Behavior model restoration method for data-based industrial software system

Abstract

The invention discloses a behavior model restoration method for a data-based industrial software system, which belongs to the field of industrial software, and comprises the following steps of: obtaining operation feedback data; analyzing and classifying the data, and extracting and constructing an upper-layer system model with correlation; verifying whether the generated system model is accurate;summarizing the corresponding original data forming the system module, and generating the output of the system; verifying whether a system with correlation exists or not; and integrating the existingsubsystem models to generate an integral system model. Based on existing industrial control software operation feedback data, an industrial system software model can be rapidly, accurately and completely constructed. The state space of the finite-state machine model of the whole software system is reduced, and the process of reversely constructing the finite-state machine of the system by data issimplified. The method is high in universality, can be widely applied to industrial system modeling, and can be quickly converted into an industrial system control code in combination with a basic unit code driving function block packaging technology.

Description

technical field [0001] The invention relates to the field of industrial software, in particular to a data-based method for restoring a behavior model of an industrial software system. Background technique [0002] The existing industrial control system has a huge system, which is composed of a combination of multiple components and modules, and has a complex structure, especially the system of its software system is more complicated. In the absence of source code, the original system cannot be improved and upgraded, software modules cannot be reused, and system maintenance is difficult. Moreover, the construction of the existing industrial control system model usually requires a preliminary analysis of the functional requirements, writes the required function documents, and continuously supplements and corrects the initial imperfect requirements documents during the system development process. The process that the system meets the requirements is a positive industrial contr...

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Problems solved by technology

[0004] 1) In the absence of source code, the industrial control system software cannot continue to be maintained;

[0005] 2) There is a lack of a general method for automatic modularization of industrial software system models;

[0006] 3) The positive system development process consumes a lot of time and labor costs, and it is difficult to meet the current needs for rapid updates and changes in industrial control systems

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