Intelligent street lamp controller

Abstract

The utility model relates to a kind of intelligent street lamp controller, the input end of its electric parameter acquisition module, temperature and humidity sensor, GPS positioning module's output end is connected with the input end of MCU microprocessor, the output end of MCU microprocessor is connected with the driver of corresponding street lamp through PWM dimming circuit connection, MCU microprocessor and 4G communication module serial connection, power supply circuit converts DC 3.3-5V with commercial power voltage reduction and respectively to MCU microprocessor, electric parameter acquisition module, temperature and humidity sensor and GPS positioning module, PWM dimming circuit, 4G communication module power supply.This intelligent street lamp controller is integrated by electric parameter acquisition chip and multiple sensor cooperative control circuit, optimizes hardware structure design, realizes the remote fine monitoring control of street lamp and high reliability operation, effectively solves the problems such as monitoring, energy consumption, maintenance and safety in prior art.

Description

Technical Field

[0001] This utility model relates to the field of control technology, specifically to a smart street light controller. Background Technology

[0002] Existing urban street light control systems mostly adopt a management model that combines fixed-time switching control with manual inspection, which suffers from high energy consumption, slow response, and high maintenance costs. Furthermore, the lack of remote monitoring modules prevents real-time acquisition of key electrical parameters such as street light voltage, current, and power, resulting in inadequate leakage protection mechanisms. This not only makes it difficult to detect abnormal energy consumption in a timely manner but also poses safety hazards. In addition, the dimming function relies on simple analog signal control, failing to incorporate environmental parameters (such as temperature, humidity, and traffic flow) for dynamic adjustment, leading to energy waste. Utility Model Content

[0003] The technical problem to be solved by this utility model is to overcome the shortcomings of existing street light control systems, such as the inability to monitor street light operating parameters, high energy consumption, and inability to dim lights on demand. It provides a smart street light controller that integrates an electrical parameter acquisition chip and a multi-sensor collaborative control circuit, optimizes the hardware structure design, realizes remote and refined monitoring and control of street lights and high-reliability operation, and effectively solves the problems of monitoring, energy consumption, maintenance and safety in the existing technology.

[0004] This smart street light controller includes an MCU microprocessor, an electrical parameter acquisition module, a temperature and humidity sensor, a GPS positioning module, a PWM dimming circuit, a 4G communication module, and a power supply circuit. The outputs of the electrical parameter acquisition module, temperature and humidity sensor, and GPS positioning module are connected to the input of the MCU microprocessor. The output of the MCU microprocessor is connected to the driver of the corresponding street light via the PWM dimming circuit. The MCU microprocessor is serially connected to the 4G communication module. The power supply circuit steps down the AC power to DC 3.3-5V and supplies power to the MCU microprocessor, electrical parameter acquisition module, temperature and humidity sensor, GPS positioning module, PWM dimming circuit, and 4G communication module.

[0005] Furthermore, the MCU microprocessor uses the FM33L025 processing chip.

[0006] Furthermore, the electrical parameter acquisition module uses an RN8209C acquisition chip, which is connected to the MCU microprocessor via an I2C bus.

[0007] Furthermore, the temperature and humidity sensor is connected to the MCU microprocessor via an RS485 bus.

[0008] Furthermore, the GPS positioning module is connected to the MCU microprocessor via a UART interface.

[0009] Furthermore, the PWM dimming circuit sampling includes an MCP6002 operational amplifier and a digital-to-analog converter. The MCP6002 operational amplifier is connected to the MCU microprocessor through GPIO pins, and the output of the digital-to-analog converter is connected to the street light driver.

[0010] Furthermore, the 4G communication module adopts the EC800E module, which is connected to the MCU microprocessor through the UART0_TX, UART0_RX, and PWRKEY pins respectively.

[0011] The optimized power supply circuit includes an AC / DC conversion circuit and an overcurrent protection circuit, wherein the overcurrent protection circuit monitors the output current through a voltage comparator.

[0012] The optimization also includes an IoT platform, with the 4G communication module having a bidirectional data connection to the IoT platform.

[0013] This utility model discloses a smart street light controller that overcomes the shortcomings of existing street light control systems, such as the inability to monitor street light operating parameters, high energy consumption, and inability to adjust dimming on demand. By integrating an electrical parameter acquisition chip and a multi-sensor collaborative control circuit, and optimizing the hardware structure design, it achieves remote and refined monitoring and control of street lights and high-reliability operation, effectively solving problems related to monitoring, energy consumption, maintenance, and safety in existing technologies. Attached Figure Description

[0014] The following description, in conjunction with the accompanying drawings, further illustrates a smart street light controller according to this utility model:

[0015] Figure 1 This is a wireframe diagram illustrating the logic structure and connection principle of this smart street light controller;

[0016] Figure 2 This is a circuit diagram of the MCU microprocessor and its peripheral circuits described in this smart street light controller;

[0017] Figure 3 This is the circuit diagram of the PWM dimming circuit described in this smart street light controller;

[0018] Figure 4 This is a circuit diagram of the 4G communication module and its peripheral circuits described in this smart street light controller.

