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An intelligent detection device for cucumber greenhouse temperature based on lvq neural network

A neural network and detection device technology is applied in the field of intelligent detection devices for cucumber greenhouse temperature, which can solve the problems of complex large temperature changes and the regulation affecting the environmental temperature of cucumber greenhouses, achieve scientific and accurate prediction results, improve robustness, The effect of improving prediction accuracy

Active Publication Date: 2022-05-17
合肥名龙电子科技有限公司
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Problems solved by technology

[0004] The invention provides an intelligent detection device for cucumber greenhouse temperature based on LVQ neural network. The invention effectively solves the non-linearity, large lag and large temperature change of the cucumber greenhouse area that the existing cucumber greenhouse monitoring system does not change according to the environmental temperature change of the cucumber greenhouse. Complex and other characteristics, intelligent monitoring and prediction of the temperature of the cucumber greenhouse environment, thus greatly affecting the regulation of the temperature of the cucumber greenhouse environment

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  • An intelligent detection device for cucumber greenhouse temperature based on lvq neural network
  • An intelligent detection device for cucumber greenhouse temperature based on lvq neural network
  • An intelligent detection device for cucumber greenhouse temperature based on lvq neural network

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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 cucumber greenhouse and the intelligent prediction of the environmental temperature of the cucumber greenhouse. The system is composed of two parts: a cucumber greenhouse environmental parameter acquisition platform based on CAN bus and an intelligent monitoring system of the cucumber greenhouse temperature. The cucumber greenhouse environmental parameter acquisition platform based on CAN bus includes the detection node 1 of the cucumber greenhouse environmental parameters and the control node 2 for adjusting the cucumber greenhouse environmental 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;...

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Abstract

The invention discloses a cucumber greenhouse temperature intelligent detection device based on LVQ neural network, which is characterized in that the detection device is composed of two parts: a cucumber greenhouse environment parameter acquisition platform based on CAN bus and a cucumber greenhouse temperature intelligent monitoring system; the present invention It effectively solves the problem that the existing cucumber greenhouse monitoring system does not intelligently monitor and predict the temperature of the cucumber greenhouse environment based on the characteristics of nonlinearity, large lag, and complex temperature changes in the cucumber greenhouse environment, thereby greatly improving Affecting the regulation problem of cucumber greenhouse environment temperature.

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 cucumber greenhouses based on an LVQ neural network. Background technique [0002] Cucumber is one of the main types of vegetables cultivated in modern greenhouses. In the modern greenhouse cucumber production process, temperature is one of the main environmental factors affecting the growth and yield of cucumber. Predecessors have done a lot of work on the influence of temperature on cucumber growth and development, yield formation, physiology, biochemistry and photosynthesis. Cucumber is a warm and cool vegetable crop, and its optimum growth temperature is 25-30°C. If it exceeds 35°C, the yield and quality of cucumber will be affected. At present, some scholars have studied the effects of high temperature on the reproductive growth and yield of cucumber. The research found that female flower...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08G06N5/04G06Q10/04G06Q50/02G08B21/18H04L12/40G01D21/02G05D27/02G16Y10/05G16Y20/10G16Y40/10G16Y40/20G16Y40/30
CPCG06Q10/04G06Q50/02G08B21/18H04L12/40G01D21/02G05D27/02H04L2012/40215G06F18/24G06F18/2411G06F18/254G06F18/214
Inventor 马从国郇小城罗灏韩磊马海波陈亚娟丁晓红王建国
Owner 合肥名龙电子科技有限公司
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