In-situ calibration method, calibration device and system for road surface flatness meter

Abstract

The application discloses a kind of road flatness gauge in-situ calibration method, calibration device and system, belong to the field of calibration technology.Method includes according to target flatness index range determines the target rotating speed of elevation simulator;According to the simulated vehicle speed of laser flatness gauge test system to be calibrated determines sampling pulse signal;According to target rotating speed, drive elevation simulator simulates high program sequence value, and the flatness index corresponding to high program sequence value is in target flatness index range;Receive the longitudinal profile high program sequence measurement data measured based on sampling pulse signal sent by elevation simulator;According to longitudinal profile high program sequence measurement data, obtain flatness index standard value;Receive the flatness index measurement value based on sampling pulse signal obtained by laser flatness gauge test system to be calibrated;According to flatness index standard value and flatness index measurement value, laser flatness gauge test system is calibrated.This technical scheme can quickly calibrate the performance of laser flatness gauge test system.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of calibration technology, and particularly relates to a road surface flatness in-situ calibration method, a calibration device and a system. BACKGROUND

[0002] Road surface flatness is an important index in road surface evaluation and road surface construction acceptance, and mainly reflects the flatness of road surface longitudinal section profile curve, and is generally evaluated by IRI (international roughness index). IRI is usually measured and calculated by a laser flatness tester system (or a vehicle-mounted road laser flatness tester) with automatic detection function for measuring road surface international flatness index. With the popularization and application of the laser flatness tester system, the attention to the measurement data accuracy and stability of such system is increasingly improved.

[0003] The test road of the verification test can select a standard test road method and a road section test method. Among them, the standard test road method is to arrange test blocks with different thicknesses and different numbers at different positions along the test line of the platform road to change the flatness of the test line according to the IRI value of the required road section of the verification project. The road section test method is to select four road sections with different flatness levels on the actual operating road.

[0004] No matter the standard test road method and the road section test method, first of all, the point positions are marked at intervals of 250 mm from the starting point of the test road, and then the relative elevation data of each point position of the test road is measured by using a precision level. For the standard test road method, only one test road is needed, and first of all, the point positions are marked at intervals of 250 mm on the road section, and then the relative elevation data of each point position of the test road is measured by using a precision level. In order to simulate different road undulations, test blocks are arranged at some marked point positions, and then the road elevation data at the corresponding marked points are added to the height data of the test blocks, so that the longitudinal section elevation data of the test road containing the height of the test blocks can be obtained, and then the IRI value of the test road section can be calculated according to the longitudinal section elevation data of the test road. By changing the number of test blocks in the test road section, test roads with different undulations can be simulated, so as to obtain the IRI values of each standard test road.

[0005] For the road section method, four times of leveling measurement are needed for the four selected road sections, and the longitudinal section elevation data of the road surfaces of the four road sections are measured, and then the IRI value of each test road section can be calculated according to the longitudinal section elevation data of the road surfaces of the four road sections.

[0006] In the process of implementing the calibration method, it is found that: 1) because of the need for road closure test, management coordination is very difficult, and it is difficult to find suitable test roads outdoors; 2) it is necessary to use a level to test, which is slow, low in efficiency, time-consuming and labor-intensive; 3) affected by the weather, in the event of sudden weather changes, the on-site calibration work will have to be interrupted, leading to a delay in the construction period; 4) the test block does not fit tightly with the road surface, causing the test block to be displaced by the vehicle when driving at high speed, resulting in a deviation between the actual elevation curve and the theoretical calculation value; 5) the test block is a vertical step with a height of 20mm in the driving direction, and when the vehicle is tested at high speed, it will have a great impact on the vehicle, posing a certain driving safety hazard. SUMMARY

[0007] In order to solve the above problems, the present application provides a road flatness in-situ calibration method, device and system.

[0008] The present application provides a road flatness in-situ calibration method, device and system.

[0009] According to the target flatness index range, the target rotating speed of the elevation simulator is determined; according to the simulated vehicle speed of the laser flatness tester to be calibrated, a sampling pulse signal is determined; the rotating part of the elevation simulator is driven to rotate in a single rotating direction at the target rotating speed to drive the simulation part of the elevation simulator to simulate a high sequence value, the flatness index corresponding to the high sequence value being within the target flatness index range; longitudinal section high sequence measurement data measured based on the sampling pulse signal and sent by the elevation simulator is received; a flatness index standard value is obtained according to the longitudinal section high sequence measurement data; a flatness index measurement value obtained by the laser flatness tester to be calibrated based on the sampling pulse signal is received; and the laser flatness tester is calibrated according to the flatness index standard value and the flatness index measurement value.

