Street lamp brightness automatic conversion system
By integrated light sensors and human flow monitoring modules in smart street lights, the single -chip machine algorithm adjusts the brightness of the street lights, solving the problem of unable to adapt to the changes in traffic of the existing smart street lights, and achieve the effect of automatic adjustment and reduced energy consumption.
Patent Information
- Application Number
- CN202420867354.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-04-25
- Publication Date
- 2025-01-28
- Estimated Expiration
- 2034-04-25
AI Technical Summary
Existing smart street lights cannot automatically adjust the brightness according to changes in traffic, resulting in the inability to effectively adapt to the brightness needs of different time periods in extreme traffic areas, resulting in wasted resources.
A kind of automatic transformation system of the street light brightness is designed to detect natural light intensity through the light sensor, and combined with the traffic monitoring module, using the single -chip internal algorithm to adjust the brightness of the street light according to the traffic information.
The brightness of the street lights is automatically adjusted according to the size of the people, the traffic demand for people at different time periods, reducing energy consumption and preventing resources from waste of resources.
Smart Images
Figure CN222424054U_ABST
Abstract
Description
Technical Field
[0001] The utility model relates to the technical field of lighting control, in particular to an automatic brightness conversion system for street lamps. Background Art
[0002] Existing smart street lights can automatically sense the surrounding light and automatically adjust the brightness to provide convenience for users. However, for areas with extreme traffic flow, such as commercial streets, there may be a peak in traffic flow at a certain time period at night, and there may be only a few people at a certain time period. During peak traffic periods, the brightness of the street lights needs to be increased, and during periods of low traffic, the brightness of the street lights needs to be reduced to prevent waste of resources. Existing smart street lights cannot adjust the brightness of the street lights as needed to adapt to the traffic flow in different time periods. Utility Model Content
[0003] In view of the deficiencies in the prior art, the utility model provides a street lamp brightness automatic change system, which solves the problem that the existing street lamps cannot adjust and change the brightness of the street lamps as needed to adapt to the flow of people in different time periods, and has the advantage of adjusting the brightness of the street lamps according to the size of the flow of people.
[0004] In order to achieve the above purpose, the utility model provides the following technical solutions:
[0005] A street lamp brightness automatic change system includes a detection module that detects the natural light intensity of the environment and controls the lighting of the street lamp according to the natural light intensity; a pedestrian flow monitoring module that establishes an electrical connection with the detection module, and the pedestrian flow monitoring module is used to monitor and analyze the pedestrian flow in the environment and generate pedestrian flow information; the street lamp brightness automatic change system also includes a brightness adjustment module that adjusts the brightness of the street lamp according to the pedestrian flow information generated by the pedestrian flow monitoring module.
[0006] Furthermore, the brightness adjustment module includes a light intensity matching module that receives the pedestrian flow information generated by the pedestrian flow monitoring module, matches the street light intensity according to the pedestrian flow information, and generates matching information; and a brightness control module that receives the matching information generated by the light intensity matching module and adjusts the street light brightness according to the matching information.
[0007] Furthermore, the brightness control module includes a power adjustment module for adjusting the power of the street lamp LED according to the matching information generated by the light intensity matching module; and a quantity adjustment module for adjusting the quantity of the street lamp LED according to the matching information.
[0008] Furthermore, the detection module includes a photosensitive module that senses the intensity of natural light in the environment through a photosensitive sensor and generates a light intensity signal; and a switch control module that receives the light intensity signal generated by the photosensitive module and controls the turning on and off of the street lights and the conduction of the circuits in the pedestrian flow monitoring module according to the light intensity signal.
[0009] Furthermore, the crowd flow monitoring module is also used to monitor the shooting area through a camera, generate and store monitoring videos; the crowd flow monitoring module includes an image acquisition module that obtains crowd flow image information in the environment through a camera; an image processing module that receives the crowd flow image information obtained by the image acquisition module and performs analysis and processing to generate processing results; and a calculation module that analyzes the size of crowd flow in the environment according to the processing results and generates crowd flow information.
[0010] Furthermore, the detection module adopts a photosensor with model number LXD / GB5-A1DPZ.
[0011] Compared with the prior art, the utility model provides a street lamp brightness automatic conversion system, which has the following beneficial effects:
[0012] 1. The utility model detects the natural light intensity of the environment through the photosensitive sensor of the detection module. When the light intensity is weak, the LED street lamp and the single-chip microcomputer in the pedestrian flow monitoring module are powered. The pedestrian flow monitoring module monitors and analyzes the pedestrian flow in the environment to obtain pedestrian flow information of the size of the pedestrian flow. The brightness adjustment module adopts the built-in algorithm of the single-chip microcomputer to adjust and change the brightness of the street lamp according to the pedestrian flow information, which can adapt to the brightness requirements of the pedestrian flow street lamp in different time periods, not only providing convenience to people but also reducing energy consumption to a certain extent and preventing waste of resources.