[0019] Figure 5 This is the circuit diagram of the power supply circuit described in this smart street light controller.

[0020] In the picture:

[0021] 1-MCU microprocessor, 2-Electrical parameter acquisition module, 3-Temperature and humidity sensor, 4-GPS positioning module, 5-PWM dimming circuit, 6-4G communication module, 7-Power supply circuit. Detailed Implementation

[0022] In this utility model, unless otherwise explicitly specified and limited, the terms "installation," "connection," "joining," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. For those skilled in the art, the specific meaning of the above terms in this utility model can be understood according to the specific circumstances.

[0023] In the description of this utility model, it should be understood that the terms "left", "right", "front", "rear", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this utility model and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this utility model.

[0024] The present invention will be further described below with specific embodiments, but the scope of protection of the present invention is not limited to the following embodiments.

[0025] Implementation method 1: such as Figures 1 to 5 As shown, it includes an MCU microprocessor (1), an electrical parameter acquisition module (2), a temperature and humidity sensor (3), a GPS positioning module (4), a PWM dimming circuit (5), a 4G communication module (6), and a power supply circuit (7); among which,

[0026] The outputs of the electrical parameter acquisition module 2, temperature and humidity sensor 3, and GPS positioning module 4 are connected to the input of the MCU microprocessor 1. The output of the MCU microprocessor 1 is connected to the driver of the corresponding street light via the PWM dimming circuit 5. The MCU microprocessor 1 is serially connected to the 4G communication module 6. The power supply circuit 7 steps down the mains power to DC 3.3-5V and supplies power to the MCU microprocessor 1, electrical parameter acquisition module 2, temperature and humidity sensor 3, GPS positioning module 4, PWM dimming circuit 5, and 4G communication module 6 respectively. By directly connecting multiple sensors to the physical interface of the MCU, real-time acquisition and coordinated control of street light electrical parameters, environmental data, and positioning information are achieved. Combined with the connection of the 4G communication module to the IoT platform and the dynamic signal output of the PWM dimming circuit, the technical problems of traditional systems being unable to dim on demand and remote monitoring failure are solved, and energy saving rate is improved.

[0027] Implementation method 2: such as Figures 2 to 4As shown, the MCU microprocessor 1 of this smart street light controller uses the FM33L025 processing chip. In deep sleep mode, the FM33L025 chip monitors the output voltage of the power circuit in real time to maintain low-power operation of the system. The electrical parameter acquisition module 2 uses the RN8209C acquisition chip, which is connected to the MCU microprocessor 1 via an I2C bus. With this design, the RN8209C chip collects electrical parameters such as voltage, current, power, and humidity of the street light and sends them to the MCU microprocessor via the I2C bus. The temperature and humidity sensor 3 uses the SHT30 temperature sensor, which is connected to the MCU microprocessor 1 via an RS485 bus. This design enhances signal anti-interference capabilities through the bus driver chip, ensuring stable transmission of temperature and humidity data in harsh environments. The GPS positioning module 4 is connected to the MCU microprocessor 1 via a UART interface. This design acquires latitude and longitude data at the hardware level, dynamically generates time-sharing dimming strategies, and achieves adaptive lighting control based on traffic flow in different road segments. The PWM dimming circuit 5 includes an MCP6002 operational amplifier and a digital-to-analog converter (DAC). The MCP6002 operational amplifier is connected to the MCU microprocessor 1 via GPIO pins, and the output of the DAC is connected to the street light driver. In this design, the MCP6002 operational amplifier and the DAC0832 DAC convert the PWM signal output from the MCU into a 0-10V analog dimming signal, which is then used by the street light driver to adjust the light. The 4G communication module 6 uses an EC800E module, which is connected to the MCU microprocessor 1 via UART0_TX, UART0_RX, and PWRKEY pins. In this design, the Quectel EC800E module uses GPRS 1800MHz band wireless communication to complete device parameter settings, uploading, control, and other communication functions. Furthermore, it leverages the real-time online capability of GPRS to ensure real-time interaction between the smart street light controller and the IoT cloud platform. The remaining structures and components are as described in Embodiment 1 and will not be repeated.

[0028] Implementation method 3: such as Figure 5 As shown, in this smart street light controller, the power supply circuit 7 includes an AC / DC conversion circuit and an overcurrent protection circuit. The overcurrent protection circuit monitors the output current through a voltage comparator. With this design, when the leakage current exceeds 30mA, a relay is triggered to cut off the power supply. The remaining structures and components are as described in Embodiment 1 and will not be repeated.

[0029] Implementation method 4: such as Figure 1As shown, this smart street light controller also includes an IoT platform, and the 4G communication module 6 is bidirectionally connected to the IoT platform. The 4G communication module 6 is directly connected to the IoT platform via the MQTT protocol, and the MCU microprocessor uploads the street light operating parameters in real time. The remaining structures and components are as described in Embodiment 1 and will not be described again.

