WO2023025334A1 - 一种路面平整度检测方法、装置、电子设备及介质 - Google Patents

一种路面平整度检测方法、装置、电子设备及介质 Download PDF

Info

Publication number
WO2023025334A1
WO2023025334A1 PCT/CN2022/131058 CN2022131058W WO2023025334A1 WO 2023025334 A1 WO2023025334 A1 WO 2023025334A1 CN 2022131058 W CN2022131058 W CN 2022131058W WO 2023025334 A1 WO2023025334 A1 WO 2023025334A1
Authority
WO
WIPO (PCT)
Prior art keywords
road section
international
detected
roughness
acceleration
Prior art date
Application number
PCT/CN2022/131058
Other languages
English (en)
French (fr)
Inventor
崔玉萍
侯芸
董元帅
张艳红
仝鑫隆
张昊煜
钱振宇
张蕴灵
杨璇
孙天成
崔丽
胡林
胡润婷
Original Assignee
中国公路工程咨询集团有限公司
中咨公路养护检测技术有限公司
中咨数据有限公司
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 中国公路工程咨询集团有限公司, 中咨公路养护检测技术有限公司, 中咨数据有限公司 filed Critical 中国公路工程咨询集团有限公司
Publication of WO2023025334A1 publication Critical patent/WO2023025334A1/zh
Priority to ZA2023/04008A priority Critical patent/ZA202304008B/en

