Intelligent termite monitoring system

Abstract

The invention relates to the technical field of termite prevention and control, in particular to an intelligent termite monitoring system which comprises a termite monitoring device, a background server and a monitoring end, the termite monitoring device is provided with an intelligent acquisition terminal, the intelligent acquisition terminal comprises a data acquisition module, a controller and a communication module, and the data acquisition module comprises an infrared imaging module. The visible light imaging module and the formic acid sensor are used for collecting termite activity images and formic acid concentration changes in the termite monitoring device, and the controller forms collection information according to collected data and sends the collection information to the background server; the background server obtains the termite existence and termite quantity information according to the collected information to form an early warning signal, and the monitoring terminal is used for displaying the early warning signal and the image. The termite intelligent monitoring system provided by the invention solves the problem that the existing termite prevention and control technology cannot accurately, safely and stably monitor the existence of termite damage, the damage degree, dangerous cases and the like in real time.

Description

Technical Field

[0001] The invention relates to the technical field of termite prevention and control, and in particular to an intelligent termite monitoring system. Background Art

[0002] Termites are a type of insect that is widely distributed around the world and is known for its powerful destructive power and stealthiness. They not only harm crops and trees, but also eat away at the internal structures of river embankments and reservoir dams, causing leakage and collapse, and triggering serious floods.

[0003] The common methods of termite control include nest digging, grouting and trapping. The trapping method usually uses a termite luring device to lure some termites in, and then spray and inject the killing drug at the right time. The termites contaminated with the drug will bring the drug back to the nest to spread it, thereby achieving the purpose of killing.

[0004] The right time for killing is very critical. For example, spraying medicine when the number of termites is too small will not be effective. In the existing technical solutions, gravity, induction and other methods are used to trigger the spraying when the termites have eaten to a certain extent. This method seems to achieve automatic processing, but because the termites eat randomly, its actual reliability is poor. At the same time, various existing killing devices also lack online monitoring functions. After the operator deploys the termite attracting device, it is difficult to timely know the specific operation status of each termite attracting device and the termite risk situation in the area. Summary of the invention

[0005] The technical problem solved by the present invention is to provide an intelligent termite monitoring system, which can solve the problem in the prior art that the operating status and termite risk situation cannot be monitored in real time.

[0006] The basic solution provided by the present invention is:

[0007] Intelligent termite monitoring system, including:

[0008] A termite monitoring device, wherein the termite monitoring device is provided with an intelligent acquisition terminal, wherein the intelligent acquisition terminal comprises a data acquisition module, a controller and a communication module, wherein the data acquisition module comprises an image acquisition module, wherein the image acquisition module comprises a thermal imaging acquisition module and a visible light image acquisition module, wherein the thermal imaging acquisition module, the visible light image acquisition module and the communication module are all electrically connected to the controller, wherein the thermal imaging acquisition module is used to acquire images inside the termite monitoring device, and wherein the controller is used to form acquisition information according to the data acquired by the data acquisition module and send the information to a background server through the communication module;

[0009] A backend server, wherein the backend server is connected to the network of the termite monitoring device, and the backend server is used to obtain the number of termites according to the collected information, and is also used to form risk display information according to the number of termites, and send it to the monitoring end;

[0010] The monitoring end is connected to the backend server network and is used to obtain and display risk display information from the backend server.

[0011] Furthermore, the controller is used to perform image recognition on the collected images to obtain the number of termites, and the collected information includes the number of termites.

[0012] Furthermore, the collected information is an internal image of the termite monitoring device, and the background server includes a termite identification and statistics module, which is used to perform image recognition on the received image to obtain the number of termites.

[0013] Furthermore, the background server also includes an image viewing module for allowing management personnel to view image data obtained by the thermal imaging acquisition module.

[0014] Furthermore, the risk display information includes the degree of termite damage, and the degree of termite damage is displayed in different colors.

[0015] Furthermore, the hazard level includes three levels: high, medium and low. When the hazard level is low, it is displayed in green; when the hazard level is medium, it is displayed in yellow; when the hazard level is high, it is displayed in red.

[0016] Furthermore, the image recognition uses the Yolov5s recognition model to identify and count termites.

[0017] Furthermore, the collected information also includes formic acid concentration, and the data collection module also includes a formic acid sensor. The formic acid sensor is electrically connected to the controller and is used to collect the formic acid concentration in the termite monitoring device.

