CN103290768A - Flatness Measuring Instrument and Measuring Method - Google Patents
Flatness Measuring Instrument and Measuring Method Download PDFInfo
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- CN103290768A CN103290768A CN2013102583679A CN201310258367A CN103290768A CN 103290768 A CN103290768 A CN 103290768A CN 2013102583679 A CN2013102583679 A CN 2013102583679A CN 201310258367 A CN201310258367 A CN 201310258367A CN 103290768 A CN103290768 A CN 103290768A
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- 238000012545 processing Methods 0.000 claims abstract description 6
- 238000004439 roughness measurement Methods 0.000 claims description 14
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Abstract
The invention discloses a flatness measuring instrument and a measuring method, which consists of an upper computer and a lower computer, wherein the upper computer and the lower computer realize communication by utilizing a CAN bus, the lower computer is connected with a distance measuring sensor and an acceleration sensor, and the lower computer samples the change of the road surface elevation detected by the distance measuring sensor and the acceleration data detected by the acceleration sensor, records the interval time of two sampling and performs filtering processing on the acceleration data; the upper computer is connected with a rotary encoder used for detecting distance information, the upper computer detects a sampling distance signal, generates a fixed-distance sampling interrupt signal and a time interrupt signal, and calculates and stores IRI data. The laser flatness detection system is applied to the detection of the flatness of the asphalt pavement of the highway, and has the advantages of high detection speed, accurate calculation, automation of data acquisition and result analysis and the like.
Description
Technical field
The present invention relates to automatic detection range technology, refer in particular to a kind of roughness measurement instrument and measuring method.
Background technology
The express highway pavement planeness may be defined as road surface and lures that the elevation of exercising vehicle appearance vibration changes into, and it is an important indicator estimating road surface functional performance, maintenance quality.The variation of roughness index can reflect that the comprehensive quality shape on road surface wishes that most of pavement diseases nearly all can influence planeness, so the detection of planeness is an important link of pavement construction and maintenance.Along with developing rapidly of high-grade highway, it is more and more higher that the road pavement planeness requires, and surface evenness qualified blunt by the level that is related to services such as comfortableness that highway provides for the user, safety, agility is related to the application life of road itself.
At present, 3m ruler method is used in the test of surface evenness always, and the 3m ruler is traditional detection method of road-surface evenness.Its operating principle is: the 3m ruler is put down gently on the road surface, drawing instrument is moved to the one end, push drawing instrument to the other end with hand, driving the picture pin by the measuring wheel under the drawing instrument moves up and down, the cylinder wheel rotates in the drive of defeated wheels simultaneously, and drive the synthetic picture pin that just makes that paper tape moves two motions and drawn the geometric sense on road surface at paper tape, try to achieve surface evenness numerical value then thus.This detection method is applicable to the planeness of each laminar surface of road surface of measuring compaction moulding, with construction quality and the service property (quality) on evaluation road surface; But because it is the manual inspection method of non-automation, precision is not high, detection efficiency is low, can not satisfy the requirement that the on-the-spot planeness of highway in China detects.
The another kind of instrument of measuring planeness has continous way smoothness measuring equipment (claiming " eight take turns instrument " again).The continous way smoothness measuring equipment is when measuring, spurring this instrument by people or car advances, because Uneven road causes that measuring steamboat swings up and down, and the measuring staff that drives displacement transducer slides up and down in the aperture groove of sensor, then according to the positive and negative of the current potential of sensor output and big or smallly determine surface evenness.This equipment flexibility is bigger, is applicable to the planeness of measuring road surfaces; But the lower (detection speed≤12km/h), be not suitable on existing more hole groove, the serious road surface of destruction and measure of its testing efficiency.
Summary of the invention
In view of this, the present invention is directed to the disappearance of prior art existence, its main purpose provides a kind of roughness measurement instrument, have detection speed fast, calculate accurately, data acquisition and interpretation of result automation.
For achieving the above object, the present invention adopts following technical scheme:
A kind of roughness measurement instrument, formed by host computer and slave computer two parts, this host computer utilizes the CAN bus to realize communicating by letter with slave computer, this slave computer is connected with distance measuring sensor and acceleration transducer, and the variation of the road surface elevation that distance measuring sensor is detected by slave computer and the accelerometer data samples that acceleration transducer detects, record double sampling blanking time also handle the filtering of acceleration information; This host computer is connected with the rotary encoder for detection of range information, by upper computer detection sampled distance signal, produces spacing sampling interrupt signal, time interrupt signal, and calculates and storage IRI data.
Preferably, the output of described distance measuring sensor and acceleration transducer is circumscribed with the RC filter circuit.
Preferably, in the described RC filter circuit, resistance R is 10 k Ω, and capacitor C is 0.2uF.
