Dam foundation termite monitoring and prevention integrated intelligent device

Abstract

The application discloses a dam foundation termite monitoring and prevention integrated intelligent device, which comprises a region division module, which is configured to divide a to-be-tested dam foundation into regions according to the functional structure and geotechnical characteristics of the dam foundation, and obtain a region division result; a trapping node layout module, which is configured to create a dam foundation digital twin, set a plurality of dam foundation trapping nodes based on the dam foundation structure, termite surface activity signs and historical termite damage conditions; and a termite type module, which is configured to predict the type of termites in the to-be-tested dam foundation based on the geographical position, termite surface activity signs and historical termite damage conditions of the to-be-tested dam foundation, obtain predicted termite type information, detect termites in the to-be-tested dam foundation, identify the type of termites if termites are detected, obtain detected termite type information, and combine the predicted termite type information and the detected termite type information to form dam termite type information. The application has the effect of improving the work efficiency of dam foundation termite monitoring and prevention.

Description

Technical Field

[0001] This application relates to the field of water conservancy engineering technology, and in particular to an integrated intelligent device for monitoring and controlling termites in dam foundations. Background Technology

[0002] Currently, the dam foundation refers to the natural or treated foundation upon which the main structure (dam body) of the dam rests. Located at the very bottom of the dam, it is the contact surface between the dam body and the original riverbed, valley, or artificial foundation below, and the soil and rock layers within a certain depth below. The dam foundation is the foundation of the dam, encompassing the riverbed and the area on both banks supporting the dam body, bearing the dam's own weight and water load. The dam foundation differs from ordinary soil environments; it directly relates to the structural safety of the dam, and prevention measures must be more cautious. When the dam foundation is infested with termites, the dam faces structural safety risks. Therefore, monitoring and controlling termites in the dam foundation is crucial.

[0003] Existing integrated intelligent devices for termite monitoring and control in dam foundations employ ground-penetrating radar (GPR) to scan underground structures using electromagnetic waves, identify nest locations, and then eliminate termites from the nests through chemical injection. However, the detection accuracy of GPR in these devices is not high, resulting in limited accuracy in locating termite nests. Furthermore, chemical injection often fails to achieve complete coverage, and any remaining live termites may rebuild their nests. This leads to low efficiency in termite monitoring and control for dam foundations and warrants improvement. Summary of the Invention

[0004] To improve the efficiency of termite monitoring and control in dam foundations, this application provides an integrated intelligent device for termite monitoring and control in dam foundations.

[0005] The integrated intelligent device for monitoring and controlling termites in the dam foundation provided in this application adopts the following technical solution:

[0006] The integrated intelligent device for monitoring and controlling termites in the dam foundation includes:

[0007] The region division module is configured to divide the region based on the functional structure and geological and soil properties of the foundation of the dam to be tested, and obtain the region division results.

[0008] The trapping node deployment module is configured to create a digital twin of the dam foundation. Based on the dam foundation structure, signs of termite activity on the ground, and historical termite damage, multiple trapping nodes are set in each area and displayed on the digital twin of the dam foundation.

[0009] The termite type module is configured to predict the type of termites existing in the dam foundation to be tested based on the geographical position of the dam foundation to be tested, signs of termite surface activity, and historical termite damage, obtain predicted termite type information, detect termites in real time, determine whether termites are detected, identify the type of termites if termites are detected, and obtain detected termite type information. The predicted termite type information and the detected termite type information are combined to form dam termite type information.

[0010] The termite attraction management network creation module is configured to deploy baits in each dam foundation attraction node based on the dam termite type information to obtain node bait information, and create a termite attraction management network based on the node bait information.

[0011] The baiting and killing processing module is configured to monitor in real time whether the baits in each dam foundation attraction node are preyed on by termites, track the termites if the baits are preyed on by termites, determine whether further liquid agent infusion is needed, perform liquid agent infusion operation if needed, and perform cavity processing on the nest where the termites are located.

[0012] The display and storage module is configured to display each region of the dam foundation to be tested in real time on the dam foundation digital twin, upload the dam foundation digital twin to the blockchain system for storage, and send it to the background monitoring system.

[0013] Preferably, a structural design drawing of the dam foundation to be tested is obtained, and the dam foundation to be tested is regionally divided based on the structural design drawing of the dam foundation to be tested according to the functional structure of the dam foundation to be tested to obtain a first dam foundation division result.

[0014] The dam foundation to be tested is regionally divided according to the geological and soil characteristics of the dam foundation to be tested to obtain a second dam foundation division result.

