WO2017202284A1 - 道面自主检测智能装置、机器人系统及检测方法 - Google Patents
道面自主检测智能装置、机器人系统及检测方法 Download PDFInfo
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- WO2017202284A1 WO2017202284A1 PCT/CN2017/085444 CN2017085444W WO2017202284A1 WO 2017202284 A1 WO2017202284 A1 WO 2017202284A1 CN 2017085444 W CN2017085444 W CN 2017085444W WO 2017202284 A1 WO2017202284 A1 WO 2017202284A1
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- detection
- road surface
- vehicle body
- pavement
- autonomous
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- E—FIXED CONSTRUCTIONS
- E01—CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
- E01C—CONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
- E01C23/00—Auxiliary devices or arrangements for constructing, repairing, reconditioning, or taking-up road or like surfaces
- E01C23/01—Devices or auxiliary means for setting-out or checking the configuration of new surfacing, e.g. templates, screed or reference line supports; Applications of apparatus for measuring, indicating, or recording the surface configuration of existing surfacing, e.g. profilographs
Definitions
- the invention relates to a road surface detecting device and a detecting method, in particular to a road surface autonomous detecting intelligent device, a robot system and a detecting method.
- Highway maintenance includes roadbed maintenance, road maintenance, bridge maintenance, tunnel maintenance, tunnel maintenance, signage maintenance, house maintenance, mechanical and electrical facilities maintenance, etc.
- Pavement maintenance is an important part of highway maintenance.
- the premise of pavement maintenance is the detection and evaluation of road conditions.
- the road surface condition assessment and evaluation mainly relies on manual visual inspection, which is mainly based on experience and poor detection accuracy.
- manual instrumentation detection which is better than the accuracy of visual data, but there are also the following problems:
- manual data collection is susceptible to manual operation errors, data accuracy is not guaranteed, and personal safety
- the second is that the rate of manual detection is low, it requires a lot of manpower, the labor intensity is high and the efficiency is low, the detection time is long, and the traffic efficiency is affected.
- the third is that the manual test can only be a single instrument, and only one defect can be detected at a time. The road surface condition cannot be fully evaluated.
- the object of the present invention is to provide a road surface self-detecting intelligent device, a robot system and a detecting method.
- the invention adopts an automatic design concept, and collects road surface condition information through an intelligent device, which can greatly improve the detection efficiency and has the same detection standard.
- the data is highly accurate.
- the invention also provides a pavement detecting method through a control system Real-time control of the car body can improve the detection efficiency and the accuracy of the test results.
- a self-detecting intelligent device for a road surface comprising a vehicle body, a control system, a non-destructive testing system and an operating mechanism are arranged on the vehicle body, the operating mechanism is mounted on the vehicle body, the non-destructive testing system is connected with the operating mechanism, and the control system and the operating mechanism are electrically
- the connection, the control system and the non-destructive testing system are electrically connected;
- the non-destructive testing system comprises a resistivity meter, the operating mechanism comprises a telescopic mechanism, and the resistivity meter is connected to the telescopic mechanism.
- the resistivity meter is used to detect the corrosion condition of the concrete and steel bars on the road surface, and the telescopic mechanism is used to control the shape of the resistivity meter.
- the telescopic mechanism In the non-use state, the telescopic mechanism is in a contracted state, on the one hand, the overall occupied space can be reduced, and on the other hand, the resistivity meter can be prevented from being damaged due to collision; in the use state, the telescopic mechanism can displace the resistivity meter to a specified state. Position and position it at a specified angle to improve the accuracy of the resistivity data.
- the non-destructive testing system further includes an impact echometer and a sonicator, and the ultrasonic device is connected to the telescopic mechanism.
- the impact echometer is used to detect the transverse crack inside the pavement; the ultrasonic wave generated by the ultrasonic instrument has strong penetrating ability, can detect the geological conditions below the pavement, and provides reference for comprehensive analysis.
- the non-destructive testing system also includes a ground penetrating radar, and the ground penetrating radar is connected to the telescopic mechanism. Among them, the ground penetrating radar is used to detect the deterioration of the internal road surface.
- the non-destructive testing system also includes a first laser measuring instrument, the first laser measuring instrument being coupled to the telescopic mechanism. Among them, the first laser measuring instrument is used for detecting road surface flatness and macro texture.
- the non-destructive testing system also includes a second laser measuring instrument, and the second laser measuring instrument is coupled to the telescopic mechanism. Among them, the second laser measuring instrument is used to detect the depth of the road rut.
- the NDT system also includes a high-definition camera and a panoramic camera, and both the HD camera and the panoramic camera are connected to the telescopic mechanism.
- the detecting device of the invention integrates a plurality of non-destructive detecting sensors into one body, and can comprehensively evaluate the condition of the road surface (including internal) at one time, and provides various reference data for evaluating the road surface condition, and the detection efficiency is greatly improved, and the road is also reduced.
- the impact of accessibility is a plurality of non-destructive detecting sensors into one body, and can comprehensively evaluate the condition of the road surface (including internal) at one time, and provides various reference data for evaluating the road surface condition, and the detection efficiency is greatly improved, and the road is also reduced.
- the components of the non-destructive testing system are located in the vehicle body to prevent wear, collision and damage of the components, thereby improving the service life of the device.
