Pest control equipment and method based on greenhouse vegetable planting

Abstract

The invention discloses pest control equipment and a pest control method based on greenhouse vegetable planting, and belongs to the field of agricultural pest control. According to the technical scheme, the pest control equipment based on greenhouse vegetable planting comprises a monitoring and early warning module, a physical control module, a biological control module and an intelligent control module, and the monitoring and early warning module comprises a pest situation forecasting mechanism; real-time monitoring and early warning are achieved through multiple trapping modes and an AI algorithm, physical prevention and control and biological prevention and control means are combined, automatic adjustment is achieved through the intelligent control module, and therefore the problems that in the prior art, monitoring is not timely, the prevention and control means are single, and intelligent control is lacked are solved; the system has the advantages of real-time monitoring and early warning, synergistic effect of multiple prevention and control means, intelligent control and accurate prevention and control.

Description

Technical Field

[0001] The present invention belongs to the field of agricultural pest control, and particularly relates to a pest control device and method based on greenhouse vegetable planting. Background Art

[0002] Greenhouse vegetable planting is an important way of modern agricultural production, which can effectively control the crop growth environment and improve the yield and quality. However, the high-temperature and high-humidity environment in the greenhouse also provides favorable conditions for the reproduction of pests, resulting in a large number of pest species, rapid reproduction and serious damage. Common pests include aphids, whiteflies, thrips, spider mites, noctuid pests, etc. These pests not only directly damage the growth of vegetables, but also may spread virus diseases, causing serious economic losses.

[0003] At present, the pest control in greenhouses mainly relies on chemical pesticides. Although chemical pesticides can quickly kill pests, there are also some prominent problems. First, the control means are single and the effect is poor. Traditional chemical control means often only target one or several pests, and it is difficult to comprehensively cover a variety of pests in the greenhouse. In addition, the long-term use of a single pesticide is likely to cause pests to develop drug resistance and reduce the control effect. Second, the existing pest monitoring and control work mainly relies on manual labor, which not only has a large labor intensity, but also has low efficiency and is difficult to achieve precise control. Finally, the excessive use of chemical pesticides will lead to excessive pesticide residues, seriously affecting the safety and quality of agricultural products, and at the same time posing a potential threat to the environment and human health.

[0004] In order to solve the above problems, in recent years, physical control and biological control technologies have gradually received attention. Physical control technologies (such as light trapping, color plate trapping, sex pheromone trapping, etc.) can effectively reduce the number of pests, but it is difficult to achieve long-term control by using physical control means alone. Biological control technologies (such as releasing natural enemy insects, using microbial agents, etc.) have the advantages of environmental protection and sustainability, but their effects are greatly affected by environmental conditions and pest densities, and it is difficult to quickly reduce pest densities when used alone.

[0005] In addition, the existing pest control technologies also have the following deficiencies: lack of real-time monitoring and early warning systems, unable to detect pest threats in time; the control measures lack pertinence, and it is difficult to adopt corresponding control strategies according to different pest species and quantities; lack of intelligent control systems, unable to achieve automatic and precise control; it is difficult to organically combine various control means and unable to give play to the synergistic effects of various control methods. Summary of the Invention

[0006] The present invention provides a pest control device and method based on greenhouse vegetable planting to solve at least one of the above technical problems.

[0007] The technical solution adopted by the present invention is as follows:

[0008] A pest control device based on greenhouse vegetable planting, comprising a monitoring and early warning module, a physical control module, a biological control module and an intelligent control module, wherein the monitoring and early warning module comprises an insect monitoring and reporting mechanism, and the insect monitoring and reporting mechanism comprises a light source trapping module, a color plate trapping module, a sex pheromone trapping module and a food trapping module which are arranged in sequence from top to bottom according to the habits of the pests; and further comprises a camera and a data processing unit for photographing image data of the pests trapped by the light source trapping module, the color plate trapping module, the sex pheromone trapping module and the food trapping module; the physical control module comprises a multi-band LED light source arranged on the top of the greenhouse and a sex pheromone releasing device which is slidably arranged along the depth direction of the greenhouse; the biological control module comprises a natural enemy insect releasing device and a microbial agent spraying device which are slidably arranged along the depth direction of the greenhouse; and the intelligent control module comprises a central controller, a data storage unit and a remote communication module.

[0009] Preferably, it also includes an LED display screen for displaying pest data in the greenhouse.

[0010] Preferably, the camera captures images and identifies the types and quantities of pests through an AI algorithm; the data processing unit is used to analyze the monitoring data of the camera and generate a real-time monitoring report on the types and quantities of pests; the central controller automatically adjusts the working states of the physical control module and the biological control module according to the monitoring data analyzed by the data processing unit.

[0011] Preferably, the data storage unit is used to store pest data, and the data processing unit analyzes the historical data recorded by the storage unit to derive the occurrence pattern of pests, and then generates an early warning report, which is transmitted to the LED display screen and / or mobile phone APP and / or SMS to notify the user via the remote communication module.

[0012] Preferably, the physical control module further comprises color plates continuously arranged on both sides of the plants along the depth direction of the greenhouse, the color plates are yellow and / or blue, the color plates are groove-shaped structures, and a sticky adhesive is coated inside the color plates.

