CN108696960B - Adjusting method of road lighting system and road lighting system - Google Patents
Adjusting method of road lighting system and road lighting system Download PDFInfo
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- CN108696960B CN108696960B CN201710232843.8A CN201710232843A CN108696960B CN 108696960 B CN108696960 B CN 108696960B CN 201710232843 A CN201710232843 A CN 201710232843A CN 108696960 B CN108696960 B CN 108696960B
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B45/00—Circuit arrangements for operating light-emitting diodes [LED]
- H05B45/10—Controlling the intensity of the light
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/105—Controlling the light source in response to determined parameters
- H05B47/11—Controlling the light source in response to determined parameters by determining the brightness or colour temperature of ambient light
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- H—ELECTRICITY
- H05—ELECTRIC TECHNIQUES NOT OTHERWISE PROVIDED FOR
- H05B—ELECTRIC HEATING; ELECTRIC LIGHT SOURCES NOT OTHERWISE PROVIDED FOR; CIRCUIT ARRANGEMENTS FOR ELECTRIC LIGHT SOURCES, IN GENERAL
- H05B47/00—Circuit arrangements for operating light sources in general, i.e. where the type of light source is not relevant
- H05B47/10—Controlling the light source
- H05B47/175—Controlling the light source by remote control
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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Abstract
The invention provides a method for adjusting a road lighting system and the road lighting system. The method mainly comprises the following steps: acquiring images of the road lighting system in the detection range under the overlooking visual angle to generate images; and obtaining the brightness data of each road illumination area according to the image, and adjusting a road illumination system to make the illumination brightness in the detection range consistent. Different from the traditional technical scheme of adjusting road illumination by acquiring data through a sensor, the method provided by the invention can be used for adjusting the brightness of the road illumination by taking pictures at high altitude and analyzing the road illumination condition by utilizing the image recognition and digital processing technology, thereby avoiding the error caused by the influence of the environment.
Description
Technical Field
The present invention relates to the field of road lighting system control, and in particular to a method for adjusting a road lighting system and a novel road lighting system.
Background
L ED is a green energy-saving light source, and has become a new favorite of basic lighting facilities in recent years, and is widely applied to illumination of towns and highways compared with the traditional light source, the semiconductor characteristic of the L ED light source makes dimming one of advantages, not only can dimming color, color temperature, brightness and the like be performed, but also dimming can be performed according to time intervals, use conditions and the like, and big data adjustment can be combined, so that the practicability and the prospect of intelligent illumination are more possible.
In the prior art, the illumination of each point of the road surface is measured by arranging optical sensors such as an illumination sensor at a fixed acquisition point of the road surface, so that the illumination of the whole street lamp system or the whole street lamp area is controlled to be consistent. However, in this method, because there are inevitable errors between different sensors, and the accuracy of the sensors is greatly influenced by the environment (for example, the shielding of objects such as dust and branches can be influenced), it is impossible to adjust the lighting of the whole street lamp system or area effectively only by these data.
In addition, for brightness adjustment, various parameter indexes are currently available for selection, such as: the regulation is carried out according to the feedback of electrical parameters such as current and voltage, the regulation is carried out according to the time at the peak time of big data statistics, the regulation is carried out according to the ambient brightness acquired by a brightness sensor, the regulation is carried out according to the judgment of the traffic flow such as microwave sensor or GPS positioning data, and the like. In order to achieve better intelligent lighting effects and smart city implementation, a plurality of ways need to be combined in smart lighting applications today. However, the existing integration schemes are more purely stacked and cannot be effectively linked among various modes.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, it is an object of the present invention to provide a method of adjusting a road lighting system and a novel road lighting system for solving the above-mentioned problems of the prior art.
To achieve the above and other related objects, the present invention provides a method of adjusting a road lighting system including a plurality of lighting fixtures, the method comprising: acquiring images of the road lighting system in the detection range under the overlooking visual angle to generate images; and obtaining the brightness data of each road illumination area according to the image, and adjusting a road illumination system to make the illumination brightness in the detection range consistent.
