Vehicle-mounted dam dangerous case intelligent detection and repair system

Abstract

The invention discloses a vehicle-mounted dam dangerous case intelligent detection and repair system, and relates to the technical field of dam dangerous case detection and repair. Comprising an intelligent visual identification subsystem, a dam detection subsystem, a data processing module, a module power supply subsystem, a vehicle-mounted hydraulic subsystem, an automatic positioning and marking subsystem, a punching and grouting subsystem, a feedback alarm mechanism module and a remote control server. The dam damage detection efficiency is effectively improved, the detection accuracy is improved, real-time monitoring and early warning can be achieved, the system can adapt to various environments, the dam maintenance cost is reduced, and dam safety is promoted; the platform is a mobile detection platform integrating advanced sensors and intelligent analysis technologies; an electromagnetic wave detection technology, a sensor technology, a wireless communication technology and an intelligent analysis algorithm are combined, and detection and punching grouting repair are rapidly and accurately conducted on the dam; the detection efficiency is greatly improved, the labor cost is reduced, safe operation of the dam is guaranteed, and possible disasters and losses caused by cracks of ant nests and ant channels and other cavities are avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of dam danger detection and repair, and in particular to a vehicle-mounted intelligent dam danger detection and repair system. Background Art

[0002] Modern dams mainly include earth-rock dams and concrete dams. In recent years, large dams have all adopted high-tech reinforced concrete construction. Ant infestation is the main cause of dam damage, and the main reasons for ant infestation are: the original ant holes in the dam foundation have not been cleared, which brings hidden dangers to the dam. The termites in the nests penetrate the dam to get water and food, causing the dam to leak after construction. The grass slope protection inside and outside the dam is the favorite food of termites, which attracts termites to settle and build nests. The spread of ant infestation in the surrounding environment and houses; the breeding ants fly out during the termite breeding season to attract and settle on the dam; several soil-dwelling termites can They nest densely within river embankments and reservoir dams, with mushroom beds scattered across the landscape and extensive ant tunnels. Some tunnels even penetrate the inner and outer slopes of embankments. Once the water level rises during flood season and exceeds the tunnels on the upstream slope, water seeps through the tunnels into the cavities and channels hidden within the embankment and flows out through the tunnels extending from the downstream slope, resulting in pipe leaks. In severe cases, landslides and dam collapses may occur, causing flooding, property damage, and casualties of people and animals. As important water conservancy projects, the safety of embankments is directly related to the safety of people's lives and property and regional economic development.

[0003] The key to preventing and eliminating termite safety hazards on dams lies in discovering the activity areas of termite colonies and promptly detecting and locating termite nests and cavities in the dams for scientific disposal. However, the problem of detecting termite hazards on dams has not been well solved at home and abroad.

[0004] 1. Traditional detection methods are difficult and inefficient: Currently, most detection methods use traditional manual methods, which involve multiple people walking in a column above the average water level on the back slope of the dam to check for signs of termite activity. Because walking on the slope of the dam is very difficult, the detection efficiency is extremely low, and missed detections often occur;

[0005] High-density cone probes have some disadvantages in detecting ant nests on embankments. The cone probe holes are drilled along the top of the embankment slope, with both the hole spacing and row spacing (horizontal distance) of about 2 meters, arranged in a plum blossom shape. There is also an arrangement with a row spacing of about 100 cm and a hole spacing of 90 cm. First, high-density cone probes mainly rely on the detection of the physical properties of the soil. Its detection results may be affected by multiple factors such as soil type, moisture, density, etc., resulting in inaccurate detection results. Second, the detection depth of high-density cone probes is limited. Due to the large spacing, it is difficult to detect small and medium-sized termite nests and cavities. Third, after the embankment is raised and thickened, it is even more impossible to detect deeply buried and large-scale ant nests. In addition, the operation of high-density cone probes is relatively complicated and inefficient, requiring professional technicians to operate, and the detection process may cause certain damage to the embankment, increasing the cost of subsequent maintenance and repair.

[0006] 2. Impact on dam slope protection vegetation and structure: Although the signs left by termites on the ground, such as mud blankets, mud lines, termite damage and flight holes, can be used as clues to detect and identify termite nests and cavities, the appearance of these signs is affected by environmental factors such as terrain, season, temperature, humidity, rainfall and termite food plants. The number, density and distribution of termites are difficult to detect and judge. Only by increasing manpower and repeated inspections can the probability of discovering termite colonies be increased, but this will cause large-scale trampling and destruction of dam protection vegetation.

[0007] Due to the need for grouting treatment, finding, digging and probing ant holes is a necessary process; after finding signs of termite activity on the surface, the ant tunnel can be traced and dug to find the main ant tunnel, and then determine the location of the ant nest; specific methods include finding the main ant tunnel from the mud line, finding the main ant tunnel from the branch hole, and digging trenches to find the main ant tunnel, etc.; but it is difficult to avoid damage to the dam structure.

