CN116406061A - Intelligent street lamp regulation and control method and system - Google Patents
Intelligent street lamp regulation and control method and system Download PDFInfo
- Publication number
- CN116406061A CN116406061A CN202310507883.4A CN202310507883A CN116406061A CN 116406061 A CN116406061 A CN 116406061A CN 202310507883 A CN202310507883 A CN 202310507883A CN 116406061 A CN116406061 A CN 116406061A
- Authority
- CN
- China
- Prior art keywords
- street lamp
- intelligent street
- vehicle
- pedestrian
- pedestrians
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 15
- 238000005286 illumination Methods 0.000 claims abstract description 49
- 230000001276 controlling effect Effects 0.000 claims description 29
- 230000001105 regulatory effect Effects 0.000 claims description 14
- 238000007781 pre-processing Methods 0.000 claims description 13
- 238000000605 extraction Methods 0.000 claims description 9
- 238000003707 image sharpening Methods 0.000 claims description 5
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000009469 supplementation Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- 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
-
- 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
Landscapes
- Lighting Device Outwards From Vehicle And Optical Signal (AREA)
Abstract
The invention provides a method and a system for intelligent street lamp regulation and control, and belongs to the technical field of street lamp regulation and control. Firstly, judging whether a moving object exists in a region to be detected corresponding to an intelligent street lamp; if a moving object passes through, the intelligent street lamp corresponding to the area to be detected is started, and if no moving object passes through, the intelligent street lamp is not required to be started, so that electric energy is saved. In addition, the invention judges whether the moving object comprises pedestrians according to the outlines on the images; if the mobile object comprises a pedestrian, adjusting the illumination direction of the intelligent street lamp according to the pedestrian parameters; if the moving object only comprises a moving vehicle, adjusting the illumination direction of the intelligent street lamp according to the vehicle parameters; that is, the invention gives priority to pedestrian illumination, so that the intelligent street lamp can track pedestrians and optimally illuminate the pedestrians; if only the vehicle exists, the intelligent street lamp is enabled to track the vehicle and provide optimal illumination for the vehicle, so that the problem that the street lamp cannot track and illuminate along with the moving object only in the prior art is solved.
Description
Technical Field
The invention belongs to the technical field of street lamp regulation and control, and particularly relates to an intelligent street lamp regulation and control method and system.
Background
With the continuous development of social economy, the urban scale is continuously increased, and the street lamp is taken as public infrastructure of urban illumination, is indispensible from daily life of people, and plays an immeasurable role in social security, traffic safety and urban appearance of cities. Meanwhile, whether the street lamp management and control level is advanced or not directly reflects the degree of urban modernization civilization. With the development of wireless communication technology, intelligent street lamps are developed, and the construction of a set of intelligent street lamp control system with high automation degree and high reliable operation has become an important sign for constructing modern metropolitan areas.
In the existing intelligent street lamp control, the street lamp can only be controlled to be turned on and off until the street lamp is turned on until the day is dark, and the street lamp is turned off until the morning of the next day. The street lamp has very limited functions and low utilization rate, and also causes great waste of electric resources, and meanwhile, the service life of the illuminating lamp is greatly shortened.
Disclosure of Invention
Based on the technical problems, the invention provides a method and a system for regulating and controlling intelligent street lamps, which are used for tracking pedestrians and vehicles to illuminate and guaranteeing maximum brightness power supply.
The specific technical scheme is as follows:
the invention provides a method for regulating and controlling intelligent street lamps, which comprises the following steps:
step S1: judging whether a moving object exists in a region to be detected corresponding to the intelligent street lamp; if the moving object exists in the to-be-detected area corresponding to the intelligent street lamp, starting the intelligent street lamp corresponding to the to-be-detected area, and acquiring a plurality of images in the to-be-detected area; if the moving object does not exist in the to-be-detected area corresponding to the intelligent street lamp, continuing to detect; overlapping exists between the areas to be detected formed by two adjacent intelligent street lamps;
step S2: extracting the outline of the moving object on each image;
step S3: judging whether the mobile object comprises a pedestrian or not according to the outlines on the images; if the moving object includes a pedestrian, "step S4" is performed; if the moving object includes only a moving vehicle, performing "step S5";
step S4: the illumination direction of the intelligent street lamp is adjusted according to the pedestrian parameters so as to realize that the intelligent street lamp tracks pedestrians; the pedestrian parameters comprise the total number of pedestrians, the positions of all pedestrians and the moving speed of all pedestrians;
step S5: adjusting the illumination direction of the intelligent street lamp according to the vehicle parameters so as to realize the tracking of the intelligent street lamp on the vehicle; the vehicle parameters include the speed at which each vehicle is moving.
Optionally, the adjusting the illumination direction of the intelligent street lamp according to the pedestrian parameter to realize that the intelligent street lamp tracks pedestrians specifically includes:
step S41: judging whether the total number of pedestrians is greater than 1 person; if the total number of pedestrians is equal to 1, a "step S42" is performed; if the total number of pedestrians is greater than 1, a "step S43" is performed;
step S42: controlling the intelligent street lamp to track pedestrian irradiation according to the position and the moving speed of the pedestrians;
step S43: predicting the position of each pedestrian at the next moment according to the position of each pedestrian at the previous moment and the moving speed of each pedestrian;
step S44: determining the position of the center to be adjusted according to the positions of the pedestrians at the next moment;
step S45: and controlling the intelligent street lamp to rotate according to the position of the center to be adjusted, so that the intelligent street lamp can track pedestrians.