- a wheel, a speed reduction mechanism, a drive motor and a power supply device are mounted on the vehicle body, the drive motor is connected to the wheel through a speed reduction mechanism, the power supply device and the drive motor are electrically connected, and the drive motor and the control system are electrically connected.
- the wheel is an independently driven omnidirectional wheel, preferably a Mecanum wheel. With all-round wheels, it can realize all-round movements such as straight, 45-degree oblique, horizontal, and in-situ steering, and the system flexibility is greatly improved.
- the vehicle body is a crawler type vehicle body.
- a crawler belt, a speed reduction mechanism, a drive motor and a power supply device are mounted on the crawler type vehicle body, and the drive motor is connected to the crawler belt through a speed reduction mechanism, the power source device and the drive motor are electrically connected, and the drive motor and the control system are electrically connected.
- the bottom of the vehicle body is provided with an independent drive steering device.
- Independent drive steering package The driving motor mounted on the vehicle body, the driving motor and the control system are electrically connected, and further comprises a worm gear mechanism, a mounting frame and a tire, the driving motor is meshed by the gear and the worm gear mechanism, and the worm gear mechanism is arranged at the mounting frame Upper, the tire is mounted on the mounting frame.
- the driving motor is controlled by the control system. When the vehicle body needs to be turned, the driving motor runs according to the control signal of the control system, and the mounting frame is rotated by the gear and the worm mechanism.
- the tire includes a hub, and a hub motor assembly is disposed in the hub.
- the hub motor assembly is electrically connected to the control system, and the mounting frame is provided with a shock absorber.
- Each tire is provided with a hub motor assembly, and a shock absorber is arranged on the outer frame to reduce the vibration amplitude of the vehicle body and improve the service life of the precision instrument on the vehicle body.
- the control system includes a navigation sensing system and a vehicle body control box, and the navigation sensing system includes a global positioning system, a gyroscope, an encoder, and an obstacle avoidance laser radar.
- the navigation scheme based on global positioning system, gyroscope, encoder and obstacle avoidance laser radar multi-sensor data fusion realizes the high-precision navigation of the centimeter-scale outdoor and the position calibration of the detection data, which can greatly improve the detection accuracy.
- the telescopic mechanism is a linear cylinder and/or a multi-stage telescopic mechanism.
- the telescopic mechanism can also adopt another form of structure, that is, a linear cylinder and a connecting rod.
- the linear cylinder is mounted on the vehicle body, and the connecting rod is hinged with the linear cylinder. .
- the road surface autonomous detection robot system including the aforementioned road surface autonomous detection intelligent device further includes a remote monitoring assistance system, and the vehicle body and the remote monitoring assistant system transmit information through wireless communication.
- the remote monitoring assistant system has the function of remote control, which can send the collected test data to the external display device; it is used for the monitoring of the running state of the car body and the manual intervention of the car body action when necessary (the start and stop of the mobile platform and the operating mechanism) Etc), as well as the storage and processing of non-destructive testing data.
- the remote monitoring assistance system includes a control cabinet, a console, and a monitoring screen, and the console and the monitoring screen are electrically connected to the control cabinet.
- the method for detecting a surface of a smart device or a robot system using the method of the present invention includes the following steps:
- S2 manually determining (using a prior art means, such as a differential GPS system, etc.) key point coordinates of the area to be detected, and setting a detection area of the road surface;
- S3 The vehicle body independently plans the road surface detection path according to the shape size of the area to be detected;
- S4 controlling the vehicle body to move along the detection path of the road surface, stopping every 0.5-10 m to perform road surface and internal condition detection, and collecting road condition information;
- S5 Perform real-time monitoring analysis or post-delay analysis based on the collected road condition information.
- the detection path in step S3 is planned by the following method: measuring the length and width of the detection area of the road surface (rectangular road surface) Or the key point coordinates further fit the shape and size of the area to be detected (non-rectangular road surface), and control the vehicle body to move along the S-shaped path to comprehensively detect the road surface detection area.
- the comprehensive detection of the detection area of the road surface means that the vehicle body moves line by line along the length or width direction of the detection area of the measurement road surface, and each time the detection width of the vehicle body is moved forward, thereby comprehensively detecting the road surface. (See Figure 15 for the illustration).
- the road condition information includes corrosion conditions of pavement concrete and steel bars, and/or thickness of each layer of the road surface, and/or internal cracks of the road surface, and/or water seepage conditions below the road surface, and/or The void condition below the road surface, and/or the load carrying capacity of the road surface, and/or the road surface flatness and macrotexture, and/or the road rut depth, and/or the surface image of the road surface, and/or the road surface panorama around the vehicle body.
