Non-intrusive equipment health management algorithm library construction method

Abstract

The invention provides a non-intrusive equipment health management algorithm library construction method. The non-intrusive equipment health management algorithm library construction method comprises the following steps: constructing a micro-service platform of a Python WEB architecture; building a container platform, deploying a plurality of independent docker containers in the container platform, and deploying an operation environment of the algorithm model in the docker containers; building an algorithm library, wherein the algorithm library is used for storing an algorithm model; establishing a template engine, wherein the template engine instantiates the algorithm model, verifies the validity of the algorithm model and stores the algorithm model in an algorithm library; and establishing a running engine, wherein the running engine independently runs the algorithm model in the running environment and calls the algorithm model at any time. According to the method, the algorithm model is stored in the algorithm library in a database management mode, the algorithm model is dynamically fused into the operation environment through the template engine and the operation engine, any bottom layer code does not need to be changed, real non-intrusive algorithm library construction is achieved, and the construction efficiency is improved. The problem of fusing different algorithm models into an equipment health management service platform is solved.

Description

technical field [0001] The invention belongs to the technical field of equipment health management, and more specifically relates to a method for constructing a non-invasive equipment health management algorithm library. Background technique [0002] The equipment health management algorithm model is the core technology to realize complex equipment PHM (failure prediction and health management). need. At present, there are already many cases in the industry for the construction of health management algorithm models for equipment, most of which are of a scientific nature and focus more on the realization of the algorithm, but actually encounter many problems in use when the project is implemented. The most critical difficulty in implementation is that there are various algorithm models, and the interface types have certain differences. It is difficult to integrate different algorithms into the same platform to form a specific health management scenario. Hard coding, which s...

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Problems solved by technology

The most critical difficulty in implementation is that there are various algorithm models, and the interface types have certain differences. It is difficult to integrate different algorithms into the same platform to form a specific health management scenario. Hard writing, which seriously hinders the scalability and maintainability of the platform, and the lack of growth of the platform will seriously affect the engineering transformation of research results

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