Research And Design Of Toxic And Harmful Gas Monitoring And Early Warning System Based On OneNet

According to the integrated development needs,chemical industrial parks have relatively concentrated enterprises,dense personnel,large factory areas,and a wide variety of volatile gases.Fire,explosion,poisoning and other safety accidents and environmental damage such as ozone pollution are caused by the emission of volatile toxic and harmful gases in the chemical industry park.It is a key problem restricting the park’s green development and safe production.Therefore,the inevitable choice for the current and future development of chemical companies is to strengthen the construction of gas monitoring systems and improve the ability to prevent and control accidents such as gas leakage and fire explosions.At present,a large number of monitoring and testing methods are used to monitor the chemical industry park.However,the technological process in the chemical park is complicated,there is a lot of equipment,and there is a lack of awareness of a large amount of monitoring and testing data.The disadvantages of the gas monitoring system are becoming more and more prominent.With the rapid development of embedded technology,wireless communication technology and Internet of Things technology,The gas monitoring system is gradually transforming from traditional manual operation to digital,intelligent and informationalization.Aiming at the problems existing in the toxic and harmful gas monitoring system,the toxic and harmful gas monitoring system is researched and designed by this paper.Its main research content is as follows.(1)Aiming at the problems of short communication distance and high power consumption in traditional gas monitoring systems,this paper proposes a gas detection method based on LoRa wireless communication technology.The toxic and hazardous gas detector and controller are designed in terms of software and hardware.Low-power and long-range wireless transmission are achieved by using LoRa wireless communication technology for data transmission.(2)To solve the problem of the low recognition rate of mixed gases and consider the phenomenon of low prediction accuracy when traditional gas-concentration-prediction methods deal with nonlinear data,this paper proposes a mixed-gas identification and gas-concentration-prediction method based on a support vector machine(SVM)optimized by a sparrow search algorithm(SSA).Principal component analysis(PCA)is applied to perform data dimensionality reduction on the input data,and SSA is adopted to optimize the SVM hyperparameters to improve the recognition rate and gas-concentration-prediction accuracy of mixed gases.(3)To address the insufficient intelligence and informatization of traditional gas monitoring systems,a toxic and hazardous gas monitoring and early warning cloud platform are designed in conjunction with the OneNet Internet of Things cloud platform.On the basis of achieving remote real-time monitoring,functions such as toxic and hazardous gas data visualization,data analysis and processing,and remote control are implemented.