Optionally, the adjusting the lighting direction of the intelligent street lamp according to the vehicle parameter to realize that the intelligent street lamp tracks the vehicle specifically includes:
step S51: judging whether the moving speed of each vehicle is greater than or equal to a set value; if the moving speed of each vehicle is greater than or equal to a set value, the intelligent street lamp does not need to be adjusted to rotate; if the speed at which each vehicle moves is less than the set value, step S52 is performed;
step S52: determining the number of vehicles moving at a speed less than a set value;
step S53: judging whether the number of the stations is larger than 1; if the number is greater than 1, step S55 is performed; if the number is equal to 1, step S54 is performed;
step S54: controlling the intelligent street lamp to track pedestrian irradiation according to the position and the moving speed of the vehicle;
step S55: predicting the position of each vehicle at the next moment according to the position of each vehicle at the last moment and the moving speed of each vehicle;
step S56: determining the position of the center to be adjusted according to the position of each vehicle at the next moment;
step S57: and controlling the intelligent street lamp to rotate according to the position of the center to be adjusted, so that the intelligent street lamp can track the vehicle.
Optionally, the extracting the outline of the moving object on each image specifically includes:
step S21: taking the continuous images in the region to be detected as images to be matched;
step S22: preprocessing the image to be matched to obtain a preprocessed image;
step S23: extracting edge contour points in the preprocessed image to obtain a contour point set;
step S24: and removing non-target contour points from the contour point set, and connecting the target contour points to obtain the contour of the moving object. Optionally, the preprocessing the image to be matched to obtain a preprocessed image specifically includes:
and sequentially carrying out image denoising, image sharpening and gray stretching treatment on the images to be matched to obtain a preprocessed image.
The invention also provides an intelligent street lamp regulation and control system, which comprises:
the first judging module is used for judging whether a moving object exists in the to-be-detected area corresponding to the intelligent street lamp; if the moving object exists in the to-be-detected area corresponding to the intelligent street lamp, starting the intelligent street lamp corresponding to the to-be-detected area, and acquiring a plurality of images in the to-be-detected area; if the moving object does not exist in the to-be-detected area corresponding to the intelligent street lamp, continuing to detect; overlapping exists between the areas to be detected formed by two adjacent intelligent street lamps;
the contour extraction module is used for extracting the contour of the moving object on each image;
the second judging module is used for judging whether the moving object comprises a pedestrian or not according to the outlines on the images; executing a "first regulation module" if the moving object includes a pedestrian; executing a "second regulation module" if the moving object includes only a moving vehicle;
the first regulation and control module is used for regulating the illumination direction of the intelligent street lamp according to the pedestrian parameters so as to realize that the intelligent street lamp tracks pedestrians; the pedestrian parameters comprise the total number of pedestrians, the positions of all pedestrians and the moving speed of all pedestrians;
the second regulation and control module is used for regulating the illumination direction of the intelligent street lamp according to the vehicle parameters so as to realize that the intelligent street lamp tracks the vehicle; the vehicle parameters include the speed at which each vehicle is moving.
Optionally, the first regulation module specifically includes:
the first judging unit is used for judging whether the total number of pedestrians is greater than 1 person; if the total number of pedestrians is equal to 1, a "first pedestrian tracking lighting unit" is performed; if the total number of pedestrians is greater than 1, a "pedestrian position prediction unit" is executed;
the first pedestrian tracking lighting unit is used for controlling the intelligent street lamp to track the pedestrian irradiation according to the position and the moving speed of the pedestrian;
a pedestrian position prediction unit configured to predict a position of each pedestrian at a next time according to a position of each pedestrian at a previous time and a speed at which each pedestrian moves;
the first center position to be adjusted determining unit is used for determining the center position to be adjusted according to the positions of the pedestrians at the next moment;
and the second pedestrian tracking lighting unit is used for controlling the intelligent street lamp to rotate according to the to-be-adjusted center position so as to realize that the intelligent street lamp tracks pedestrians.
Optionally, the second regulation module specifically includes:
a second judging unit for judging whether the speed of each vehicle movement is greater than or equal to a set value; if the moving speed of each vehicle is greater than or equal to a set value, the intelligent street lamp does not need to be adjusted to rotate; executing a "number calculation unit" if the speed at which each vehicle moves is smaller than a set value;
a number calculation unit for determining the number of vehicles moving at a speed smaller than a set value;
a third judging unit for judging whether the number is greater than 1; if the number is greater than 1, a "vehicle position prediction unit" is executed; if the number is equal to 1, then "first vehicle tracking lighting unit" is executed;
a first vehicle tracking lighting unit for controlling the intelligent street lamp to track pedestrian illumination according to the position and the moving speed of the vehicle;
a vehicle position prediction unit configured to predict a position of each vehicle at a next time based on a position of each vehicle at a previous time and a speed at which each vehicle moves;
the second to-be-adjusted center position determining unit is used for determining to-be-adjusted center positions according to the positions of the vehicles at the next moment;
and the second vehicle tracking lighting unit is used for controlling the intelligent street lamp to rotate according to the position of the center to be adjusted, so that the intelligent street lamp can track the vehicle.