[0018] Furthermore, it also includes a killing decision module, which is used to determine whether the killing conditions are met based on the collected information uploaded by the termite monitoring device. If so, a killing reminder message is generated and sent to the relevant person in charge.

[0019] Furthermore, it also includes a termite development situation analysis module, which is used to form situation display information based on the collected information sent by termite monitoring devices in multiple different positions, and send it to the monitoring end for display.

[0020] The beneficial effects of the present invention are:

[0021] 1. The technical solution of the present invention integrates a thermal imaging acquisition module and a formic acid sensor in a termite monitoring device, which can comprehensively monitor termite activities and environmental changes.

[0022] 2. The backend server generates risk display information based on the collected information, and displays the degree of termite damage in real time through the monitoring terminal, using different colors to distinguish them, so that managers can quickly judge and take measures.

[0023] 3. The backend server includes a killing decision module, which can intelligently determine whether the killing conditions are met based on the collected information, and generate killing reminder information to send to the relevant person in charge.

[0024] 4. Through the termite development situation analysis module, based on the collected information sent by termite monitoring devices in multiple different locations, situation display information is formed to help managers fully understand the trend and development direction of termite activities. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a logic block diagram of the intelligent termite monitoring system according to the first embodiment of the present invention;

[0026] Figure 2 This is a schematic diagram of the structure of a termite monitoring device according to Embodiment 1 of the present invention;

[0027] Figure 3 This is a schematic diagram of the core structure of the termite monitoring device according to the first embodiment of the present invention;

[0028] Figure 4 This is a schematic structural diagram of a core body of a termite monitoring device according to Embodiment 7 of the present invention;

[0029] Figure 5 Schematic diagram of the structure of a termite monitoring device according to Embodiment 7 of the present invention. DETAILED DESCRIPTION

[0030] The following is further described in detail through specific implementation methods:

[0031] The reference numerals in the drawings of the specification include: a placement rack 101, a main attractant bar 102, an auxiliary attractant bar 103, a top plate 104, a bottom plate 105, a shell 106, a first attractant bar 201, a second attractant bar 202, a connecting line 203, and a shell 204.

[0032] Embodiment 1

[0033] like Figure 1-3 As shown, the intelligent termite monitoring system of this embodiment includes a termite monitoring device, a background server and a monitoring terminal, which are connected through a network and can transmit data to each other.

[0034] The termite monitoring device includes a device body and an intelligent collection terminal. The device body includes a shell 106. A core for attracting termites is arranged inside the shell 106. The core includes a placement frame 101, a main attracting strip 102 and an auxiliary attracting strip 103.

[0035] The placement rack 101 includes a circular top plate 104 and a bottom plate 105, which are concentrically arranged. The diameter of the top plate 104 is larger than the diameter of the bottom plate 105. The top plate 104 and the bottom plate 105 are connected by a support rod. A plurality of delivery ports are provided on the top plate 104, and a plurality of positioning grooves are provided on the bottom of the positioning grooves. Air diffusion holes are opened at the bottom of the positioning grooves. The positioning grooves are located on the inner side of the delivery ports. A space for placing the main attractant strip 102 is formed between the delivery ports and the positioning grooves. The placement rack 101 gradually shrinks from top to bottom into a cone shape.

[0036] There are 8 main attractant strips 102, which are evenly distributed on the top plate 104 and the bottom plate 105. The top end of the main attractant strip 102 is inserted into the positioning groove, and the bottom end is inserted into the delivery port. The shape and size of the delivery port and the positioning groove match the main attractant strip 102. The main attractant strip 102 is tilted inward from top to bottom, and the slope of the main attractant strip 102 is 45°.

[0037] There are eight auxiliary attractant strips 103 in a divergent shape, with their centers coinciding with the centers of the top plate 104 and the bottom plate 105 . One end of the auxiliary attractant strip 103 is located directly below the air diffusion hole, and the other end extends toward the side of the shell 106 .

[0038] like Figure 2 As shown, the shell 106 used in conjunction with the core structure is cylindrical, and the core structure is snapped into the shell 106. The bottom surface of the shell 106 is provided with drainage holes and mounting bolts, so that the shell 106 can be directly installed on the ground without setting a base. An opening is provided on the side of the shell 106 for the auxiliary attractant strip 103 to extend out, and the auxiliary attractant strip 103 can extend out of the shell 106. Because there is no base at the bottom of the shell 106, the auxiliary attractant strip 103 is close to the ground, and the opening on the shell 106 is slightly larger than the cross-sectional size of the auxiliary attractant strip 103.

