Cement pavement sound wave intelligent detection vehicle

Abstract

The utility model relates to a cement pavement sound wave intelligent detection vehicle, which can detect cracks, voids, cavities and insufficient strength under the pavement structure through periodic detection and data analysis of the pavement by sound wave nondestructive testing. The utility model detection vehicle comprises a vehicle head and a carriage, a contact type sound wave excitation wheel is arranged at the front center of the carriage, a detector is arranged on the vehicle head, and the detector comprises a 5G signal receiver, a GPS signal receiver, an intelligent voiceprint collector, an intelligent data edge processor, a display module, an acquisition uploading module and an automatic marking module. The 5G signal receiver, the GPS signal receiver and the intelligent voiceprint collector are sequentially electrically connected. The intelligent data edge processor is electrically connected with the 5G signal receiver, the GPS signal receiver, the intelligent voiceprint collector, the display module, the acquisition uploading module and the automatic marking module, and the acquisition uploading module uploads information into a cloud platform.

Description

Technical Field

[0001] This utility model relates to the field of highway engineering technology, and in particular to a cement pavement acoustic intelligent detection vehicle. Background Technology

[0002] The design life of cement pavement is usually 20 to 30 years, but early damage is common in actual operation. It often starts from the delamination and subsidence of the base course and subbase. If we can take effective preventive maintenance measures as early as possible to address pumping, subsidence and delamination of the pavement, strengthen the bottom of the pavement, enhance the overall strength of the foundation, and distribute vehicle load evenly, we can extend the service life of cement concrete pavement.

[0003] Currently, there is a lack of rapid, accurate, and effective equipment for detecting voids under cement concrete pavement slabs. This results in the failure to detect voids in a timely manner, or even if voids are detected, it is impossible to comprehensively evaluate their degree, size, and location. Furthermore, by the time severe pumping, misalignment, or subsidence occurs, the slabs have usually already cracked, thus failing to achieve the purpose of preventative maintenance. Therefore, establishing a void assessment index system tailored to the actual conditions of cement concrete pavements in my country, and developing a simple and reliable method for void detection and identification based on this system, is of significant theoretical and practical importance for the development of void assessment for cement concrete pavement slabs. Utility Model Content

[0004] In view of this, the present invention provides a cement pavement acoustic intelligent inspection vehicle, which conducts regular inspections and data analysis of the pavement through acoustic non-destructive testing. It can detect cracks, voids, cavities, and insufficient strength defects under the pavement structure, mark them specially, predict the development trend of defects, take preventive maintenance measures in advance, and extend the service life of the pavement.

[0005] To address the problems existing in the prior art, the technical solution of this utility model is: a cement road surface acoustic intelligent inspection vehicle, the inspection vehicle comprising a cab and a cargo box, wherein a contact-type acoustic excitation wheel is disposed at the center of the front of the cargo box, and an inspection instrument is disposed on the cab, the inspection instrument comprising a 5G signal receiver, a GPS signal receiver, an intelligent voiceprint collector, an intelligent data edge processor, a display module, a data acquisition and upload module, an automatic marking module, and an operating handle; the 5G signal receiver, GPS signal receiver, and intelligent voiceprint collector are electrically connected in sequence; the intelligent data edge processor is electrically connected to the 5G signal receiver, GPS signal receiver, intelligent voiceprint collector, display module, data acquisition and upload module, and automatic marking module respectively, and the automatic marking module is a road defect self-spraying device, disposed at the rear of the cargo box.

[0006] Furthermore, the detector also includes a power module, which supplies power to it.

[0007] Furthermore, the testing vehicle is also equipped with an emergency braking device.

[0008] Furthermore, the testing vehicle is controlled by a remote control.

[0009] Compared with the prior art, the advantages of this utility model are as follows: 1) Based on the principle of sound wave propagation and the requirements of non-destructive testing, this utility model combines the intelligent data edge processor built into the product. The intelligent data edge processor enables efficient and accurate detection of voids, cavities, and insufficient strength in the internal structure of cement pavement, providing a scientific and reliable solution for highway maintenance and engineering quality assessment.

[0010] 2) Precise positioning: Utilizing advanced intelligent data edge processors and pavement defect sprayers, the system can accurately identify and mark the specific locations of pavement voids, providing precise data support for subsequent repair work.