[0013] A pest control method based on greenhouse vegetable cultivation, the specific steps are as follows: S1, a plurality of monitoring and early warning modules are arranged at equal intervals along the depth direction of the greenhouse; S2, a light source trapping module, a color plate trapping module, a sex pheromone trapping module, and a food trapping module attached to the ground are started to trap pests; S3, a camera captures and records image data information of captured pests, and uploads the data information to a data processing unit, which identifies and analyzes the specific types and quantities of pests through an AI algorithm to obtain a real-time monitoring report; S4, a central controller automatically adjusts the working states of a physical control module and a biological control module according to the data analyzed by the data processing unit.

[0014] Preferably, the data storage unit stores pest data. The data processing unit analyzes the historical data stored in the data storage unit to obtain the occurrence pattern of pests, and then generates a warning report. In S3, both the real-time monitoring report and the warning report analyzed by the data processing unit can be transmitted to the LED display screen and / or the mobile phone APP and / or SMS to notify the user through the remote communication module.

[0015] Preferably, the steps for adjusting the working states of the light source trapping module and the sex pheromone trapping module are as follows: Step 1: The central controller adjusts the light intensity, wavelength, and light color of the multi-band LED light source in the corresponding area according to the 3-5 types of pests with the largest quantity in the pest data analyzed by each data processing unit, so as to perform the first trapping of the pests with the largest quantity in the greenhouse by the multi-band LED light source; Step 2: The central controller drives the sex pheromone releasing device to slide along the depth direction of the greenhouse and releases the sex pheromone corresponding to the pest species according to the change in the pest quantity distribution; Step 3: The central controller drives the biological control module to slide to the sex pheromone releasing area and drives the natural enemy insect releasing device to release the corresponding quantity of natural enemy insects according to the sex pheromone release amount, and at the same time drives the microbial agent spraying device to spray the corresponding amount of microbial agent.

[0016] Preferably, in Step 1, the multi-band LED light source is set to blue light at 450 nm or green light at 520 nm.

[0017] Preferably, chemical control means are used for auxiliary pest control, and the specific steps are as follows: Step 1, set a threshold value in the data processing unit. When the number of pests monitored by any monitoring and warning module exceeds the threshold value, the monitoring and warning module sends an alarm message to the user to enable the user to react quickly. By precisely spraying imidacloprid or abamectin, the application amount and application range of imidacloprid or abamectin are dynamically adjusted according to the monitoring data; Step 2, record the application time to ensure that the vegetables are harvested after the safe interval period.

[0018] Due to the adoption of the above technical solution, the beneficial effects obtained by the present invention are as follows:

[0019] 1. The monitoring and warning module can effectively monitor the situation of various pests in the greenhouse through the combined method of light source trapping, color plate trapping, sex pheromone trapping, and food trapping. The combined use of the physical control module and the biological control module can not only quickly reduce the number of pests but also long-term control the reproduction of pests. The automated management of the intelligent control module improves the efficiency and accuracy of pest control, reduces the dependence on chemical pesticides, and ensures the safety of agricultural products.

[0020] The central controller can control the amount of sex pheromone released by the sex pheromone release device according to the key areas of pest distribution, that is, the higher the density of pests in a region, the higher the amount of sex pheromone released by the sex pheromone release device in that region. After the sex pheromone attracts the pests in the release area to this area, the natural enemy insect release device and the microbial agent spraying device in the biological control module control the reproduction and spread of pests more accurately and efficiently by releasing natural enemy insects and spraying microbial agents. Analyzing from another perspective, when pests are concentrated in a certain area under the induction of sex pheromone, it can provide sufficient food for the released natural enemy insects, thereby promoting the growth, development and reproduction of natural enemy insects. The two cooperate with each other, greatly improving the efficiency and effect of pest control.

[0021] 2. By adopting a multi-band LED light source with a specific wavelength, the control effect of the pest control equipment can be significantly improved. Compared with traditional chemical control methods, this physical control method is more environmentally friendly and safe, reducing the amount of pesticides used and the impact of pesticide residues on agricultural products and the environment. By reasonably selecting and adjusting the wavelength and light intensity of the LED light source, precise control of different types of pests can be achieved, improving the efficiency and effect of control. It is worth mentioning that research data shows that blue light at 450nm and green light at 520nm have an auxiliary effect on the egg development of natural enemy insects, the growth of adults and egg laying. The number of eggs laid by natural enemy insects under the light intensity of blue light at 450nm and green light at 520nm is about 20% higher than that under natural light intensity, thus realizing the synergistic pest control effect between physical control and biological control, greatly shortening the pest control cycle and improving the efficiency of pest control.

[0022] 3. Through the combination of a camera and an AI algorithm, automatic identification and real-time monitoring of pest species and quantities are achieved, avoiding the inefficiency and errors of manual monitoring. The central controller automatically adjusts the working state of the control module according to the real-time monitoring data, improving the accuracy and efficiency of control, reducing the use of chemical pesticides, and enhancing the safety of agricultural products. Compared with the existing technology, the solution of this application can comprehensively cover various pests in the greenhouse, achieve precise pest control, and solve problems such as poor effect of traditional chemical control methods and serious pesticide residues.

