CN202677615U - Device for measuring road noise based on road monitoring video - Google Patents

Device for measuring road noise based on road monitoring video Download PDF

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Publication number
CN202677615U
CN202677615U CN 201220290786 CN201220290786U CN202677615U CN 202677615 U CN202677615 U CN 202677615U CN 201220290786 CN201220290786 CN 201220290786 CN 201220290786 U CN201220290786 U CN 201220290786U CN 202677615 U CN202677615 U CN 202677615U
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module
road
noise
vehicle
monitoring video
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章东平
彭怀亮
陈非予
沈晔
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China Jiliang University
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China Jiliang University
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Abstract

The utility model discloses a device for measuring road noise based on road monitoring videos. The device comprises an intelligent terminal module, a transmission module and a central control module. The intelligent terminal module is connected with the transmission module. The transmission module is connected with the central control module. The intelligent terminal module includes an intelligent monitoring camera, a signal processing module, a communication module and a display screen. The transmission module comprises a signal repeater. The central control module comprises a central computer, a noise alarming system and an LCD display screen.

Description

A kind of device based on road monitoring video measuring road noise
Technical field
The utility model belongs to the video image technical field, is specifically related to a kind of device 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 complain 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 cities.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.
The utility model content
The utility model gathers relevant data for the deficiency of existing monitoring technology by the supervisory system that has urban road now, then these data communication devices that collect is crossed a kind of noise measurement algorithm and comes the measurement road noise.The utility model is to realize by following technical scheme:
A kind of device based on road monitoring video measuring road noise comprises: intelligent terminal module, delivery module and central control module, and described intelligent terminal module is connected with delivery module, and delivery module is connected with central control module.
Further, described intelligent terminal module comprises intelligent monitoring pick-up head, signal processing module, communication module and display screen.
Further, described delivery module comprises signal repeater.
Further, described central control module comprises central computer, noise alarm system and LCD display.
Device of the present utility model compared with prior art, the improvement that obtains shows:
1, based on the traffic flow detecting device of video, install simply, less investment, upgrading is convenient;
2, by analyzing the road noise situations from the road monitoring video that gathers, can utilize existing road monitoring camera, save the walkaway instrument of traditional noise monitoring, save great amount of cost, improve efficient;
3, utilize the mode of Real Time Monitoring video recording, dirigibility is strong, and detection efficiency is high, has guaranteed simultaneously the reliability of the data.
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 utility model obtains can be that neighbourhood noise law enforcement, evaluation and improvement provide in time, reliable, effective foundation, is conducive to the construction of harmonious society.The utility model method will possess widely application prospect.
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
The utility model is described in further detail below in conjunction with accompanying drawing 1-3.
A kind of device based on road monitoring video measuring road noise of the present utility model comprises intelligent terminal module 1, delivery module 2 and central control module 3.Wherein intelligent terminal module 1 comprises intelligent monitoring pick-up head 4, signal processing module 5, and communication module 6 and display screen 7, delivery module 2 comprises signal repeater 8, central control module 3 comprises central computer 9, noise alarm system 10 and LCD display 11.This device can have the function of real-time reflection road noise.
Should realize in the following way based on the device of road monitoring video measuring road noise: at first, by a terminal intelligent monitoring real-time monitor video of 4 collection roads, then be transferred to central control module 3 by transport module 2, by the processing to video image, obtain the related datas such as vehicle flowrate and vehicle, at last these data applications in the noise measurement model, obtain real-time urban road noise situation.
Should adopt following steps to measure noise based on the device of road monitoring video measuring road noise:
Step 1: gather information of vehicle flowrate
Detection to vehicle flowrate, adopt the method for detection line, at first determine the position of detection line, detection line must be perpendicular to road, preferably be placed on the center of detected road, the length that detection line is concrete and the scope of placement will be determined according to wagon flow and the track thereof of reality.When Vehicle Driving Cycle 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, then to calculate vehicle flowrate.
From the data that collect, take out the data message in each track, then by statistics, obtain the
Figure 155104DEST_PATH_IMAGE001
The number of the foreground pixel point of the data on the track
Figure 336687DEST_PATH_IMAGE002
, obtain simultaneously
Figure 588676DEST_PATH_IMAGE001
The track data are gone forward
Figure 488499DEST_PATH_IMAGE003
Foreground pixel point number in the individual data