[0010] In the method described above, optionally, the target rotating speed of the elevation simulator is determined according to the target flatness index range, which includes:

[0011] According to the target flatness index range, a rotating speed range of the elevation simulator is determined; and the target rotating speed is determined according to the rotating speed range of the elevation simulator.

[0012] The present application provides a road flatness in-situ calibration method, device and system.

[0013] The target rotation speed determination module is configured to determine a target rotation speed of the elevation simulator according to the target roughness index range; the trigger signal determination module is configured to determine a sampling pulse signal according to a simulated vehicle speed of the laser roughness tester to be calibrated; the elevation simulation driving module is configured to drive a rotating part of the elevation simulator to rotate in a single rotation direction at the target rotation speed to drive a simulation part of the elevation simulator to simulate a high sequence value, the roughness index corresponding to the high sequence value being within the target roughness index range; the elevation data receiving module is configured to receive longitudinal profile high sequence measurement data measured by the elevation simulator based on the sampling pulse signal; the standard value obtaining module is configured to obtain a roughness index standard value according to the longitudinal profile high sequence measurement data; the measurement value receiving module is configured to receive a roughness index measurement value obtained by the laser roughness tester to be calibrated based on the sampling pulse signal; and the roughness calibration module is configured to calibrate the laser roughness tester according to the roughness index standard value and the roughness index measurement value.

[0014] In the device described above, optionally, the target rotation speed determination module comprises:

[0015] The rotation speed range determination unit is configured to determine a rotation speed range of the elevation simulator according to the target roughness index range; and the target rotation speed determination unit is configured to determine the target rotation speed according to the rotation speed range of the elevation simulator.

[0016] In another aspect, the present application provides a roughness tester in-situ calibration system, which comprises:

[0017] The test platform is configured to carry the laser roughness tester to be calibrated; the elevation simulator is configured to simulate a high sequence value and is located below a longitudinal profile sensor of the laser roughness tester; and the calibration device is the roughness tester in-situ calibration device described above.

[0018] In the system described above, optionally, the test platform has a platform body and a bump generator; the bump generator is configured to bump the laser roughness tester placed on the platform body to simulate road bumps during driving; and the longitudinal profile sensor comprises a laser ranging sensor and an acceleration sensor.

[0019] In the system described above, optionally, the elevation simulator is an eccentric wheel and slider mechanism, the rotating part comprises an eccentric wheel of the elevation simulator, and the simulation part comprises a slider of the elevation simulator, the upper end surface of the slider being located below the longitudinal profile sensor of the laser roughness tester.

[0020] In still another aspect, the present application provides an electronic device, comprising: a processor and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the in-situ calibration method of road roughness as described above.

[0021] In still another aspect, the present application provides a computer readable storage medium having stored therein at least one instruction, at least one program, a code set or an instruction set, which are loaded and executed by a processor to implement the in-situ calibration method of road roughness as described above.

[0022] In still another aspect, the present application provides a computer program product containing instructions which, when the computer program product runs on a computer, cause each step of the method as described above and various possible implementations to be performed by the computer.

[0023] The technical solutions provided by the embodiments of the present application have the following beneficial effects:

[0024] 1) The IRI value output result of the laser roughness tester test system can be calibrated without relying on a standard test road, and the metrological traceability is achieved. Compared with the standard test road method, the calibration process does not rely on the standard test road section, the whole machine metrological traceability is realized without site constraints, the huge cost of standard test road construction is saved, the difficulty of calibration of the laser roughness tester test system is reduced, and the calibration work of such equipment is easier to promote and popularize.

[0025] 2) The sampling pulse signal is used as the excitation source, and the distance between the height simulator and the laser roughness tester test system in the horizontal direction is synchronized, so that the simulated height curve generated by the height simulator is completely matched with the height curve collected by the laser roughness tester test system.

[0026] 3) The laser roughness tester test system to be calibrated is made to produce jolt vibration up and down and left and right by the jolt generator, the jolt in the actual driving process is simulated, the calibration process is closer to the actual working condition, the state of the laser roughness tester test system when driving on the actual road surface can be simulated, and the dynamic calibration process of the laser roughness tester test system is realized.

