CN210262625U - Intelligent detection and analysis device for surface smoothness of pavement structure - Google Patents
Intelligent detection and analysis device for surface smoothness of pavement structure Download PDFInfo
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- CN210262625U CN210262625U CN201921049618.1U CN201921049618U CN210262625U CN 210262625 U CN210262625 U CN 210262625U CN 201921049618 U CN201921049618 U CN 201921049618U CN 210262625 U CN210262625 U CN 210262625U
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Abstract
The utility model discloses a shop front structure surface smoothness intellectual detection system and analytical equipment, including frame, power supply accumulate system and the actuating system that traveles install in the rear of frame, and the detection part is installed to the top of frame, single chip microcomputer control system and wireless communication module, and single chip microcomputer control system passes through wireless communication module and power supply accumulate system, the actuating system that traveles, wireless communication is all realized to the detection part, still sets up on the frame and reserves intelligent arithmetic unit and carries on the district. The beneficial effects of the utility model are that, it is practical to have simple structure, easily dismantles the equipment, and the usage is easy and simple to handle, and the treatment effeciency is high, fixes a position accurate characteristics, can accomplish the detection and the evaluation of surface smoothness nature fast.
Description
Technical Field
The utility model relates to a road and bridge engineering technical field especially relate to a shop front structure surface smoothness intellectual detection system and analytical equipment.
Background
The surfacing of the pavement structure serves as a functional layer, and the surface smoothness of the surfacing has a significant influence on the service performance. Taking the road surface as an example, the detection of the road surface flatness and the construction depth is an important index in the road detection, and the flatness detection accounts for about 20% of the total evaluation score. The road surface flatness not only can obviously influence the driving comfort, but also can even threaten the driving safety; the uneven road surface of driving in-process leads to the child noise increase, can seriously influence people's life and quality of taking a bus, for satisfying the demand that shop front structure surface smoothness short-term test, it is significant to study a swift accurate check out test set.
At present, the detection means of the road surface evenness mainly comprises: laser road surface flatness appearance, vehicular jolt accumulation appearance, optics intellectual detection system etc.. Although the methods have high measurement accuracy, the automatic measurement and the remote data transmission control are difficult to realize.
SUMMERY OF THE UTILITY MODEL
In order to solve the technical problem, the utility model discloses a shop front structure surface smoothness intellectual detection system and analytical equipment.
In order to achieve the above purpose, the utility model adopts the following technical scheme:
the utility model provides a shop front structure surface smoothness intellectual detection system and analytical equipment, includes frame, power supply accumulate system and the actuating system that traveles install in the rear of frame, detecting element, single chip microcomputer control system and wireless communication module are installed to the top of frame, single chip microcomputer control system all realizes wireless communication through wireless communication module and power supply accumulate system, the actuating system that traveles, detecting element, still set up on the frame and reserve intelligent arithmetic equipment carrying area.
Furthermore, the detection part comprises a binocular camera, a triaxial acceleration sensor, a reflection type incremental encoder, a laser ranging sensor and an RTK rear differential positioning sensor, the binocular camera is installed in front of the frame, and the triaxial acceleration sensor, the laser ranging sensor and the RTK rear differential positioning sensor are connected with the frame through sensor installation bases.
Furthermore, the laser ranging sensor is installed on the side edge of the frame, the measuring range is not less than +/-100 mm, and the repeatability measuring precision is not less than 300 microns.
Further, the driving system comprises a motor, an L293D driving module and driving wheels, wherein the L293D driving module is installed behind the frame, and the driving wheels are installed on two sides of the frame.
Furthermore, the reflection type increment encoder is fixedly arranged on the driving wheel or the wheel shaft of the driving wheel and used for obtaining the moving distance and the moving speed.
Further, the running speed of the driving wheel is not more than 0.5 m/s.
Furthermore, an anti-collision photoelectric proximity switch is further mounted on the front end face of the frame.
Further, the power supply and storage system is made of a high-capacity lithium battery.
