A large-area insect situation detection system and detection device based on infrared detection

Abstract

The application discloses a large-area pest detection system and device based on infrared detection, which adjusts the sliding of a sleeve ring to drive a first infrared detection rod and a second infrared detection rod to move and adjust a detection range, expands the detection range through a plurality of infrared imaging sensors at different positions and angles, and realizes real-time detection of pests in a large area. The system and device are characterized in that the system comprises a detection device, a signal processing module, a data analysis module and a pest reminding module, information interaction is established between the detection device and the signal processing module, information interaction is established between the signal processing module and the data analysis module, information interaction is established between the data analysis module and the pest reminding module, infrared imaging sensors are arranged on the detection device, the distribution and density of pests on crops are detected in real time, and infrared signals are transmitted to the signal processing module.

Description

Technical Field

[0001] This invention relates to a large-area insect pest detection system and device based on infrared detection. It is a system and device for large-area insect pest detection using infrared imaging technology, belonging to the field of pest control technology. In particular, it relates to a system and device that can adjust the detection range and expand the detection range by using multiple infrared imaging sensors at different positions and angles, and can be distributed over a large area to detect insect pests in real time. Background Technology

[0002] Pests not only directly affect crop growth and yield but can also lead to a decline in crop quality. Therefore, it is necessary to monitor crop pest conditions to address them promptly before they become severe, thus preventing losses. Traditional pest control methods rely mainly on manual inspections and experience-based judgment, which are not only inefficient and lack accuracy in visual identification but also difficult to achieve large-scale, real-time detection, failing to meet the needs of large-area pest monitoring. Existing pest detection devices generally use infrared sensing technology combined with image recognition technology to attract and detect pests. Their fixed structure and detection range prevent adjustment based on crop growth conditions and crop type, resulting in poor detection effectiveness.

[0003] CN117485628A discloses an automatic monitoring and control system for crop diseases and pests, including a vertical cylinder with a silo fixed to the top. An aerial monitoring mechanism is located inside the silo, comprising a fuselage, several arms fixed to the side wall of the fuselage, a brushless motor fixed to the upper surface of the arms, a rotor fixed to the output shaft of the brushless motor, and a monitoring system fixed to the fuselage. A sleeve is fixed to the inner bottom wall of the vertical cylinder, and an anti-bending rod is slidably fitted inside the sleeve. The top of the anti-bending rod extends out of the sleeve and is fixedly connected to the lower surface of the fuselage. This monitoring system utilizes a drone for inspection, with the drone carrying infrared and visible light cameras hovering to monitor crop diseases and pests below. However, it cannot identify pests located below crop leaves, resulting in inaccurate identification and the inability to perform real-time monitoring.

[0004] CN220441683U discloses an insect-attracting device for agricultural pest control, comprising a collection bucket on which several insect-attracting structures are fixedly mounted via support frames. A control box is fixed to the top of the insect-attracting structures, and an electric insect-attracting structure is fixed to the bottom of the control box, the electric insect-attracting structure being fitted over the insect-attracting structures. The device utilizes a dual attraction method combining an attractant and an insect-attracting lamp, and employs capillary action to accelerate the evaporation of the attractant. A double-layer electric insect net is used to classify and kill pests of different sizes. An infrared sensor can detect the density of nearby pests in real time, thereby controlling the insect-attracting lamp and extending its lifespan. While this device uses infrared detection technology to monitor pest density in real time, its fixed structure and detection range prevent adjustment based on crop growth, resulting in poor detection effectiveness. Summary of the Invention

[0005] To improve the above situation, the present invention provides a large-area insect infestation detection system and device based on infrared detection. This system and device adjusts the detection range by moving the first and second infrared detection rods by adjusting the up and down sliding of the adjusting collar, and expands the detection range by using multiple infrared imaging sensors at different positions and angles, which are distributed over a large area to detect insect infestations in real time.

