Design And Implementation Of Embedded Multi-parameter Intelligent Evironment Monitoring Systems

With the development of society and technology, people's conscious of environmental protection has been improved and the environmental security has become the focus of attention. Environmental factors in daily life such as air, drinking water monitoring is essential for peoples'health. The environmental parameters of industrial production, transportation and storage also need to be monitored. In particular key some factors which have a direct impact on products, when appearing abnormal parameters, the real-time environmental monitoring system will alert and inform the relevant personnel to take necessary measures to avoid significant losses. Therefore, the real-time environmental monitoring has a strong practical significance.At present, the diversity and intelligence of environmental monitoring equipment has become a trend, while conventional physical single monitoring system is out of date. Therefore, it is of theoretical meaning and practical value to develop multi-parameter, intelligent, low cost environmental monitoring equipment. Under this background, embedded solution of intelligent environmental monitoring based on ARM and Linux operating system is proposed in this paper. Real-time supervision and transmission of complex physical signals together with muli-channel video are implemented in the system. Meanwhile, with the combination of physical signal filtering and moving object detecting algorithm, the system becomes intelligent, networking and systematic. The main work and achievement of this paper are as follows:Firstly, the hardware platform is designed based on requirement analysis of the embedded multi-parameter environmental monitoring system, it is constructed with ARM9 microprocessor and implements general modules of circuit such as USB interface, network interface, serial ports, and power supply. The U-BOOT, Linux kernel, file system has also been migrated to complete the whole software and hardware platform.Secondly, develop application which contains signal acquisition, display, alarm and transmission module. For physical signal, when abnormal signal is detected the system will give an alarm. The multi-channel video is transmitted to PC via network. Meanwhile the video is decoded and displayed on embedded platform and moving object will be detected to give intelligent alarm.Thirdly, proposed algorithm which combines moving average and limiting filter to address the issue of single parameter monitoring and eliminate the bias of physical signal processing. Experiment shows result shows the restored data from complex physical signal is closer to true environmental value. It makes the alarm of abnormal signal more stable and reliable.Fourthly, in occasion of multi-channel video monitoring, the proposed moving object algorithm combines inter-frame difference and background subtraction method to process large amount video data. It overcomes poor background adaptability, the interference of shadow and the shortcoming of existing hole in moving object detection.Finally, give summary to the study of this paper and proposed issures of further research and improvement.