基于Web-GIS的多机协同作业远程监控平台设计
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北京市科技计划项目(D161100001416002)、国家重点研发计划项目(2017YFD0700400-2017YFD0700403)、国家国际科技合作专项(2015DFG12280)和国家自然科学基金项目(31571570)


Remote Monitoring Platform for Multi-machine Cooperation Based on Web-GIS
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    摘要:

    为了实现对多机协同导航作业的实时远程监控,设计了基于Web-GIS的多机协同作业远程监控平台。该平台主要包括数据收发、数据存储、数据查询、数据显示和数据分析模块。其中,数据收发模块采用Socket技术实时接收多机位置和航姿等作业信息,并可以向车载终端发送远程控制命令。数据存储模块负责将接收到的作业信息存储到相应的SQL Server数据表中。数据查询模块用于多机作业历史信息的查询,并以表格的形式将查询结果呈现在网页中。数据显示模块结合Web-GIS技术,通过与百度地图服务器进行实时交互,实现多机作业轨迹的可视化显示。数据分析模块实时分析处理多机位置和航姿信息,对各农机进行决策分析和任务调度,从而实现多机协同作业。试验结果表明:平台具有良好的稳定性,能够实时显示多机作业轨迹和作业信息,并可以实现多机任务调度,从而满足多机协同作业需求。

    Abstract:

    In order to realize the real-time remote monitoring of multi-machine cooperative navigation operation, a Web-GIS based remote monitoring platform was designed and developed for cooperative operation of multi-machine. The platform mainly includes data transceiver, data storage, data query, data display and data analysis module. The data transceiver module adopts Socket technology, is used to receive real-time multi-machine position and attitude information and other operations, and also can send remote control commands to the vehicle terminal. The data storage module is responsible for storing the received job information into the corresponding SQL Server data table. The data query module is used to query the history information of multi-machine operation, and to present the query result in the web. The data display module combines Web-GIS technology, and can realize real-time visualization of multi-machine operation track through real-time interaction with Baidu map server. The data analysis module can analyze and process the location and attitude information of multi-machine in real time, and make decision analysis and task scheduling for each machine. The experimental results show that the platform has good stability, it can display multi-machine operation track and job information in real-time, and can realize multi machine task scheduling. Therefore, it can meet the demand of multi machine cooperative operation.

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曹如月,李世超,魏爽,季宇寒,张漫,李寒.基于Web-GIS的多机协同作业远程监控平台设计[J].农业机械学报,2017,48(s1):52-57,14.

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  • 收稿日期:2017-07-10
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  • 在线发布日期: 2017-12-10
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