- the intelligent self-detection intelligent device and the robot system of the invention adopts a high-precision outdoor navigation system, an integrated non-destructive detection system and a multi-data fusion system, which can realize independent and efficient detection of the road surface and its internal conditions, and the detection efficiency, economy and The safety is greatly improved, and the overall performance of the system is good;
- the invention adopts the control mode of “macro remote control, micro-autonomous, remote monitoring”, can independently plan the detection path, implement the detection operation, and has the function of detecting parameter setting and online adjustment; using the panoramic camera to realize the working environment and state monitoring of the robot, complete The necessary manual intervention for the macro-operation and detection process before the detection; with macroscopic micro-detection monitoring and autonomous operation functions, intelligent detection is realized; at the same time, the safety of detection is improved because no manual driving is required;
- the invention adopts a navigation scheme based on GPS, gyroscope, encoder and lidar multi-sensor data fusion to realize the position calibration of the outdoor centimeter-level high-precision navigation and detection data, which greatly improves the accuracy of the detection data. ;
- the invention integrates a plurality of non-destructive testing sensors into one body, and can comprehensively evaluate the condition of the road surface (including internal) at one time, and the detection efficiency is greatly improved, and the influence on road traffic is also reduced;
- the invention realizes the automatic analysis and fusion of the detection data, the detection result is visually visible, the detection efficiency is greatly improved, and the long-term dynamic detection of the road state can be realized, and on this basis, more predictive maintenance can be realized;
- the operating mechanism of the invention is customized according to the detection process, which can ensure the detection effect and improve the detection accuracy
- the mobile platform of the present invention can adopt the following three forms: (1) an omnidirectional wheeled moving mechanism using a Mecanum wheel as an example, which can realize all-round movements such as straight, oblique driving, lateral driving, and in-situ steering. It can more flexibly set the walking route of the car body, and then complete the self-checking operation more efficiently; (2) It adopts the double crawler structure, can be turned in place, has good adaptability to the road surface condition, and can adapt to various road surfaces.
- the utility model expands the applicable range of the intelligent device and the robot system of the invention; (3) adopts the hub-type independent driving steering device, and can realize the omnidirectional movement such as straight, oblique driving, lateral driving, and in-situ steering by adjusting the direction of each wheel. It is more flexible to set the walking path of the car body.
- the pavement self-detecting robot system of the present invention can also adopt a multi-robot cooperative working mode, which can further Increase detection efficiency.
- FIG. 1 is a schematic structural view of an operating state of a road surface autonomous detecting intelligent device (using a wheeled moving mechanism) according to the present invention
- FIG. 2 is a schematic structural view of the non-operating state of the autonomous detection intelligent device of the road surface shown in FIG. 1;
- FIG. 3 is a schematic structural view showing an operating state of the intelligent self-detecting device (using a crawler type moving mechanism) of the present invention
- FIG. 4 is a schematic structural view of the non-operating state of the self-detecting intelligent device of the road surface described in FIG. 3;
- FIG. 5 is a schematic structural view showing an operating state of the intelligent self-detecting device (using a hub-type moving mechanism) of the present invention
- Figure 6 is a schematic structural view of an embodiment of an independently driven steering device
- Figure 7 is a partial enlarged view of the hub motor assembly of Figure 6;
- Figure 8 is a schematic diagram of the basic control principle of the present invention.
- Figure 9 is a schematic view showing an arrangement of an embodiment of the non-destructive testing system.
- Figure 10 is a schematic structural view of an embodiment of a telescopic mechanism
- Figure 11 is a schematic structural view of another embodiment of a telescopic mechanism
- Figure 12 is a schematic structural view of still another embodiment of the telescopic mechanism
- Figure 13 is a schematic overall view of a robot system including a remote monitoring assistance system structure diagram
- Figure 14 is a control architecture diagram of an embodiment of the present invention.
- Figure 15 is a schematic view showing the operation mode of the intelligent device for detecting a road surface in the present invention.
- Embodiment 1 of the present invention includes a vehicle body 1 on which a control system 20, a non-destructive detection system 19, and Operating mechanism 3, operating mechanism 3 mounted on vehicle body 1
- the non-destructive testing system 19 is connected to the operating mechanism 3, the control system 20 and the operating mechanism 3 are electrically connected, the control system 20 and the non-destructive testing system 19 are electrically connected;
- the non-destructive testing system 19 includes a resistivity meter 9, and the operating mechanism 3 includes a telescopic mechanism 2
- the resistivity meter 9 is connected to the telescopic mechanism 2.
- the telescopic mechanism 2 is used to control the free transition between the entire operating state and the non-operating state.
- the units of the non-destructive testing system 19 are placed to a position that facilitates the function of each unit.
- the telescopic mechanism 2 to which the resistivity meter 9 is attached is attached to the front side of the vehicle body 1, and the telescopic mechanism 2 of the structure shown in Fig. 10 is used.
- the non-destructive testing system 19 further includes an impact echometer and a sonicator 6, which is connected to the telescopic mechanism 2.
- the telescopic mechanism 2 that connects the impact echometer and the ultrasonic device 6 is mounted on the front side of the vehicle body 1, and the telescopic mechanism 2 of the structure shown in FIG. 10 is used.
- the telescopic mechanism 2 includes a linear cylinder 12 and a connecting rod 13, A linear cylinder 12 is mounted on the vehicle body 1, and a connecting rod 13 is hinged to the linear cylinder 12.
- the non-destructive testing system 19 further includes a ground penetrating radar 10 connected to the telescopic mechanism 2, and the telescopic mechanism 2 connected to the ground penetrating radar 10 is mounted on the rear side of the vehicle body 1, and the telescopic mechanism 2 of the structure shown in Fig. 10 is used.
- the non-destructive testing system 19 further comprises a first laser measuring device 7, which is connected to the telescopic mechanism 2.
- the non-destructive testing system 19 also includes a second laser measuring instrument 8 that is coupled to the telescoping mechanism 2.