Preferably, described distance measuring sensor is selected vehicle-mounted laser range sensor for use.
Preferably, 8254 process chip are installed in the described host computer.
Preferably, described slave computer is built-in with high-precision a/d converter.
A kind of roughness measurement method comprises the steps,
The first step: the variation of the road surface elevation that detects by distance measuring sensor and the acceleration information that acceleration transducer detects;
Second step: the data sampling that distance measuring sensor and acceleration transducer is detected by slave computer, record double sampling blanking time, to acceleration information progress filtering processing and zero-mean processing;
The 3rd step: detect range information with rotary encoder;
The 4th step: by upper computer detection sampled distance signal, produce spacing sampling interrupt signal, the generation time interrupt signal, and calculate and storage IRI data.
Preferably, the filtering of described acceleration information is handled and is adopted the second order Butterworth filter to carry out LPF.
Preferably, need further carry out equalization after the filtering of described acceleration information is handled handles.
The present invention compared with prior art has tangible advantage and beneficial effect, particularly, as shown from the above technical solution, the first, set up the surface evenness data collecting system of being made up of high-precision laser sensor, acceleration transducer, host computer, slave computer etc., spacing is gathered road surface altitude data, car body vertical vibration acceleration information and sampling time in real time.
The second, design is the second order Butterworth LPF of 20Hz by frequency, and effectively the filtering high-frequency interferencing signal adopts the zero-mean method simultaneously, eliminates the datum offset of acceleration signal.
Three, adopt direct integral, can utilize through pretreated acceleration signal and calculate the car body displacement.
In a word, laser evenness detection system of the present invention is applied to the detection of asphalt pavement of highway planeness, its have detection speed fast, calculate accurately, advantages such as data acquisition and interpretation of result automation.
For more clearly setting forth architectural feature of the present invention and effect, the present invention is described in detail below in conjunction with accompanying drawing and specific embodiment.
Description of drawings
Fig. 1 is the system architecture diagram of the present invention's embodiment;
Fig. 2 is distribution comparison diagram before and after the acceleration information zero-meanization among the present invention's the embodiment.
Fig. 3 is distribution comparison diagram before and after the acceleration information filtering among the present invention's the embodiment.
The accompanying drawing identifier declaration:
10, host computer 11, rotary encoder
20, slave computer 21, laser range sensor
22, acceleration transducer
The specific embodiment
Please refer to shown in Figure 1ly, it has demonstrated the concrete structure of the present invention's preferred embodiment, and the surface evenness block diagram of system is made up of host computer 11 and slave computer 20 two parts, and this host computer 11 utilizes the CAN bus to realize communicating by letter with slave computer 20.
Wherein host computer 11 is connected with rotary encoder 11, and for detection of range information, and host computer 11 is built-in with 8254 chips and crystal oscillator.This host computer 11 is responsible for: 1. detect the sampled distance signal; 2. utilize chip 8254 to produce spacing sampling interrupt signal; 3. utilize 8254 chips and crystal oscillator generation time interrupt signal (providing the time for calculating the acceleration quadratic integral); 4. calculate and store the IRI data.
This slave computer 20 is connected with laser range sensor 21 and acceleration transducer 22, and slave computer 20 is built-in with high-precision a/d converter, and this slave computer 20 is responsible for: 1. laser, acceleration transducer 22 data samplings; 2. record the time in sampling interval 2 times; 3. the filtering of acceleration information is handled.For guarantee this system detect data accurately, reliable, in the design with the external RC filter circuit of the output of sensor.Find that through experiment as R=10 k Ω, during C=0.2 uF, higher hamonic wave is eliminated substantially, satisfies linear requirement.
Surface evenness of the present invention detects principle: the vehicular Bump Integrator is when measuring, test carriage is exercised on the road surface with certain speed, the uneven exciting that causes automobile on road surface, can measure rear axle with the monodisplacement accumulated value VBI(cm/km between the compartment by mechanical pick-up device), calculate the relative displacement aggregate-value of the interior spring carried mass of every kilometer operating range and nonspring carried mass, be international roughness index (IRI).VBI is more big, illustrates that surface evenness is more poor.This measuring apparatus surface evenness speed is fast, easy and simple to handle, construction quality and the comfort on available its testing result evaluation road surface.
Therefore select for use vehicle-mounted laser range sensor 21 to detect the variation of road surface elevation in the surface evenness design of data acquisition system, and obtain the inspection vehicle displacement by vehicle-mounted acceleration transducer 22 data computation.
There are various noises inevitably in inspection vehicle vertical vibration acceleration sampled data, desirable inspection vehicle vertical vibration acceleration sampled signal has zero mean characteristic simultaneously, therefore before the acceleration information quadratic integral is asked for displacement, need with software acceleration information to be carried out filtering and zero-mean processing.
