Real-time measurement and control system based on automation technology under the background of network environment

Abstract

Abstract The application of automation technology realizes the transformation of people’s production and life-style, and also promotes the transformation of the system form of the network environment. The application of automation in the current network industry is increasing, especially the use of advanced methods and technologies for automatic control. The purpose of this paper is to realize the research on the network measurement and control system in the field of automation technology to promote the ecological development of the network automation process. This paper proposes the use of neural network technology in automation technology to guide the construction of computer network measurement and control systems, which is helpful to analyze and solve the objective problems of system imbalance and improper command output in system automation. The automatic network control system is constructed and optimized by referring to the principles and laws of the neural networks, and the automation of the measurement and control system in the network field is realized. In the test of the system, the results show that when the experimental parameter setting is the input flow value of the flowmeter 2.05 sccm, the output frequency of the inverter in the system jumps between 25 and 40 Hz respectively. The specific parameters of the experiment set the output frequency of the inverter to 50 Hz, and the input flow value of the flowmeter jumps between 2.05 sccm and 4.00 sccm. Therefore, analyzing the measurement and control system of network automation is undoubtedly crucial to the current road in the field of network automation.