Optionally, the contour extraction module specifically includes:
the image to be matched determining unit is used for taking the continuous images in the area to be detected as images to be matched;
the preprocessing unit is used for preprocessing the image to be matched to obtain a preprocessed image;
the contour point set determining unit is used for extracting edge contour points in the preprocessed image to obtain a contour point set;
and the contour drawing unit is used for eliminating non-target contour points from the contour point set, and connecting the target contour points to obtain the contour of the moving object.
Optionally, the preprocessing unit specifically includes:
and sequentially carrying out image denoising, image sharpening and gray stretching treatment on the images to be matched to obtain a preprocessed image.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, whether the moving object exists in the area to be detected is judged, if the moving object passes through the area to be detected, the intelligent street lamp corresponding to the area to be detected is started, and if the moving object does not pass through the area to be detected, the corresponding intelligent street lamp is not required to be started, so that compared with the scheme of always starting the street lamp at night, the electric energy is saved.
In addition, the invention judges whether the moving object comprises pedestrians according to the outlines on the images; if the mobile object comprises a pedestrian, the illumination direction of the intelligent street lamp is adjusted according to the pedestrian parameters so as to realize that the intelligent street lamp tracks the pedestrian; if the mobile object only comprises a mobile vehicle, the illumination direction of the intelligent street lamp is adjusted according to the vehicle parameters so as to realize the tracking of the intelligent street lamp on the vehicle; that is, if only pedestrians or pedestrians and vehicles exist, the pedestrian illumination is preferentially considered, so that the intelligent street lamp tracks the pedestrians and optimally illuminates the pedestrians; if only the vehicle exists, the intelligent street lamp is enabled to track the vehicle and provide optimal illumination for the vehicle, so that the problem that the street lamp cannot track and illuminate along with the moving object only in the prior art is solved.
Drawings
FIG. 1 is a flow chart of a method for controlling intelligent street lamps according to the present invention;
FIG. 2 is a diagram of a system for intelligent street lamp regulation according to the present invention.
Description of the embodiments
The invention is further described below in connection with specific embodiments and the accompanying drawings, but the invention is not limited to these embodiments.
The existing city or rural intelligent street lamp illumination belongs to unified illumination on, namely, the set time is on, the set time is off, whether pedestrians pass on city roads or rural roads or not, the intelligent street lamp is started, so that a large amount of energy sources are wasted, and particularly under the condition that power resources in China are short, the problems that energy conservation is realized and optimal illumination is realized by utilizing minimum energy consumption are urgently needed by a person skilled in the art, and the invention discloses the following specific embodiments:
example 1
As shown in fig. 1, the invention discloses a method for regulating and controlling intelligent street lamps, which comprises the following steps:
step S1: judging whether a moving object exists in a region to be detected corresponding to the intelligent street lamp; if a moving object exists in the to-be-detected area corresponding to the intelligent street lamp, starting the intelligent street lamp corresponding to the to-be-detected area, and acquiring a plurality of images in the to-be-detected area; if no moving object exists in the to-be-detected area corresponding to the intelligent street lamp, continuing to detect.
Step S2: and extracting the outline of the moving object on each image.
Step S3: judging whether the mobile object comprises a pedestrian or not according to the outlines on the images; if the moving object includes a pedestrian, "step S4" is performed; if the moving object includes only a moving vehicle, "step S5" is performed.
Step S4: the illumination direction of the intelligent street lamp is adjusted according to the pedestrian parameters so as to realize that the intelligent street lamp tracks pedestrians; the pedestrian parameters include the total number of pedestrians, the position of each pedestrian, and the speed at which each pedestrian moves.
Step S5: adjusting the illumination direction of the intelligent street lamp according to the vehicle parameters so as to realize the tracking of the intelligent street lamp on the vehicle; the vehicle parameters include the speed at which each vehicle is moving.
When walking on the road, the pedestrian is required to be irradiated by light compared with the vehicle, so that the invention takes the requirement of the pedestrian into priority, namely when the road only comprises the pedestrian or comprises the pedestrian and the vehicle, the pedestrian is preferentially taken into consideration, so that the intelligent street lamp tracks the pedestrian and the pedestrian is optimally illuminated; if only the vehicle exists, the intelligent street lamp is enabled to track the vehicle and provide optimal illumination for the vehicle, so that the problem that the street lamp cannot track and illuminate along with the moving object only in the prior art is solved.
According to the invention, whether the moving object exists in the area to be detected is judged, if the moving object passes through the area to be detected, the intelligent street lamp corresponding to the area to be detected is started, and if the moving object does not pass through the area to be detected, the corresponding intelligent street lamp is not required to be started, so that compared with the scheme of always starting the street lamp at night, the electric energy is saved.
The steps are discussed in detail below:
step S1: judging whether a moving object exists in a region to be detected corresponding to the intelligent street lamp; if a moving object exists in the to-be-detected area corresponding to the intelligent street lamp, starting the intelligent street lamp corresponding to the to-be-detected area, and acquiring a plurality of images in the to-be-detected area; if no moving object exists in the to-be-detected area corresponding to the intelligent street lamp, continuing to detect.
In this embodiment, the area to be detected is an area that can be irradiated rotationally when the intelligent streetlamp is not rotating (and is located at the zero position), and there is an overlap between the areas to be detected formed by two adjacent intelligent streetlamps, and this area is referred to as an overlap area; when the moving object moves into the overlapping area, the next intelligent street lamp is controlled to be started by the detected signal, so that uninterrupted illumination control is realized.
