CN203798739U - Road weather detection system - Google Patents
Road weather detection system Download PDFInfo
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- CN203798739U CN203798739U CN201320787819.8U CN201320787819U CN203798739U CN 203798739 U CN203798739 U CN 203798739U CN 201320787819 U CN201320787819 U CN 201320787819U CN 203798739 U CN203798739 U CN 203798739U
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- 230000005540 biological transmission Effects 0.000 claims description 17
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- 238000005259 measurement Methods 0.000 description 6
- 238000000034 method Methods 0.000 description 6
- 238000005286 illumination Methods 0.000 description 5
- 239000003595 mist Substances 0.000 description 3
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Abstract
The utility model relates to a road weather detection system which comprises multiple video cameras, a matrix controller, a video acquisition card, a video processor, a switch, a screen display unit and a management control unit, wherein scene image data photographed by the multiple video cameras sequentially passes through the matrix controller, the video acquisition card, the video processor and the switch and is finally transmitted to the management control unit for processing; the matrix controller transmits the acquired scene image data to the screen display unit for display; each video camera comprises a camera, a decoding deck, a point light source, a convex lens, a circuit board and a convex lens displacement adjusting device; according to the convex lens displacement adjusting device, the convex lens moves up and down perpendicular to the point light source so as to match synchronization adjustment of the focal distance of the camera. According to the convex lens displacement adjusting device, when the focal distance of the camera is adjusted by the video camera, the distance between an infrared light source and the convex lens or a flat convex mirror is also adjusted. Therefore, the night road weather detection image is clear.
Description
Technical field
The utility model relates to a kind of detection system, especially relates to the meteorological detection system of a kind of road.
Background technology
Visibility (Visibility) is the amount that the person that passes through artificial observation that first defines for meteorological object quantitatively estimates, the observation of carrying out by this way now adopts just widely.But the estimation of visibility is subject to impact many subjectivities and factor physics; Basic meteorology amount, i.e. atmospheric transparency, can measure objectively, and represents with meteorological optical range (MOR).
Meteorological optical range (Meteorological optical range) refers to that the luminous flux of the parallel beam that the colour temperature sent by incandescent lamp is 2700K weakens 5% path of passing through to initial value in atmosphere.This luminous flux adopts the photometric measurement luminosity function of International Commission on Illumination (ICI) not determine.
Meteorological optical range on daytime (Meteorological visibility by day) is defined as: when observing under the scattered light such as mist, sky background, the black objects thing of a suitable yardstick that is placed in Near Ground can be in sight and the ultimate range recognized.It must be emphasized that, accepted standard is to recognize object, and not only sees it is what that object can not be recognized it.
Meteorological optical range at night (Meteorological visibility at night) is defined as:
(a) imaginary general lighting is increased to the level on normal daytime, suitably the black objects thing of the yardstick energy ultimate range with recognizing in sight; Or
(b) the luminous physical efficiency of the medium tenacity ultimate range with identifying in sight.
Four photometering amounts are with various criterion specific definition below, such as by International Electrotechnical Commission (IEC) (IEC, 1987):
(a) luminous flux (Luminous flux) (symbol: F(or φ), unit: lm(lumen)) be the amount being derived by radiation flux, the definite radiant quantity of effect by it to International Commission on Illumination (ICI) standard photometric observer.
(b) luminous intensity (Luminous intensity) (symbol: I, unit: cd(candela) or the every sterad of lm sr-1(lumen)) luminous flux in per unit solid angle.
(c) luminance brightness (Luminance) (symbol: L, unit: every square metre of cd m-2(candela)) luminous intensity on per unit area.
(d) illuminance (Illuminance) (symbol: E, unit: lux(lux) or lm m-2) luminous flux on per unit area.
Extinction coefficient (Extinction coefficient) (symbol: σ) is that colour temperature is the part luminous flux of the parallel beam that sends of the incandescent source of 2700K through the path loss of unit distance in atmosphere.This coefficient is to owing to absorbing and the measurement of the decay that causes of scattering.
Brightness contrast (Luminance contrast) (symbol: C) is the brightness of object and the difference of its background luminance ratio with background luminance.
