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Title: Proxy Meter Sensor: The Wise Eye of the Process Industry In modern industrial production, the precise measurement and control of various parameters are crucial for ensuring efficient operations. The proxy meter sensor is a key tool in this area. It compensates for missing data by approximating unknown parameters using a mathematical model based on process knowledge and online meters. This article will explore the working principle, applications, and importance of proxy meter sensors. The basic principle of the proxy meter sensor is to use a mathematical model to estimate the values of parameters that cannot be directly measured or have failed measuring equipment. The core concept is to use available real-time data and known information about the system to reconstruct or infer the required parameter data. This approach not only improves data accuracy but also enhances the robustness of the system in case of partial sensor failures. The design of the proxy meter sensor typically includes three main steps: collecting all possible data related to the target parameter, selecting an appropriate mathematical model for the target parameter, and using the collected data to estimate the value of this parameter through the model. For example, in a chemical production line, if the flow sensor fails, the proxy meter sensor can use other parameters such as pressure and temperature, combined with the mathematical model, to estimate the flow rate. In practice, proxy meter sensors have been widely used in many industries. In the power industry, when some temperature sensors in a thermal power plant fail, the proxy meter sensor can infer the lost temperature values using other operating parameters; in oil refining, it helps monitor key quality indicators when direct detection is unfeasible. The application of proxy meter sensors brings significant economic benefits to enterprises. Firstly, it can reduce maintenance costs by minimizing the need for urgent repairs of sensors. Secondly, it improves product quality and consistency by providing more accurate process control. Lastly, it enhances system safety by enabling continuous monitoring and timely adjustments during emergencies. However, there are also challenges in the implementation of proxy meter sensors. Model selection and parameter adjustment require professional knowledge and rich experience from operators; external disturbances may affect the accuracy of estimations. Therefore, ongoing technological research and optimization are needed to address these issues. The introduction of proxy meter sensors has undoubtedly provided strong technical support for the digitalization and intelligent transformation of traditional industries. As technology advances and application deepens, proxy meter sensors will play an increasingly important role in future industrial fields.
