CN102708690A - Method for measuring road noise on basis of road monitoring video - Google Patents
Method for measuring road noise on basis of road monitoring video Download PDFInfo
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- CN102708690A CN102708690A CN2012102042654A CN201210204265A CN102708690A CN 102708690 A CN102708690 A CN 102708690A CN 2012102042654 A CN2012102042654 A CN 2012102042654A CN 201210204265 A CN201210204265 A CN 201210204265A CN 102708690 A CN102708690 A CN 102708690A
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Abstract
The invention discloses a method for measuring road noise on the basis of road monitoring video. According to the method, relevant information such as flow and types of vehicles in the road monitoring video is extracted by applying a video image processing method, and is applied to a road noise measurement model for showing noise condition of city roads in real time, so that an immediate, reliable and effective basis is provided for environment noise enforcement, evaluation and treatment.
Description
Technical field
The invention belongs to the video image technical field, be specifically related to a kind of method based on road monitoring video measuring road noise.
Background technology
Along with the progress and development of society, more and more come into one's own as an importance-environmental quality of quality of life.At present China accounts for more than 50% of total environment quality complaint because of neighbourhood noise to the complaint of environmental administration.The loss that only brings because of traffic noise is annual just up to more than 200 hundred million yuan, so its monitoring is just seemed particularly important.Yet the manual monitoring method of monitoring some frequencys and period in a year is all continued to use in the noise monitoring of current China most city.This monitoring mode, loaded down with trivial details and simple production consumption monitoring technology personnel's great effort, thereby have no time to carry out deeper analysis and evaluation.
Summary of the invention
The present invention is directed to the deficiency of existing monitoring technology, gather relevant data, the method for coming the measurement road noise to these data that collect through a kind of noise measurement algorithm then through the supervisory system of existing urban road.The present invention realizes through following technical scheme:
A kind of method based on road monitoring video measuring road noise may further comprise the steps:
Step 1: adopt the detection line method to come vehicle flowrate is detected:
1-1 at first confirms the position of detection line, and detection line must be perpendicular to road;
1-2 when vehicle ' when the detection line, gray scale corresponding on the detection line changes, poor with the gray-scale value of the background of present frame and correspondence position, whether the foreground pixel point number on the detection line that obtains is judged has vehicle to pass through, to calculate vehicle flowrate then;
Step 2: adopt the toroid winding method to confirm the speed of a motor vehicle and vehicle:
The runway of 2-1 under camera is provided with two rectangular first coils and second coil, and second detection line is set, and through the detection of second detection line to real-time each two field picture of monitor video, obtains the time that vehicle gets into coil;
2-2 calculates the speed of a motor vehicle through formula (1)
; Formula (2)
calculates the vehicle commander; Size according to the vehicle commander; Vehicle is divided into greatly; In; Little three kinds of vehicles; Wherein
is that vehicle gets into first coil to the time interval that gets into second coil;
gets into second coil to the time interval of leaving second coil;
is the width of first coil and second coil, and
is the spacing of first coil and second coil;
Step 3: with the noise equivalent of large car and in-between car is the noise of compact car, wherein
In the formula; What
represented is the noise equivalent relation between large car and the compact car, and what
represented is the noise equivalent relation between in-between car and the compact car;
With whole wagon flow equivalence is the wagon flow of compact car, and the vehicle flowrate that waits of all vehicles is:
In the formula
;
;
is respectively: the large car that records in step 1 and the step 2; In-between car; The wagon flow of compact car,
is the equivalent wagon flow of rolling stock;
The equivalent speed of a motor vehicle of all vehicles is:
In the formula
;
;
is respectively: the large car that records in step 1 and the step 2; In-between car, the speed of a motor vehicle of compact car;
Step 4: the equivalent speed of a motor vehicle that waits vehicle flowrate and all vehicles according to all vehicles obtains road noise:
In the formula,
is the equivalent continuous sound level of vehicle;
is the reference energy average radiation sound level of compact car;
is the equivalent wagon flow of passing through rolling stock in the fixed time;
is the equivalent speed of a motor vehicle of all vehicles;
is the duration of said equivalent continuous sound level;
is the reference position distance of measuring vehicle radiation sound level;
be from the track center line to the vertical range of selected measurement point;
is the ground coverage coefficient; Depend on the field ground condition,
;
is the damping capacity that veils such as sound barrier, building, the woods cause.