Figure 445540DEST_PATH_IMAGE004
; At last
Figure 747208DEST_PATH_IMAGE003
The foreground pixel point number of individual data
Figure 107782DEST_PATH_IMAGE005
By following formula:
Figure 557218DEST_PATH_IMAGE006
Figure 927020DEST_PATH_IMAGE007
Judge the threshold value of setting in advance
Figure 879932DEST_PATH_IMAGE008
With
Figure 676987DEST_PATH_IMAGE009
With
Figure 348140DEST_PATH_IMAGE002
Relation, when having
Figure 521632DEST_PATH_IMAGE010
And
Figure 532314DEST_PATH_IMAGE011
And
Figure 64051DEST_PATH_IMAGE012
, think that this track has vehicle to occur in this frame this moment,
Figure 160183DEST_PATH_IMAGE013
Add 1 and
Figure 934104DEST_PATH_IMAGE014
Equal zero, otherwise think do not have vehicle to occur in this track of this two field picture, Add 1.
Wherein
Figure 938149DEST_PATH_IMAGE015
Expression the
Figure 583894DEST_PATH_IMAGE001
The number of the foreground pixel point on the track,
Figure 833610DEST_PATH_IMAGE016
Expression the
Figure 881200DEST_PATH_IMAGE001
The left side on the track
Figure 190959DEST_PATH_IMAGE003
The number of foreground pixel point in the individual data,
Figure 261683DEST_PATH_IMAGE017
Expression the
Figure 875942DEST_PATH_IMAGE001
The right on the track
Figure 715722DEST_PATH_IMAGE003
Foreground pixel point number in the individual data.
Figure 258699DEST_PATH_IMAGE018
Expression the
Figure 551140DEST_PATH_IMAGE001
The frame number of vehicle appears in track continuously,
Figure 408237DEST_PATH_IMAGE019
Expression the
Figure 164841DEST_PATH_IMAGE001
The frame number of vehicle does not appear in 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 arranges two rectangular coils, the same with the vehicle flowrate Computing Principle, detection line is set equally, by the detection of detection line to monitoring real-time video each two field picture, obtains the information calculations such as correlation time that vehicle enters coil and go out the speed of a motor vehicle and vehicle.Shown in Fig. 3,
Figure 816402DEST_PATH_IMAGE020
With
Figure 861718DEST_PATH_IMAGE021
It 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 enters coil 1 to the time interval that enters coil 2
Figure 319245DEST_PATH_IMAGE022
, enter coil 2 to the time interval of leaving coil 2
Figure 868038DEST_PATH_IMAGE023
, at the width of known coil be , coil-span is
Figure 849211DEST_PATH_IMAGE025
Situation under, then:
The speed of a motor vehicle is:
The vehicle commander is:
Figure 513728DEST_PATH_IMAGE027
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 vehicle and the speed of a motor vehicle, and their noise is not identical yet, according to the data of statistics, adopts the mode of equivalence to come the data of a certain class vehicle of various vehicle equivalence,
Type of vehicle Reference noise/dB(A) The 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.
As shown in table 1 by reference noise level and standard deviation thereof that a large amount of measured data statistics are obtained large car, in-between car, compact car three class cars.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:
Figure 772671DEST_PATH_IMAGE028
Figure 589317DEST_PATH_IMAGE029
In the formula,
Figure 326329DEST_PATH_IMAGE030
Expression be noise equivalent relation between large car and the compact car,
Figure 849714DEST_PATH_IMAGE031
Expression be noise equivalent relation between in-between car and the compact car.By 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:
Figure 846270DEST_PATH_IMAGE032
In the formula
Figure 822316DEST_PATH_IMAGE033
,
Figure 363019DEST_PATH_IMAGE034
,
Figure 68807DEST_PATH_IMAGE035
Be respectively: large car, in-between car, the wagon flow of compact car.
Figure 403973DEST_PATH_IMAGE036
It is the equivalent wagon flow of rolling stock.
Same, the equivalent traffic speed computing formula that we can obtain all vehicles is:
Figure 195212DEST_PATH_IMAGE037
In the formula
Figure 274026DEST_PATH_IMAGE038
,
Figure 772004DEST_PATH_IMAGE039
,
Figure 340388DEST_PATH_IMAGE040
Be respectively: large car, in-between car, the speed of a motor vehicle of compact car.
Figure 556606DEST_PATH_IMAGE041
It is the equivalent traffic speed of rolling stock.
Step 4: according to the top vehicle that we obtain, the data such as vehicle flowrate, these data are updated in the noise measurement model (as shown in the formula), obtain road noise.
Figure 65210DEST_PATH_IMAGE042
In the formula, Equivalent continuous sound level (unit: dB(A)) for vehicle;
Figure 360242DEST_PATH_IMAGE044
Be the reference energy average radiation sound level (unit: dB(A)) of compact car, generally being set as the 3rd class car here is compact car;
Figure 860493DEST_PATH_IMAGE045
Vehicle flowrate for the equivalence passed through in the fixed time; Speed (unit: km/h) for the equivalence of vehicle;
Figure 815997DEST_PATH_IMAGE003
For calculating the duration (unit: h) of equivalent sound level;
Figure 663867DEST_PATH_IMAGE046
Reference position distance (unit: m) for measuring vehicle radiation sound level;
Figure 589098DEST_PATH_IMAGE047
Be the vertical range (unit: m) from the track center line to check point;
Figure 374258DEST_PATH_IMAGE048
For the ground coverage coefficient, depend on surface condition,
Figure 701334DEST_PATH_IMAGE049
The damping capacity (unit: dB(A)) of △ S for causing owing to veils such as sound barrier, building, the woods.
Device based on road monitoring video measuring road noise of the present utility model adopts noise level indicator to compare with existing noise measurement technology, and cost is lower, safeguards simpler.The method of the utility model by using video image to process, extract the flow of vehicle in the road monitoring video, the speed of a motor vehicle, the 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 utility model.Should be pointed out that for the person of ordinary skill of the art under the prerequisite that does not break away from the utility model principle, can also make some modification and improvement, these also should be considered as belonging to protection domain of the present utility model.

