Integrated lighting system for preventing and controlling plant diseases and insect pests

Abstract

The invention relates to the technical field of intelligent agriculture, and discloses a plant disease and pest control integrated lighting system which comprises a data collection module, a data processing module, an execution module, a feedback module and a lighting system improvement module. The data collection module is responsible for collecting plant physiological data, plant pest data, plant growth environment data and working state data of the lighting system, the data processing module calculates a pest occurrence risk index, a plant optimal light source wave band and plant optimal illumination intensity, and the execution module controls operation of the lighting system according to calculated values. The feedback module optimizes and adjusts the system according to the operation effect of the lighting system and the feedback information of the plant growth condition, the lighting system improvement module upgrades and optimizes the lighting system according to the data provided by the feedback module, and the above modules cooperate with each other to improve the plant growth condition. The system has the advantages of integrated prevention and control, ecological friendliness, intelligence, high efficiency, energy conservation and environmental protection.

Description

Technical Field

[0001] The present invention relates to the field of smart agricultural technology, and in particular to an integrated lighting system for plant disease and insect pest control. Background Art

[0002] Traditional plant pest control technologies have long relied on blacklight trapping and manual spraying, resulting in low control efficiency, high ecological risk, and high costs. Chemical pesticides can easily lead to pesticide residues and environmental pollution, while traditional light-based insect trapping devices—high-pressure mercury lamps—lack selectivity, often accidentally killing natural enemies and disrupting the ecological balance of farmland. Furthermore, disease monitoring and control methods are separated, requiring the coordination of multiple devices, resulting in high energy consumption and poor data connectivity. Furthermore, existing technologies are mostly passive, lacking intelligent control and dynamic early warning capabilities, making precise policy implementation difficult.

[0003] To address the above shortcomings, the integrated lighting system for plant disease and pest control improves the efficiency, ecological safety and economy of pest control through multi-functional integration, precise targeted control and green and sustainable innovative design, providing a technology upgrade path for smart agriculture and green plant protection. Summary of the Invention

[0004] (1) Technical problems solved

[0005] In response to the shortcomings of the existing technology, the present invention provides an integrated lighting system for plant disease and insect pest control, which has the advantages of integrated prevention and control, eco-friendliness, intelligence, high efficiency, energy saving and environmental protection, and solves the problems of traditional technology and equipment separation, high risk of ecological damage, and extensive and inefficient prevention and control.

[0006] (2) Technical solution

[0007] To achieve the above-mentioned object, the present invention provides the following technical solutions: an integrated lighting system for plant disease and insect pest control, comprising a data collection module, a data processing module, an execution module, a feedback module and a lighting system enhancement module;

[0008] The said is responsible for collecting plant physiological data, plant pest data, plant growth environment data and lighting system working status data;

[0009] The data processing module analyzes and processes the collected data to calculate the risk index of pest occurrence , the best light source band for plants and optimal light intensity for plants ;

[0010] The execution module is based on the risk index of pest occurrence , the best light source band for plants and optimal light intensity for plants The value of controls the operation of the lighting system;

[0011] The feedback module optimizes and adjusts the system based on the feedback information of the operating effect of the lighting system and the growth status of the plants;

[0012] The lighting system improvement module upgrades and optimizes the lighting system according to the data provided by the feedback module.

[0013] Preferably, the data collection module includes a plant physiological monitoring unit, a plant pest data unit, an environment perception unit and a light data unit.

[0014] Preferably, the plant physiological monitoring unit monitors plant physiological data, including the heat resistance of plants, through plant epidermal sensors and soil sensors. , plant moisture tolerance and photostability of plants .

[0015] Preferably, the plant pest data unit is connected to the agricultural database and research results of scientific research institutions through the network to obtain real-time data information on the types, living habits and reproduction cycles of common pests in different regions and plants. At the same time, it cooperates with local insect monitoring stations to obtain dynamic data of pests monitored on the spot, including the real-time distribution of pests and changes in insect population density. The changes in insect population density include the maximum humidity of pest activity. and minimum value .

[0016] Preferably, the environmental sensing unit monitors plant growth environment data in real time through sensors, including current temperature , current humidity and the current light intensity The light data unit records the working status data of the light system, including the on and off time of the light source, the adjustment of the plant light source band and the number of insects attracted.