[0008] 3. Limitations of the trapping method in detection. First, the trapping method may not fully cover all target termites. Because termite colonies vary in size and range, they may not be sensitive to the trapping device or not be attracted to the bait at all, making it impossible to effectively detect termites using the trapping method.

[0009] Secondly, the accuracy of the trapping method will be affected by the environment; for example, climatic conditions (such as temperature, humidity, wind speed, etc.) and seasonal changes may affect the activity and tendency of pests, thereby affecting the effectiveness of the trapping device;

[0010] Furthermore, trapping methods may not be able to provide real-time detection data; since trapping devices usually take a certain amount of time to accumulate enough pest samples for analysis, they cannot provide real-time information on pest activity; this may result in the inability to take timely response measures when pests break out or migrate. Summary of the Invention

[0011] In view of the deficiencies in the prior art, the present invention provides a vehicle-mounted intelligent dam hazard detection and repair system, which solves the problems raised in the above-mentioned background technology.

[0012] To achieve the above objectives, the present invention is implemented through the following technical solutions: a vehicle-mounted intelligent detection and repair system for dam dangers, including an intelligent visual recognition subsystem, a dam detection subsystem, a detection data processing module, a module power supply subsystem, a vehicle-mounted hydraulic subsystem, an automatic positioning and marking subsystem, a drilling and grouting subsystem, a feedback alarm mechanism module, and a remote control server;

[0013] The intelligent visual recognition subsystem and the dam detection subsystem collect basic internal and external information data of the dam. The data processing module cleans, classifies, and organizes the data. The detection data is analyzed and calculated to locate cracks and cavities that pose hidden dangers within the dam and the range of termite activity, and then propose targeted repair plans.

[0014] The intelligent visual recognition subsystem uses computers and cameras to simulate human visual functions, capture images of the dam surface, and achieve object recognition, positioning, tracking, and measurement. The visual recognition subsystem includes cameras, image sensors, image signal processors, and serializers.

[0015] The dam detection subsystem uses infrared thermal imaging and penetrating radar to detect cracks and cavities inside the dam. Both infrared thermal imaging and penetrating radar are vehicle-mounted, making them mobile.

[0016] The detection results will be transmitted through the communication module of the vehicle-mounted ground penetrating radar in a wired or wireless manner, and the detection data will be transmitted in real time to a remote data center or vehicle-mounted monitoring station (video display terminal);

[0017] The images and data are processed using big data analysis algorithms and AI intelligent recognition technology to determine the location, shape, and size of termite nests, dam cavities, and cracks;

[0018] The detection data processing module is responsible for receiving, storing, processing and real-time analysis of data, including data collection, data cleaning, data conversion, data analysis and data visualization;

[0019] The data transmission operation during the detection data processing process adopts 4G / 5G high-speed wireless communication technology, combined with the local wireless communication network, to ensure that the monitoring data is transmitted to the remote control server or vehicle-mounted monitoring station (video display terminal) in real time and accurately;

[0020] After the data is transmitted to the remote control server, the received signals are mined and analyzed to identify the specific location, number, type and degree of damage of termite activities, and generate corresponding early warning information and prevention and control instructions;

[0021] At the same time, an AI recognition model is trained based on known termite nest and cavity data. During the training process, the model learns the characteristic information of termite nests and cavities and continuously optimizes its recognition capabilities. The pre-processed detection information is input into the trained AI recognition model, which intelligently identifies the input data and outputs the recognition results of termite nest tunnels, cavities, and infested areas. The recognition results may include information such as the location, size, shape, and confidence level of the nest. Based on the output of the AI ​​recognition model, the identified termite nests, cavities, and infested areas are located and marked on the map of the backend management operation terminal.

[0022] The module power supply subsystem uses a lithium battery and solar energy dual-energy power supply system to provide continuous power to the intelligent visual recognition subsystem, dam detection subsystem, and detection data processing module to ensure the normal operation of the system in various environments;

[0023] The vehicle-mounted hydraulic subsystem includes a transport vehicle, a hydraulic support assembly, and a slope monitoring arm. The hydraulic support assembly is located above the transport vehicle, and one end of the slope monitoring arm is connected to the hydraulic support assembly.

[0024] in,

[0025] The hydraulic support assembly includes a machine base, a motor mounted above the machine base, a hydraulic pump mounted at one end of the machine base and connected to a hydraulic rod, one end of the hydraulic rod being hinged to a slope monitoring arm and the other end being hinged to the machine base, and a vertical column connected to one end of the slope monitoring arm being provided above the machine base;

[0026] The slope monitoring arm is composed of a plurality of mutually hinged connecting rods. The bottom end of the slope monitoring arm is provided with an arm bottom plate, and the end of the slope monitoring arm away from the column is provided with a marking component.

