Development of equipment production information monitoring system based on electric current signal

Traditional machining equipment typically does not provide online production information such as part production quantities, efficiency and abnormal operating conditions. In order to solve this problem, a real-time production information monitoring system for traditional machining equipment based on electric current signal has been development. Firstly, the data acquisition hardware system using current sensors is designed to collect the electric current signal of the equipment being monitored. Next, the current data is processed by calibration algorithm to obtain production process feature vectors. Finally, a feature matching algorithm is used to identify the operating status. Based on the above algorithms, a monitoring software system is realized by C++ programming language on Qt platform. The monitoring experiment was carried out with automobile transmission shaft parts. The experimental results show that the machining start time and end time of each machined part are correctly and timely identified, and the abnormal state of the equipment could be accurately identified. The developed system is suitable for real-time monitoring of the traditional machining equipment.