[0023] The pest data is recorded by the data storage unit and stored. The data processing unit analyzes based on the stored historical data to obtain the occurrence pattern of pests. Based on these patterns, a warning report is generated. The warning report is transmitted to the LED display screen and / or mobile phone APP and / or text message to notify the user through the remote communication module. The implementation of this technical solution enables users to timely understand the occurrence of pests and take corresponding control measures.

[0024] The core of the technical solution of this application lies in the collaborative work of the data storage unit and the data processing unit, analyzing historical data, generating early warning reports, and transmitting early warning information to users through the remote communication module. The data storage unit can use conventional storage devices such as hard disks and solid-state drives. The data processing unit can utilize existing computer processors and algorithms for data analysis. The remote communication module can send early warning information to the user's terminal device, such as an LED display, a mobile phone APP, or notify the user via text message, through wireless communication technologies such as Wi-Fi and cellular networks.

[0025] Compared with the prior art, the technical solution of this application has the following advantages: By analyzing historical data, it can early warn of the occurrence of pests, improving the timeliness and effectiveness of prevention and control; The early warning report is transmitted through the remote communication module, and users can receive early warning information in a timely manner, facilitating the rapid adoption of measures; It reduces the dependence on manual monitoring and improves the prevention and control efficiency; Through intelligent data analysis and early warning, the use of chemical pesticides is reduced, enhancing the safety and quality of agricultural products.

[0026] 4. The physical control module of the pest control device further improves the pest capture efficiency by setting continuous color plates on both sides of the plant and utilizing the attraction of yellow and blue to pests. The groove structure of the color plate and the coated viscous adhesive ensure that pests are stuck once they come into contact, thereby increasing the capture rate. In this way, the physical control module can not only effectively reduce the number of pests, but also reduce the dependence of pests on chemical pesticides to a certain extent and improve the control effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is a schematic structural diagram of a specific embodiment of the present invention;

[0028] Figure 2 is a schematic structural diagram of the pest situation forecasting agency in a specific embodiment of the present invention;

[0029] Figure 3 is a schematic structural diagram of the physical control module and the biological control module in a specific embodiment of the present invention.

[0030] The drawings described herein are used to provide a further understanding of the present invention and form a part of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention.

[0031] In the drawings:

[0032] 1. Insect situation forecasting agency; 11. Light source trapping module; 12. Color plate trapping module; 13. Sex pheromone trapping module; 14. Food trapping module; 2. Multi-band LED light source; 3. Sex pheromone releasing device; 4. Natural enemy insect releasing device; 5. Microbial agent spraying device; 6. Intelligent control module; 7. LED display screen. Detailed implementation manners

[0033] In order to more clearly illustrate the overall concept of the present invention, the following will be described in detail by way of example in conjunction with the accompanying drawings of the specification.

[0034] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the protection scope of the present invention is not limited by the specific embodiments disclosed below.

[0035] In addition, in the description of the present invention, it should be understood that the orientation or positional relationships indicated by terms such as "top", "bottom", "inner", "outer", "axial", "radial", "circumferential", etc. are based on the orientation or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.

[0036] In the present invention, unless otherwise clearly defined and limited, terms such as "installation", "connection", "connection", "fixation", etc. should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or integrated; it may be a mechanical connection, an electrical connection, or a communication; it may be directly connected, or indirectly connected through an intermediate medium, and may be the internal communication of two elements or the interaction relationship between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0037] In the present invention, unless otherwise clearly defined and limited, the first feature being "on" or "under" the second feature may be that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. In the description of this specification, the description referring to terms such as "implementation manner", "embodiment", "an embodiment", "example", or "specific example", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0038] Refer toFigures 1 - 3 , a pest control device for greenhouse vegetable cultivation, includes a monitoring and early warning module, a physical control module, a biological control module, and an intelligent control module 6. The monitoring and early warning module includes a pest situation forecasting agency 1, which includes a light source trapping module 11, a color plate trapping module 12, a sex pheromone trapping module 13, and a food trapping module 14 attached to the ground, arranged in sequence from top to bottom according to pest habits; it also includes a camera and a data processing unit for photographing the image data of pests trapped by the light source trapping module 11, the color plate trapping module 12, the sex pheromone trapping module 13, and the food trapping module 14. The physical control module includes a multi-band LED light source 2 installed on the top of the greenhouse and a sex pheromone releasing device 3 slidably arranged along the depth direction of the greenhouse. The biological control module includes a natural enemy insect releasing device 4 and a microbial agent spraying device 5 slidably arranged along the depth direction of the greenhouse. The intelligent control module 6 includes a central controller, a data storage unit, and a remote communication module.

[0039] Those skilled in the art can understand that greenhouse vegetable cultivation is an important way of modern agricultural production, which can effectively control the crop growth environment and improve yield and quality. However, the high-temperature and high-humidity environment in the greenhouse also provides favorable conditions for the reproduction of pests, resulting in a large number of pest species, rapid reproduction, and serious damage. Common pests include aphids, whiteflies, thrips, spider mites, noctuid pests, etc. These pests not only directly harm vegetable growth but may also spread virus diseases, causing serious economic losses.