[0015] The first dam foundation division result and the second dam foundation division result are combined to form a regional division result of the dam foundation to be tested.

[0016] Preferably, the dam foundation to be tested is photographed from multiple angles to obtain a set of dam foundation photographed images, the set of dam foundation photographed images includes a large number of photographed images of the dam foundation from multiple angles, the photographed images of the dam foundation from multiple angles are fused to obtain dam foundation image information, and a dam foundation digital twin is created based on the dam foundation image information.

[0017] Based on the structural design drawing of the dam foundation to be tested, the advantageous area for termite activity and survival in the structure of the dam foundation to be tested is determined to obtain a termite survival advantageous area.

[0018] Obtaining dam foundation scale information of the to-be-tested dam foundation, determining the first type of trapping node arrangement density information based on the dam foundation scale information of the to-be-tested dam foundation, and arranging the first type of trapping node in the termite survival favorable area, wherein the greater the dam foundation scale information of the to-be-tested dam foundation is, the smaller the first type of trapping node arrangement density is.

[0019] Arranging the first type of trapping node in the termite survival favorable area based on the first type of trapping node arrangement density information.

[0020] Preferably, whether there is termite ground activity evidence in the to-be-tested dam foundation is detected, and if there is termite ground activity evidence, the position area where the termite ground activity evidence exists is marked as a termite activity evidence area.

[0021] Detecting the activity degree of termites in the termite activity evidence area in the to-be-tested dam foundation to obtain dam foundation termite activity degree information, and determining the second type of trapping node arrangement density information based on the dam foundation termite activity degree information.

[0022] Arranging the second type of trapping node in the termite survival favorable area based on the second type of trapping node arrangement density information.

[0023] Obtaining historical termite disaster information of the to-be-tested dam foundation based on big data technology, wherein the historical termite disaster information of the to-be-tested dam foundation includes historical termite damage position information, marking the historical termite damage position information as a historical termite damage trapping node, uniformly arranging the historical termite damage position information to obtain a historical surrounding trapping node, and combining the historical termite damage trapping node and the historical surrounding trapping node to form a third type of trapping node.

[0024] The first type of trapping node, the second type of trapping node, and the third type of trapping node form a dam foundation trapping node of the to-be-tested dam foundation.

[0025] Marking and displaying the dam foundation trapping node of the to-be-tested dam foundation on the dam foundation digital twin of the dam.

[0026] Preferably, obtaining geographical position information of the to-be-tested dam foundation, determining the first type of prediction type information based on the geographical position of the to-be-tested dam foundation, and predicting the termite type of the to-be-tested dam foundation based on the termite ground activity evidence in the termite activity evidence area to obtain the second type of prediction type information.

[0027]

[0028] ​The historical termite disaster information of the to-be-tested dam foundation further includes historical termite damage type information, which is third type prediction information;

[0029] The first type prediction information, the second type prediction information, and the third type prediction information are combined to form prediction termite type information;

[0030] The to-be-tested dam foundation is detected in real time to determine whether there is termite in the to-be-tested dam foundation, and if there is termite, the type of termite is identified to obtain detection termite type information;

[0031] The prediction termite type information and the detection termite type information are combined to form dam termite type information.

[0032] Preferably, based on the dam termite type information, the type of termite actually present or predicted to exist in each dam foundation trapping node is determined to obtain node termite type information;

[0033] Based on the node termite type information, food capable of inducing termites to prey is determined to obtain node termite food information, and based on the node termite type information, a pesticide that poses a life safety risk to termites in each dam foundation trapping node is determined to obtain regional termite pesticide information;

[0034] Based on the node termite food information and the node termite pesticide information, the bait for trapping and killing termites in each dam foundation trapping node is deployed to obtain node bait information;

[0035] Based on the node bait information, the bait in each dam foundation trapping node is distributed and placed into the corresponding dam foundation trapping node for installation, and after the installation is completed, a bait installation completion result is output;

[0036] A signal connection link between each dam foundation trapping node is created to obtain a plurality of inter-node signal links;

[0037] When the bait installation completion result is received, a termite trapping and control network of the to-be-tested dam foundation is created based on the plurality of inter-node signal links and the plurality of dam foundation trapping nodes.

