Termite nest orientation prediction method and system based on water conservancy dam protection

Abstract

The application discloses a termite nest direction prediction method and system based on water conservancy project dam protection, and comprises the following steps: determining a termite nest monitoring area; dispersively digging a linear tunnel according to the determined termite nest monitoring area; dispersively filling a resistance layer based on the linear tunnel; continuing to arrange a monitoring pipeline assembly based on the linear tunnel, and determining a predicted nest direction through the monitoring pipeline assembly in cooperation with the resistance layer, so as to form a preferential detection range. The technical problem that the construction site is a muddy ground surface, the site road becomes muddy when it rains, and thus the mechanical vehicle is difficult to walk, and the construction progress is affected is solved.

Description

Technical Field

[0001] This invention relates to the field of termite control technology for dikes, and more specifically, to a method and system for predicting the location of termite nests based on the protection of dikes in water conservancy projects. Background Technology

[0002] Currently, dams are a crucial component of water conservancy projects, and their safety is of paramount importance. Termites nesting inside dams can severely damage their structure, compromise their strength and stability, and increase the risk of dam failure.

[0003] Currently, manual observation is the commonly used basic method for detecting termite nests in dikes. This method relies primarily on professionals who, based on experience, examine the dike surface for signs of termite activity such as mud deposits, mud lines, and swarming holes to deduce the nest's location. However, because termites typically live underground, some nests leave no obvious trace on the dike surface, making it easy to miss some nests and resulting in poor accuracy. Furthermore, manual observation is greatly affected by environmental factors such as weather and lighting, leading to low detection efficiency and making it difficult to maintain large-scale, long-distance, real-time, comprehensive, and efficient monitoring operations. Summary of the Invention

[0004] To address these issues, this invention provides a method and system for predicting the location of termite nests based on the protection of embankments in water conservancy projects. This system aims to solve the technical problems of poor accuracy, low detection efficiency, and difficulty in maintaining large-scale, long-distance, real-time, comprehensive, and efficient monitoring operations when monitoring termite nests in existing technologies.

[0005] To achieve the above objectives, the present invention provides the following technical solution:

[0006] A method for predicting the location of termite nests based on the protection of dikes in water conservancy projects includes the following steps:

[0007] Identify the termite nest monitoring area;

[0008] Based on the identified termite nest monitoring areas, linear tunnels were excavated in a decentralized manner.

[0009] Based on a linear tunnel-based distributed filling resistance layer;

[0010] Continue to deploy monitoring pipeline components based on linear tunnels, and use the monitoring pipeline components in conjunction with the resistance layer to determine the predicted location of nests, thereby forming a priority detection range.

[0011] Based on the above technical solution, the present invention is further described as follows:

[0012] As a further aspect of the present invention,

[0013] The determination of the termite nest monitoring area specifically includes:

[0014] Based on the detection and observation results, a monitoring center point corresponding to the termite distribution area is proposed, and the current termite nest monitoring area is determined based on the monitoring center point along a circumferential radius of 2 to 8 meters.

[0015] The method of excavating linear tunnels in a decentralized manner based on the identified termite nest monitoring area specifically includes:

[0016] Based on the proposed monitoring center point, extend and excavate the barrier layer linear tunnels along six directions with mutual 60° angles, and continue to excavate monitoring linear tunnels at the midpoint of the opening angle formed by two adjacent sets of barrier layer linear tunnels, forming six sets of monitoring linear tunnels with mutual 60° angles.

[0017] The extension length of each set of linear tunnels in the barrier layer is set to be 2-8m to flexibly adapt to the excavable extension distance of the dam body in each direction. The depth range is 0.5-2m to flexibly adapt to the activities of the main termite species distributed in different areas and their underground nesting depth. The width is set to be no less than 0.1m. Meanwhile, the extension length of each set of monitoring linear tunnels is set to be 1-4m, the depth to be 0.5-2m, and the width to be no less than 0.1m.

[0018] As a further aspect of the present invention,

[0019] The linear tunnel-based distributed filling resistance layer specifically includes:

[0020] Each group of linear tunnels corresponding to the barrier layer is filled with sand and gravel. The sand and gravel layer is then longitudinally compacted so that the overall height of the sand and gravel layer after filling is 0.2m from the ground. This utilizes the hard texture and micropores of the sand and gravel layer as a barrier layer 1 for termite movement. At the same time, the compacted state of the sand and gravel layer avoids the loss of pressure in the dam due to excavation, thus ensuring the stability of the dam.

[0021] Continue to fill the embankment soil layer with sand and gravel based on the linear tunnels of each group of barrier layers and compact it. The overall filling depth of the embankment soil layer is maintained in the range of 0.2 to 0 m, so as to maintain the basic topography by utilizing the embankment soil layer.

