CN108360345B - Mobile road technical condition detection equipment - Google Patents
Mobile road technical condition detection equipment Download PDFInfo
- Publication number
- CN108360345B CN108360345B CN201810142549.2A CN201810142549A CN108360345B CN 108360345 B CN108360345 B CN 108360345B CN 201810142549 A CN201810142549 A CN 201810142549A CN 108360345 B CN108360345 B CN 108360345B
- Authority
- CN
- China
- Prior art keywords
- disease
- road
- disease information
- information input
- input module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 39
- 201000010099 disease Diseases 0.000 claims abstract description 144
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 144
- 230000005484 gravity Effects 0.000 claims abstract description 11
- 238000013507 mapping Methods 0.000 claims abstract description 6
- 238000000034 method Methods 0.000 claims description 12
- 238000005516 engineering process Methods 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 claims description 2
- 238000006073 displacement reaction Methods 0.000 description 7
- 238000012423 maintenance Methods 0.000 description 7
- 238000005259 measurement Methods 0.000 description 7
- 238000013461 design Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 238000006563 Carroll rearrangement reaction Methods 0.000 description 1
- 239000010426 asphalt Substances 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Architecture (AREA)
- Civil Engineering (AREA)
- Structural Engineering (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention relates to the field of road surface detection, and provides a mobile type road technical condition detection device aiming at the technical problems of inaccurate road surface observation result and low observation efficiency, which comprises: the single-person driving vehicle is used for workers to drive by adjusting the gravity center and stably drive on a road at a low speed; the position parameter determining module is used for acquiring the position parameters of the single-person riding vehicle on the road in real time; and the disease information input module is used for allowing a worker to record the type of the disease and the shape of the disease after observing that the road has the disease, and is also used for calling the current position parameter in the position parameter determining module to record the disease occurrence place after the worker records the type of the disease and the shape of the disease, and establishing the mapping relation between the disease information and the disease occurrence place.
Description
Technical Field
The invention relates to the field of pavement detection, in particular to a mobile highway technical condition detection device.
Background
The rapid increase of the total road mileage plays a very important role in promoting the economic development of various regions, and meanwhile, the long-term use of the road brings unprecedented challenges to the maintenance of the road. On one hand, the road surface is increasingly seriously damaged by the problems of rapid increase of traffic flow, overload of large trucks and the like; on the other hand, the construction of large engineering machinery in the pavement maintenance process can cause long-time congestion of the highway, and the traffic capacity of the road is seriously influenced.
Therefore, the method has the advantages that the pavement cracks are regularly detected and quantitatively evaluated, so that the pavement cracks are in a reasonable range, the pavement is actively maintained at an early stage, and the method has important significance for prolonging the service life of the highway, improving the traffic capacity of the road, ensuring the driving safety of automobiles and reducing the maintenance cost of the highway.
The disease condition on the road can be seen in the industry standard of the people's republic of China, JTG H20-2007, the assessment Standard of the technical status of the Highway, published by 2007-11-28, implemented by 2008-02-01, published by the department of transportation of the people's republic of China, and the publishing company of the people's transportation. In this standard, damage is classified into 21 items of 11 categories for asphalt pavement, including cracks, block cracks, pits, and the like. In this standard, "detection of road surface damage condition, preferably an automated rapid detection method, and manual detection when no condition is available" is described, and when detecting road surface damage by rapid detection equipment, longitudinal continuous detection is required, and the transverse detection width portion is less than 70% of the lane width. The detection equipment can distinguish the pavement cracks of more than 1mm, the detection result is automatically identified by adopting a computer, and the identification accuracy rate is more than 90 percent. "when manually investigated, the investigation range should include all lanes, and the damage types specified in tables 6.2.1-2, 6.2.1-3 and 6.2.1-4 are investigated on the spot. "the road surface damage detection data should be stored for a long period of time in units of 100m (manual detection) or 10m (rapid detection)".