[0027] The automatic positioning and marking subsystem is used to increase inspection speed. The inspection device and the preventive grouting device are installed on two vehicles with different functions, facilitating rapid mobile inspection and preventive repair in different embankment areas. The subsystem includes a marker for label positioning. A linear motor is installed above the marker and connected to the slope monitoring arm via a bracket. A storage box for labels is also provided on one side of the bracket.

[0028] The drilling and grouting subsystem includes a slurry agitator, a high-pressure mud pump, a delivery pipeline, and a high-pressure grouting head;

[0029] Feedback alarm mechanism module: When the system detects termite nests, dam cavities, and termite surface features, it will immediately send warning information to the operation platform and technicians. The warning information includes alarm sound, light, image, depth and range information, and accurately locates and automatically labels them for subsequent drilling and grouting treatment;

[0030] Remote control server, used to store detection data, provide historical data analysis and long-term monitoring and detection services. The server also supports remote control of control equipment, including the placement of traps and insecticides and automatic drilling and grouting, to achieve precise termite control and repair.

[0031] At the same time, the remote control server also provides an intuitive operation interface, allowing operators to monitor and control the detection process and view the prevention and control results in the vehicle cab or remote monitoring room.

[0032] Optionally, the specific process of the intelligent visual recognition subsystem is as follows:

[0033] S1, the camera is responsible for capturing light information on the dam surface and its surrounding areas, including cracks and cavities on the dam surface and signs of termite activity;

[0034] S2. The light captured by the lens is converted into an electrical signal by the image sensor. The image sensor has high sensitivity and high resolution and can accurately convert light information into digital image signals.

[0035] S3. These digital image signals are transmitted to an image signal processor; the processor performs filtering, enhancement, and correction on the image signals to improve image clarity and contrast, making it easier to identify and capture signs of termite activity.

[0036] S4. The processed image signal is serialized by a serializer and transmitted to the vehicle system's storage device or wireless transmitter. If the camera is equipped with a wireless transmitter, the processed image can be transmitted to a remote monitoring center in real time. The image and data are processed by big data analysis algorithms and AI intelligent recognition technology to determine information such as the type of termite and the scope of termite damage.

[0037] S5. Managers can use monitoring screens to observe whether there are signs of termite activity on the embankment; once termite activity is detected, they can immediately take preventive measures.

[0038] Optionally, the infrared thermal imaging helps identify termite activity areas by detecting temperature differences on the dam surface, thereby capturing the heat changes generated by termites during nesting and daily activities, so that termite nests and activity areas can be clearly identified and located, and provide evidence for ground penetrating radar detection results;

[0039] Vehicle-mounted infrared thermal imaging can quickly travel through various areas of the dam, thereby improving work efficiency and reducing interference with the normal operation of the dam. Through continuous scanning by the infrared thermal imager, signs of termite activity can be captured and recorded in real time.

[0040] Optionally, the penetrating radar transmits electromagnetic waves into the underground through a transmitting antenna. When the electromagnetic waves propagate in the underground medium and encounter abnormal structures such as termite nests, cavities or cracks, the electromagnetic waves will be reflected at the interface due to the difference in physical properties of conductivity and dielectric constant between these structures and the surrounding medium. The reflected electromagnetic waves are then captured by a receiving antenna and, after signal processing, form an image or data of the underground structure.

[0041] Optionally, the detection data processing module further includes an information transmission module, specifically as follows:

[0042] (1) Collection and encoding: First, sensors such as ground-penetrating radar, infrared detectors, and cameras in the vehicle-mounted detection system collect real-time information such as the underground structure, temperature distribution, and visible images of the dam. This information needs to be encoded to maintain data integrity and accuracy during transmission.

[0043] (2) Wireless transmission: The encoded data is transmitted to the backend management operation terminal through the wireless communication module of the vehicle-mounted detection system; the wireless communication module is responsible for sending the data packet to the designated network address to ensure that the data can be transmitted to the backend in real time and stably;

[0044] (3) Receiving and decoding: After the backend management operation terminal receives the data packet, it restores the original detection information through decoding processing; the decoding process needs to ensure the accuracy and integrity of the data so that the subsequent big data analysis algorithm and AI intelligent identification and positioning can proceed smoothly.

[0045] Optionally, the data processing flow is as follows:

[0046] (1) The backend management operation terminal pre-processes the received detection information, including data cleaning, denoising, and format conversion, to improve data quality and provide a reliable data foundation for subsequent analysis algorithms;

[0047] (2) extracting characteristic information related to termite nests and cavities from the preprocessed data, including abnormal reflections from underground structures, abnormal areas of temperature distribution, and specific shapes or textures in visible images;

[0048] (3) Using big data analysis algorithms to conduct in-depth mining and analysis of the extracted feature information, including one or more machine learning algorithms and deep learning algorithms, to identify the potential location, size, and morphology of termite nests and cavities.