[0039] The auxiliary attractant strip 103 extends out of the shell 106 and is close to the ground, which can effectively attract surrounding termites. Since the opening on the shell 106 is slightly larger than the cross-sectional size of the auxiliary attractant strip 103, termites can enter the shell 106 through the gap at the opening of the shell 106. The auxiliary attractant strip 103 is closely connected to the main attractant strip 102, and termites can smoothly climb up the main attractant strip 102. Since the main attractant strip 102 is tilted, it is more convenient for termites to climb, and the efficiency of attracting ants will be greatly improved. The main attractant strip 102 is tilted inward at a 45° angle, which increases the projection surface of the main attractant strip 102, and is more conducive to observing and monitoring the attracting situation of termites, so as to select a favorable time for killing operations.

[0040] The intelligent acquisition terminal includes a data acquisition module, a controller and a communication module. The communication module includes a wireless communication module and a wired communication module. The data acquisition module includes an image acquisition module. The image acquisition module includes a thermal imaging acquisition module and a visible light image acquisition module. The thermal imaging acquisition module, the visible light image acquisition module, the wireless communication module and the wired communication module are all electrically connected to the controller.

[0041] The thermal imaging acquisition module adopts an infrared thermal imaging camera. The thermal imaging acquisition module and the visible light image acquisition module are both arranged at the top of the shell, and the camera shooting direction is facing downward, which is used to capture images inside the shell. The intelligent acquisition terminal forms acquisition information with the collected image and other data and sends it to the background server. Specifically, in this embodiment, the controller is used to perform image recognition on the collected image and obtain the number of termites, and the acquisition information includes the number of termites. The controller uses the Yolov5s recognition model to identify termites, counts according to the recognition results, and sends the counting results to the background server through the wireless communication module. The wireless communication module can use a WIFI module, a Bluetooth module, a mobile communication module, a zigbee module, etc. In this implementation, the NB-IoT module is preferably used. The intelligent acquisition terminal sends the recognition and statistical results to the background server every preset time, such as 5 minutes, and the intelligent acquisition terminal reports data through a message queue such as an MQTT or HTTP API interface.

[0042] The backend server is used to obtain the number of termites based on the collected information, and is also used to form risk display information based on the number of termites and send it to the monitoring end; the monitoring end is used to obtain the risk display information from the backend server and display it. In this embodiment, the risk display information includes the degree of termite damage, and the degree of termite damage is displayed in different colors.

[0043] The degree of harm is represented by the harm rate. In this embodiment, the harm rate is determined according to the number of termites, and four harm levels are divided according to the harm rate: the harm rates corresponding to levels 1-4 are: 0%, 0-20%, 20-50%, and above 50% respectively; when the harm level is level 1, it is displayed in green; when the harm level is level 2, it is displayed in blue; when the harm level is level 3, it is displayed in yellow; when the harm level is level 4, it is displayed in red. At the same time, an alarm device can be set to issue a corresponding alarm reminder when the harm level is detected to be level 3 or level 4.

[0044] Embodiment 2

[0045] The difference between this embodiment and the first embodiment is that, in this embodiment, it also includes: the collected information is an internal image of the termite monitoring device, the background server includes a termite identification and statistics module, the termite identification and statistics module is used to perform image recognition on the received image to obtain the number of termites. In this implementation, the identification and statistics of termites are processed by the server, and the accuracy of identification and statistics is higher.

[0046] The backend server also includes an image viewing module, which is used for allowing management personnel to view image data obtained by the thermal imaging acquisition module.

[0047] Embodiment 3

[0048] The difference between this embodiment and the above embodiment is that, in this embodiment, the collected information also includes formic acid concentration, the data collection module also includes a formic acid sensor, the formic acid sensor is electrically connected to the controller, and is used to collect the formic acid concentration in the termite monitoring device. By collecting the formic acid concentration, the situation of the termites in the monitoring device can be more accurately obtained.

