摘要
为了解决传统系统监测准确率较低以及在数据传输过程中存在较高失误的弊端,设计了一种新的GIS环境下冷鲜食品运输自动化监测系统。设计系统主要包括车载终端与服务器,车载终端被安装于运输车辆上,主要用于对车厢内温度以及车辆基本状态信息进行采集,将采集信息利用GPRS网络传输给服务器端。服务器端接收车载终端采集的数据后,对数据进行处理,用户可利用服务器得到所需信息,通信协议选用ZigBee。硬件设计时,主要针对监测节点与网关节点进行研究。为实现对运输车辆的远程管理以及实时监控车厢内的温度以及湿度的信息,合理规划运输路线进行软件设计,主要包含车载监控终端以及监控中心服务端2个部分的设计。经实验验证,监测节点可有效运行,采集温度数据与设置温度数据间误差很小,监测数据可靠。同时设计系统可保证很低的丢包率,有很强的数据传输性能。
In order to solve the problems of low accuracy and high errors in data transmission,a new automatic monitoring system for chilled food transportation in GIS environment was designed.The design system mainly includes on-board terminal and server.The on-board terminal is installed on the transport vehicle,which is mainly used to collect the temperature in the carriage and the basic state information of the vehicle,and transmit the collected information to the server through GPRS network.After the server receives the data collected by the vehicle terminal,it processes the data.Users can use the server to get the required information,and the communication protocol is ZigBee.In the hardware design,the monitoring node and gateway node are studied.In order to realize the remote management of transport vehicles and real-time monitoring of the temperature and humidity information in the carriage,reasonable planning of the transport route is used to carry out software design,and it mainly includs the vehicle monitoring terminal design and monitoring center service terminal design.The experimental results show that the monitoring node can operate effectively,the error between the collected temperature data and the set temperature data is small,and the monitoring data is reliable.At the same time,the system is designed to ensure a very low packet loss rate and a strong data transmission performance.
作者
杨甜
YANG Tian(Xi'an Aeronautical Polytechnic Institute,Xi'an 710089,China)
出处
《自动化与仪器仪表》
2020年第7期112-115,119,共5页
Automation & Instrumentation
基金
西安航空职业技术学院教育教学改革研究项目:“智慧物流”背景下依托实训基地的航空物流专业课程体系改革与实践(No.18XHJG-029)。
关键词
GIS环境
冷鲜食品
运输
自动化
监测
GIS environment
cold and fresh food
transportation
automation
monitoring