In an embodiment of the present invention, the adjusting the road lighting system according to the luminance data of each road lighting area obtained from the image includes: and adjusting the brightness value of each lighting lamp to make the gray value of each road surface lighting area in the image uniform.
In an embodiment of the present invention, the detection range includes: a preset plurality of reference location points, the method further comprising: acquiring the actual road surface brightness value of each reference position point; acquiring the gray value of each reference position point in the image and taking the gray value as a relative brightness value; calculating to obtain the actual road surface brightness value of each position point in the detection range according to the actual road surface brightness value and the relative road surface brightness value of each reference position point; and correspondingly adjusting the brightness value of each lighting lamp according to the calculated actual road surface brightness value of each position point so as to enable the lighting brightness in the detection range to meet the dimming requirement.
In an embodiment of the present invention, the detection range includes: the method comprises the following steps of presetting a plurality of reference position points, wherein a light source with constant brightness is arranged at each reference position point; the method further comprises the following steps: taking the light source brightness value of each reference position point as an actual road surface brightness value; acquiring the gray value of each reference position point in the image and taking the gray value as a relative brightness value; calculating to obtain the actual road surface brightness value of each position point in the detection range according to the actual road surface brightness value and the relative road surface brightness value of each reference position point; and correspondingly adjusting the brightness value of each lighting lamp according to the calculated actual road surface brightness value of each position point so as to enable the lighting brightness in the detection range to meet the dimming requirement.
In an embodiment of the present invention, the calculating the actual road surface luminance value of each position point in the detection range according to the actual road surface luminance value and the relative road surface luminance value of each reference position point includes: calculating to obtain the corresponding relation between the actual road surface brightness value and the relative road surface brightness value of each reference position point; and calculating to obtain the relative road surface brightness value of each other point in the image according to the difference of the gray value between each reference position point and each other point in the image, and obtaining the actual road surface brightness value of each other point through the corresponding relation.
In an embodiment of the invention, the reference location point is disposed outside a roadway illumination area of the roadway illumination system.
In an embodiment of the present invention, the method further includes: and taking the brightness data of the illumination areas of each road surface as auxiliary data for road condition analysis.
To achieve the above and other related objects, the present invention provides a road lighting system, comprising a plurality of lighting fixtures, further comprising: the system comprises an input module, a detection module and a display module, wherein the input module is used for acquiring an image, and the image is generated by acquiring an image of a road lighting system in a detection range under a top view angle; the processing module is connected with the input module and used for processing the image to obtain brightness data of each road illumination area and outputting a control signal for adjusting the brightness value of each illumination lamp; and the dimming module is respectively connected with the processing module and the lighting circuit of each lighting lamp and is used for adjusting the brightness of the corresponding lighting lamp according to each control signal.
In an embodiment of the present invention, the system further includes: and the image acquisition module is connected with the input module and is used for acquiring images of the road lighting system in the detection range under the overlooking visual angle and generating images.
In an embodiment of the present invention, the image capturing module includes: drones, and/or satellites.
In an embodiment of the present invention, a plurality of reference position points are disposed in the detection range; the input module is further configured to: acquiring the actual road surface brightness value of each reference position point; the processing module is further configured to: acquiring a gray value of each reference position point in the image as a relative brightness value; calculating to obtain the actual road surface brightness value of each position point in the detection range according to the actual road surface brightness value and the relative road surface brightness value of each reference position point; and outputting the brightness value of each lighting lamp for enabling the lighting brightness in the detection range to meet the dimming requirement by referring to the calculated actual road surface brightness value of each position point.
In an embodiment of the present invention, a plurality of reference position points are disposed in the detection range, wherein a light source emitting constant brightness to the sky is disposed at each of the reference position points; the input module is further configured to: acquiring a light source brightness value of each reference position point and taking the light source brightness value as an actual road surface brightness value; the processing module is further configured to: acquiring the gray value of each reference position point in the image and taking the gray value as a relative brightness value; calculating to obtain the actual road surface brightness value of each position point in the detection range according to the actual road surface brightness value and the relative road surface brightness value of each reference position point; and outputting the brightness value of each lighting lamp for enabling the lighting brightness in the detection range to meet the dimming requirement by referring to the calculated actual road surface brightness value of each position point.