[0049] Optionally, the warning information is also pushed to user terminals, including mobile phone APP and PC software, to achieve remote monitoring and real-time warning. Users can dispatch prevention and repair measures in a timely manner based on the warning information.

[0050] Optionally, the remote control server also has a trace management function, and each monitoring point has a unique number and satellite positioning, which is convenient for users to view and manage at any time.

[0051] Optionally, the specific process of the automatic positioning and marking subsystem is as follows:

[0052] 1. Enter the site;

[0053] 2. Lower the baffle;

[0054] 3. Start hydraulic pressure;

[0055] 4. Fill the benchmark;

[0056] 5. Rotate and extend the measuring arm;

[0057] 6. Lower the measuring arm;

[0058] 7. Video surveillance;

[0059] 8. Drive detection;

[0060] 9. Target alarm;

[0061] 10. Parking marking;

[0062] (1) Cavity alarm; launch cavity mark; drill hole to be filled;

[0063] (2) Ant alarm; launching ant markers; drilling holes and burying ant pills;

[0064] (3) Temperature alarm; transmit temperature scale; send supporting evidence;

[0065] 11. Send information;

[0066] 12.Store information;

[0067] 13. Drive renewal inspection;

[0068] 14. Back and forth;

[0069] 15. Retract and extend the measuring arm;

[0070] 16. End the test.

[0071] The present invention provides a vehicle-mounted intelligent dam hazard detection and repair system, which has the following beneficial effects:

[0072] This vehicle-mounted intelligent detection and repair system for dam hazards effectively improves the efficiency of dam damage detection, reduces labor costs, improves detection accuracy, enables real-time monitoring and early warning, and can adapt to a variety of environments, reducing dam maintenance costs and promoting dam safety. It is a mobile detection platform that integrates advanced sensors and intelligent analysis technologies. It combines electromagnetic wave detection technology, sensor technology, wireless communication technology and intelligent analysis algorithms to quickly and accurately detect and repair dams, which can greatly improve the accuracy of inspecting termite damage on dams, improve the efficiency of eliminating termite hazards on dams, reduce termite prevention costs, and enhance the intelligent, information-based and automated scientific and technological content of dam termite prevention work, promote the modernization of dam safety management, and ensure the stability of dam structures and the safety of people's lives and property. The dam detection platform includes three core technologies: AI artificial intelligence vision, infrared thermal imaging, and ground-penetrating radar; it uses cloud platforms or remote services, intelligent analysis and processing, wireless communications and other technologies to automatically detect termite nests, cavities, and surface damage signs on dams. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 This is a flow chart of the intelligent visual recognition subsystem in the invention;

[0074] Figure 2 This is a schematic diagram of the infrared thermal imaging process in the dam detection subsystem of the invention;

[0075] Figure 3 A schematic diagram of the radar detection process in the dam detection subsystem of the invention;

[0076] Figure 4 A schematic diagram of the data transmission process in the invention;

[0077] Figure 5 This is a schematic diagram of the vehicle-mounted hydraulic subsystem of the invention;

[0078] Figure 6 This is a structural diagram of the slope monitoring arm of the invention. DETAILED DESCRIPTION

[0079] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0080] In the description of the present invention, unless otherwise specified, "plurality" means two or more; terms such as "upper," "lower," "left," "right," "inner," "outer," "front end," "rear end," "head," and "tail" indicate positions or relationships based on those shown in the accompanying drawings. These terms are intended solely to facilitate the description of the present invention and simplify the description. They do not indicate or imply that the devices or components referred to must have a specific orientation, be constructed, or operate in a specific orientation. Therefore, they should not be construed as limiting the present invention. Furthermore, terms such as "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0081] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "connected" and "connection" should be understood in a broad sense. For example, they can refer to fixed connection, detachable connection, or integral connection; mechanical connection, electrical connection; direct connection, or indirect connection through an intermediary. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0082] See also Figures 1 to 4 The present invention provides a technical solution: a vehicle-mounted intelligent detection and repair system for dam danger, including an intelligent visual recognition subsystem, a dam detection subsystem, a detection data processing module, a module power supply subsystem, a vehicle-mounted hydraulic subsystem, an automatic positioning and marking subsystem, a drilling and grouting subsystem, a feedback alarm mechanism module, and a remote control server;

[0083] The intelligent visual recognition subsystem and the dam detection subsystem collect basic internal and external information data of the dam. The data processing module cleans, classifies, and organizes the data. The detection data is analyzed and calculated to locate cracks and cavities that pose hidden dangers within the dam and the range of termite activity, and then propose targeted repair plans.