Further, whether the moving object exists in the to-be-detected area corresponding to the intelligent street lamp is judged, the measuring can be carried out through the radar, the measuring can also be carried out through the infrared rays, the sound control sensor and the like can also be adopted, the equipment can be arranged on the lamp post, an auxiliary device can be independently arranged, the intelligent street lamp is matched for use, the intelligent street lamp can be specifically selected according to actual requirements, and important discussion is not carried out here.
In this embodiment, the intelligent street lamp is initially located at the zero position, and the rotation maximum angle of the intelligent street lamp is- θ to +θ, and when the intelligent street lamp is controlled to illuminate and travel to the maximum rotation angle each time, the intelligent street lamp is controlled to return to the zero position point simultaneously, so that the intelligent street lamp can be adjusted rapidly and quickly, the optimal illumination to the moving object is realized, and θ can be set arbitrarily according to the actual requirement.
Further, a plurality of images in the area to be detected can be obtained, specifically, a plurality of continuous images collected by the same camera, or a plurality of images at the same time collected by different cameras can be obtained, specifically, the camera can be set according to actual requirements, and different modes for obtaining the images can be selected.
In this embodiment, the moving object may be a moving pedestrian, a moving vehicle, or other non-stationary object; the moving pedestrians specifically comprise pedestrians, such as pedestrians of riding vehicles; other non-stationary objects are moving objects other than the above-mentioned moving pedestrians and moving vehicles, and are not particularly limited.
Further, since the running speed of the vehicle is fast and the vehicle has illumination, the application takes the illumination of pedestrians into priority, and the vehicle is taken into consideration for illumination, so that the application sets priority, and firstly, whether the moving object comprises the pedestrians is judged according to the outlines on a plurality of images; if the mobile object comprises a pedestrian, the illumination direction of the intelligent street lamp is adjusted according to the pedestrian parameters so as to realize that the intelligent street lamp tracks the pedestrian; if the mobile object only comprises a mobile vehicle, adjusting the illumination direction of the intelligent street lamp according to the vehicle parameters so as to realize the tracking of the intelligent street lamp on the vehicle; when the moving object is other non-stationary object, the direction of the intelligent street lamp is not required to be adjusted, and the intelligent street lamp is directly controlled to be turned on.
Step S2: extracting the outline of the moving object on each image specifically comprises the following steps:
step S21: and taking each image in the area to be detected as an image to be matched.
Step S22: preprocessing the image to be matched to obtain a preprocessed image.
In this embodiment, image denoising, image sharpening and gray stretching are sequentially performed on the images to be matched, so as to obtain a preprocessed image. The pretreatment mode may also comprise other operation means, which are not specifically discussed herein.
Step S23: extracting edge contour points in the preprocessed image to obtain a contour point set, which specifically comprises the following steps:
step S231: and selecting the standard image with the highest matching degree with the preprocessed image from the database.
Step S232: edge contour points in the standard image and the preprocessed image are extracted respectively.
Step S233: judging whether the edge contour points in the preprocessed image meet preset requirements or not according to the edge contour points in the standard image; if the edge contour points in the preprocessed image meet the preset requirements, adding the edge contour points in the preprocessed image into a contour point set; if the edge contour points in the preprocessed image do not meet the preset requirements, the matching degree is recalculated, and the step S231 is returned, and the standard image with the highest matching degree with the preprocessed image is selected from the database again.
In this embodiment, two preset requirements are provided, where one preset requirement is that the number of edge contour points in the preprocessed image is greater than 0.8 times the number of edge contour points in the standard image and less than 1.3 times the number of edge contour points in the standard image. The other preset requirement is that the similarity between the edge contour points in the preprocessed image and the edge contour points in the standard image is within a set range, and the set range is selected according to actual requirements.
Further, when the number of edge contour points in the preprocessed image is greater than 1.3 times that of edge contour points in the standard image, the situation belongs to the situation that contour point information is increased, and at the moment, the extracted edge contour points are inaccurately identified; when the number of edge contour points in the preprocessed image is smaller than the number of edge contour points in the 0.8 times standard image, the contour points of the image to be matched are not the wanted edge contour points, so that the relation between the edge contour points in the preprocessed image and the edge contour points in the standard image is calculated, and if the number of edge contour points in the preprocessed image is larger than the number of edge contour points in the 0.8 times standard image and smaller than the number of edge contour points in the 1.3 times standard image, the edge contour points in the preprocessed image are added into the contour point set; if the above requirements are not met, it is indicated that the two contours are completely dissimilar, so that it is necessary to recalculate the matching degree between the images, and return to step S231 to reselect the standard image with the highest matching degree with the preprocessed image from the database.
Further, calculating the similarity between the edge contour points in the preprocessed image and the edge contour points in the standard image, and judging whether the similarity is in a set range or not; if the similarity is within the set range, adding edge contour points in the preprocessed image into a contour point set; if the similarity is not within the set range, it is indicated that the two contours are completely dissimilar, so that it is necessary to recalculate the matching degree between the images, and return to step S231 to reselect the standard image with the highest matching degree with the preprocessed image from the database.
Because the contour is smoothly drawn by a plurality of adjacent edge contour points, but omission or errors can exist between the two adjacent edge contour points, and a smooth curve cannot be formed, the invention adopts the following steps for improvement:
step S24: removing non-target contour points from the contour point set, and connecting the target contour points to obtain the contour of the moving object, wherein the method specifically comprises the following steps:
step S241: and selecting an (i+1) th edge contour point from the contour point set.