[0022] As a further aspect of the present invention,

[0023] The process of continuing to deploy monitoring pipeline components based on linear tunnels, and using these components in conjunction with a resistance layer to determine the predicted location of nests, thereby forming a priority detection range, specifically includes:

[0024] At least three sets of monitoring pipeline components are arranged vertically at uniform intervals for each group of monitoring linear tunnels, and the embankment soil layer is filled and compacted for each group of monitoring linear tunnels after the arrangement is completed.

[0025] The monitoring pipeline assembly is configured as an extension tube with built-in bait and an infrared monitoring container connected thereto. One end of the extension tube is located on the opening side of the opening angle formed by two adjacent sand and gravel layers, and the other end of the extension tube is located on the corner side of the opening angle formed by two adjacent sand and gravel layers. The other end of the extension tube is connected to the infrared monitoring container.

[0026] By utilizing the bilateral resistance of two adjacent sand and gravel layers to establish a limiting and guiding effect for termites, termites from nests in different directions are more likely to reach the opening angle corresponding to that direction. Furthermore, bait is specifically tailored to attract termites active at corresponding heights through extended tubes at different heights. Simultaneously, based on the number of termites jointly monitored by infrared monitoring containers located inside the same opening angle, the direction corresponding to that opening angle is counted as the predicted nest location for the same number of termites. Predicted nest locations where the number of termites exceeds a preset monitoring threshold are designated as priority detection ranges, with a maximum distance of 50m from the infrared monitoring container.

[0027] As a further aspect of the present invention,

[0028] The process of continuing to deploy monitoring pipeline components based on linear tunnels, and using these components in conjunction with a resistance layer to determine the predicted location of nests, thereby forming a priority detection range, specifically includes:

[0029] Longitudinal feeding pipelines are buried in the upper part of the embankment soil layer corresponding to each group of monitoring linear tunnels. The longitudinal feeding pipelines can be closedly connected between the uppermost group of monitoring pipeline components and the ground.

[0030] At least three sets of monitoring pipeline components are connected to inclined feed pipelines. The channels between at least two sets of inclined feed pipelines and between them and the longitudinal feed pipelines are arranged in a cross-type local correspondence. The bait is applied in a differentiated manner from the longitudinal feed pipeline according to the detected termite species. The bait is then automatically distributed to different sets of monitoring pipeline components through the locally corresponding inclined feed pipelines. Alternatively, at least three sets of monitoring pipeline components are connected to longitudinal feed pipelines. At least two sets of longitudinal feed pipelines are arranged in the same direction as the longitudinal feed pipelines. The inlet of at least two sets of longitudinal feed pipelines is fixed with a feed guide mesh. The inner diameter of the mesh of the at least two sets of feed guide meshes arranged from top to bottom decreases sequentially. By feeding bait with progressively increasing particle size, the bait is automatically distributed based on the blocking effect of the feed guide mesh.

[0031] As a further aspect of the present invention, the following steps are also included:

[0032] Continue to excavate sloping bottom tunnels according to the interior of the adjacent resistance layer and both sides of the monitoring pipeline assembly, and arrange moisture control pipeline assemblies for adjusting soil moisture according to the sloping bottom tunnels.

[0033] Specifically, it includes:

[0034] Continue to excavate sloping bottom tunnels according to the interior of the opening angle formed by the two adjacent sets of sand and gravel layers and the two sides of the corresponding monitoring pipeline components. The bottom surface of the sloping bottom tunnel inside each set of opening angles is gradually expanded outward and inclined deeper towards the opening side. The extension length of the sloping bottom tunnel ranges from 1 to 8m, the depth of the lowest point of the tunnel ranges from 0.5 to 2m, and the width is not less than 0.1m.

[0035] A humidity control pipeline assembly for adjusting soil moisture is arranged correspondingly on the bottom surface of the sloping tunnel. The humidity control pipeline assembly is set as a water supply pipe, which extends along the bottom surface of the sloping tunnel. One end of the water supply pipe is connected to a control valve, and the other end is sealed. The inside of the water supply pipe is uniformly filled with non-woven fabric water collecting rods. The control valve, in conjunction with a humidity monitoring sensor, provides controllable water supply to the inside of the water supply pipe in real time. At the same time, the water collecting characteristics of the non-woven fabric water collecting rods are used to ensure that the water is preferentially and evenly transported through the non-woven fabric water collecting rods. Furthermore, based on the overflowing state of the non-woven fabric water collecting rods, water is evenly seeped into the dam soil layer through the water supply pipe. This allows the dam soil layer on both sides of the extended pipe to maintain a predetermined humidity range. With the help of the water-finding characteristics of termites, the water is more easily concentrated on both sides of the extended pipe where the water is more densely distributed. The water then gradually moves closer to the extended pipe through the water supply pipe, improving the overall guiding efficiency.

[0036] As a further aspect of the present invention, the following steps are also included:

[0037] Construct several azimuth prediction systems formed by the above-mentioned resistance layers and monitoring pipeline components, and predict the detection range in sequence based on the number of monitoring units in each azimuth prediction system.