Comparison threshold value (Contrast threshold) (symbol: ε) is the minimum brightness contrast that human eye can be discovered, for example, the value that allows object to disappear from background, comparison threshold value is with each one and different.
Illumination threshold (Illuminance threshold) (Et) under certain luminance background human eye discover the minimal illumination of the light of point source.Thereby the value of Et changes with illumination condition.
Transmission factor (Transmission factor) (T) is defined as the mark of the parallel beam that the incandescent source that is 2700K by colour temperature is sent remaining luminous flux after the optical path of given length in atmosphere.Transmission factor is also called transmission coefficient.When limiting when path, i.e. a length-specific (for example, the in the situation that of transmissometer), also adopts the term of transmittance or transmissivity one class.In this case, T is conventionally multiplied by 100 and is expressed as a percentage.
The units and rulers of visibility.
Meteorological optical range or meteorological optical range MOR represent with m or km.Measurement range varies depending on the application, and to synoptic scale requirement, the yardstick of MOR is from being less than 100m to being greater than 70km, and measurement range can have suitable restriction in the time that other are applied.Concerning civil aviation, be above limited to 10km.In the time being applied to the measurement of the runway visual range in the less situation of visibility of describing landing and takeoff condition, this scope also will further be dwindled.Runway visual range is only required between 500m and 1500m.For other application, such as land route or maritime traffic, there is different limits according to requirement and the position measured.
The proportional increase of the error of visibility measurement and visibility, measures scale and has considered this point.Be reflected in weather forecast use code in by progressively reducing resolution with three kinds of linear segmented, 100m is to 3000m, step-length is 100m, 6 arrive 30km, step-length is 1km, 35km is to 70km, step-length is 5km.Except low visibility is in 900m, this scale can make the visibility value of report better than accuracy of measurement.
Summary of the invention
The utility model has designed the meteorological detection system of a kind of road, when the technical matters of its solution is the video camera use in the meteorological detection system of existing road, the light that night infrared line source is launched can not change along with monitoring the focal length variations of camera head camera, cannot provide clearly picture to show road weather condition.
In order to solve the technical matters of above-mentioned existence, the utility model has adopted following scheme:
The meteorological detection system of a kind of road, comprise multiple cameras, matrix controller, video frequency collection card, video processor, switch, screen display unit and management control unit, the scene image data that multiple cameras photographs are passed through matrix controller successively, video frequency collection card, video processor and switch finally occur to management control unit processing, matrix controller is sent to screen display unit by the scene image data that collect and shows, it is characterized in that: every video camera comprises camera (7), decoding deck (8), pointolite (2), convex lens (5), wiring board (3) and convex lens displacement adjustment device, convex lens displacement adjustment device makes described convex lens sheet (5) move up and down to coordinate camera focal length synchronously to adjust perpendicular to pointolite (2).
Further, described convex lens displacement adjustment device comprises drive unit and linkage, and described linkage is transmission guide rod (4), and described drive unit is micromachine (1); Described transmission guide rod (4) is provided with spiral chute (12); It is upper that described transmission guide rod (4) one end is vertically fixed on wiring board (3), and its other end is through the current hole on convex lens (5), and the edge in the upper current hole of described convex lens (5) is provided with the projection (11) that can slide in described spiral chute (12); Described micromachine (1) is arranged on one end of described transmission guide rod (4).
Further, described convex lens (5) are made up of polylith convex lens sheet or polylith planoconvex lens, and the layout shape of described polylith convex lens sheet or polylith planoconvex lens is identical with layout shape and the quantity of described pointolite (2) with quantity.
Further, described pointolite (2) is LED point source.
The meteorological detection system of this road, compared with the meteorological detection system of existing road, has following beneficial effect:
(1) the utility model is because video camera is provided with convex lens displacement adjustment device, this device can make video camera in the time adjusting camera focal length, also adjust the distance of infrared light sources and convex lens sheet or planoconvex lens simultaneously, make light source focusing and video camera focusing synchronous, thereby make the meteorological image detecting of road at night more clear.
