Street lamp intelligent control device based on AI
By introducing AI processor and MCU main control module into the street light control device, combining cameras and 4G wireless modules, accurate identification and control of pedestrians or vehicles is achieved, and error triggering and energy waste in existing street light control technology is solved. Problem, significantly improving energy-saving effects.
Patent Information
- Application Number
- CN202420717996.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-04-09
- Publication Date
- 2024-12-20
- Estimated Expiration
- 2034-04-09
AI Technical Summary
The existing street light control technology has shortcomings in energy saving, especially when identifying pedestrians or vehicles, which is prone to accidental triggering, resulting in waste of energy and poor camera recognition in dark environments.
Design an AI-based intelligent street light control device, including a street light control module, an AC/DC conversion module and an MCU main control module. The front end is connected to the AI processor and the camera, and the camera input is image-processed through the AI processor, combining with 4G wireless mode Group and local wireless connection modules to achieve accurate street light control.
The image processing of the AI processor ensures the accuracy of recognition. The MCU main control module controls street light switches and power adjustment, achieving more accurate lighting and better energy saving effects, avoiding unnecessary energy waste.
Smart Images
Figure CN222216005U_ABST
Abstract
Description
Technical Field
[0001] The utility model relates to the technical field of Internet of Things, and in particular to an AI-based intelligent street lamp control device. Background Art
[0002] There are a large number of street lights on the road. If they are turned on for a long time at night, it will cause a huge waste of energy. In order to save energy, technicians currently use wind energy and solar energy to power street lights. Some also use voice control or infrared sensing to control. When sound or heat source is detected, the street lights are turned on, and when no sound or heat source is detected, the street lights are turned off. However, whether pedestrians or vehicles pass by on the road, or trees on the roadside are blown by the wind, or some lightweight objects such as plastic bags are blown by the wind, they will trigger the street lights to light up. With the advancement of technology, cameras are also used for recognition. However, it is still difficult for cameras to identify clearly in dark environments, resulting in recognition errors. For this reason, it is necessary to design a new street light control method to make street light control more accurate and achieve better energy-saving effects. Utility Model Content
[0003] The technical problem to be solved by the utility model is to overcome the deficiencies of the prior art and provide an AI-based street lamp intelligent control device with simple structure, precise control and good street lamp energy-saving effect.
[0004] The technical solution adopted by the utility model is that the utility model includes a street light control and AC / DC conversion module and an MCU main control module. The front end of the MCU main control module is connected to an AI processor, and the front end of the AI processor receives the input of an external camera. The MCU main control module is also connected to a 4G wireless module, and a local wireless connection module is provided on the MCU main control module. The street light control and AC / DC conversion module is communicatively connected with the MCU main control module, the MCU main control module and the AI processor communicate with each other, and the MCU main control module and the 4G wireless module communicate with each other. The street light control and AC / DC conversion module supplies power to the MCU main control module, the AI processor and the 4G wireless module.
[0005] Furthermore, the MCU main control module and the AI processor are connected in communication using a BUS protocol, the street light control and AC / DC conversion module and the MCU main control module are connected using a BUS or GPIO protocol, and the MCU main control module and the 4G wireless module are connected using a Uart or USB interface.
[0006] In addition, the street light control and AC / DC conversion module accepts external AC input. The street light control and AC / DC conversion module is provided with an AC / DC conversion circuit, a current and voltage sampling circuit, a PWM control circuit and a switch control circuit. The AC / DC conversion circuit converts the external AC input into DC to power the entire AI-based street light intelligent control device. The current and voltage sampling circuit collects the current and voltage values of the street light. The PWM control circuit controls and adjusts the power output to the street light. The switch control circuit controls the on and off of the street light.
[0007] Specifically, the AC / DC conversion circuit realizes AC to DC conversion through a power supply module with model LS10-13B12R3P, the current and voltage sampling circuit includes a voltage signal sampling circuit and a current signal sampling circuit, the voltage signal sampling circuit realizes sampling through a mutual inductor, and the current signal sampling circuit realizes sampling through a current sensor, the switch control circuit uses a relay to realize the on-off control of the street lamp, and the PWM control circuit realizes power control through an amplifier.