The existing automatic rapid detection method is limited by hardware performance and safety performance in the detection process (unmanned evaluation cannot be realized, and the cost reduction is limited), and parameters of a detection result often cannot meet the requirements of the standard. In the prior art, if an automatic rapid detection method is applied, workers still need to undertake the work of a single driver and a single vehicle, and even may need to monitor whether the whole automatic detection system is effectively operated; if the manual method investigation mode is adopted, the worker needs to drive a car or a motorcycle, the worker needs to drive a vehicle or arrange other personnel for driving, and high labor cost exists (the worker cannot drive the vehicle and observe and record roads at the same time).
In view of the above problems, there is an urgent need for a device for road assessment with accurate observation results and high observation efficiency.
Disclosure of Invention
The invention provides a mobile highway technical condition detection device aiming at the technical problems of inaccurate road surface observation result and low observation efficiency of the prior art.
The basic scheme provided by the invention is as follows: mobile road technical condition detection equipment, comprising:
the single-person driving vehicle is used for workers to drive by adjusting the gravity center and stably drive on a road at a low speed;
the position parameter determining module is used for acquiring the position parameters of the single-person riding vehicle on the road in real time;
and the disease information input module is used for allowing a worker to record the type of the disease and the shape of the disease after observing that the road has the disease, and is also used for calling the current position parameter in the position parameter determining module to record the disease occurrence place after the worker records the type of the disease and the shape of the disease, and establishing the mapping relation between the disease information and the disease occurrence place.
The working principle and the advantages of the invention are as follows: the driving by means of the gravity center means that a worker can achieve the effect of controlling a single-person driving vehicle by adjusting the gravity center of the worker, such as the existing single-wheel balance car, two-wheel balance car and the like; low speed, which means the speed below 20 km/h (national standard: electric bicycle above 40 kg, speed above 20 km/h, classified as motor vehicle category); the stability means that the worker can stop driving by operating the walking module at any time.
In this scheme, the staff can not rely on both hands to drive single vehicle carrier, has liberated staff's both hands, lets work when driving single vehicle carrier, and staff itself need observe the road conditions, lets the staff also observe the disease condition on road surface when observing the road conditions this moment, and such requirement can not influence staff's normal driving, also does not have any potential safety hazard. After the worker observes that the road surface has the disease condition, the worker can control the single-person driving vehicle to stop, and then the worker records the type of the road surface disease and the shape of the disease. After the recording is finished, the working personnel can continue to drive the single-person driving vehicle on the road.
The position parameter determining module can obtain the position parameters of the single-person riding vehicle on the road in real time, the disease information input module can also obtain the information synchronously, the worker needs to record the disease information and also needs to record the place where the disease occurs, at the moment, the disease information input module calls the current position parameters of the single-person riding vehicle in the position parameter determining module, for the worker, only the type and the shape of the observed road disease need to be recorded, and extra time and static force do not need to be spent to determine the place where the disease occurs. The disease information input module establishes a mapping relation between the disease information and the disease occurrence place according to the type and shape of the disease input by the staff and the position parameters when the staff records the disease, so that the follow-up road maintenance staff can conveniently maintain the road.
According to the mobile highway technical condition detection equipment, the single-person driving vehicle which drives by means of the gravity center is arranged, the two hands of workers are liberated, the workers can effectively observe the road condition, the types of diseases and the shapes of the diseases can be recorded in time, and more accurate observation results can be obtained. The single-person driving vehicle can replace the walking of workers, and the observation efficiency is improved.
Further, the position parameter determining module comprises a rotary encoder and a counter, the single driving vehicle comprises wheels, the rotary encoder is used for detecting the number of rotation turns of the wheels and sending the rotation turns to the counter, the counter is used for counting and storing the number of rotation turns of the wheels, the counter is in signal connection with the disease information input module, and the disease information input module is further used for calculating the driving mileage of the single driving vehicle according to the number of rotation turns of the counter and the number of rotation turns of the stored wheels.
Due to the design, a fixed road can be maintained conveniently. After the single-person driving vehicle determines the disease occurrence place, workers or other units for road maintenance can accurately know the disease occurrence place, and confirmation and maintenance are convenient.
Furthermore, the position parameter determination module is an intelligent device carrying a Baidu eagle eye technology, and is used for acquiring positioning parameters and sending the positioning parameters to the disease information input module.