[0040] To solve the problems of a large number of pest species, rapid reproduction, and serious damage in the greenhouse, this application proposes a pest control device for greenhouse vegetable cultivation. The device monitors the pest situation in real time through the monitoring and early warning module, combines the physical control module and the biological control module, and the intelligent control module 6 conducts automated management, thereby achieving precise pest control.

[0041] The light source trapping module 11, the color plate trapping module 12, the sex pheromone trapping module 13, and the food trapping module 14 in the monitoring and early warning module can effectively capture different types of pests. The camera photographs the image data of the captured pests and analyzes it through the data processing unit to generate a real-time monitoring report on the pest species and quantity. The multi-band LED light source 2 and the sex pheromone releasing device 3 in the physical control module further reduce the pest quantity by adjusting the light intensity, wavelength, and sex pheromone release amount. The natural enemy insect releasing device 4 and the microbial agent spraying device 5 in the biological control module control the reproduction and spread of pests by releasing natural enemy insects and spraying microbial agents.

[0042] The intelligent control module 6 automatically adjusts the working states of the physical control module and the biological control module according to the monitoring data analyzed by the data processing unit through the central controller. The data storage unit is used to store pest data, analyze the occurrence patterns of pests based on historical data, generate early warning reports, and transmit them to the LED display 7, mobile phone APP or send text messages to notify users through the remote communication module.

[0043] The monitoring and early warning module of this application can effectively monitor the situation of various pests in the greenhouse through a combination of light source trapping, color plate trapping, sex pheromone trapping and food trapping. The combined use of the physical control module and the biological control module can not only quickly reduce the number of pests, but also control the reproduction of pests in the long term. The automated management of the intelligent control module 6 improves the efficiency and accuracy of pest control, reduces the dependence on chemical pesticides, and ensures the safety of agricultural products.

[0044] It is worth mentioning that the central controller can control the amount of sex pheromone released by the sex pheromone release device 3 according to the key areas where pests are distributed, that is, the higher the density of pests in a region, the higher the amount of sex pheromone released by the sex pheromone release device 3 in that region. After the sex pheromone attracts the pests in the release area to this area, the natural enemy insect release device 4 and the microbial agent spraying device 5 in the biological control module control the reproduction and spread of pests more precisely and efficiently by releasing natural enemy insects and spraying microbial agents. Analyzing from another perspective, when pests are concentrated in a certain area under the induction of sex pheromones, it can provide sufficient food for the released natural enemy insects, thereby promoting the growth, development and reproduction of natural enemy insects. The two cooperate with each other, greatly improving the efficiency and effect of pest control.

[0045] Furthermore, the multi-band LED light source 2 is set to blue light at 450 nm or green light at 520 nm. This technical solution is based on the pest control equipment for vegetable planting in greenhouses, which uses a multi-band LED light source 2 with a specific wavelength, namely blue light at 450 nm or green light at 520 nm. This specific wavelength of LED light source plays an important role in pest control. Blue light at 450 nm and green light at 520 nm can effectively attract and trap specific types of pests, thereby improving the control effect of the physical control module. In this way, the number of pests can be reduced, and the damage of pests to vegetables can be reduced.

[0046] Blue light at 450 nm can be used to attract aphids and whiteflies, while green light at 520 nm is more suitable for trapping thrips and spider mites. Thus, by reasonably selecting and adjusting the wavelength of the LED light source, precise trapping and control of different pests can be achieved. In addition, these LED light sources can be installed on the top of the greenhouse to cover the entire greenhouse area, so as to ensure that the light source can effectively act on all pests in the greenhouse.

[0047] The technical solution of this application can significantly improve the control effect of pest control equipment by using multi-band LED light sources 2 with specific wavelengths. Compared with traditional chemical control methods, this physical control method is more environmentally friendly and safe, reducing the amount of pesticides used and the impact of pesticide residues on agricultural products and the environment. By reasonably selecting and adjusting the wavelength and light intensity of the LED light source, precise control of different types of pests can be achieved, improving the efficiency and effect of control. It is worth mentioning that research data shows that blue light at 450 nm and green light at 520 nm have an auxiliary effect on the egg development, adult growth, and egg-laying of natural enemy insects. The number of eggs laid by natural enemy insects under the light intensity of blue light at 450 nm and green light at 520 nm is about 20% higher than that under natural light intensity, thus achieving a synergistic pest control effect between physical control and biological control, greatly shortening the pest control cycle and improving the efficiency of pest control.

[0048] The camera captures images and identifies the types and quantities of pests through AI algorithms. The data processing unit is used to analyze the monitoring data of the camera and generate a real-time monitoring report on the types and quantities of pests. The central controller automatically adjusts the working states of the physical control module and the biological control module according to the monitoring data analyzed by the data processing unit.

[0049] The camera is installed beside each trapping module in the greenhouse for capturing pest images. The image data is transmitted to the data processing unit through a wireless network. The data processing unit analyzes the pest images based on AI algorithms, identifies the types and quantities of pests, and generates a real-time monitoring report. After receiving the monitoring report, the central controller automatically adjusts the working states of the physical control module and the biological control module according to the pest data in the report. For example, the central controller can adjust the light intensity and wavelength of the multi-band LED light source 2, or drive the sex pheromone release device 3 and the natural enemy insect release device 4 to work.