[0006] The present invention discloses a large-area insect infestation detection system and device based on infrared detection, which is implemented as follows: The large-area insect infestation detection system based on infrared detection includes a detection device, a signal processing module, a data analysis module, and an insect infestation alert module. The feature is that information interaction is established between the detection device and the signal processing module, between the signal processing module and the data analysis module, and between the data analysis module and the pest alert module. The detection device is equipped with an infrared imaging sensor to detect the distribution and density of pests on crops in real time and transmit the infrared signal to the signal processing module. The signal processing module processes the received infrared signal, including filtering, amplification and noise reduction, and converts the processed infrared signal into a digital signal for transmission to the data analysis module. The data analysis module performs in-depth analysis and mining on the infrared signal processed by the signal processing module, extracts crop plant characteristics and pest characteristics, determines the distribution and density of pests on the plant, and transmits it to the pest alert module. After receiving the distribution and density data of the pests on the plant, the pest alert module generates a pest distribution map and issues different alarm signals according to the different pest densities to notify the control personnel to take corresponding control measures in a timely manner. Preferably, there are multiple detection devices, which are distributed in the area to perform real-time infrared detection of crop pests and transmit the infrared signals to the signal processing module respectively. Preferably, the signal processing module performs filtering, amplification, and noise reduction processing on the received multiple infrared signals respectively; and converts the processed infrared signals into digital signals for transmission to the data analysis module; The detection device consists of a limiting plate, a limiting seat, a first infrared detection rod, a first connector, a second connector, a second infrared detection rod, an adjusting seat, an adjusting collar, a detection support rod, and a positioning base. One end of the testing support rod is placed on the positioning base. Preferably, the detection support rod has a hollow structure. The adjusting collar is slidably fitted onto the detection support rod. Preferably, the adjusting collar and the detection support rod are fixed together by fastening bolts. Preferably, the adjusting collar has a sliding portion from one end to the halfway point and an adjusting portion from the halfway point to the other end, wherein the cross-sectional diameter of the adjusting portion is larger than the cross-sectional diameter of the sliding portion. Preferably, the adjusting part has multiple adjusting grooves, and the multiple adjusting grooves are arranged at equal intervals along the circumference of the adjusting part. One end of the adjusting seat is rotatably placed in the adjusting groove via a connecting shaft, and the other end of the adjusting seat is connected to one end of the second infrared detection rod. The other end of the second infrared detection rod is connected to one end of the second connecting head. Preferably, the second infrared detection rod has a hollow structure, and more than one second infrared imaging sensor is provided on the side of the second infrared detection rod. Preferably, the number of second infrared imaging sensors greater than one is arranged spirally along the second infrared detection rod. The limiting plate is located at the other end of the detection support rod, and multiple limiting grooves are opened on the side of the limiting plate. Preferably, the plurality of limiting grooves are arranged at equal intervals along the circumference of the limiting disk, and the plurality of limiting grooves correspond one-to-one with the plurality of adjusting grooves. One end of the limiting seat is rotatably placed in the limiting groove via a connecting shaft. The other end of the limiting seat is connected to one end of the first infrared detection rod, and the other end of the first infrared detection rod is connected to one end of the first connecting head. The other ends of the first connecting head and the second connecting head are rotatably connected. Preferably, the first infrared detection rod has a hollow structure, and more than one first infrared imaging sensor is disposed on the side of the first infrared detection rod. Preferably, the number of first infrared imaging sensors greater than 1 is arranged spirally along the first infrared detection rod; Furthermore, preferably, the positioning base has a hollow structure, a miniature camera is installed inside the positioning base, and an insect inlet groove is opened on the side wall of the positioning base to allow pests to pass through. Preferably, the positioning base is provided with an insect attractant for attracting pests, the insect attractant attracting pests by volatilization. Preferably, the positioning base is equipped with a sound generator, which emits sound to lure pests into the positioning base. The miniature camera and the insect infestation alert module establish information interaction; The miniature camera continuously acquires images of pests attracted into the positioning base and transmits them to the signal processing module. The signal processing module processes the received image signals, removes noise, and converts the image signals into digital signals, which are then transmitted to the data analysis module. The data analysis module analyzes the processed image signals, extracts pest image features, and transmits them to the pest alert module. The pest alert module receives and displays the pest images to help pest control personnel identify the pest species and take timely and appropriate measures. Furthermore, the detection device is also equipped with a protective cover, the center of which is detachably connected to the protective cover via a connecting ring and a limiting plate, and the edge of the protective cover is detachably connected to the first connector. The protective cover is a transparent EVA soft film. Beneficial effects

[0007] I. The pest detection system enables automatic remote detection of pest conditions and is suitable for real-time pest detection of crops over a large area.