In an embodiment of the present invention, the processing unit calculates the actual road surface luminance value of each position point in the detection range according to the actual road surface luminance value and the relative road surface luminance value of each reference position point, and the method is implemented as follows: calculating to obtain the corresponding relation between the actual road surface brightness value and the relative road surface brightness value of each reference position point; and calculating to obtain the relative road surface brightness value of each other point in the image according to the difference of the gray value between each reference position point and each other point in the image, and obtaining the actual road surface brightness value of each other point through the corresponding relation.
In an embodiment of the invention, the reference location point is disposed outside a roadway illumination area of the roadway illumination system.
In an embodiment of the present invention, the luminance data of each road illumination area is used as an auxiliary data for road condition analysis.
In an embodiment of the present invention, the system further includes: and the road condition analysis module is connected with the processing module and used for receiving the brightness data of the road illumination areas sent by the processing module so as to be used as auxiliary data of road condition analysis to analyze the road condition.
In an embodiment of the present invention, the system further includes: and the output port module is connected with the processing module and used for receiving the brightness data of each road illumination area sent by the processing module and sending the brightness data to external equipment so that the external equipment can use the brightness data of each road illumination area as auxiliary data and analyze road conditions.
As described above, unlike the conventional technical solutions of adjusting road lighting by collecting data through a sensor, the adjusting method of the road lighting system and the road lighting system of the present invention perform aerial photography on an application scene of the road lighting system, and analyze a road lighting condition by using image recognition and digital processing techniques, thereby adjusting the brightness of road lighting, avoiding an error caused by environmental impact, and in addition, providing auxiliary data for other sensors or dimming schemes.
Drawings
Fig. 1 is a flowchart illustrating a method for adjusting a road lighting system according to an embodiment of the invention.
Fig. 2 is a flow chart of an adjusting method of a road lighting system according to another embodiment of the present invention.
Fig. 3 is a block diagram of a road lighting system according to an embodiment of the invention.
Description of the element reference numerals
3 road lighting system
301 input module
302 processing module
303 dimming module
S101 to S102
S201～S203
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
The technical scheme of the invention is applied to a road lighting system comprising at least one lighting lamp (such as a street lamp, a landscape lamp and the like), preferably, the road lighting system is an intelligent lighting system, and at least one lighting lamp comprised by the intelligent lighting system is an intelligent lighting lamp. Different from the traditional lighting equipment, the intelligent lighting lamp is additionally provided with various communication modules, data processing modules and the like, can receive control signals sent from the outside, and adjusts the lighting brightness of the intelligent lighting lamp according to the control signals.
At present, the illumination brightness of a certain application scene is supposed to be consistent, which is basically realized by relying on the brightness information of some measuring points collected by an optical sensor, and due to the factors of the difference of the optical sensor, the environmental influence and the like, the collected brightness information has larger errors, and the problem of inaccurate brightness adjustment is caused. In view of this, the present invention provides a novel solution for enabling adjustment of a road lighting system.
As shown in fig. 1, a method of adjusting a road lighting system of the present invention comprises the steps of:
step S101: and acquiring an image of the road lighting system in the detection range under the overlooking view angle to generate an image. In one embodiment, the image is generated by taking a picture of a road lighting system within a detection range of the ground from a high-definition camera device (such as a camera, a video camera, a drone, a satellite, etc.) from a high-altitude perspective. In order to further improve the accuracy of the data, shooting under the condition of no cloud at night can be selected. The shooting device can be one device all the time so as to reduce errors caused by shooting of different devices. For installation and debugging or maintenance repair (aiming at enabling the illumination brightness to be consistent), continuous shooting for a plurality of times can be selected in a short period of late-night vehicles, so that the influence of a large number of vehicles on road surface reflection is avoided.
Step S102: and obtaining the brightness data of each road illumination area according to the image, and adjusting a road illumination system to make the illumination brightness in the detection range consistent. Because the gray value of the image represents the relative brightness of the road surface, the brightness value of the lighting lamp is correspondingly adjusted according to the brightness data of the lighting area in the image, so that the gray value of each road surface lighting area represented on the image is uniform, and the lighting brightness in the detection range can be consistent.
