基于人工智能计算机视觉技术的大棚监测系统实现

Realization of the Greenhouse Monitoring System Based on AIComputer Vision Technology

近年来,人工智能技术在核心技术以及典型应用上均已出现优越的进展。为有效满足人们对大棚环境的监测和预警需求,该设计利用树莓派(Raspberry PI)搭配DHT11温湿度传感器、摄像头及MQ-2烟雾探测器等器材作为监测设备,搭建基于人工智能计算机视觉技术的大棚监测系统。该系统运用消息队列遥测传输(Message Queuing Telemetry Transport,MQTT)、超文本传输协议(Hyper Text Transfer Protocol,HTTP)和实时消息协议(Real Time Message Protocol,RTMP)作为通信协议,在基于计算机视觉技术的大棚监测系统上实现温湿度、烟雾气体和实时视频图像等数据的采集及报警信息的显示。经过测试,该系统运行稳定,环境数据信息采集准确。

In recent years,artificial intelligence technology has seen explosive progress in core technologies and typical applications.In order to effectively meet people's needs for monitoring and early warning of the greenhouse environment.The system used Raspberry PI with DHT11 temperature and humidity sensors,cameras,and MQ-2 smoke detectors as monitoring equipment to build a smart greenhouse based on WeChat applets.The MQTT(Message Queuing Telemetry Transport)and HTTP(Hyper Text Transfer Protocol)and RTMP(Real Time Message Protocol)were as the communication protocol in the system to realize the collection of temperature,humidity and other data in the real-time,and the display of alarm information on the greenhouse monitoring system based on computer vision technology.After the test,the system runs stably and the environmental data was collected accurately.