Self-learning planting lamp control system based on big data and control method

A control method and self-learning technology, applied in the fields of botanical equipment and methods, horticultural methods, liquid fertilizer adjustment systems, etc., can solve problems such as self-changing plant growth conditions, and achieve cost-saving effects

Pending Publication Date: 2021-12-14
安徽极光照明工程有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a self-learning planting light control system and control method based on big data. Through the setting of the self-learning planting light control system, the problem that the existing plant growth conditions cannot be changed according to the plant growth status is solved.

Method used

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  • Self-learning planting lamp control system based on big data and control method
  • Self-learning planting lamp control system based on big data and control method

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Embodiment 1

[0052] see Figure 1-2 As shown, the present invention is a self-learning planting light control system based on big data, including a control unit and at least two groups of planting mechanisms connected with the control unit signal; any set of planting mechanisms includes a planting groove 1 and a set The plant growth lamp 14 directly above the planting tank 1, and the distance sensor for detecting the distance between the plant growth lamp 14 and the planting tank 1; also includes a soil sensor connected to the control unit and provided with a soil sensor for detecting the soil in the planting tank 1 Nutrient detector, soil moisture sensor; and carbon dioxide sensor, temperature and humidity sensor connected to the control unit and detecting the environment of the planting institution; also includes connecting with the control unit and adjusting the carbon dioxide, temperature and humidity in the environment of the planting institution CO2 generator, humidifier and air cond...

Embodiment 2

[0057] A control method for a self-learning planting light control system based on big data, the number of planting institutions is ten groups, and the control method includes the following steps in sequence:

[0058] Stp1, control the same soil nutrients and soil moisture in each group of planting tanks 1, and simultaneously control the expansion and contraction of the electric telescopic device 12 to realize the same distance between the plant growth lamp 14 and the planting tank 1;

[0059] Stp2, control the carbon dioxide concentration, temperature and humidity of the environment where the planting tank is in a constant state through the carbon dioxide generator, humidifier and air conditioner;

[0060] Stp3, image acquisition is carried out by the image acquisition module, and the initial growth state of the plant is obtained through analysis by the image analysis module;

[0061] Stp4, control the illuminance of the plant growth lamps 14 on the ten groups of planting mec...

Embodiment 3

[0068] A control method for a self-learning planting light control system based on big data, the number of planting institutions is ten groups, and the control method includes the following steps in sequence:

[0069] Stp01, control the same soil nutrients and soil moisture in each group of planting tanks 1, and control the illuminance of the plant growth lamp 14 on each group of planting mechanisms to be 2K;

[0070] Stp02, control the carbon dioxide concentration, temperature and humidity of the environment where the planting tank is in a constant state through the carbon dioxide generator, humidifier and air conditioner;

[0071] Stp03, image acquisition by the image acquisition module, and analysis by the image analysis module to obtain the initial growth state of the plant;

[0072] Stp04, control the distance between the plant growth lamp 14 on the ten groups of planting mechanisms and the planting tank 1 as 1L, 1.1L, 1.25L, 1.5L, 1.7L, 2L, 2.3L, 2.7L, 3.2L and 3.5L;

...

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Abstract

The invention discloses a self-learning planting lamp control system based on big data and a control method, and relates to the technical field of planting lamp control systems. The control system comprises a control unit and at least two planting mechanisms in signal connection with the control unit; each planting mechanism comprises a planting groove, a plant growth lamp arranged over the planting groove and a distance sensor used for detecting the distance between the plant growth lamp and the planting groove; the control system further comprises a soil nutrient detector and a soil humidity sensor which are connected with the control unit and used for detecting soil in the planting grooves. By introducing a plurality of detectors and combining with the control system, illumination, nutrients, moisture, temperature and the like can be more conveniently and flexibly regulated according to the plant growth process, and the control system is convenient, efficient, cost-saving and more suitable for indoor plant planting; and meanwhile, the optimal growth conditions suitable for different growth stages are obtained through comparison according to self-learning.

Description

technical field [0001] The invention belongs to the technical field of planting light control systems, and in particular relates to a self-learning planting light control system and control method based on big data. Background technique [0002] In the technical field of plant growth, it has gradually transformed from traditional open-air planting to indoor greenhouse cultivation. Different plants have different light requirements at different growth stages. [0003] For example, Chinese Publication No. CN106304464A provides a Dendrobium planting lighting control system, including a sensor, a controller, and an LED lamp body. The controller is connected to the sensor and the LED lamp body respectively, and the LED lamp body includes lamp beads and a lamp housing. The lamp beads include blue light beads and red light beads, the number ratio of the blue light beads to the red light beads is 4:1-6:1, and the lamp housing is installed on the lamp in a semicircular arc shape. T...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A01G9/02A01G27/00G01D21/02G01N33/24A01C23/00A01C23/02A01G7/02A01G7/04
CPCA01G9/02A01G7/045A01G27/003A01G7/02A01C23/023A01C23/007G01N33/24G01N33/246G01D21/02G01N2033/245
Inventor 张小波
Owner 安徽极光照明工程有限公司
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