[0027] 4) The combination of the pulse generator for outputting the sampling pulse signal and the height simulator is realized, the problem of rapid calibration of the laser roughness tester test system is solved, accurate and stable calibration parameters can be quickly obtained, and the performance of the laser roughness tester test system to be calibrated is quickly calibrated. BRIEF DESCRIPTION OF DRAWINGS

[0028] Figure 1 A flowchart of a road roughness in-situ calibration method provided by the embodiments of the present application;

[0029] Figure 2 A structural schematic view of a road surface flatness in-situ calibration device provided by an embodiment of the present application is shown in FIG. 1.

[0030] Figure 3 A structural schematic view of a road surface flatness in-situ calibration system provided by an embodiment of the present application is shown in FIG. 2.

[0031] Figure 4 A structural schematic view of a road surface flatness in-situ calibration device provided by an embodiment of the present application is shown in FIG. 1. Figure 3 An enlarged view of A in FIG. 1. DETAILED DESCRIPTION

[0032] The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0033] Referring to FIG. 1, Figure 1 An embodiment of the present application provides a road surface flatness in-situ calibration method, which includes the following steps:

[0034] Step 101: determining a target rotating speed of the elevation simulator according to a target flatness index range.

[0035] The target flatness range can be determined according to relevant calibration test requirements, and the embodiment does not limit the specific value range, for example, can be 1 m / km~2 m / km, 2 m / km~3 m / km, 3 m / km~4 m / km, etc. A specific IRI in the target flatness index range is selected as the target IRI to be simulated, for example, 1.5 m / km. After determining the target IRI, the target speed of the elevation simulator is determined according to the target IRI, and the specific process of determining the speed is not limited in the embodiment, which can be, for example, when the target flatness range is 1 m / km~2 m / km, and the target IRI value is set to 1.5, the speed of the elevation simulator is first set to 5 r / s. Through another flatness instrument device, the device collects elevation information through a laser, cooperates with the pulse information output by the signal generator, collects the speed and distance, and can collect the high sequence of a section (for example, 100 m) of elevation information. The high sequence can be used to calculate an IRI value. When the IRI value is less than 1.5, the number of protrusions (which affect flatness) in the high sequence is not enough, and the speed needs to be adjusted, for example, to 10 r / s. At this time, the pulse frequency output by the signal generator is unchanged, and the number of protrusions contained in the high sequence collected again is twice that at 5 r / s, so that the IRI value calculated from the high sequence will be larger. Through the flatness instrument device, the corresponding road section of 100 m is also collected, and the IRI value at this time is calculated and compared with the set IRI=1.5. If it meets the preset requirement, the speed at this time is taken as the target speed, otherwise the speed of the elevation simulator is continuously adjusted. When the preset requirement is met, the speed of the elevation simulator is continuously increased, and when the preset requirement is exceeded, the speed of the elevation simulator is decreased. In other embodiments, the calculated IRI can also be compared with the target flatness range. If it is within the target flatness range, the speed of the elevation simulator at this time is taken as the target speed, and if it is not within the target flatness range, the above steps are repeatedly executed: the speed of the elevation simulator is continuously adjusted, the high sequence is collected, the IRI value is calculated again, and the comparison with the target flatness range is performed again.

[0036] In order to better improve the calibration performance of the method, the target speed of the elevation simulator is determined according to the target flatness index range, which includes: determining the speed range of the elevation simulator according to the target flatness index range; and determining the target speed according to the speed range of the elevation simulator. Specifically, the target flatness index is determined according to the target flatness index range, the target speed of the elevation simulator is determined according to the target flatness index, the target flatness index range is traversed according to the foregoing method, and thus the speed range of the elevation simulator is determined. A speed is selected from the speed range as the target speed, and the selection method can be a random selection method.

[0037] Step 102, determining the sampling pulse signal according to the simulation vehicle speed of the laser flatness tester test system to be calibrated.

[0038] The method uses the sampling pulse signal as the excitation source, synchronizes the distance between the elevation simulator and the test system (i.e. the road flatness in-situ calibration system described below) in the driving direction, and ensures that the simulated longitudinal profile elevation curve generated by the elevation simulator completely matches the longitudinal profile curve collected by the road flatness in-situ calibration system. By matching the elevation data of the elevation simulator and the distance information generated by the sampling pulse signal, the longitudinal profile elevation curve and the flatness index IRI within the road section length can be output 标 By setting the sampling pulse signal (or flatness distance signal), the number of data collected on a certain road section can be determined.