[0017] Preferably, the data processing module includes a pest occurrence risk warning unit and a lighting optimization unit.

[0018] Preferably, the pest occurrence risk warning unit calculates the pest occurrence risk index based on plant physiological data and plant growth environment data. , and its calculation formula is:

[0019]

[0020] In the formula, Indicates the risk index of pest occurrence, Indicates the current temperature. Indicates the current humidity. Indicates the current light intensity. represents the environmental suitability index, 、 、 Respectively represent the weight coefficients of current temperature, current humidity and current light intensity in environmental suitability, Indicates the heat tolerance of plants. Indicates the moisture tolerance of plants, Indicates the light tolerance of plants, represents the plant tolerance index, 、 、 Respectively represent the weight coefficients of plant light resistance, heat resistance and moisture resistance in plant tolerance, represents the pest activity threshold, represents the pest weight factor, Indicates the adjustment factor.

[0021] Preferably, the lighting optimization unit calculates the optimal light source band for plants based on the working status data of the lighting system and the plant growth environment data. , and its calculation formula is:

[0022]

[0023] In the formula, Indicates the optimal light source band for plants. Indicates the basic plant light source band, Indicates the current temperature. The optimal temperature for plant growth. Indicates the current humidity. Indicates the optimal humidity for plant growth. Indicates the current light intensity. Indicates the optimal light intensity for plant growth. 、 、 Respectively represent the influence coefficients of temperature, humidity and light intensity on plants.

[0024] Preferably, the lighting optimization unit calculates the optimal light intensity for plants based on the working status data of the lighting system and the plant growth environment data. , and its calculation formula is:

[0025]

[0026] In the formula, Indicates the optimal light intensity for plants. Indicates the maximum light tolerance of plants, that is, the default maximum light intensity under standard environmental conditions. Indicates the moisture tolerance of plants, 、 They represent the maximum and minimum values ​​of pest activity humidity respectively.

[0027] Preferably, the execution module is based on the risk index of pest occurrence , conduct risk assessment and judgment, and the system sets the risk index of pest occurrence The threshold is 0.5, when the risk index of pest occurrence When the value is ≥0.5, the system control program is started, and the optimal light source band for the plant is used. and optimal light intensity for plants Dynamically adjust the wavelength and intensity of LED light sources.

[0028] Compared with the existing technology, the present invention provides an integrated lighting system for plant disease and insect pest control, which has the following beneficial effects:

[0029] 1. The present invention calculates the risk index of pest occurrence , conduct risk assessment and judgment, and the system sets the risk index of pest occurrence The threshold is 0.5, when the risk index of pest occurrence When the humidity is ≥0.5, the system will automatically turn off the peripheral insect-attracting lamps, which can cut off the broad-spectrum attraction of traditional lights to pests and avoid waste of resources caused by ineffective trapping; the bionic repellent light source is activated to emit red light above 600nm, and the band differences of insect phototaxis are used to directionally inhibit the phototaxis of pests and reduce interference with natural enemies; directional ultraviolet sterilization is activated to release high-irradiance ultraviolet rays in the 265-280nm band for more than 2 hours, so that it can accurately kill retained pests and pathogens; finally, the local micro-mist system is linked to control the humidity at the target value ±5%. The system only activates prevention and control measures in high-risk areas and time periods, which can avoid the inefficiency of equipment separation and extensive prevention and control in traditional technologies. By dynamically adjusting the prevention and control strategy, the accuracy and effectiveness of the prevention and control measures can be ensured, and ultimately solve the problems of equipment separation, high risk of ecological damage, and extensive and inefficient prevention and control in traditional technologies.

[0030] 2. The present invention calculates the optimal light source band for plants and optimal light intensity for plants , to dynamically adjust the wavelength and intensity of the LED light source to ensure that the lighting system operates in the optimal state, so as to achieve precise pest control and promote healthy plant growth. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 This is a flow chart of the system of the present invention. DETAILED DESCRIPTION

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0033] See also Figure 1 , an integrated lighting system for plant disease and insect pest control, including a data collection module, a data processing module, an execution module, a feedback module and a lighting system improvement module;

[0034] Responsible for collecting plant physiological data, plant pest data, plant growth environment data and lighting system working status data;

[0035] The data processing module analyzes and processes the collected data and calculates the risk index of pest occurrence , the best light source band for plants and optimal light intensity for plants ;

[0036] The execution module is based on the risk index of pest occurrence , the best light source band for plants and optimal light intensity for plants The value of controls the operation of the lighting system to achieve precise prevention and control;

[0037] The feedback module optimizes and adjusts the system based on the feedback information of the lighting system's operating effect and plant growth status;

[0038] The lighting system improvement module upgrades and optimizes the lighting system based on the data provided by the feedback module to improve the performance and effect of the system.