[0008] More specifically, the MCU main control module adopts a main control model of ESP32, and the AI processor adopts a chip model of K210, K230 or STM32.
[0009] The beneficial effects of the utility model are as follows: compared with the prior art, the utility model is combined with a camera and an AI processor is added. The image taken by the camera is processed by the AI processor to ensure the accuracy of the image information obtained by the camera. The image signal processed by AI is output to the MCU main control module. When the MCU main control module recognizes that a pedestrian or a vehicle passes under a street lamp, the MCU main control module sends a control signal to the street lamp control and AC / DC conversion module. The switch control circuit and PWM control circuit of the street lamp control and AC / DC conversion module output sufficient power of electric energy to the street lamp, so that the street lamp is powered on and emits light of sufficient illumination to illuminate the pedestrians or vehicles; when the camera does not detect that a pedestrian or a vehicle passes under the street lamp, the MCU main control module does not send a control signal to the street lamp control and AC / DC conversion module, and the street lamp control and AC / DC conversion module maintain the current low power consumption state; therefore, the utility model has a simple structure, precise control, and good street lamp energy-saving effect. BRIEF DESCRIPTION OF THE DRAWINGS
[0010] Figure 1 It is a device block diagram of the utility model;
[0011] Figure 2 is a schematic diagram of the AC / DC conversion circuit;
[0012] Figure 3is a schematic diagram of the current and voltage sampling circuit and the switch control circuit;
[0013] Figure 4 is a schematic diagram of the current signal sampling circuit;
[0014] Figure 5 is a schematic diagram of the PWM control circuit;
[0015] Figure 6 It is the schematic diagram of the MCU main control module;
[0016] Figure 7 It is a schematic diagram of a part of the 4G wireless module;
[0017] Figure 8 is a schematic diagram of another part of the 4G wireless module;
[0018] Fig. 9 This is the schematic diagram of the camera input interface;
[0019] Fig.10 It is a schematic diagram of the AI processor. DETAILED DESCRIPTION
[0020] like Figures 1 to 10 As shown, the utility model is installed on a PCB board, and it includes a street light control and AC / DC conversion module 1 and an MCU main control module 2. The front end of the MCU main control module 2 is connected to an AI processor 3, and the front end of the AI processor 3 receives the input of an external camera. The MCU main control module 2 is also connected to a 4G wireless module 4, and the MCU main control module 2 is provided with a local wireless connection module. The street light control and AC / DC conversion module 1 is connected to the MCU main control module 2 for mutual communication, and the MCU main control module 2 and the AI processor 3 communicate with each other. The MCU main control module 2 and the 4G wireless module 4 communicate with each other, and the street light control and AC / DC conversion module 1 is used to power the MCU main control module 2, the AI processor 3 and the 4G wireless module 4. Specifically, the MCU main control module 2 adopts a main control of model ESP32, and the AI processor 3 adopts a chip of model K210, K230 or STM32. In this embodiment, the AI processor 3 adopts a control chip of model K210. The 4G wireless module 4 communicates wirelessly with an external handheld device (such as a mobile phone) to exchange log data or other data to achieve maintenance and care of the device.
[0021] The MCU main control module 2 and the AI processor 3 are connected by communication using the BUS protocol, the street light control and AC / DC conversion module 1 and the MCU main control module 2 are connected by the BUS or GPIO protocol, and the MCU main control module 2 and the 4G wireless module 4 are connected by the Uart or USB interface.
[0022] The street light control and AC / DC conversion module 1 accepts external AC input, and is provided with an AC / DC conversion circuit, a current and voltage sampling circuit, a PWM control circuit and a switch control circuit. The AC / DC conversion circuit converts the external AC input into DC to supply power to the entire AI-based street light intelligent control device. The current and voltage sampling circuit collects the current value and voltage value of the street light. The PWM control circuit controls and adjusts the power output to the street light. The switch control circuit controls the on and off of the street light. Specifically, the AC / DC conversion circuit realizes AC to DC conversion through a power supply module of model LS10-13B12R3P. The current and voltage sampling circuit includes a voltage signal sampling circuit and a current signal sampling circuit. The voltage signal sampling circuit realizes sampling through a mutual inductor L7, and the current signal sampling circuit realizes sampling through a current sensor. The switch control circuit uses a relay K3 to realize the on and off control of the street light, and the PWM control circuit realizes power control through amplifiers U14.1 and U14.2.