[0039] The simulated vehicle speed can be 50 km / h, 60 km / h, 80 km / h, or 100 km / h. The simulated vehicle speed used by the method has a wide range and meets the requirements.

[0040] Step 103, driving the rotating part of the elevation simulator to rotate in a single rotation direction according to the target rotation speed to drive the simulation part of the elevation simulator to simulate the high sequence value, and the flatness index corresponding to the high sequence value is within the target flatness index range.

[0041] The rotation direction of the elevation simulator is a single rotation direction, i.e. during the collection process of the high sequence value, the rotation direction of the elevation simulator is either counterclockwise or clockwise.

[0042] After obtaining the target rotation speed through the foregoing steps, the rotating part of the elevation simulator is driven to rotate in a single rotation direction according to the target rotation speed. The rotation of the rotating part can drive the simulation part of the elevation simulator to move up and down linearly, thereby simulating the high sequence value, and the flatness index corresponding to the high sequence value is within the target flatness index range.

[0043] Step 104, receiving the longitudinal profile high sequence measurement data measured based on the sampling pulse signal sent by the elevation simulator.

[0044] During the up and down linear motion of the simulation part of the elevation simulator, a height value is generated. Based on the sampling pulse signal, the height value is sampled, and the longitudinal profile high sequence measurement data is obtained.

[0045] Step 105, obtaining the flatness index standard value according to the longitudinal profile high sequence measurement data.

[0046] For how to obtain the flatness index standard value according to the longitudinal profile high sequence measurement data, please refer to the related methods for calculating the flatness index value in the prior art, which will not be described here.

[0047] Step 106, receiving the flatness index measurement value obtained by the laser flatness tester test system to be calibrated based on the sampling pulse signal.

[0048] The flatness index measurement value obtained by the laser flatness tester test system to be calibrated based on the sampling pulse signal.

[0049] The laser flatness tester test system is an automatic detection system for measuring the international flatness index of the road surface, and is a special detection device for evaluating the driving quality of the road surface. The device mainly comprises a bearing vehicle, a laser (or a laser sensor), an acceleration sensor, a distance sensor, a lower computer and a portable computer. The laser and the acceleration sensor can be collectively referred to as a longitudinal section sensor, and the related structure can be referred to in the laser flatness tester test system shown in Figure 3 The system can be referred to as a vehicle-mounted laser flatness tester or a vehicle-mounted laser flatness tester test system.

[0050] The distance sensor is generally composed of an optical encoder and is mainly used for recording the distance and real-time speed of the vehicle; the laser is used for measuring the relative height of the laser to the road surface; the acceleration sensor is fixed with the laser and mainly records the acceleration signal of the laser in the vertical direction; the lower computer comprises a power supply, a signal processing module and a data acquisition hardware; the portable computer mainly installs a running software and performs data processing on the collected various signals, and finally calculates the international road surface flatness IRI value.

[0051] In application, first, the optical encoder in the distance sensor is calibrated, the total number of pulses (e.g. 100000) generated by the pulse encoder within a certain distance (e.g. 100m) in the driving direction is counted, and the longitudinal displacement length corresponding to one pulse (1mm / pulse), i.e. the pulse coefficient, is calculated. In actual testing, the distance traveled by the vehicle in the driving direction can be calculated by counting the current pulse number, and the current speed of the vehicle can be calculated by calculating the period of the pulse. When the bearing vehicle travels at a certain test speed, the laser measures the relative height of the laser to the road surface, and the acceleration sensor is used to calculate the acceleration signal of the laser vibrating up and down when the vehicle jounces, and the height value of the laser sensor vibrating up and down can be obtained by twice integrating the acceleration signal. The height value measured by the laser is subtracted from the height value calculated by the acceleration sensor, and the relative height value of the road surface is obtained, and then the IRI value of the road surface is obtained.

[0052] Since the method does not use an actual road section, the bearing vehicle does not need to travel forward. The sampling pulse signal generated by the signal generator matches the distance traveled by the bearing vehicle. The signal generator is arranged in the road flatness in-situ calibration device.

[0053] Step 107, calibrate the laser flatness tester test system according to the flatness index standard value and the flatness index measured value.

