Research On Intelligent Ecological Health Environment Monitoring System Of Internet Of Things

Indoor environmental pollution is often inadvertently affecting people’s lives,especially the current epidemic is still flooding,COVID-19 is still raging,indoor air quality and safety can not be underestimated.In recent years,various Internet of things technologies continue to grow and develop,and all kinds of smart home products also quietly emerge,indoor environmental monitoring system emerged in this environment.Single environmental monitoring instruments are the most common,in the aspect of combined with intelligent house and automatic control are slightly insufficient,and it still needs to be corrected and controlled manually,when the environment is not up to standard or a dangerous situation occurs.At the same time,smart home products at the present stage are mainly optimized in wechat small programs,APP clients and other aspects,so there is no system formed between the products,gateway protocols are not compatible with each other,interconnection cannot be achieved,and resulting in poor operability.Aiming at the above problems,an intelligent ecological health environment monitoring system is designed and developed,which adopts sensor perception,internet of things communication,embedded technology,intelligent control technologies and so on,the indoor environment monitoring,identification,alarm,data processing,intelligent control equipment and other functions are realized.Firstly,from the whole point of view,the whole model of the health system is constructed,and the hardware and software are studied respectively.The hardware part is composed of a controller and nodes.The controller is responsible for sensing and collecting environmental signals and analyzing and processing data,and the nodes are responsible for controlling equipment.The server management software of the software part is integrated in the controller,which realizes various functions by using friendly man-machine interface.Secondly,the communication protocol of the system is studied.The system uses MQTT communication protocol,including the serial communication protocol inside the controller and the communication between the controller and the terminal equipment,and based on this,the communication instruction set is designed,and an instruction priority setting method and optimal scheduling method are studied.Finally,a systematic adaptive control approach is investigated from the perspective of key technologies.First of all,the energy control optimization strategy is used to transform the energy control problem of measuring equipment into Markov process and solve it by dynamic programming algorithm.Next,PID control based on neural network takes three environmental parameters of temperature,humidity and negative oxygen ion as input to construct identification model,and determines the error of input results,constructs the transfer function to simulate the environment,and controls the parameters with PID to adjust the model change,so as to better adapt to different environments for adaptive adjustment.Through the research of the subject,the debugging of software and hardware,and the verification of the designed module,the research content of the subject is completed.A design method of intelligent environment monitoring system is explored,which provides a feasible scheme for future research.