Further, said detection line is arranged in the center of road to be detected, and the length of said detection line and the scope of layout are confirmed according to the wagon flow and the track thereof of reality.
The inventive method compared with prior art, the improvement that obtains shows:
1, based on the traffic flow detecting method of video, install simply, less investment, upgrading is convenient;
2, through analyzing the road noise situations from the road monitoring video of gathering, existing road monitoring camera capable of using has saved the walkaway instrument of traditional noise monitoring, has practiced thrift great amount of cost, has improved efficient;
3, utilize the mode of real-time monitoring video, dirigibility is strong, and detection efficiency is high, has guaranteed the reliability of data simultaneously.
Raising along with quality of residents'life; And the requirement of environmental quality grown with each passing day; The Monitoring Data accurately and timely that the present invention obtains can be that neighbourhood noise law enforcement, evaluation and improvement provide in time, reliable, effective foundation, helps the construction of harmonious society.The inventive method will possess application prospects.
Description of drawings
Fig. 1 is based on the structural drawing of the device of road monitoring video measuring road noise;
Fig. 2 is that the Crossed Circle coil is measured the single unit vehicle schematic diagram;
Fig. 3 is the subtended angle synoptic diagram that two ends, limit for length highway section are arranged that the observer sees.
Embodiment
1-3 is described further the present invention below in conjunction with accompanying drawing.
A kind of method of the present invention based on road monitoring video measuring road noise.The device that this method adopts based on road monitoring video measuring road noise; Comprise intelligent terminal module, delivery module and central control module; Be made up of equipment such as terminal intelligent watch-dog, signal repeater, central computer, LCD displays, this system can have the function of real-time reflection road noise.
This method realizes through following mode: at first; Gather the real-time monitor video of road through the terminal intelligent watch-dog; Be transferred to data center through transport module then,, obtain related datas such as vehicle flowrate and vehicle through processing to video image; Apply to these data in the noise measurement model at last, obtain real-time urban road noise situations.
It specifically comprises the steps:
Step 1: gather information of vehicle flowrate
Detection to vehicle flowrate; Adopt the method for detection line, at first confirm the position of good detection line, detection line must be perpendicular to road; Preferably be placed on the center of road to be detected, the length that detection line is concrete and the scope of placement will be confirmed according to the wagon flow and the track thereof of reality.When vehicle ' process detection line; Gray scale corresponding on the detection line will inevitably change; Gray-scale value with the background of present frame and correspondence position is poor, and whether the foreground pixel point number on the detection line that obtains is judged has vehicle to pass through, to calculate vehicle flowrate then.
From the collected data out of the data of each lane, and then through statistics, obtain a first
lane foreground pixel data on the number of points
, at the same time get the first
Drive Data approached
data the number of pixels in the foreground
; and final
foreground pixel data point number
.Through following formula:
Judge prior preset threshold
and
relation with
; As
and
and
; Think that this track has vehicle to occur in this frame this moment;
add 1 and
equal zero; Otherwise thinking does not have vehicle to occur in this track of this two field picture, and
adds 1.
Wherein
representes the number of the foreground pixel point on
track; The number of foreground pixel point in the individual data in the left side
on
expression
track, the foreground pixel point number on
expression
track in
the individual data of the right.The frame number of vehicle appears in
expression
track continuously, and the frame number of vehicle does not appear in
expression
track continuously.
Step 2: gather the speed of a motor vehicle, vehicle information
Adopt toroidal theory, the Crossed Circle coil is measured the single unit vehicle principle and is measured the speed of a motor vehicle and vehicle commander.Runway under camera is provided with two rectangular coils; It is the same to calculate principle with vehicle flowrate; Detection line is set equally, and through the detection of detection line to each two field picture of monitoring real-time video, the information calculations such as correlation time that obtain vehicle entering coil go out the speed of a motor vehicle and vehicle.Shown in Fig. 3,
and
is the subtended angle that two ends, limit for length highway section are arranged (rad) that camera is seen;
As shown in Figure 2; Measuring vehicle gets into coil 1 to the time interval
that gets into coil 2; Get into coil 2 to the time interval of leaving coil 2
; Width in known coil is
; Coil-span is under the situation of
, then:
Size according to top vehicle commander is divided into Three Estate large car, in-between car, compact car with vehicle.
