Construction of Automatic Measurement and Control Instrument Monitoring System Based on Neural Network Algorithm

With the rapid development of electronic technology, automated measurement and control instruments are also making continuous progress, and their functions have changed from simplification to diversification. This paper will focus on the application of neural network algorithm in intelligent vehicle system monitoring. This method can improve the accuracy and reliability of the neural network model and reduce the cost of data storage. In this paper, the artificial neuron library is constructed to simulate the function of the human brain nervous system and realize the control operation process. It has the characteristics of strong flexibility, easy to understand, convenient operation and maintenance, etc., and optimizes the monitoring environment of automatic measurement and control instruments to a great extent. After that, the performance test of the constructed monitoring system is carried out in this paper, and the test results show that the actual accuracy of the monitoring is 0.85, 0.87, 0.91, 0.89 and 0.88 respectively. This shows that the neural network model has a good ability of monitoring accuracy.