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DRNN neural network-based eggplant greenhouse temperature intelligent detection device

A neural network and detection device technology, applied in the field of agricultural greenhouse automation equipment, can solve the problems of large eggplant greenhouse area, complex temperature changes, and affecting the regulation of the eggplant greenhouse environment temperature, so as to improve flexibility, accuracy and reliability. Effect

Active Publication Date: 2019-08-09
HUAIYIN INSTITUTE OF TECHNOLOGY
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Problems solved by technology

[0005] The invention provides an intelligent temperature detection device for eggplant greenhouse based on DRNN neural network. The invention effectively solves the non-linearity, large lag and large temperature change of the eggplant greenhouse area that the existing eggplant greenhouse monitoring system does not change according to the environmental temperature change of the eggplant greenhouse. Complex and other characteristics, the temperature of the eggplant greenhouse environment is detected, which greatly affects the regulation of the temperature of the eggplant greenhouse environment

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  • DRNN neural network-based eggplant greenhouse temperature intelligent detection device

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Embodiment Construction

[0031] combined with Figure 1-6 , further describe the technical solution of the present invention:

[0032] 1. Design of the overall function of the system

[0033] The invention realizes the detection of the environmental factor parameters of the eggplant greenhouse and the fusion and prediction of the environmental temperature of the eggplant greenhouse. The system is composed of two parts: an eggplant greenhouse environment parameter acquisition platform based on CAN bus and an eggplant greenhouse temperature intelligent detection system. The eggplant greenhouse environment parameter acquisition platform based on CAN bus includes the detection node 1 of the eggplant greenhouse environment parameters and the control node 2 for adjusting the eggplant greenhouse environment parameters. The measurement and control network is constructed by CAN bus to realize the detection node 1, control node 2 and on-site monitoring On-site communication between terminals 3; detection node ...

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Abstract

The invention discloses a DRNN neural network-based eggplant greenhouse temperature intelligent detection device. The detection device is characterized in that the detection device is composed of a CAN bus-based eggplant greenhouse environment parameter acquisition platform and an eggplant greenhouse temperature intelligent detection system. An existing eggplant greenhouse monitoring system failsto detect the temperature of the greenhouse environment of eggplants according to characteristics such as the non-linearity and large lag of the temperature change of the environment of an eggplant greenhouse and complex temperature change due to the large area of the eggplant greenhouse, and as a result, the adjustment and control of the temperature of the environment of the eggplant greenhouse is greatly affected, while, with the DRNN neural network-based eggplant greenhouse temperature intelligent detection device adopted, the above problem can be solved.

Description

technical field [0001] The invention relates to the technical field of agricultural greenhouse automation equipment, in particular to an intelligent temperature detection device for eggplant greenhouses based on a DRNN neural network. Background technique [0002] Eggplant is a widely cultivated vegetable species in various parts of my country. Eggplant likes warm climates and is often damaged by low temperatures, which affects yield and quality. With the change of cultivation methods and the improvement of people's living standards, the demand for special eggplant varieties for low-temperature-resistant protected cultivation is also increasing. Eggplant is native to India and is a temperature-loving plant. Plants grow slowly below 15°C, and stems and leaves will be damaged below 5°C. With the expansion of eggplant cultivation area in my country's protected areas, low temperature weather is often encountered during seedling cultivation in early spring, which is seriously ha...

Claims

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Application Information

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IPC IPC(8): G01W1/02G01W1/10G06K9/62G06N3/04G06N3/08
CPCG01W1/02G01W1/10G06N3/08G06N3/044G06F18/23G06F18/241
Inventor 马从国姜仲秋芦宇凡史文云杨玉东陈亚娟丁晓红王建国
Owner HUAIYIN INSTITUTE OF TECHNOLOGY
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