Step 3: vehicle noise, the calculating of speed of a motor vehicle equivalence:
Vehicle in the monitor video is along with the difference of the vehicle and the speed of a motor vehicle, and their noise is also inequality, according to the data of statistics, adopts the mode of equivalence to come the data of a certain type of vehicle of various vehicle equivalence,
Type of vehicle | Reference noise/dB (A) | Reference noise standard deviation/dB (A) |
Large-scale | 81.2 | 3.1 |
Medium-sized | 76.6 | 2.1 |
Small-sized | 71.6 | 1.9 |
The reference noise of table 1 vehicle.
Reference noise level and standard deviation thereof through a large amount of measured data statistics are obtained large car, in-between car, three types of cars of compact car are as shown in table 1.According to the equivalent relation on the acoustics, the equivalent relation that can obtain between large car and compact car, in-between car and the compact car reference noise is:
In the formula; What
represented is the noise equivalent relation between large car and the compact car, and what
represented is the noise equivalent relation between in-between car and the compact car.Through top equivalent relation, can be the wagon flow of compact car with whole wagon flow equivalence, the vehicle flowrate of the equivalence of all vehicles is at this moment:
In the formula
;
;
is respectively: large car; In-between car, the wagon flow of compact car.
is the equivalent wagon flow of rolling stock.
Same, the equivalent speed of a motor vehicle computing formula that we can obtain all vehicles is:
In the formula
;
;
is respectively: large car; In-between car, the speed of a motor vehicle of compact car.
is the equivalent speed of a motor vehicle of rolling stock.
Step 4: according to the top vehicle that we obtain, data such as vehicle flowrate, be updated to these data in the noise measurement model (as shown in the formula), obtain road noise.
In the formula,
is the equivalent continuous sound level (unit: dB (A)) of vehicle;
is the reference energy average radiation sound level (unit: dB (A)) of compact car, and generally being set at the 3rd type of car here is compact car;
is the vehicle flowrate of the equivalence passed through in the fixed time;
is the speed (unit: km/h) of the equivalence of vehicle;
is for calculating the duration (unit: h) of equivalent sound level;
is the reference position distance (unit: m) of measuring vehicle radiation sound level;
be from the track center line to the vertical range (unit: m) of check point;
is the ground coverage coefficient; Depend on surface condition,
; The damping capacity (unit: dB (A)) of △ S for causing owing to veils such as sound barrier, building, the woods.
Method based on road monitoring video measuring road noise of the present invention adopts noise level indicator to compare with existing noise measurement technology, and cost is lower, safeguards simpler.The method that the present invention handles through the utilization video image; Extract the flow of vehicle in the road monitoring video; The speed of a motor vehicle, relevant informations such as vehicle, these information operatings in a kind of road noise detection model; The real-time noise situations that represents urban road can be that neighbourhood noise law enforcement, evaluation and improvement provide in time, reliable, effective foundation.
Shown in the above and the figure only is preferred implementation of the present invention.Should be pointed out that for the person of ordinary skill of the art under the prerequisite that does not break away from the principle of the invention, can also make some modification and improvement, these also should be regarded as belonging to protection scope of the present invention.