[0038] Specifically, it includes:

[0039] Further construct several azimuth prediction systems in conjunction with the aforementioned resistance layers and monitoring pipeline components. Several azimuth prediction systems include a lateral prediction system group a with lateral intervals and a longitudinal prediction system group b with longitudinal intervals. The lateral ends of the lateral prediction system group a and the lateral ends of the longitudinal prediction system group b are staggered and longitudinally corresponding. The longitudinal ends of the lateral prediction system group a and the longitudinal ends of the longitudinal prediction system group b are staggered and laterally corresponding.

[0040] The maximum activity distance of termites is set to 30-50m. Based on the monitoring center points of several directional prediction systems, a maximum activity range line c with a radius of 50m is proposed for each of them. At the same time, based on the termite counts monitored and counted by several directional prediction systems within a specific period, the directional prediction system with the largest termite count and its adjacent directional prediction systems are selected and determined. The termite count ratio x between the two adjacent directional prediction systems is further calculated. A line d is established between the monitoring center points of the two adjacent directional prediction systems. At the same time, an intersection point g is taken corresponding to the maximum activity range line c of the directional prediction system with the largest termite count. Lines e and f are established between the intersection point g and the monitoring center points of the two adjacent directional prediction systems, and the ratio of the angle between the line ed and the line fd is equal to the termite count ratio x. Thus, the location of the intersection point g is used as the predicted location of the termite nest to form a priority detection range. Then, the detection range is predicted sequentially based on the directional prediction systems ranked by termite count.

[0041] When the number of termites monitored by two adjacent directional prediction systems is equal, the intersection point h of the maximum activity range line c corresponding to the two adjacent directional prediction systems is directly used as the predicted directional point to form the detection range.

[0042] A termite nest location prediction system based on the aforementioned termite nest location prediction method for dam protection in water conservancy projects, the location prediction system comprising:

[0043] The area determination module is used to determine the monitoring area for termite nests;

[0044] The tunnel construction module is used to excavate linear tunnels in a decentralized manner based on the identified termite nest monitoring area;

[0045] Resistance layer filling module for use in a distributed filling of resistance layers based on linear tunnels;

[0046] The detection range prediction module is used to continue to deploy monitoring pipeline components based on the linear tunnel, and to determine the predicted location of the nest by cooperating with the resistance layer through the monitoring pipeline components, thereby forming a priority detection range.

[0047] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the method.

[0048] A computer-readable storage medium having stored thereon computer program instructions that, when executed by a processor, implement the method.

[0049] The present invention has the following beneficial effects:

[0050] 1. Highly efficient and accurate positioning: Based on the monitoring center point, a comprehensive prediction system is built within a specific radius area. By counting the number of infrared monitoring containers, the location of the nest can be accurately determined, which significantly improves the overall positioning efficiency compared to traditional manual observation methods.

[0051] 2. Ensuring dam safety: The sand and gravel layer inside the corresponding tunnel acts as a resistance layer for termites, effectively blocking termites and guiding them while filling dam cavities and preventing leakage risks.

[0052] 3. Flexible bait delivery: Equipped with longitudinal feeding pipes and either diagonal or longitudinal feeding pipes. Suitable bait can be delivered from the longitudinal feeding pipes according to the termite species. With the help of pipe intersections or feeding mesh, the bait is automatically distributed to meet the preferences of different termites, enhancing the attraction effect and improving monitoring reliability.

[0053] 4. Optimize termite guidance: By excavating sloping tunnels and installing humidity control pipe components, water can be replenished in real time based on humidity monitoring. This utilizes the termites' water-seeking habits to guide them to the vicinity of the extension pipes, thereby assisting in the accurate location of the nest and improving guidance efficiency.

[0054] 5. Comprehensive prediction system: By constructing a horizontal and vertical prediction system group, setting the range line according to the maximum activity distance of termites, and obtaining the predicted location of nests based on the number and proportion of termites monitored by each system, it can effectively delineate the priority detection range as needed, making it more targeted for the prevention and control of large-area dikes. Attached Figure Description

[0055] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. The structures, proportions, sizes, etc., drawn in this specification are only used to complement the content disclosed in the specification, so that those skilled in the art can understand and read them. Any modifications to the structure, changes in the proportional relationships, or adjustments to the size, without affecting the effects and objectives that the present invention can produce, should still fall within the scope of the technical content disclosed in the present invention.

[0056] Figure 1 This is a schematic diagram of the overall process of a termite nest location prediction method based on the protection of water conservancy engineering dams, provided in an embodiment of the present invention.

[0057] Figure 2 This is a top-view schematic diagram of the location prediction system in the termite nest location prediction method based on the protection of water conservancy engineering dams provided in the embodiments of the present invention.

[0058] Figure 3This is a schematic diagram of the internal state of the orientation prediction system in the termite nest orientation prediction method based on the protection of water conservancy dams provided in the embodiments of the present invention.

