基于GIS的机群智能化施工监控系统的研究与实现
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摘要
本文取材于国家“863”计划重大专项“机群智能化工程机械”项目。机群的协调工作很大程度上影响到整个工程的进度和质量,而我国在道路建设和管理方法上比较落后,传统施工方式中,施工机械的配置具有一定的随意性,单机之间又几乎相互独立。为了保证施工质量和进度,提高机群的动态管理水平,迫切需要寻找方法以实现机群的优化配置和合理调度,从而提高施工质量,降低施工成本。 
    设计的智能化监控系统较好地解决了传统的单机作业的许多弊端,具有较先进水平的机群施工管理前景。研究内容具体来说主要有: 
    1.使每台单机都能利用众多的传感器和GPS 定位设备根据需要采集自身的位置信息或状态参数,这种自身智能化的单机工作为机群智能化建立了基础; 
    2.确定系统的通信方案,应用了先进的GSM 全球移动通信技术、数传电台通讯技术以及计算机无线网络通信,实现机群各单机之间以及与监控中心之间的双向通信; 
    3.通过对系统以及相关技术的分析研究,选用合适的GPS 定位设备以及相应的硬件配置并正确装备,以满足系统要求。在硬件基础上用VB 编制机群智能化施工监控系统程序, 结合数据库技术和GIS 技术实现对机群的实时可视化监视和及时调度,并可方便地调出各机械设备的实时参数; 
    本文提出的基于GIS 的机群监控系统及其程序设计已经完成,并在实践中得到了验证。
This article is based on National High Technology Foundation of China, “Intelligent Machinery Group for Asphalt Paving Construction”. As we know, the cooperation of all kinds of machinery is so important that can affect the efficiency and quality of paving. But the management of road construction lags behind relatively in our country, and the arrangement of the machines is not very reasonable. There is rare relation between machines. So it becomes very urgent to find a way to promote the road quality and cut down the construction cost accordingly.
    The paper designs a monitoring system, which can resolve the problems well. The design includes the following steps:
    1. Equip each machine with electrical sensors or GPS equipments to make them intelligent. Without intelligent machine, without the intelligent machinery group.
    2. The system applies several advanced communication technology like: global system for mobile communication (GSM), the Wireless Local Area Network (WLAN) and the digital radio station technology to communication each other or between machinery group and monitoring center.
    3. According the requirement of the actual conditions, the system applies the suitable GPS equipment and other hardware. Then design the monitoring system in VB language combining with the GIS and database technology. The system can get the position and other parameter of the machines at any moment. Therefore it can make dynamic organization and intelligent management remotely.
    This monitoring system based on GIS has been accomplished. And the system has been verified during the using course.
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