[0030] During operation: After the device is powered on, the MCU microprocessor (FM33L025 chip) obtains a stable 3.3V power supply through the power module (AC / DC conversion circuit) and enters a deep sleep mode to reduce power consumption. The electrical parameter acquisition module (RN8209C chip) collects the voltage and current signals of the streetlights in real time through an external sampling circuit and transmits them to the MCU via the I2C bus; the temperature and humidity sensor sends environmental parameters to the MCU via the RS485 bus, while the GPS positioning module uploads latitude and longitude data through the UART interface. The MCU integrates the above data to generate a dynamic dimming strategy and outputs a PWM signal to the dimming module through the GPIO pin; the operational amplifier (MCP6002) in the dimming module linearly amplifies the signal and then converts it into a 0-10V analog signal through the digital-to-analog converter circuit to drive the stepless adjustment of the streetlight brightness. The 4G communication module (EC800E) connects to the MCU through the UART interface, uploads the processed data to the IoT platform via the MQTT protocol, and receives control commands issued by the platform. When the overcurrent protection circuit of the power module detects a leakage current exceeding 30mA, the voltage comparator triggers a relay to cut off the power supply and simultaneously sends an alarm message to the platform. The entire system, through multi-module hardware-level linkage and redundant communication design, achieves closed-loop management across the entire chain from data acquisition to execution control, ensuring efficient energy saving and safe operation of urban lighting.

[0031] This intelligent street light controller overcomes the shortcomings of existing street light control systems, such as the inability to monitor street light operating parameters, high energy consumption, and inability to dim lights on demand. By integrating an electrical parameter acquisition chip and a multi-sensor collaborative control circuit, and optimizing the hardware structure design, it achieves remote, refined monitoring and control of street lights and high-reliability operation, effectively solving problems related to monitoring, energy consumption, maintenance, and safety in existing technologies.

[0032] The above description illustrates the main features, basic principles, and advantages of this utility model. It will be apparent to those skilled in the art that this utility model is not limited to the details of the exemplary embodiments or examples described above, and that it can be implemented in other specific forms without departing from the spirit or basic characteristics of this utility model. Therefore, the above embodiments or examples should be considered exemplary and not restrictive. The scope of this utility model is defined by the appended claims rather than the foregoing description, and therefore all variations falling within the meaning and scope of equivalents of the claims are intended to be included within this utility model. No reference numerals in the claims should be construed as limiting the scope of the claims.

[0033] Furthermore, it should be understood that although this specification describes embodiments, not every embodiment contains only one independent technical solution. This narrative style is merely for clarity. Those skilled in the art should consider the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

Claims

1. A smart street light controller, characterized in that: It includes an MCU microprocessor (1), an electrical parameter acquisition module (2), a temperature and humidity sensor (3), a GPS positioning module (4), a PWM dimming circuit (5), a 4G communication module (6), and a power supply circuit (7); among which, The output terminals of the electrical parameter acquisition module (2), temperature and humidity sensor (3), and GPS positioning module (4) are connected to the input terminal of the MCU microprocessor (1). The output terminal of the MCU microprocessor (1) is connected to the driver of the corresponding street light via the PWM dimming circuit (5). The MCU microprocessor (1) is serially connected to the 4G communication module (6). The power supply circuit (7) steps down the mains power to DC 3.3-5V and supplies power to the MCU microprocessor (1), electrical parameter acquisition module (2), temperature and humidity sensor (3), GPS positioning module (4), PWM dimming circuit (5), and 4G communication module (6) respectively.

2. The intelligent street light controller according to claim 1, characterized in that: The MCU microprocessor (1) uses the FM33L025 processing chip.

3. The intelligent street light controller according to claim 2, characterized in that: The electrical parameter acquisition module (2) uses an RN8209C acquisition chip, which is connected to the MCU microprocessor (1) via an I2C bus.

4. The intelligent street light controller according to claim 3, characterized in that: The temperature and humidity sensor (3) is connected to the MCU microprocessor (1) via an RS485 bus.

5. The intelligent street light controller according to claim 4, characterized in that: The GPS positioning module (4) is connected to the MCU microprocessor (1) via a UART interface.

6. The intelligent street light controller according to claim 5, characterized in that: The PWM dimming circuit (5) includes an MCP6002 operational amplifier and a digital-to-analog converter. The MCP6002 operational amplifier is connected to the MCU microprocessor (1) through the GPIO pin, and the output of the digital-to-analog converter is connected to the street light driver.

7. The intelligent street light controller according to claim 6, characterized in that: The 4G communication module (6) adopts the EC800E module, which is connected to the MCU microprocessor (1) through the UART0_TX, UART0_RX and PWRKEY pins respectively.

8. The intelligent street light controller according to claim 2, characterized in that: The power supply circuit (7) includes an AC / DC conversion circuit and an overcurrent protection circuit. The overcurrent protection circuit monitors the output current through a voltage comparator.

9. The intelligent street light controller according to any one of claims 1 to 8, characterized in that: It also includes an Internet of Things (IoT) platform, and the 4G communication module (6) is bidirectionally connected to the IoT platform.

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