- the telescopic mechanism 2 that connects the first laser measuring instrument 7 and the second laser measuring instrument 8 is mounted on the middle of the front side of the vehicle body 1, both of which employ the telescopic mechanism 2 as shown in FIG.
- the non-destructive testing system 19 also includes a high definition camera 11 and a panoramic camera 4, both of which are coupled to the telescopic mechanism 2.
- the telescopic mechanism 2 that connects the panoramic camera 4 is mounted on the top of the vehicle body 1 and employs a telescopic mechanism 2 as shown in FIG. 12; the telescopic mechanism 2 that connects the high-definition camera 11 is mounted on the upper portion of the vehicle body 1, and is stretched as shown in FIG. Agency 2.
- the vehicle body 1 is mounted with a wheel 501, a speed reduction mechanism, a drive motor and a power supply device.
- the drive motor is connected to the wheel 501 via a speed reduction mechanism.
- the power supply unit and the drive motor are electrically connected, and the drive motor and the control system 20 are electrically connected.
- the power supply device supplies power to the driving motor, and the driving motor is controlled by the control system 20, and the driving motor drives the wheel 501 to rotate, thereby controlling the movement of the vehicle body.
- the wheels 501 are all independently driven omnidirectional wheels.
- the speed of the omnidirectional wheels is used to realize the straight line of the vehicle body 1, the 45 degree oblique line, the horizontal line and the in-situ steering. motion.
- the control system 20 includes a navigation sensing system and a vehicle body control box including a global positioning system, a gyroscope, an encoder, and an obstacle avoidance laser radar.
- Embodiment 2 A road surface autonomous detection intelligent device (see FIG. 3, FIG. 4, FIG. 8 and FIG. 9), which is the same as the first embodiment, except that the moving mechanism, that is, the vehicle body 1 is a crawler type vehicle body.
- the crawler type vehicle body is provided with a crawler belt 502, a speed reduction mechanism, a drive motor and a power supply device.
- the drive motor is connected to the crawler belt 502 through a speed reduction mechanism, and the power supply device and the drive motor are electrically connected, and the drive motor and the control system 20 are electrically connected.
- the power supply device supplies power to the drive motor, and the drive motor is controlled by the control system 20, and the drive motor drives the crawler belt 502 to move, thereby controlling the movement of the vehicle body.
- Embodiment 3 A road surface autonomous detection intelligent device (see FIG. 5, FIG. 8 and FIG. 9), which is different from the embodiment 1 except that the moving mechanism, that is, the bottom of the vehicle body 1 is provided with an independent driving steering device. 503.
- the independent drive steering device 503 includes a drive motor 22 mounted on the vehicle body 1, the drive motor 22 and the control system 20 are electrically connected, and further includes a worm gear mechanism 24, a mounting frame 25 and a tire. 26, the drive motor 22 is meshed by the gear 23 and the worm gear mechanism 24, the worm gear mechanism 24 is disposed on the mounting frame 25, and the tire 26 is mounted on the mounting frame 25.
- the tire 26 includes a hub 29 in which an in-wheel motor assembly 28 is disposed.
- the hub motor assembly 28 is electrically coupled to the control system 20, and the mounting frame 25 is provided with a shock absorber 27.
- the vehicle body 1 is moved by the independent drive steering device 503 and is turned in place.
- the hub motor assembly 28 is disposed on the mounting frame 25 via the spindle 33 and is secured to the hub 29 by fastening screws 30; the hub motor assembly 28 includes externally disposed on the spindle 33 via bearings 34.
- the rotor 32 and the stator winding 31, the sun gear 37, the carrier 36 and the planet gear 35 are sleeved on the main shaft 33.
- a road surface autonomous detection intelligent device (see FIG. 1, FIG. 2, FIG. 8 and FIG. 9) includes a vehicle body 1 on which a control system 20, a non-destructive detection system 19 and an operating mechanism 3 are provided.
- the operating mechanism 3 is mounted on the vehicle body 1, the non-destructive testing system 19 is connected to the operating mechanism 3, the control system 20 and the operating mechanism 3 are electrically connected, the control system 20 and the non-destructive testing system 19 are electrically connected; the non-destructive testing system 19 includes a resistivity meter 9.
- the operating mechanism 3 includes a telescopic mechanism 2 to which the resistivity meter 9 is coupled.
- the vehicle body 1 is mounted with a wheel 501, a speed reduction mechanism, a drive motor and a power supply device.
- the drive motor is connected to the wheel 501 via a speed reduction mechanism, the power supply device and the drive motor are electrically connected, and the drive motor and the control system 20 are electrically connected; 501 is the Mecanum wheel.
- the control system 20 includes a navigation sensing system and a vehicle body control box including a global positioning system, a gyroscope, an encoder, and an obstacle avoidance laser radar.
- the telescopic mechanism 2 is a linear cylinder 12 and/or a multi-stage telescopic mechanism.
- Embodiment 5 A road surface autonomous detection intelligent device (see FIG. 3, FIG. 4, FIG. 8 and FIG. 9), which is the same as that of Embodiment 4, except that the moving mechanism is that the vehicle body 1 is a crawler type vehicle body.
- the crawler type vehicle body is provided with a crawler belt 502, a speed reduction mechanism, a drive motor and a power supply device.