[0050] The camera can use a high-definition camera to ensure the clarity and accuracy of the captured images. The AI algorithms can include image recognition technology, machine learning technology, etc. to improve the accuracy of pest identification. The data processing unit can use a high-performance processor and a large-capacity memory to ensure the speed and efficiency of data processing. The central controller can be configured with intelligent control algorithms to automatically adjust the working states of each control module according to the pest data and ensure the control effect.

[0051] Through the combination of a camera and an AI algorithm, this application realizes the automatic identification and real-time monitoring of pest species and quantities, avoiding the inefficiency and errors of manual monitoring. The central controller automatically adjusts the working state of the prevention and control module according to the real-time monitoring data, improving the accuracy and efficiency of prevention and control, reducing the use of chemical pesticides, and enhancing the safety of agricultural products. Compared with the prior art, the solution of this application can comprehensively cover various pests in the greenhouse and achieve precise pest control, solving problems such as poor effects of traditional chemical control means and serious pesticide residues.

[0052] As a preferred implementation mode of this application, the data storage unit is used to store pest data. The data processing unit analyzes the historical data recorded by the storage unit to obtain the occurrence pattern of pests, and then generates a warning report. The warning report is transmitted to the LED display screen 7 and / or the mobile phone APP and / or a text message to notify the user through the remote communication module.

[0053] The technical solution of this application records pest data through the data storage unit and stores these data. The data processing unit analyzes the stored historical data to obtain the occurrence pattern of pests. Based on these patterns, a warning report is generated. The warning report is transmitted to the LED display screen 7 and / or the mobile phone APP and / or a text message to notify the user through the remote communication module. The implementation of this technical solution enables users to timely understand the occurrence of pests and take corresponding prevention and control measures.

[0054] The core of the technical solution of this application lies in the collaborative work of the data storage unit and the data processing unit to analyze historical data, generate a warning report, and transmit the warning information to the user through the remote communication module. The data storage unit can adopt conventional storage devices such as hard disks and solid-state drives. The data processing unit can use existing computer processors and algorithms for data analysis. The remote communication module can send the warning information to the user's terminal device through wireless communication technologies such as Wi-Fi and cellular networks, such as the LED display screen 7, the mobile phone APP, or notify the user through a text message.

[0055] Compared with the prior art, the technical solution of this application has the following advantages: Through the analysis of historical data, it can early warn of the occurrence of pests, improving the timeliness and effectiveness of prevention and control; The warning report is transmitted through the remote communication module, and users can receive the warning information in a timely manner, facilitating the rapid adoption of measures; It reduces the dependence on manual monitoring and improves the prevention and control efficiency; Through intelligent data analysis and warning, it reduces the use of chemical pesticides and enhances the safety and quality of agricultural products.

[0056] As a preferred example of the physical prevention and control module, the physical prevention and control module further includes color plates continuously arranged on both sides of the plants along the depth direction of the greenhouse. The color plates are yellow and / or blue, the color plates are in a groove structure, and a viscous adhesive is coated inside the color plates.

[0057] In the greenhouse vegetable planting, the physical control module of the pest control equipment improves the pest capture efficiency by setting continuous color plates on both sides of the plants, taking advantage of the attraction of yellow and blue to pests. The grooved structure of the color plates and the coated viscous adhesive ensure that pests are stuck once they come into contact, thus increasing the capture rate. In this way, the physical control module can not only effectively reduce the number of pests, but also reduce the dependence of pests on chemical pesticides to a certain extent and improve the control effect.

[0058] There are various ways to implement the setting method of such color plates. For example, the color plates can be made of different materials, such as plastic or metal, to ensure their durability and long-term use effect. Different types of viscous adhesives can be selected, such as non-toxic and environmentally friendly adhesives, to ensure harmlessness to vegetables and the environment. The size and spacing of the color plates can be adjusted according to the specific situation of the greenhouse to achieve the best capture effect.

[0059] By adding the setting of color plates in the physical control module, this application realizes multi-level capture of pests and further improves the overall effect of pest control. Compared with the prior art, the solution of this application not only improves the pest capture efficiency, but also reduces the use of chemical pesticides and the impact of pesticide residues on the safety of agricultural products, having significant environmental and economic benefits.

[0060] This application also proposes a pest control method based on greenhouse vegetable planting, and the specific steps are as follows:

[0061] Arrange a number of monitoring and warning modules at equal intervals along the depth direction of the greenhouse. Start the light source trapping module 11, the color plate trapping module 12, the sex pheromone trapping module 13, and the food trapping module 14 attached to the ground to trap pests. The camera takes pictures and records the image data information of the trapped pests, and uploads the data information to the data processing unit. The data processing unit identifies and analyzes through the AI algorithm to obtain a real-time monitoring report on the specific types and quantities of pests. The central controller automatically adjusts the working states of the physical control module and the biological control module according to the data analyzed by the data processing unit.

