面向工业互联网平台的制造服务可信特征识别方法

Whether manufacturing services are trusted or not is a key issue in the application of Product Service System(PSS). The rapid application and deployment of Industrial Internet Platform(IIP)provides platform support for the trusted access of manufacturing services. The difference and connection between the traditional networked manufacturing platform and the manufacturing service trusted features under the industrial Internet platform were analyzed. Around the three aspects of manufacturing services mapping fidelity, service reputation and collaboration status, the comprehensive trusted feature index system of manufacturing services was presented, the trusted features of manufacturing services recognition framework and its key technologies under industrial Internet platform were proposed, and a classification method for trusted features of manufacturing services based on denoising autoencoder was designed. A case of intelligent logistics was used to verify the effectiveness and superiority of the proposed method.