Claims (2)
1. method based on road monitoring video measuring road noise may further comprise the steps:
Step 1: adopt the detection line method to come vehicle flowrate is detected:
1-1 at first confirms the position of detection line, and detection line must be perpendicular to road;
1-2 when vehicle ' when the detection line, gray scale corresponding on the detection line changes, poor with the gray-scale value of the background of present frame and correspondence position, whether the foreground pixel point number on the detection line that obtains is judged has vehicle to pass through, to calculate vehicle flowrate then;
Step 2: adopt the toroid winding method to confirm the speed of a motor vehicle and vehicle:
The runway of 2-1 under camera is provided with two rectangular first coils and second coil, and second detection line is set, and through the detection of second detection line to real-time each two field picture of monitor video, obtains the time that vehicle gets into coil;
2-2 calculates the speed of a motor vehicle through formula (1)
; Formula (2)
calculates the vehicle commander; Size according to the vehicle commander; Vehicle is divided into greatly; In; Little three kinds of vehicles; Wherein
is that vehicle gets into first coil to the time interval that gets into second coil;
gets into second coil to the time interval of leaving second coil;
is the width of first coil and second coil, and
is the spacing of first coil and second coil;
Step 3: with the noise equivalent of large car and in-between car is the noise of compact car, wherein
In the formula; What
represented is the noise equivalent relation between large car and the compact car, and what
represented is the noise equivalent relation between in-between car and the compact car;
With whole wagon flow equivalence is the wagon flow of compact car, and the vehicle flowrate that waits of all vehicles is:
In the formula
;
;
is respectively: the large car that records in step 1 and the step 2; In-between car; The wagon flow of compact car,
is the equivalent wagon flow of rolling stock;
The equivalent speed of a motor vehicle of all vehicles is:
In the formula
;
;
is respectively: the large car that records in step 1 and the step 2; In-between car, the speed of a motor vehicle of compact car;
Step 4: the equivalent speed of a motor vehicle that waits vehicle flowrate and all vehicles according to all vehicles obtains road noise:
In the formula,
is the equivalent continuous sound level of vehicle;
is the reference energy average radiation sound level of compact car;
is the equivalent wagon flow of passing through rolling stock in the fixed time;
is the equivalent speed of a motor vehicle of all vehicles;
is the duration of said equivalent continuous sound level;
is the reference position distance of measuring vehicle radiation sound level;
be from the track center line to the vertical range of selected measurement point;
is the ground coverage coefficient; Depend on the field ground condition,
;
is the damping capacity that sound barrier, building, woods veil cause.
2. a kind of method as claimed in claim 1 based on road monitoring Video Detection road noise, it is characterized in that: said detection line is arranged in the center of road to be detected, and the length of said detection line and the scope of layout are confirmed according to the wagon flow and the track thereof of reality.
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Cited By (6)
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CN103925989A (en) * | 2014-03-25 | 2014-07-16 | 天津大学 | Traffic noise automatic identification method based on ACF and IACF |
CN104021669A (en) * | 2013-02-28 | 2014-09-03 | 北京市劳动保护科学研究所 | Fast construction method of localization road traffic noise source intensity model |
WO2016037346A1 (en) * | 2014-09-12 | 2016-03-17 | Microsoft Technology Licensing, Llc | Measuring and diagnosing noise in urban environment |
CN109377770A (en) * | 2018-09-05 | 2019-02-22 | 华为技术有限公司 | The method and apparatus of statistical vehicle flowrate calculate equipment and storage medium |
CN109785621A (en) * | 2019-02-02 | 2019-05-21 | 重庆港力环保股份有限公司 | A kind of road traffic noise intelligent optimized control method relying on big data |
CN110164134A (en) * | 2018-02-12 | 2019-08-23 | 华为技术有限公司 | The method and apparatus of information processing |
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Cited By (11)
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---|---|---|---|---|
CN104021669A (en) * | 2013-02-28 | 2014-09-03 | 北京市劳动保护科学研究所 | Fast construction method of localization road traffic noise source intensity model |
CN103925989A (en) * | 2014-03-25 | 2014-07-16 | 天津大学 | Traffic noise automatic identification method based on ACF and IACF |
WO2016037346A1 (en) * | 2014-09-12 | 2016-03-17 | Microsoft Technology Licensing, Llc | Measuring and diagnosing noise in urban environment |
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CN110164134A (en) * | 2018-02-12 | 2019-08-23 | 华为技术有限公司 | The method and apparatus of information processing |
CN109377770A (en) * | 2018-09-05 | 2019-02-22 | 华为技术有限公司 | The method and apparatus of statistical vehicle flowrate calculate equipment and storage medium |
WO2020048156A1 (en) * | 2018-09-05 | 2020-03-12 | 华为技术有限公司 | Method and apparatus for counting vehicle flow, computing device, and computer readable storage medium |
CN109377770B (en) * | 2018-09-05 | 2021-06-22 | 华为技术有限公司 | Method and device for counting traffic flow, computing equipment and storage medium |
CN109785621A (en) * | 2019-02-02 | 2019-05-21 | 重庆港力环保股份有限公司 | A kind of road traffic noise intelligent optimized control method relying on big data |
CN109785621B (en) * | 2019-02-02 | 2021-08-27 | 重庆港力环保股份有限公司 | Road traffic noise intelligent optimization control method based on big data |
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Application publication date: 20121003 |