[0054] The flatness index standard value IRI is calculated by recording the longitudinal profile elevation data of the elevation simulator in the horizontal direction. 标 The corresponding flatness index measured value IRI output by the laser flatness tester test system to be calibrated 测 Conduct comparative analysis, calculate the relative error of road surface flatness, complete the calibration of the test system. The calculation method of relative error can be:

[0055] Relative error:

[0056] It should be noted that: the relative error of the flatness value measured by the first level flatness tester is less than or equal to 5%; the relative error of the flatness value measured by the second level flatness tester is less than or equal to 15%; if the relative error is greater than 15%, the test result does not meet the requirements.

[0057] The laser flatness tester test system to be calibrated simulates the vehicle testing at a certain speed by inputting the sampling pulse signal. The laser sensor collects the longitudinal profile elevation information generated by the elevation simulator, and the distance information generated by the sampling pulse signal. The laser flatness tester test system can output the longitudinal profile elevation curve and the flatness index measured value IRI in the road section. 测 .

[0058] In other embodiments, the laser flatness tester test system is jolted to simulate the road jolt when driving. At this time, the laser sensor also collects the elevation information generated by the jolt of the vehicle, and the acceleration sensor records the vertical acceleration signal generated by the jolt of the laser sensor. The elevation information measured by the laser can be corrected by integral calculation, and the longitudinal profile elevation information generated by the elevation simulator is finally obtained. The laser flatness tester test system can output the longitudinal profile elevation curve and the flatness index measured value IRI in the road section. 测 .

[0059] The elevation simulator is described below

[0060] The elevation simulator is a slider driven by an eccentric wheel, which can produce periodic motion in the vertical direction. When the theoretical eccentricity is e, the linear displacement H(t) provided by the slider in the vertical direction with respect to time t is shown in formula (1).

[0061]

[0062] In the formula, A represents the direct current component / average value of the periodic signal, corresponding to the moment when the absolute value of the speed of the slider is maximum, unit: mm; f is the rotation frequency of the eccentric wheel, unit: Hz; H(t) = A + E sin(2πft + φ) (1) where A

[0063] H(t) physically represents the relationship between the elevation value of a road side line and time. When the eccentric wheel rotates at a high speed, the elevation value changes greatly in a short time or a short distance; when the eccentric wheel rotates at a low speed, the elevation value changes greatly in a long time or a long distance. According to the calculation principle of IRI, the road roughness is different under different elevation wavelengths, so the road roughness of any value can be simulated by changing the frequency f of the eccentric wheel.

[0064] In order to compare the test research, the initial value of the displacement signal H(t) is truncated and ensured to be the maximum value, that is, the origin of the data H(t = 0) = esin(2πft + π / 2). However, H(t) is a theoretical value (especially the uncertainty of its initial phase), and the actual displacement true value provided thereby needs to be measured in advance by another set of high-precision ranging system and recorded as a standard value.

[0065] When the ranging laser of the test system measures the slider at a vertical angle, the distance signal collected is G(t). In theory, G(t) should also be a sinusoidal time sequence curve, and its mathematical model conforms to formula (2).

[0066]

[0067] wherein A G represents the direct current component / average value of the periodic signal, E is the amplitude of the sine signal after removing the direct current component (when the ideal correction of inertia, jolt, etc. of the test system is made, the value is equal to e), unit: mm; is the initial phase, unit: rad.

[0068] Similarly, affected by the initial phase, the measurement signal G(t) needs to be truncated at the highest point, that is, G(t = 0) = A G +Esin(2πft+π / 2). Subsequently, the test system calculates and outputs the simulated IRI' based on the truncated G(t) sequence according to the data processing program.

[0069] Generally, the test system is triggered by an equal distance pulse to sample and measure. Assuming that the trigger distance of the test system is d0 (unit: m), and the corresponding pulse number is n. When the simulation driving speed is V (unit: km / h), the functional relationship between them is seen in (3).

[0070] d0 = V·t / 3.6 (3)

[0071] Then, the trigger time t0 (unit: s) required by the test system to record the distance d0 can be obtained by formula (4).