[0059] Figure 4 This is one of the cross-sectional schematic diagrams of the material feeding arrangement in the termite nest location prediction method based on the protection of water conservancy engineering dams provided in the embodiments of the present invention.

[0060] Figure 5 This is the second cross-sectional schematic diagram of the material feeding arrangement in the termite nest location prediction method based on the protection of water conservancy engineering dams provided in the embodiments of the present invention.

[0061] Figure 6 This is a top view diagram of the humidity control pipeline component in the termite nest location prediction method based on the protection of water conservancy engineering dams provided in the embodiments of the present invention.

[0062] Figure 7 This is an isometric internal state diagram of the humidity control pipeline component in the termite nest location prediction method based on dam protection of water conservancy projects provided in the embodiments of the present invention.

[0063] Figure 8 This is a cross-sectional internal view of the humidity control pipeline component in the termite nest location prediction method based on dam protection of water conservancy projects provided in the embodiments of the present invention.

[0064] Figure 9 This is a top-view schematic diagram of several orientation prediction systems constructed in the termite nest location prediction method based on the protection of water conservancy engineering dams provided in the embodiments of the present invention.

[0065] Figure 10 This is a schematic diagram illustrating the architecture of a termite nest location prediction system based on the protection of water conservancy engineering dams, provided in an embodiment of the present invention.

[0066] Figure 11 This is a schematic diagram of the physical structure of an electronic device according to an embodiment of the present invention.

[0067] The attached diagram lists the components represented by each number as follows:

[0068] Resistance layer 1;

[0069] Monitoring pipeline assembly 2: extension hole pipe 21, infrared monitoring container 22, longitudinal feeding pipeline 23, inclined guiding pipeline 24, longitudinal guiding pipeline 25, guiding mesh 26;

[0070] 3. Soil layer of the dam;

[0071] Humidity control piping assembly 4: water inlet pipe 41, regulating valve body 42, non-woven fabric water collection rod 43;

[0072] Area Determination Module 10; Tunnel Construction Module 20; Resistance Layer Filling Module 30; Detection Range Prediction Module 40;

[0073] Electronic device 50: processor 501, memory 502, internal bus 503. Detailed Implementation

[0074] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0075] The terms "upper," "lower," "left," "right," and "middle" used in this specification are merely for clarity of description and are not intended to limit the scope of the invention. Any changes or adjustments to their relative relationships, without substantially altering the technical content, should also be considered within the scope of the invention.

[0076] like Figures 1 to 9 As shown, this embodiment of the invention provides a method for predicting the location of termite nests based on the protection of dikes in water conservancy projects, specifically including the following steps:

[0077] S1: Determine the termite nest monitoring area;

[0078] The specific process is as follows: Based on the detection and observation results, a monitoring center point corresponding to the termite distribution area is proposed, and the current termite nest monitoring area is determined based on the monitoring center point along a circumferential radius of 2 to 8 meters.

[0079] S2: Based on the identified termite nest monitoring area, dig linear tunnels in a decentralized manner;

[0080] The specific process is as follows: Based on the proposed monitoring center point, extend and excavate the barrier layer linear tunnels along six directions with mutual 60° angles, and continue to excavate monitoring linear tunnels at the middle position of the opening angle formed by two adjacent sets of barrier layer linear tunnels, forming six sets of monitoring linear tunnels with mutual 60° angles.

[0081] The extension length of each set of linear tunnels in the barrier layer is set to be 2-8m to flexibly adapt to the excavable extension distance of the dam body in each direction. The depth range is 0.5-2m to flexibly adapt to the activities of the main termite species distributed in different areas and their underground nesting depth. The width is set to be no less than 0.1m. Meanwhile, the extension length of each set of monitoring linear tunnels is set to be 1-4m, the depth to be 0.5-2m, and the width to be no less than 0.1m.

[0082] S3: Please refer to Figure 2 and Figure 3 Based on the linear tunnel distributed filling resistance layer 1;

[0083] The specific process is as follows: each group of linear tunnels corresponding to the barrier layer is filled with sand and gravel layers, and then the sand and gravel layers are longitudinally compacted so that the overall height of the sand and gravel layers after filling is 0.2m from the ground. In this way, the hard texture and micro-pores of the sand and gravel layers are used as the resistance layer 1 for termite movement. At the same time, the compacted state of the sand and gravel layers avoids the loss of pressure in the internal cavities of the dam caused by excavation, thus ensuring the stability of the dam.

[0084] Continue to fill the embankment soil layer 3 with sand and gravel based on the linear tunnels of each group of barrier layers and compact it. The overall filling depth of the embankment soil layer 3 is maintained in the range of 0.2 to 0 m, so as to maintain the basic topography by using the embankment soil layer 3.

