为解决农村配电网监测面临的布线困难、信号衰减等问题,设计一种基于远距离无线电(Long Range Radio,LoRa)无线通信的远程监测系统。系统通过分层架构设计,结合高精度传感器与LoRa网络拓扑优化,实现对配电网运行参数的实时采集与传输。...为解决农村配电网监测面临的布线困难、信号衰减等问题,设计一种基于远距离无线电(Long Range Radio,LoRa)无线通信的远程监测系统。系统通过分层架构设计,结合高精度传感器与LoRa网络拓扑优化,实现对配电网运行参数的实时采集与传输。测试结果表明,该系统在复杂地形和恶劣天气条件下保持稳定运行,数据传输成功率超过95%,通信时延控制在2 s以内,为农村配电网智能化监测提供了有效解决方案。展开更多
The environmental quality of livestock houses is key to livestock breeding and directly affects the growth and health of animals.To target the characteristics of long application cycles and large coverage areas for en...The environmental quality of livestock houses is key to livestock breeding and directly affects the growth and health of animals.To target the characteristics of long application cycles and large coverage areas for environmental monitoring in large-scale livestock breeding,the current study designed a remote monitoring system to provide livestock environmental information based on LoRa wireless ad hoc network technology.The system consisted of collection terminals,control terminals,LoRa gateways,and Alibaba Elastic Compute Service.It realized real-time collection,wireless transmission,storage of multi-sensor node data,and remote control.The system was not limited by the selected time or region,because data interaction was achieved by accessing cloud servers using GPRS technology.Users could browse and obtain data from computers and a WeChat mini program from any location with network coverage.Additionally,the system used the improved receiver-based auto rate(RBAR)rate-adaptive algorithm in the LoRa wireless communication component.After application on a dairy farm,the results showed that the whole system collected 6140 sets of environmental data from four dairy houses.The packet loss rate was less than 1%within a communication distance of 604 m,and the communication success rate was greater than 99%.The control instructions were real-time and accurate,and the response time was less than 10 s,which met the remote control needs of large farms.The system provided powerful data and technical support for precision animal production.展开更多
文摘为解决农村配电网监测面临的布线困难、信号衰减等问题,设计一种基于远距离无线电(Long Range Radio,LoRa)无线通信的远程监测系统。系统通过分层架构设计,结合高精度传感器与LoRa网络拓扑优化,实现对配电网运行参数的实时采集与传输。测试结果表明,该系统在复杂地形和恶劣天气条件下保持稳定运行,数据传输成功率超过95%,通信时延控制在2 s以内,为农村配电网智能化监测提供了有效解决方案。
基金This work is financially supported by the National Key Research and Development Program of China(Grant No.2019YFE0125600)the National Natural Science Foundation of China(Grant No.32172784)+2 种基金the China Agricultural Research System(CARS-36)the Northeast Agricultural University“East Agricultural Scholar Program(Academic Backbone)”Project(Grant No.20XG37)the University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province,China(Grant No.UNPYSCT-2020092).
文摘The environmental quality of livestock houses is key to livestock breeding and directly affects the growth and health of animals.To target the characteristics of long application cycles and large coverage areas for environmental monitoring in large-scale livestock breeding,the current study designed a remote monitoring system to provide livestock environmental information based on LoRa wireless ad hoc network technology.The system consisted of collection terminals,control terminals,LoRa gateways,and Alibaba Elastic Compute Service.It realized real-time collection,wireless transmission,storage of multi-sensor node data,and remote control.The system was not limited by the selected time or region,because data interaction was achieved by accessing cloud servers using GPRS technology.Users could browse and obtain data from computers and a WeChat mini program from any location with network coverage.Additionally,the system used the improved receiver-based auto rate(RBAR)rate-adaptive algorithm in the LoRa wireless communication component.After application on a dairy farm,the results showed that the whole system collected 6140 sets of environmental data from four dairy houses.The packet loss rate was less than 1%within a communication distance of 604 m,and the communication success rate was greater than 99%.The control instructions were real-time and accurate,and the response time was less than 10 s,which met the remote control needs of large farms.The system provided powerful data and technical support for precision animal production.
