Research On Intelligent Area Control System Based On Iot Multi-sensor Data Fusion Technology

The traditional regional environmental monitoring scheme has many limitations,and the environmental state monitoring based on the Internet of Things technology can largely break through the limitations of traditional environmental monitoring methods in terms of time,space and monitoring content.At the same time,multi-sensing area environmental monitoring based on the Internet of Things will also provide massive monitoring data.How to better integrate and analyze these data is an urgent problem to be solved.The paper designs a set of intelligent area control system based on IoT multisensor data fusion technology.The system integrates collection,transmission,processing,fusion analysis,abnormal monitoring,data storage and switch control of various environmental parameters,can achieve the monitoring and control of the environmental status of the target monitoring area,and environmental status of comprehensive evaluation data results is given support,paper for the study of regional environmental monitoring and control system has important academic value and engineering application.The paper has important academic research value and engineering application significance for the research of the regional environmental monitoring system.Firstly,the paper introduces the basic theory based on Internet of Things technology and multi-sensor data fusion algorithm,and analyzes the advantages and feasibility of intelligent area monitoring system based on IoT multi-sensor data fusion technology in environmental monitoring.Then it designs the intelligent area control system.The overall structure,the hardware part of the system: the intelligent area control unit and sensor node circuit,and the workflow of the system are designed;And then,the ZigBee protocol is selected as the wireless communication protocol of the system,and the performance requirements and selection of the chip are respectively determined for the system function,the chip hardware architecture and software flow of the configuration circuit are designed in detail.Then,based on the multi-source of the system environment collected data,the two-layer data fusion structure model of the system is designed.The weighted least squares method and the fuzzy comprehensive evaluation method are used respectively.The data collected by the sensor nodes was merged.Finally,the test platform was built to test the overall performance and function modules of the system.The test results show that the system can realize the timing acquisition and perception,real-time processing and display,abnormal status alert,periodic data fusion analysis and effective control of 220 V relay switch for multiple environmental parameters in the region,including temperature,humidity,carbon dioxide,volatile organic matter,light intensity and human body infrared.In the data fusion analysis module,the measurement variance of the data fusion of similar sensors is about 1/1000 of the arithmetic average method,and the output of the heterogeneous sensors data fusion result contains the monitored area under the national standard of the working area environmental condition good degree evaluation grades of membership degree,gives the data support regional condition assessment results,compared with the single parameter condition assessment,based on multi-sensor data fusion area state assessment more reliable and efficient.The intelligent area control system based on IoT multi-sensor data fusion technology in this paper realizes the collection and perception of multiple environmental parameters in the region,and realizes the stable and reliable evaluation of the regional state through multi-sensor data fusion.The system has strong generality,high academic research and engineering application value for applying Internet of Things technology to regional environmental condition monitoring.