The Design And Implementation Of Embeddedprocessors Based Intelligent Environmental Monitoring System

With the continuous development of human society, Advances in science and technology, Awareness of environmental monitoring of the increasingly high demands. From the earliest site relies entirely on artificial real-time survey, Later through the MCU semi-automated control, Then gradually formed the current sensor-SCM-Embedded integrated processing platform-background data server-a remote control terminal so a full range of integrated intelligent multi-level environmental monitoring system. Environmental monitoring is gradually toward highly intelligent, automated, network-oriented direction.Given the current environmental monitoring actual demand, This paper aims to design and implement a complete smart-based environmental monitoring system embedded processor hardware platform. Data acquisition unit from the front end to the core embedded processing platform, to back-end database server, and the remote control terminal, are included in the design goals. The entire system to the central embedded processor hardware platform for integrated control center, Core hardware platform using high-performance embedded processors, Powerful multi-user multi-tasking operating system-Linux operating system, This platform has a powerful data processing capabilities, And a rich peripheral interface devices. This requires both the platform and the front-end data acquisition computer interaction data, and data needs to be stored in the back-end database server. Front-end data acquisition machine uses51series microcontroller, Various types of sensors embedded in the microcontroller, For real-time field data collection, And through wireless transmission way to pass data to the core embedded processor hardware platform, All data is processed by the specific needs of unified embedded processing platform, And sends the results of the original data collected and processed by the database server to the background, To backup data collection and real-time data processing to the results obtained, Back-end database servers from the data stored in the embedded processing platform readily available for inquiries, To enable users to understand the current data of the entire intelligent environmental monitoring system.