ISSN:1000-8365 CN:61-1134/TG
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Design and Development of Die Casting Mold Monitoring System Based on Raspberry Pie and Machine Vision
Author of the article:LIU Shupeng1, XUE Bin1, XU Zhongbin1,2, ZHOU Xiangyu3, HUO Qingwen3
Author's Workplace:1. School of Energy Engineering, Zhejiang University, Hangzhou 310027, China; 2. Ningbo Research Institute, Zhejiang University, Ningbo 315100, China; 3. Ningbo Daxie Development Zone Tianzheng Mould Co., Ltd., Ningbo 315000, China
Key Words:mold monitoring; embedded vision; Web front end development
Abstract:

A die casting die monitoring system based on Raspberry Pie and Machine Vision was developed based on the actual running status monitoring of die casting mould. The results show that the system can monitor the changes of temperature, pressure and lubrication parameters during the die casting process in real time. The film cavity surface image of die casting mold collected by industrial camera is processed by intelligent algorithm to judge the residue distribution in the film cavity. The visual integration of the monitoring system is in the Web end, and the status information of the die casting mold can be checked in real time by logging in the system remotely. The implementation and deployment process of the system is simple, and the labor cost is effectively reduced, which provides beneficial reference for the intelligent production process of die casting mold.