Step S242: judging whether the difference between the ith edge contour point and the (i+1) th edge contour point is larger than a set threshold value or not; if the extraction error is larger than the set threshold, the (i+1) th edge contour point is larger, the (i+1) th edge contour point is removed, and a step S244 is executed; if the extraction error is less than or equal to the set threshold, the (i+1) th edge contour point extraction error is indicated to be within the set range, and a step S243 is executed;
step S243: judging whether data loss exists between the ith edge contour point and the (i+1) th edge contour point; if the data is missing, performing data interpolation supplementation by adopting an interpolation method, and executing a step S244; if there is no data loss, step S244 is performed;
step S244: let i=i+1, determine if i is smaller than the set value n; if i is smaller than the set value n, step S241 is performed; and if i is greater than or equal to the set value n, taking the complementary edge contour points and the rest edge contour points as target contour points, and connecting the target contour points to obtain the contour of the moving object.
In this embodiment, the point with larger error is called a non-target contour point, the edge contour point in the set range and the edge contour point obtained by interpolation are called target contour points, the non-target contour point is removed, so that a more accurate point can be obtained, and further, the target contour point is subjected to line drawing, so that a smooth contour curve can be obtained, and whether a pedestrian or a vehicle can be more accurately identified later.
Step S4: the illumination direction of the intelligent street lamp is adjusted according to pedestrian parameters so as to realize that the intelligent street lamp tracks pedestrians, and the intelligent street lamp specifically comprises:
step S41: judging whether the total number of pedestrians is greater than 1 person; if the total number of pedestrians is equal to 1, a "step S42" is performed; if the total number of pedestrians is greater than 1, "step S43" is performed.
Step S42: and controlling the intelligent street lamp to track the pedestrian irradiation according to the position and the moving speed of the pedestrian.
Step S43: and predicting the position of each pedestrian at the next moment according to the position of each pedestrian at the last moment and the moving speed of each pedestrian.
Step S44: and determining the position of the center to be adjusted according to the positions of the pedestrians at the next moment.
Step S45: and controlling the intelligent street lamp to rotate according to the position of the center to be adjusted, so that the intelligent street lamp can track pedestrians.
In the embodiment, the intelligent street lamp is adjusted according to the number of pedestrians to track the pedestrians for optimal illumination, namely, when the number of pedestrians is only one, the intelligent street lamp is directly controlled to aim at the positions of the pedestrians, then the intelligent street lamp is controlled to adjust the street lamp according to the moving speed of the pedestrians, and further the pedestrians can be accurately tracked, so that the optimal illumination of the pedestrians is realized; when the number of pedestrians comprises a plurality of people, the optimal illumination points are searched, and then the intelligent street lamp is adjusted to aim at the optimal illumination points for illumination, so that each pedestrian can be optimally illuminated. The mode realizes that the optimal illumination of pedestrians can be ensured to the greatest extent on the basis of the same consumption of electric energy.
Step S5: the lighting direction of the intelligent street lamp is adjusted according to the vehicle parameters so as to realize that the intelligent street lamp tracks the vehicle, and the intelligent street lamp specifically comprises:
step S51: judging whether the moving speed of each vehicle is greater than or equal to a set value; if the moving speed of each vehicle is greater than or equal to a set value, the intelligent street lamp does not need to be adjusted to rotate; if the speed at which each vehicle moves is smaller than the set value, "step S52" is performed.
Step S52: the number of vehicles moving at a speed less than the set value is determined.
Step S53: judging whether the number of the stations is larger than 1; if the number is greater than 1, step S55 is performed; if the number of sets is equal to 1, "step S54" is performed.
Step S54: and controlling the intelligent street lamp to track pedestrian irradiation according to the position and the moving speed of the vehicle.
Step S55: and predicting the position of each vehicle at the next moment according to the position of each vehicle at the last moment and the moving speed of each vehicle.
Step S56: and determining the position of the center to be adjusted according to the position of each vehicle at the next moment.
Step S57: and controlling the intelligent street lamp to rotate according to the position of the center to be adjusted, so that the intelligent street lamp can track the vehicle.
In this embodiment, since the moving vehicle travels fast, the vehicle can quickly pass through the area to be detected without road congestion, so the invention needs to determine whether the moving speed of the vehicle is greater than a set value, if so, the intelligent street lamp is not required to be adjusted, and when the moving speed of the vehicle is very slow, congestion or accident may occur at this time, so the intelligent street lamp needs to be adjusted at this time; that is, when only one vehicle is involved, the vehicle may fail, so that it is necessary to directly control the intelligent street lamp to align to the vehicle position, and then control the intelligent street lamp to adjust the street lamp according to the moving speed of the vehicle, so as to accurately track the vehicle and realize optimal illumination of the vehicle; when the number of vehicles comprises a plurality of vehicles, the optimal illumination points are searched, and then the intelligent street lamp is adjusted to aim at the optimal illumination points for illumination, so that each vehicle can obtain optimal illumination. The mode realizes that the optimal illumination of the vehicle can be ensured to the greatest extent on the basis of the same consumed electric energy.