- the drive motor is connected to the crawler belt 502 through a speed reduction mechanism, and the power supply device and the drive motor are electrically connected, and the drive motor and the control system 20 are electrically connected.
- Embodiment 6 A road surface autonomous detection intelligent device (see FIG. 5, FIG. 8 and FIG. 9), which is different from the embodiment 4, except that the moving mechanism, that is, the bottom of the vehicle body 1 is provided with an independent driving steering device. 503.
- the independent drive steering device 503 includes a drive motor 22 mounted on the vehicle body 1, the drive motor 22 and the control system 20 are electrically connected, and further includes a worm gear mechanism 24, a mounting frame 25 and a tire. 26, the drive motor 22 is meshed by the gear 23 and the worm gear mechanism 24, the worm gear mechanism 24 is disposed on the mounting frame 25, and the tire 26 is mounted on the mounting frame 25.
- the tire 26 includes a hub 29 within which an in-wheel motor assembly 28, an in-wheel motor assembly 28 and the control system 20 are disposed Electrically connected, the mounting frame 25 is provided with a shock absorber 27.
- the vehicle body 1 is moved by the independent drive steering device 503 and is turned in place.
- the hub motor assembly 28 is disposed on the mounting frame 25 via the spindle 33 and is secured to the hub 29 by fastening screws 30; the hub motor assembly 28 includes externally disposed on the spindle 33 via bearings 34.
- the rotor 32 and the stator winding 31, the sun gear 37, the carrier 36 and the planet gear 35 are sleeved on the main shaft 33.
- Embodiment 7 A road surface self-detecting intelligent device (see FIG. 1, FIG. 2, FIG. 8, and FIG. 9) includes a vehicle body 1 on which a control system 20, a non-destructive detecting system 19, and an operating mechanism 3 are provided.
- the operating mechanism 3 is mounted on the vehicle body 1, the non-destructive testing system 19 is connected to the operating mechanism 3, the control system 20 and the operating mechanism 3 are electrically connected, the control system 20 and the non-destructive testing system 19 are electrically connected; the non-destructive testing system 19 includes a resistivity meter 9.
- the operating mechanism 3 includes a telescopic mechanism 2 to which the resistivity meter 9 is coupled.
- the non-destructive testing system 19 also includes an impact echometer and a sonicator 6, which is coupled to the telescoping mechanism 2.
- the non-destructive testing system 19 also includes a ground penetrating radar 10 that is coupled to the telescoping mechanism 2.
- the non-destructive testing system 19 further comprises a first laser measuring device 7, which is connected to the telescopic mechanism 2.
- the non-destructive testing system 19 also includes a second laser measuring instrument 8 that is coupled to the telescoping mechanism 2.
- the vehicle body 1 is mounted with a wheel 501, a speed reduction mechanism, a drive motor and a power supply device.
- the drive motor is connected to the wheel 501 via a speed reduction mechanism, the power supply device and the drive motor are electrically connected, and the drive motor and the control system 20 are electrically connected; 501 is the Mecanum wheel.
- the control system 20 includes a navigation sensing system and a vehicle body control box including a global positioning system, a gyroscope, an encoder, and an obstacle avoidance laser radar.
- the telescopic mechanism 2 (shown in FIG. 10) includes a linear cylinder 12 and a connecting rod 13 on which a linear cylinder 12 is mounted, and a connecting rod 13 is hinged to the linear cylinder 12.
- Embodiment 8 A road surface autonomous detection intelligent device (see FIG. 3, FIG. 4, FIG. 8 and FIG. 9), which is the same as the embodiment 7, except that the moving mechanism, that is, the vehicle body 1 is a crawler type vehicle body.
- the crawler type vehicle body is provided with a crawler belt 502, a speed reduction mechanism, a drive motor and a power supply device.
- the drive motor is connected to the crawler belt 502 through a speed reduction mechanism, and the power supply device and the drive motor are electrically connected, and the drive motor and the control system 20 are electrically connected.
- Embodiment 9 A road surface autonomous detection intelligent device (see FIG. 5, FIG. 8 and FIG. 9), which is the same as the embodiment 7, except that the moving mechanism, that is, the bottom of the vehicle body 1 is provided with an independent driving steering device. 503.
- the independent drive steering device 503 includes a drive motor 22 mounted on the vehicle body 1, the drive motor 22 and the control system 20 are electrically connected, and further includes a worm gear mechanism 24, a mounting frame 25 and a tire. 26, the drive motor 22 is meshed by the gear 23 and the worm gear mechanism 24, the worm gear mechanism 24 is disposed on the mounting frame 25, and the tire 26 is mounted on the mounting frame 25.
- the tire 26 includes a hub 29 in which an in-wheel motor assembly 28 is disposed.
- the hub motor assembly 28 is electrically coupled to the control system 20, and the mounting frame 25 is provided with a shock absorber 27.
- the vehicle body 1 is moved by the independent drive steering device 503 and is turned in place.
- Embodiment 10 A road surface autonomous detection intelligent device (see FIG. 1, FIG. 2, FIG. 8 and FIG. 9), including a vehicle body 1,
- the vehicle body 1 is provided with a control system 20, a non-destructive testing system 19 and an operating mechanism 3.
