Optimization method and system for APS start control system of gas unit

The embodiment of the invention provides an optimization method and system for a gas turbine unit APS start control system, and the method comprises the steps: coding and outputting system fault feature sets under different system simulation test strategies as fault knowledge representation variables of the same feature knowledge network; setting strategy operation nodes of fault knowledge representation variables for each system simulation test strategy, fusing the fault knowledge representation variables of the same feature knowledge network according to the strategy operation nodes, generating fused fault knowledge representation variables, and performing fault classification on the fused fault knowledge representation variables; therefore, the gas unit APS starting control system is optimized. Compared with a single system simulation test strategy, the method has the advantages that the test feedback data under different system simulation test strategies are converted into the same feature knowledge netwo