CN113438779A - Method for triggering street lamp illumination intensity adjustment based on image - Google Patents
Method for triggering street lamp illumination intensity adjustment based on image Download PDFInfo
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- CN113438779A CN113438779A CN202110608923.5A CN202110608923A CN113438779A CN 113438779 A CN113438779 A CN 113438779A CN 202110608923 A CN202110608923 A CN 202110608923A CN 113438779 A CN113438779 A CN 113438779A
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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
- H05B47/115—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings
- H05B47/125—Controlling the light source in response to determined parameters by determining the presence or movement of objects or living beings by using cameras
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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 discloses a method for triggering street lamp illumination intensity adjustment based on an image, which comprises the following steps: acquiring and identifying image information, and judging whether a monitoring range in the image information has a suspicious object; outputting a corresponding brightness regulation requirement according to the type of the suspicious object; the method for adjusting the illumination intensity of the street lamp based on the high-order video is mainly designed for people and urban main roads with relatively large traffic flow, adopts a triggering technology based on target identification and photosensitive sensor signal fusion, can adjust the illumination according to traffic behaviors of vehicles and pedestrians, is convenient for obtaining road parking events, monitoring security and the like, and provides an effective solution for intelligent traffic.
Description
Technical Field
The invention relates to the field of intelligent control, in particular to a method for triggering street lamp illumination intensity adjustment based on an image.
Background
With the continuous development of society, the pace of economic construction is gradually accelerated, energy sources become more and more sparse, and energy conservation and emission reduction are obligations and social responsibility of people. The current smart street lamp project is an indispensable project in a smart city, and particularly, the energization based on infrastructure is more important, the existing street lamps carry out dimming on illumination brightness through parameters such as ambient light illumination and road visibility, the actual situation of urban road illumination is complex, and traffic participants such as pedestrians and vehicles appearing on a road really need illumination.
The prior art discloses that the intelligent control of the existing street lamp mainly adopts light control, time control and sound control. The light-operated street lamp determines whether the street lamp is on or off according to the intensity of light on the road, but the surface of a photosensitive element for receiving signals is easily shielded by road dust, and the signals are inaccurate; in addition, a small number of sound control and infrared sensor street lamps are provided, and the sound control lamps are mainly applied to corridor lighting and have poor sensitivity. Domestic and foreign lighting energy-saving equipment is mainly divided into two types, for example: CN205596390U proposes an LED centralized lighting management energy-saving control, in which, a centralized management platform is mainly used to uniformly reduce the voltage of the street lamps in the late night period for all the street lamps under a control box, and the brightness of the street lamps is artificially reduced to achieve the purpose of energy saving; set up the motion sensor in intelligent control panel's inside, reach the control to light through installation motion sensor to human infrared detection, reach the people and come the light bright, the people walks the effect that the lamp goes out (dark). Although the mode can realize centralized energy conservation, the service life of the lamp can be influenced by the road lamp with the lowered voltage, the lowered brightness not only influences the lighting quality when the traffic and the pedestrian flow are large, but also causes the waste of energy when no traffic flow exists. CN109587897A proposes an intelligent street lamp single-lamp energy-saving control system, and the method uses a plurality of timing energy-saving controls for a single lamp at present, a delay time is set manually during installation, and the brightness of the single street lamp is reduced after the delay time is a certain time from the time of starting the lamp, so as to achieve the purpose of energy saving. Due to the fact that the delay time is fixed, the energy-saving time period cannot be flexibly adjusted according to road condition changes of vehicles and pedestrians, and energy waste also exists. Method for producing a composite material
Aiming at the problems of single control method, low sensitivity and poor energy-saving effect commonly existing in the existing intelligent street lamp, the invention provides a method for adjusting street lamp illumination based on image triggering, which overcomes the technical defect that lighting equipment and high-level video cannot be linked in the prior art, can be used in an intelligent street lamp system, and controls the illumination intensity and the illumination angle of the street lamp through a module for intelligently acquiring images of vehicles and pedestrians by using high-level video equipment. When the photosensitive sensor detects that light is not enough, high-order video camera begins to function, when having pedestrian's vehicle activity in the camera detection range, begins to carry out image snapshot and information storage, triggers street lamp lighting controller simultaneously, reinforcing illumination brightness. On the one hand, the energy consumption of the street lamp can be reduced, on the other hand, the illumination mode can be automatically adjusted according to the road surface condition, so that resources are saved, the user experience is improved, pedestrians can be preferentially considered, the traffic safety of the pedestrians on the road is improved, the traffic accidents are reduced, and the intelligent lamp pole plays a greater role. The invention has reasonable scheme and high feasibility and is suitable for popularization and application.
Disclosure of Invention
The invention aims to solve the technical problem of resource waste caused by the fact that image acquisition equipment and a street lamp cannot be linked in the prior art.