[0072] t0 = 3.6d0 / V (4)

[0073] Since d0 is usually less than 0.02m, the corresponding trigger time t0 is also extremely small, and on the contrary, the corresponding sampling rate fs is high. For example, when V = 60km / h and d0 = 0.02m, t0 is only 0.0012s and fs = 833.33Hz. When the eccentric wheel mechanism rotates at a frequency f, the high sampling rate ensures that the distance measuring laser can collect the position of the slider in real time at a high frequency. Especially, the lower f is, the higher the frequency of the slider being measured in a period is. This sampling characteristic ensures the high accuracy of data fitting.

[0074] After obtaining a large amount of measurement data G(t), the test system calculates the road flatness with D0 as the distance period, and D0 is usually 1m, 5m, 10m, etc. The corresponding calculation period is denoted as T0. Among them,

[0075] T0 = 3.6D0 / V (5)

[0076] When the speed V = 60km / h, T0 is 0.216s, 1.08s, 2.16s, etc. In T0 time, the test system records the simulated displacement as D0. By setting different f, the diversity of the road surface elevation of this section is realized. In order to simulate the measurement performance of the measured system, f is usually changed at least 5 times, such as f1, f2, f3, …, f5, and the corresponding displacement measurement results H1(t), H2(t), …, H5(t) of the high-precision distance measuring system are recorded in real time. Based on these H i (t) sequences and according to the time interval T0, the road surface elevation value IRI i , i = 1, 2, ….

[0077] Similarly, by changing the eccentric wheel driving frequency f of the elevation simulator, the high procedure sequence Gi(t) collected by the measured system at different speeds is obtained, and the flatness index IRI' i , i = 1, 2, ….

[0078] By comparing the error value or relative error value of the standard value IRI i and the measured value IRI' i , the calibration of the road flatness measurement index of the measured instrument is realized.

[0079] Referring to Figure 2The embodiment of the present application provides a road flatness in-situ calibration device for performing the road flatness in-situ calibration method of the above embodiment, which comprises a target rotating speed determination module 201, a trigger signal determination module 202, an elevation simulation driving module 203, an elevation data receiving module 204, a standard value obtaining module 205, a standard value obtaining module 206 and a flatness calibration module 207.

[0080] The target rotating speed determination module 201 is used for determining the target rotating speed of the elevation simulator according to the target flatness index range. The trigger signal determination module 202 is used for determining a sampling pulse signal according to the simulation vehicle speed of the laser flatness tester test system to be calibrated. The elevation simulation driving module 203 is used for driving the rotating part of the elevation simulator to rotate in a single rotating direction at the target rotating speed to drive the simulation part of the elevation simulator to simulate the elevation sequence value, and the flatness index corresponding to the elevation sequence value is within the target flatness index range. The elevation data receiving module 204 is used for receiving the longitudinal profile elevation sequence measurement data measured by the elevation simulator based on the sampling pulse signal. The standard value obtaining module 205 is used for obtaining the flatness index standard value according to the longitudinal profile elevation sequence measurement data. The measurement value receiving module 206 is used for receiving the flatness index measurement value obtained by the laser flatness tester test system based on the sampling pulse signal. The flatness calibration module 207 is used for calibrating the laser flatness tester test system according to the flatness index standard value and the flatness index measurement value.

[0081] Optionally, the target rotating speed determination module 201 comprises a rotating speed range determination unit and a target rotating speed determination unit. The rotating speed range determination unit is used for determining the rotating speed range of the elevation simulator according to the target flatness index range. The target rotating speed determination unit is used for determining the target rotating speed according to the rotating speed range of the elevation simulator.

[0082] It should be noted that the road flatness in-situ calibration device provided by the above embodiment is only used for calibration of the laser flatness tester test system, and the division of the above functional modules is used for example, and in actual application, the above functions can be distributed to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the road flatness in-situ calibration device and the road flatness in-situ calibration method provided by the above embodiment belong to the same concept, and the specific implementation process is described in the method embodiment, which will not be repeated here.

[0083] Reference is made to Figures 3-4The embodiment of the present application provides a road flatness in-situ calibration system, which comprises a test platform, a height simulator 4 and a calibration device 5. The test platform (or calibration platform) is used for carrying a laser flatness tester test system 6 to be calibrated. The height simulator 4 is used for simulating a high sequence value and is located below a longitudinal profile sensor of the laser flatness tester test system 6. The calibration device 5 is the aforementioned road flatness in-situ calibration device.