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • 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 the technical field of intelligent transportation, in particular to a method, device, electronic equipment and medium for detecting road surface roughness.
  • Road is an important transportation infrastructure, which can not only meet the basic needs of people's travel, but also ensure the efficiency of transportation.
  • roads will gradually deteriorate, and it is necessary to carry out timely maintenance.
  • the invention provides a road surface smoothness detection method, device, electronic equipment and storage medium, which are used to solve the technical problems of high detection cost, inconvenient operation, and poor user experience in the prior art.
  • the acceleration acquisition device determines the smoothness of the road surface, improves the accuracy of road surface detection results, reduces equipment costs, and improves user experience.
  • the present invention provides a method for detecting road surface roughness, comprising:
  • the roughness detection result of the road section to be detected is determined according to the estimated international roughness value and the international roughness index.
  • the present invention also provides a road surface roughness detection device, comprising:
  • the first determination module is used to determine the road section to be detected
  • a detection module configured to use a test vehicle to detect the road section to be detected to obtain an acceleration detection result
  • An acquisition module configured to obtain an estimated value of the international roughness of the road section to be detected according to the acceleration detection result and the pre-associated target fitting formula
  • the second determining module is configured to determine the roughness detection result of the road section to be detected according to the estimated international roughness value and the international roughness index.
  • the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and operable on the processor.
  • the processor executes the program, any of the above-mentioned Describe the steps of the road surface roughness detection method.
  • the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of any one of the road surface roughness detection methods described above are implemented.
  • the invention provides a road surface smoothness detection method, device, electronic equipment and medium.
  • the method includes: determining the road section to be detected; using a test vehicle to detect the road section to be detected to obtain the acceleration detection result; according to the acceleration detection.
  • the results and the pre-associated target fitting formula are obtained to obtain an estimated international roughness value of the road section to be detected; according to the estimated international roughness value and the international roughness index, the roughness detection result of the road section to be detected is determined.
  • the road surface roughness detection method provided by the present invention can reduce the equipment cost of road surface detection, improve the accuracy of detection results, and at the same time, the operation is simple and convenient, and the user experience is improved.
  • Fig. 1 is a schematic flow sheet of the road surface roughness detection method provided by the present invention
  • Fig. 2 is a schematic flow chart of the calibration method in the road surface roughness detection method provided by the present invention
  • Fig. 3 is the schematic diagram of acceleration testing system
  • Fig. 4 is a schematic flow chart of an association algorithm
  • Fig. 5 is an example diagram of the method for collecting road surface roughness provided by the present invention.
  • Fig. 6 is the schematic diagram of V Range and IRI fitting figure when the test vehicle provided by the present invention travels at a constant speed of 40km/h at a unit unit of 10m;
  • Fig. 7 is the schematic diagram of V Range and IRI fitting figure when the test vehicle provided by the present invention travels at a constant speed of 40km/h at a unit unit of 20m;
  • Fig. 8 is the schematic diagram of V Range and IRI fitting figure when the test vehicle provided by the present invention travels at a constant speed of 40km/h at a unit unit of 30m;
  • Fig. 9 is the schematic diagram of V Range and IRI fitting figure when the test vehicle provided by the present invention travels at a constant speed of 40km/h at a unit cell of 40m;
  • Fig. 10 is a schematic diagram of V Range and IRI fitting graph when the test vehicle provided by the present invention travels at a constant speed of 40km/h at a unit unit of 50m;
  • Fig. 11 is the schematic diagram of V Range and IRI fitting figure when the test vehicle provided by the present invention travels at a constant speed of 40km/h at a unit unit of 60m;
  • Fig. 12 is the schematic diagram of V Range and IRI fitting figure when the test vehicle provided by the present invention travels at a constant speed of 40km/h at a unit cell of 70m;
  • Fig. 13 is the schematic diagram of V Range and IRI fitting graph when the test vehicle provided by the present invention travels at a constant speed of 40km/h at a unit unit of 80m;
  • Fig. 14 is the schematic diagram of V Range and IRI fitting figure when the test vehicle provided by the present invention travels at a constant speed of 40km/h at a unit unit of 90m;
  • Fig. 15 is a schematic diagram of V Range and IRI fitting graph when the test vehicle provided by the present invention travels at a constant speed of 40km/h at a unit unit of 100m;
  • Fig. 16 is a schematic structural view of the road surface roughness detection device provided by the present invention.
  • Fig. 17 is a schematic structural diagram of an electronic device provided by the present invention.
  • Fig. 1 is the schematic flow sheet of the road surface roughness detection method provided by the present invention, as shown in Figure 1, the road surface roughness detection method provided by the present invention specifically comprises the following steps:
  • Step 101 Determine the road section to be detected.
  • the road section to be detected may be a road section with any road condition, which is not specifically limited.
  • Step 102 Use a test vehicle to detect the road section to be detected to obtain an acceleration detection result.
  • IRI is the international roughness index.
  • the international roughness index IRI refers to the cumulative vertical displacement value of a quarter of the car at a speed of 80km/h. IRI is actually a dimensionless index, but it is customary to use m /km means.
  • Step 103 Obtain the estimated value of the international roughness of the road section to be detected according to the acceleration detection result and the target fitting formula obtained in advance; in this embodiment, it is necessary to obtain the acceleration detection result obtained in step 102 and the pre-correlation
  • the target fitting formula obtained by the association algorithm obtains the estimated value of the international roughness of the road section to be detected.
  • Step 104 Determine the roughness detection result of the road section to be detected according to the estimated international roughness value and the international roughness index.
  • it is necessary to compare the obtained international roughness estimated value with the international balance index to obtain the smoothness detection result of the road section to be detected wherein, in this embodiment, by calculating the international roughness estimated value and The error between the international smoothness indices, and then the test result of the roughness of the road surface of the road section to be tested is determined through the relationship between the error and the preset error threshold.
  • the roughness detection result of the road section to be detected may also be determined directly through the relationship between the estimated international roughness value and the international roughness index, which is not specifically limited here.
  • the road section to be detected is determined, and then the road section to be detected is detected by a test vehicle to obtain the acceleration detection result; according to the acceleration detection result and the target fitting formula obtained by pre-association, the to-be-detected road section is obtained. Detecting the estimated international roughness value of the road section; determining the roughness detection result of the road section to be inspected according to the estimated international roughness value and the international roughness index.
  • the road surface roughness detection method provided by the present invention can reduce the equipment cost of road surface detection, improve the accuracy of detection results, and at the same time, the operation is simple and convenient, and the user experience is improved.
  • the road surface roughness detection method before the determination of the road section to be detected, further includes: obtaining a sample test road section; using a test vehicle to test the sample test road section to obtain A plurality of acceleration test values, and using the CiCS vehicle to test the sample test road section to obtain a plurality of calibrated international roughness indices; to fit the multiple acceleration test values and the plurality of international roughness indices after time synchronization processing processing to obtain the target fitting formula.
  • the CiCS system is responsible for providing the calibrated international roughness index of the road surface (IRI data)
  • the acceleration test system installs the acceleration acquisition device (acceleration sensor) on the test vehicle to collect detailed acceleration data, and then performs time synchronization processing on the collected IRI data and acceleration data.
  • the accelerometer communicates wirelessly with the gateway device.
  • the CiCS system Customer Information Control System
  • the customer information control system is a series of products that provide online transaction processing and transaction management for applications. Its function is to provide a transaction processing environment for commercial applications and help customers establish a three-level structure. online transaction processing applications.
  • the correlation algorithm first constructs the characteristic index system, then performs pseudo-vibration velocity conversion processing on the acceleration test value to obtain the pseudo-vibration velocity value, and finally fits it with the IRI value.
  • the specific installation method can be fixed on the frame by customizing a suitable mounting bracket, or directly fixed by magnetic attraction. on the frame.
  • the acceleration data acquisition device is connected to the PC terminal through the wireless local area network, and the three-axis acceleration data is collected in real time through the data acquisition platform.
  • the test vehicle and the CiCS vehicle need to be kept on the same road section during data collection, and the same starting point should be selected to start the test.
  • the driving speed can be 40km/h or 50km/h. Specifically, it can be set according to the actual needs of the user, and is not specifically limited here.
  • the road surface testing system as shown in FIG. 5 performs data collection.
  • the two systems carry out the test work at the same time.
  • the data collectors cooperate to determine the test start point and test end point to collect and record.
  • the CiCS system is responsible for collecting IRI data.
  • the acceleration data collection equipment installed on the test vehicle is responsible for collecting acceleration data. When driving at a constant speed, the CiCS vehicle starts first, followed by the test vehicle, and the data collection ends after reaching the end of the test.
  • the acceleration data acquisition device uses the acceleration sensor, and the acceleration sensor sends the driving vibration acceleration data to the PC of the personnel in the vehicle in real time through the gateway device or wireless LAN. IRI data.
  • the time adjustment of the acceleration data collected by the acceleration data acquisition equipment is carried out, and the initial synchronization is carried out through the storage time of the data files recorded in real time on the PC, and the time is accurate to the second level, and then the vertical acceleration of the vehicle during driving is carried out.
  • Move ( ⁇ 1s) solve once every 1ms, get 2000 results, and under the condition of known vehicle speed, get the average acceleration value within 10m, and fit with the obtained IRI data, and fit the results
  • the best set of time is determined as the time point for time synchronization of the two sets of system equipment data.
  • a plurality of acceleration test values are obtained by using a test vehicle to test the sample test road section, and a plurality of calibrated international roughness indexes are obtained by using a CiCS vehicle to test the sample test road section, Then, the target fitting formula is obtained by fitting the obtained multiple acceleration test values with multiple calibrated international flatness indices, which can improve the accuracy of flatness detection, reduce operation difficulty, and improve user experience.
  • the step of fitting the multiple acceleration test values after the time synchronization processing and the multiple international flatness indices to obtain the target fitting formula includes: according to the time synchronization processing After a plurality of acceleration test values determine a plurality of index calculation formulas; perform pseudo-vibration speed data conversion processing on the plurality of acceleration test values to obtain a plurality of pseudo-vibration speed values; according to the plurality of pseudo-vibration speed values and the Multiple international flatness indices determine the target fitting formula.
  • the time synchronization processing it is necessary to process the data through an association algorithm, select different characteristic index data for calculation, so as to select the optimal index data, and then perform pseudo-vibration speed data conversion on the acceleration data,
  • the obtained pseudo-vibration velocity data is used to perform linear fitting processing with multiple international flatness indices.
  • multiple index calculation formulas are constructed to realize the correlation between index data and the International Roughness Index IRI.
  • the multiple index calculation formulas include arithmetic mean deviation, arithmetic mean, standard deviation, and skewness 14 index calculation formulas such as hump, hump, range, standard deviation, maximum value, minimum value, variance, median, maximum absolute value, sum absolute value, square and absolute value.
  • R a is the arithmetic mean deviation (mm); n is the number of sampling points; a i is the acceleration (mg) of the ith sampling point; m is the arithmetic mean value (mg) of the sampling point acceleration;