[0062] The method of this application arranges a number of monitoring and early warning modules at equal intervals along the depth direction of the greenhouse, enabling comprehensive monitoring of pests throughout the greenhouse. By activating the light source trapping module 11, color plate trapping module 12, sex pheromone trapping module 13, and food trapping module 14 attached to the ground for pest trapping, different types of pests can be effectively captured. The camera records the image data information of the captured pests and uploads the data information to the data processing unit. The data processing unit uses AI algorithms to identify and analyze to obtain a real-time monitoring report on the specific types and quantities of pests, enabling accurate identification and quantity statistics of pests. The central controller automatically adjusts the working states of the physical control module and the biological control module according to the data analyzed by the data processing unit, and can take corresponding control measures according to the actual situation of the pests, improving the control effect.

[0063] Specifically, the monitoring and early warning module includes a pest situation forecasting agency 1, and the pest situation forecasting agency 1 includes a light source trapping module 11, a color plate trapping module 12, a sex pheromone trapping module 13, and a food trapping module 14 attached to the ground, which are arranged in sequence from top to bottom according to pest habits. The camera captures the image data of pests trapped by the light source trapping module 11, the color plate trapping module 12, the sex pheromone trapping module 13, and the food trapping module 14, and transmits it to the data processing unit for analysis. The physical control module includes a multi-band LED light source 2 installed on the top of the greenhouse and a sex pheromone releasing device 3 slidably arranged along the depth direction of the greenhouse. The biological control module includes a natural enemy insect releasing device 4 and a microbial agent spraying device 5 slidably arranged along the depth direction of the greenhouse. The intelligent control module 6 includes a central controller, a data storage unit, and a remote communication module.

[0064] Thus, the pest control method proposed in this application realizes accurate monitoring and effective control of pests in the greenhouse through the coordinated work of the monitoring and early warning module, the physical control module, the biological control module, and the intelligent control module 6, reduces the use of chemical pesticides, and improves the safety of agricultural products.

[0065] Furthermore, this application also proposes that the data storage unit stores pest data, and the data processing unit analyzes the historical data stored in the data storage unit to obtain the occurrence law of pests, and then generates an early warning report. In S3, both the real-time monitoring report and the early warning report analyzed by the data processing unit can be transmitted to the LED display screen 7 and / or the mobile phone APP and / or text messages to notify users through the remote communication module.

[0066] The background technology shows that the cultivation of vegetables in greenhouse is an important way of modern agricultural production, which can effectively control the crop growth environment and improve the yield and quality. However, the high-temperature and high-humidity environment in the greenhouse also provides favorable conditions for the reproduction of pests, resulting in a large number of pest species, rapid reproduction and serious damage. Common pests include aphids, whiteflies, thrips, spider mites, noctuid pests, etc. These pests not only directly damage the growth of vegetables, but also may spread virus diseases, causing serious economic losses. At present, the prevention and control of greenhouse pests mainly rely on chemical pesticides. Although chemical pesticides can quickly kill pests, there are also the following prominent problems: the prevention and control means are single and the effect is poor; it relies on manual work and the efficiency is low; the pesticide residues are serious, affecting the safety of agricultural products. Physical control and biological control technologies have gradually attracted attention, but it is difficult to achieve long-term control when used alone. Therefore, there is an urgent need for a pest control device and method that can combine physical control, biological control and intelligent management to achieve precise pest control, reduce the use of chemical pesticides and improve the safety of agricultural products.

[0067] The data storage unit stores pest data, and the data processing unit analyzes the historical data stored in the data storage unit to obtain the occurrence law of pests, and then generates a warning report. In step S3, both the real-time monitoring report and the warning report analyzed by the data processing unit can be transmitted to the LED display screen 7 and / or the mobile phone APP and / or text message to notify the user through the remote communication module. This method realizes the storage and analysis of pest data through the collaborative work of the data storage unit and the data processing unit, obtains the occurrence law of pests, and generates a warning report. The real-time monitoring report and the warning report can be transmitted to the user through the remote communication module, which is convenient for the user to timely understand the pest situation and take corresponding prevention and control measures.

[0068] Specifically, the data storage unit is used to store pest data, and the data processing unit analyzes the historical data recorded by the storage unit to obtain the occurrence law of pests and generates a warning report. The real-time monitoring report and the warning report are transmitted to the LED display screen 7 and / or the mobile phone APP and / or text message to notify the user through the remote communication module. This method can obtain the occurrence law of pests through data analysis, generate a warning report and transmit it to the user in time, so that the user can timely understand the pest situation and take corresponding prevention and control measures.

[0069] Compared with the prior art, the method proposed in this application can obtain the occurrence law of pests through data analysis, generate a warning report and transmit it to the user in time, which is convenient for the user to timely understand the pest situation and take corresponding prevention and control measures. Thus, the use of chemical pesticides is reduced, the safety of agricultural products is improved, and the problems of single prevention and control means, reliance on manual work and serious pesticide residues in the prior art are solved.

[0070] The present application also proposes that the steps for adjusting the working states of the light source trapping module 11 and the sex pheromone trapping module 13 are as follows:

[0071] Step 1: The central controller adjusts the light intensity, wavelength and light color of the multi-band LED light source 2 in the corresponding area according to the 3-5 largest pests in the pest data analyzed by each data processing unit, so that the multi-band LED light source 2 can kill the largest number of pests in the greenhouse for the first time.

