Digital twinborn body structural system for precise monitoring of sunlight greenhouse

Abstract

A digital twinborn body structural system for precise monitoring of a sunlight greenhouse comprises an intelligent monitoring control edge node, an intelligent networking transmission node, a cloud storage computing node and a digital twinborn sunlight greenhouse platform which are connected in sequence; a visual control terminal node is connected with the digital twinborn sunlight greenhouse platform; and an expansion module node is connected with the intelligent networking transmission node. According to the invention, automatic real-time acquisition, display and modeling analysis of multi-environment element data can be realized, automatic linkage regulation and control according to an early warning rule are supported, and the effects of improving crop yield, reducing operation and management cost, improving disaster risk resistance, optimizing a management mode and enhancing greenhouse automatic management and control capability are achieved.

Description

technical field [0001] The invention relates to the technical field of automatic environmental monitoring, in particular to a digital twin structure system for precise monitoring of solar greenhouses. Background technique [0002] my country is the country with the largest greenhouse area in the world, and has become the main force in rural revitalization in recent years. But at present, my country's solar greenhouse planting is still in the traditional agricultural stage, and there are limitations of insufficient modernization and insufficient cost investment. There are mainly the following problems: [0003] 1. Most greenhouse farmers still rely on manual management, relying on farmers' planting experience and actual feelings, paying attention to the use of water, fertilizer and medicine, and lacking attention to elements such as solar greenhouses, crops and planting-related meteorology. Due to insufficient temperature and humidity management, adverse environmental condi...

AI Technical Summary

Problems solved by technology

[0003] 1. Most of the greenhouse farmers still rely on manual management, relying on the farmers' planting experience and actual feelings, paying attention to the use of water, fertilizer and medicine, and lack of attention to elements such as solar greenhouses, crops and planting-related meteorology

Due to insufficient temperature and humidity management, adverse environmental conditions such as pests and diseases and crop growth factors have occurred from time to time, causing losses to growers

[0004] 2. Digital acquisition equipment is expensive, and investment in automation is insufficient

There are few automatic monitoring and control equipment in the greenhouse. Even if there is observation equipment, because of the high cost of automation, only single-point observation is carried out, and the accuracy of monitoring the greenhouse environment is reduced and the accuracy is low.

[0005] 3. The low utilization rate of resources and the increase of labor force have always limited the economic benefits of solar greenhouses

The scientific nature of the production process is insufficient, and the sensitivity and accuracy of the system are still not high

[0006] 4. Lack of standardized planting management concepts

Unable to establish accurate digital analysis modeling, analysis and empirical models

Unable to sustainably improve quality and economic benefits

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