Furthermore, the singlechip control system takes an STC89C52RC51 singlechip as a core, and the number of interfaces is not less than 32.
The utility model has the advantages that the device is not only suitable for the rapid evaluation of the pavement surface smoothness of the road and bridge structure, but also suitable for the intelligent detection and evaluation of the pavement surface smoothness of other various structures; the device has the characteristics of simple and practical structure, easy disassembly and assembly, simple and convenient usage and operation, high processing efficiency and accurate positioning, and can quickly finish the detection and evaluation of the surface smoothness; the intelligent smoothness detection based on the fusion of multiple sensors such as image analysis, laser ranging and the like can realize wireless transmission and intelligent judgment of detection data, remarkably improve the automation and intelligence level of pavement structure detection, and avoid a large amount of manual repeated labor; in addition, the device can also meet the requirements of research and detection work of various detection institutions, scientific research institutions and higher schools.
Drawings
FIG. 1 is a schematic structural view of the present invention;
wherein, 1-a frame; 2-a sensor mounting base; 3-anti-collision photoelectric proximity switch; 4-a wireless communication module; 5-a single chip microcomputer control system; 6-a driving system; 7-power supply and storage system; 8-binocular camera; 9-a three-axis acceleration sensor; 10-laser ranging sensor; 11-an RTK rear differential positioning sensor; 12-a reflective incremental encoder; and 13-reserving an intelligent operation equipment carrying area.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
As shown in the figure, the intelligent detection and analysis device for the surface smoothness of the pavement structure comprises a frame 1, a power supply and storage system 7 and a driving system 6, wherein the power supply and storage system 7 and the driving system 6 are installed behind the frame 1, a detection part, a single chip microcomputer control system 5 and a wireless communication module 4 are installed above the frame 1, the single chip microcomputer control system 5 realizes wireless communication with the power supply and storage system 7, the driving system 6 and the detection part through the wireless communication module 4, and a reserved intelligent operation equipment carrying area 13 is further arranged on the frame 1; the device uses the dolly as marcing and intelligent carrying tool.
Particularly, the detection part comprises a binocular camera 8, a three-axis acceleration sensor 9, a reflection type increment encoder 12, a laser ranging sensor 10 and an RTK rear differential positioning sensor 11, wherein the binocular camera 8 is installed in front of the frame 1 and used as a remote control sensor for advancing; the triaxial acceleration sensor 9, the laser ranging sensor 10 and the RTK rear differential positioning sensor 11 are connected with the frame 1 through the sensor mounting base 2.
Particularly, the laser ranging sensor 10 is arranged on the side edge of the frame 1, the measuring range is not less than +/-100 mm, and the repeatability measuring precision is not less than 300 microns.
Particularly, the driving system 6 comprises a motor, an L293D driving module and a driving wheel, the L293D driving module is installed at the rear of the frame 1 to drive the motor on the frame 1, the rotation speed of the motor and the running speed of the trolley are controlled by adjusting the duty ratio of an output signal, and the singlechip control system 5 completes the operation task; the driving wheels are mounted on both sides of the frame 1, and the position and attitude of the driving wheels are estimated based on the measured travel distance and speed and the measurement data of the RTK rear differential sensor using a wheel type travel mechanism, and used as a basis for navigation and other behaviors. The L293D driving module can realize independent control of four motors of the trolley and complete PWM speed regulation of the trolley.
Particularly, the reflection type increment encoder 12 is fixedly arranged on a driving wheel or a driving wheel axle and used for obtaining the moving distance and the speed of the frame 1, the reflection type increment encoder is used for achieving accurate calculation of the advancing distance and the speed, and the advancing distance and the position of the trolley are accurately corrected by means of RTK test data to obtain the real-time position of the trolley with the precision not lower than centimeter level.
Particularly, the driving speed of the driving wheel is not more than 0.5m/s, and the trolley is controlled to slowly move, so that detection and analysis are conveniently completed.
In particular, an anti-collision photoelectric proximity switch 3 is further mounted on the front end face of the frame 1 and serves as an anti-collision limit sensor.