The above steps S101 to S102 can eliminate the difference of the illumination effect within the detection range, but cannot further achieve the effect of integrating multiple brightness adjustment modes and forming effective linkage between the various modes, and the effect of precise adjustment. In view of this, the method for adjusting a road lighting system of the present invention further sets a plurality of reference position points in advance within the detection range. The reference position point can be arranged at the position of one or more street lamps and the peripheral position of one or more street lamps, and preferably, the reference position point is arranged in a non-road lighting area so as to avoid the judgment of the brightness by the road surface reflected light. At this time, the adjusting method of the road lighting system of the present invention further includes the following steps, as shown in fig. 2 in detail:
step S201: acquiring an actual road surface brightness value of each reference position point; and acquiring the gray value of each reference position point in the image as a relative brightness value. Because the brightness of each road shown on the photo is only relative brightness, when the brightness difference of each relative road surface obtained from the picture is obvious, the illumination brightness in the detection range is not balanced, if more accurate dimming is needed according to the image, the actual brightness needs to be obtained, and the illumination brightness of each street lamp in the detection range is comprehensively adjusted according to the position of each reference position point, so that the brightness of each relative road surface is consistent or the error between the brightness of each relative road surface is allowed to be within a certain range, and the illumination brightness in the detection range can be consistent.
In one embodiment, the road surface brightness value of each reference position point may be measured in the field while taking a picture, for example: the luminance value and the like are obtained by measuring the illuminance with an illuminometer and converting the illuminance into the luminance of the road surface. In another embodiment, in order to improve the accuracy of the road surface brightness value of the reference position point, a light source with constant sky emission brightness may be arranged in advance at each of the reference position points, and the brightness value of the light source may be used as the actual road surface brightness value. When the brightness value of the light source is taken as a reference value, the method can be used for assisting in judging the authenticity of each relative road surface brightness value, such as: and judging whether the illumination brightness in the area is actually required to be adjusted or whether the brightness on the image is abnormal due to the influence of weather factors through the feedback of a plurality of constant-brightness reference points on the image.
Step S202: and calculating to obtain the actual road surface brightness value of each position point in the detection range according to the relative road surface brightness value and the actual road surface brightness value of each reference position point. For example: firstly, obtaining a plurality of observation images continuously shot by the shooting device in the step S101 (for example, shooting one observation image every ten minutes), thereby obtaining a plurality of groups of relative road surface brightness values of each reference position point, namely actual road surface brightness value data, analyzing the data, and calculating to obtain the corresponding relation between the relative road surface brightness value and the actual road surface brightness value of each reference position point; then, calculating to obtain the relative road surface brightness value of other points in the image according to the difference of the gray values between the reference position points and other points in the observation image (the gray level of each pixel point of the image represents the relative brightness of each pixel point, and the higher the gray value is, the brighter the illumination at the point is); and finally, taking the relative road surface brightness values of other points as the input of the corresponding relation, and obtaining the actual road surface brightness values of other points through the conversion of the corresponding relation. It should be noted that, when calculating the correspondence between the relative road surface luminance value and the actual road surface luminance value, the actual road surface luminance value is preferably the actual road surface luminance value using the reference position point, and more preferably, the luminance value of the constant light source disposed at the reference position point is used, so that the obtained correspondence is more accurate.
Step S203: after the actual road surface brightness value of each position point in the detection range is obtained, the brightness value of the lighting lamp at the corresponding position is changed according to a specific brightness adjusting scheme, and then the lighting effect of the detection range can be accurately adjusted.
In summary, the method for adjusting a road lighting system of the present invention may further use the luminance data of each road lighting area as auxiliary data of other sensors or dimming schemes, and the luminance data is processed and analyzed by the road lighting system itself, or sent to a third party, and processed and analyzed by the third party, so as to assist other intelligent street lamps to acquire required road condition data or acquire required road condition data for other dimming schemes. For example: in the scheme of judging the traffic flow according to the microwave sensor, reflected light of a road surface is abnormal in an image of a vehicle, and more accurate data can be obtained by counting the reference position points and combining the data of the microwave sensor and an image recognition result. Of course, the traffic information can also be determined in an assisted manner by combining image changes within a certain time (for example, if the bright spots on a plurality of images are concentrated and do not move within ten minutes, the current traffic jam can be determined in an assisted manner) according to the number of the car lights (which are represented as bright spots with high gray values on the road in image processing).