[0039] The data collection module includes a plant physiological monitoring unit, a plant pest data unit, an environmental perception unit and a light data unit.

[0040] The plant physiological monitoring unit monitors plant physiological data, including plant heat tolerance, through plant epidermal sensors and soil sensors , plant moisture tolerance and photostability of plants .

[0041] The plant pest data unit connects to agricultural databases and research results of scientific research institutions through the Internet to obtain real-time data information on the types, living habits and reproductive cycles of common pests in different regions and plants. At the same time, it cooperates with local insect monitoring stations to obtain pest dynamic data monitored on the spot, including the real-time distribution of pests and changes in insect population density. The changes in insect population density include the maximum humidity of pest activity. and minimum value .

[0042] The environmental perception unit monitors plant growth environment data in real time through sensors, including the current temperature , current humidity and the current light intensity The lighting data unit records the working status data of the lighting system, including the on and off time of the light source, the adjustment of the plant light source band and the number of attracted insects, providing a data basis for the subsequent analysis of the operating effect of the lighting system.

[0043] The data processing module includes a pest risk warning unit and a lighting optimization unit.

[0044] The pest occurrence risk warning unit calculates the pest occurrence risk index based on plant physiological data (light resistance, heat resistance and humidity resistance data at different plant growth stages) and plant growth environment data (including temperature and humidity, light intensity and soil moisture content). , and its calculation formula is:

[0045]

[0046] In the formula, Indicates the risk index of pest occurrence, Indicates the current temperature. Indicates the current humidity. Indicates the current light intensity. represents the environmental suitability index, 、 、 Respectively represent the weight coefficients of current temperature, current humidity and current light intensity in environmental suitability, Indicates the heat tolerance of plants. Indicates the moisture tolerance of plants, Indicates the light tolerance of plants, represents the plant tolerance index, 、 、 Respectively represent the weight coefficients of plant light resistance, heat resistance and moisture resistance in plant tolerance, Indicates the pest activity threshold, that is, the degree of pest activity under current environmental conditions. represents the pest weight factor, i.e., the severity of damage caused by a specific pest to plants. Represents the adjustment coefficient, which is used to adjust the magnitude of the overall risk index of plants to pests to ensure that the risk index is within a reasonable range.

[0047] Advantages: By calculating the risk index of pest occurrence , conduct risk assessment and judgment, and the system sets the risk index of pest occurrence The threshold is 0.5, when the risk index of pest occurrence When the humidity is ≥0.5, the system will automatically turn off the peripheral insect-attracting lamps, which can cut off the broad-spectrum attraction of traditional lights to pests and avoid waste of resources caused by ineffective trapping; the bionic repellent light source is activated to emit red light above 600nm, and the band differences of insect phototaxis are used to directionally inhibit the phototaxis behavior of pests, while reducing interference with natural enemies; directional ultraviolet sterilization is activated to release high-irradiance ultraviolet rays in the 265-280nm band for more than 2 hours, accurately killing retained pests and pathogens; finally, the local micro-mist system is linked to control the humidity at the target value ±5%. The system only activates prevention and control measures in high-risk areas and time periods, which can avoid the inefficiency of equipment separation and extensive prevention and control in traditional technologies. By dynamically adjusting the prevention and control strategy, the accuracy and effectiveness of the prevention and control measures can be ensured, and ultimately solve the problems of equipment separation, high risk of ecological damage, and extensive and inefficient prevention and control in traditional technologies.