[0084] The intelligent visual recognition subsystem uses computers and cameras to simulate human vision, capture images of the dam surface, and identify, locate, track, and measure objects (detecting signs of ground hazards). The visual recognition subsystem includes cameras, image sensors, image signal processors, and serializers.

[0085] The specific process is as follows:

[0086] S1, the camera is responsible for capturing light information on the dam surface and its surrounding areas, including cracks and cavities on the dam surface and signs of termite activity;

[0087] S2. The light captured by the lens is converted into an electrical signal by the image sensor. The image sensor has high sensitivity and high resolution and can accurately convert light information into digital image signals.

[0088] S3. These digital image signals are transmitted to an image signal processor; the processor performs filtering, enhancement, and correction on the image signals to improve image clarity and contrast, making it easier to identify and capture signs of termite activity.

[0089] S4. The processed image signal is serialized by a serializer and transmitted to the vehicle system's storage device or wireless transmitter. If the camera is equipped with a wireless transmitter, the processed image can be transmitted to a remote monitoring center in real time. The image and data are processed by big data analysis algorithms and AI intelligent recognition technology to determine information such as the type of termite and the scope of termite damage.

[0090] S5. Managers can use monitoring screens to observe whether there are signs of termite activity on the embankment; if termite activity is detected, they can immediately take preventive measures;

[0091] The dam detection subsystem uses infrared thermal imaging and penetrating radar to detect whether there are cavities inside the dam. At the same time, the infrared thermal imaging and penetrating radar are vehicle-mounted to enable mobility.

[0092] The detection results (images or data) will be transmitted via the communication module of the vehicle-mounted ground penetrating radar in a wired or wireless manner to transmit the detection data in real time to a remote data center or vehicle-mounted monitoring station;

[0093] The images and data are processed using big data analysis algorithms and AI intelligent recognition technology to determine the location, shape, and size of termite nests, dam cavities, and cracks;

[0094] Infrared thermal imaging helps identify termite activity areas by detecting temperature differences on the dam surface (detecting the ground temperature characteristics of termite nests). This captures the heat changes generated by termites during nesting and daily activities, allowing the termite nests and activity areas to be clearly identified and located, and providing evidence for ground-penetrating radar detection results.

[0095] Vehicle-mounted infrared thermal imaging can quickly travel through various areas of the dam, thereby improving work efficiency and reducing interference with the normal operation of the dam. Through continuous scanning by the infrared thermal imager, signs of termite activity can be captured and recorded in real time.

[0096] Penetrating radar transmits electromagnetic waves into the ground through the transmitting antenna. When the electromagnetic waves propagate through the underground medium and encounter abnormal structures such as termite nests, cavities or cracks, the electromagnetic waves will be reflected at the interface due to the physical properties of conductivity and dielectric constant of these structures and the surrounding medium. The reflected electromagnetic waves are then captured by the receiving antenna and processed to form an image or data of the underground structure.

[0097] The detection data processing module is responsible for receiving, storing, processing and real-time analysis of data, including data collection, data cleaning, data conversion, data analysis and data visualization;

[0098] The data transmission operation during the detection data processing process adopts 4G / 5G high-speed wireless communication technology, combined with the local wireless communication network, to ensure that the monitoring data is transmitted to the remote control server in real time and accurately;

[0099] The detection data processing module also includes an information transmission module, which is as follows:

[0100] (1) The ground-penetrating radar, infrared detectors, and cameras in the vehicle-mounted detection system collect real-time information on the underground structure, temperature distribution, and visible images of the dam. This information needs to be encoded to maintain data integrity and accuracy during transmission.

[0101] (2) The encoded data is transmitted to the backend management operation terminal through the wireless communication module (such as 4G / 5G, Wi-Fi, etc.) of the vehicle-mounted detection system; the wireless communication module is responsible for sending the data packet to the designated network address to ensure that the data can be transmitted to the backend in real time and stably;

[0102] (3) After receiving the data packet, the backend management operation terminal restores the original detection information through decoding processing; the decoding process needs to ensure the accuracy and integrity of the data so that the subsequent big data analysis algorithm and AI intelligent identification and positioning can proceed smoothly;

[0103] After the data is transmitted to the remote control server, the received signals are mined and analyzed to identify the specific location, number, type and degree of damage of termite activities, and generate corresponding early warning information and prevention and control instructions;

[0104] At the same time, an AI recognition model is trained based on known termite nest and cavity data. During the training process, the model learns the characteristic information of termite nests and cavities and continuously optimizes its recognition capabilities. The pre-processed detection information is input into the trained AI recognition model, which intelligently identifies the input data and outputs the recognition results of termite nest tunnels, cavities, and infested areas. The recognition results may include information such as the location, size, shape, and confidence level of the nest. Based on the output of the AI ​​recognition model, the identified termite nests, cavities, and infested areas are located and marked on the map of the backend management operation terminal.