Referring to fig. 3, similar to the principle of the above method embodiment, the present invention provides a road lighting system 3, where the system 3 includes a plurality of lighting fixtures, and includes: an input module 301, a processing module 302, and a dimming module 303. Since the technical features in the foregoing embodiments can be used in this embodiment, detailed descriptions thereof are not repeated.
The input module 301 may be a wired/wireless communication transmission unit (WIFI, bluetooth, etc.); the processing module 302 is connected with the input module 301 and comprises a processor (CPU, etc.), a memory (RAM, ROM), etc.; the dimming module 303 (e.g., circuit implementation, etc.) is connected to the processing module 302, and is respectively connected to the lighting circuits of the lighting fixtures, and can adjust the brightness of the lighting fixtures according to the control signal sent by the processing module 302.
The input module 301 is configured to acquire an image, where the image is generated by image acquisition of the road lighting system in the detection range from the top view. The processing module 302 is configured to process the image, obtain luminance data of each road illumination area, and output a control signal for adjusting a luminance value of each of the illumination fixtures. The dimming module 303 is configured to adjust the brightness of the corresponding lighting fixture according to each of the control signals. In addition, the system 3 further includes an image capturing module (e.g., an unmanned aerial vehicle, a satellite, a camera with a communication function, a video camera, etc.) connected to the input module 301, for capturing an image of the road lighting system in the detection range from the top view and generating the image.
In one embodiment, a plurality of reference position points are preset in the detection range, and preferably, the reference position points are arranged in the non-road illumination area. At this time, the input module 301 is further configured to obtain an actual road surface brightness value of each of the reference position points. The processing module 302 is further configured to: acquiring a gray value of each reference position point in the image as a relative brightness value; calculating to obtain the actual road surface brightness value of each position point in the detection range according to the relative road surface brightness value and the actual road surface brightness value of each reference position point; and outputting the brightness value of each lighting lamp for enabling the lighting brightness in the detection range to meet the dimming requirement by referring to the calculated actual road surface brightness value of each position point.
For example: firstly, a plurality of continuously shot observation images are obtained through the input module 301 (for example, one observation image is shot every ten minutes), so that a plurality of groups of relative road surface brightness values of each reference position point, namely actual road surface brightness value data are obtained, the data are analyzed, and the corresponding relation between the relative road surface brightness value and the actual road surface brightness value of each reference position point is obtained through calculation; then, calculating to obtain the relative road surface brightness value of other points in the image according to the difference of the gray values between the reference position points and other points in the observation image (the gray level of each pixel point of the image represents the relative brightness of each pixel point, and the higher the gray value is, the brighter the illumination at the point is); and finally, taking the relative road surface brightness values of other points as the input of the corresponding relation, and obtaining the actual road surface brightness values of other points through the conversion of the corresponding relation. It should be noted that, when calculating the correspondence between the relative road surface luminance value and the actual road surface luminance value, the actual road surface luminance value is preferably the actual road surface luminance value using the reference position point, and more preferably, the luminance value of the constant light source disposed at the reference position point is used, so that the obtained correspondence is more accurate.
As a further improvement of the above embodiment, each of the reference location points within the detection range is provided with a light source emitting a constant brightness to the sky. The processing module 302 uses the luminance value of the light source as a road surface luminance reference value to assist in judging the authenticity of each of the relative road surface luminance values, and uses the road surface luminance reference value as an actual road surface luminance value to calculate the correspondence.