Claims (4)

1. device based on road monitoring video measuring road noise, comprise: intelligent terminal module (1), delivery module (2) and central control module (3), it is characterized in that: intelligent terminal module (1) is connected 2 with delivery module) connect, delivery module (2) is connected 3 with central control module) connect.
2. a kind of device based on road monitoring video measuring road noise as claimed in claim 1, it is characterized in that: described intelligent terminal module (1) comprises intelligent monitoring pick-up head (4), signal processing module (5), communication module (6) and display screen (7).
3. a kind of device based on road monitoring video measuring road noise as claimed in claim 1, it is characterized in that: described delivery module (2) comprises signal repeater (8).
4. a kind of device based on road monitoring video measuring road noise as claimed in claim 1, it is characterized in that: described central control module (3) comprises central computer (9), noise alarm system (10) and LCD display (11).
CN 201220290786 2012-06-20 2012-06-20 Device for measuring road noise based on road monitoring video Expired - Fee Related CN202677615U (en)

Priority Applications (1)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103714827A (en) * 2013-12-11 2014-04-09 浙江大学 Coming car recognition device based on sound signal detection
CN108447270A (en) * 2018-03-26 2018-08-24 马秋月 A kind of equipment of record vehicle flowrate vehicle

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103714827A (en) * 2013-12-11 2014-04-09 浙江大学 Coming car recognition device based on sound signal detection
CN103714827B (en) * 2013-12-11 2016-03-30 浙江大学 Based on the recognition device of sending a car that voice signal detects
CN108447270A (en) * 2018-03-26 2018-08-24 马秋月 A kind of equipment of record vehicle flowrate vehicle

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