Example 2
As shown in fig. 2, the invention discloses an intelligent street lamp regulation system, which comprises:
a first judging module 201, configured to judge whether a moving object exists in a region to be detected corresponding to the intelligent street lamp; if the moving object exists in the to-be-detected area corresponding to the intelligent street lamp, starting the intelligent street lamp corresponding to the to-be-detected area, and acquiring a plurality of images in the to-be-detected area; if the moving object does not exist in the to-be-detected area corresponding to the intelligent street lamp, continuing to detect; and overlapping is formed between the areas to be detected formed by two adjacent intelligent street lamps.
The contour extraction module 202 is configured to extract a contour of the moving object on each image.
A second judging module 203, configured to judge whether the moving object includes a pedestrian according to the outlines on the multiple images; executing a "first regulation module 204" if the moving object includes a pedestrian; if the moving object includes only a moving vehicle, the "second regulation module 205" is executed.
The first regulation and control module 204 is configured to adjust an illumination direction of the intelligent street lamp according to a pedestrian parameter, so as to achieve that the intelligent street lamp tracks a pedestrian; the pedestrian parameters include the total number of pedestrians, the position of each pedestrian, and the speed at which each pedestrian moves.
The second regulation and control module 205 is configured to adjust an illumination direction of the intelligent street lamp according to a vehicle parameter, so as to implement tracking of the intelligent street lamp on the vehicle; the vehicle parameters include the speed at which each vehicle is moving.
As an alternative embodiment, the first regulation module 204 of the present invention specifically includes:
the first judging unit is used for judging whether the total number of pedestrians is greater than 1 person; if the total number of pedestrians is equal to 1, a "first pedestrian tracking lighting unit" is performed; if the total number of pedestrians is greater than 1, a "pedestrian position prediction unit" is executed.
And the first pedestrian tracking lighting unit is used for controlling the intelligent street lamp to track the pedestrian according to the position and the moving speed of the pedestrian.
And the pedestrian position prediction unit is used for predicting the position of each pedestrian at the next moment according to the position of each pedestrian at the previous moment and the moving speed of each pedestrian.
And the first to-be-adjusted center position determining unit is used for determining the to-be-adjusted center position according to the positions of the pedestrians at the next moment.
And the second pedestrian tracking lighting unit is used for controlling the intelligent street lamp to rotate according to the to-be-adjusted center position so as to realize that the intelligent street lamp tracks pedestrians.
As an alternative embodiment, the second regulation module 205 of the present invention specifically includes:
a second judging unit for judging whether the speed of each vehicle movement is greater than or equal to a set value; if the moving speed of each vehicle is greater than or equal to a set value, the intelligent street lamp does not need to be adjusted to rotate; executing a "number calculation unit" if the speed at which each vehicle moves is smaller than a set value;
and the number calculation unit is used for determining the number of the vehicles moving at a speed smaller than a set value.
A third judging unit for judging whether the number is greater than 1; if the number is greater than 1, a "vehicle position prediction unit" is executed; if the number of stations is equal to 1, the "first vehicle tracking lighting unit" is executed.
And the first vehicle tracking lighting unit is used for controlling the intelligent street lamp to track pedestrian irradiation according to the position and the moving speed of the vehicle.
And the vehicle position prediction unit is used for predicting the position of each vehicle at the next moment according to the position of each vehicle at the last moment and the moving speed of each vehicle.
The second to-be-adjusted center position determining unit is used for determining to-be-adjusted center positions according to the positions of the vehicles at the next moment;
and the second vehicle tracking lighting unit is used for controlling the intelligent street lamp to rotate according to the position of the center to be adjusted, so that the intelligent street lamp can track the vehicle.
As an optional implementation manner, the contour extraction module of the present invention specifically includes:
and the image to be matched determining unit is used for taking the continuous images in the area to be detected as images to be matched.
And the preprocessing unit is used for preprocessing the image to be matched to obtain a preprocessed image.
And the contour point set determining unit is used for extracting edge contour points in the preprocessed image to obtain a contour point set.
And the contour drawing unit is used for eliminating non-target contour points from the contour point set, and connecting the target contour points to obtain the contour of the moving object.
The same parts as those of embodiment 1 are not discussed one by one here, and specific details are shown in embodiment 1.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The intelligent street lamp regulation and control method is characterized by comprising the following steps:
step S1: judging whether a moving object exists in a region to be detected corresponding to the intelligent street lamp; if the moving object exists in the to-be-detected area corresponding to the intelligent street lamp, starting the intelligent street lamp corresponding to the to-be-detected area, and acquiring a plurality of images in the to-be-detected area; if the moving object does not exist in the to-be-detected area corresponding to the intelligent street lamp, continuing to detect; overlapping exists between the areas to be detected formed by two adjacent intelligent street lamps;
step S2: extracting the outline of the moving object on each image;
step S3: judging whether the mobile object comprises a pedestrian or not according to the outlines on the images; if the moving object includes a pedestrian, "step S4" is performed; if the moving object includes only a moving vehicle, performing "step S5";
step S4: the illumination direction of the intelligent street lamp is adjusted according to the pedestrian parameters so as to realize that the intelligent street lamp tracks pedestrians; the pedestrian parameters comprise the total number of pedestrians, the positions of all pedestrians and the moving speed of all pedestrians;
step S5: adjusting the illumination direction of the intelligent street lamp according to the vehicle parameters so as to realize the tracking of the intelligent street lamp on the vehicle; the vehicle parameters include the speed at which each vehicle is moving.