[0038] Preferably, the node bait information includes node bait content information and node bait coordinate information;

[0039] Each dam foundation trapping node is photographed in real time to obtain node bait shooting video information of each dam foundation trapping node;

[0040] Based on the termite trapping and control network, the content of the bait in each dam foundation trapping node is detected in real time to obtain real-time bait content information of each dam foundation trapping node, and the position of the bait in each dam foundation trapping node is detected in real time to obtain real-time bait coordinate information of each dam foundation trapping node;

[0041] comparing the real-time bait content information of each dam foundation trapping node with the node bait content information, if the real-time bait content information of a dam foundation trapping node is inconsistent with the node bait content information, it is determined that the bait content of the dam foundation trapping node has changed, and the bait content change result is output;

[0042] The real-time bait coordinate information of each dam foundation trapping node is compared with the node bait coordinate information, if the real-time bait coordinate information of a dam foundation trapping node is inconsistent with the node bait coordinate information, it is determined that the bait position of the dam foundation trapping node has changed, and the bait position change result is output;

[0043] When receiving the bait position change result or receiving the bait position change result, output the bait change determination result;

[0044] When receiving the bait change determination result, verify whether the bait change is caused by termites preying on the bait laid in the dam foundation trapping node based on the node bait shooting video information of the corresponding node, if it is caused by termites preying on the bait laid in the dam foundation trapping node, track the termite foraging and carrying path to obtain termite carrying destination information.

[0045] Preferably, an additional trapping node is added at the termite carrying destination information, the bait is adjusted according to the type of termites carrying food and is put into the additional trapping node, the termite in-out situation at the termite carrying destination information is monitored in real time to obtain post-attraction termite activity information, the post-attraction termite activity information includes post-attraction termite density and post-attraction termite activity level;

[0046] Based on the post-attraction termite activity information after a set time, it is judged whether to further perform liquid agent infusion, the post-attraction termite density is compared with the preset post-attraction termite density threshold value, if the post-attraction termite density is greater than or equal to the preset post-attraction termite density threshold value, a first type of re-killing signal is output, the post-attraction termite activity level is compared with the preset post-attraction termite activity threshold value, if the post-attraction termite activity level is greater than or equal to the preset post-attraction termite activity threshold value, a second type of re-killing signal is output;

[0047] When receiving the first type of re-killing signal or receiving the second type of re-killing signal, it is determined that liquid agent infusion needs to be further performed, and a liquid agent infusion signal is output;

[0048] When receiving the liquid agent infusion signal, liquid agent infusion operation is performed on the termite carrying destination information, i.e. termite nest, and a liquid agent infusion completion signal is output after completion;

[0049] When the liquid medicine filling completion signal is received, after a set waiting time, the termite carrying destination information, i.e. the termite nest, is processed for cavity treatment, and is marked and displayed on the dam foundation digital twin.

[0050] Preferably, the regions of the dam foundation to be tested are displayed in real time on the dam foundation digital twin, and each region of the dam foundation digital twin can be zoomed in / out;

[0051] The dam foundation digital twin is uploaded to a block chain system for storage;

[0052] The dam foundation digital twin is sent to a background monitoring system based on a wireless communication module.

[0053] In summary, the present application includes at least one of the following beneficial technical effects:

[0054] By dividing the dam foundation to be tested into regions to obtain a region division result, dam foundation trapping nodes are arranged in each region of the dam foundation to be tested, the type of termites existing in the dam foundation to be tested is determined to obtain dam termite type information, and baits are dispensed and placed in the corresponding dam foundation trapping nodes according to the dam termite type information. Different baits are placed for different types of termites, which improves the induction accuracy of the zoned classification and fixed-point induction of termites in the dam foundation to be tested, and further improves the work efficiency of dam foundation termite monitoring and control. The bait change of each dam foundation trapping node is detected to track the termites that are preyed on, and it is determined whether further liquid medicine filling is needed. If so, liquid medicine filling operation is performed, and the cavity of the nest where the termites are located is processed, which improves the comprehensiveness of termite killing and further improves the work efficiency of dam foundation termite monitoring and control. BRIEF DESCRIPTION OF DRAWINGS

[0055] Figure 1 The present embodiment mainly embodies a module schematic diagram of a dam foundation termite monitoring and control integrated intelligent device.

[0056] Reference signs: 1, region division module; 2, trapping node arrangement module; 3, termite type module; 4, termite trapping control network creation module; 5, trapping and killing treatment module; 6, display and storage module. DETAILED DESCRIPTION

[0057] The present application will be further described in detail below with reference to the accompanying drawings.

[0058] The present embodiment discloses a dam foundation termite monitoring and control integrated intelligent device.

[0059] Reference Figure 1 The dam foundation termite monitoring and control integrated intelligent device comprises:

[0060] The regional division module is configured to divide the dam foundation into regions according to the functional structure and the geological and soil characteristics of the dam foundation to obtain a regional division result.