In connection with the above, the road lighting system 3 of the present invention may also use the luminance data of each road lighting area as auxiliary data of other sensors or dimming schemes, and the luminance data is processed and analyzed by the road lighting system 3 itself, or sent to a third party, and processed and analyzed by the third party, so as to assist other intelligent street lamps to acquire the required road condition data or acquire the required road condition data for other dimming schemes. For example: in the scheme of judging the traffic flow according to the microwave sensor, reflected light of a road surface is abnormal in an image of a vehicle, and more accurate data can be obtained by counting the reference position points and combining the data of the microwave sensor and an image recognition result. Of course, the traffic information can also be determined in an assisted manner by combining image changes within a certain time (for example, if the bright spots on a plurality of images are concentrated and do not move within ten minutes, the current traffic jam can be determined in an assisted manner) according to the number of the car lights (which are represented as bright spots with high gray values on the road in image processing).
It should be noted that, when the luminance data of each road illumination area is used as the road condition analysis processing by the system 3 itself, the system 3 further includes a road condition analysis module, which is connected to the processing module 302, and after receiving the luminance data of each road illumination area from the processing module 302, it is used as the auxiliary number for road condition analysis and performs the road condition analysis; when the road condition analysis work is performed by the third-party electronic device, the system 3 further includes an output port module, and the output port module sends the luminance data of each road illumination area to the third-party electronic device, so that the third-party electronic device can process and analyze the luminance data.
In summary, the road lighting system and the adjusting method thereof of the present invention effectively overcome various disadvantages in the prior art, and have high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (11)
1. A method of adjusting a roadway lighting system, the roadway lighting system including a plurality of lighting fixtures, the method comprising:
acquiring images of the road lighting system in the detection range under the overlooking visual angle to generate images;
obtaining brightness data of each road surface illumination area according to the image, and adjusting a road illumination system to enable illumination brightness in the detection range to be consistent; wherein, a plurality of preset reference position points are also included in the detection range, and the method further comprises:
acquiring the actual road surface brightness value of each reference position point; or when a light source with constant brightness is emitted to the sky at each reference position point, acquiring a light source brightness value of each reference position point as an actual road surface brightness value;
acquiring the gray value of each reference position point in the image and taking the gray value as the brightness value of the relative road surface;
calculating to obtain the corresponding relation between the actual road surface brightness value and the relative road surface brightness value of each reference position point; calculating to obtain the relative road surface brightness value of each other point in the image according to the difference of the gray value between each reference position point and each other point in the image, and obtaining the actual road surface brightness value of each other point through the corresponding relation;
and correspondingly adjusting the brightness value of each lighting lamp according to the calculated actual road surface brightness value of each position point so as to enable the lighting brightness in the detection range to meet the dimming requirement.
2. The method for adjusting a road lighting system according to claim 1, wherein the obtaining of the brightness data of each road lighting area according to the image to adjust the road lighting system comprises: and adjusting the brightness value of each lighting lamp to make the gray value of each road surface lighting area in the image uniform.
3. Method for adjusting a road lighting system according to claim 1, characterized in that the reference location point is arranged outside the road lighting area of the road lighting system.
4. The method for adjusting a road lighting system according to claim 1, further comprising: and taking the brightness data of the illumination areas of each road surface as auxiliary data for road condition analysis.
5. A roadway lighting system comprising a plurality of lighting fixtures, further comprising:
the system comprises an input module, a detection module and a display module, wherein the input module is used for acquiring an image, and the image is generated by acquiring an image of a road lighting system in a detection range under a top view angle; acquiring the actual road surface brightness value of each reference position point; or when a light source with constant brightness is emitted to the sky at each reference position point, acquiring a light source brightness value of each reference position point as an actual road surface brightness value;
the processing module is connected with the input module and used for processing the image to obtain brightness data of each road illumination area and outputting a control signal for adjusting the brightness value of each illumination lamp; acquiring a gray value of each reference position point in the image as a relative road surface brightness value; calculating to obtain the corresponding relation between the actual road surface brightness value and the relative road surface brightness value of each reference position point; calculating to obtain the relative road surface brightness value of each other point in the image according to the difference of the gray value between each reference position point and each other point in the image, and obtaining the actual road surface brightness value of each other point through the corresponding relation; outputting the brightness value of each lighting lamp for enabling the lighting brightness in the detection range to meet the dimming requirement by referring to the calculated actual road surface brightness value of each position point;
and the dimming module is respectively connected with the processing module and the lighting circuit of each lighting lamp and is used for adjusting the brightness of the corresponding lighting lamp according to each control signal.