During acceleration information filtering, according to the statistical parameter of automobile test, the low frequency of the prostrate vibration of automobile is 0.5 Hz.The dither of automobile is the vertical vibration of nonspring carried mass (vehicle bridge part), is generally 7～12 Hz, gets high frequency fH=20 Hz of vehicle response.The response frequency scope of automobile is like this: f=0.5～20Hz, so the present invention adopts the second order Butterworth filter to carry out LPF in acceleration information filtering, trying to achieve cut-off frequency is 20 Hz.Second order Butterworth LPF difference equation expression formula is
In the formula: y (n) is the acceleration information filter value; X (n) acceleration measurement; A (n), b (r) are the coefficient of wave filter.
Fig. 2 is inspection vehicle vertical vibration acceleration sampling experimental result, and the sampling period of inspection vehicle vertical vibration acceleration is 18 ms.As seen from Figure 2, the inspection vehicle vertical vibration cycle is about 1 S, so inspection vehicle vertical vibration acceleration sampled data can reflect vehicle vertical vibration situation.The while unfiltered acceleration sample distribution of comparison diagram 2 (a) and Fig. 2 (b) filtering post-acceleration sample distribution, some high-frequency interferencing signals are substantially by filtering.
Fig. 3 (a) distributes before the acceleration information zero-meanization, and therefore inspection vehicle vertical vibration acceleration need carry out equalization and handle not about null value.Inspection vehicle vertical vibration acceleration information is carried out equalization handle, establish x (i) and be the sampled value of inspection vehicle vertical vibration acceleration, i=1 ~ n,
Then acceleration information zero-mean result is
Handle according to the equalization of inspection vehicle vertical vibration acceleration, the result shown in Fig. 3 (b), the fluctuation of acceleration value under above freezing.
In sum, design focal point of the present invention is:
The first, set up the surface evenness data collecting system of being made up of high-precision laser sensor, acceleration transducer 22, host computer 11, slave computer 20 etc., spacing is gathered road surface altitude data, car body vertical vibration acceleration information and sampling time in real time.
The second, design is the second order Butterworth LPF of 20Hz by frequency, and effectively the filtering high-frequency interferencing signal adopts the zero-mean method simultaneously, eliminates the datum offset of acceleration signal.
Three, adopt direct integral, can utilize through pretreated acceleration signal and calculate the car body displacement.
In a word, laser evenness detection system of the present invention is applied to the detection of asphalt pavement of highway planeness, its have detection speed fast, calculate accurately, advantages such as data acquisition and interpretation of result automation.
The above, it only is preferred embodiment of the present invention, be not that technical scope of the present invention is imposed any restrictions, so every foundation technical spirit of the present invention all still belongs in the scope of technical solution of the present invention any trickle modification, equivalent variations and modification that above embodiment does.
Claims (9)
1. roughness measurement instrument, it is characterized in that: formed by host computer and slave computer two parts, this host computer utilizes the CAN bus to realize communicating by letter with slave computer, this slave computer is connected with distance measuring sensor and acceleration transducer, and the variation of the road surface elevation that distance measuring sensor is detected by slave computer and the accelerometer data samples that acceleration transducer detects, record double sampling blanking time also handle the filtering of acceleration information; This host computer is connected with the rotary encoder for detection of range information, by upper computer detection sampled distance signal, produces spacing sampling interrupt signal, time interrupt signal, and calculates and storage IRI data.
2. roughness measurement instrument according to claim 1, it is characterized in that: the output of described distance measuring sensor and acceleration transducer is circumscribed with the RC filter circuit.
3. roughness measurement instrument according to claim 2, it is characterized in that: in the described RC filter circuit, resistance R is 10 k Ω, and capacitor C is 0.2uF.
4. roughness measurement instrument according to claim 1, it is characterized in that: described distance measuring sensor is selected vehicle-mounted laser range sensor for use.
5. roughness measurement instrument according to claim 1 is characterized in that: 8254 process chip are installed in the described host computer.
6. roughness measurement instrument according to claim 1, it is characterized in that: described slave computer is built-in with high-precision a/d converter.
7. roughness measurement method is characterized in that: comprises the steps,
The first step: the variation of the road surface elevation that detects by distance measuring sensor and the acceleration information that acceleration transducer detects;
Second step: the data sampling that distance measuring sensor and acceleration transducer is detected by slave computer, record double sampling blanking time, to acceleration information progress filtering processing and zero-mean processing;
The 3rd step: detect range information with rotary encoder;
The 4th step: by upper computer detection sampled distance signal, produce spacing sampling interrupt signal, the generation time interrupt signal, and calculate and storage IRI data.