(2) the utility model due to adopt the scene image that photographs of video camera in visibility the technology of the visibility of the diversity judgement current time of sharpness when high and low visibility, thereby the visibility data that draw by video image analysis are the quantification data constantly that change along with the variation of visibility, overall visibility situation and variation in can real reflecting video region.
(3) the utility model, by monitor staff according to the situation in weather, section, is set arbitrarily the visibility threshold value of zones of different, and low visibility is alarm in threshold value, so just can the generation of a mist be found and be reported to the police in time rapidly.
Brief description of the drawings
Fig. 1: the structural representation of the meteorological detection system of the utility model road;
Fig. 2: camera structure schematic diagram in the utility model;
Fig. 3: the structural representation of the utility model convexity lens displacement regulating device;
Fig. 4: transmission guide rod structural representation in the utility model;
Fig. 5: the projection enlarged drawing in current hole on convex lens in the utility model.
Embodiment
Below in conjunction with accompanying drawing, the utility model is described further:
The meteorological detection system of a kind of road, comprise multiple cameras, matrix controller, video frequency collection card, video processor, switch, screen display unit and management control unit, the scene image data that multiple cameras photographs finally occur to management control unit processing by matrix controller, video frequency collection card, video processor and switch successively, and matrix controller is sent to screen display unit by the scene image data that collect and shows.
Every video camera comprises camera 7, decoding deck 8, pointolite 2, convex lens 5, wiring board 3 and convex lens displacement adjustment device, and convex lens displacement adjustment device makes described convex lens sheet 5 move up and down to coordinate camera focal length synchronously to adjust perpendicular to pointolite 2.
Convex lens displacement adjustment device comprises drive unit and linkage, and described linkage is transmission guide rod 4, and drive unit is micromachine 1; Transmission guide rod 4 is provided with spiral chute 12; Transmission guide rod 4 one end are vertically fixed on wiring board 3, and its other end is through the current hole on convex lens 5, and on convex lens 5, the edge in current hole is provided with the projection 11 that can slide in described spiral chute 12; Micromachine 1 is arranged on one end of transmission guide rod 4.
Convex lens 5 are made up of polylith convex lens sheet or polylith planoconvex lens, and the layout shape of polylith convex lens sheet or polylith planoconvex lens is identical with layout shape and the quantity of described pointolite 2 with quantity.
Control circuit in decoding deck 8 will be controlled camera 7 and convex lens displacement adjustment device simultaneously, make both Focussings to identical distance.Meanwhile, the input and output that the control circuit in decoding deck 8 can also control chart image signal.
The utility model is because video camera is provided with convex lens displacement adjustment device, this device can make video camera in the time adjusting camera focal length, also adjust the distance of infrared light sources and convex lens sheet or planoconvex lens simultaneously, make light source focusing and video camera focusing synchronous, thereby make the meteorological image detecting of road at night more clear.
Principle of work of the present utility model is as follows:
The visibility of the scene image that management control unit photographs according to video camera diversity judgement current time of sharpness in the time of visibility height and low visibility.
Daytime, video visibility detected by following three kinds of modes:
A, change and judge visibility according to the texture information of image, the texture information of a certain scene image to be detected is calculated, obtain the texture information value in each moment, then judge the visibility value in this moment according to the account of the history of the texture information value of this scene;
B, change and judge visibility according to the content information of image, the content information of a certain scene image to be tested is calculated, obtain the content information value in each moment, then judge the visibility value in this moment according to the account of the history of the content information value of this scene;
C, according to the disappearance position judgment visibility of moving vehicle in image, can disappear at the far-end that detects camera coverage at the vehicle of running on expressway, by the analysis to video image, can obtain the distance of vehicle end point apart from check point, in the time of visibility step-down, vehicle end point just diminishes to the distance of check point thereupon, thereby provides foundation for the variation of judging visibility.