[0011] 3) High-efficiency detection: The four-wheeled remote-controlled unmanned vehicle carries the vehicle to achieve rapid and continuous road detection, which greatly improves detection efficiency and reduces labor costs.

[0012] 4) Easy to operate: The equipment adopts remote control operation, which is simple and easy to use. Complex testing tasks can be completed without professional personnel.

[0013] 5) Real-time feedback: The equipment can analyze and process audio signals in real time and mark the location of the voids immediately, so that on-site staff can understand the test results in a timely manner.

[0014] 6) Data reliability: Through precise acquisition and analysis of the hammer impact audio signal, the accuracy and reliability of the test results are ensured, providing strong data support for road maintenance. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of the structure of this utility model.

[0016] Figure 2 This is a connection diagram of the various modules of this utility model.

[0017] Figure 3 This is a hardware connection diagram of the present invention.

[0018] Labeling descriptions: 1-Power supply module; 2-5G signal receiver; 3-GPS signal receiver; 4-Intelligent voiceprint collector; 5-Intelligent data edge processor; 6-Display module; 7-Acquisition and upload module; 8-Automatic labeling module; 9-Contact acoustic excitation wheel; 10-Emergency braking device. Detailed Implementation

[0019] To make the objectives, technical solutions, and advantages of this utility model clearer, the present utility model will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present utility model and are not intended to limit the present utility model.

[0020] This invention develops a continuous-impact intelligent detection device for cement pavement voids through structural, signal, mechanical, computer software and hardware approaches, aiming to achieve rapid, accurate and complete detection of cement pavement voids (including size, range and degree).

[0021] Example: A type of intelligent acoustic detection vehicle for cement pavement, such as Figure 1 As shown, the inspection vehicle includes a cab and a cargo box. The inspection vehicle is a four-wheeled remote-controlled vehicle, controlled by a remote controller. A contact-type acoustic excitation wheel 9 is installed at the center of the front of the cargo box. A road defect sprayer is installed at the rear of the cargo box, and an emergency braking device 10 is also installed on the inspection vehicle.

[0022] like Figure 2 As shown, a detector is installed on the front of the vehicle. The detector includes a power module 1, a 5G signal receiver 2, a GPS signal receiver 3, a smart voiceprint collector 4, a smart data edge processor 5, a display module 6, a data acquisition and upload module 7, an automatic tagging module 8, and a cloud platform (a third-party platform for information display). The 5G signal receiver 2, GPS signal receiver 3, and smart voiceprint collector 4 are electrically connected in sequence. The smart data edge processor 5 is electrically connected to the 5G signal receiver 2, GPS signal receiver 3, smart voiceprint collector 4, display module 6, data acquisition and upload module 7, and automatic tagging module 8. The data acquisition and upload module 7 is electrically connected to the cloud platform to upload information. The power module 1 supplies power to each module in the detector.

[0023] The aforementioned automatic marking module 8 is a road defect sprayer.

[0024] This invention employs a remote-controlled acoustic testing vehicle for cement pavement. As the four-wheeled remote-controlled unmanned testing vehicle travels on the cement pavement, it generates sound by striking the ground with a contact-type acoustic excitation wheel 9. The intelligent acoustic signature collector 4 processes the collected sound and transmits the data to an intelligent data edge processor 5. Because the sound is abnormal at the location of pavement voids, the intelligent data edge processor identifies the void location using the collected information. After processing, the intelligent data edge processor 5 sends the result to the pavement defect sprayer. The pavement defect sprayer at the rear of the acoustic testing instrument automatically marks the void location.

[0025] The specific marking method is as follows: Data processing is performed on the identified detached sections. After the 5G signal receiver 2 and GPS signal receiver 3 receive the positioning information, the positioning information is output to the vehicle control module on the one hand, and the data is transmitted to the road defect sprayer on the other hand. The data is then uploaded to the cloud platform through the upload module 7. Finally, the cloud platform transmits the data to the display module 6 to complete the information display. Each module interacts with the power supply relationship and functional data to form a complete system operation link.

[0026] I. Overall Structure and Modular Composition of this Utility Model Integrated structural design: The equipment adopts a modular design, with a compact size, facilitating vehicle-mounted or handheld operation. The main shell is made of high-strength engineering aluminum alloy, providing dustproof functionality and adaptability to complex environments.

