Software black-box testing system and method of intelligent electric-energy meter

Abstract

The invention provides a software black-box testing system and method of an intelligent electric-energy meter. The system includes the to-be-detected intelligent electric-energy meter, fault injectiontesting equipment, load and ripple detection equipment and a data analysis server. The data analysis server sends a fault injection instruction to the fault injection testing equipment, sends a second fault injection instruction to the load and ripple detection equipment, and analyzes first testing data and second testing data. The fault injection testing equipment injects interference and faultsimulation signals into the to-be-detected intelligent electric-energy meter. The to-be-detected intelligent electric-energy meter generates the first testing data. The load and ripple detection equipment collects and processes ripple voltage generated by the to-be-detected intelligent electric-energy meter in a case of having an electronic load, and obtains the second testing data. According to the scheme, the black-box testing method is adopted to automatically test software functions of the intelligent electric-energy meter, testing efficiency, testing coverage and testing depth can be improved, and software quality of the intelligent electric-energy meter can be effectively controlled.

Description

technical field [0001] The invention relates to the technical field of smart electric energy meter testing, in particular to a software black-box test system and method for an intelligent electric energy meter. Background technique [0002] Smart grids have been promoted and promoted in countries all over the world. As the terminals of smart grids, smart energy meters have also been promoted and applied in many countries. The smart energy meter is a key node in the field of electricity consumption in the construction of a smart grid. It is an important measuring instrument for the settlement of electricity energy trade between power generation companies and power supply companies, power supply companies and electricity customers. It can not only indirectly guide users to use electricity safely and rationally through functions such as electricity price and load control, but also collect and analyze relevant electricity consumption information and records of smart energy meter...

AI Technical Summary

Problems solved by technology

And generally manual testing is the main method, the test efficiency is low, it is difficult to touch the deep defect points of the software, the coverage and depth of the test are not enough, and the quality of the smart energy meter software cannot be effectively controlled

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