Modeling method for health evaluation of embedded equipment

Abstract

The invention provides a modeling method for health evaluation of embedded equipment. The modeling method comprises the following steps of S1, representing the health state of the equipment by using an equipment health index, S2, layering the health parameters, S3, scripting particle health calculation of the particle layer, S4, configuring health parameters, S5, carrying out weight calculation, S6, analyzing health indexes, S7, health service architecture, and S8, performing parameter layering aiming at the intelligent fusion terminal. Through the technical scheme of the invention, the wide universality of the embedded equipment is effectively realized. The method is applied to the intelligent fusion terminal equipment of the power distribution network to reflect the dynamic change process of the health state in the device, and health indexes are calculated layer by layer from bottom to top progressively. A set of scientific and reasonable health evaluation system aiming at the health of the intelligent fusion terminal equipment and a complete solution for health evaluation of the intelligent fusion terminal of the electric power Internet of Things are provided.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a modeling method for health evaluation of embedded equipment. Background technique [0002] Our electric power companies generally adopt a system of regular and regular maintenance. The maintenance mode is single, poorly targeted, and difficult to maintain. The reliability level depends on the quality of personal maintenance, and there are relatively few status points for maintenance. Therefore, it affects the safe, stable and efficient operation of the power grid. That is to say, for the general health status inspection of equipment, most of them stay in manual inspection, generate reports, etc., to record the health status of equipment, and most of them are difficult to realize automatic health status calculation and alarm during operation. [0003] For devices that can perform self-inspection during operation, due to the diversity of device self-inspection points, th...

AI Technical Summary

Problems solved by technology

However, the customization of the program can only realize the health check of a certain type of equipment;

[0007] 3. There is no complete set of technical solutions related to equipment health in the power Internet of Things

But the disadvantage is that the program parameters must be customized for different devices to realize the calculation of health

[0013] The technical solution of point inspection, due to manual verification of the status of each point of the equipment, has high cost and low efficiency, and cannot automatically detect the problems existing in the equipment in time, nor can it effectively and accurately reflect the health interval value of the equipment

[0014] The technical solution for the evaluation and modeling of power equipment health status is only for specific types of healthy equipment. The disadvantage is that the customized program is high and cannot be reused. The health architecture is bound to parameters and health index calculations without decoupling.

When the health parameters of the equipment increase, the health program needs to be modified in real time, which affects the development and use efficiency

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