[0027] Human-machine interface: The vehicle control system is equipped with a touch screen (third-party external display module) to support real-time data visualization and operation command input; the device is equipped with physical buttons (such as power switch and emergency brake knob).

[0028] Intelligent voiceprint collector: collects road surface sound data in real time and builds a database based on the collected sound; the intelligent voiceprint collector is Rohde VideoMic NTG.

[0029] Power supply: Built-in high-capacity lithium battery, supporting continuous operation for more than 8 hours, equipped with fast charging interface, and can be connected to external car power adapter.

[0030] Vehicle control: As the central hub of the system, it coordinates the operation of various components and has a built-in embedded processor (vehicle processor) that supports multi-threaded task scheduling.

[0031] Communication: 5G signal receiver and intelligent data edge processor enable bidirectional data transmission and remote command reception with the cloud platform.

[0032] The 5G signal receiver is a smart IoT 5G plug-in router, converting to dual-band WiFi, full network compatibility CPE, wireless to wired connection for China Mobile, China Unicom and China Telecom, and is industrial grade.

[0033] The GPS signal receiver provides centimeter-level positioning and orientation integrated navigation.

[0034] The intelligent data edge processor (YahBoom NVIDIA Jetson Orin NX Super development board, AI kit core, ROS artificial intelligence development kit, OrinNX16GB) is a processor with intelligent voiceprint recognition.

[0035] The display module is a Xia Jing portable monitor with a touchscreen, 14 inches, and 2K resolution.

[0036] Positioning: Integrating GPS (Global Navigation Satellite System) and inertial navigation technology, positioning accuracy reaches the centimeter level, and the detection position coordinates are recorded in real time.

[0037] II. Technical Features and Working Principle of this Utility Model Acoustic wave detection technology Transmission and reception: The contact-type acoustic excitation wheel 9 emits high-frequency sound waves (frequency range below 200kHz) by striking the ground, and the intelligent acoustic signature collector 4 receives the reflected signals. By calculating the sound wave propagation path through the time difference, defects such as road surface cracks and cavities are identified.

[0038] Data processing and analysis Signal preprocessing: An adaptive filtering algorithm is used to eliminate environmental noise (such as vehicle vibration interference), and frequency domain features are extracted by FFT (Fast Fourier Transform), which is a current technology.

[0039] Defect identification algorithm: Based on machine learning models (such as convolutional neural networks), the acoustic signal is classified and anomalies such as cracks and voids are automatically marked (marking module).

[0040] Cloud Platform and Data Management Cloud storage: Detection data is uploaded to the cloud platform in real time, supporting historical data backtracking and multi-device collaborative analysis.

[0041] Visualized Reports: The cloud platform generates inspection reports that display the road surface health status in the form of heat maps, 3D models, etc., and pushes them to display modules or mobile terminals.

[0042] Results feedback: The test data is uploaded to the cloud platform through the vehicle's communication components, and users can view detailed reports through a mobile app or PC.

[0043] This invention addresses the issue of pavement defects: Cement pavements commonly suffer from defects such as voids and cracks. Traditional detection methods struggle to detect these hidden defects and may damage the pavement. The acoustic wave detector, by emitting and receiving sound waves, accurately identifies the location, extent, and severity of defects like voids and cracks based on differences in sound wave propagation speed and amplitude in different media (such as normal pavement and pavement with defects). Furthermore, this non-destructive testing method will not damage the pavement.

[0044] In terms of testing efficiency: Faced with the demand for large-scale cement pavement testing, manual testing or traditional equipment testing is inefficient and slow. This testing instrument can quickly scan the road surface, acquire a large amount of testing data in a short time, improve testing efficiency, and facilitate a rapid understanding of the condition of large areas of the road.

[0045] In terms of data processing and decision support, this invention addresses the need to analyze and process post-detection data to guide maintenance decisions. The acoustic wave detector can possess data analysis capabilities, transforming the collected acoustic wave data into intuitive information on road defects and pavement performance indicators (such as pavement condition indices), providing a basis for maintenance departments to formulate scientific and reasonable maintenance plans, and avoiding blind maintenance and resource waste.

[0046] Figure 3 The hardware connection diagram of the device shows that the power module 1 is connected to the intelligent data edge processor 5 via a GPIO interface; the 5G signal receiver 2 is embedded in the intelligent data edge processor 5; the GPS signal receiver 3, the intelligent voiceprint collector 4, the data acquisition and upload module 7, and the automatic tagging module 8 are connected to the intelligent data edge processor 5 via USB; the display module 6 is connected to the intelligent data edge processor 5 via an HDMI interface; and the operating handle is connected to the intelligent data edge processor 5 via a GPIO interface.