- the operating mechanism 3 is mounted on the vehicle body 1, and the non-destructive testing system 19 is connected to the operating mechanism 3.
- the control system 20 and the operating mechanism 3 are electrically connected and controlled.
- the system 20 is electrically coupled to the non-destructive testing system 19; the non-destructive testing system 19 includes a resistivity meter 9, and the operating mechanism 3 includes a telescoping mechanism 2 to which the resistivity meter 9 is coupled.
- the non-destructive testing system 19 further includes a ground penetrating radar 10, a first laser measuring instrument 7, a high-definition camera 11 and a panoramic camera 4, a ground penetrating radar 10, a first laser measuring instrument 7, a high-definition camera 11 and a panoramic camera 4, and a telescopic mechanism 2 Connected.
- Embodiment 11 A road surface autonomous detection robot system (see FIG. 13), comprising the vehicle body 1 and the remote monitoring assistance system 21 according to any one of Embodiments 1-10, the vehicle body 1 and the remote monitoring assistant
- the system 21 transmits information by wireless communication.
- the remote monitoring assistance system 21 includes a control cabinet 18, a console 14 and a monitoring screen 15, and both the console 14 and the monitoring screen 15 are electrically connected to the control cabinet 18.
- the vehicle body 1 of the present invention is used for collecting geological information on the road surface and below the road surface, and then transmitting the collected information to the remote monitoring assistance system 21, which may be in the form of the modified vehicle 16 (as shown in FIG. 9).
- the power conversion device 17, the control cabinet 18, the operation console 14 and the monitoring screen 15 are provided in the modified vehicle.
- the monitoring screen 15 is a multi-screen display system, and the power supply device 17 supplies power to the remote monitoring assistant system 21, and the detected geological information is first. It is sent to the control cabinet 18 by wireless means (WIFI, etc.), and then displayed through the monitoring screen 15, the collected geological information can be processed through the console 14, and the remote monitoring assistant system 21 can also be used to control the working state of the vehicle body. It can also be used as a remote transportation and storage device for the car body.
- WIFI wireless means
- Embodiment 12 A method for detecting a surface of a smart device or a robot system using the method of the present invention, comprising the following steps:
- S2 manually determining (via a differential GPS system) key point coordinates of the area to be detected, and setting a detection area of the road surface;
- S3 The vehicle body independently plans the road surface detection path according to the shape size of the area to be detected;
- S4 controlling the vehicle body to move along the detection path of the road surface, stopping every 0.5-10 m to perform road surface and internal condition detection, and collecting road condition information;
- S5 Perform real-time monitoring analysis or post-delay analysis based on the collected road condition information.
- the detection path in step S3 is planned by the following method: when the detection area is rectangular, the length and width of the detection area of the road surface are measured; when the detection area is non-rectangular, the coordinates of the key points of the detection detection area are further fitted to be detected. The shape and size of the area; then controlling the body to move along the S-shaped path to fully detect the surface inspection area.
- the road condition information includes corrosion conditions of pavement concrete and steel bars, and/or thickness of each layer of the road surface, and/or internal cracks of the road surface, and/or water seepage conditions below the road surface, and/or void conditions below the road surface. And/or pavement Load carrying capacity, and/or road surface flatness and macrotexture, and/or road rut depth, and/or surface image of the road surface, and/or road surface panorama around the vehicle body.
- the intelligent device for detecting the autonomous surface of the road surface is first manually controlled to the position of the starting point of the detection work, and then the detection path is independently planned and detected according to the manually set detection width and length of the road surface, and the data transmission is monitored.
- the remote monitoring assistant system 21 realizes post-processing and visualization of data fusion;
- the control system 20 of the road surface autonomous detection intelligent device adopts an industrial PC as a main control system, and each function block is modularized, including the vehicle body 1 and the operating mechanism 3
- the remote monitoring assistant system 21 is provided with the detection parameter setting and the online adjustment function, and has the functions of data visualization, data fusion processing and comprehensive evaluation, and has the function of remotely controlling the vehicle body operation.
- the vehicle body equipped with the non-destructive testing system is first transported to the job site by the remote monitoring assistant system 21, and then moved to the detection starting point, and the road surface to be detected is manually set. Plan the detection path autonomously. After the detection operation is started, the vehicle body moves according to the requirements of the detection process (moving speed, movement start and stop, etc.), and simultaneously controls the operation of the operating mechanism (stretching, unfolding, etc.) to perform the detecting operation.
- the vehicle body transmits the detection data to the remote monitoring assistant system 21 through wireless communication (WIFI, 4G, etc.), and the detected data can be manually analyzed and analyzed by post or delayed analysis, or can be automatically analyzed by the instrument in real time.
- the manual can monitor the working state of the vehicle body in real time, and if necessary, control the operation through the remote monitoring assistant system 21.
- the overall control system is mainly composed of an on-board controller 1 and an on-board controller 2 and a remote monitoring platform (ie, a remote monitoring assistant system 21) disposed on the vehicle body.
- the on-board controller uses a real-time operating system to collect and fuse data from laser radar, GPS, inertial sensor, and encoder.
- the WIFI and the handheld controller communicate, and the on-board controller is also responsible for the movement of the vehicle. Control and path planning and control of the operating mechanism.
