Research On Remote Measurement And Control Technology Of Hydrological Testing Platform Based On Internet Of Things

With the rapid development of 5G technology and the Internet of Things technology,the application of the Internet of Things technology to the process of hydrological flow measurement and the realization of remote hydrological flow measurement is the trend of modern development of hydrological flow measurement.Remote hydrological flow measurement can realize cross-regional and cross-platform flow measurement.This has revolutionary significance for the development of hydrological surveying.Based on the analysis of the functions and overall structure of the existing automated hydrological test platform,the structure of the hydrological remote flow measurement system based on the Internet of Things is designed.Based on the flow measurement software of the automatic hydrological test platform,a hydrological remote flow measurement software system has been developed.The software mainly includes four parts: flow measurement software,control software,radar flow measurement software,and SQLSEVER database.The remote data transmission medium between the flow measurement software and the control software uses the Alibaba Cloud Internet of Things platform.The communication protocol for remote data transmission uses the MQTT protocol.The software design of the entire remote hydrological testing platform measurement and control system software structure is clear,and the effect of fitting with the hardware structure is good.Compared with the previous on-site control system,the biggest feature of the remote hydrological test platform measurement and control system is the introduction of the influence of network delay on the control effect of the system.By analyzing the characteristics of network delay of the remote hydrological test platform measurement and control system,the article decomposes the actual network delay of the system into fixed regular delay,irregular hour delay and large delay.For different types of network delays,a targeted processing method is adopted,that is,PID control algorithms are used to suppress the influence of fixed regular network delays on the control effect of the control system,and wavelet neural network-PID control algorithm is used for hour delays and low frequency fluctuations.Perform fitting.For the network delay with large delay and high fluctuation frequency,Kalman filter is first applied to it,and the network delay after filtering is fitted with wavelet neural network-PID algorithm.For the measurement and control system of the remote hydrological test platform,the wavelet neural network algorithm can overcome the shortcomings of the slow convergence speed of the BP neural network algorithm and the fuzzy rules of the fuzzy PID control algorithm.Through simulation analysis,the wavelet neural network-PID algorithm has the best effect on the network delay suppression of the remote hydrological test platform measurement and control system.It is aimed at the problem that the remote measurement and control system may cause the platform to touch the water due to untimely control,as well as the data security problem during the transmission of hydrological data and instructions via the Internet.The remote hydrological test platform measurement and control system uses a hash algorithm to mix the hydrological data with the device key.Without the device key,the hydrological data cannot be decrypted,ensuring the security of data transmission.Through the research on the MQTT protocol center hopping mechanism,the dichotomy method is used to select the appropriate heartbeat packet time to ensure the normal communication between the hydrological test platform and the Alibaba Cloud Internet of Things platform.At present,the remote measurement and control system of the hydrological test platform has been applied to Wubao and Fugu hydrological stations.During the field test at Fugu and Wubao hydrological stations,the remote flow measurement system performed stably.In the process of remote flow measurement,the remote flow measurement system can complete the normal hydrological test task requirements.