[0105] The data processing flow is as follows:

[0106] (1) The backend management operation terminal pre-processes the received detection information, including data cleaning, denoising, and format conversion, to improve data quality and provide a reliable data foundation for subsequent analysis algorithms;

[0107] (2) extracting characteristic information related to termite nests and cavities from the preprocessed data, including abnormal reflections from underground structures, abnormal areas of temperature distribution, and specific shapes or textures in visible images;

[0108] (3) using big data analysis algorithms to conduct in-depth mining and analysis of the extracted feature information, including one or more machine learning algorithms and deep learning algorithms, to identify the potential location, size, and morphology of termite nests and cavities;

[0109] The module power supply subsystem uses a lithium battery and solar energy dual-energy power supply system to provide continuous power to the intelligent visual recognition subsystem, dam detection subsystem, and detection data processing module to ensure the normal operation of the system in various environments;

[0110] The vehicle-mounted hydraulic subsystem includes a transport vehicle, a hydraulic support assembly, and a slope monitoring arm. The hydraulic support assembly is located above the transport vehicle, and one end of the slope monitoring arm is connected to the hydraulic support assembly. Figure 5 and Figure 6 ;

[0111] in,

[0112] The hydraulic support assembly includes a machine base, a motor mounted above the machine base, a hydraulic pump mounted at one end of the machine base and connected to a hydraulic rod, one end of the hydraulic rod being hinged to a slope monitoring arm and the other end being hinged to the machine base, and a vertical column connected to one end of the slope monitoring arm being provided above the machine base;

[0113] The slope monitoring arm is composed of a plurality of mutually hinged connecting rods. The bottom end of the slope monitoring arm is provided with an arm bottom plate, and the end of the slope monitoring arm away from the column is provided with a marking component.

[0114] The automatic positioning and marking subsystem is used to increase inspection speed. The inspection device and the preventive grouting device are installed on two vehicles with different functions, facilitating rapid mobile inspection and preventive repair in different embankment areas. The subsystem includes a marker for label positioning. A linear motor is installed above the marker and connected to the slope monitoring arm via a bracket. A storage box for labels is also located on one side of the bracket. The specific process is as follows:

[0115] 1. Enter the site;

[0116] 2. Lower the baffle;

[0117] 3. Start hydraulic pressure;

[0118] 4. Fill the benchmark;

[0119] 5. Rotate and extend the measuring arm;

[0120] 6. Lower the measuring arm;

[0121] 7. Video surveillance;

[0122] 8. Drive detection;

[0123] 9. Target alarm;

[0124] 10. Parking marking;

[0125] (1) Cavity alarm; launch cavity mark; drill hole to be filled;

[0126] (2) Ant alarm; launching ant markers; drilling holes and burying ant pills;

[0127] (3) Temperature alarm; transmit temperature scale; send supporting evidence;

[0128] 11. Send information;

[0129] 12.Store information;

[0130] 13. Drive renewal inspection;

[0131] 14. Back and forth;

[0132] 15. Retract and extend the measuring arm;

[0133] 16. End the test;

[0134] The drilling and grouting subsystem includes a slurry agitator, a high-pressure mud pump, a delivery pipeline, and a high-pressure grouting head;

[0135] Feedback alarm mechanism module: When the system detects termite nests, dam cavities, and termite surface features, it will immediately send warning information to the operation platform and technicians. The warning information includes alarm sound, light, image, depth and range information, and accurately locates and automatically labels them for subsequent drilling and grouting treatment;

[0136] Warning information is also pushed to user terminals, including mobile APP and PC software, to achieve remote monitoring and real-time warning. Users can dispatch prevention and repair measures in a timely manner based on the warning information.

[0137] Remote control server, used to store detection data, provide historical data analysis and long-term monitoring and detection services. The server also supports remote control of control equipment, including the placement of traps and insecticides and automatic drilling and grouting, to achieve precise termite control and repair.

[0138] At the same time, the remote control server also provides an intuitive operation interface, allowing operators to monitor and control the detection process and view the prevention and control results in the vehicle cab or remote monitoring room;

[0139] The remote control server also has a trace management function. Each monitoring point has a unique number and satellite positioning, which is convenient for users to view and manage at any time.