By means of the design, the geographical position parameters of the diseases can be directly acquired by means of the existing Baidu eagle eye technology and existing intelligent equipment, and the use of workers is facilitated.
Further, the disease information input module is also used for manually inputting a compensation coefficient, and the compensation coefficient is used for using the circumference of the wheel under different tire pressure conditions.
Due to the design, the staff can acquire accurate position parameters. The compensation factor may be determined by allowing a single-person ride-on vehicle to travel a known length of road (e.g., a 100 meter long road in a parking lot), obtaining a measurement from the position parameter determination module (or rotary encoder and counter), obtaining a compensation factor by comparing the measurement to the known value, and obtaining a more accurate position parameter by multiplying the measurement by the compensation factor.
Further, the single-person riding vehicle is a two-wheel balance car controlled by the gravity center of workers.
The mode is that a gyroscope is arranged in the two-wheeled balance car to sense the change of the center of gravity of a worker, and then the change is fed back to the controller, and then the controller controls the advancing speed or the steering of the two-wheeled balance car, and particularly, the worker can control the two-wheeled balance car through feet.
Further, be provided with the cushion that supplies the staff to take on the two-wheeled balance car, still be provided with the fixed bolster that is used for the fixed disease information input module of centre gripping on the two-wheeled balance car.
The mode creates a more comfortable driving mode for workers, and avoids the tired experience brought by driving the two-wheeled balance car vertically. The disease information input module is fixed on the support because, such design can let disease information input module and fixed bolster between can dismantle each other, two-wheeled balance car and fixed bolster can not be the one-to-one, after certain two-wheeled balance car goes wrong, can change the collocation of disease information input module and two-wheeled balance car, guarantees the normal clear of road assessment work.
Further, the disease information input module is a touch screen operation device, the disease information input module is used for storing a road top view, the disease information input module is also used for receiving the position parameters of the road obtained by the position parameter determining module and displaying the road top view to a user according to the position parameters, and the disease information input module is also used for the user to record detailed disease information on the road top view after the user observes the road disease.
The disease information input module can be better operated by workers, and the types and shapes of diseases can be better input into the disease information input module.
Further, the disease information input module is also used for carrying out statistical calculation on detailed disease information recorded by a user and obtaining disease parameters of the detailed disease information.
In such a mode, the disease information input module can directly calculate the parameters of the disease information. If the type of the disease is cracks, the disease information input module calculates the length of the cracks according to the shape of the disease input by the staff; the type of the occurred diseases is collapse, and the disease information input module calculates the collapse area according to the shape of the diseases input by the working personnel. Therefore, when the report production module outputs the disease result, the parameters are more accurate, and the follow-up maintenance is convenient.
Drawings
Fig. 1 is a schematic structural diagram of a mobile road technical condition detection apparatus according to an embodiment of the present invention.
Detailed Description
The following is further detailed by the specific embodiments:
example 1
Substantially as shown in figure 1: mobile road technical condition detection equipment, comprising: the system comprises a single-person driving vehicle, a position parameter determining module and a disease information input module; the single-person riding vehicle is used for workers to ride by adjusting the gravity center and stably run on a road at a low speed; the single-person riding vehicle is a two-wheeled balance car controlled by the gravity center of workers. The two-wheeled balance car is provided with a cushion for workers to sit, and the two-wheeled balance car is further provided with a fixed support for clamping and fixing the disease information input module.
The position parameter determining module is used for acquiring the position parameters of the single-person riding vehicle on the road in real time; specifically, the position parameter determining module comprises a rotary encoder and a counter, the single driving vehicle comprises wheels, the rotary encoder is used for detecting the number of rotation turns of the wheels and sending the rotation turns to the counter, the counter is used for counting and storing the number of rotation turns of the wheels, the counter is in signal connection with the disease information input module, and the disease information input module is further used for calculating the driving mileage of the single driving vehicle according to the number of rotation turns of the counter, and the number of rotation turns of the wheels is counted and stored.