[0008] Second, by adjusting the up and down sliding of the adjusting collar, the first infrared detection rod and the second infrared detection rod can be moved to adjust the detection range, which can adapt to different crop growth conditions and types, and has a wide range of applications.

[0009] Third, the detection range can be expanded by using multiple infrared imaging sensors at different positions and angles, avoiding blind spots and improving the effectiveness of pest detection. Attached Figure Description

[0010] Figure 1 This is a three-dimensional structural diagram of a large-area insect detection device based on infrared detection according to the present invention; Figure 2 This is a schematic diagram of the structure of a large-area insect detection device based on infrared detection according to the present invention; Figure 3 This is a schematic diagram of the structure of a large-area insect detection device based on infrared detection according to the present invention; Figure 4 This is a three-dimensional structural diagram of a large-area insect detection device based on infrared detection according to the present invention after beam convergence. Figure 5 This is a schematic diagram of the structure of Embodiment 3 of the large-area insect detection device based on infrared detection of the present invention; Figure 6 This is a three-dimensional structural diagram of Embodiment 3 of the large-area insect detection device based on infrared detection of the present invention; Attached Figure

[0011] The components are: a limiting plate (1), a limiting seat (2), a first infrared detection rod (3), a first connector (4), a second connector (5), a second infrared detection rod (6), an adjusting seat (7), an adjusting collar (8), a detection support rod (9), a positioning base (10), and a protective cover (11). Detailed Implementation Example 1

