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基于物联网的智能环境污染检测与控制系统研究
引用本文:吴琼,刁振军. 基于物联网的智能环境污染检测与控制系统研究[J]. 环境科学与管理, 2018, 0(5): 102-105
作者姓名:吴琼  刁振军
作者单位:西安工业大学,陕西 西安,710021
基金项目:西安工业大学计算机学院工程实验室基金项目;编号(GSYSJ2016010),西安工业大学校长基金项目;编号(XAGDXJJ15016)
摘    要:为了实行对环境污染的远程智能检测,提出基于物联网技术的智能环境污染检测与控制系统设计方法,采用无线传感组网技术进行智能环境污染检测系统物联网设计,实现对环境污染信息采样,采集的环境污染数据主要有水污染数据、土壤污染数据和大气污染数据等。将数据输入的集成控制单元中,通过上位机进行远程传输控制,采用TMS320VC5409A智能处理DSP芯片作为集成控制芯片进行控制系统硬件设计,环境污染检测与控制系统硬件模块分为物联网传感模块、AD模块、上位机通信模块和数据输出接口模块等。在嵌入式Linux内核中实现环境污染检测程序加载,实现污染检测和优化控制。测试结果表明,采用该方法进行环境污染检测与控制的智能性较好,准确度较高,实时性较好,总体性能较优。

关 键 词:物联网  环境污染检测  控制系统  Internet of things  environmental pollution detection  control system

Intelligent Environment Pollution Detection and Control System Based on Internet of Things
Wu Qiong,Diao Zhenjun. Intelligent Environment Pollution Detection and Control System Based on Internet of Things[J]. Environmental Science and Management, 2018, 0(5): 102-105
Authors:Wu Qiong  Diao Zhenjun
Abstract:In order to implement remote monitoring of environmental pollution, the technology of IOT intelligent environmen-tal pollution detection and control system design method based on the wireless sensor network technology detection system of intel-ligent network design of environmental pollution, to achieve sampling of environmental pollution, environmental pollution data col-lection are the main data of water pollution, soil pollution data and the air pollution data. Integrated control unit inputs data in re-mote transmission control by computer, using TMS320VC5409A intelligent processing chip DSP as the integrated control chip of the hardware design of the control system, environmental pollution detection and control system hardware is divided into network sensing module, AD module, communication module and data output interface module. To achieve detection program loading en-vironmental pollution in the embedded Linux kernel, to achieve pollution detection and optimization. The test results show that this method has better intelligence, higher accuracy, better real-time performance and better overall performance in environmen-tal pollution detection and control.
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