农机远程智能管理平台研发及其应用

doi:10.12133/j.smartag.2020.2.2.202004-SA006

摘要/Abstract

摘要：

本研究针对农机管理实时数据少、农机实时作业监管困难、服务信息不对称等问题，首先提出专业化远程管理平台设计时应具有五大原则：专业化、标准化、云平台、模块化以及开放性。基于这些原则，本研究设计了基于大田作业智能传感技术、物联网技术、定位技术、遥感技术和地理信息系统的可定制化的通用农机远程智能管理平台。平台分别为各级政府管理部门、农机合作社、农机手、农户设计并实现了基于WebGIS 的农机信息库及农机位置服务、农机作业实时监测与管理、农田基础信息管理、田间作物基本信息管理、农机调度管理、农机补贴管理、农机作业订单管理等多个实用模块。研究着重分析了在当前的技术背景下，平台部分关键技术的实现方法，包括采用低精度GNSS定位系统前提下的作业面积的计算方法、GNSS定位数据处理过程中的数据问题分析、农机调度算法、作业传感器信息的集成等，并提出了以地块为核心的管理平台建设思路；同时提出农机作业管理平台将逐步从简单作业管理转向大田农机综合管理。本平台对同类型管理平台的研发具有一定的参考与借鉴作用。

关键词: 传感技术, 数据融合, 管理平台, 大田农业机械, 物联网, GNSS

Abstract:

In order to solve problems such as the lack of real-time data in agricultural machinery management, the difficulty in real-time machine operation supervision and the asymmetry of machine service information, an intelligent remote management platform was developed in this research. Firstly, five design principles of a specialized remote agricultural machinery management system: specialization, standardization, cloud platform, modularity and openness were proposed. Based on these principles, a customizable general-purpose intelligent remote management system for agricultural machinery based on intelligent sensing technology, Internet of Things technology, positioning technology, remote sensing technology and geographic information system was designed. Practical modules, including agricultural machinery information-based and location-based services using WebGIS, real-time monitoring and management of machinery operation, basic information management of farmland, basic information management of crops in the field, dispatching management of machinery, subsidy management of machinery, order management of machinery operation were designed and implemented in the platform for users of government agencies, agricultural machinery corporations, machine operators, and farmers. Besides, some key technologies of the platform under the current technical background, including the calculation method of the working area with low-precision GNSS positioning receivers, the analysis of anomality data during the processing of GNSS positioning data, the machine scheduling algorithm development, the integration of sensors were focused， analyzed and implementd. The idea of building the machinery management platform with each individual field as the building block was developed. It can be predicted that the agricultural machinery operation management platform would gradually change from simple operation management to field-level comprehensive management. The research and development of this platform can not only solve current machinery management problems, but also provide basic functions for development of similar machinery management platforms.

Key words: sensing technology, data fusion, management platform, farm machinery, IoT, GNSS

中图分类号:

朱登胜, 方慧, 胡韶明, 王文权, 周延锁, 王红艳, 刘飞, 何勇. 农机远程智能管理平台研发及其应用[J]. 智慧农业（中英文）, 2020, 2(2): 67-81.

ZHU Dengsheng, FANG Hui, HU Shaoming, WANG Wenquan, ZHOU Yansuo, WANG Hongyan, LIU Fei, HE Yong. Development and Application of an Intelligent Remote Management Platform for Agricultural Machinery[J]. Smart Agriculture, 2020, 2(2): 67-81.

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