Particularly, the power supply and storage system 7 is made of high-capacity lithium batteries, so that the energy consumption requirements that the carrying load of the frame 1 is not lower than 5kg and the single-walking distance is not lower than 500m are met, 24V lithium batteries are adopted, the rated capacity is not lower than 60Ah, a high-current wire is connected with an Anderson plug in a charging and discharging mode, the cycle life of the batteries is not lower than 500 times, and a stainless steel shell is matched.
The utility model discloses in the working process:
the vibration acceleration of the trolley is measured in real time by using the three-axis acceleration sensor 9, the acceleration in 3 directions of an X axis, a Y axis and a Z axis is measured, and the current gradient value of the intelligent trolley can be obtained through the operation of the single chip microcomputer control system 5. And performing integrated calculation with the laser test flatness data to obtain the inclination and structure change data of the tested part.
The wireless communication module 4 is used for transmitting data between a computer and the trolley, realizes the remote control of the movement of the trolley and the real-time transmission of detection data, and has the main tasks of: acquiring information, and transmitting flatness data test data back to a computer control terminal or a cloud platform in real time; and (5) controlling the trolley, namely sending instructions to control the trolley to move forwards, backwards and stop through a computer.
The intelligent trolley monitoring system has the advantages that a binocular vision camera shooting technology is adopted, real-time monitoring of the advancing process of the intelligent trolley is achieved, meanwhile, a vision navigation control program can be carried to achieve inertial autonomous intelligent judgment navigation, in addition, intelligent analysis is conducted on surface layer images of a pavement structure based on binocular vision images, abnormal event image algorithms are utilized to qualitatively judge the construction quality and the cleaning degree of the pavement surface, the surface quality is autonomously judged according to image operation results, if the surface quality is unqualified, a buzzer alarm is used for automatically giving an alarm, and position data and real-time pictures collected by a binocular camera 8 are transmitted back to a computer control terminal or a cloud platform through a wireless data transmission module; when binocular vision is used for shooting and observing, the shooting light supplement module can be used for automatically supplementing light, the module senses the illumination condition of the external environment by using the illumination sensor, and the automatic control device is used for controlling the on and off of the light supplement lamp.
The intelligent operation can be carried out by a smart phone APP or a single chip microcomputer, and the interface is a general wireless data interface.
After the pavement structure smoothness detection is finished, the data can be timely transmitted back to the indoor data server by using the wireless data transmission module, and an indoor operator can call the server data; if wireless transmission is limited, a storage module can be carried on the trolley to store position information, images and flatness data, and the capacity of the storage module is not less than 1 TB.
An autonomous alarm buzzing module is further mounted on the frame 1, and a buzzing alarm is located at the upper right corner of the single chip microcomputer control system.
The single chip microcomputer control system takes an STC89C52RC51 single chip microcomputer as a core, the number of interfaces is not less than 32, and the interfaces are all led out by adopting pin headers, so that later expansion and upgrading are facilitated. In addition, the singlechip core can also adopt an STC12C5A60S2-1 chip with higher transmission speed and chip capacity. The chip of the single chip microcomputer is also provided with 1 WIFI data transmission power supply interface, 1 ultrasonic module interface, 2 LCD1602 liquid crystal display screen sockets, 2 USB serial port communication interfaces, 1 battery power supply input interface, 1 single chip microcomputer reset key, 4 independent control keys, 1 photoelectric proximity switch interface and 4 motor signal interfaces; the singlechip core board can provide 6-12V wide voltage input and output 5V according to the specified voltage after being stabilized by LM 2596S.
