Street lamp intelligent lighting system based on STM32

Abstract

The invention discloses a street lamp intelligent lighting system based on STM32. The street lamp intelligent lighting system comprises a main control unit, an environment sensing module, an infrared sensor, an ultrasonic sensor, a millimeter wave radar, an illumination sensor, a communication module, a lighting control module and a power supply and energy management module. The main control unit adopts an STM32 microcontroller and is used for data acquisition, analysis processing and control signal output; according to the STM32-based intelligent street lamp lighting system provided by the invention, accurate perception of a road environment can be realized through multi-sensor fusion and an intelligent dimming algorithm, and the lighting brightness is dynamically adjusted according to actual conditions, so that an energy-saving, efficient and safe intelligent lighting effect is achieved; the intelligent dimming and step-by-step lighting strategy can effectively reduce energy waste, and energy can be saved by more than 30% compared with traditional timing lighting; and the illumination brightness is dynamically adjusted according to the real-time traffic flow, the vehicle speed and the weather condition.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of intelligent lighting, in particular to a street lamp intelligent lighting system based on STM32. BACKGROUND

[0002] The traditional street lamp lighting system generally adopts timing control or simple light sensing control mode, which cannot intelligently adjust according to real-time environment, and is easy to cause waste of lighting energy consumption or insufficient lighting. Although the existing intelligent lighting system can adjust to a certain extent based on light and traffic flow, it is mostly based on a single sensor and cannot comprehensively consider multiple factors such as weather, traffic flow, vehicle speed, and air quality, resulting in low intelligent adjustment precision. In addition, some systems use centralized control, which has problems such as slow response speed and concentrated fault points.

[0003] Therefore, how to design an efficient, intelligent, and fast-response intelligent street lamp lighting system based on an embedded controller to achieve more accurate energy consumption control and safer road lighting is an important research direction in the current intelligent lighting technology field. SUMMARY

[0004] The purpose of the present application is to provide a street lamp intelligent lighting system based on STM32 to solve the problems raised in the background art.

[0005] In order to solve the above technical problems, the present application provides the following technical scheme: a street lamp intelligent lighting system based on STM32, comprising a main control unit, an environment perception module, a communication module, a lighting control module, and a power supply and energy management module, the main control unit adopts an STM32 microcontroller for data acquisition, analysis and processing, and output of control signals; The environment perception module includes infrared sensors, ultrasonic sensors, millimeter wave radars, light sensors, and PM2.5 sensors for detecting road pedestrian / vehicle distance, vehicle speed, light intensity, and air quality data; The communication module includes LoRa, Wi-Fi, 4G, or CAN communication units for data transmission between street lamps and between street lamps and cloud control centers; The lighting control module includes a PWM dimming drive circuit for adjusting the brightness of LED street lamps according to the control signals of the main control unit; The power supply and energy management module includes a mains power supply unit and a solar auxiliary power supply unit, and is equipped with an energy management circuit to optimize power distribution and use.

[0006] As a further technical scheme of the present application, the environment perception module includes: The infrared sensor and the ultrasonic sensor are used to detect the distance of pedestrians and vehicles; The millimeter wave radar is used to detect the vehicle speed; The light sensor is used to detect the current ambient light intensity; The PM2.5 sensor is used to detect air quality to adapt to lighting adjustment under different environmental conditions.

[0007] As a further technical solution of the application, the master control unit executes an intelligent dimming strategy, including: Adaptive dimming, dynamically adjusting the street light brightness according to light sensor data, traffic volume, vehicle speed and air quality information; Step-by-step lighting and extinguishing, when a vehicle or pedestrian is detected approaching, lighting a number of street lights in front in sequence, and adjusting the lighting range and duration according to the vehicle speed, and gradually extinguishing the rear street lights after the vehicle passes; Air quality adjustment, when the PM2.5 concentration is high, increasing the lighting brightness to improve visibility, and when the PM2.5 concentration is low, appropriately reducing the brightness to save energy.

[0008] As a further technical solution of the application, the communication module uses LoRa or CAN protocol to realize data communication between street lights, and uses Wi-Fi or 4G module for remote communication with the cloud or centralized control center.

[0009] As a further technical solution of the application, the lighting control module uses PWM dimming mode to accurately control the brightness of the LED lamp by adjusting the duty cycle.

[0010] As a further technical solution of the application, the master control unit optimizes the lighting strategy through neural network algorithm and fuzzy control algorithm to accurately adjust the lighting brightness.

[0011] As a further technical solution of the application, the system supports remote monitoring and fault diagnosis, including: Street light state monitoring, monitoring the working state of the LED lamp through the current and voltage detection circuit; Fault detection and alarm, when a lamp failure is detected, automatically reporting to the cloud management platform or maintenance personnel; Remote debugging, supporting cloud remote adjustment of lighting parameters to improve system management efficiency.

[0012] As a further technical solution of the application, the power supply and energy management module supports solar auxiliary power supply, and optimizes the ratio of mains power and solar power through energy management algorithm to improve the energy saving effect of the system.

