Research And Implementation On Integrated Multifunctional Intelligent Liquid Level Gauge

As a relatively important parameter in industrial measurement,the liquid level value is needed in petroleum,chemical industry and many other fields.There are a variety of measurement methods for level measurement.The blowing level gauge based on the air blowing method is a non-contact level gauge.Since it does not come into contact with the measurement medium,but only with the air-blowing duct and the measurement medium,it can be widely used in complex and harsh environments such as high temperature and high corrosion,which brings good application prospects.However,the existing gas level gauge is low in intelligence and not highly integrated.Therefore,this article introduces a gas level gauge that is integrated,intelligent,easy to operate,and has a measurement accuracy that meets the actual application.Aiming at the shortcomings of the existing traditional gas-filled level gauges with large volume and low integration,this article mainly starts with the measurement principle and structure of the liquid-level gauges,analyzing the reasons that affect the accuracy of gas-filled level gauges,and shortcomings of the proposed solutions,combined with the study of the principle and structure of the gas mass flow controller,it puts forward a design scheme of applying the gas mass flow controller to the blown level gauge,which greatly reduced the overall volume of the level gauge and increased the degree of integration.At the same time,in order to solve the problem that the pressure sensor of the pressure transmitter module in the existing air-filled level gauge is susceptible to temperature and will cause large measurement errors,the existing temperature compensation model is studied in detail.What's more,a BP neural network temperature compensation model improved by the Whale Optimization Algorithm(WOA)was proposed according to the shortcoming of the solution.Verified by simulation,the model is theoretically feasible.Compared with the existing temperature compensation models,the temperature compensation model proposed in this paper is more accurate.Finally,this article introduces the implementation of the liquid level gauge based on the MSP430 microcontrolleras well as the circuit design and hardware implementation of the main modules in detail.Furthermore,the software and hardware implementation is done on each function required by the liquid level gauge.Meanwhile,the proposed BP neural network temperature compensation model,improved by whale optimization algorithm is solidified into a single chip computer.Through experimental testing and result analysis,it can be concluded that the temperature compensation model of the pressure transmitter based on WOA-BP proposed in this paper is feasible and effective The designed liquid level gauge meets the requirements of existing application scenarios,and the measurement accuracy is controlled within ±1%.