to the operation characteristic of the auto-verification line system and the feasibility of time node acquisition. By analysing the timeout reasons of each link’s single T1 and single T2, 3 indicators for evaluating operating tempo in each links are proposed. Based on fuzzy inference, the evaluation score for each link’s operating tempo is calculated with the input of 3 indicators. Furthermore, the score can be used to diagnose the bottleneck in the auto-verification line system. The evaluation and diagnosis model is verified by case analysis, it can evaluate actual operating tempo of the auto-verification line system effectively, diagnose the “bottleneck” which affects the operation efficiency of the system, and provide strong support to improve the efficiency.