[0013] As a further technical solution of the application, the system can be applied to urban roads, highways, community roads and other scenes requiring intelligent lighting.

[0014] Compared with the prior art, the present application has the beneficial effects that: the present application provides a street lamp intelligent lighting system based on STM32, which can realize accurate perception of road environment through multi-sensor fusion and intelligent dimming algorithm, and dynamically adjust the lighting brightness according to the actual situation, so as to achieve energy-saving, efficient and safe intelligent lighting effect, specifically: intelligent dimming and step-by-step lighting strategy can effectively reduce energy waste, and can save more than 30% energy compared with traditional timing lighting; improve road safety: dynamically adjust the lighting brightness according to real-time traffic flow, vehicle speed and weather conditions, reduce the safety hazards caused by insufficient or excessive lighting; strong environmental adaptability: can monitor air quality, weather changes and other factors in real time, and intelligently adjust the lighting strategy to improve road visibility and safety; remote monitoring and maintenance: supports cloud management, can monitor the status of street lamps in real time, improves maintenance efficiency and reduces operation cost; in summary, the system has low power consumption, high response speed and remote management capability, and is suitable for various scenes such as urban roads, highways and community roads. BRIEF DESCRIPTION OF DRAWINGS

[0015] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creative labor.

[0016] Figure 1 The system overall architecture diagram of the present application is shown in the figure. Figure 2 The system structure diagram of the present application is shown in the figure. Figure 3 The main control unit and environment perception module connection diagram of the present application is shown in the figure. Figure 4 The overall bottom view structure diagram of the present application is shown in the figure.

[0017] In the figure: 1, main control unit; 2, environment perception module; 21, infrared sensor; 22, ultrasonic sensor; 23, millimeter wave radar; 24, light sensor; 25, PM2.5 sensor; 3, communication module; 4, lighting control module; 5, power supply and energy management module. DETAILED DESCRIPTION

[0018] In order to make the technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0019] Please refer to the accompanying Figure 1 -attached Figure 4 An embodiment provided by the present application: a street lamp intelligent lighting system based on STM32, comprising a master control unit 1, the master control unit 1 is connected with an environment perception module 2, a lighting control module 4 and a communication module 3, the master control unit 1 adopts an STM32 microcontroller, used for data acquisition, analysis and processing and output control signal, the communication module 3 comprises a LoRa, Wi-Fi, 4G / 5G or CAN communication unit, used for data transmission between street lamps and between street lamps and a cloud control center, the lighting control module 4 comprises a PWM dimming driving circuit, used for adjusting the brightness of LED street lamp according to the control signal of the master control unit 1, the model of the PWM dimming module is PCA9685; the environment perception module 2 comprises an infrared sensor 21 and an ultrasonic sensor 22, the model of the infrared sensor 21 is HC-SR505, used for pedestrian detection, the model of the ultrasonic sensor 22 is HC-SR04, used for vehicle ranging; the environment perception module 2 comprises a millimeter wave radar 23 and an illumination sensor 24, the model of the millimeter wave radar 23 is HLK-LD303-24G, used for detecting vehicle driving speed, the model of the illumination sensor 24 is BH1750, used for detecting current ambient light intensity; the environment perception module 2 comprises a PM2.5 sensor 25, the model of the PM2.5 sensor 25 is GP2Y1014AU, used for detecting air quality to adapt to lighting adjustment under different environmental conditions; the master control unit 1 is electrically connected with a power supply and energy management module 5; the power supply and energy management module 5 is electrically connected to the environment perception module 2; the power supply and energy management module 5 is electrically connected to the communication module 3, the power supply and energy management module 5 comprises a mains power supply unit and a solar auxiliary power supply unit, and is equipped with an energy management circuit to optimize power distribution and use.

[0020] Working principle: when the intelligent street lamp is implemented, the master control unit 1 is installed in the street lamp control box to ensure stable operation, and the environment perception module 2 is arranged, wherein the infrared sensor 21 and the ultrasonic sensor 22 are installed on the street lamp pole in a suitable position to detect the distance of pedestrians and vehicles, the millimeter wave radar 23 is installed on the top or side of the street lamp to detect the driving speed of the vehicle, the light sensor 24 is installed on the top of the street lamp and exposed to external light to detect the current ambient light intensity, the PM2.5 sensor 25 is installed on the street lamp pole to avoid direct rain, and is used to detect air quality, and the communication module 3 is composed of LoRa, Wi-Fi, 4G or CAN communication unit according to actual needs, and is installed in the street lamp control box to ensure stable communication, the PWM dimming drive circuit in the lighting control module 4 is connected with the LED street lamp to realize brightness adjustment, the power supply and energy management module 5 is connected with the mains power supply unit and the solar auxiliary power supply unit, and is equipped with an energy management circuit to optimize power distribution and use, the intelligent light adjustment strategy is set in the master control unit 1, including adaptive light adjustment, step-by-step lighting and extinguishing, air quality adjustment and the like, the intelligent light adjustment strategy includes that the system dynamically adjusts the brightness of the street lamp according to the light sensor data, traffic flow, vehicle speed and air quality information, when a vehicle or a pedestrian is detected, the system lights a plurality of street lamps in front in turn, and adjusts the lighting range and duration according to the vehicle speed; after the vehicle passes, the system extinguishes the street lamps behind in stages, when the PM2.5 concentration is high, the system increases the lighting brightness to improve visibility; when the PM2.5 concentration is low, the system appropriately reduces the brightness to save energy, the working state of the LED lamp is monitored through the current and voltage detection circuit, and the data is uploaded to the cloud management platform, when the lamp failure is detected, the system automatically reports to the cloud management platform or the maintenance personnel, the system supports remote adjustment of lighting parameters such as brightness threshold and light adjustment speed on the cloud, improves the system management efficiency, and the master control unit 1 optimizes the parameters of the neural network algorithm and the fuzzy control algorithm according to the actual operation, to improve the accuracy and efficiency of the lighting brightness adjustment.