[0061] The trapping node arrangement module is configured to create a dam foundation digital twin, set multiple dam foundation trapping nodes in each region based on the dam foundation structure, termite surface activity signs and historical termite damage, and display the dam foundation digital twin.

[0062] The termite type module is configured to predict the type of termites present in the dam foundation under test based on the geographical location, termite surface activity signs and historical termite damage of the dam foundation under test to obtain predicted termite type information, and to detect termites in real time to determine whether termites are detected, and if termites are detected, to identify the type of termites to obtain detected termite type information, and to combine the predicted termite type information and the detected termite type information to form dam termite type information.

[0063] The termite trapping control network creation module is configured to allocate baits in each dam foundation trapping node based on the dam termite type information to obtain node bait information, and to create a termite trapping control network based on the node bait information.

[0064] The trapping and killing processing module is configured to monitor in real time whether the baits in each dam foundation trapping node are preyed upon by termites, and if the baits are preyed upon by termites, to track the termites that preyed on the baits, and to determine whether further liquid agent infusion is needed, and if so, to perform liquid agent infusion operation, and to perform cavity treatment on the nest where the termites are located.

[0065] The display and storage module is configured to display each region of the dam foundation under test in real time on the dam foundation digital twin, upload the dam foundation digital twin to the blockchain system for storage, and send it to the background monitoring system.

[0066] Reference Figure 1 The specific execution mode of the regional division module is as follows:

[0067] Obtain the structural design drawing of the dam foundation under test, and divide the dam foundation under test into regions according to the functional structure of the dam foundation under test based on the structural design drawing of the dam foundation under test to obtain a first type of dam foundation division result.

[0068] Specifically, the first type of dam foundation division result includes the main dam foundation area, the dam shoulder joint part, the spillway foundation area, the water intake structure foundation area, the downstream apron and stilling basin foundation area, and the near-dam section of the reservoir area.

[0069] According to the geological and soil characteristics of the dam foundation under test, the dam foundation under test is divided into regions to obtain a second type of dam foundation division result.

[0070] Specifically, the second type of dam foundation division result includes a water permeability partition, a geological structure and weak zone partition, and an overburden layer characteristic partition.

[0071] The first type of dam foundation division result and the second type of dam foundation division result are combined to form a regional division result of the dam foundation of the to-be-tested dam.

[0072] With reference to Figure 1 The specific execution mode of the luring node arrangement module is as follows:

[0073] A plurality of angle shooting is performed on the to-be-tested dam foundation to obtain a dam foundation shooting image set, the dam foundation shooting image set including a large number of dam foundation multi-angle shooting images, image fusion is performed on the dam foundation multi-angle shooting images to obtain dam foundation image information, and a dam foundation digital twin is created based on the dam foundation image information.

[0074] Based on a structure design drawing of the to-be-tested dam foundation, a region favorable for termite activity and survival in the structure of the to-be-tested dam foundation is determined to obtain a termite survival favorable region.

[0075] An example is taken to illustrate: the dam shoulder joint is a key channel for termites to invade the dam foundation from the mountain, the water permeability partition has good moisture conditions, which is conducive to frequent activities of termites, and the dam shoulder joint and the water permeability partition are combined to form a termite survival favorable region.

[0076] Dam foundation scale information of the to-be-tested dam foundation is obtained, and based on the dam foundation scale information of the to-be-tested dam foundation, the arrangement density of the first type of luring node arranged in the termite survival favorable region of the to-be-tested dam foundation is determined to obtain first type of luring node arrangement density information, wherein the greater the dam foundation scale information of the first type of to-be-tested dam foundation is, the smaller the first type of luring node arrangement density is.

[0077] Based on the first type of luring node arrangement density information, the first type of luring node is arranged uniformly in the termite survival favorable region.

[0078] It is detected whether there is a termite surface activity sign in the to-be-tested dam foundation, and if there is a termite surface activity sign, the position region where the termite surface activity sign exists is marked as a termite activity sign region.