[0049] Embodiment 4

[0050] The difference between this embodiment and the above embodiment is that, in this embodiment, it also includes: an abnormality judgment module, which is used to check the number of termites uploaded by the intelligent acquisition terminal according to the formic acid concentration to determine whether there is a large difference. Specifically, the formic acid concentration can be predicted based on the number of termites entering the monitoring device, the length of time they enter, and other data. If the predicted result is significantly different from the detected formic acid concentration, it means that there is an identification error or a sensor failure. In this implementation, the formic acid concentration can be predicted based on the number of termites, the length of time they enter, and other data. The existing neural network model algorithm can be used to train the model using historically collected data as training sets and test sets, so as to achieve the prediction of formic acid concentration.

[0051] When an identification error or sensor failure is detected, the background server sends a control instruction to the corresponding intelligent collection terminal, and the intelligent collection terminal sends the internal image of the termite monitoring device to the background server. The termite identification and statistics module of the background server performs more accurate identification and statistics, and uses the statistical results as the final result to generate risk display information.

[0052] If the difference between the final result and the number of termites uploaded by the intelligent collection terminal is less than the threshold, it is judged that the formic acid sensor is faulty or the prediction model of formic acid concentration needs to be updated, and an operation and maintenance item is generated. If the operation and maintenance result is that there is no fault, the corresponding data will be saved, and a training set will be formed later to update the prediction model of formic acid concentration.

[0053] The solution of this embodiment normally uses an intelligent acquisition terminal to identify termites. There is no need to transmit images or perform identification on a background server, which can reduce the amount of data sent and the corresponding power consumption and traffic occupancy, while reducing the computing power and bandwidth requirements of the background server and reducing costs. The identification results can be verified by the formic acid concentration to avoid large identification errors caused by too low computing power of the intelligent acquisition terminal. At the same time, sensor failures can be detected and early warnings for operation and maintenance can be provided.

[0054] Embodiment 5

[0055] The difference between this embodiment and the above embodiment is that, in this embodiment, it also includes: a killing decision module, which is used to determine whether the killing conditions are met according to the collected information uploaded by the termite monitoring device, and if so, to generate a killing reminder message and send it to the relevant person in charge; in this embodiment, the killing conditions include that the corresponding hazard rate of termites is above 50%, that is, when the display screen displays a new red termite hazard level prompt message, the killing conditions are met. When the killing conditions are met, the person in charge is notified to handle it as soon as possible to improve the killing efficiency.

[0056] Embodiment 6

[0057] The difference between this embodiment and the above-mentioned embodiment is that, in this embodiment, it also includes: a termite development trend analysis module, which is used to form situation display information according to the collected information sent by the termite monitoring devices in multiple different positions, and send it to the monitoring end for display; the changes in the number of termites corresponding to the termite monitoring devices in multiple different positions are recorded to form a time series data including the number of termites in each termite monitoring device at each time point; the time series data is analyzed to obtain the termite development trend.

[0058] Embodiment 7

[0059] The difference between this embodiment and the first embodiment is that the core structure in this embodiment, such as Figure 4 As shown, it includes 4 groups of first lure bars 201 and second lure bars 202 arranged horizontally, and a connection net composed of a plurality of connection lines 203. The first lure bars 201 and the second lure bars 202 are provided with mounting grooves, and the first lure bars 201 and the second lure bars 202 are fixed on the connection net through the mounting grooves. The first lure bars 201 and the second lure bars 202 are L-shaped, the first lure bars 201 and the second lure bars 202 are perpendicular to each other, and the second lure bar 202 is overlapped on the first lure bar 201. Multiple groups of first lure bars 201 and second lure bars 202 are arranged in a staggered inward retreating manner, and the outer ends of the first lure bars 201 and the second lure bars 202 (the outer ends of the first lure bars 201 and the second lure bars 202 refer to the ends of the first lure bars 201 and the second lure bars 202 that are not overlapped) can all extend out of the housing 204.

[0060] like Figure 5 As shown, the shell 204 used in conjunction with the core structure is in a rectangular shape, the first attractant strip 201 and the second attractant strip 202 are parallel to the two sides of the shell 204, the side surfaces of the first attractant strip 201 and the second attractant strip 202 are snapped into the inner wall of the shell 204, and the shell 204 is fixed to a wall by screws, and the two opposite sides of the shell 204 and the outer ends of the first attractant strip 201 and the second attractant strip 202 are in a grid shape, and the outer ends of the four groups of the first attractant strip 201 and the second attractant strip 202 extend out of the grid gaps and can directly contact the wall surface, because the outer ends of the first attractant strip 201 and the second attractant strip 202 can both extend out of the shell 204, there is a certain gap between the shell 204 and the wall surface, forming a channel for termites to enter.