[0013] 2. The calculation module of the utility model adopts a built-in algorithm to calculate the flow of people on the images processed by the image algorithm. The total number of people extracted by the image algorithm is divided by the total size of the shooting area, and the flow interval is set to determine the interval where the flow of people falls. The flow of people information with large flow of people, moderate flow of people, and small flow of people can be obtained, which is convenient for the brightness adjustment module to perform brightness adjustment changes. BRIEF DESCRIPTION OF THE DRAWINGS
[0014] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:
[0015] Figure 1 This is the principle block diagram of the automatic brightness conversion system of street lamps of the utility model;
[0016] Figure 2This is a block diagram of the principle of communication between the detection module, the human flow monitoring module and the brightness adjustment module of the utility model;
[0017] Figure 3 This is a principle block diagram of the brightness control module of the utility model.
[0018] In the figure:
[0019] 1. Detection module; 11. Photosensitive module; 12. Switch control module;
[0020] 2. Crowd flow monitoring module; 21. Image acquisition module; 22. Image processing module; 23. Calculation module;
[0021] 3. Brightness adjustment module; 31. Light intensity matching module;
[0022] 32. Brightness control module; 321. Power adjustment module; 322. Quantity adjustment module. DETAILED DESCRIPTION
[0023] The following will be combined with the drawings in the embodiments of the utility model to clearly and completely describe the technical solutions in the embodiments of the utility model. Obviously, the described embodiments are only part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments in the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.
[0024] Existing smart street lights can automatically sense the surrounding light and automatically adjust the brightness to provide convenience for users. However, in areas with extreme traffic, such as commercial streets, there may be a peak in traffic at a certain time period at night, and there may be only a few people at a certain time period. During peak traffic periods, the brightness of the street lights needs to be increased, and during periods of low traffic, the brightness of the street lights needs to be reduced to prevent waste of resources.
[0025] Please refer to Figure 1-Figure 3In order to solve the problem that the existing street lamps cannot adjust and change the brightness of the street lamps according to needs to adapt to the flow of people in different time periods, this embodiment proposes a street lamp brightness automatic change system, which detects the intensity of natural light in the environment through the photosensitive sensor of the detection module. When the light intensity is weak, the LED street lamp and the single-chip microcomputer in the human flow monitoring module are powered, and the human flow monitoring module monitors and analyzes the flow of people in the environment to obtain human flow information of the size of the human flow. The brightness adjustment module uses the built-in algorithm of the single-chip microcomputer to adjust and change the brightness of the street lamp according to the human flow information, which can adapt to the brightness requirements of the street lamps of different time periods, not only providing convenience to people but also reducing energy consumption to a certain extent, and preventing waste of resources. The detection module 1 detects the intensity of natural light in the environment and controls the turning on and off of the street lamp according to the natural light intensity. The detection module 1 uses a photosensitive sensor with model LXD / GB5-A1DPZ; the human flow monitoring module 2 establishes an electrical connection with the detection module 1 for The flow of people in the environment is monitored and analyzed to generate flow information. The flow monitoring module 2 adopts a single-chip microcomputer of model AT89S52; the brightness adjustment module 3 adjusts the brightness of the street lamp according to the flow information generated by the flow monitoring module 2. The detection module 1 detects the natural light intensity of the environment through a photosensitive sensor. When the light intensity is weak, the LED street lamp and the single-chip microcomputer in the flow monitoring module 2 are powered. The flow of people in the environment is monitored and analyzed through the flow monitoring module 2 to obtain flow information of the flow size. The brightness adjustment module 3 adopts the built-in algorithm of the single-chip microcomputer to adjust and change the brightness of the street lamp according to the flow information. When the flow of people is large, the brightness of the street lamp is the maximum brightness, when the flow of people is moderate, the brightness of the street lamp is moderate, and when the flow of people is small, the brightness of the street lamp is the minimum. The brightness of the street lamp is adjusted according to the flow of people, which can adapt to the brightness requirements of the street lamp according to the flow of people in different time periods, which not only provides convenience for people but also reduces energy consumption to a certain extent and prevents waste of resources.
[0026] The brightness adjustment module 3 includes a light intensity matching module 31 that receives the pedestrian flow information generated by the pedestrian flow monitoring module 2, matches the street light intensity according to the pedestrian flow information, and generates matching information; the brightness control module 32 receives the matching information generated by the light intensity matching module 31, and adjusts the street light brightness according to the matching information. The brightness control module 32 includes a power adjustment module 321 that adjusts the street light LED power according to the matching information generated by the light intensity matching module 31; the quantity adjustment module 322 adjusts the number of street light LEDs according to the matching information. The light intensity matching module 31 divides the light intensity into several gears according to the pedestrian flow information through a built-in algorithm. When the pedestrian flow is large, the maximum gear is turned on, when the pedestrian flow is moderate, the medium gear is turned on, and when the pedestrian flow is small, the maximum gear is turned on. Start the minimum gear, the brightness control module 32 uses the built-in algorithm, the power adjustment module 321 and the quantity adjustment module 322 to adjust the power of the LED to the maximum (full power) when the maximum gear is turned on, and adjust the number of LED lamps to all be bright; when the medium gear is turned on, the LED power is adjusted to medium (half power), and the number of LED lamps is adjusted to half of the total; when the minimum gear is turned on, the LED power is adjusted to the minimum (lowest power), and the number of LED lamps is adjusted to one-quarter of the total; other power values and the number of LED lamps can also be set according to user needs, so as to control the size of the power value and the number of LEDs to meet the brightness requirements of street lamps with different traffic flows in different time periods, and can also reduce energy consumption to a certain extent to prevent waste of resources.