[0079] For example, the signs of termite ground activity include: mud shield / mud line, swarm hole, ventilation hole, and erosion trace. Among them, the mud shield / mud line is the most obvious and common sign. Termites cover the food (such as dry grass, tree roots, wood) with a tubular or sheet-shaped covering formed by mud, saliva and excrement. During the breeding season (different for different species and regions, usually spring and summer or after rain), termites will fly out of the nest. These holes are conical and protruding, and are usually distributed in the middle and lower part of the dam slope, the backwater slope or other hidden places. The discovery of the swarm hole can roughly determine the existence of adult nests nearby. The main nest system of termites needs to exchange air with the outside to regulate temperature and humidity, and small circular or plum-shaped holes that are much smaller than the swarm hole and do not fly out of the hole, i.e. ventilation holes, are formed near the ground surface. Wood piles, power poles, dry branches, and old wooden facilities near and inside the dam body are easy to be eroded by termites. In the embodiments of the present application, if any of the mud shield / mud line, swarm hole, ventilation hole, and erosion trace exists in the dam foundation of the to-be-tested dam, it is determined that the to-be-tested dam foundation has signs of termite ground activity.

[0080] The activity of termites in the area of termite activity signs in the to-be-tested dam foundation is detected to obtain dam foundation termite activity information, and the dam foundation termite activity information is used to determine the arrangement density of the second type of trapping nodes arranged in the area of termite activity signs in the to-be-tested dam foundation to obtain second type of trapping node arrangement density information.

[0081] The second type of trapping nodes are arranged uniformly in the area favorable for the survival of termites based on the second type of trapping node arrangement density information.

[0082] The historical termite disaster information of the to-be-tested dam foundation is obtained based on big data technology, and the historical termite disaster information of the to-be-tested dam foundation includes historical termite damage location information. The historical termite damage location information is marked as a historical termite damage trapping node, and the historical termite damage location information is used to arrange the historical surrounding trapping nodes uniformly in the surrounding area to form a third type of trapping node.

[0083] The first type of trapping node, the second type of trapping node, and the third type of trapping node are combined to form the dam foundation trapping nodes of the to-be-tested dam foundation.

[0084] The dam foundation trapping nodes of the to-be-tested dam foundation are marked and displayed on the dam foundation digital twin of the dam.

[0085] Reference Figure 1 The specific execution mode of the termite type module is as follows:

[0086] The geographic location information of the to-be-tested dam foundation is obtained, and the first type of prediction type information is obtained based on the geographic location of the to-be-tested dam foundation to determine the type of termites that are prone to occur in the region to which the to-be-tested dam foundation belongs.

[0087] The second type of prediction information is obtained by predicting the termite type of the dam foundation to be measured based on the termite ground activity signs in the termite activity sign area.

[0088] For example, the morphology of the soil-dwelling termite's mud cover / mud line is wide, flat and sheet-shaped, like a "thin mud sheet" covering the surface of an object or a "wide mud ridge" crawling along the edge of an object or wall, with a size of several centimeters to tens of centimeters, which is very eye-catching. The morphology of the mud cover / mud line of the scattered termite is in the form of a thin strip, a crack or a pipeline, like a "thin mud rope", which is often hidden in a gap or closely attached to the surface, with a small size, usually less than 1 centimeter in width, and is relatively concealed. In addition, the morphology of the mud cover / mud line of the milk-white termite is between the two, which can be in the form of a sheet (mud cover) or a strip (mud line), but is usually thinner and more delicate than the soil-dwelling termite and wider than the scattered termite, with a size of 1-3 centimeters in width.

[0089] For example, the morphology of the soil-dwelling termite's mud cover / mud line is wide, flat and sheet-shaped, like a "thin mud sheet" covering the surface of an object or a "wide mud ridge" crawling along the edge of an object or wall, with a size of several centimeters to tens of centimeters, which is very eye-catching. The morphology of the mud cover / mud line of the scattered termite is in the form of a thin strip, a crack or a pipeline, like a "thin mud rope", which is often hidden in a gap or closely attached to the surface, with a small size, usually less than 1 centimeter in width, and is relatively concealed. In addition, the morphology of the mud cover / mud line of the milk-white termite is between the two, which can be in the form of a sheet (mud cover) or a strip (mud line), but is usually thinner and more delicate than the soil-dwelling termite and wider than the scattered termite, with a size of 1-3 centimeters in width.

[0090] The historical termite disaster information of the dam foundation to be measured also includes historical termite damage type information, which is the third type of prediction information.

[0091] The first type of prediction information, the second type of prediction information and the third type of prediction information are combined to form prediction termite type information.

[0092] The dam foundation to be measured is detected in real time to determine whether there is termite in the dam foundation to be measured, and if there is termite, the termite type is identified to obtain detection termite type information.

[0093] The prediction termite type information and the detection termite type information are combined to form dam termite type information.