[0072] Step 2: The central controller drives the sex pheromone releasing device 3 to slide along the depth direction of the greenhouse and releases the sex pheromone corresponding to the type of pests in a targeted manner according to the distribution changes of the number of pests.

[0073] Step three, the central controller drives the biological control module to slide to the sex pheromone release area and drives the natural enemy insect release device 4 to release a corresponding number of natural enemy insects according to the release amount of the sex pheromone, and drives the microbial agent spraying device 5 to spray a corresponding amount of microbial agent.

[0074] The technical solution of the present application achieves accurate trapping and prevention of pests by adjusting the working states of the light source trapping module 11 and the sex pheromone trapping module 13. Specifically, the central controller first adjusts the light intensity, wavelength and light color of the multi-band LED light source 2 according to the pest data analyzed by the data processing unit, so as to effectively trap and kill the largest number of pests. Then, the central controller drives the sex pheromone release device 3 to slide, and releases corresponding sex pheromones according to the changes in the distribution of the number of pests, so as to further trap the pests. Finally, the central controller drives the biological control module to slide to the sex pheromone release area, and drives the natural enemy insect release device 4 and the microbial agent spraying device 5 for prevention and control according to the amount of sex pheromone released.

[0075] Through the above steps, the present application realizes a multi-level, multi-means integrated control of pests, avoiding the limitations of a single control method. Specifically, the adjustment of the multi-band LED light source 2 makes the trapping effect more accurate and efficient; the release of sex pheromones further enhances the trapping effect; and the use of natural enemy insects and microbial preparations provides an environmentally friendly and sustainable control method. Therefore, the present application can not only effectively reduce the number of pests, but also reduce the use of chemical pesticides and improve the safety of agricultural products.

[0076] The present application also proposes that, in step one, the multi-band LED light source 2 is set to blue light 450nm or green light 520nm.

[0077] The technical understanding of this solution is that by setting blue or green light of a specific wavelength in Step 1, specific types of pests can be effectively trapped. Blue light at 450 nm and green light at 520 nm have different attracting effects on different pests, and selecting the appropriate wavelength can improve the trapping efficiency. By adjusting the light intensity, wavelength, and light color of the multi-band LED light source 2 through the central controller, it can effectively kill the most numerous pests in the greenhouse, thereby improving the control effect.

[0078] On the basis of understanding this solution, the implementation method of the newly added technical features is further explained. The multi-band LED light source 2 can adopt LED lamps with adjustable wavelengths. By adjusting the wavelength and light intensity of the light source through the controller, it can adapt to the trapping requirements of different pests. For example, for blue light at 450 nm, a blue light LED chip can be used, and the light intensity can be controlled by adjusting the current and voltage; for green light at 520 nm, a green light LED chip can be used and adjusted in a similar way. The central controller can automatically adjust the parameters of the light source according to the real-time monitoring data of the pest species and quantity to achieve precise trapping.

[0079] The advantages of this solution are that by setting the multi-band LED light source 2 with a specific wavelength, the trapping efficiency of pests can be improved and the number of pests can be reduced. At the same time, since physical control means are adopted, the use of chemical pesticides is avoided, the impact of pesticide residues on the safety of agricultural products is reduced, and the quality of agricultural products is improved. Compared with the existing technology, this solution can achieve precise control, reduce manual dependence, and improve the control efficiency. Through the application of the intelligent control module 6, automatic management can be realized, further enhancing the overall performance of the system.

[0080] This application also proposes to use chemical control means for auxiliary pest control, and the specific steps are as follows:

[0081] Set a threshold value in the data processing unit. When any monitoring and warning module monitors that the number of pests exceeds the threshold value, the monitoring and warning module sends an alarm message to the user, enabling the user to react quickly. By precisely spraying imidacloprid or abamectin, the application rate and application range of imidacloprid or abamectin are dynamically adjusted according to the monitoring data; record the application time to ensure that the vegetables are harvested after the safe interval period.

[0082] This solution mainly sets a threshold value. When the monitoring and warning module detects that the number of pests exceeds the set threshold value, the system will issue an alarm to remind the user to take corresponding chemical control measures. The user can precisely spray imidacloprid or abamectin according to the monitoring data provided by the system, and the application rate and application range will be dynamically adjusted according to the actual monitoring data. Recording the application time is to ensure that the vegetables are harvested after the safe interval period to guarantee the safety of agricultural products.

[0083] Specifically, the threshold is set according to the damage degree of different pests and the growth stage of vegetables. When the number of pests reaches or exceeds the threshold, the system will automatically send out an alarm message. After receiving the alarm message, the user can select the appropriate pesticide and spraying method based on the pest distribution map and the trend of quantity change provided by the system to ensure the control effect. The record of the pesticide application time is to avoid excessive pesticide residues and ensure that the vegetables are harvested after the safety interval period.

[0084] As an auxiliary measure, this chemical control method can quickly reduce the number of pests when the pest density is high, make up for the deficiencies of physical and biological control methods, and ensure the safety and efficiency of greenhouse vegetable cultivation. Compared with the existing technology, this solution reduces the amount of pesticide used, improves the control effect, and ensures the safety of agricultural products through intelligent monitoring and precise pesticide application.

