A Greenhouse Environment Control IoT System Based on Edge-Cloud Collaboration

Abstract

The present invention relates to a greenhouse environment control IoT system based on edge-cloud collaboration. The system includes one or more independent edge cloud terminals, a cloud server communicating with the edge cloud terminal through a The remote user terminal on the cloud server side, the edge cloud terminal is a monitoring cloud terminal mounted with sensing equipment, a cloud weather station for collecting outdoor weather data, a control cloud terminal mounted with an actuator, and a video cloud terminal for collecting on-site video data and / or a separate cloud terminal without any mounts. Compared with the prior art, the present invention has the advantages of high communication efficiency, data sharing, data security, functional independence, deployment and expansion flexibility, and the like.

Description

technical field [0001] The invention relates to the technical field of greenhouse Internet of Things, in particular to a greenhouse environment control Internet of Things system based on edge-cloud collaboration. Background technique [0002] Greenhouses can collect and transmit environmental information through sensor networks to achieve the required remote data monitoring and decision-making, and integrate more advanced and complete Internet of Things technology into the greenhouse intelligent control system, which can effectively improve the economic benefits of agricultural product cultivation. [0003] At present, in the traditional greenhouse IoT control system, various sensors usually form a data acquisition network, which is uploaded to the field controller through the wireless gateway as input to guide the action of the actuator. Most systems generally upload the data to the base station server through the local area network and then through the host computer. The d...

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Problems solved by technology

[0004] This traditional greenhouse IoT system passes through multiple gateways in the information collection process, involving the application of various wireless communication technologies, and the decision-making of each control node often depends on the environmental data collected in the greenhouse and outdoor climate information. Each terminal is separately mounted with a huge sensor network to obtain environmental data. This system architecture will become more and more complex in the development process of collecting data and control schemes. On the other hand, different control systems The information required for decision-making may overlap, but it is not easy for the control node as a lower computer to realize data sharing in different terminal sensor networks, which forms data redundancy in the network to a certain extent, reduces the information utilization rate in the network, and increases Development and deployment costs of terminal control systems

[0005] For example, the Chinese patent whose publication number is CN210445075U discloses an agricultural intelligent greenhouse monitoring system based on the Internet of Things. This system performs data transmission through wireless communication technologies such as Bluetooth, wifi, ZigBee, GPRS, etc., and can realize short-distance and long-distance transmission. This system involves a variety of communication technologies, the networking structure is relatively complex, and the on-site terminal software is closed, users cannot access the on-site terminal for specific visual configuration

[0006] For another example, the Chinese patent with the publication number CN102981484B discloses a greenhouse intelligent control system based on the Internet of Things. The information collection process of the system involves the application of various wireless communication technologies through multiple gateways. The terminal is mounted with a huge sensor network and passed An independent local server accesses, configures, and interacts with the cloud. This system architecture is difficult to achieve data sharing between different terminals, and the structure is complex, and terminal functions are not easy to transplant and expand. As the amount of data increases, the communication load and computing pressure will increase. Big

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