[0027] The detection module 1 includes a photosensitive module 11 that senses the intensity of natural light in the environment through a photosensitive sensor and generates a light intensity signal; the switch control module 12 receives the light intensity signal generated by the photosensitive module 11, and controls the turning on and off of the street lamp and the conduction of the circuit in the pedestrian flow monitoring module 2 according to the light intensity signal. The photosensitive module 11 senses the intensity of natural light through the photosensitive sensor. When the light gets dark, the switch control module 12 uses a relay to control the conduction of the street lamp circuit and the control board of the pedestrian flow monitoring module 2. By receiving the light intensity signal sent by the photosensitive module 11, the switch control module 12 controls the turning on and off of the street lamp and turns on the monitoring function of the pedestrian flow monitoring module 2.
[0028] The crowd flow monitoring module 2 is also used to monitor the shooting area through the camera, generate and store monitoring videos. The crowd flow monitoring module 2 can not only obtain the size of the crowd flow through the camera, but also monitor the shooting area through the camera to ensure the personal safety and property safety of pedestrians; the crowd flow monitoring module 2 includes an image acquisition module 21 that obtains crowd flow image information in the environment through the camera; an image processing module 22 that receives the crowd flow image information obtained by the image acquisition module 21 and performs analysis and processing to generate processing results. The image acquisition module 21 collects crowd flow images of the shooting area through the camera, and the image processing module 22 removes crowd flow images through a mixed Gaussian model, differential operation, and median filtering. The image is processed by image processing algorithms such as noise removal and Canny algorithm to facilitate subsequent calculations; and, according to the processing results, the size of the flow of people in the environment is analyzed to generate a calculation module 23 for the flow of people information. The calculation module 23 uses a built-in algorithm to calculate the flow of people on the image processed by the image algorithm. The total number of people extracted by the image algorithm is divided by the total size of the shooting area, and the flow of people intervals are set, for example: 0~0.3, 0.3~0.5, 0.5~0.8, 0.8~1, etc. The interval where the flow of people falls is determined, and the flow of people information such as large flow of people, moderate flow of people, and small flow of people can be obtained, which is convenient for the brightness adjustment module 3 to perform brightness adjustment changes.
[0029] It should be noted that, in this article, the terms "comprises", "includes" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or apparatus that includes a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or apparatus.
[0030] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A street lamp brightness automatic change system, comprising a detection module (1) for controlling the lighting of the street lamp by detecting the natural light intensity of the environment; a human flow monitoring module (2) electrically connected to the detection module (1), the human flow monitoring module (2) being used to monitor and analyze the human flow in the environment and generate human flow information; characterized in that: The street lamp brightness automatic change system further comprises a brightness adjustment module (3) for adjusting the brightness of the street lamp according to the pedestrian flow information generated by the pedestrian flow monitoring module (2).
2. The street lamp brightness automatic change system according to claim 1, characterized in that: The brightness adjustment module (3) comprises a light intensity matching module (31) which receives the human flow information generated by the human flow monitoring module (2), matches the street light intensity according to the human flow information, and generates matching information; and a brightness control module (32) which receives the matching information generated by the light intensity matching module (31), and adjusts the street light brightness according to the matching information.
3. The street lamp brightness automatic change system according to claim 2, characterized in that: The brightness control module (32) comprises a power adjustment module (321) for adjusting the power of the street light LED according to the matching information generated by the light intensity matching module (31); and a quantity adjustment module (322) for adjusting the quantity of the street light LED according to the matching information.
4. The street lamp brightness automatic change system according to claim 1, characterized in that: The detection module (1) comprises a photosensitive module (11) which senses the intensity of natural light in the environment through a photosensitive sensor and generates a light intensity signal; and a switch control module (12) which receives the light intensity signal generated by the photosensitive module (11) and controls the turning on and off of street lights and the conduction of circuits in a pedestrian flow monitoring module (2) according to the light intensity signal.
5. The street lamp brightness automatic change system according to claim 1, characterized in that: The human flow monitoring module (2) is also used to monitor the shooting area through a camera, generate monitoring video and store it; The crowd flow monitoring module (2) comprises an image acquisition module (21) for acquiring crowd flow image information in an environment through a camera; an image processing module (22) for receiving the crowd flow image information acquired by the image acquisition module (21), analyzing and processing it, and generating a processing result; and a calculation module (23) for analyzing the crowd flow size in the environment according to the processing result and generating crowd flow information.
6. The street lamp brightness automatic change system according to claim 1, characterized in that: The detection module (1) adopts a photosensor of model LXD / GB5-A1DPZ.