[0047] III. Operation process of this utility model Step 1: Install the components of the intelligent cement pavement void detection equipment. This mainly includes: installing the pavement defect self-spraying system, the contact-type acoustic excitation wheel, the intelligent acoustic fingerprint collector, and the GPS signal receiver. Attach the dedicated intelligent acoustic fingerprint collector to the rear of the detection equipment using a flexible connection such as sponge or a bracket. Simply connect the road-specific contact-type acoustic excitation wheel to the rear of the detection equipment. After the self-test is complete, release the equipment's brake button and start the equipment.

[0048] Step 2: Connect the operating platform. Turn on the dedicated operating handle and connect the operating system to the cement pavement acoustic wave detector.

[0049] Step 3: Pre-operation test. Access the operating platform and connect the platform to the operating device. Test the positioning and communication status. If the GPS and communication status are good, the test data column will display green; otherwise, it will display red and black.

[0050] Step 4: Pre-operation parameter adjustment of the testing equipment. Before the equipment is put into operation, parameters such as file names and equipment operating speed need to be modified. Modify the file names and equipment operating speed to suit the testing items.

[0051] Step 5: Equipment Operation. Click "Start Audio," the vehicle will move, and data collection will begin. Use the directional control keys on the handle to control the equipment and guide it to detect the areas of the road surface that need to be inspected.

[0052] Step 6: Data Acquisition Process Control. During equipment operation, while the unmanned electric four-wheeled vehicle is in motion, the acoustic signature acquisition device collects acoustic signature signals emitted by the contact-type acoustic excitation wheel; the GPS signal receiver simultaneously receives the current latitude and longitude coordinates; in the intelligent data edge processor, the acoustic signature signal and latitude and longitude coordinates are first synchronized, and a corresponding synchronization file is generated; secondly, the acoustic signature signal is processed and identified to determine if there are any anomalies in the roadbed, and the judgment result is written into the synchronization file; finally, if an anomaly is detected and reaches a set threshold, the road surface defect self-spraying system is triggered to mark the corresponding road surface location. After acquisition, the intelligent data edge processor sends the synchronization signal and the acquired acoustic signature signal to the server. On the server side, the acoustic signature signal (time domain) is converted into a frequency domain feature map and displayed in conjunction with the synchronization file.

[0053] Step 7: Data Collection Completed and Results Uploaded. Locate the data file you just collected in the "Data" folder and upload the completed file. Turn off the vehicle and operating system.

[0054] The above description is only a preferred embodiment of the present utility model and is not intended to limit the scope of protection of the present utility model. It should be noted that any improvements and modifications made by those skilled in the art without departing from the principle of the present utility model should be considered as within the scope of protection of the present utility model.

Claims

1. A cement road surface acoustic intelligent inspection vehicle, the inspection vehicle comprising a cab and a cargo box, characterized in that, The front center of the carriage is provided with a contact-type acoustic excitation wheel (9), and a detector is provided on the front of the carriage. The detector includes a 5G signal receiver (2), a GPS signal receiver (3), an intelligent voiceprint collector (4), an intelligent data edge processor (5), a display module (6), a data acquisition and upload module (7), an automatic marking module (8), and an operating handle. The 5G signal receiver (2), the GPS signal receiver (3), and the intelligent voiceprint collector (4) are electrically connected in sequence. The intelligent data edge processor (5) is electrically connected to the 5G signal receiver (2), the GPS signal receiver (3), the intelligent voiceprint collector (4), the display module (6), the data acquisition and upload module (7), and the automatic marking module (8), respectively. The automatic marking module (8) is a road defect sprayer and is located at the rear of the carriage.

2. The intelligent acoustic detection vehicle for cement pavement according to claim 1, characterized in that, The detector also includes a power module (1) which supplies power to it.

3. A cement pavement acoustic intelligent inspection vehicle according to claim 1 or 2, characterized in that, The testing vehicle is also equipped with an emergency braking device (10).

4. The intelligent acoustic detection vehicle for cement pavement according to claim 3, characterized in that, The inspection vehicle is controlled by a remote control.

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