- the on-board controller 2 adopts the Windows system, and is mainly responsible for collecting the data of the non-destructive sensing sensor instruments of each road surface, and communicating with the remote monitoring assistant system 21 through WIFI.
- the remote monitoring assistant system 21 is mainly responsible for monitoring the running state of the vehicle body and displaying and processing the non-destructive testing data.
- FIG. 15 it is a schematic diagram of the working mode of the smart device for detecting the autonomous device.
- the vehicle body After the detection start point and the end point are set, the vehicle body independently plans its motion path according to the area of the road surface to be detected and the single detectable area of the vehicle body.
- the main principle is to ensure the full coverage of the road surface to be inspected and the motion path of the vehicle body. The shortest.
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Abstract
Description
Claims (19)
- 一种道面自主检测智能装置,其特征在于,包括车体(1),车体(1)上设有控制系统(20)、无损检测系统(19)和操作机构(3),操作机构(3)安装在车体(1)上,无损检测系统(19)和操作机构(3)相连,控制系统(20)和操作机构(3)电连接,控制系统(20)和无损检测系统(19)电连接;无损检测系统(19)包括电阻率仪(9),操作机构(3)包括伸缩机构(2),电阻率仪(9)和所述伸缩机构(2)相连。
- 根据权利要求1所述的道面自主检测智能装置,其特征在于,无损检测系统(19)还包括冲击回波仪和超声波仪(6),超声波仪(6)和伸缩机构(2)相连。
- 根据权利要求1所述的道面自主检测智能装置,其特征在于,无损检测系统(19)还包括探地雷达(10),探地雷达(10)和伸缩机构(2)相连。
- 根据权利要求1所述的道面自主检测智能装置,其特征在于,无损检测系统(19)还包括第一激光测量仪(7),第一激光测量仪(7)和伸缩机构(2)相连。
- 根据权利要求4所述的道面自主检测智能装置,其特征在于,无损检测系统(19)还包括第二激光测量仪(8),第二激光测量仪(8)和伸缩机构(2)相连。
- 根据权利要求1所述的道面自主检测智能装置,其特征在于,无损检测系统(19)还包括高清相机(11)和全景相机(4),高清相机(11)和全景相机(4)均和伸缩机构(2)相连。
- 根据权利要求1-6任一项所述的道面自主检测智能装置,其特征在于,车体(1)上安装有车轮(501)、减速机构、驱动电机和电源装置,驱动电机通过减速机构和车轮(501)相连,电源装置和驱动电机电连接,驱动电机和所述控制系统(20)电连接;所述车轮(501)是独立驱动的全方位轮,优选为麦克纳姆轮。
- 根据权利要求1-6任一项所述的道面自主检测智能装置,其特征在于,车体(1)为履带式车体。
- 根据权利要求8所述的道面自主检测智能装置,其特征在于,履带式车体上安装有履带(502)、减速机构、驱动电机和电源装置,驱动电机通过减速机构和履带(502)相连,电源装置和驱动电机电连接,驱动电机和所述控制系统(20)电连接。
- 根据权利要求1-6任一项所述的道面自主检测智能装置,其特征在于,车体(1)的底部设有独立驱动转向装置(503)。
- 根据权利要求10所述的道面自主检测智能装置,其特征在于,所述独立驱动转向装置(503)包括安装在车体(1)上的驱动电机(22),驱动电机(22)和所述控制系统(20)电连接,还包括涡轮蜗杆机构(24)、安装外框(25)和轮胎(26),驱动电机(22) 通过齿轮(23)和涡轮蜗杆机构(24)啮合,涡轮蜗杆机构(24)设置在安装外框(25)上,轮胎(26)安装在安装外框(25)上。
- 根据权利要求11所述的道面自主检测智能装置,其特征在于,所述轮胎(26)包括轮毂(29),轮毂(29)内设有轮毂电机总成(28),轮毂电机总成(28)和所述控制系统(20)电连接,所述安装外框(25)上设有减震器(27)。
- 根据权利要求1-6任一项所述的道面自主检测智能装置,其特征在于,所述控制系统(20)包括导航传感系统和车体控制箱,导航传感系统包括全球定位系统、陀螺仪、编码器和避障激光雷达。
- 根据权利要求13所述的道面自主检测智能装置,其特征在于,所述伸缩机构(2)是直线气缸(12)和/或多级伸缩机构;或者所述伸缩机构(2)由直线气缸(12)和连杆(13)构成,直线气缸(12)安装于所述车体(1)上,连杆(13)与直线气缸(12)铰接。
- 包含权利要求1-14任一项所述道面自主检测智能装置的道面自主检测机器人系统,其特征在于,还包括远程监控辅助系统(21),车体(1)和远程监控辅助系统(21)之间通过无线通讯方式传输信息。
- 根据权利要求15所述的道面自主检测机器人系统,其特征在于,远程监控辅助系统(21)包括控制机柜(18)、操作台(14)和监控屏幕(15),操作台(14)和监控屏幕(15)均和控制机柜(18)电连接。
- 采用权利要求1-14任一项所述智能装置或者权利要求15-16任一项所述机器人系统的道面检测方法,其特征在于,包括下述步骤:S1:控制车体移动至道面指定的位置;S2:人工确定待检测区域的关键点坐标,并设定道面的检测区域;S3:车体根据待检测区域形状尺寸自主规划道面检测路径;S4:控制车体沿所述道面检测路径移动,每隔0.5-10m停下进行路面及内部状况检测,并采集道路状况信息;S5:根据采集到的道路状况信息进行实时监控分析或延后分析。