The disease information input module is used for recording the type and the shape of the disease for workers after the workers observe that the road has the disease, calling the current position parameter in the position parameter determination module to record the disease occurrence place after the workers record the type and the shape of the disease, and establishing the mapping relation between the disease information and the disease occurrence place. Specifically, the disease information input module is a touch screen operation device, the disease information input module is used for storing a road top view, the disease information input module is further used for receiving the position parameters of the road obtained by the position parameter determining module and displaying the road top view to a user according to the position parameters, and the disease information input module is further used for the user to record detailed disease information on the road top view after the user observes the road disease. The disease information input module is also used for carrying out statistical calculation on the detailed disease information recorded by the user and obtaining the disease parameters of the detailed disease information.
When in specific use: the worker drives (or drives) the two-wheeled balance vehicle to run beside the road (the rightmost lane or the sidewalk or the non-motor lane), and the two-wheeled balance vehicle belongs to a non-motor vehicle, so that the running on the road is in accordance with relevant laws and regulations. In the process of driving the two-wheeled balance car, the staff need observe the condition of road surface in order to ensure safety, and in this process, the staff also can observe the condition of road surface in a plurality of lanes in the place ahead to form effectual observation. When the road is observed to have the diseases, if the diseases are simple, workers can draw the types of the diseases and the shapes of the diseases on the iPad by blind driving, and if the diseases are complex, the workers can stop the two-wheeled balance car and carefully observe the road side and draw the disease conditions of the road surface.
When the worker begins to draw the shape of the disease and the type of the disease, the iPad can directly obtain the current position parameter through the positioning module and then establish the mapping relation between the disease parameter (the type of the disease and the shape of the disease) and the position parameter, so that the aims of obtaining the road disease parameter by the worker who is convenient to maintain and conveniently maintaining the road are fulfilled.
Example 2
Compared with the embodiment 1, the difference is that the position parameter determination module is arranged in the disease information input module, the disease information input module is an iPad carrying the Baidu eagle eye technology, the position parameter determination module is used for acquiring the positioning parameters and sending the positioning parameters to the disease information input module, and the hardware of the specific position parameter determination module is supported by a GPS positioning module in the iPad.
When in specific use: by means of the existing Baidu eagle eye technology and the existing intelligent equipment, the geographical position parameters of the diseases are directly acquired, and the use of workers is facilitated.
Example 3
Compared with the embodiment 1, the difference is only that the defect information input module is also used for manually inputting the compensation coefficient, and the compensation coefficient is used for the circumference under the condition that different tire pressures of the wheels are used.
The specific method comprises the following steps: by allowing a single person to travel a road of known length (e.g., a 100 meter long road in a parking lot), the measurements made by the position parameter determination module (or rotary encoder and counter) may be obtained, and by comparing the measurements to known values, a compensation factor may be obtained, and by multiplying the measurements by the compensation factor, a more accurate position parameter may be obtained.
Example 4
Compared with the embodiment 1, the vehicle-mounted road condition detection device is characterized by further comprising a road condition detection module, wherein the road condition detection module is used for detecting whether abnormal vibration occurs to wheels of the two-wheeled balance vehicle during driving, and the road condition detection module is in data connection with the iPad. Specifically, the road condition detection module comprises a vibration sensor and a single chip microcomputer, the vibration sensor is specifically an Shanghai vibration measurement model YD30 vibration sensor, the sensor converts vibration speed and vibration displacement signals after circuit integration and sends the signals to the single chip microcomputer (the specific model is STC12C5410AD), the single chip microcomputer performs analog-to-digital conversion on the vibration displacement signals, and type signals (recommended signals) of diseases are preliminarily generated according to the vibration displacement and sent to iPad. If the vibration displacement is 0-30 (standard unit, the measuring range is divided into 128 parts, and each part is 1 standard unit) as the vibration of the normal driving, when the vibration displacement is 31-52 (standard unit), the signal sent by the single chip microcomputer is a light crack signal, and when the vibration displacement is 53-61 (standard unit), the signal sent by the single chip microcomputer is a heavy crack signal. And after receiving the recommendation signal sent by the single chip microcomputer, the iPad calls the disease type in the recommendation signal and enters a disease shape recording interface.