The video visibility at night of low visibility detects by following three kinds of modes:
A, there is the implementation method of fixed light source in test point; Provide fixing light source at visibility check point, the a certain region of detecting in the visual field is illuminated, this region provides foundation for the calculating of the image texture value of information, the region that selection is illuminated in the collection image that detects video camera is as the basis of the image texture value of information, by the texture information value evaluation visibility obtaining;
B, there is no fixed light source in test point, implementation method when camera gain is transferred to maximum, in the situation that cannot providing fixed light source, when camera gain is transferred to maximum, make the video image brightness maximum obtaining, select again the region of the frequent process of vehicle in image as the basis of the image texture value of information, evaluate visibility;
C, there is no fixed light source in test point, also implementation method camera gain cannot be transferred to maximum time, in the situation that cannot providing fixed light source, camera gain can not be transferred to maximum time, can only utilize car light through vehicle as light source, analyze texture information, first analyze and obtain the region that car light illuminates, then calculate the texture information value in the region being illuminated, visibility is evaluated.
According to the situation in weather, section, set arbitrarily the visibility threshold value of zones of different by monitor staff, low visibility is alarm in threshold value, so just can the generation of a mist be found and be reported to the police in time rapidly.
Conventionally the method for doing visibility detection is on fixed cameras, do a series of demarcation and in earlier stage work be set, and in the time that video camera seat in the plane is moved, visibility detects and just lost efficacy.
Native system is supported monopod video camera, has realized cradle head preset positions Intelligent Recognition and control.In the time that monopod video camera rotates, the automatic recognition image of system changes, and stops detecting.Can adopt automatic identification The Cloud Terrace playback to detect the (presetting bit that upper level system control The Cloud Terrace is got back to initial position or set arbitrarily according to system requirements, system starts to detect automatically), The Cloud Terrace controls two kinds of modes of detections (meet under trigger condition system and automatically control The Cloud Terrace and get back to assigned position, start detection) automatically.
By reference to the accompanying drawings the utility model is carried out to exemplary description above; obvious realization of the present utility model is not subject to the restrictions described above; as long as the various improvement that adopted method design of the present utility model and technical scheme to carry out; or without improving, design of the present utility model and technical scheme are directly applied to other occasion, all in protection domain of the present utility model.
Claims (4)
1. the meteorological detection system of road, comprise multiple cameras, matrix controller, video frequency collection card, video processor, switch, screen display unit and management control unit, the scene image data that multiple cameras photographs are passed through matrix controller successively, video frequency collection card, video processor and switch finally occur to management control unit processing, matrix controller is sent to screen display unit by the scene image data that collect and shows, it is characterized in that: every video camera comprises camera (7), decoding deck (8), pointolite (2), convex lens (5), wiring board (3) and convex lens displacement adjustment device, convex lens displacement adjustment device makes described convex lens sheet (5) move up and down to coordinate camera focal length synchronously to adjust perpendicular to pointolite (2).
2. the meteorological detection system of road according to claim 1, is characterized in that: described convex lens displacement adjustment device comprises drive unit and linkage, described linkage is transmission guide rod (4), and described drive unit is micromachine (1); Described transmission guide rod (4) is provided with spiral chute (12); It is upper that described transmission guide rod (4) one end is vertically fixed on wiring board (3), and its other end is through the current hole on convex lens (5), and the edge in the upper current hole of described convex lens (5) is provided with the projection (11) that can slide in described spiral chute (12); Described micromachine (1) is arranged on one end of described transmission guide rod (4).
3. the meteorological detection system of road according to claim 2, it is characterized in that: described convex lens (5) are made up of polylith convex lens sheet or polylith planoconvex lens, the layout shape of described polylith convex lens sheet or polylith planoconvex lens is identical with layout shape and the quantity of described pointolite (2) with quantity.
4. according to the meteorological detection system of road described in any one in claim 1-3, it is characterized in that: described pointolite (2) is LED point source.
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CN201320787819.8U CN203798739U (en) | 2013-12-04 | 2013-12-04 | Road weather detection system |
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CN201320787819.8U CN203798739U (en) | 2013-12-04 | 2013-12-04 | Road weather detection system |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN111341118A (en) * | 2020-02-28 | 2020-06-26 | 长安大学 | System and method for early warning of mist on grand bridge |
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN111341118A (en) * | 2020-02-28 | 2020-06-26 | 长安大学 | System and method for early warning of mist on grand bridge |
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