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At present, the detection technology of network fault breakpoint detection in the program control switch of the campus network is low, the false alarm rate is high, and the accurate location of the fault breakpoint area can not be realized, and a network fault breakpoint detection technology based on the node reputation perception model is proposed. According to the network hierarchy layout of the campus network, the credit perception model between nodes is built to extract the feature information of the node fault region, and the perceived reputation data is preprocessed based on the wavelet algorithm. In order to improve the stability of the algorithm, the health degree of the adjacent nodes is analyzed, so as to achieve the accurate location and detection of the breakpoints of the network program control switches in the campus network. The simulation data show that the proposed breakpoint fault detection technology still achieves 86.32% detection rate under the condition that the node sense failure rate is 0.6.