[0085] S4: Please refer to Figure 3 and Figure 4 Continue to deploy monitoring pipeline components 2 based on linear tunnels, and determine the predicted nest location by cooperating with the resistance layer 1 through the monitoring pipeline components, thereby forming a priority detection range;

[0086] The specific process is as follows: At least three sets of monitoring pipeline components 2 are arranged vertically at uniform intervals for each group of monitoring linear tunnels, and after the arrangement is completed, the embankment soil layer 3 is filled and compacted for each group of monitoring linear tunnels.

[0087] The monitoring pipeline assembly 2 is configured as an extension tube 21 with built-in bait and an infrared monitoring container 22 connected thereto. One end of the extension tube 21 is located on the side of the opening angle formed by two adjacent sand and gravel layers, and the other end of the extension tube 21 is located on the side of the corner of the opening angle formed by two adjacent sand and gravel layers. The other end of the extension tube 21 is connected to the infrared monitoring container 22. In this way, the double-sided resistance of the two adjacent sand and gravel layers establishes a limiting and guiding effect for termites, so that termites from nests in different directions have a higher probability of reaching the opening angle corresponding to that direction. The extension tubes 21 at different heights are respectively set with bait to attract termites that are active at the corresponding height. At the same time, based on the number of termites jointly monitored by the infrared monitoring containers 22 located in the same opening angle, the direction corresponding to that opening angle is the predicted nest location of the same number of termites. The predicted nest location where the number of termites exceeds the preset monitoring threshold is set as a priority detection range with a maximum distance of 50m from the infrared monitoring container 22.

[0088] More specifically, the vertical spacing between two adjacent sets of monitoring pipeline components 2 is set to 0.1 to 0.3 m, and the arrangement depth of at least three sets of monitoring pipeline components 2 corresponds to the filling depth range of the sand and gravel layer.

[0089] An alternative implementation plan is available for your reference. Figure 3 and Figure 4 For each group of monitoring linear tunnels, longitudinal feeding pipes 23 are buried on the upper part of the embankment soil layer 3. The longitudinal feeding pipes 23 can be closedly connected between the uppermost monitoring pipe assembly 2 and the ground. At the same time, at least three groups of monitoring pipe assemblies 2 are connected to inclined feeding pipes 24. The channels between at least two groups of inclined feeding pipes 24 and between them and the longitudinal feeding pipes 23 are cross-type locally corresponding. In this way, the bait can be flexibly and differently adapted to the monitored termite species from the longitudinal feeding pipes 23, and the bait can be automatically distributed to different groups of monitoring pipe assemblies 2 through the locally corresponding inclined feeding pipes 24.

[0090] For another alternative implementation scheme, please refer to Figure 5 At least three sets of monitoring pipeline components 2 are connected to each other by a longitudinal material guiding pipeline 25. At least two sets of longitudinal material guiding pipelines 25 are arranged in the same direction as the longitudinal feeding pipeline 23. At least two sets of longitudinal material guiding pipelines 25 are fixed with a material guiding mesh 26 at their inlet positions. The inner diameter of the mesh of the at least two sets of material guiding mesh 26 arranged from top to bottom decreases sequentially. By feeding bait with progressively increasing particle size, the bait can be automatically distributed by the blocking effect of the material guiding mesh 26.

[0091] S5: Continue to excavate sloping bottom tunnels according to the interior of the adjacent resistance layer 1 and both sides of the monitoring pipeline assembly 2, and arrange moisture control pipeline assemblies 4 for adjusting soil moisture according to the sloping bottom tunnels.

[0092] The specific process is as follows: Please refer to... Figures 6 to 8 Continue to excavate sloping bottom tunnels according to the opening angle formed by the two adjacent groups of sand and gravel layers and the two sides of the corresponding monitoring pipeline component 2. The bottom surface of the sloping bottom tunnel inside each group of opening angles is gradually expanded outward and inclined deeper towards the opening side. The extension length of the sloping bottom tunnel is 1 to 8m, the depth of the lowest point of the tunnel is 0.5 to 2m, and the width is not less than 0.1m.

[0093] A moisture control pipeline assembly 4, designed to adjust soil moisture, is arranged correspondingly to the bottom surface of the sloping tunnel. The moisture control pipeline assembly 4 is configured as a water inlet pipe 41, extending along the bottom surface of the sloping tunnel. One end of the water inlet pipe 41 is connected to a control valve body 42, while the other end is sealed. The inside of the water inlet pipe 41 is uniformly filled with non-woven fabric water collection rods 43. Controllable water replenishment is achieved in real-time through the control valve body 42 and a humidity monitoring sensor, while simultaneously utilizing non-woven fabric... The water collection characteristics of the nonwoven fabric water collecting rod 43 allow water to be preferentially and evenly transported through the nonwoven fabric water collecting rod 43. Furthermore, based on the overflow state of the nonwoven fabric water collecting rod 43, water is evenly seeped into the dam soil layer 3 through the water replenishment pipe 41. As a result, the dam soil layer 3 on both sides of the extension pipe 21 can maintain the predetermined humidity range and, with the help of the water-finding characteristics of termites, make it easier for them to concentrate on the sides of the extension pipe 21 where the water is more densely distributed. Furthermore, they gradually approach the extension pipe 21 along the water replenishment pipe 41, thereby improving the overall guiding efficiency.