[0094] Reference Figure 1 The specific execution mode of the termite attraction pipe control network creation module is as follows:

[0095] Based on the dam termite type information, the actual or predicted termite type of each dam foundation attraction node is determined to obtain node termite type information.

[0096] The node termite type information is used to determine node termite food information, which is used to determine food that can induce termites to prey.

[0097] The node termite type information is used to determine node termite food information, which is used to determine food that can induce termites to prey.

[0098] The node termite type information is used to determine node termite food information, which is used to determine food that can induce termites to prey.

[0099] The node termite type information is used to determine node termite food information, which is used to determine food that can induce termites to prey.

[0100] The node termite type information is used to determine node termite food information, which is used to determine food that can induce termites to prey.

[0101] Referring to Figure 1 , the specific execution mode of the bait killing processing module is as follows:

[0102] The node bait information includes node bait content information and node bait coordinate information.

[0103] The node bait information includes node bait content information and node bait coordinate information.

[0104] The node bait information includes node bait content information and node bait coordinate information.

[0105] The node bait information includes node bait content information and node bait coordinate information.

[0106] The node bait information includes node bait content information and node bait coordinate information.

[0107] When the bait position change result is received or after the bait position change result is received, output the bait change determination result.

[0108] When the bait change determination result is received, verify whether the bait change is caused by the termites preying on the bait laid in the dam foundation trapping node based on the node bait shooting video information of the corresponding node, and if the bait change is caused by the termites preying on the bait laid in the dam foundation trapping node, track the termite predation transport path to obtain termite transport destination information.

[0109] An additional trapping node is added at the termite transport destination information, the bait is adjusted according to the type of termites transporting food and is put into the additional trapping node, the termite in-out situation at the termite transport destination information is monitored in real time to obtain post-attraction termite activity information, and the post-attraction termite activity information includes post-attraction termite density and post-attraction termite activity.

[0110] Based on the post-attraction termite activity information after the set time, it is determined whether to further perform liquid agent infusion, the post-attraction termite density is compared with a preset post-attraction termite density threshold, if the post-attraction termite density is greater than or equal to the preset post-attraction termite density threshold, a first type of re-killing signal is output, the post-attraction termite activity is compared with a preset post-attraction termite activity threshold, and if the post-attraction termite activity is greater than or equal to the preset post-attraction termite activity threshold, a second type of re-killing signal is output.

[0111] When the first type of re-killing signal is received or the second type of re-killing signal is received, it is determined that liquid agent infusion needs to be further performed, and a liquid agent infusion signal is output.

[0112] When the liquid agent infusion signal is received, liquid agent infusion operation is performed on the termite transport destination information, i.e., the termite nest, and after completion, a liquid agent infusion completion signal is output.

[0113] When the liquid agent infusion completion signal is received, after a set waiting time, cavity treatment is performed on the termite transport destination information, i.e., the termite nest, i.e., the termite nest is filled with grout, and a mark is displayed on the dam foundation digital twin. The structural stability of the dam foundation to be tested is improved, and the risk of structural disturbance of the dam foundation to be tested caused by termite nests is reduced.

[0114] Referring to Figure 1 , the specific execution mode of the display storage module is as follows:

[0115] The dam foundation to be tested is displayed in real time on the dam foundation digital twin, and each region of the dam foundation digital twin can be zoomed in / out.

[0116] uploading the dam foundation digital twin to a blockchain system for storage.

[0117] sending the dam foundation digital twin to a back office monitoring system based on a wireless communication module.

[0118] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application, so that: any equivalent changes made in accordance with the structure, shape, principle of the present application should be covered within the protection scope of the present application.