[0048] The lighting optimization unit calculates the optimal light source band for plants based on the working status data of the lighting system and the plant growth environment data. , and its calculation formula is:

[0049]

[0050] In the formula, Indicates the optimal light source band for plants. Indicates the basic plant light source band, Indicates the current temperature. The optimal temperature for plant growth. Indicates the current humidity. Indicates the optimal humidity for plant growth. Indicates the current light intensity. Indicates the optimal light intensity for plant growth. 、 、 They respectively represent the influence coefficients of temperature, humidity, and light intensity on plants, and can quantify the need for compensation of bands when the environment deviates from the optimal conditions (such as blue-shifted bands to inhibit excessive growth at high temperatures and red-shifted bands to promote photosynthesis at low temperatures).

[0051] The advantage is: by calculating the optimal light source band for plants , and use its dynamic adjustment parameters as the light source band setting standard, and substitute them into the system for adaptive adjustment of the spectral output to avoid excessive lighting of fixed bands. When it is night or in a low-light environment, the system will automatically reduce the intensity to reduce energy waste. At the same time, when the temperature and humidity fluctuate, the optimal conditions for photosynthesis are maintained through band compensation, the plant's stress resistance is enhanced, and ultimately the photosynthetic efficiency and environmental adaptability are improved, so that the system can achieve the effect of synergistic optimization of precise growth promotion and energy saving and consumption reduction.

[0052] The lighting optimization unit calculates the optimal light intensity for plants based on the working status data of the lighting system and the plant growth environment data. , and its calculation formula is:

[0053]

[0054] In the formula, Indicates the optimal light intensity for plants. Indicates the maximum light tolerance of plants, that is, the default maximum light intensity under standard environmental conditions. Indicates the moisture tolerance of plants. Moisture tolerance affects the tolerance of plants to high / low humidity environments and indirectly determines the allowable adjustment range of light intensity. Pest activity humidity modifies light intensity through a functional formula to avoid excessively attracting pests in the pest activity humidity range. 、 They represent the maximum and minimum values ​​of pest activity humidity respectively.

[0055] Advantages: By calculating the optimal light intensity for plants , it is used as a dynamic adjustment parameter and substituted into the system for adaptive matching of light intensity and band. The light intensity is dynamically adjusted according to the ambient humidity and the activity status of pests, which not only meets the photosynthesis needs of plants, but also reduces the ineffective attraction of pests. Ultimately, it improves the efficiency of light energy utilization and the accuracy of pest phototaxis inhibition, so that the system can achieve a coordinated prevention and control effect of on-demand regulation, energy saving and efficiency improvement.

[0056] The execution module is based on the risk index of pest occurrence , conduct risk assessment and judgment, and the system sets the risk index of pest occurrence The threshold is 0.5, when the risk index of pest occurrence When the value is ≥0.5, the system control program is started, the peripheral insect trap lights are turned off, and the bionic repellent light source (red light above 600nm and a certain light intensity range is set) is started to activate the directional ultraviolet sterilization (265-280nm) + local micro-mist system (humidity control ±5%). Through the above measures, the execution module can be based on the risk index of pest occurrence , accurately initiate corresponding prevention and control measures, while protecting natural enemies and insects, optimizing the plant growth environment, improving prevention and control effects and saving resources, the execution module is based on the optimal light source band of the plant and optimal light intensity for plants Dynamically adjust the wavelength and intensity of LED light sources to ensure that the lighting system operates in the optimal state to achieve precise pest control and promote healthy plant growth.

[0057] The advantage is that the present invention calculates the risk index of pest occurrence , the best light source band for plants and optimal light intensity for plants By regulating humidity, the reproduction and activity of pests are suppressed, while the transpiration needs of plants are guaranteed. Through the closed-loop mechanism of "risk assessment-targeted intervention-environmental regulation", the system achieves precise pest control (only for high-risk areas and time periods), energy saving (adjusting light and sterilization intensity on demand) and eco-friendliness (protecting natural enemies and reducing dependence on chemical pesticides). Ultimately, the system can not only effectively reduce the risk of pest occurrence, but also optimize the plant growth environment, thereby ensuring the healthy growth of plants and achieving a balance between comprehensive pest and disease prevention and control and healthy crop growth.

