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#Kepserverex 5.2 download upgrade#
Finally, the interactive operation and core technologies of DTD_PQ towards traceability and dynamic control of processing quality are analyzed. Upgrading from Version 5 to Version 6 This scenario is applicable for users running an unlicensed version of KEPServerEX V5 and want to upgrade to KEPServerEX V6. The conceptual model of the digital twin database and the operating logic for dynamic control of processing quality are described in detail. Then, the digital twin-driven dynamic control method of processing quality is proposed.
The contents of digital twin data for processing quality constraints (DTD_PQ) and the management method are elaborated. Moreover, the construction method of the IoT system in manufacturing unit for dynamic control of processing quality are introduced, in which the collection method of real-time data is discussed. Secondly, in order to integrate multi-source heterogeneous data to trace the processing quality, a multi-level scalable information model and association mechanism are established. Firstly, a Bayesian network model for the analysis of factors affecting processing quality (BN_PQ) is introduced, which determines the relevance and influence weight of each factor to processing quality. Therefore, a digital twin-driven approach towards traceability and dynamic control for processing quality is proposed in the paper.
Aiming at the low efficiency of quality problems traceability, poor timeliness and unpredictability of quality control in the machining process, digital twin technology can provide a new intelligent solution based on interaction and integration between physical workshop and virtual workshop. Processing quality is the basis for ensuring product quality, and reflects the development needs and application value of realizing intelligent manufacturing.