Environmental monitoring system for unattended vegetable greenhouse

Abstract

The invention discloses an intelligent environmental monitoring system for an unattended vegetable greenhouse, which comprises a remote monitoring terminal, a cloud server, a monitoring server, a controller, an environment acquisition module, an environment adjustment module and a security intelligent decision module, wherein the remote monitoring terminal transmits information through the cloud server with the monitoring server; the monitoring server builds signal connection with the controller through a switch; the signal output end of the environment acquisition module is connected with theinput end of the controller; and the output end of the controller is connected with the environment adjustment module. real-time environmental monitoring on the unattended vegetable greenhouse can berealized, an unmanned automatic inspection function can be realized, the vegetables in the vegetable greenhouse can be ensured to be in a good working environment, safety operation of the equipment is ensured, human resources can be greatly saved, and the security automatic and intelligent level can be improved.

Description

technical field [0001] The invention relates to the technical field of monitoring, in particular to an environment monitoring system for unattended vegetable greenhouses. Background technique [0002] Since most of the vegetables are unattended, and the area of ​​the vegetable greenhouse is large, it is impossible to detect abnormalities in time by relying on manual inspection. However, the traditional video surveillance mode can no longer meet the existing needs. The existing video surveillance patrol inspection is slow and inaccurate in detecting abnormal conditions, which greatly wastes human resources. With the rise of cloud computing, big data and artificial intelligence, the detection of traditional vegetable greenhouse monitoring mode is inaccurate, and it cannot automatically and efficiently complete the record detection and decision-making process of accidents, which greatly wastes human resources, security automation and intelligence level Low. Contents of the i...

AI Technical Summary

Problems solved by technology

[0002] Since most of the vegetables are unattended, and the vegetable greenhouse has a large area, it is impossible to detect abnormalities in time by relying on manual inspection

However, the traditional video surveillance mode can no longer meet the existing needs. The existing video surveillance patrol inspection is slow and inaccurate in detecting abnormal conditions, which greatly wastes human resources.

With the rise of cloud computing, big data and artificial intelligence, the detection of traditional vegetable greenhouse monitoring mode is inaccurate, and it cannot automatically and efficiently complete the record detection and decision-making process of accidents, which greatly wastes human resources, security automation and intelligence level Low

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