[0021] In the description of the present application, it should be pointed out that, unless otherwise explicitly specified and limited, the terms "installation", "connection", "connection" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integrally connected, it can be mechanical connection, or electrical connection, it can be directly connected, or indirectly connected through an intermediate medium, it can be the communication inside two elements. For ordinary skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0022] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed to multiple network units. Part or all of the modules can be selected to achieve the purposes of the embodiments according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0023] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An STM32-based street lamp intelligent lighting system, comprising a master control unit (1), an environment perception module (2), a communication module (3), a lighting control module (4) and a power supply and energy management module (5), characterized in that: The master control unit (1) adopts an STM32 microcontroller for data acquisition, analysis and processing, and output control signal; The environmental perception module (2) includes infrared sensors (21), ultrasonic sensors (22), millimeter wave radars (23), light sensors (24) and PM2.5 sensors (25) for detecting pedestrian / car distance, vehicle speed, light intensity and air quality data in the road; The communication module (3) includes LoRa, Wi-Fi, 4G or CAN communication units for data transmission between streetlights and between streetlights and cloud control center; The lighting control module (4) includes a PWM dimming drive circuit for adjusting the brightness of LED streetlights according to the control signal of the master control unit (1); The power supply and energy management module (5) includes a mains power supply unit and a solar auxiliary power supply unit, and is equipped with an energy management circuit to optimize power distribution and use.

2. The STM32-based street lamp intelligent lighting system according to claim 1, characterized in that: The environmental perception module (2) includes: Infrared sensors (21) and ultrasonic sensors (22) are used to detect the distance of pedestrians and vehicles; Millimeter wave radar (23) is used to detect vehicle speed; Light sensor (24) is used to detect the current ambient light intensity; PM2.5 sensor (25) is used to detect air quality to adapt to lighting adjustment under different environmental conditions.

3. The STM32-based intelligent street light illumination system according to claim 1, characterized in that: The master control unit (1) executes intelligent dimming strategy, including: Adaptive dimming, according to the data of light sensor (24), traffic, speed and air quality information, dynamically adjust the brightness of streetlights; Step-by-step lighting and extinguishing, when detecting the approach of vehicles or pedestrians, light up the front several streetlights in turn, and adjust the lighting range and duration according to the vehicle speed, and gradually extinguish the rear streetlights after the vehicle passes; Air quality adjustment, when PM2.5 concentration is high, increase the lighting brightness to improve visibility, when PM2.5 concentration is low, appropriately reduce the brightness to save energy.

4. The STM32-based street lamp intelligent lighting system according to claim 1, characterized in that: The communication module (3) uses LoRa or CAN protocol to realize data communication between streetlights, and uses Wi-Fi or 4G module for remote communication with cloud or centralized control center.

5. The STM32-based intelligent street light illumination system according to claim 1, characterized in that: The lighting control module (4) uses PWM dimming method to accurately control the brightness of LED lamp by adjusting duty cycle.

6. The STM32-based street lamp intelligent lighting system according to claim 3, characterized in that: The master control unit (1) optimizes the lighting strategy through neural network algorithm and fuzzy control algorithm to accurately adjust the lighting brightness.

7. The STM32-based street lamp intelligent lighting system according to claim 1, characterized in that: The system supports remote monitoring and fault diagnosis, including: Streetlight state monitoring, the working state of LED lamp is monitored by current and voltage detection circuit; Fault detection and alarm, when detecting lamp failure, automatically report to cloud management platform or maintenance personnel; Remote debugging, support cloud remote adjustment of lighting parameters, improve system management efficiency.

8. The STM32-based street lamp intelligent lighting system according to claim 1, characterized in that: The power supply and energy management module (5) supports solar auxiliary power supply, and optimizes the ratio of mains and solar power through energy management algorithm to improve the energy saving effect of the system.

9. The STM32-based street lamp intelligent lighting system according to claim 1, characterized in that: The system can be applied to urban roads, highways, community roads and other scenes that need intelligent lighting.

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