- 根据权利要求17所述的道面检测方法,其特征在于,所述步骤S3具体为:测量道面检测区域的长和宽或关键点坐标进而拟合出待检测区域的形状和尺寸,控制车体沿S形路线移动从而对道面检测区域进行全面检测。
- 根据权利要求17或18所述的道面检测方法,其特征在于,所述道路状况信息包括 路面混凝土和钢筋的腐蚀状况、和/或路面各层的厚度、和/或路面内部裂纹、和/或路面以下的渗水情况、和/或路面以下的空洞情况、和/或路面的承载能力、和/或路面平整度和宏观纹理、和/或路面车辙深度、和/或路面的地表图像、和/或车体周围的路面全景。
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CN109142441A (zh) * | 2018-10-25 | 2019-01-04 | 枣庄学院 | 一种识别潜在道路翻浆的移动式探测装置及其探测方法 |
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Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2658211Y (zh) * | 2003-08-28 | 2004-11-24 | 武汉武大卓越科技有限责任公司 | 智能道路路面自动检测车 |
CN101487223A (zh) * | 2009-02-27 | 2009-07-22 | 长安大学 | 激光道路综合检测车 |
WO2011049118A1 (ja) * | 2009-10-20 | 2011-04-28 | 株式会社パスコ | 路面画像撮影・編集装置及び路面画像撮影・編集プログラム |
CN203270425U (zh) * | 2013-04-16 | 2013-11-06 | 王文齿 | 一种防干扰型道路检测车 |
CN204212188U (zh) * | 2014-10-31 | 2015-03-18 | 广东省建筑科学研究院集团股份有限公司 | 一种检测混凝土基桩桩身完整性及混凝土结构质量的装置 |
CN105887634A (zh) * | 2016-05-23 | 2016-08-24 | 桂仲成 | 履带式道面自主检测智能装置 |
CN105891454A (zh) * | 2016-05-23 | 2016-08-24 | 桂仲成 | 轮毂式道面自主检测机器人系统及检测方法 |
CN105926419A (zh) * | 2016-05-23 | 2016-09-07 | 桂仲成 | 道面自主检测机器人系统及检测方法 |
CN105937199A (zh) * | 2016-05-23 | 2016-09-14 | 桂仲成 | 轮毂式道面自主检测智能装置 |
CN105951569A (zh) * | 2016-05-23 | 2016-09-21 | 桂仲成 | 履带式道面自主检测机器人系统及检测方法 |
CN106049243A (zh) * | 2016-05-23 | 2016-10-26 | 桂仲成 | 道面自主检测智能装置 |
CN205934677U (zh) * | 2016-05-23 | 2017-02-08 | 桂仲成 | 一种履带式道面自主检测机器人 |
-
2017
- 2017-05-23 DE DE212017000120.8U patent/DE212017000120U1/de active Active
- 2017-05-23 WO PCT/CN2017/085444 patent/WO2017202284A1/zh active Application Filing
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2658211Y (zh) * | 2003-08-28 | 2004-11-24 | 武汉武大卓越科技有限责任公司 | 智能道路路面自动检测车 |
CN101487223A (zh) * | 2009-02-27 | 2009-07-22 | 长安大学 | 激光道路综合检测车 |
WO2011049118A1 (ja) * | 2009-10-20 | 2011-04-28 | 株式会社パスコ | 路面画像撮影・編集装置及び路面画像撮影・編集プログラム |
CN203270425U (zh) * | 2013-04-16 | 2013-11-06 | 王文齿 | 一种防干扰型道路检测车 |
CN204212188U (zh) * | 2014-10-31 | 2015-03-18 | 广东省建筑科学研究院集团股份有限公司 | 一种检测混凝土基桩桩身完整性及混凝土结构质量的装置 |
CN105887634A (zh) * | 2016-05-23 | 2016-08-24 | 桂仲成 | 履带式道面自主检测智能装置 |
CN105891454A (zh) * | 2016-05-23 | 2016-08-24 | 桂仲成 | 轮毂式道面自主检测机器人系统及检测方法 |
CN105926419A (zh) * | 2016-05-23 | 2016-09-07 | 桂仲成 | 道面自主检测机器人系统及检测方法 |
CN105937199A (zh) * | 2016-05-23 | 2016-09-14 | 桂仲成 | 轮毂式道面自主检测智能装置 |
CN105951569A (zh) * | 2016-05-23 | 2016-09-21 | 桂仲成 | 履带式道面自主检测机器人系统及检测方法 |
CN106049243A (zh) * | 2016-05-23 | 2016-10-26 | 桂仲成 | 道面自主检测智能装置 |
CN205934677U (zh) * | 2016-05-23 | 2017-02-08 | 桂仲成 | 一种履带式道面自主检测机器人 |
Cited By (40)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB2571103A (en) * | 2018-02-16 | 2019-08-21 | Jaguar Land Rover Ltd | An autonomous vehicle system |
GB2571103B (en) * | 2018-02-16 | 2020-10-21 | Jaguar Land Rover Ltd | An autonomous vehicle system. |
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