Like this at the in-process of traveling, if the two-wheeled balance car rolls (or when passing through) the road that takes place the disease on the road, the wheel can appear vibrating, and at this moment, vibration sensor can detect this condition to feed back to the singlechip, the singlechip is according to "vibration displacement" as the judgement standard, preliminarily judge the kind and the degree of disease and feed back to iPad, the iPad enters into disease record interface, so that the staff records accurate kind and shape of disease. Through the design, when vibration occurs, the iPad can automatically enter a disease recording interface and call the recommended disease types and degree, so that the worker only needs to record the shapes of the diseases, and the purpose of facilitating the use of the worker is achieved.
The foregoing is merely an example of the present invention, and common general knowledge in the field of known specific structures and characteristics is not described herein in any greater extent than that known in the art at the filing date or prior to the priority date of the application, so that those skilled in the art can now appreciate that all of the above-described techniques in this field and have the ability to apply routine experimentation before this date can be combined with one or more of the present teachings to complete and implement the present invention, and that certain typical known structures or known methods do not pose any impediments to the implementation of the present invention by those skilled in the art. It should be noted that, for those skilled in the art, without departing from the structure of the present invention, several changes and modifications can be made, which should also be regarded as the protection scope of the present invention, and these will not affect the effect of the implementation of the present invention and the practicability of the patent. The scope of the claims of the present application shall be determined by the contents of the claims, and the description of the embodiments and the like in the specification shall be used to explain the contents of the claims.
Claims (7)
1. Portable highway technical status check out test set, its characterized in that: the method comprises the following steps:
the single-person driving vehicle is used for workers to drive by adjusting the gravity center and stably drive on a road at a low speed;
the position parameter determining module is used for acquiring the position parameters of the single-person riding vehicle on the road in real time;
the system comprises a disease information input module, a position parameter determination module and a disease information storage module, wherein the disease information input module is used for allowing a worker to record the type of a disease and the shape of the disease after observing that the road has the disease, and the disease information input module is also used for calling the current position parameter in the position parameter determination module to record the disease occurrence place after the worker records the type of the disease and the shape of the disease and establishing the mapping relation between the disease information and the disease occurrence place;
the road condition detection module is used for detecting whether abnormal vibration occurs when the walking module drives, judging the type and degree of the diseases and feeding back the judgment result to the recording module;
the position parameter determining module comprises a rotary encoder and a counter, the single driving vehicle comprises wheels, the rotary encoder is used for detecting the number of rotation turns of the wheels and sending the rotation turns to the counter, the counter is used for counting and storing the number of rotation turns of the wheels, the counter is in signal connection with the disease information input module, and the disease information input module is further used for calculating the driving mileage of the single driving vehicle according to the number of rotation turns of the counter and the number of rotation turns of the stored wheels.
2. The mobile road technical condition detection apparatus according to claim 1, wherein: the position parameter determining module is an intelligent device carrying a Baidu eagle eye technology, and is used for acquiring positioning parameters and sending the positioning parameters to the disease information input module.
3. The mobile road technical condition detection apparatus according to claim 1, wherein: the disease information input module is also used for manually inputting a compensation coefficient, and the compensation coefficient is used for using the perimeter of the wheel under different tire pressure conditions.
4. The mobile road technical condition detection apparatus according to any one of claims 1 to 3, wherein: the single-person riding vehicle is a two-wheeled balance car controlled by the gravity center of workers.
5. The mobile road technical condition detection apparatus according to claim 4, wherein: the two-wheeled balance car is provided with a cushion for workers to sit, and the two-wheeled balance car is further provided with a fixed support for clamping and fixing the disease information input module.
6. The mobile road technical condition detection apparatus according to claim 5, wherein: the disease information input module is touch screen operation equipment, the disease information input module is used for storing a road top view, the disease information input module is further used for receiving the position parameters of the road obtained by the position parameter determining module and displaying the road top view to a user according to the position parameters, and the disease information input module is further used for the user to record detailed disease information on the road top view after the user observes the road disease.