[0084] The test platform has a platform body 31 and a bump generator 32. The platform body 31 is used for carrying the laser flatness tester test system 6 to be calibrated. The bump generator 32 is used for making the laser flatness tester test system 6 placed on the platform body 31 vibrate to simulate road bumps when driving. The embodiment does not limit the specific structure of the bump generator 32, and the laser flatness tester test system can generate bump vibration. The longitudinal profile sensor comprises a laser ranging sensor 61 and an acceleration sensor 62.

[0085] The height simulator 4 is used for simulating a longitudinal profile height curve and can be an eccentric wheel slider mechanism. A rotating part comprises an eccentric wheel of the height simulator, and a simulation part comprises a slider 41 of the height simulator. An upper end surface of the slider 41 is located below the longitudinal profile sensor of the laser flatness tester test system. In other embodiments, the height simulator can comprise a rotating disc convex structure. A rotating part comprises a circular rotating disc of the height simulator, and a simulation part comprises a convexity of the height simulator. When data is collected, an upper end surface of the convexity is located below the longitudinal profile sensor of the laser flatness tester test system.

[0086] In the embodiment, the vertical range of the height simulator is 100 mm, and the linear error is ±0.25%. The output frequency range of the pulse signal generator is 1 Hz-10 MHz, and the pulse signal generator is a programmable output signal source. The up-down vibration range of the bump generator is 50 mm. The bump generator can make a 3t or so carrying vehicle generate preset bump vibration. The bump generator has a vibration curve, which is used for simulating the vibration of the vehicle under actual road conditions.

[0087] In application, the laser flatness tester system to be calibrated is moved to the test platform, the limit blocks are placed, the limit blocks are in front and back directions, the jolt generator at the bottom of the calibration platform is adjusted to be below the front and rear axles of the bearing vehicle, the height simulator position is adjusted so that the laser point of the laser flatness tester system falls on the top surface position, such as the center position, and the sampling pulse signal (distance signal) of the in-situ calibration device for road flatness is connected to the laser flatness tester system. The sampling pulse signal is used as the distance signal excitation source of the laser flatness tester system, and the laser flatness tester system is simulated to collect data at a normal driving speed. The test platform drives the laser flatness tester system to jolt together, simulating the road jolt when driving normally. The height simulator is outside the test platform and does not jolt with it.

[0088] During the test, the jolt generator is started to simulate the up and down and left and right jolt of the laser flatness tester system when driving on the actual road, realizing dynamic testing. The jolt generator has a total of four, one under each wheel.

[0089] The flatness index standard value IRI is calculated by recording the longitudinal profile elevation data of the height simulator in the horizontal direction in the in-situ calibration device for road flatness 标 , and the corresponding measurement value IRI output by the laser flatness tester system 测 . Comparative analysis is performed, the relative error is calculated, and the calibration of the test system is completed.

[0090] The calculation process of the flatness index standard value IRI 标 is described.

[0091] After the in-situ calibration device for road flatness is started, the height simulator is scanned first to confirm the device connection and display prompt information. If there is no connection, the corresponding error information is given. Then the related parameters of the height simulator need to be set, mainly the rotation speed, the purpose is to set the number of longitudinal profile elevation curve protrusions and other information. Next, the number and frequency of the pulse signals need to be set in sections. After the calibration device is set, the laser flatness tester system to be calibrated is prepared, and then data collection can be performed. The elevation signal generated by the height simulator is collected through the pulse signal trigger to obtain the simulated road longitudinal profile elevation curve, and finally the flatness index standard value IRI 标 of the corresponding segment length is calculated.

[0092] An embodiment of the present application provides an electronic device, comprising a memory and a processor. The processor is connected with the memory and is configured to execute the road flatness in-situ calibration method based on instructions stored in the memory. The number of the processor can be one or more, and the processor can be single-core or multi-core. The memory can comprise a non-permanent memory in a computer readable medium, random access memory (RAM) and / or non-volatile memory such as read-only memory (ROM) or flash memory (flash RAM), and the memory comprises at least one memory chip. The memory can be an example of the computer readable medium as follows.

[0093] An embodiment of the present application provides a computer readable storage medium, which stores at least one instruction, at least one program, a code set or an instruction set. The at least one instruction, at least one program, code set or instruction set is loaded and executed by a processor to implement the road flatness in-situ calibration method. The computer readable storage medium comprises permanent and non-permanent, removable and non-removable media, and information storage can be realized by any method or technology. The information can be computer readable instructions, data structures, program modules or other data. Examples of the computer storage medium include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc-read only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible by a computing device.

