Research And Design On Temperature And Humidity Monitoring System Based On ZigBee Wireless Sensor Network

The intelligent plant is the product of the combination of computer informationtechnology and automation technology. On one hand, it is reflected in the automation andintelligence of the production and working. On the other hand, it is also reflected in theintelligent monitor and control on the environment of factory, such as power supply, lightingand air conditioning and so on. The intelligent plant has played an increasingly importantrole in Protecting Security of highly standardized and precise products which are in R&D,production and storage sectors.With the rapid development of MEMS, SOC, wireless communications and low-powerembedded technology, wireless sensor network technology has low cost, distributed andself-organizing features, which has demonstrated value and good market prospects. In thecondition of ZigBee and other communication technology rapid development, the wirelesssensor network technology is provided strong support.Firstly, the basic theoretical knowledge of wireless sensor networks and ZigBeetechnology are studied, and then advantages and disadvantages of traditional wiredtemperature and humidity monitoring system are discussed. So the wireless monitoringsystem based on ZigBee wireless sensor network is proposed. The chip of CC2530is thecore of the proposed system. Network hardware and soft platform are built. Temperatureand humidity information can be collected by the ZigBee network. In the design of controlsystem, S3C2410as the control core chip is attached to storage module, human-computerinteraction and implementing agencies. At last, the strategy of control in the system isstudied. A fuzzy single neuron PID controller which can make adjustment of the threeparameters is proposed for the non-line, slow time-vary system. The controller combinedfuzzy control and single neuron network. The Matlab simulation results prove that improvedcontrol algorithm has strong adaptability and robustness compared with traditional PIDalgorithm and neuron adaptive PID control algorithm. The improved algorithm enhances theusefulness of monitoring system which has an important practical significance totemperature and humidity management.