8. roughness measurement method according to claim 7 is characterized in that: the filtering of described acceleration information is handled and is adopted the second order Butterworth filter to carry out LPF.
9. roughness measurement method according to claim 8 is characterized in that: need further carry out equalization after the filtering of described acceleration information is handled and handle.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103669183A (en) * | 2013-12-02 | 2014-03-26 | 黑龙江科技大学 | Time sequence model of road surface evenness |
| CN103758016A (en) * | 2014-01-02 | 2014-04-30 | 华南理工大学 | Three-dimensional pavement structure detection device and detection method thereof |
| CN104048638A (en) * | 2014-06-29 | 2014-09-17 | 青岛大学 | Pushing-type plane flatness measuring and controlling device |
| CN104228872A (en) * | 2014-09-28 | 2014-12-24 | 江苏润仪仪表有限公司 | Portable track irregularity online monitoring device and method |
| CN104790283A (en) * | 2015-04-10 | 2015-07-22 | 同济大学 | Quick road surface roughness detection system based on vehicle-mounted accelerometer |
| CN105066959A (en) * | 2015-07-24 | 2015-11-18 | 江苏苏科畅联科技有限公司 | Pavement vertical section elevation information acquisition method |
| CN105133472A (en) * | 2015-06-11 | 2015-12-09 | 广西大学 | Road surface roughness measurement method and inertial detector |
| CN105807084A (en) * | 2015-12-22 | 2016-07-27 | 成都安科泰丰科技有限公司 | Track geometric parameter detection synchronization and calculation method |
| CN107059577A (en) * | 2016-12-01 | 2017-08-18 | 毛庆洲 | Road road conditions fast investigation device |
| CN109468928A (en) * | 2018-12-25 | 2019-03-15 | 河南城建学院 | Intelligent horizontal detector based on CPLD |
| CN109695196A (en) * | 2018-12-19 | 2019-04-30 | 安徽省骏腾工程试验检测有限公司 | A kind of road surface laser profilometer |
| CN113532362A (en) * | 2021-07-15 | 2021-10-22 | 特路（北京）科技有限公司 | Intelligent automatic mapping and analyzing system for road safety adaptability |
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Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103669183B (en) * | 2013-12-02 | 2016-05-25 | 黑龙江科技大学 | The time series models of surface evenness |
| CN103669183A (en) * | 2013-12-02 | 2014-03-26 | 黑龙江科技大学 | Time sequence model of road surface evenness |
| CN103758016A (en) * | 2014-01-02 | 2014-04-30 | 华南理工大学 | Three-dimensional pavement structure detection device and detection method thereof |
| CN103758016B (en) * | 2014-01-02 | 2016-06-22 | 华南理工大学 | A kind of three-dimensional pavement structure detecting device and detection method thereof |
| CN104048638A (en) * | 2014-06-29 | 2014-09-17 | 青岛大学 | Pushing-type plane flatness measuring and controlling device |
| CN104228872A (en) * | 2014-09-28 | 2014-12-24 | 江苏润仪仪表有限公司 | Portable track irregularity online monitoring device and method |
| CN104790283A (en) * | 2015-04-10 | 2015-07-22 | 同济大学 | Quick road surface roughness detection system based on vehicle-mounted accelerometer |
| CN105133472A (en) * | 2015-06-11 | 2015-12-09 | 广西大学 | Road surface roughness measurement method and inertial detector |
| CN105133472B (en) * | 2015-06-11 | 2017-04-12 | 广西大学 | Road surface roughness measurement method and inertial detector |
| CN105066959A (en) * | 2015-07-24 | 2015-11-18 | 江苏苏科畅联科技有限公司 | Pavement vertical section elevation information acquisition method |
| CN105807084A (en) * | 2015-12-22 | 2016-07-27 | 成都安科泰丰科技有限公司 | Track geometric parameter detection synchronization and calculation method |
| CN107059577A (en) * | 2016-12-01 | 2017-08-18 | 毛庆洲 | Road road conditions fast investigation device |
| CN109695196A (en) * | 2018-12-19 | 2019-04-30 | 安徽省骏腾工程试验检测有限公司 | A kind of road surface laser profilometer |
| CN109468928A (en) * | 2018-12-25 | 2019-03-15 | 河南城建学院 | Intelligent horizontal detector based on CPLD |
| CN113532362A (en) * | 2021-07-15 | 2021-10-22 | 特路（北京）科技有限公司 | Intelligent automatic mapping and analyzing system for road safety adaptability |
| CN113532362B (en) * | 2021-07-15 | 2023-09-01 | 特路（北京）科技有限公司 | Intelligent automatic mapping analysis system for road safety adaptability |
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Application publication date: 20130911 |