[0023] In the utility model, the street light control and AC / DC conversion module 1 receives external AC input, converts it into DC through the AC / DC conversion circuit, and the DC supplies power to the entire device, including the load - the street light. The camera captures the environment under the street light, and the image is sent to the AI processor 3 for recognition and processing, and accurately confirms whether there are pedestrians or vehicles passing in the image captured by the camera. When the AI processor 3 recognizes that there are pedestrians or vehicles passing, it sends a signal to the MCU main control module 2. After receiving the signal, the MCU main control module 2 sends a control signal to the street light control and AC / DC conversion module 1. The switch control circuit of the street light control and AC / DC conversion module 1 connects to the street light power supply, and the street light is powered on; the PWM control circuit outputs sufficient power to the street light, so that the street light emits light with sufficient illumination to illuminate pedestrians or vehicles; when the camera does not detect that there are pedestrians or vehicles passing under the street light, the MCU main control module does not send a control signal to the street light control and AC / DC conversion module, and the street light control and AC / DC conversion module maintains the current low power consumption state.
[0024] Finally, it should be emphasized that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various changes and modifications. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.
Claims
1. An AI-based street lamp intelligent control device, characterized in that: The AI-based street light intelligent control device comprises a street light control and AC / DC conversion module (1) and an MCU main control module (2); the front end of the MCU main control module (2) is connected to an AI processor (3); the front end of the AI processor (3) receives input from an external camera; the MCU main control module (2) is also connected to a 4G wireless module (4); the MCU main control module (2) is provided with a local wireless connection module; the street light control and AC / DC conversion module (1) and the MCU main control module (2) are in communication connection with each other; the MCU main control module (2) and the AI processor (3) are in communication with each other; the MCU main control module (2) and the 4G wireless module (4) are in communication with each other; and the street light control and AC / DC conversion module (1) supplies power to the MCU main control module (2), the AI processor (3) and the 4G wireless module (4).
2. The AI-based street lamp intelligent control device according to claim 1 is characterized in that: The MCU main control module (2) and the AI processor (3) are connected to each other by means of a BUS protocol, the street light control and AC / DC conversion module (1) and the MCU main control module (2) are connected by means of a BUS or GPIO protocol, and the MCU main control module (2) and the 4G wireless module (4) are connected by means of a Uart or USB interface.
3. The AI-based street lamp intelligent control device according to claim 1, characterized in that: The street light control and AC / DC conversion module (1) receives external AC input. The street light control and AC / DC conversion module (1) is provided with an AC / DC conversion circuit, a current and voltage sampling circuit, a PWM control circuit and a switch control circuit. The AC / DC conversion circuit converts the external AC input into DC to supply power to the entire AI-based street light intelligent control device. The current and voltage sampling circuit collects the current value and voltage value of the street light. The PWM control circuit controls and adjusts the power output to the street light. The switch control circuit controls the on and off of the street light.
4. The AI-based street lamp intelligent control device according to claim 3 is characterized in that: The AC / DC conversion circuit realizes AC-to-DC conversion through a power supply module of model LS10-13B12R3P. The current and voltage sampling circuit includes a voltage signal sampling circuit and a current signal sampling circuit. The voltage signal sampling circuit realizes sampling through a mutual inductor (L7). The current signal sampling circuit realizes sampling through a current sensor. The switch control circuit uses a relay (K3) to realize on-off control of the street lamp. The PWM control circuit realizes power control through amplifiers (U14.1, U14.2).
5. The AI-based street lamp intelligent control device according to claim 1 is characterized in that: The MCU main control module (2) adopts a main control of model ESP32, and the AI processor (3) adopts a chip of model K210, K230 or STM32.