In order to achieve the above object, the present invention provides a method for adjusting street lamp illumination intensity based on video, the method comprising:
acquiring and identifying image information, and judging whether a monitoring range in the image information has a suspicious object;
outputting a corresponding brightness regulation requirement according to the type of the suspicious object;
and sending a brightness adjusting instruction according to the brightness adjusting requirement, and completing the brightness adjustment of the street lamp.
As a further improvement of the present invention, the acquiring and identifying image information determines whether there is a suspicious object in the monitoring range in the image information;
selecting a target image in the image information and determining the coordinate of the target image;
comparing the RGB values of the pixel points of the target image coordinates in different video frames;
and when the RGB value difference of the pixel points of the continuous area on the target image is larger than a preset threshold value, determining that the image has a suspicious object.
As a further improvement of the present invention, when there is no target image in which the RGB value difference of the pixel points of the continuous region is greater than the preset threshold value in the image, it is determined that the suspicious object in the image disappears or there is no suspicious object.
As a further improvement of the present invention, the method further includes determining a category of the suspicious object, specifically determining that the suspicious object is a pedestrian through a human motion recognition algorithm of the 3D convolution residual network and the lightweight multi-scale convolution module or determining that the suspicious object is a vehicle through a vehicle detection model, and outputting a brightness adjustment requirement according to a type of the suspicious object.
As a further improvement of the present invention, the method includes, if the suspicious object is a pedestrian, issuing a first brightness adjustment instruction, and enhancing the brightness according to the brightness adjustment instruction.
And if the suspicious object is a vehicle, sending a second brightness adjusting instruction, and enhancing the brightness according to the brightness adjusting instruction.
And if the suspicious object is detected to disappear, sending a third brightness adjusting instruction, and reducing the brightness according to the brightness adjusting instruction.
The method for adjusting the illumination intensity of the street lamp based on the high-level video can acquire and identify the traffic behavior images of vehicles and pedestrians acquired by the high-level video equipment, adjust the illumination according to the identification result, facilitate the acquisition of road parking events, security monitoring and the like, and provide an effective solution for intelligent traffic.
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FIG. 1 is a method for triggering street lamp illumination intensity adjustment based on an image.
Detailed Description
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
The invention provides a method for triggering street lamp illumination intensity adjustment based on an image, which comprises the following steps: s101: acquiring and identifying image information, and judging whether a monitoring range in the image information has a suspicious object; the high-order video equipment adopted in the invention comprises a combination of a plurality of gun-type cameras or a combination of one or more of a plurality of gun-type cameras and a spherical camera.
Specifically, whether suspicious objects are specifically included in the monitoring range in the image information is judged;
selecting coordinates of a target image in a plurality of continuous adjacent video frame images;
comparing the RGB values of the pixel points of the target image coordinates in different video frames;
when the RGB value difference of pixel points of the continuous area on the target image is larger than a preset threshold value, the target image is determined to be a suspicious object, after the suspicious object is determined, the suspicious object is determined to be a pedestrian through a 3D convolution residual error network and a human body action recognition algorithm of a lightweight multi-scale convolution module, or the suspicious object is determined to be a vehicle through a vehicle detection model, and brightness adjustment is output according to the driving track of the suspicious object.
S102: outputting a corresponding brightness regulation requirement according to the type of the suspicious object; specifically, when the suspicious object is determined to be a pedestrian, the street lamp is controlled according to the master controller to achieve first brightness adjusting information output, the first brightness adjusting information output only needs to meet the illumination of normal traffic of the pedestrian, when the suspicious object is a vehicle, the street lamp is controlled according to the master controller to achieve second brightness adjusting information output, and the illumination intensity needs to be set before the second brightness adjusting information output so that the illumination intensity meets the definition of various cameras for image acquisition of the monitoring area.
S103: and sending a brightness adjusting instruction according to the brightness adjusting requirement, completing the brightness adjustment of the street lamp, and determining that the suspicious object disappears or does not exist when the target image with the pixel point RGB value difference of the continuous area larger than the preset threshold value does not exist on the image.
If the suspicious object is judged to be a vehicle, a second brightness adjusting instruction is sent, the brightness is enhanced according to the brightness adjusting instruction, if the suspicious object is detected to disappear, a third brightness adjusting instruction is sent, and the brightness is reduced according to the instruction.