[0140] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. Vehicle-mounted intelligent dam hazard detection and repair system, characterized by: It includes intelligent visual recognition subsystem, embankment detection subsystem, detection data processing module, module power supply subsystem, vehicle-mounted hydraulic subsystem, automatic positioning and marking subsystem, drilling and grouting subsystem, feedback alarm mechanism module, and remote control server; The intelligent visual recognition subsystem and the dam detection subsystem collect basic internal and external information data of the dam. The data processing module cleans, classifies, and organizes the data. The detection data is analyzed and calculated to locate cracks and cavities that pose hidden dangers within the dam and the range of termite activity, and then propose targeted repair plans. The intelligent visual recognition subsystem uses computers and cameras to simulate human visual functions, capture images of the dam surface, and achieve object recognition, positioning, tracking, and measurement. The visual recognition subsystem includes cameras, image sensors, image signal processors, and serializers. The dam detection subsystem uses infrared thermal imaging and penetrating radar to detect cracks and cavities inside the dam. Both infrared thermal imaging and penetrating radar are vehicle-mounted, making them mobile. The detection results will be transmitted through the communication module of the vehicle-mounted ground penetrating radar in a wired or wireless manner, and the detection data will be transmitted in real time to a remote data center or vehicle-mounted monitoring station (video display terminal); The images and data are processed using big data analysis algorithms and AI intelligent recognition technology to determine the location, shape, and size of termite nests, dam cavities, and cracks; The detection data processing module is responsible for receiving, storing, processing and real-time analysis of data, including data collection, data cleaning, data conversion, data analysis and data visualization; The data transmission operation during the detection data processing process adopts 4G / 5G high-speed wireless communication technology, combined with the local wireless communication network, to ensure that the monitoring data is transmitted to the remote control server or vehicle-mounted monitoring station (video display terminal) in real time and accurately; After the data is transmitted to the remote control server, the received signals are mined and analyzed to identify the specific location, number, type and degree of damage of termite activities, and generate corresponding early warning information and prevention and control instructions; At the same time, an AI recognition model is trained based on known termite nest and cavity data. During the training process, the model learns the characteristic information of termite nests and cavities and continuously optimizes its recognition capabilities. The pre-processed detection information is input into the trained AI recognition model, which intelligently identifies the input data and outputs the recognition results of termite nest tunnels, cavities, and infested areas. The recognition results may include information such as the location, size, shape, and confidence level of the nest. Based on the output of the AI ​​recognition model, the identified termite nests, cavities, and infested areas are located and marked on the map of the backend management operation terminal. The module power supply subsystem uses a lithium battery and solar energy dual-energy power supply system to provide continuous power to the intelligent visual recognition subsystem, dam detection subsystem, and detection data processing module to ensure the normal operation of the system in various environments; The vehicle-mounted hydraulic subsystem includes a carrier vehicle, a hydraulic support assembly, and a slope monitoring arm. The hydraulic support assembly is located above the carrier vehicle, and one end of the slope monitoring arm is connected to the hydraulic support assembly. The front end of the carrier vehicle is also equipped with a dam crest transverse detection box. The dam crest transverse detection box and the slope monitoring arm constitute a detection system. in, The hydraulic support assembly includes a machine base, a motor mounted above the machine base, a hydraulic pump mounted at one end of the machine base and connected to a hydraulic rod, one end of the hydraulic rod being hinged to a slope monitoring arm and the other end being hinged to the machine base, and a vertical column connected to one end of the slope monitoring arm being provided above the machine base; The slope monitoring arm is composed of a plurality of mutually hinged connecting rods. The bottom end of the slope monitoring arm is provided with an arm bottom plate, and the end of the slope monitoring arm away from the column is provided with a marking component. The automatic positioning and marking subsystem is used to increase inspection speed. The inspection device and the preventive grouting device are installed on two vehicles with different functions, facilitating rapid mobile inspection and preventive repair in different embankment areas. The subsystem includes a marker for label positioning. A linear motor is installed above the marker and connected to the slope monitoring arm via a bracket. A storage box for labels is also provided on one side of the bracket. The drilling and grouting subsystem includes a slurry agitator, a high-pressure mud pump, a delivery pipeline, and a high-pressure grouting head; Feedback alarm mechanism module: When the system detects termite nests, dam cavities, and termite surface features, it will immediately send warning information to the operation platform and technicians. The warning information includes alarm sound, light, image, depth and range information, and accurately locates and automatically labels them for subsequent drilling and grouting treatment; Remote control server, used to store detection data, provide historical data analysis and long-term monitoring and detection services. The server also supports remote control of control equipment, including the placement of traps and insecticides and automatic drilling and grouting, to achieve precise termite control and repair. At the same time, the remote control server also provides an intuitive operation interface, allowing operators to monitor and control the detection process and view the prevention and control results in the vehicle cab or remote monitoring room.