The utility model discloses a difference positioning technique behind RTK realizes the centimeter level accurate positioning of detection position to the dolly is as loading platform, through two mesh camera 8 collections and lays layer surface image, recycles the intelligent analysis module, the completion is to laying layer structure surface quality's intelligent analysis and evaluation, utilize laser ranging sensor 10 to realize the automatic real-time measurement to the surface smoothness, combine RTK positioning technique to acquire the continuous data of each position structure degree of depth that lays the layer surface, utilize the intelligent analysis module to realize the analysis judgement to the planarization index. The intelligent analysis module is completed data passback and instruction downloading by the APP software control singlechip and the wireless communication module, and the control mode can adopt a man-machine interaction mode and a program autonomous control mode, and the program autonomous control mode is controlled by the later stage expansion equipment of the intelligent operation equipment carrying area. And finally, the wireless data transmitting module is used for transmitting the detection data to the management platform.
Of course, the above description is not intended to limit the present invention, and the present invention is not limited to the above examples, and the changes, modifications, additions or substitutions made by those skilled in the art within the scope of the present invention should also belong to the protection scope of the present invention.
Claims (8)
1. The utility model provides a shop front structure surface smoothness intellectual detection system and analytical equipment, a serial communication port, includes frame, power supply accumulate system and the actuating system that traveles are installed in the rear of frame, detecting element, single chip microcomputer control system and wireless communication module are installed to the top of frame, single chip microcomputer control system all realizes wireless communication through wireless communication module and power supply accumulate system, the actuating system that traveles, detecting element, still set up on the frame and reserve intelligent arithmetic equipment carrying area.
2. The intelligent detection and analysis device for surface smoothness of a pavement structure according to claim 1, wherein the detection component comprises a binocular camera, a triaxial acceleration sensor, a reflective incremental encoder, a laser ranging sensor and an RTK rear differential positioning sensor, the binocular camera is mounted in front of the frame, and the triaxial acceleration sensor, the laser ranging sensor and the RTK rear differential positioning sensor are connected with the frame through sensor mounting bases.
3. The intelligent detecting and analyzing device for the surface flatness of a pavement structure according to claim 2, wherein said laser distance measuring sensor is installed on the side of the frame.
4. The intelligent detecting and analyzing device for the surface flatness of the pavement structure according to claim 1, wherein the driving system comprises a motor, an L293D driving module and driving wheels, the L293D driving module is installed at the rear of the frame, and the driving wheels are installed at two sides of the frame.
5. The intelligent detecting and analyzing device for the surface flatness of the pavement structure according to claim 2, wherein the reflection type increment encoder is fixedly installed on the driving wheel or the wheel shaft of the driving wheel and is used for obtaining the moving distance and the moving speed.
6. The intelligent detecting and analyzing device for the surface flatness of the pavement structure according to claim 4, wherein an anti-collision photoelectric proximity switch is further installed on the front end face of the frame.
7. The intelligent detecting and analyzing device for the surface flatness of the pavement structure according to claim 1, wherein the power supply and storage system is made of a high-capacity lithium battery.
8. The intelligent detecting and analyzing device for the surface flatness of a pavement structure according to claim 1, wherein the single chip microcomputer control system takes an STC89C52RC51 single chip microcomputer as a core, and the number of interfaces is not less than 32.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201921049618.1U CN210262625U (en) | 2019-07-08 | 2019-07-08 | Intelligent detection and analysis device for surface smoothness of pavement structure |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201921049618.1U CN210262625U (en) | 2019-07-08 | 2019-07-08 | Intelligent detection and analysis device for surface smoothness of pavement structure |
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| CN210262625U true CN210262625U (en) | 2020-04-07 |
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| CN201921049618.1U Expired - Fee Related CN210262625U (en) | 2019-07-08 | 2019-07-08 | Intelligent detection and analysis device for surface smoothness of pavement structure |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110205910A (en) * | 2019-07-08 | 2019-09-06 | 河北工程大学 | A kind of pavement structure profile pattern intelligent measurement and analytical equipment |
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2019
- 2019-07-08 CN CN201921049618.1U patent/CN210262625U/en not_active Expired - Fee Related
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110205910A (en) * | 2019-07-08 | 2019-09-06 | 河北工程大学 | A kind of pavement structure profile pattern intelligent measurement and analytical equipment |
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