Claims

1. An integrated intelligent device for monitoring and controlling termites in dam foundations, characterized in that: include: The region division module is configured to divide the region based on the functional structure and geological and soil properties of the foundation of the dam to be tested, and obtain the region division results. The trapping node deployment module is configured to create a digital twin of the dam foundation. Based on the dam foundation structure, signs of termite activity on the ground, and historical termite damage, multiple trapping nodes are set in each area and displayed on the digital twin of the dam foundation. The termite type module is configured to predict the termite types present in the dam foundation based on the geographical location of the dam foundation, signs of termite activity on the ground, and historical termite damage. It also performs real-time detection on the dam foundation to determine whether termites are detected. If termites are detected, the module identifies the termite type and obtains the detected termite type information. The predicted termite type information and the detected termite type information are combined to form the dam termite type information. The termite trapping and control network creation module is configured to allocate bait in each trapping node of the dam foundation based on the termite type information of the dam to obtain node bait information, deploy bait based on the node bait information, and create a termite trapping and control network. The baiting and killing module is configured to monitor in real time whether the bait in each dam foundation baiting node is preyed on by termites. If it is preyed on by termites, the module will track the termites that are preying on them and determine whether further liquid pesticide injection is needed. If so, the module will perform liquid pesticide injection to hollow out the termite nest. The specific execution method of the baiting and killing module is as follows: Additional baiting nodes are added at the termite transport destination information point. Bait is prepared according to the type of termite that is transporting food and is released at the additional baiting nodes. The entry and exit of termites at the termite transport destination information point is monitored in real time to obtain termite activity information in the later stage of baiting and killing. The termite activity information in the later stage of baiting and killing includes the termite density and the termite activity in the later stage of baiting and killing. Based on the termite activity information after the set time, it is determined whether to further inject liquid pesticide. The termite density after the trapping is compared with the preset termite density threshold. If the termite density after the trapping is greater than or equal to the preset termite density threshold, a first type of re-exploitation signal is output. The termite activity after the trapping is compared with the preset termite activity threshold. If the termite activity after the trapping is greater than or equal to the preset termite activity threshold, a second type of re-exploitation signal is output. When a first type of disinfection signal or a second type of disinfection signal is received, it is determined that further liquid agent infusion is required, and a liquid agent infusion signal is output. Upon receiving the liquid pesticide injection signal, the liquid pesticide injection operation is performed on the termite nest, which is the destination information of the termite transport. After completion, a liquid pesticide injection completion signal is output. After receiving the signal that the liquid agent injection is complete, after a set waiting time, the destination information of the termites, i.e. the termite nest, is hollowed out and marked on the digital twin of the dam foundation. The display storage module is configured to display each area of ​​the dam foundation under test in real time on the digital twin of the dam foundation, upload the digital twin of the dam foundation to the blockchain system for storage, and send it to the background monitoring system.

2. The integrated intelligent device for monitoring and controlling termites in dam foundations according to claim 1, characterized in that, The specific execution method of the region division module includes: Obtain the structural design drawing of the foundation of the dam to be tested. Based on the structural design drawing of the foundation of the dam to be tested, divide the foundation of the dam to be tested into regions according to the functional structure of the foundation of the dam to be tested to obtain the first type of foundation division result. Based on the geological and soil characteristics of the foundation of the dam to be tested, the foundation of the dam to be tested is divided into regions to obtain the second type of foundation division results; The first type of dam foundation division result and the second type of dam foundation division result are combined to form the regional division result of the dam foundation to be tested.

3. The integrated intelligent device for monitoring and controlling termites in dam foundations according to claim 2, characterized in that, The specific execution method of the trapping node deployment module includes: A set of images of the dam foundation is obtained by taking pictures of the dam foundation from multiple angles. The set of images of the dam foundation includes a large number of pictures of the dam foundation taken from multiple angles. The pictures of the dam foundation taken from multiple angles are fused to obtain the image information of the dam foundation. A digital twin of the dam foundation is created based on the image information of the dam foundation. Based on the structural design drawings of the dam foundation to be tested, the favorable areas for termite activity and survival in the structure of the dam foundation to be tested are determined to obtain the favorable areas for termite survival. Obtain the dam foundation scale information of the dam foundation to be tested, and determine the deployment density of the first type of trap nodes in the termite survival favorable area of ​​the dam foundation to be tested based on the dam foundation scale information of the dam foundation to be tested. The larger the dam foundation scale information of the first type of dam foundation to be tested, the smaller the deployment density of the first type of trap nodes. The first type of attracting nodes are obtained by uniformly distributing them within the favorable area for termite survival based on the density information of the first type of attracting nodes.

4. The integrated intelligent device for monitoring and controlling termites in dam foundations according to claim 3, characterized in that, The specific execution method of the trapping node deployment module also includes: Detect whether there are signs of termite activity on the surface of the dam foundation to be tested. If there are signs of termite activity, mark the area where the signs of termite activity are found as the termite activity area. The activity level of termites in the area showing signs of termite activity in the foundation of the dam to be tested is detected to obtain termite activity information in the foundation. Based on the termite activity information in the foundation, the deployment density of the second type of trap nodes deployed in the area showing signs of termite activity in the foundation of the dam to be tested is determined to obtain the deployment density information of the second type of trap nodes. The second type of attracting nodes are obtained by uniformly distributing them within the favorable area for termite survival based on the density information of the second type of attracting nodes. Based on big data technology, historical termite infestation information of the dam foundation to be tested is obtained. The historical termite infestation information of the dam foundation to be tested includes historical termite infestation location information. The historical termite infestation location information is marked as historical termite infestation attraction nodes. Historical surrounding attraction nodes are evenly distributed in the area around the historical termite infestation location information. The historical termite infestation attraction nodes and the historical surrounding attraction nodes are combined to form a third type of attraction node. The first type of trapping node, the second type of trapping node, and the third type of trapping node are combined to form the dam foundation trapping node of the dam foundation to be tested; The dam foundation trapping nodes of the dam foundation to be tested are marked and displayed on the digital twin of the dam foundation.

