Intelligent electric energy meter clock cell fault diagnosis method

Abstract

The invention discloses an intelligent electric energy meter clock cell fault diagnosis method. The intelligent electric energy meter clock cell fault diagnosis method includes the steps: combining fault mode influence analysis with fault tree analysis, after performing FMEA analysis on the intelligent electric energy meter fault, establishing a fault mode FMEA analytical table, combining with theFMEA analytical table, establishing a complete fault tree model, and performing FTA analysis on the clock cell fault to obtain the result of qualitative and quantitative analysis. The intelligent electric energy meter clock cell fault diagnosis method can quickly find out the fault mode causing occurrence of under-voltage of the cell and the reason for occurrence of the fault so as to greatly reduce blindness and complexity of fault diagnosis and improve the fault diagnosis speed and accuracy, thus being convenient for fault diagnosis management and targeted control during the application process, when the liquid crystal screen of the intelligent electric energy meter displays the content "err-04" or an alarm prompt about under-voltage of the cell.

Description

technical field [0001] The invention relates to the field of fault diagnosis of an intelligent electric energy meter, in particular to a fault diagnosis method for a clock battery of an intelligent electric energy meter. Background technique [0002] The clock battery is an important part of the smart energy meter and the key to maintaining the timing accuracy of the meter. Its main function is to provide power for the clock chip in the watch in the power-down state. [0003] With the extension of the operating life, due to the natural environment, external damage, production quality and human factors, meter alarms or clock confusion failures occur from time to time due to clock battery problems. [0004] Wrong time will lead to problems such as tariff rate switching error, frozen power transfer time error, etc., which affect the normal measurement of the electric meter, and seriously affect the time-sharing settlement of the smart electric energy meter. [0005] The struc...

AI Technical Summary

Problems solved by technology

However, in this method, there is no distinction in the treatment of fault causes, the diagnostic program is fixed, and the difference in the probability of occurrence of each fault cause is not highlighted. It cannot reflect its contribution to system faults, and cannot reflect the actual impact of factors such as use conditions and working hours on system faults. Not enough

[0008] Especially when it is necessary to understand the functional logic relationship and degree of correlation between faults at different levels of the system, and to find and eliminate system faults at the fastest speed and at the lowest cost, this method cannot meet the requirements

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