2. The intelligent street lamp regulating method according to claim 1, wherein the adjusting the illumination direction of the intelligent street lamp according to the pedestrian parameter to achieve the intelligent street lamp tracking the pedestrian specifically comprises:
step S41: judging whether the total number of pedestrians is greater than 1 person; if the total number of pedestrians is equal to 1, a "step S42" is performed; if the total number of pedestrians is greater than 1, a "step S43" is performed;
step S42: controlling the intelligent street lamp to track pedestrian irradiation according to the position and the moving speed of the pedestrians;
step S43: predicting the position of each pedestrian at the next moment according to the position of each pedestrian at the previous moment and the moving speed of each pedestrian;
step S44: determining the position of the center to be adjusted according to the positions of the pedestrians at the next moment;
step S45: and controlling the intelligent street lamp to rotate according to the position of the center to be adjusted, so that the intelligent street lamp can track pedestrians.
3. The intelligent street lamp regulating method according to claim 1, wherein the adjusting the lighting direction of the intelligent street lamp according to the vehicle parameters to realize the intelligent street lamp tracking the vehicle specifically comprises:
step S51: judging whether the moving speed of each vehicle is greater than or equal to a set value; if the moving speed of each vehicle is greater than or equal to a set value, the intelligent street lamp does not need to be adjusted to rotate; if the speed at which each vehicle moves is less than the set value, step S52 is performed;
step S52: determining the number of vehicles moving at a speed less than a set value;
step S53: judging whether the number of the stations is larger than 1; if the number is greater than 1, step S55 is performed; if the number is equal to 1, step S54 is performed;
step S54: controlling the intelligent street lamp to track pedestrian irradiation according to the position and the moving speed of the vehicle;
step S55: predicting the position of each vehicle at the next moment according to the position of each vehicle at the last moment and the moving speed of each vehicle;
step S56: determining the position of the center to be adjusted according to the position of each vehicle at the next moment;
step S57: and controlling the intelligent street lamp to rotate according to the position of the center to be adjusted, so that the intelligent street lamp can track the vehicle.
4. The intelligent street lamp regulating method according to claim 1, wherein the extracting the outline of the moving object on each image specifically comprises:
step S21: taking the continuous images in the region to be detected as images to be matched;
step S22: preprocessing the image to be matched to obtain a preprocessed image;
step S23: extracting edge contour points in the preprocessed image to obtain a contour point set;
step S24: and removing non-target contour points from the contour point set, and connecting the target contour points to obtain the contour of the moving object.
5. The intelligent street lamp regulating and controlling method according to claim 4, wherein the preprocessing the image to be matched to obtain a preprocessed image specifically comprises:
and sequentially carrying out image denoising, image sharpening and gray stretching treatment on the images to be matched to obtain a preprocessed image.
6. An intelligent street lamp regulation and control system, which is characterized in that the system comprises:
the first judging module is used for judging whether a moving object exists in the to-be-detected area corresponding to the intelligent street lamp; if the moving object exists in the to-be-detected area corresponding to the intelligent street lamp, starting the intelligent street lamp corresponding to the to-be-detected area, and acquiring a plurality of images in the to-be-detected area; if the moving object does not exist in the to-be-detected area corresponding to the intelligent street lamp, continuing to detect; overlapping exists between the areas to be detected formed by two adjacent intelligent street lamps;
the contour extraction module is used for extracting the contour of the moving object on each image;
the second judging module is used for judging whether the moving object comprises a pedestrian or not according to the outlines on the images; executing a "first regulation module" if the moving object includes a pedestrian; executing a "second regulation module" if the moving object includes only a moving vehicle;
the first regulation and control module is used for regulating the illumination direction of the intelligent street lamp according to the pedestrian parameters so as to realize that the intelligent street lamp tracks pedestrians; the pedestrian parameters comprise the total number of pedestrians, the positions of all pedestrians and the moving speed of all pedestrians;
the second regulation and control module is used for regulating the illumination direction of the intelligent street lamp according to the vehicle parameters so as to realize that the intelligent street lamp tracks the vehicle; the vehicle parameters include the speed at which each vehicle is moving.
7. The intelligent street lamp regulation system of claim 6, wherein the first regulation module specifically comprises:
the first judging unit is used for judging whether the total number of pedestrians is greater than 1 person; if the total number of pedestrians is equal to 1, a "first pedestrian tracking lighting unit" is performed; if the total number of pedestrians is greater than 1, a "pedestrian position prediction unit" is executed;
the first pedestrian tracking lighting unit is used for controlling the intelligent street lamp to track the pedestrian irradiation according to the position and the moving speed of the pedestrian;
a pedestrian position prediction unit configured to predict a position of each pedestrian at a next time according to a position of each pedestrian at a previous time and a speed at which each pedestrian moves;
the first center position to be adjusted determining unit is used for determining the center position to be adjusted according to the positions of the pedestrians at the next moment;
and the second pedestrian tracking lighting unit is used for controlling the intelligent street lamp to rotate according to the to-be-adjusted center position so as to realize that the intelligent street lamp tracks pedestrians.