The invention also discloses an intelligent street lamp pole, which comprises a main controller, high-position video equipment, a lighting device and a lamp pole, wherein the main controller is arranged in the middle of the lamp pole; the main controller is used for receiving the video information, identifying and processing the video information and sending a control instruction according to a processing result, the lighting device is used for adjusting the lighting brightness according to the control instruction output by the main controller, the lighting device and the high-order video equipment are matched to adapt to a road scene according to the technical scheme, the lighting device is adjusted according to different requirements of users, the using requirements of the users on the street lamp in a road environment are met, and the technical problems that the street lamp in the prior art is single in function and poor in road video monitoring effect are solved.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only illustrative of the present invention and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (7)
1. A method for triggering street lamp illumination intensity adjustment based on an image is characterized by comprising the following steps:
acquiring and identifying image information, and judging whether a monitoring range in the image information has a suspicious object;
outputting a corresponding brightness regulation requirement according to the type of the suspicious object;
and sending a brightness adjusting instruction according to the brightness adjusting requirement, and completing the brightness adjustment of the street lamp.
2. The method according to claim 1, wherein the obtaining and identifying image information, and determining whether there is a suspicious object in the monitoring range in the image information specifically includes;
selecting a target image in the image information and determining the coordinate of the target image;
comparing the RGB values of the pixel points of the target image coordinates in different video frames;
and when the RGB value difference of the pixel points of the continuous area on the target image is larger than a preset threshold value, determining that the image has a suspicious object.
3. The method of claim 2, wherein when there is no target image in which the difference between RGB values of pixels in the continuous region is greater than a predetermined threshold, it is determined that the suspicious object in the target image disappears or there is no suspicious object.
4. The method according to claim 3, further comprising determining a category of the suspicious object, in particular determining the suspicious object to be a pedestrian through a human motion recognition algorithm of a 3D convolution residual network and a lightweight multi-scale convolution module or determining the suspicious object to be a vehicle through a vehicle detection model, and outputting a brightness adjustment requirement according to a type of the suspicious object.
5. The method according to claim 4, wherein the method comprises issuing a first brightness adjustment instruction if the suspicious object is a pedestrian, and enhancing the brightness according to the brightness adjustment instruction.
6. The method of claim 4, wherein: and if the suspicious object is a vehicle, sending a second brightness adjusting instruction, and enhancing the brightness according to the brightness adjusting instruction.
7. The method according to any one of claims 1 to 6, wherein: and if the suspicious object is detected to disappear, sending a third brightness adjusting instruction, and reducing the brightness according to the instruction.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110608923.5A CN113438779A (en) | 2021-06-01 | 2021-06-01 | Method for triggering street lamp illumination intensity adjustment based on image |
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| CN202110608923.5A CN113438779A (en) | 2021-06-01 | 2021-06-01 | Method for triggering street lamp illumination intensity adjustment based on image |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113958797A (en) * | 2021-10-20 | 2022-01-21 | 杭州越歌科技有限公司 | Pipeline robot detection method and system, storage medium and intelligent terminal |
| CN114187723A (en) * | 2021-11-25 | 2022-03-15 | 深圳市中西视通科技有限公司 | Security monitoring method |
| CN115767842A (en) * | 2022-11-25 | 2023-03-07 | 万得福实业集团有限公司 | Intelligent lighting control method and system based on real-time environment information |
| CN117082690A (en) * | 2023-10-17 | 2023-11-17 | 深圳市帝狼光电有限公司 | Control method and system of intelligent table lamp |
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| CN107911912A (en) * | 2017-12-22 | 2018-04-13 | 温岭卓致智能科技有限公司 | A kind of LED street lamp energy efficient lighting system and method |
| CN108730863A (en) * | 2017-04-20 | 2018-11-02 | 云端智慧科技（天津）有限公司 | A kind of multifunctional intellectual lamp stand |
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2021
- 2021-06-01 CN CN202110608923.5A patent/CN113438779A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108730863A (en) * | 2017-04-20 | 2018-11-02 | 云端智慧科技（天津）有限公司 | A kind of multifunctional intellectual lamp stand |
| CN107911912A (en) * | 2017-12-22 | 2018-04-13 | 温岭卓致智能科技有限公司 | A kind of LED street lamp energy efficient lighting system and method |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113958797A (en) * | 2021-10-20 | 2022-01-21 | 杭州越歌科技有限公司 | Pipeline robot detection method and system, storage medium and intelligent terminal |
| CN114187723A (en) * | 2021-11-25 | 2022-03-15 | 深圳市中西视通科技有限公司 | Security monitoring method |
| CN115767842A (en) * | 2022-11-25 | 2023-03-07 | 万得福实业集团有限公司 | Intelligent lighting control method and system based on real-time environment information |
| CN117082690A (en) * | 2023-10-17 | 2023-11-17 | 深圳市帝狼光电有限公司 | Control method and system of intelligent table lamp |
| CN117082690B (en) * | 2023-10-17 | 2023-12-22 | 深圳市帝狼光电有限公司 | Control method and system of intelligent table lamp |
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Application publication date: 20210924 |