2. The vehicle-mounted intelligent dam hazard detection and repair system according to claim 1 is characterized by: The specific process of the intelligent visual recognition subsystem is as follows: S1, the camera is responsible for capturing light information on the dam surface and its surrounding areas, including cracks and cavities on the dam surface and signs of termite activity; S2. The light captured by the lens is converted into an electrical signal by the image sensor. The image sensor has high sensitivity and high resolution and can accurately convert light information into digital image signals. S3. These digital image signals are transmitted to an image signal processor; the processor performs filtering, enhancement, and correction on the image signals to improve image clarity and contrast, making it easier to identify and capture signs of termite activity. S4. The processed image signal is serialized through a serializer and transmitted to the vehicle system's storage device or wireless transmitter. If the camera is equipped with a wireless transmitter, the processed image is transmitted to the remote monitoring center in real time. The image and data are processed using big data analysis algorithms and AI intelligent recognition technology to determine the type of termite and the scope of the termite damage. S5. The management staff observes the embankment through the monitoring screen to see if there are any signs of termite activity; If termite activity is detected, take appropriate preventive measures immediately.

3. The vehicle-mounted intelligent dam hazard detection and repair system according to claim 1 is characterized by: The infrared thermal imaging helps identify termite activity areas by detecting temperature differences on the dam surface. This captures the heat changes generated by termites during nesting and daily activities, allowing termite nests and activity areas to be clearly identified and located, and providing evidence for ground-penetrating radar detection results. Vehicle-mounted infrared thermal imaging can quickly travel through various areas of the dam, thereby improving work efficiency and reducing interference with the normal operation of the dam. Through continuous scanning by the infrared thermal imager, signs of termite activity can be captured and recorded in real time.

4. The vehicle-mounted intelligent dam hazard detection and repair system according to claim 1 is characterized by: The penetrating radar transmits electromagnetic waves into the ground through a transmitting antenna. When the electromagnetic waves propagate in the underground medium and encounter abnormal structures such as termite nests, cavities or cracks, the electromagnetic waves will be reflected at the interface due to the difference in physical properties of conductivity and dielectric constant between these structures and the surrounding medium. The reflected electromagnetic waves are then captured by a receiving antenna and, after signal processing, form an image or data of the underground structure.

5. The vehicle-mounted intelligent dam hazard detection and repair system according to claim 1 is characterized by: The detection data processing module also includes an information transmission module, which is as follows: (1) Collection and encoding: The ground-penetrating radar, infrared detectors, and cameras in the vehicle-mounted detection system collect information such as the underground structure, temperature distribution, and visible images of the dam in real time; This information needs to be encoded to maintain data integrity and accuracy during transmission; (2) Wireless transmission: The encoded data is transmitted to the backend management operation terminal through the wireless communication module of the vehicle-mounted detection system; The wireless communication module is responsible for sending data packets to the designated network address to ensure that data can be transmitted to the background in real time and stably; (3) Receiving and decoding: After the backend management operation terminal receives the data packet, it decodes and restores the original detection information; The decoding process needs to ensure the accuracy and integrity of the data so that subsequent big data analysis algorithms and AI intelligent identification and positioning can proceed smoothly.

6. The vehicle-mounted intelligent dam hazard detection and repair system according to claim 1 is characterized by: The data processing flow is as follows: (1) The backend management operation terminal pre-processes the received detection information, including data cleaning, denoising, and format conversion, to improve data quality and provide a reliable data foundation for subsequent analysis algorithms; (2) extracting characteristic information related to termite nests and cavities from the preprocessed data, including abnormal reflections from underground structures, abnormal areas of temperature distribution, and specific shapes or textures in visible images; (3) Using big data analysis algorithms to conduct in-depth mining and analysis of the extracted feature information, including one or more machine learning algorithms and deep learning algorithms, to identify the potential location, size, and morphology of termite nests and cavities.

7. The vehicle-mounted intelligent dam hazard detection and repair system according to claim 1 is characterized by: The warning information is also pushed to user terminals, including mobile phone APP and PC software, to achieve remote monitoring and real-time warning. Users can dispatch prevention and repair in a timely manner based on the warning information.

8. The vehicle-mounted intelligent dam hazard detection and repair system according to claim 1 is characterized by: The remote control server also has a trace management function. Each monitoring point has a unique number and satellite positioning, which is convenient for users to view and manage at any time.

9. The vehicle-mounted intelligent dam hazard detection and repair system according to claim 1 is characterized by: The specific process of the automatic positioning marking subsystem is as follows:

1. Enter the site; 2. Lower the baffle; 3. Start hydraulic pressure; 4. Fill the benchmark; 5. Rotate and extend the measuring arm; 6. Lower the measuring arm; 7. Video surveillance; 8. Drive detection; 9. Target alarm; 10. Parking marking; (1) Cavity alarm; launch cavity mark; drill hole to be filled; (2) Ant alarm; launching ant markers; drilling holes and burying ant pills; (3) Temperature alarm; transmit temperature scale; Send supporting evidence; 11. Send information; 12.Store information; 13. Drive renewal inspection; 14. Back and forth; 15. Retract and extend the measuring arm; 16. End the test.

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