8. The intelligent street lamp regulating system of claim 6, wherein the second regulating module specifically comprises:
a second judging unit for judging whether the speed of each vehicle movement is greater than or equal to a set value; if the moving speed of each vehicle is greater than or equal to a set value, the intelligent street lamp does not need to be adjusted to rotate; executing a "number calculation unit" if the speed at which each vehicle moves is smaller than a set value;
a number calculation unit for determining the number of vehicles moving at a speed smaller than a set value;
a third judging unit for judging whether the number is greater than 1; if the number is greater than 1, a "vehicle position prediction unit" is executed; if the number is equal to 1, then "first vehicle tracking lighting unit" is executed;
a first vehicle tracking lighting unit for controlling the intelligent street lamp to track pedestrian illumination according to the position and the moving speed of the vehicle;
a vehicle position prediction unit configured to predict a position of each vehicle at a next time based on a position of each vehicle at a previous time and a speed at which each vehicle moves;
the second to-be-adjusted center position determining unit is used for determining to-be-adjusted center positions according to the positions of the vehicles at the next moment;
and the second vehicle tracking lighting unit is used for controlling the intelligent street lamp to rotate according to the position of the center to be adjusted, so that the intelligent street lamp can track the vehicle.
9. The intelligent street lamp control system of claim 6, wherein the contour extraction module specifically comprises:
the image to be matched determining unit is used for taking the continuous images in the area to be detected as images to be matched;
the preprocessing unit is used for preprocessing the image to be matched to obtain a preprocessed image;
the contour point set determining unit is used for extracting edge contour points in the preprocessed image to obtain a contour point set;
and the contour drawing unit is used for eliminating non-target contour points from the contour point set, and connecting the target contour points to obtain the contour of the moving object.
10. The intelligent street lamp regulating system according to claim 9, wherein the preprocessing unit specifically comprises:
and sequentially carrying out image denoising, image sharpening and gray stretching treatment on the images to be matched to obtain a preprocessed image.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310507883.4A CN116406061A (en) | 2023-05-08 | 2023-05-08 | Intelligent street lamp regulation and control method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310507883.4A CN116406061A (en) | 2023-05-08 | 2023-05-08 | Intelligent street lamp regulation and control method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116406061A true CN116406061A (en) | 2023-07-07 |
Family
ID=87014316
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310507883.4A Pending CN116406061A (en) | 2023-05-08 | 2023-05-08 | Intelligent street lamp regulation and control method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116406061A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117156641A (en) * | 2023-09-18 | 2023-12-01 | 上海领路人科技股份有限公司 | Direct current carrier communication device based on landscape lamp light control system |
| CN118354498A (en) * | 2024-06-18 | 2024-07-16 | 慧光物联网科技(常州)有限公司 | Street lamp control method, device and storage medium |
-
2023
- 2023-05-08 CN CN202310507883.4A patent/CN116406061A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117156641A (en) * | 2023-09-18 | 2023-12-01 | 上海领路人科技股份有限公司 | Direct current carrier communication device based on landscape lamp light control system |
| CN117156641B (en) * | 2023-09-18 | 2024-03-08 | 上海领路人科技股份有限公司 | Direct current carrier communication device based on landscape lamp light control system |
| CN118354498A (en) * | 2024-06-18 | 2024-07-16 | 慧光物联网科技(常州)有限公司 | Street lamp control method, device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116406061A (en) | Intelligent street lamp regulation and control method and system | |
| CN102638013B (en) | The target image identification power transmission state monitoring system of view-based access control model attention mechanism | |
| CN103714698B (en) | Public transit vehicle passenger flow volume statistical system based on range image and method | |
| CN101702263B (en) | Pedestrian crosswalk signal lamp green wave self-adaption control system and method | |
| CN105185118B (en) | A kind of vehicles peccancy detection means and its method based on video detection | |
| CN101469985A (en) | Single-frame image detection apparatus for vehicle queue length at road junction and its working method | |
| CN102123550A (en) | Intelligent lighting control method based on architecture of Internet of Things (IOT) | |
| CN104751634A (en) | Comprehensive application method of expressway tunnel driving image acquisition information | |
| Gagliardi et al. | A smart city adaptive lighting system | |
| CN209225052U (en) | A kind of pilotless automobile drive-control system with variable headlamp | |
| CN111369584A (en) | Moving object detection method applied to urban intelligent street lamp | |
| CN109353269A (en) | A kind of pilotless automobile drive-control system with variable headlamp | |
| CN111027430A (en) | Traffic scene complexity calculation method for intelligent evaluation of unmanned vehicles | |
| CN108629971A (en) | A kind of traffic lamp control method and best speed determine method | |
| CN116056289A (en) | Method and system for compensating illumination of street lamp of Internet of things | |
| CN116723616B (en) | Light brightness control method and system | |
| CN110177417A (en) | A kind of street lamp control system and control method based on condition of road surface control | |
| CN105960080A (en) | Street lamp control method and device | |
| Maheswari et al. | Intelligent Headlights for Adapting Beam Patterns with Raspberry Pi and Convolutional Neural Networks | |
| CN117881050A (en) | Intelligent street lamp management method and device | |
| Viswanathan et al. | A model for the assessment of energy-efficient smart street lighting—a case study | |
| CN118075960A (en) | Street lamp illumination adjustment method and system based on monitoring image | |
| CN116847515B (en) | Intelligent street lamp energy-saving control system and method | |
| CN201203419Y (en) | Single frame image detection device of city road crossing vehicle queue length | |
| Mahmoud et al. | Economical and Safe Design for Low-Traffic Long-Roads Illumination Control System by Using Image Recognition |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20230707 |