  • the calculation formula is shown in formula (2).
  • Range max(A)-min(A) (6)
  • ⁇ is the standard deviation (mm)
  • S k is the skewness
  • K is the hump
  • Range is the range
  • s 2 is the variance
  • Max is the maximum value
  • Min is the minimum value
  • Median is the median
  • Max abs is the absolute value of the maximum value
  • Sum abs is the absolute value of the sum
  • Sum square is the absolute value of the square sum
  • m abs is the arithmetic average of the absolute value of the acceleration of the sampling point.
  • the acceleration series index data corresponding to every 10m is obtained.
  • Generate pseudo-vibration speed data A' (V1, V2,...,Vn), adjust A in the above-mentioned acceleration characteristic index to A', adjust ai to Vi, and then use the pseudo-vibration speed data to adjust the above-mentioned 14 characteristic indexes Perform calculations, and fit the calculated series of speed index data with the IRI data to obtain the most suitable feature index.
  • a plurality of index calculation formulas are determined according to a plurality of acceleration test values after time synchronization processing, and then the pseudo-vibration speed data conversion processing is performed on a plurality of acceleration test values to obtain a plurality of pseudo-vibrations
  • the speed value according to multiple pseudo-vibration speed values and multiple international roughness indices, determines the target fitting formula, which is used in the subsequent smoothness detection processing of other road sections to improve the speed of smoothness detection processing.
  • determining the target fitting formula according to the multiple pseudo-vibration velocity values and the multiple international flatness indices includes: according to the multiple pseudo-vibration The speed value and the determined multiple index calculation formulas are used to obtain multiple index values. Fitting is performed according to the plurality of index values and the plurality of international flatness indices corresponding to the plurality of acceleration test values to obtain a plurality of pseudo-vibration characteristic index values meeting the fitting degree condition. A target fitting formula is obtained by using the multiple pseudo-vibration feature index values and preset multiple distance values for fitting.
  • multiple index values need to be obtained according to multiple pseudo-vibration velocity values and determined multiple index calculation formulas, and multiple index values of acceleration are fitted with multiple international flatness indices to obtain Multiple pseudo-vibration feature index data that meet the degree conditions, and then use multiple pseudo-vibration feature index values and preset multiple distance values to perform fitting to obtain the target fitting formula.
  • the preferred target fitting The fitting formula is a linear fitting formula, and may be other types of fitting formulas in other embodiments, which can be selected according to the actual needs of users, and are not specifically limited here.
  • conforming to the condition of fitting degree refers to the calculation formula of the acceleration index with the highest degree of fitting.
  • Fitting at 80m, 90m, and 100m, and substituting the obtained index data into the linear regression calculation formula, that is, IRI aX+b, X represents the characteristic index data VRange of pseudo-vibration velocity data, and analyzes the international roughness index IRI and pseudo-vibration velocity
  • X represents the characteristic index data VRange of pseudo-vibration velocity data
  • IRI and pseudo-vibration velocity the characteristic index data
  • the relationship between the data index data, the target fitting formula is obtained, and the goodness-of-fit R 2 is determined.
  • the specific calculation results are shown in Figure 6- Figure 15. The results show that at a vehicle speed of 40km/h, the correlation between the VRange index and the IRI data shows an upward trend. When the calculation unit is 100m, the correlation is the best.
  • the target fitting formula is determined through the determined multiple pseudo-vibration velocity data and multiple international smoothness indices, which can be used in the subsequent road surface detection processing of other road sections, and the road surface smoothness can be improved.
  • the accuracy and efficiency of degree detection processing is determined through the determined multiple pseudo-vibration velocity data and multiple international smoothness indices, which can be used in the subsequent road surface detection processing of other road sections, and the road surface smoothness can be improved.
  • the obtaining the estimated value of the international roughness of the road section to be detected according to the acceleration detection result and the pre-associated target fitting formula includes: calculating the acceleration
  • the detection result is converted to the pseudo-vibration velocity data to obtain the target pseudo-vibration velocity value.
  • the numerical value of the target pseudo-vibration velocity is input into the target fitting formula obtained by pre-association to obtain the estimated value of the international roughness of the road section to be detected.
  • the road section to be tested can be a road section different from the sample test road section, and the calculated target pseudo-vibration velocity value is substituted into the target fitting formula to calculate the estimated value EIRI of IRI, and the treatment is realized according to the obtained estimated value of international roughness.
  • the test and evaluation of the road surface roughness of the detection road section can be a road section different from the sample test road section, and the calculated target pseudo-vibration velocity value is substituted into the target fitting formula to calculate the estimated value EIRI of IRI, and the treatment is realized according to the obtained estimated value of international roughness.
  • the target pseudo-vibration velocity value is obtained by converting the pseudo-vibration velocity data to the acceleration detection result, and then inputting the target pseudo-vibration velocity value into the target fitting formula obtained by pre-association to obtain
  • the estimated value of the international roughness of the road section to be tested is used in the evaluation of the subsequent road surface roughness test results to ensure the accuracy of the test results.
  • determining the roughness test result of the road section to be detected according to the estimated international roughness value and the international roughness index includes: according to the international roughness estimate The error value is calculated from the value and the international flatness index. According to the relationship between the error value and the preset error threshold, the smoothness detection result of the road section to be detected is determined.
  • the error value it is necessary to calculate the error value according to the estimated value of the international roughness and the international roughness index, and then determine the smoothness detection result of the road section to be detected according to the relationship between the error value and the preset error threshold. It should be noted that in this embodiment, the balance detection result of the road section to be detected is determined according to the relationship between the error value and the preset error threshold. In other embodiments, other determination methods may also be used, which are not specifically limited here.
  • the error value is calculated by the international smoothness estimated value and the international smoothness index, and the error value is compared with the preset error threshold to determine the smoothness detection result of the road section to be detected, which can Improve the accuracy and efficiency of road surface roughness detection.
  • determining the flatness detection result of the road section to be detected according to the relationship between the error value and the preset error threshold includes: when the error value is less than or If it is equal to the preset error threshold, it is determined that the road section to be detected is a qualified road section. If the error value is greater than a preset error threshold, it is determined that the road section to be detected is a road section to be maintained.
  • the road section to be detected when the error value is less than or equal to the preset error threshold, it is determined that the road section to be detected is a qualified road section, and no maintenance process is performed on it; when the error value is greater than the preset error threshold, it is determined that the road surface of the road section to be detected is The road section to be repaired is included in the list of road sections to be repaired, and it is repaired.
  • the preferred preset error threshold is 0.5, and it can also be other values in other embodiments , not specifically limited here.
  • the type of the road section to be detected is determined by comparing the error value with the preset error threshold, thereby improving the road surface detection efficiency.
  • Figure 16 is a road surface roughness detection device provided by the present invention.
  • the road surface roughness detection device provided by the present invention includes: a first determination module 1401 for determining the road section to be detected; a detection module 1402, It is used to use the test vehicle to detect the road section to be detected to obtain the acceleration detection result; the acquisition module 1403 is used to obtain the international leveling of the road section to be detected according to the acceleration detection result and the target fitting formula obtained by pre-association degree estimation value; a second determining module 1404, configured to determine the roughness detection result of the road section to be detected according to the international roughness estimated value and the international roughness index.
  • the road section to be detected is determined, and then the road section to be detected is detected by a test vehicle to obtain the acceleration detection result; according to the acceleration detection result and the target fitting formula obtained by pre-association, the to-be-detected road section is obtained. Detecting the estimated international roughness value of the road section; determining the roughness detection result of the road section to be inspected according to the estimated international roughness value and the international roughness index.
  • the road surface roughness detection device provided by the present invention can reduce the equipment cost of road surface detection, improve the accuracy of detection results, and at the same time, the operation is simple and convenient, and the user experience is improved.
  • FIG. 17 is a schematic diagram of the physical structure of the electronic device provided in the embodiment of the present invention.
  • the present invention provides an electronic device, including: a processor (processor) 1501, a memory (memory) 1502, and a bus 1503; wherein, The processor 1501 and the memory 1502 complete mutual communication through the bus 1503; the processor 1501 is used to call the program instructions in the memory 1502 to execute the methods provided in the above method embodiments, for example, including: determining the road section to be detected; using The test vehicle detects the road section to be detected to obtain an acceleration detection result, and obtains an estimated value of the international smoothness of the road section to be detected according to the acceleration detection result and the target fitting formula obtained by pre-association; The roughness estimated value and the international roughness index are used to determine the roughness detection result of the road section to be detected.
  • the logic instructions in the above-mentioned memory 1503 may be implemented in the form of software function units and when sold or used as an independent product, may be stored in a computer-readable storage medium.
  • the essence of the technical solution of the present invention or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present invention.
  • the aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disc and other media that can store program codes.
  • the present invention also provides a computer program product
  • the computer program product includes a computer program stored on a non-transitory computer-readable storage medium
  • the computer program includes program instructions, and when the program instructions are executed by a computer During execution, the computer can execute the method provided above, which includes: determining the road section to be detected; using a test vehicle to detect the road section to be detected to obtain the acceleration detection result, and according to the acceleration detection result and the pre-associated target A fitting formula is used to obtain an estimated international roughness value of the road section to be detected; and a roughness detection result of the road section to be detected is determined according to the estimated international roughness value and an international roughness index.
  • the present invention also provides a non-transitory computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method provided above is implemented, and the method includes: determining the road section to be detected ;Use the test vehicle to detect the road section to be detected to obtain the acceleration detection result, and obtain the estimated international roughness of the road section to be detected according to the acceleration detection result and the target fitting formula obtained by pre-association; The estimated value of international roughness and the international roughness index determine the roughness detection result of the road section to be detected.
  • the device embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in One place, or it can be distributed to multiple network elements. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. It can be understood and implemented by those skilled in the art without any creative efforts.
  • each implementation can be implemented by means of software plus a necessary general hardware platform, and of course also by hardware.
  • the essence of the above technical solution or the part that contributes to the prior art can be embodied in the form of software products, and the computer software products can be stored in computer-readable storage media, such as ROM/RAM, magnetic discs, optical discs, etc., including several instructions to make a computer device (which may be a personal computer, server, or network device, etc.) execute the methods described in various embodiments or some parts of the embodiments.