[0094] S6: Please refer to Figure 9 Construct several azimuth prediction systems formed by the aforementioned resistance layer 1 and monitoring pipeline components 2, and predict the detection range in sequence based on the monitoring quantity of each azimuth prediction system.

[0095] The specific process is as follows: Further construct several azimuth prediction systems that are coordinated by the above-mentioned resistance layer 1 and monitoring pipeline components 2. Several azimuth prediction systems include a lateral prediction system group a with a lateral interval and a longitudinal prediction system group b with a longitudinal interval. The lateral ends of the lateral prediction system group a and the lateral ends of the longitudinal prediction system group b are staggered and longitudinally corresponding. The longitudinal ends of the lateral prediction system group a and the longitudinal ends of the longitudinal prediction system group b are staggered and laterally corresponding.

[0096] The maximum activity distance of termites is set to 30-50m. Based on the monitoring center points of several directional prediction systems, a maximum activity range line c with a radius of 50m is proposed for each of them. At the same time, based on the termite counts monitored and counted by several directional prediction systems within a specific period, the directional prediction system with the largest termite count and its adjacent directional prediction systems are selected and determined. The termite count ratio x between the two adjacent directional prediction systems is further calculated. A line d is established between the monitoring center points of the two adjacent directional prediction systems. At the same time, an intersection point g is taken corresponding to the maximum activity range line c of the directional prediction system with the largest termite count. Lines e and f are established between the intersection point g and the monitoring center points of the two adjacent directional prediction systems, and the ratio of the angle between the line ed and the line fd is equal to the termite count ratio x. Thus, the location of the intersection point g is used as the predicted location of the termite nest to form a priority detection range. Then, the detection range is predicted sequentially based on the directional prediction systems ranked by termite count.

[0097] When the number of termites monitored by two adjacent directional prediction systems is equal, the intersection point h of the maximum activity range line c corresponding to the two adjacent directional prediction systems can be directly used as the predicted directional point to form the detection range.

[0098] like Figure 10 As shown, this embodiment of the invention also provides a termite nest location prediction system based on the termite nest location prediction method for water conservancy project dam protection, the system specifically including:

[0099] Area determination module 10 is used to determine the monitoring area for termite nests;

[0100] Tunnel construction module 20 is used to excavate linear tunnels in a decentralized manner according to the determined termite nest monitoring area;

[0101] Resistance layer filling module 30 is used for dispersed filling of resistance layer based on linear tunnels;

[0102] The detection range prediction module 40 is used to continue to deploy monitoring pipeline components based on the linear tunnel, and to determine the predicted location of the nest by cooperating with the resistance layer through the monitoring pipeline components, thereby forming a priority detection range.

[0103] Figure 11 This is a schematic diagram of the physical structure of an electronic device according to an embodiment of the present invention, such as... Figure 11 As shown, the electronic device 50 includes: a processor 501, a memory 502, and an internal bus 503; wherein, the processor 501 and the memory 502 communicate with each other through the internal bus 503.

[0104] The processor 501 is used to call program instructions in the memory 502 to execute the methods provided in the above-described method embodiments, such as: determining the termite nest monitoring area; digging linear tunnels in a decentralized manner according to the determined termite nest monitoring area; filling resistance layers in a decentralized manner based on the linear tunnels; continuing to arrange monitoring pipeline components based on the linear tunnels, and determining the predicted nest location through the monitoring pipeline components in conjunction with the resistance layer, thereby forming a priority detection range.

[0105] This embodiment provides a non-transitory computer-readable storage medium that stores computer instructions. The computer instructions cause the computer to execute the methods provided in the above-described method embodiments, such as: determining a termite nest monitoring area; digging linear tunnels in a decentralized manner according to the determined termite nest monitoring area; filling resistance layers in a decentralized manner based on the linear tunnels; continuing to arrange monitoring pipeline components based on the linear tunnels, and determining the predicted nest location through the monitoring pipeline components in conjunction with the resistance layer, thereby forming a priority detection range.

[0106] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various storage media capable of storing program code, such as ROM, RAM, magnetic disk, or optical disk.

[0107] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0108] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the prior art, can be embodied in the form of software products. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a server or network device, etc.) to execute the methods of each embodiment or some parts of the embodiments.

[0109] Although the present invention has been described in detail above with general descriptions and specific embodiments, modifications or improvements can be made to it, which will be obvious to those skilled in the art. Therefore, all such modifications or improvements made without departing from the spirit of the present invention fall within the scope of protection claimed by the present invention.