6. The roadway lighting system of claim 5, further comprising: and the image acquisition module is connected with the input module and is used for acquiring images of the road lighting system in the detection range under the overlooking visual angle and generating images.
7. The roadway lighting system of claim 6, wherein the image acquisition module comprises: drones, and/or satellites.
8. The roadway lighting system of claim 5, wherein the reference location point is disposed outside of a roadway lighting area of the roadway lighting system.
9. The roadway lighting system of claim 5, wherein the individual roadway lighting zone brightness data is used as auxiliary data for road condition analysis.
10. The roadway lighting system of claim 9, further comprising: and the road condition analysis module is connected with the processing module and used for receiving the brightness data of the road illumination areas sent by the processing module so as to be used as auxiliary data of road condition analysis to analyze the road condition.
11. The roadway lighting system of claim 9, further comprising: and the output port module is connected with the processing module and used for receiving the brightness data of each road illumination area sent by the processing module and sending the brightness data to external equipment so that the external equipment can use the brightness data of each road illumination area as auxiliary data and analyze road conditions.
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|---|---|---|---|---|
| CN110099499B (en) * | 2019-04-30 | 2021-02-02 | 福建睿思特科技股份有限公司 | Wisdom urban traffic lighting control system |
| CN115412677B (en) * | 2021-05-27 | 2023-07-25 | 上海三思电子工程有限公司 | Lamp spectrum determining and acquiring method, related equipment and medium |
| CN116704355B (en) * | 2023-08-04 | 2023-11-03 | 浙江大云物联科技有限公司 | Illuminance detection method and device for aerial photographing road illumination |
| CN117522633B (en) * | 2023-12-29 | 2024-03-19 | 宝德照明集团有限公司 | Management system based on wisdom street lamp cloud platform |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104144537A (en) * | 2013-05-08 | 2014-11-12 | 株式会社理光 | Intelligent lighting control method, device and system |
| CN104284493A (en) * | 2014-10-23 | 2015-01-14 | 南京信必达智能技术有限公司 | Intelligent illuminating method and system based on image perception |
| CN104470139A (en) * | 2014-12-11 | 2015-03-25 | 大连海事大学 | Tunnel lighting closed-loop feedback control method and system |
| CN104822196A (en) * | 2015-04-15 | 2015-08-05 | 常州大学 | Automatic adjusting system for street lamp brightness based on vision technology |
| CN105282947A (en) * | 2015-12-01 | 2016-01-27 | 大连海事大学 | Energy-saving intelligent control system of tunnel illuminating lamp based on monitoring images |
| CN105472844A (en) * | 2015-12-07 | 2016-04-06 | 重庆多邦科技股份有限公司 | Streetlamp control method and apparatus |
| CN205179442U (en) * | 2015-09-18 | 2016-04-20 | 中国计量学院 | Tunnel self -adaptation lighting device based on image processing |
-
2017
- 2017-04-11 CN CN201710232843.8A patent/CN108696960B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104144537A (en) * | 2013-05-08 | 2014-11-12 | 株式会社理光 | Intelligent lighting control method, device and system |
| CN104284493A (en) * | 2014-10-23 | 2015-01-14 | 南京信必达智能技术有限公司 | Intelligent illuminating method and system based on image perception |
| CN104470139A (en) * | 2014-12-11 | 2015-03-25 | 大连海事大学 | Tunnel lighting closed-loop feedback control method and system |
| CN104822196A (en) * | 2015-04-15 | 2015-08-05 | 常州大学 | Automatic adjusting system for street lamp brightness based on vision technology |
| CN205179442U (en) * | 2015-09-18 | 2016-04-20 | 中国计量学院 | Tunnel self -adaptation lighting device based on image processing |
| CN105282947A (en) * | 2015-12-01 | 2016-01-27 | 大连海事大学 | Energy-saving intelligent control system of tunnel illuminating lamp based on monitoring images |
| CN105472844A (en) * | 2015-12-07 | 2016-04-06 | 重庆多邦科技股份有限公司 | Streetlamp control method and apparatus |
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