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Mathematical Analysis (AREA)
  • Theoretical Computer Science (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Probability & Statistics with Applications (AREA)
  • Algebra (AREA)
  • Evolutionary Biology (AREA)
  • Structural Engineering (AREA)
  • Operations Research (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Civil Engineering (AREA)
  • Architecture (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Road Repair (AREA)
  • Length Measuring Devices With Unspecified Measuring Means (AREA)
  • Traffic Control Systems (AREA)

Abstract

本发明提供一种路面平整度检测方法、装置、电子设备及介质，所述方法包括：确定待检测路段；利用测试车辆对所述待检测路段进行检测，得到加速度检测结果；根据所述加速度检测结果以及预先关联得到的目标拟合公式，得到所述待检测路段的国际平整度估计值；根据所述国际平整度估计值与国际平整度指数，确定所述待检测路段的平整度检测结果。本发明提供的路面平整度检测方法能够降低路面检测的设备成本，提供检测结果的准确性，同时，操作简单便捷，提升了用户体验。

Description

一种路面平整度检测方法、装置、电子设备及介质
本申请要求于2022年04月28日提交中国专利局、申请号为202210470883.7、发明名称为“一种路面平整度检测方法、装置、电子设备及介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本发明涉及智能交通技术领域，尤其涉及一种路面平整度检测方法、装置、电子设备及介质。
背景技术
道路是重要的交通基础设施，既能满足人们出行的基本需求，又能保障交通运输效率，但道路在车辆荷载与环境因素双重作用下，会逐步劣化，开展及时的养护十分有必要。
目前，由于道路维修养护的预算往往是有限的，决定哪些道路优先进行维护是非常重要的，需要对道路服役状态进行评估，而路面平整度则是重要的评估指标之一。
现有技术中，路面平整度信息采集方法多需要昂贵的设备，如多功能路况快速检测系统CiCS，同时还需要经过专业培训的人员进行复杂的设备标定流程，而且只能通过特定的车辆设备进行检测，导致检测成本高昂，效率不高，而且难以推广至低等级公路，特别是在乡村公路的平整度检测中，导致用户体验较差。
发明内容
本发明提供一种路面平整度检测方法、装置、电子设备及存储介质，用以解决现有技术中检测成本过高、操作不方便、导致用户体验较差的技术问题，本发明以实现通过便捷的加速度采集装置确定路面的平整度，提高路面检测结果的准确性，降低设备成本，提升用户体验的目的。
第一方面，本发明提供一种路面平整度检测方法，包括：
确定待检测路段；
利用测试车辆对所述待检测路段进行检测，得到加速度检测结果；
根据所述加速度检测结果以及预先关联得到的目标拟合公式，得到所述待 检测路段的国际平整度估计值；
根据所述国际平整度估计值与国际平整度指数，确定所述待检测路段的平整度检测结果。
第二方面，本发明还提供一种路面平整度检测装置，包括：
第一确定模块，用于确定待检测路段；
检测模块，用于利用测试车辆对所述待检测路段进行检测，得到加速度检测结果；
获取模块，用于根据所述加速度检测结果以及预先关联得到的目标拟合公式，得到所述待检测路段的国际平整度估计值；
第二确定模块，用于根据所述国际平整度估计值与国际平整度指数，确定所述待检测路段的平整度检测结果。
第三方面，本发明还提供一种电子设备，包括存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序，所述处理器执行所述程序时实现如上述任一种所述路面平整度检测方法的步骤。
第四方面，本发明还提供一种非暂态计算机可读存储介质，其上存储有计算机程序，该计算机程序被处理器执行时实现如上述任一种所述路面平整度检测方法的步骤。
本发明提供一种路面平整度检测方法、装置、电子设备及介质，所述方法包括：确定待检测路段；利用测试车辆对所述待检测路段进行检测，得到加速度检测结果；根据所述加速度检测结果以及预先关联得到的目标拟合公式，得到所述待检测路段的国际平整度估计值；根据所述国际平整度估计值与国际平整度指数，确定所述待检测路段的平整度检测结果。本发明提供的路面平整度检测方法能够降低路面检测的设备成本，提高检测结果的准确性，同时，操作简单便捷，提升了用户体验。
说明书附图
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性 的前提下，还可以根据这些附图获得其他的附图。
图1是本发明提供的路面平整度检测方法的流程示意图；
图2是本发明提供的路面平整度检测方法中标定方法的流程示意图；
图3是加速度测试系统的示意图；
图4是关联算法的流程示意图；
图5是本发明提供的路面平整度采集方法的范例图；
图6是本发明提供的测试车辆在单位元10m以40km/h匀速行驶时V Range与IRI拟合图形的示意图；
图7是本发明提供的测试车辆在单位元20m以40km/h匀速行驶时V Range与IRI拟合图形的示意图；
图8是本发明提供的测试车辆在单位元30m以40km/h匀速行驶时V Range与IRI拟合图形的示意图；
图9是本发明提供的测试车辆在单位元40m以40km/h匀速行驶时V Range与IRI拟合图形的示意图；
图10是本发明提供的测试车辆在单位元50m以40km/h匀速行驶时V Range与IRI拟合图形的示意图；
图11是本发明提供的测试车辆在单位元60m以40km/h匀速行驶时V Range与IRI拟合图形的示意图；
图12是本发明提供的测试车辆在单位元70m以40km/h匀速行驶时V Range与IRI拟合图形的示意图；
图13是本发明提供的测试车辆在单位元80m以40km/h匀速行驶时V Range与IRI拟合图形的示意图；
图14是本发明提供的测试车辆在单位元90m以40km/h匀速行驶时V Range与IRI拟合图形的示意图；
图15是本发明提供的测试车辆在单位元100m以40km/h匀速行驶时V Range与IRI拟合图形的示意图；
图16是本发明提供的路面平整度检测装置的结构示意图；
图17是本发明提供的电子设备的结构示意图。
具体实施方式
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
为使本发明的上述目的、特征和优点能够更加明显易懂，下面结合附图和具体实施方式对本发明作进一步详细的说明。
图1为本发明提供的路面平整度检测方法的流程示意图，如图1所示，本发明提供的路面平整度检测方法，具体包括以下步骤：
步骤101：确定待检测路段。在本实施例中，需要确定待检测路段，该待检测路段可以是存在任意路况的路段，不对其作具体限定。
步骤102：利用测试车辆对所述待检测路段进行检测，得到加速度检测结果。在本实施例中，需要利用相同的测试车辆对待检测路段进行检测处理，得到加速度检测结果，其中，该测试车辆需要保持测试时的行驶速度，对待检测路段进行检测，将得到的加速度检测结果应用于待检测路段的IRI值确认中。其中，IRI为国际平整度指数，国际平整度指数IRI是指以四分之一车在速度为80km/h时的累积竖向位移值，IRI其实是一个无量纲的指数，但习惯上用m/km表示。
步骤103：根据所述加速度检测结果以及预先关联得到的目标拟合公式，得到所述待检测路段的国际平整度估计值；在本实施例中，需要根据步骤102中得到的加速度检测结果以及预先通过关联算法得到的目标拟合公式，得到该待检测路段的国际平整度估计值，本实施例中的目标拟合公式可以是一元线性方程，如y＝2x+5，其中，x表示加速度数值，y表示国际平整度估计值，将得到的加速度检测结果输入到该拟合公式中，便可得到该待检测路段的国际平整度估计值。需要说明的是，目标拟合公式的表示方式可以根据用户的实际需要进行设定，在此不作具体限定。
