Data simulation method for power station industrial control safety target range

Abstract

A data simulation method for a power station industrial control safety target range comprises the following steps: determining an operation set and a simulation state parameter set according to a target range configuration equipment range, extracting historical data, finding out historical records of single operations in the operation set, generating an operation influence item set by the single operation and the influence result of the single operation on the state parameters according to a load interval section, and calculating a frequent operation item set corresponding to the single operation according to the minimum support degree by adopting an association rule algorithm in data mining on the operation influence item set, calculating association rules and confidence degrees of single operations and influence results for the frequent operation item set, and obtaining strong association rules according to the minimum confidence degree; and calculating simulation data after execution of the single operation according to the initial data of the target range, the corresponding load interval and the strong association rule. According to the method, the requirement of the power station industrial control safety target range for local simulation of the industrial control system can be met, the incidence relation is mined based on real historical data, and high-fidelity simulation of state parameter data is achieved.

Description

technical field [0001] The invention relates to the technical field of industrial control simulation, in particular to a data simulation method for a power station industrial control safety shooting range. Background technique [0002] In order to study the network security issues of industrial control systems in depth, power companies have built industrial control security shooting ranges in the power industry to conduct offensive and defensive drills, security event analysis and technical verification. However, considering factors such as cost and site constraints, it is not necessary to build a complete industrial control system. It is only necessary to retain the network structure characteristics of the industrial control system and security features such as industrial control equipment, operating systems, and protocols, and properly tailor the real power station industrial control system. Install or install a very small number of equipment and sensor measuring points on...

AI Technical Summary

Problems solved by technology

However, considering factors such as cost and site constraints, it is not necessary to build a complete industrial control system. It is only necessary to retain the network structure characteristics of the industrial control system and security features such as industrial control equipment, operating systems, and protocols, and properly tailor the real power station industrial control system. Install or install a very small number of equipment and sensor measuring points on the field equipment layer, so it is impossible to collect field state parameter data through AI, DI and other cards. After the production adjustment operation, the change of state parameter data can only be calculated by the simulation system. , and then use modbus and other methods to send data to industrial control equipment to realize the simulation of part of the production control process

[0003]Most of the builders of shooting ranges belong to safety manufacturers. They are not familiar with the physical equipment of power stations. It is necessary to build physical models for different equipment. The workload is heavy and the applicability is poor, such as thermal power It cannot be applied to wind power, hydropower models, etc., and lacks a general data simulation method

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