[0012] This invention discloses a large-area insect infestation detection system based on infrared detection, comprising a detection device, a signal processing module, a data analysis module, and an insect infestation alert module. The feature is that information interaction is established between the detection device and the signal processing module, between the signal processing module and the data analysis module, and between the data analysis module and the pest alert module. The detection device is equipped with an infrared imaging sensor to detect the distribution and density of pests on crops in real time and transmit the infrared signal to the signal processing module. The signal processing module processes the received infrared signal, including filtering, amplification and noise reduction, and converts the processed infrared signal into a digital signal for transmission to the data analysis module. Preferably, the signal processing module includes a preamplifier circuit module, an AD converter, a filter, and an FFT transform module. The preamplifier circuit module is connected to the AD converter, the AD converter is connected to the filter, and the filter is connected to the FFT transformation module. The infrared signal is amplified by the preamplifier circuit module to improve the signal-to-noise ratio. Then, the amplified signal is processed to remove moving average noise and then enters the filter after AD conversion. The filter performs low-pass filtering on the received waveform to remove high-frequency interference. The FFT transformation module performs FFT transformation on the waveform to obtain spectrum data. The data analysis module performs in-depth analysis and mining on the infrared signal processed by the signal processing module, extracts crop plant characteristics and pest characteristics, determines the distribution and density of pests on the plant, and transmits it to the pest alert module. Preferably, the data analysis module includes a feature extraction module and a neural network extraction module. The feature extraction module uses an edge detection method to extract features from the received spectrogram and transmits the extracted features to the pre-trained neural network extraction module. The neural network extraction module determines whether the feature is a pest or a plant based on the pre-trained parameters, so as to statistically analyze the distribution and density of pests on the plant. After receiving the distribution and density data of the pests on the plant, the pest alert module generates a pest distribution map and issues different alarm signals according to the different pest densities to notify the control personnel to take corresponding control measures in a timely manner. Preferably, there are multiple detection devices, which are distributed in the area to perform real-time infrared detection of crop pests and transmit the infrared signals to the signal processing module respectively. Preferably, the signal processing module performs filtering, amplification, and noise reduction processing on the received multiple infrared signals respectively; and converts the processed infrared signals into digital signals for transmission to the data analysis module; The detection device consists of a limiting plate (1), a limiting seat (2), a first infrared detection rod (3), a first connector (4), a second connector (5), a second infrared detection rod (6), an adjusting seat (7), an adjusting collar (8), a detection support rod (9), and a positioning base (10). One end of the testing support rod (9) is placed on the positioning base (10). Preferably, the detection support rod (9) has a hollow structure. The adjusting collar (8) is slidably fitted onto the detection support rod (9). Preferably, the positioning base (10) has at least one mounting ear on its edge. Preferably, the adjusting collar (8) and the detection support rod (9) are fixed together by fastening bolts. Preferably, the adjusting collar (8) has a sliding portion from one end to the halfway point and an adjusting portion from the halfway point to the other end, wherein the cross-sectional diameter of the adjusting portion is larger than the cross-sectional diameter of the sliding portion. Preferably, the adjusting part has multiple adjusting grooves, and the multiple adjusting grooves are arranged at equal intervals along the circumference of the adjusting part. One end of the adjusting seat (7) is rotatably placed in the adjusting groove via a connecting shaft. The other end of the adjusting seat (7) is connected to one end of the second infrared detection rod (6), and the other end of the second infrared detection rod (6) is connected to one end of the second connector (5). Preferably, the second infrared detection rod (6) has a hollow structure, and more than one second infrared imaging sensor is provided on the side of the second infrared detection rod (6). Preferably, the number of second infrared imaging sensors greater than one is arranged spirally along the second infrared detection rod (6). The limiting plate (1) is placed at the other end of the detection support rod (9), and multiple limiting grooves are opened on the side of the limiting plate (1). Preferably, the plurality of limiting grooves are arranged at equal intervals along the circumference of the limiting disk (1), and the plurality of limiting grooves and the plurality of adjusting grooves correspond one-to-one. One end of the limiting seat (2) is rotatably placed in the limiting groove via a connecting shaft. The other end of the limiting seat (2) is connected to one end of the first infrared detection rod (3). The other end of the first infrared detection rod (3) is connected to one end of the first connector (4). The other end of the first connector (4) is rotatably connected to the other end of the second connector (5). Preferably, the first infrared detection rod (3) has a hollow structure, and the first infrared detection rod (3) has more than one first infrared imaging sensor on its side. Preferably, the number of first infrared imaging sensors greater than 1 is arranged spirally along the first infrared detection rod (3); In use, first select an appropriate number of detection devices according to the characteristics of the area (size, overall shape, etc.) and detection requirements, and install them in a suitable position. The positioning stake passes through the mounting ear for fixation. Then, slide the adjusting collar (8) up and down. The adjusting seat (7) and the second infrared detection rod (6) extend or retract with the sliding of the adjusting collar (8). At the same time, the first infrared detection rod (3) is extended or retracted through the first connector (4) and the second connector (5). According to the growth status and type of crops, adjust the first infrared imaging sensor and the second infrared imaging sensor on the first infrared detection rod (3) and the second infrared detection rod (6) to a suitable position for detection. The first infrared imaging sensor and the second infrared imaging sensor detect pests on crops. The distribution and density of pests are detected in real time, and the infrared signals are transmitted to the signal processing module. The signal processing module processes the received infrared signals, including filtering, amplification, and noise reduction, and converts the processed infrared signals into digital signals, which are then transmitted to the data analysis module. The data analysis module performs in-depth analysis and mining on the infrared signals processed by the signal processing module, extracting characteristics of crop plants and pests, determining the distribution and density of pests on the plants, and transmitting this information to the pest alert module. After receiving the data on the distribution and density of pests on the plants, the pest alert module generates a pest distribution map and issues different alarm signals based on the different pest densities, notifying pest control personnel to take appropriate control measures in a timely manner. Example 2

[0013] The difference between this embodiment and embodiment 1 is that: the positioning base (10) is a hollow structure, a miniature camera is installed inside the positioning base (10), an insect inlet slot is opened on the side wall of the positioning base (10) to allow pests to pass through, an insect attractant is installed inside the positioning base (10) to attract pests, the insect attractant attracts pests by volatilization, a sound generator is installed inside the positioning base (10) to induce pests to enter the positioning base (10) by emitting sound, and the miniature camera and the pest alert module establish information interaction; when in use, the miniature camera continuously acquires images of pests attracted into the positioning base (10) and transmits them to the pest alert module, the pest alert module receives the pest images and displays them to help pest control personnel determine the type of pest and take appropriate measures in a timely manner; Example 3