步骤104：根据所述国际平整度估计值与国际平整度指数，确定所述待检 测路段的平整度检测结果。在本实施例中，需要将得到的国际平整度估计值与国际平衡度指数进行比较，得到该待检测路段的平整度检测结果，其中，本实施例中，是通过计算国际平整度估计值与国际平整度指数之间的误差，然后通过误差与预设误差阈值之间的关系，确定出待检测路段的路面的平整度检测结果。需要说明的是，在其他实施例中，还可以直接通过国际平整度估计值与国际平整度指数之间的关系，确定出待检测路段的平整度检测结果，在此不作具体限定。
根据本发明提供的路面平整度检测方法，确定待检测路段，然后利用测试车辆对所述待检测路段进行检测，得到加速度检测结果；根据加速度检测结果以及预先关联得到的目标拟合公式，得到待检测路段的国际平整度估计值；根据国际平整度估计值与国际平整度指数，确定待检测路段的平整度检测结果。本发明提供的路面平整度检测方法能够降低路面检测的设备成本，提供检测结果的准确性，同时，操作简单便捷，提升了用户体验。
基于上述任一实施例，在本实施例中，在所述确定待检测路段之前，所述路面平整度检测方法还包括：获取样本测试路段；利用测试车辆对所述样本测试路段进行测试，得到多个加速度测试值，以及利用CiCS车辆对所述样本测试路段进行测试，得到多个标定的国际平整度指数；对时间同步处理后的多个加速度测试值和多个国际平整度指数进行拟合处理，得到目标拟合公式。
在本实施例中，如图2-图4所示，需要在确定待检测路段之前，完成国际平整度指数的标定以及通过关联算法确定出目标拟合公式，获取样本测试路段的路面平整度数据。
在本实施例中，首先选取一条合适的道路作为样本测试路段，利用两套操作系统参与测试，一个是CiCS系统，另一个是加速度测试系统，其中，CiCS系统负责提供标定的路面国际平整度指数(IRI数据)，加速度测试系统将加速度采集设备(加速度传感器)安装在测试车辆上用来采集详细的加速度数据，然后将采集到IRI数据和加速度数据进行时间同步处理。加速度传感器与网关设备进行无线通信。其中，CiCS系统(Customer Information Control System)，即客户信息控制系统，是一系列为应用提供联机事务处理和事务管理的产品，其功能是为商业应用提供一个事务处理环境，帮助客户建立三层次结构的联机 事务处理应用。
在本实施例中，时间同步操作之后，需要通过关联算法将标定的IRI数据与加速度数据之间建立一个线性关系，得到目标拟合公式，然后利用目标拟合公式可以在测试车辆不变、测试速度不变的情况下，对其他路段的IRI数据进行检测。具体地，关联算法首先构建特征指标体系，然后对加速度测试值进行伪振动速度转换处理，得到伪振动速度数值，最后同IRI值进行拟合。
在本实施例中，需要将自行开发的行车振动加速度数据采集设备安装在路况测试车辆上，具体的安装方式可以是通过定制合适的安装支架固定在车架上，也可以是直接利用磁吸固定在车架上。其中，加速度数据采集设备通过无线局域网与PC端连接，通过数据采集平台实时采集三轴加速度数据。需要说明的是，数据采集时测试车辆与CiCS车辆需要保持在同一幅路段，选择相同的起点开始测试，测试时需要保持匀速行驶，行驶车速具体可以是40km/h，也可以是50km/h，具体可以根据用户的实际需要进行设定，在此不作具体限定。
在本实施例中，具体如图5所示的路面测试系统进行数据采集。两套系统同时开展测试工作，数据采集人员配合确定测试起点和测试终点后进行采集记录，CiCS系统负责采集IRI数据，测试车辆安装加速度数据采集设备负责采集加速度数据，而且两辆车辆保持40km/h匀速行驶，CiCS车辆先出发，测试车辆随后出发，在到达测试终点后结束数据采集。其中，加速度数据采集设备选用加速度传感器，加速度传感器通过网关设备或无线局域网的方式将行车振动加速度数据实时发送到车内人员的PC端上，CiCS系统人员在路面测试后直接得出样本测试路段的IRI数据。
需要说明的是，为了保证根据加速度数据所求的路面IRI数据可以在任何路段上使用，需要将加速度数据与路段真实的IRI数据进行标定处理，即采集完同一路段的两组数据后，需要将两组数据进行时间同步，保证后续可以将两组数据进行关联。
其中，对加速度数据采集设备采集到的加速度数据进行时间调整，通过PC端上实时记录的数据文件存储时间进行初步同步，将时间精确到秒级，之后再对车辆行驶过程中竖直方向加速度进行挪移(±1s)，每1ms进行一次求 解，得到2000个结果，并在已知车速条件下，求得每10m内的加速度平均值，并与得到的IRI数据进行拟合，将其中拟合结果最好的一组的时间确定为两套系统设备数据进行时间同步的时间点。
根据本发明提供的路面平整度检测方法，通过利用测试车辆对样本测试路段进行测试，得到多个加速度测试值，以及利用CiCS车辆对样本测试路段进行测试，得到多个标定的国际平整度指数，然后通过得到的多个加速度测试值与多个标定的国际平整度指数进行拟合得到目标拟合公式，能够提高平整度检测的准确性，降低操作难度，提升用户体验。
基于上述任一实施例，在本实施例中，所述对时间同步处理后的多个加速度测试值和多个国际平整度指数进行拟合处理，得到目标拟合公式，包括：根据时间同步处理后的多个加速度测试值确定多个指标计算公式；对所述多个加速度测试值进行伪振动速度数据转换处理，得到多个伪振动速度数值；根据所述多个伪振动速度数值以及所述多个国际平整度指数，确定出目标拟合公式。
在本实施例中，在时间同步处理后，需要通过关联算法对数据进行处理，选取不同的特征指标数据进行计算，以选择最优的指标数据，再对加速度数据进行伪振动速度数据的转换，利用得到的伪振动速度数据与多个国际平整度指数进行线性拟合处理。其中，为了全面考查行车振动特征，构建多个指标计算公式，实现指标数据与国际平整度指数IRI进行关联，其中，多个指标计算公式包含算术平均偏差、算术平均值、标准差、偏斜度、驼峰度、极差、标准差、最大值、最小值、方差、中位数、最大绝对值、求和绝对值、平方和绝对值等14个指标计算公式。
其中，为全面考查行车振动特征，构建的14个指标计算公式具体如下述所示，记加速度数据为A＝(a 1,a 2,……,a n)，各指标的计算方法如式(1)-(14)所示。
Figure PCTCN2022131058-appb-000001
其中，公式中R a为算术平均偏差(mm)；n为采样点数；a i为第i个采样点的加速度(mg)；m为采样点加速度的算术平均值(mg)；算数平均值 的计算公式如公式(2)所示。
Figure PCTCN2022131058-appb-000002
Figure PCTCN2022131058-appb-000003
Figure PCTCN2022131058-appb-000004
Figure PCTCN2022131058-appb-000005
Range＝max(A)-min(A)      (6)
Figure PCTCN2022131058-appb-000006
Max＝max(A)      (8)
Min＝min(A)      (9)
Median＝median(a i)      (10)
Max abs＝max(|A|)       (11)
Figure PCTCN2022131058-appb-000007
Figure PCTCN2022131058-appb-000008
Figure PCTCN2022131058-appb-000009
其中，σ为标准差(mm)，S k为偏斜度，K为驼峰度，Range为极差，s 2为方差，Max为最大值，Min为最小值，Median为中位数，Max abs为最大值绝对值，Sum abs为求和绝对值，Sum square为平方和绝对值，m abs为采样点加速 度绝对值的算数平均值。
利用已时间同步的加速度数据，根据特征指标模型，求得每10m对应的加速度系列指标数据。
在本实施例中，还需要对多个加速度测试值进行伪振动速度数据转换处理，得到多个伪振动速度数值，其中，伪振动速度数据转换处理过程具体如下：求得每间隔10m对应的伪振动速度系列指标，具体的转换处理公式如下述公式(15)所示。
V1＝0+a 1；V2＝V1+a 2；V3＝V2+a 3；……Vn＝Vn-1+a n    (15)
生成伪振动速度数据A’＝(V1,V2,……,Vn)，将上述加速度特征指标中的A调整为A’，a i调整为Vi，然后利用伪振动速度数据对上述14个特征指标进行计算，将计算出的系列速度指标数据与IRI数据进行拟合处理，得到最合适的特征指标。
在本实施例中，还需要将多个伪振动速度数值以及多个国际平整度指数进行拟合处理，确定出目标拟合公式。
根据本发明提供的路面平整度检测方法，通过根据时间同步处理后的多个加速度测试值确定多个指标计算公式，然后对多个加速度测试值进行伪振动速度数据转换处理，得到多个伪振动速度数值，根据多个伪振动速度数值以及多个国际平整度指数，确定出目标拟合公式，用于后续其他路段的平整度检测处理中，提高平整度检测处理的速度。