[0058] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An integrated lighting system for plant disease and insect pest control, characterized in that: It includes data collection module, data processing module, execution module, feedback module and lighting system improvement module; The said is responsible for collecting plant physiological data, plant pest data, plant growth environment data and lighting system working status data; The data processing module analyzes and processes the collected data to calculate the risk index of pest occurrence , the best light source band for plants and optimal light intensity for plants ; The execution module is based on the risk index of pest occurrence , the best light source band for plants and optimal light intensity for plants The value of controls the operation of the lighting system; The feedback module optimizes and adjusts the system based on the feedback information of the operating effect of the lighting system and the growth status of the plants; The lighting system improvement module upgrades and optimizes the lighting system according to the data provided by the feedback module.

2. The integrated lighting system for plant disease and insect pest control according to claim 1, characterized in that: The data collection module includes a plant physiological monitoring unit, a plant pest data unit, an environment perception unit and a light data unit.

3. The integrated lighting system for plant disease and insect pest control according to claim 2, characterized in that: The plant physiological monitoring unit monitors plant physiological data, including the heat tolerance of plants, through plant epidermal sensors and soil sensors. , plant moisture tolerance and photostability of plants .

4. The integrated lighting system for plant disease and insect pest control according to claim 2, characterized in that: The plant pest data unit is connected to agricultural databases and research results of scientific research institutions through the network to obtain real-time data information on the types, living habits and reproduction cycles of common pests in different regions and plants. At the same time, it cooperates with local insect monitoring stations to obtain pest dynamic data monitored on the spot, including the real-time distribution of pests and changes in insect population density. The change in insect population density includes the maximum value of the humidity where the pests are active. and minimum value .

5. The integrated lighting system for plant disease and insect pest control according to claim 2, characterized in that: The environmental sensing unit monitors plant growth environment data in real time through sensors, including the current temperature , current humidity and the current light intensity The light data unit records the working status data of the light system, including the on and off time of the light source, the adjustment of the plant light source band and the number of insects attracted.

6. The integrated lighting system for plant disease and insect pest control according to claim 1, characterized in that: The data processing module includes a pest occurrence risk warning unit and a lighting optimization unit.

7. The integrated lighting system for plant disease and insect pest control according to claim 6, characterized in that: The pest occurrence risk early warning unit calculates the risk index of pest occurrence based on plant physiological data and plant growth environment data , and its calculation formula is: In the formula, Indicates the risk index of pest occurrence, Indicates the current temperature. Indicates the current humidity. Indicates the current light intensity. represents the environmental suitability index, 、 、 Respectively represent the weight coefficients of current temperature, current humidity and current light intensity in environmental suitability, Indicates the heat tolerance of plants. Indicates the moisture tolerance of plants, Indicates the light tolerance of plants, represents the plant tolerance index, 、 、 Respectively represent the weight coefficients of plant light resistance, heat resistance and moisture resistance in plant tolerance, represents the pest activity threshold, represents the pest weight factor, Indicates the adjustment factor.

8. The integrated lighting system for plant disease and insect pest control according to claim 6, characterized in that: The lighting optimization unit calculates the optimal light source band for plants based on the working status data of the lighting system and the plant growth environment data. , and its calculation formula is: In the formula, Indicates the optimal light source band for plants. Indicates the basic plant light source band, Indicates the current temperature. The optimal temperature for plant growth. Indicates the current humidity. Indicates the optimal humidity for plant growth. Indicates the current light intensity. Indicates the optimal light intensity for plant growth. 、 、 Respectively represent the influence coefficients of temperature, humidity and light intensity on plants.

9. The integrated lighting system for plant disease and insect pest control according to claim 6, characterized in that: The lighting optimization unit calculates the optimal light intensity for plants based on the working status data of the lighting system and the plant growth environment data. , and its calculation formula is: In the formula, Indicates the optimal light intensity for plants. Indicates the maximum light tolerance of plants, that is, the default maximum light intensity under standard environmental conditions. Indicates the moisture tolerance of plants, 、 Respectively represent the maximum and minimum values ​​of pest activity humidity.

10. The integrated lighting system for plant disease and insect pest control according to claim 1, characterized in that: The execution module is based on the risk index of pest occurrence , conduct risk assessment and judgment, and the system sets the risk index of pest occurrence The threshold is 0.5, when the risk index of pest occurrence When the value is ≥0.5, the system control program is started, and the optimal light source band for the plant is used. and optimal light intensity for plants Dynamically adjust the wavelength and intensity of LED light sources.

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