[0094] An embodiment of the present application provides a computer program product comprising instructions which, when the computer program product is executed on a computer, cause the road flatness in-situ calibration method and each step in various possible implementations to be executed by the computer.

[0095] It can be known from common technical knowledge that the present application can be realized by other embodiments without departing from the spirit or essential characteristics thereof. Therefore, the above disclosed embodiments are only examples and are not the only ones. All changes within the scope of the present application or within the scope equivalent to the present application are included in the present application.

Claims

1. A method for in-situ calibration of a road surface evenness meter, characterized by, The method comprises: determining a target rotating speed of an elevation simulator according to a target range of roughness index; determining a sampling pulse signal according to a simulated vehicle speed of a laser roughness tester to be calibrated; driving a rotating member of the elevation simulator to rotate in a single rotating direction at the target rotating speed to drive a simulation member of the elevation simulator to simulate a high profile value, the high profile value corresponding to a roughness index within the target range of roughness index; receiving longitudinal profile high profile measurement data measured by the elevation simulator based on the sampling pulse signal; obtaining a roughness index standard value according to the longitudinal profile high profile measurement data; receiving a roughness index measurement value obtained by the laser roughness tester to be calibrated based on the sampling pulse signal; calibrating the laser roughness tester according to the roughness index standard value and the roughness index measurement value; wherein the roughness index measurement value is obtained by the laser roughness tester collecting the simulated elevation change of the elevation simulator and distance information based on the pulse signal.

2. The method of claim 1, wherein, The method of determining a target rotating speed of an elevation simulator according to a target range of roughness index comprises: determining a rotating speed range of the elevation simulator according to the target range of roughness index; determining the target rotating speed according to the rotating speed range of the elevation simulator.

3. A device for in-situ calibration of a road surface evenness meter, characterized in that, The device comprises: a target rotating speed determination module configured to determine a target rotating speed of an elevation simulator according to a target range of roughness index; a trigger signal determination module configured to determine a sampling pulse signal according to a simulated vehicle speed of a laser roughness tester to be calibrated; an elevation simulation driving module configured to drive a rotating member of the elevation simulator to rotate in a single rotating direction at the target rotating speed to drive a simulation member of the elevation simulator to simulate a high profile value, the high profile value corresponding to a roughness index within the target range of roughness index; an elevation data receiving module configured to receive longitudinal profile high profile measurement data measured by the elevation simulator based on the sampling pulse signal; a standard value obtaining module configured to obtain a roughness index standard value according to the longitudinal profile high profile measurement data; a measurement value receiving module configured to receive a roughness index measurement value obtained by the laser roughness tester to be calibrated based on the sampling pulse signal; a roughness calibration module configured to calibrate the laser roughness tester according to the roughness index standard value and the roughness index measurement value; wherein the roughness index measurement value is obtained by the laser roughness tester collecting the simulated elevation change of the elevation simulator and distance information based on the pulse signal.

4. The apparatus of claim 3, wherein, The target rotating speed determination module comprises: a rotating speed range determination unit configured to determine a rotating speed range of the elevation simulator according to the target range of roughness index; a target rotating speed determination unit configured to determine the target rotating speed according to the rotating speed range of the elevation simulator.

5. A system for in-situ calibration of a road surface levelness meter, characterized by The system comprises: an inspection platform configured to carry a laser roughness tester to be calibrated; an elevation simulator configured to simulate a high profile value, located below a longitudinal profile sensor of the laser roughness tester; and an elevation simulation driving module configured to drive a rotating member of the elevation simulator to rotate in a single rotating direction at the target rotating speed to drive a simulation member of the elevation simulator to simulate a high profile value, the high profile value corresponding to a roughness index within the target range of roughness index. The calibration device is a calibration device for the road flatness detector in any one of claims 3-4.

6. The system of claim 5, wherein, The test platform has a platform body and a bump generator. The bump generator is used to bump the laser flatness detector test system placed on the platform body to simulate road bumps when driving. The longitudinal profile sensor comprises a laser distance sensor and an acceleration sensor.

7. The system of claim 5, wherein, The elevation simulator is an eccentric slider mechanism, the rotating member comprises an eccentric wheel of the elevation simulator, and the simulation member comprises a slider of the elevation simulator, and the upper end surface of the slider is located below the longitudinal profile sensor of the laser flatness detector test system.

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