基于上述任一实施例，在本实施例中，所述根据所述多个伪振动速度数值以及所述多个国际平整度指数，确定出目标拟合公式，包括：根据所述多个伪振动速度数值以及确定的多个指标计算公式，得到多个指标数值。根据所述多个指标数值与所述多个加速度测试值对应的多个国际平整度指数进行拟合处理，得到符合拟合程度条件的多个伪振动特征指标数值。利用所述多个伪振动特征指标数值以及预设的多个距离值进行拟合，得到目标拟合公式。
在本实施例中，需要根据多个伪振动速度数值以及确定的多个指标计算公式得到多个指标数值，通过加速度的多个指标数值与多个国际平整度指数进行拟合处理，得到符合拟合程度条件的多个伪振动特征指标数据，然后利用多个 伪振动特征指标数值以及预设的多个距离值进行拟合，得到目标拟合公式，其中，本实施例中，优选的目标拟合公式为线性拟合公式，在其他实施例中可以是其他类型的拟合公式，具体可以根据用户的实际需要进行选择，在此不作具体限定。
在本实施例中，符合拟合程度条件是指拟合程度最高的加速度指标计算公式，对拟合程度最高的伪振动速度特征指标分别取10m、20m、30m、40m、50m、60m、70m、80m、90m、100m进行拟合，将得到的指标数据代入线性回归计算公式中，即IRI＝aX+b，X表示为伪振动速度数据特征指标数据VRange，分析国际平整度指数IRI和伪振动速度数据指标数据之间的关系，得到目标拟合公式，并确定拟合优度R 2。具体的计算结果如图6-图15所示，结果显示在40km/h的车速下，VRange指标与IRI数据的相关性呈现上升的趋势，当计算单位元为100m时，相关性最好。
根据本发明提供的路面平整度检测方法，通过确定出的多个伪振动速度数据与多个国际平整度指数确定出目标拟合公式，用于后续其他路段的路面检测处理中，能够提高路面平整度检测处理的准确性和效率。
基于上述任一实施例，在本实施例中，所述根据所述加速度检测结果以及预先关联得到的目标拟合公式，得到所述待检测路段的国际平整度估计值，包括：对所述加速度检测结果进行伪振动速度数据的转换，得到目标伪振动速度数值。将所述目标伪振动速度数值输入预先关联得到的目标拟合公式中，得到所述待检测路段的国际平整度估计值。
在本实施例中，需要根据对加速度检测结果进行伪振动速度数据的转换，得到目标伪振动速度数值，将该数值输入上述实施例得到的目标拟合公式中，得到待检测路段的国际平整度估计值。需要说明的是，待检测路段可以是与样本测试路段不同的路段，将计算得到的目标伪振动速度数值代入目标拟合公式中计算IRI的估计值EIRI，根据得到的国际平整度估计值实现对待检测路段的路面平整度的测试与评价。
根据本发明提供的路面平整度检测方法，通过对加速度检测结果进行伪振动速度数据的转换，得到目标伪振动速度数值，然后将目标伪振动速度数值输入预先关联得到的目标拟合公式中，得到待检测路段的国际平整度估计值，用 于后续的路面平整度检测结果的评价中，保证了检测结果的准确性。
基于上述任一实施例，在本实施例中，所述根据所述国际平整度估计值与国际平整度指数，确定所述待检测路段的平整度测试结果，包括：根据所述国际平整度估计值与国际平整度指数计算出误差值。根据所述误差值与预设误差阈值的关系，确定出所述待检测路段的平整度检测结果。
在本实施例中，需要根据国际平整度估计值与国际平整度指数计算出误差值，然后根据误差值与预设误差阈值的关系，确定出待检测路段的平整度检测结果，需要说明的是，本实施例中是根据误差值与预设误差阈值的关系确定出待检测路段的平衡度检测结果的，在其他实施例中，还可以通过其他的确定方式，在此不作具体限定。
根据本发明提供的路面平衡度检测方法，通过国际平整度估计值与国际平整度指数计算出误差值，将误差值与预设误差阈值进行比较，确定出待检测路段的平整度检测结果，能够提高路面平整度检测的准确性和效率。
基于上述任一实施例，在本实施例中，所述根据所述误差值与预设误差阈值的关系，确定出所述待检测路段的平整度检测结果，包括：在所述误差值小于或等于预设误差阈值的情况下，确定所述待检测路段为合格路段。在所述误差值大于预设误差阈值的情况下，确定所述待检测路段为待维修路段。
在本实施例中，当该误差值小于或等于预设误差阈值时，确定待检测路段为合格路段，不对其进行维修处理，当误差值大于预设误差阈值时，确定待检测路段的路面为待维修路段，将其列入待维修路段列表中，对其进行维修处理，需要说明的是，本实施例中，优选的预设误差阈值为0.5，在其他实施例中还可以是其他的数值，在此不作具体限定。
根据本发明提供的路面平整度检测方法，通过比较误差值与预设误差阈值，确定出待检测路段的类型，提高了路面检测效率。
图16为本发明提供的一种路面平整度检测装置，如图16所示，本发明提供的路面平整度检测装置，包括：第一确定模块1401，用于确定待检测路段；检测模块1402，用于利用测试车辆对所述待检测路段进行检测，得到加速度检测结果；获取模块1403，用于根据所述加速度检测结果以及预先关联得到 的目标拟合公式，得到所述待检测路段的国际平整度估计值；第二确定模块1404，用于根据所述国际平整度估计值与国际平整度指数，确定所述待检测路段的平整度检测结果。
根据本发明提供的路面平整度检测装置，确定待检测路段，然后利用测试车辆对所述待检测路段进行检测，得到加速度检测结果；根据加速度检测结果以及预先关联得到的目标拟合公式，得到待检测路段的国际平整度估计值；根据国际平整度估计值与国际平整度指数，确定待检测路段的平整度检测结果。本发明提供的路面平整度检测装置能够降低路面检测的设备成本，提供检测结果的准确性，同时，操作简单便捷，提升了用户体验。
由于本发明实施例所述装置与上述实施例所述方法的原理相同，对于更加详细的解释内容在此不再赘述。
图17为本发明实施例中提供的电子设备实体结构示意图，如图17所示，本发明提供一种电子设备，包括：处理器(processor)1501、存储器(memory)1502和总线1503；其中，处理器1501、存储器1502通过总线1503完成相互间的通信；处理器1501用于调用存储器1502中的程序指令，以执行上述各方法实施例中所提供的方法，例如包括：确定待检测路段；利用测试车辆对所述待检测路段进行检测，得到加速度检测结果，根据所述加速度检测结果以及预先关联得到的目标拟合公式，得到所述待检测路段的国际平整度估计值；根据所述国际平整度估计值与国际平整度指数，确定所述待检测路段的平整度检测结果。
此外，上述的存储器1503中的逻辑指令可以通过软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本发明各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，RandomAccess Memory)、磁碟或者光盘等各种可以存储程序代码的介质。
另一方面，本发明还提供一种计算机程序产品，所述计算机程序产品包括存储在非暂态计算机可读存储介质上的计算机程序，所述计算机程序包括程序指令，当所述程序指令被计算机执行时，计算机能够执行上述所提供的方法，该方法包括：确定待检测路段；利用测试车辆对所述待检测路段进行检测，得到加速度检测结果，根据所述加速度检测结果以及预先关联得到的目标拟合公式，得到所述待检测路段的国际平整度估计值；根据所述国际平整度估计值与国际平整度指数，确定所述待检测路段的平整度检测结果。
又一方面，本发明还提供一种非暂态计算机可读存储介质，其上存储有计算机程序，该计算机程序被处理器执行时实现以执行上述提供的方法，该方法包括：确定待检测路段；利用测试车辆对所述待检测路段进行检测，得到加速度检测结果，根据所述加速度检测结果以及预先关联得到的目标拟合公式，得到所述待检测路段的国际平整度估计值；根据所述国际平整度估计值与国际平整度指数，确定所述待检测路段的平整度检测结果。
以上所描述的装置实施例仅仅是示意性的，其中所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。本领域普通技术人员在不付出创造性的劳动的情况下，即可以理解并实施。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到各实施方式可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件。基于这样的理解，上述技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品可以存储在计算机可读存储介质中，如ROM/RAM、磁碟、光盘等，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行各个实施例或者实施例的某些部分所述的方法。
本文中应用了具体个例对本发明的原理及实施方式进行了阐述，以上实施例的说明只是用于帮助理解本发明的方法及其核心思想；同时，对于本领域的一般技术人员，依据本发明的思想，在具体实施方式及应用范围上均会有改变之处。综上所述，本说明书内容不应理解为对本发明的限制。