5. The integrated intelligent device for monitoring and controlling termites in dam foundations according to claim 4, characterized in that, The specific execution method of the termite type module is as follows: Obtain the geographical location information of the dam foundation to be tested, and based on the geographical location of the dam foundation to be tested, determine the types of termites that are likely to appear in the area where the dam foundation to be tested belongs to obtain the first type of prediction type information; Based on the termite activity signs on the ground in the area of ​​termite activity signs, the termite type of the dam foundation to be tested is predicted to obtain the second type of prediction information; The historical termite infestation information of the dam foundation to be tested also includes historical termite infestation type information, which is the third type of prediction type information; The first type of prediction type information, the second type of prediction type information, and the third type of prediction type information are combined to form the predicted termite type information; The foundation of the dam to be tested is monitored in real time to determine whether termites are present. If termites are present, the type of termites is identified and the type of termites detected is obtained. The predicted termite type information and the detected termite type information are combined to form the termite type information for the dam.

6. The integrated intelligent device for monitoring and controlling termites in dam foundations according to claim 5, characterized in that, The specific execution method of the termite trapping and control network creation module includes: Based on the termite type information of the dam, the actual or predicted termite types existing at each dam foundation trapping node are determined to obtain the node termite type information; Based on the information on the type of termites at each node, food that can induce termites to prey on them is obtained, and information on termite pesticides that pose a life-threatening risk to termites at each dam foundation is obtained. Based on the termite food information and termite pesticide information at each node, the bait information for trapping and killing termites at each dam foundation gathering node is obtained by adjusting the bait. Based on the node decoy information, the decoys of each dam foundation decoy node are distributed and deployed to the corresponding dam foundation decoy nodes for installation. After the installation is completed, the decoy installation completion result is output. Multiple signal links between nodes are obtained by creating signal connection links between each dam foundation attraction node; Upon receiving the result that the bait installation is complete, a termite trapping and control network for the dam foundation to be tested is created based on the signal links between the multiple nodes and the multiple dam foundation trapping nodes.

7. The integrated intelligent device for monitoring and controlling termites in dam foundations according to claim 6, characterized in that, The specific execution method of the baiting and killing processing module includes: The node bait information includes node bait content information and node bait coordinate information; Real-time filming of bait placement locations at each dam foundation trapping node yielded video information of the bait placement at each dam foundation trapping node. Based on the termite trapping and control network, the real-time bait content of each dam foundation trapping node is detected in real time to obtain the real-time bait content information of each dam foundation trapping node, and the real-time bait coordinate information of each dam foundation trapping node is detected in real time to obtain the real-time bait coordinate information of each dam foundation trapping node. The real-time bait content information of each dam foundation trap node is compared with the node bait content information. If the real-time bait content information of a dam foundation trap node is inconsistent with the node bait content information, it is determined that the bait content of the dam foundation trap node has changed, and the bait content change result is output. The real-time bait coordinate information of each dam foundation trap node is compared with the node bait coordinate information. If the real-time bait coordinate information of a dam foundation trap node is inconsistent with the node bait coordinate information, it is determined that the bait position of the dam foundation trap node has changed, and the bait position change result is output. Upon receiving the result of the bait position change, or upon receiving the result of the bait position change, output the bait change determination result; After receiving the bait change determination result, the video information of the corresponding node bait is used to verify whether the bait change is caused by termites preying on the bait deployed in the dam foundation trap node. If the bait change is caused by termites preying on the bait deployed in the dam foundation trap node, the termite predation and transportation path is tracked to obtain the termite transportation destination information.

8. The integrated intelligent device for monitoring and controlling termites in dam foundations according to claim 7, characterized in that, The specific execution methods of the display storage module include: The system allows for real-time visualization of various regions of the dam foundation in a digital twin, and enables zooming in / out of each region. The digital twin of the dam foundation is uploaded to a blockchain system for storage; The digital twin of the dam foundation is sent to the background monitoring system via a wireless communication module.

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