[0061] The design concept of the core structure in conjunction with the outer shell 204 is as follows:

[0062] The outer ends of the first attractant strip 201 and the second attractant strip 202 extend out of the outer shell 204 and are close to the wall, which can effectively attract termites hidden in the gaps of the house. Since there is a certain gap between the outer shell 204 and the wall, termites can enter the outer shell 204 through the gap between the outer shell 204 and the wall, and then the termites will enter the core structure along the outer ends of multiple groups of first attractant strips 201 and second attractant strips 202. Multiple groups of first attractant strips 201 and second attractant strips 202 are arranged in an offset inward-recessed manner. Most of the side surfaces of the first attractant strips 201 and the second attractant strips 202 can be projected toward the top surface, which is convenient for observing and monitoring the termite attraction situation from the cover on the top of the outer shell 204, and timely discovering new termite colonies or activity areas.

[0063] The above are only embodiments of the present invention. Common knowledge such as the known specific structures and characteristics in the scheme is not described in detail here. Ordinary technicians in the relevant field know all the common technical knowledge in the technical field to which the invention belongs before the application date or priority date, can obtain all the existing technologies in the field, and have the ability to apply conventional experimental means before that date. Ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the scope of protection of the present invention, and these will not affect the effect of the implementation of the present invention and the practicality of the patent. The scope of protection required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to interpret the content of the claims.

Claims

1. Intelligent termite monitoring system, characterized by: include: A termite monitoring device, wherein the termite monitoring device is provided with an intelligent acquisition terminal, wherein the intelligent acquisition terminal comprises a data acquisition module, a controller and a communication module, wherein the data acquisition module comprises an image acquisition module, wherein the image acquisition module and the communication module are both electrically connected to the controller, wherein the image acquisition module is used to acquire images inside the termite monitoring device, and wherein the controller is used to form acquisition information according to the data acquired by the data acquisition module and send the information to a background server through the communication module; A backend server, wherein the backend server is connected to the network of the termite monitoring device, and the backend server is used to obtain the number of termites according to the collected information, and is also used to form risk display information according to the number of termites, and send it to the monitoring end; The monitoring end is connected to the backend server network and is used to obtain and display risk display information from the backend server.

2. The intelligent termite monitoring system according to claim 1, characterized in that: The controller is used to perform image recognition on the collected images to obtain the number of termites, and the collected information includes the number of termites.

3. The intelligent termite monitoring system according to claim 1, characterized in that: The collected information is an internal image of the termite monitoring device. The backend server includes a termite identification and statistics module, and the termite identification and statistics module is used to perform image recognition on the received image to obtain the number of termites.

4. The intelligent termite monitoring system according to claim 1, characterized in that: The backend server also includes an image viewing module, which is used for allowing management personnel to view the image data obtained by the image acquisition module.

5. The intelligent termite monitoring system according to claim 1, characterized in that: The risk display information includes the degree of termite damage, and the degree of termite damage is displayed in different colors.

6. The intelligent termite monitoring system according to claim 5, characterized in that: The hazard level includes three levels: high, medium and low. When the hazard level is low, it is displayed in green; when the hazard level is medium, it is displayed in yellow; when the hazard level is high, it is displayed in red.

7. The intelligent termite monitoring system according to claim 2 or 3, characterized in that: The image recognition uses the Yolov5s recognition model to recognize and count termites.

8. The intelligent termite monitoring system according to claim 1, characterized in that: The collected information also includes formic acid concentration, and the data collection module also includes a formic acid sensor. The formic acid sensor is electrically connected to the controller and is used to collect the formic acid concentration in the termite monitoring device.

9. The intelligent termite monitoring system according to claim 1, characterized in that: It also includes a killing decision module, which is used to determine whether the killing conditions are met based on the collected information uploaded by the termite monitoring device. If so, a killing reminder message is generated and sent to the relevant person in charge.

10. The intelligent termite monitoring system according to claim 1, characterized in that: It also includes a termite development situation analysis module, which is used to form situation display information based on the collected information sent by termite monitoring devices in multiple different positions, and send it to the monitoring end for display.

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