[0014] The difference between this embodiment and embodiment 1 is that the detection device is also provided with a protective cover (11). The center of the protective cover (11) is detachably connected to the connecting ring and the limiting plate (1). The edge of the protective cover (11) is detachably connected to the first connector (4). The protective cover (11) is a transparent EVA soft film. When in use, as the first infrared detection rod (3) and the second infrared detection rod (6) extend or retract, the protective cover (11) expands or retracts synchronously to protect the first infrared imaging sensor and the second infrared imaging sensor and reduce the damage they suffer from long-term exposure in the wild. The detection support rod (9) is designed with a hollow structure, which can accommodate the battery and wires to provide long-term power to the first infrared imaging sensor and the second infrared imaging sensor, enabling the first infrared imaging sensor and the second infrared imaging sensor to detect the distribution and density of pests on crops in real time. The internal wiring is more integrated, preventing the wires and batteries from being exposed in the field and causing safety risks. The positioning base (10) is designed with a number of mounting ears greater than or equal to 1 on its edge, which can be used with positioning piles or long bolts inserted into the ground to fix the positioning base (10), making the support of the positioning base (10) for the first infrared detection rod (3) and the second infrared detection rod (6) more stable, and ensuring the stability of the first infrared imaging sensor and the second infrared imaging sensor in real-time detection of the distribution and density of pests on crops. The adjusting collar (8) has a sliding part from one end to halfway point and an adjusting part from halfway point to the other end. The cross-sectional diameter of the adjusting part is larger than that of the sliding part. The sliding part has a small diameter, which makes it easy to hold the sliding part and slide it up and down to adjust the position of the first infrared detection rod (3) and the second infrared detection rod (6). The large cross-section of the adjusting plate makes the installation of the second infrared detection rod (6) more stable, thereby ensuring the stability of the first infrared imaging sensor and the second infrared imaging sensor in real-time detection of the distribution and density of pests on crops. The multiple limiting grooves are arranged at equal intervals along the circumference of the limiting plate (1). The design of the multiple limiting grooves and the multiple adjusting grooves corresponding one-to-one enables the installation of multiple first infrared detection rods (3) and second infrared detection rods (6) as needed to detect the distribution and density of pests on crops in real time, with a wider detection range. The design of the first infrared imaging sensor (more than 1) being spirally arranged along the first infrared detection rod (3) and the second infrared imaging sensor (more than 1) being spirally arranged along the second infrared detection rod (6) enables the sensing angles and positions of the multiple first infrared imaging sensors and the second infrared imaging sensors to be different, thereby increasing the detection range, avoiding detection dead zones, and providing more accurate feedback on the distribution and density of pests on crops. The detection range can be adjusted by moving the first infrared detection rod (3) and the second infrared detection rod (6) together through the up-and-down sliding of the adjusting collar (8). The detection range can be expanded by multiple infrared imaging sensors at different positions and angles, and the insect situation can be detected in real time over a large area.

[0015] It should be noted that, unless otherwise explicitly specified and limited, the terms "placed," "connected," and "linked" should be interpreted broadly. For example, they can refer to fixed connections such as folded edges, rivets, pins, adhesives, and welds; detachable connections such as threaded connections, snap-fit ​​connections, and hinges; integral connections; electrical connections; direct connections; or indirect connections via an intermediate medium; and can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of these terms in this invention based on the specific circumstances.

[0016] It should be further noted that, in order to keep the description simple and clear, the above specific embodiments only describe the differences between them and other embodiments. However, those skilled in the art should know that the above specific embodiments are also independent technical solutions.

Claims

1. A large-area insect infestation detection system based on infrared detection, comprising a detection device, a signal processing module, a data analysis module, and an insect infestation alert module, characterized in that: The detection device and signal processing module establish information interaction; the signal processing module and data analysis module establish information interaction; the data analysis module and pest alert module establish information interaction. The detection device is equipped with an infrared imaging sensor to detect the distribution and density of pests on crops in real time and transmit the infrared signal to the signal processing module. The signal processing module processes the received infrared signal, including filtering, amplification, and noise reduction, and converts the processed infrared signal into a digital signal for transmission to the data analysis module. The data analysis module performs in-depth analysis and mining on the infrared signal processed by the signal processing module, extracting crop plant characteristics and pest characteristics, determining the distribution and density of pests on the plant, and transmitting this information to the pest alert module. After receiving the data on the distribution and density of pests on the plant, the pest alert module generates a pest distribution map and issues different alarm signals based on the different pest densities, notifying pest control personnel to take appropriate control measures in a timely manner.