[0085] What is not described in this invention can be realized by adopting or referring to the existing technology.

[0086] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments.

[0087] The above are only the embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, various modifications and changes can be made to the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the scope of the claims of the present invention.

Claims

1. A pest control device based on greenhouse vegetable planting, characterized in that: include: A monitoring and early warning module, a physical control module, a biological control module and an intelligent control module, wherein the monitoring and early warning module includes an insect monitoring and reporting mechanism, which includes a light source trapping module, a color plate trapping module, a sex pheromone trapping module and a food trapping module that are arranged in order from top to bottom according to the habits of the pests; and also includes a camera and a data processing unit for shooting image data of the pests trapped by the light source trapping module, the color plate trapping module, the sex pheromone trapping module and the food trapping module; The physical prevention module includes a multi-band LED light source arranged on the top of the greenhouse and a sex pheromone release device slidingly arranged along the depth direction of the greenhouse; The biological control module includes a natural enemy insect release device and a microbial agent spraying device that are slidably arranged along the depth direction of the greenhouse; The intelligent control module includes a central controller, a data storage unit and a remote communication module.

2. The pest control device based on greenhouse vegetable planting according to claim 1 is characterized in that: It also includes an LED display screen for displaying pest data in the greenhouse.

3. The pest control device based on greenhouse vegetable planting according to claim 1 is characterized in that: The camera captures images and identifies the types and quantities of pests through an AI algorithm, and the data processing unit is used to analyze the monitoring data of the camera and generate a real-time monitoring report on the types and quantities of pests; The central controller automatically adjusts the working states of the physical control module and the biological control module according to the monitoring data analyzed by the data processing unit.

4. The pest control device based on greenhouse vegetable planting according to claim 1 is characterized in that: The data storage unit is used to store pest data, and the data processing unit analyzes the historical data recorded by the storage unit to obtain the occurrence pattern of pests, and then generates an early warning report, which is transmitted to the LED display screen and / or mobile phone APP and / or SMS to notify the user through the remote communication module.

5. The pest control equipment based on greenhouse vegetable planting according to claim 1 is characterized in that: The physical control module also includes color plates continuously arranged on both sides of the plants along the depth direction of the greenhouse, the color plates are yellow and / or blue, the color plates are groove-shaped structures, and sticky adhesive is coated inside the color plates.

6. A pest control method based on greenhouse vegetable planting, using the pest control equipment according to any one of claims 1 to 5, characterized in that: The specific steps are as follows: S1. Arrange several monitoring and early warning modules at equal intervals along the depth direction of the greenhouse; S2, start the light source trapping module, the color plate trapping module, the sex pheromone trapping module, and the food trapping module attached to the ground to trap pests; S3. The camera records and captures image data information of pests, and uploads the data information to the data processing unit. The data processing unit uses AI algorithms to identify and analyze the specific types and quantities of pests to obtain a real-time monitoring report; S4. The central controller automatically adjusts the working status of the physical control module and the biological control module according to the data analyzed by the data processing unit.

7. A pest control method based on greenhouse vegetable planting according to claim 6, characterized in that: The data storage unit stores pest data, and the data processing unit analyzes the historical data stored in the data storage unit to obtain the occurrence pattern of pests, and then generates an early warning report. In S3, the real-time monitoring report and early warning report analyzed by the data processing unit can be transmitted to the LED display screen and / or mobile phone APP and / or SMS to notify the user through the remote communication module.

8. A pest control method based on greenhouse vegetable planting according to claim 6, characterized in that: The specific steps for adjusting the working status of the light source trapping module and the sex pheromone trapping module are as follows: Step 1: The central controller adjusts the light intensity, wavelength and light color of the multi-band LED light source in the corresponding area according to the 3-5 largest pests in the pest data analyzed by each data processing unit, so that the multi-band LED light source can kill the largest number of pests in the greenhouse for the first time; Step 2: The central controller drives the sex pheromone release device to slide along the depth direction of the greenhouse and releases the sex pheromone corresponding to the pest type according to the distribution change of the pest population; Step 3: The central controller drives the biological control module to slide to the sex pheromone release area and drives the natural enemy insect release device to release a corresponding number of natural enemy insects according to the release amount of the sex pheromone, and at the same time drives the microbial agent spraying device to spray a corresponding amount of microbial agent.

9. A pest control method based on greenhouse vegetable planting according to claim 8, characterized in that: In step one, the multi-band LED light source is set to blue light 450nm or green light 520nm.

10. A pest control method based on greenhouse vegetable planting according to claim 9, characterized in that: Chemical control methods are used to assist in pest control. The specific steps are as follows: Step 1: setting a threshold in the data processing unit. When the number of pests monitored by any monitoring and early warning module exceeds the threshold, the monitoring and early warning module sends an alarm message to the user, so that the user can respond quickly by accurately spraying imidacloprid or avermectin. The application amount and application range of imidacloprid or avermectin are dynamically adjusted according to the monitoring data. Step 2: Record the time of pesticide application to ensure that vegetables are harvested after a safe interval.

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