Claims

1. A method for predicting the location of termite nests based on the protection of embankments in water conservancy projects, characterized in that, Includes the following steps: Identify the termite nest monitoring area; Based on the identified termite nest monitoring areas, linear tunnels were excavated in a decentralized manner. Based on a linear tunnel-based distributed filling resistance layer; Continue to deploy monitoring pipeline components based on linear tunnels, and use the monitoring pipeline components in conjunction with the resistance layer to determine the predicted location of nests, thereby forming a priority detection range; The determination of the termite nest monitoring area specifically includes: Based on the detection and observation results, a monitoring center point corresponding to the termite distribution area is proposed, and the current termite nest monitoring area is determined based on the monitoring center point along a circumferential radius of 2~8m. The method of excavating linear tunnels in a decentralized manner based on the identified termite nest monitoring area specifically includes: Based on the proposed monitoring center point, extend and excavate the barrier layer linear tunnels along six directions with mutual 60° angles, and continue to excavate monitoring linear tunnels at the midpoint of the opening angle formed by two adjacent sets of barrier layer linear tunnels, forming six sets of monitoring linear tunnels with mutual 60° angles. The extension length of each set of linear tunnels in the barrier layer is set to be 2-8m to flexibly adapt to the excavable extension distance of the dam body in each direction. At the same time, the depth range is set to be 0.5-2m to flexibly adapt to the activities of the main termite species distributed in different areas and their underground nesting depth. The width is set to be no less than 0.1m. Meanwhile, the extension length of each set of monitoring linear tunnels is set to be 1-4m, the depth to be 0.5-2m, and the width to be no less than 0.1m. The linear tunnel-based distributed filling resistance layer specifically includes: Each group of linear tunnels corresponding to the barrier layer is filled with sand and gravel. The sand and gravel layer is then longitudinally compacted so that the overall height of the sand and gravel layer after filling is 0.2m from the ground. This utilizes the hard texture and micropores of the sand and gravel layer as a barrier layer 1 for termite movement. At the same time, the compacted state of the sand and gravel layer avoids the loss of pressure in the dam caused by excavation, thus ensuring the stability of the dam. Continue to fill the embankment soil layer with sand and gravel based on the linear tunnels of each group of barrier layers and compact it. The overall filling depth of the embankment soil layer is maintained in the range of 0.2~0m, so as to maintain the basic topography by utilizing the embankment soil layer.

2. The method for predicting the location of termite nests based on the protection of embankments in water conservancy projects according to claim 1, characterized in that, The process of continuing to deploy monitoring pipeline components based on linear tunnels, and using these components in conjunction with a resistance layer to determine the predicted location of nests, thereby forming a priority detection range, specifically includes: At least three sets of monitoring pipeline components are arranged vertically at uniform intervals for each group of monitoring linear tunnels, and the embankment soil layer is filled and compacted for each group of monitoring linear tunnels after the arrangement is completed. The monitoring pipeline assembly is configured as an extension tube with built-in bait and an infrared monitoring container connected thereto. One end of the extension tube is located on the opening side of the opening angle formed by two adjacent sand and gravel layers, and the other end of the extension tube is located on the corner side of the opening angle formed by two adjacent sand and gravel layers. The other end of the extension tube is connected to the infrared monitoring container. By utilizing the bilateral resistance of two adjacent sand and gravel layers to establish a limiting and guiding effect for termites, termites from nests in different directions are more likely to reach the opening angle corresponding to that direction. Furthermore, bait is specifically tailored to attract termites active at corresponding heights through extended tubes at different heights. Simultaneously, based on the number of termites jointly monitored by infrared monitoring containers located inside the same opening angle, the direction corresponding to that opening angle is counted as the predicted nest location for the same number of termites. Predicted nest locations where the number of termites exceeds a preset monitoring threshold are designated as priority detection ranges, with a maximum distance of 50m from the infrared monitoring container.

3. The method for predicting the location of termite nests based on the protection of dams in water conservancy projects according to claim 2, characterized in that, The process of continuing to deploy monitoring pipeline components based on linear tunnels, and using these components in conjunction with a resistance layer to determine the predicted location of nests, thereby forming a priority detection range, specifically includes: Longitudinal feeding pipelines are buried in the upper part of the embankment soil layer corresponding to each group of monitoring linear tunnels. The longitudinal feeding pipelines can be closedly connected between the uppermost group of monitoring pipeline components and the ground. At least three sets of monitoring pipeline components are connected to inclined feed pipelines. The channels between at least two sets of inclined feed pipelines and between them and the longitudinal feed pipelines are arranged in a cross-type local correspondence. The bait is applied in a differentiated manner from the longitudinal feed pipeline according to the detected termite species. The bait is then automatically distributed to different sets of monitoring pipeline components through the locally corresponding inclined feed pipelines. Alternatively, at least three sets of monitoring pipeline components are connected to longitudinal feed pipelines. At least two sets of longitudinal feed pipelines are arranged in the same direction as the longitudinal feed pipelines. The inlet of at least two sets of longitudinal feed pipelines is fixed with a feed guide mesh. The inner diameter of the mesh of the at least two sets of feed guide meshes arranged from top to bottom decreases sequentially. By feeding bait with progressively increasing particle size, the bait is automatically distributed based on the blocking effect of the feed guide mesh.