2. The large-area insect infestation detection system based on infrared detection according to claim 1, characterized in that... The signal processing module includes a preamplifier circuit module, an AD converter, a filter, and an FFT transformation module. The preamplifier circuit module is connected to the AD converter, the AD converter is connected to the filter, and the filter is connected to the FFT transformation module. The infrared signal is amplified by the preamplifier circuit module to improve the signal-to-noise ratio. Then, the amplified signal is processed to remove moving average noise before being converted by the AD converter and fed into the filter. The filter performs low-pass filtering on the received waveform to remove high-frequency interference. The FFT transformation module performs FFT transformation on the waveform to obtain spectrum data.

3. The large-area insect infestation detection system based on infrared detection according to claim 1, characterized in that... The data analysis module includes a feature extraction module and a neural network extraction module. The feature extraction module uses an edge detection method to extract features from the received spectrogram and transmits the extracted features to the pre-trained neural network extraction module. The neural network extraction module determines whether the feature is a pest or a plant based on the pre-trained parameters, so as to statistically analyze the distribution and density of pests on the plant.

4. The large-area insect infestation detection system based on infrared detection according to claim 1, characterized in that... The detection device comprises multiple devices distributed within the area to perform real-time infrared detection of crop pests and transmits the infrared signals to the signal processing module. The signal processing module performs filtering, amplification, and noise reduction on the received infrared signals and converts the processed infrared signals into digital signals for transmission to the data analysis module.

5. A large-area insect detection system based on infrared detection according to claim 1, characterized in that... The detection device comprises a limiting plate, a limiting seat, a first infrared detection rod, a first connector, a second connector, a second infrared detection rod, an adjusting seat, an adjusting collar, a detection support rod, and a positioning base. One end of the detection support rod is placed on the positioning base, and the adjusting collar is slidably fitted onto the detection support rod. The adjusting part has multiple adjusting grooves. One end of the adjusting seat is rotatably placed in the adjusting groove via a connecting shaft. The other end of the adjusting seat is connected to one end of the second infrared detection rod, and the other end of the second infrared detection rod is connected to one end of the second connector. The limiting plate is placed at the other end of the detection support rod. The side of the limiting plate has multiple limiting grooves, which are equidistantly arranged along the circumference of the limiting plate. One end of the limiting seat is rotatably placed in the limiting groove via a connecting shaft. The other end of the limiting seat is connected to one end of the first infrared detection rod, and the other end of the first infrared detection rod is connected to one end of the first connector. The other end of the first connector and the other end of the second connector are rotatably connected.

6. A large-area insect infestation detection system based on infrared detection according to claim 5, characterized in that... The detection support rod has a hollow structure, and the positioning base has at least one mounting ear on its edge.

7. A large-area insect infestation detection system based on infrared detection according to claim 5, characterized in that... The adjusting collar and the detection support rod are fixed together by fastening bolts. The adjusting collar has a sliding part from one end to halfway point and an adjusting part from halfway point to the other end. The cross-sectional diameter of the adjusting part is larger than that of the sliding part.

8. A large-area insect infestation detection system based on infrared detection according to claim 5, characterized in that... The plurality of adjustment grooves are arranged at equal intervals along the circumference of the adjustment part, and the plurality of limiting grooves and the plurality of adjustment grooves correspond one-to-one.

9. A large-area insect infestation detection system based on infrared detection according to claim 5, characterized in that... The second infrared detection rod has a hollow structure, and more than one second infrared imaging sensor is provided on the side of the second infrared detection rod. The more than one second infrared imaging sensor is arranged spirally along the second infrared detection rod.

10. A large-area insect infestation detection system based on infrared detection according to claim 5, characterized in that... The first infrared detection rod has a hollow structure, and a number greater than one first infrared imaging sensor is provided on the side of the first infrared detection rod. The number greater than one first infrared imaging sensor is arranged spirally along the first infrared detection rod.

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