7. The mobile road technical condition detection apparatus according to claim 6, wherein: the disease information input module is also used for carrying out statistical calculation on the detailed disease information recorded by the user and obtaining the disease parameters of the detailed disease information.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810142549.2A CN108360345B (en) | 2018-02-11 | 2018-02-11 | Mobile road technical condition detection equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810142549.2A CN108360345B (en) | 2018-02-11 | 2018-02-11 | Mobile road technical condition detection equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108360345A CN108360345A (en) | 2018-08-03 |
| CN108360345B true CN108360345B (en) | 2020-12-01 |
Family
ID=63005929
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810142549.2A Active CN108360345B (en) | 2018-02-11 | 2018-02-11 | Mobile road technical condition detection equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108360345B (en) |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR2599150B1 (en) * | 1986-05-21 | 1988-09-16 | Exper Rech Etu Batimen Centre | METHOD AND DEVICE FOR MECHANICAL CONTROL OF COVERINGS OF ART WORKS |
| CN1095067C (en) * | 1996-10-03 | 2002-11-27 | 东南大学 | General large diameter measuring gauge and its measuring method |
| JP2010274906A (en) * | 2009-04-27 | 2010-12-09 | Bridgestone Corp | Road surface state estimation method, vehicle control method, and road surface state estimation device |
| CN101825444B (en) * | 2010-04-09 | 2012-07-04 | 上海辉格科技发展有限公司 | Vehicle-mounted road spectrum testing system based on surface structured light |
| CN104751435A (en) * | 2013-12-27 | 2015-07-01 | 哈尔滨理大晟源科技开发有限公司 | Wireless sensor-based highway pavement disease detection method |
| CN204594502U (en) * | 2015-05-08 | 2015-08-26 | 苏州科技学院 | Hole, a kind of road surface based on vehicle-mounted binocular vision groove detection apparatus |
| CN104932505B (en) * | 2015-06-08 | 2018-04-13 | 华南理工大学 | Automated navigation system, control method and vertical balanced car based on camera detection |
-
2018
- 2018-02-11 CN CN201810142549.2A patent/CN108360345B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN108360345A (en) | 2018-08-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111504436B (en) | Vehicle load and road condition monitoring method and device based on vehicle vibration data | |
| CN1821726B (en) | Axle load measuring device, axle load measuring system, and method for monitoring measurement accuracy | |
| CN108973545B (en) | Monitoring device and method for predicting tire burst | |
| CN113825686B (en) | Method and system for identifying unevenness of road surface | |
| CN203981255U (en) | A kind of vehicle-mounted weighing system | |
| EP3186789B1 (en) | Bicycle servicing system and bicycle servicing method | |
| KR101816566B1 (en) | Bridge maintenance system using vehicle sensor, and method for the same | |
| WO2020259044A1 (en) | Monitoring system and monitoring method for measuring gross vehicle weight in real time | |
| CN106441530A (en) | Bridge dynamic weighing method based on long-gauge fiber grating sensing technology and dynamic weighing system thereof | |
| CN110239433A (en) | A kind of vehicle intelligent monitoring and pre-warning system and method based on lorry traffic safety | |
| CN107784381A (en) | It is a kind of to judge that taxi detours and valuate abnormal method and device | |
| CN115798194B (en) | Road condition monitoring method and device based on vehicle vibration data | |
| CN113795415B (en) | Method and system for detecting irregularities of a road surface | |
| CN105841785A (en) | Vehicle type dynamic road vehicle automatic weighing apparatus | |
| CN108360345B (en) | Mobile road technical condition detection equipment | |
| CN205808663U (en) | A kind of vehicle for simulated wheel fact impact test and system | |
| CN207423537U (en) | A kind of automobile safety testing system | |
| Carlson et al. | Relationships between ball bank indicator readings, lateral acceleration rates, and vehicular body-roll rates | |
| CN108360344B (en) | Highway technical condition detection system | |
| CN108171820A (en) | A kind of fleet management system and fleet management's comprehensive score method | |
| JP2006048501A (en) | Road surface information collection system and in-vehicle device and server used therefor | |
| US20240185646A1 (en) | International roughness index estimation method and system | |
| CN113147281A (en) | Tire pressure detection system and method | |
| CN114481771B (en) | Pavement flatness video measuring system and method for highway construction survey | |
| JP2004279217A (en) | Tire management method by tire pneumatic inspection and total management method of tire by tread inspection and tire pneumatic inspection |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |