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
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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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