Research And Development Of New Turbine Industrial Flowmeter With Internet Of Things Function

With the rapid development of intelligent manufacturing,the industry has put forward higher requirements for flow monitoring.Turbine flowmeter,as a sensor widely used in the field of flow monitoring,its traditional induction coil is easy to be affected by electromagnetic interference,and its accuracy is not high.At present,the intelligence of flowmeter is low,and the communication interface is single.In response to the above problems,this topic combines wireless sensor technology and nonlinear correction technology to develop a new turbine industrial flowmeter with Internet of Things function.The major work is following:(1)The new TMR and AMR sensors are used to detect the changing magnetic field instead of the induction coil.The signal conditioning circuits such as differential amplification,square wave conversion and high-frequency filtering are designed.The output signal stability and anti-interference performance are improved by the modular circuit design;(2)In order to improve the intelligent level,the software function of the flowmeter microprocessor is developed,the flow measurement algorithm is optimized,and the gross error of measurement is eliminated by Grubbs method.The functions of automatic calibration and calibration are designed to realize the flexible configuration and accurate perception;(3)The general wired/wireless communication interface is developed,and the Internet of things architecture of turbine flowmeter is constructed by combining wireless ZigBee technology.The automatic identification and networking from flowmeter node to coordinator gateway are realized,which facilitates the rapid deployment of a large number of flow equipment;(4)In view of the non-linear characteristics and temperature drift influence of the existing turbine flowmeter sensors,a nonlinear correction algorithm based on neural network is designed and the network is trained offline and online to realize the nonlinear correction and temperature compensation of sensors and ensure the accurate measurement in the full range.The functional test verification shows that the flowmeter can be measured by calibrating the flowmeter,and the data is transmitted from the node to the gateway,and then uploaded to the remote server to meet the needs of industrial use.The nonlinear correction algorithm based on ANN can improve the nonlinear error and temperature effect and improve the measurement accuracy.It can be applied to the compensation calibration of other sensors.