Claims (10)

  1. 一种路面平整度检测方法，其特征在于，包括：
    确定待检测路段；
    利用测试车辆对所述待检测路段进行检测，得到加速度检测结果；
    根据所述加速度检测结果以及预先关联得到的目标拟合公式，得到所述待检测路段的国际平整度估计值；
    根据所述国际平整度估计值与国际平整度指数，确定所述待检测路段的平整度检测结果。
  2. 根据权利要求1所述的路面平整度检测方法，其特征在于，在所述确定待检测路段之前，所述路面平整度检测方法还包括：
    获取样本测试路段；
    利用测试车辆对所述样本测试路段进行测试，得到多个加速度测试值，以及利用CiCS车辆对所述样本测试路段进行测试，得到多个标定的国际平整度指数；
    对时间同步处理后的多个加速度测试值和多个国际平整度指数进行拟合处理，得到目标拟合公式。
  3. 根据权利要求2所述的路面平整度检测方法，其特征在于，所述对时间同步处理后的多个加速度测试值和多个国际平整度指数进行拟合处理，得到目标拟合公式，包括：
    根据时间同步处理后的多个加速度测试值确定多个指标计算公式；
    对所述多个加速度测试值进行伪振动速度数据转换处理，得到多个伪振动速度数值；
    根据所述多个伪振动速度数值以及所述多个国际平整度指数，确定出目标拟合公式。
  4. 根据权利要求3所述的路面平整度检测方法，其特征在于，所述根据所述多个伪振动速度数值以及所述多个国际平整度指数，确定出目标拟合公式，包括：
    根据所述多个伪振动速度数值以及确定的多个指标计算公式，得到多个指 标数值；
    根据所述多个指标数值与所述多个加速度测试值对应的多个国际平整度指数进行拟合处理，得到符合拟合程度条件的多个伪振动特征指标数值；
    利用所述多个伪振动特征指标数值以及预设的多个距离值进行拟合，得到目标拟合公式。
  5. 根据权利要求1所述的路面平整度检测方法，其特征在于，所述根据所述加速度检测结果以及预先关联得到的目标拟合公式，得到所述待检测路段的国际平整度估计值，包括：
    对所述加速度检测结果进行伪振动速度数据的转换，得到目标伪振动速度数值；
    将所述目标伪振动速度数值输入预先关联得到的目标拟合公式中，得到所述待检测路段的国际平整度估计值。
  6. 根据权利要求1所述的路面平整度检测方法，其特征在于，所述根据所述国际平整度估计值与国际平整度指数，确定所述待检测路段的平整度测试结果，包括：
    根据所述国际平整度估计值与国际平整度指数计算出误差值；
    根据所述误差值与预设阈值的关系，确定出所述待检测路段的平整度检测结果。
  7. 根据权利要求6所述的路面平整度检测方法，其特征在于，所述根据所述误差值与预设误差阈值的关系，确定出所述待检测路段的平整度检测结果，包括：
    在所述误差值小于或等于预设误差阈值的情况下，确定所述待检测路段为合格路段；
    在所述误差值大于预设误差阈值的情况下，确定所述待检测路段为待维修路段。
  8. 一种路面平整度检测装置，其特征在于，包括：
    第一确定模块，用于确定待检测路段；
    检测模块，用于利用测试车辆对所述待检测路段进行检测，得到加速度检测结果；
    获取模块，用于根据所述加速度检测结果以及预先关联得到的目标拟合公式，得到所述待检测路段的国际平整度估计值；
    第二确定模块，用于根据所述国际平整度估计值与国际平整度指数，确定所述待检测路段的平整度检测结果。
  9. 一种电子设备，其特征在于，包括：处理器、存储器和总线，其中，
    所述处理器和所述存储器通过所述总线完成相互间的通信；
    所述存储器存储有可被所述处理器执行的程序指令，所述处理器调用所述程序指令能够执行如权利要求1至7中任一项所述路面平衡度检测方法的步骤。
  10. 一种非暂态计算机可读存储介质，其特征在于，所述非暂态计算机可读存储介质存储计算机指令，所述计算机指令使所述计算机执行如权利要求1至7中任一项所述路面平整度检测方法的步骤。
PCT/CN2022/131058 2022-04-28 2022-11-10 一种路面平整度检测方法、装置、电子设备及介质 WO2023025334A1 (zh)

