Research on Control Algorithm Theory and Visual Recognition Algorithm of Network Devices
Lingyun Zhang · 2023
Our society’s production and living practices have undergone a significant change as a result of the quick advancement of computer science and technology and their ever-expanding uses. Algorithms for network graph computation have emerged as a key resource for handling the increasing volume of web data. This is especially important when dealing with large amounts of network data, including data from social media, the Internet and the Internet of Things. By combining the theory of control algorithms with network graph computation algorithms, it provides a strong support for building smarter and more efficient automated systems as well as more reliable network infrastructures. The main content of this paper will focus on the control algorithm theory and network graph computing algorithm to briefly explain and analyze, and based on artificial intelligence algorithms for visual identification of network equipment in computer labs, mainly for computer lab operation and maintenance situation for supervision and equipment identification. When the laboratory equipment terminal fails, the server side of the system can obtain the current operating condition of the equipment terminal, collect the interface image information of the current equipment terminal through the server-side data acquisition system, carry out intelligent identification of the acquired data information. The paper will also delve into the analysis and processing of identification results. It will detail how these results can be effectively processed and interpreted. Additionally, it will discuss methods of analyzing the results and potential solutions to market to end users. Ultimately, the paper aims to provide users with reasonable and feasible solutions to equipment anomalies. The recognition algorithm has high timeliness and short response time, which basically meets the daily operation and maintenance needs of the laboratory, and provides solutions to the user’s problem solving, aiming to provide valuable contributions to the academic and practical application fields.