4. The method of termite nest orientation prediction based on hydraulic engineering dam protection according to claim 3, characterized in that, It also includes the following steps: Continue to excavate sloping bottom tunnels according to the interior of the adjacent resistance layer and both sides of the monitoring pipeline assembly, and arrange moisture control pipeline assemblies for adjusting soil moisture according to the sloping bottom tunnels. Specifically, it includes: Continue to excavate sloping bottom tunnels according to the interior of the opening angle formed by the two adjacent sets of sand and gravel layers and the two sides of the corresponding monitoring pipeline components. The bottom surface of the sloping bottom tunnel inside each set of opening angles is gradually expanded outward and inclined deeper towards the opening side. The extension length of the sloping bottom tunnel ranges from 1 to 8m, the depth of the lowest point of the tunnel ranges from 0.5 to 2m, and the width is not less than 0.1m. A humidity control pipeline assembly for adjusting soil moisture is arranged correspondingly on the bottom surface of the sloping tunnel. The humidity control pipeline assembly is set as a water supply pipe, which extends along the bottom surface of the sloping tunnel. One end of the water supply pipe is connected to a control valve, and the other end is sealed. The inside of the water supply pipe is uniformly filled with non-woven fabric water collecting rods. The control valve, in conjunction with a humidity monitoring sensor, provides controllable water supply to the inside of the water supply pipe in real time. At the same time, the water collecting characteristics of the non-woven fabric water collecting rods are used to ensure that the water is preferentially and evenly transported through the non-woven fabric water collecting rods. Furthermore, based on the overflowing state of the non-woven fabric water collecting rods, water is evenly seeped into the dam soil layer through the water supply pipe. This allows the dam soil layer on both sides of the extended pipe to maintain a predetermined humidity range. With the help of the water-finding characteristics of termites, the water is more easily concentrated on both sides of the extended pipe where the water is more densely distributed. The water then gradually moves closer to the extended pipe through the water supply pipe, improving the overall guiding efficiency.

5. The method of termite nest orientation prediction based on hydraulic engineering dam protection according to claim 4, characterized in that, It also includes the following steps: Construct several azimuth prediction systems formed by the above-mentioned resistance layers and monitoring pipeline components, and predict the detection range in sequence based on the number of monitoring units in each azimuth prediction system. Specifically, it includes: Further construct several azimuth prediction systems in conjunction with the aforementioned resistance layers and monitoring pipeline components. Several azimuth prediction systems include a lateral prediction system group a with lateral intervals and a longitudinal prediction system group b with longitudinal intervals. The lateral ends of the lateral prediction system group a and the lateral ends of the longitudinal prediction system group b are staggered and longitudinally corresponding. The longitudinal ends of the lateral prediction system group a and the longitudinal ends of the longitudinal prediction system group b are staggered and laterally corresponding. The maximum activity distance of termites is set to 30-50m. Based on the monitoring center points of several directional prediction systems, a maximum activity range line c with a radius of 50m is proposed for each of them. At the same time, based on the termite counts monitored and counted by several directional prediction systems within a specific period, the directional prediction system with the largest termite count and its adjacent directional prediction systems are selected and determined. The termite count ratio x between the two adjacent directional prediction systems is further calculated. A line d is established between the monitoring center points of the two adjacent directional prediction systems. At the same time, an intersection point g is taken corresponding to the maximum activity range line c of the directional prediction system with the largest termite count. Lines e and f are established between the intersection point g and the monitoring center points of the two adjacent directional prediction systems, and the ratio of the angle between the line ed and the line fd is equal to the termite count ratio x. Thus, the location of the intersection point g is used as the predicted location of the termite nest to form a priority detection range. Then, the detection range is predicted sequentially based on the directional prediction systems ranked by termite count. When the number of termites monitored by two adjacent directional prediction systems is equal, the intersection point h of the maximum activity range line c corresponding to the two adjacent directional prediction systems is directly used as the predicted directional point to form the detection range.

6. A termite nest location prediction system based on the termite nest location prediction method for hydraulic engineering dam protection as described in any one of claims 1-5, characterized in that, The orientation prediction system includes: The area determination module is used to determine the monitoring area for termite nests; The tunnel construction module is used to excavate linear tunnels in a decentralized manner based on the identified termite nest monitoring area; Resistance layer filling module for use in a distributed filling of resistance layers based on linear tunnels; The detection range prediction module is used to continue to deploy monitoring pipeline components based on the linear tunnel, and to determine the predicted location of the nest by cooperating with the resistance layer through the monitoring pipeline components, thereby forming a priority detection range.

7. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method as described in any one of claims 1 to 5.

8. A computer-readable storage medium having stored thereon computer program instructions, wherein, When the computer program instructions are executed by the processor, they implement the method described in any one of claims 1-5.

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