Priority Applications (1)

Application Number Priority Date Filing Date Title
ZA2023/04008A ZA202304008B (en) 2022-04-28 2023-03-30 Road surface roughness measurement method and device, and electronic device and medium

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202210470883.7A CN114996654B (zh) 2022-04-28 2022-04-28 一种路面平整度检测方法、装置、电子设备及介质
CN202210470883.7 2022-04-28

Publications (1)

Publication Number Publication Date
WO2023025334A1 true WO2023025334A1 (zh) 2023-03-02

Family

ID=83024506

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2022/131058 WO2023025334A1 (zh) 2022-04-28 2022-11-10 一种路面平整度检测方法、装置、电子设备及介质

Country Status (3)

Country Link
CN (1) CN114996654B (zh)
WO (1) WO2023025334A1 (zh)
ZA (1) ZA202304008B (zh)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116295227A (zh) * 2023-05-25 2023-06-23 湖南联智科技股份有限公司 一种路面平整度检测的方法、系统及存储介质
CN116702000A (zh) * 2023-05-31 2023-09-05 深圳技术大学 一种基于多层数据融合的路面质量动态监测与评估方法
CN116797102A (zh) * 2023-07-21 2023-09-22 西安科技大学 一种基于iri的路面养护决策确定方法及系统

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114996654B (zh) * 2022-04-28 2023-05-09 中国公路工程咨询集团有限公司 一种路面平整度检测方法、装置、电子设备及介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104164829A (zh) * 2014-08-04 2014-11-26 武汉景行致远科技有限公司 基于移动终端的路面平整度检测方法和智能路面信息实时监测系统
JP2015161580A (ja) * 2014-02-27 2015-09-07 株式会社日立製作所 路面点検システム及び路面点検方法
CN109186528A (zh) * 2018-09-20 2019-01-11 长安大学 一种基于手机测得的加速度确定国际平整度指数的理论方法
CN114996654A (zh) * 2022-04-28 2022-09-02 中国公路工程咨询集团有限公司 一种路面平整度检测方法、装置、电子设备及介质

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104120644B (zh) * 2013-04-26 2016-03-02 同济大学 一种基于重力加速度传感器的路面平整度检测方法
CN104699980A (zh) * 2015-03-24 2015-06-10 江苏科技大学 基于加速度传感器实现iri值软测量的方法
AU2017223240B2 (en) * 2016-02-22 2021-10-21 Tracker Connect (Pty) Limited Road monitoring method and system
CN112030683A (zh) * 2020-07-30 2020-12-04 南通市顺通公路交通工程检测有限公司 一种路面平整度检测方法
CN113191291A (zh) * 2021-05-10 2021-07-30 南京金智视讯技术有限公司 一种基于运动相机的路面平整度检测方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2015161580A (ja) * 2014-02-27 2015-09-07 株式会社日立製作所 路面点検システム及び路面点検方法
CN104164829A (zh) * 2014-08-04 2014-11-26 武汉景行致远科技有限公司 基于移动终端的路面平整度检测方法和智能路面信息实时监测系统
CN109186528A (zh) * 2018-09-20 2019-01-11 长安大学 一种基于手机测得的加速度确定国际平整度指数的理论方法
CN114996654A (zh) * 2022-04-28 2022-09-02 中国公路工程咨询集团有限公司 一种路面平整度检测方法、装置、电子设备及介质

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
DENG HAI-BIN; LIU YING-CHEN; DU YU-CHUAN; LIU CHENG-LONG: "Pavement Roughness Measurement System Based on Distributed Sensors", TRANSPORT RESEARCH, vol. 2, no. 02, 30 April 2016 (2016-04-30), pages 39 - 45, XP009543701, ISSN: 2095-9931, DOI: 10.16503/j.cnki.2095-9931.2016.02.007 *
WANG HUIYONG; ZHANG PENG: "Research on the Evaluation Method of Pavement Roughness Based on Smartphone", HIGHWAYS & AUTOMOTIVE APPLICATIONS, no. 05, 31 October 2017 (2017-10-31), pages 188 - 191, XP009543703, ISSN: 1671-2668 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116295227A (zh) * 2023-05-25 2023-06-23 湖南联智科技股份有限公司 一种路面平整度检测的方法、系统及存储介质
CN116295227B (zh) * 2023-05-25 2023-07-28 湖南联智科技股份有限公司 一种路面平整度检测的方法、系统及存储介质
CN116702000A (zh) * 2023-05-31 2023-09-05 深圳技术大学 一种基于多层数据融合的路面质量动态监测与评估方法
CN116702000B (zh) * 2023-05-31 2024-03-29 深圳技术大学 一种基于多层数据融合的路面质量动态监测与评估方法
CN116797102A (zh) * 2023-07-21 2023-09-22 西安科技大学 一种基于iri的路面养护决策确定方法及系统

Also Published As

Publication number Publication date
ZA202304008B (en) 2023-04-26
CN114996654B (zh) 2023-05-09
CN114996654A (zh) 2022-09-02

Similar Documents

Publication Publication Date Title
WO2023025334A1 (zh) 一种路面平整度检测方法、装置、电子设备及介质
CN110058258B (zh) 一种基于混合型激光雷达的大气边界层探测方法
EP1906165B1 (en) Method and device for calculating magnitude of cornering force generated in wheel
CN105923014B (zh) 一种基于证据推理规则的轨道高低不平顺幅值估计方法
CN116227752B (zh) 一种基于物联网的园区设施管理系统
JP2012242214A (ja) 異音検査方法及び異音検査装置
CN112105923B (zh) 利用人工智能深度学习的生物测量对象浓度测量方法
CN108846200B (zh) 一种基于迭代法的准静态桥梁影响线识别方法
CN117196353A (zh) 基于大数据的环境污染评估与监测方法及系统
CN114445404A (zh) 基于亚像素边缘检测的结构振动响应自动识别方法及系统
CN115544763A (zh) 一种路面平整度预测方法、系统及介质
CN109919511B (zh) 既有铁路线形评估方法及系统
CN116879866B (zh) 一种基于激光雷达三维数据的路面平整度评价方法
CN109761123A (zh) 电梯轿厢内环境综合监测装置
CN116794681A (zh) 气溶胶后向散射系数廓线反演方法、装置及设备
CN116704716A (zh) 实验室恒温恒湿异常报警方法、装置及计算机设备
CN109029711B (zh) 一种动态的桥梁结构多阶频率识别方法
CN109341650B (zh) 一种基于最小检测代价的无人机高程误差双门限修正方法
CN112665730B (zh) 震前温度异常检测方法、装置、设备和存储介质
CN115524086A (zh) 基于车桥耦合振动的统计矩曲率梁式桥损伤识别方法
CN113375777A (zh) 一种列车的超载检测方法和超载检测系统
WO2019232737A1 (zh) 一种基于迭代法的准静态桥梁影响线识别方法
CN116879121B (zh) 一种基于光纤传感技术的空气颗粒物浓度实时监测系统
CN111076667A (zh) 一种金属表面划痕动态快速测量方法
CN116577055B (zh) 基于多源传感数据的桥梁状态评估方法及系统

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22860680

Country of ref document: EP

Kind code of ref document: A1