Distributed lamp intelligent control system based on 5G and Lora wireless networks

Abstract

The utility model provides a distributed lamp intelligent control system based on 5G and Lora wireless network, which comprises a plurality of lamp nodes, a Lora to 5G module, a 5G wireless base station, a computer terminal, a cloud server and a mobile phone terminal, and is characterized in that the plurality of lamp nodes are in wireless communication connection with the Lora to 5G module, the Lora to 5G module is in wireless communication connection with the 5G wireless base station, and the computer terminal is in wireless communication connection with the cloud server. The 5G wireless base station is connected with the cloud server through the Internet, and the cloud server is connected with the computer terminal and the mobile phone terminal through the Internet. According to the utility model, advantages of 5G communication and Lora communication are fully utilized, a distributed street lamp monitoring control Internet of Things network is constructed, environment states and working states of the lamps are detected through various sensors, and daily management of the lamps in a large area range can be realized through one server. And self-adaptive control can be carried out by detecting ambient light and the number of surrounding crowds, so that energy waste is avoided, and light pollution is reduced.

Description

Technical Field

[0001] This utility model relates to the field of lighting control technology, specifically a distributed intelligent lighting control system based on 5G and LoRa wireless networks. Background Technology

[0002] With the continuous evolution of intelligent technologies, the Internet of Things, big data, and artificial intelligence have become important cornerstones for building a modern smart society, providing a solid technological foundation for intelligent transformation in numerous fields. As an indispensable key component of urban infrastructure, intelligent streetlight systems play a multifaceted positive role in urban operation and development. They significantly enhance overall urban safety by illuminating roads for pedestrians and vehicles at night, reducing safety hazards; create a comfortable urban environment through intelligent adjustment functions, improving residents' living experience; and achieve efficient energy utilization, reduce operating costs, and promote the sustainable use of urban resources through precise energy consumption management strategies.

[0003] However, the widespread application of intelligent street lighting systems has also exposed a series of serious challenges. With the continuous expansion of urban areas and the accelerated pace of urbanization, the number of intelligent streetlights has increased exponentially, directly leading to a sharp rise in energy consumption. Simultaneously, due to the wide and dispersed distribution of streetlights, maintenance has become exceptionally arduous, requiring significant investment of manpower, resources, and time for daily inspections, troubleshooting, and repairs, which undoubtedly increases maintenance costs and management difficulty considerably. Furthermore, some intelligent streetlights, due to unreasonable design or improper technology application, have generated serious light pollution, negatively impacting residents' daily lives, physical and mental health, and the balance of the ecological environment.

[0004] In conclusion, in the context of the era of carbon neutrality, designing an intelligent management system for distributed streetlights is particularly crucial and urgent. Utility Model Content

[0005] The technical problem to be solved by this utility model is to provide a distributed intelligent control system for lighting fixtures based on 5G and LoRa wireless networks, so as to solve the problem of large workload and high difficulty in the maintenance and management of existing intelligent street light systems.

[0006] To solve the above-mentioned technical problems, the embodiments of this utility model provide the following technical solution: a distributed intelligent control system for lighting fixtures based on 5G and LoRa wireless networks, including multiple lighting fixture nodes, a LoRa to 5G module, a 5G wireless base station, a computer terminal, a cloud server, and a mobile terminal. The multiple lighting fixture nodes are wirelessly connected to the LoRa to 5G module, the LoRa to 5G module is wirelessly connected to the 5G wireless base station, the 5G wireless base station is connected to the cloud server through an Internet network, and the cloud server is connected to the computer terminal and the mobile terminal through an Internet network.

[0007] The lighting node includes a node controller and a photosensitive sensor, a temperature and humidity sensor, a human body detection module, a dust sensor, a solar power module, a positioning module, a servo control module, a lighting drive module, a voltage and current acquisition module, and a LoRa communication module electrically connected to the node controller. The output of the servo control module is mechanically connected to the solar power module, the lighting drive module is electrically connected to the voltage and current acquisition module, and the output of the lighting drive module is electrically connected to multiple lighting fixtures.

[0008] Preferably, the node controller uses an MSP430 series microcontroller.

[0009] Preferably, the temperature and humidity sensor is an SI7006 module.

[0010] Preferably, the dust sensor uses a GP2Y1010AU0F module.

[0011] Preferably, the human body detection module is an infrared sensor.

[0012] Preferably, the positioning module is a WTGPS+BD module.

[0013] Preferably, the servo control module uses a servo drive chip of model PCA9685.

[0014] Preferably, the photosensitive sensor is an AP3216C ambient light sensor.

[0015] Preferably, the voltage and current acquisition module is model DAM3059P.

[0016] Preferably, the LoRa to 5G module is an OGC300-5G industrial-grade LoRa gateway.

[0017] The beneficial effects of the above-mentioned technical solution of this utility model are as follows:

[0018] This invention fully utilizes the advantages of 5G communication (long distance, good network interconnectivity) and LoRa communication (low cost) to construct a distributed street light monitoring and control IoT network. Various sensors detect the environmental and operational status of the lights, providing data for maintenance. A single server can manage a large area of ​​lights, avoiding the need for significant manpower, resources, and time for routine inspections, troubleshooting, and repairs. Furthermore, it can adaptively control lights based on ambient light levels and the number of people in the vicinity, preventing energy waste and reducing light pollution. Attached Figure Description

[0019] Figure 1 This is a block diagram illustrating the control system principle of the distributed intelligent lighting control system based on 5G and LoRa wireless networks of this utility model.

[0020] Figure 2 This is a block diagram illustrating the principle of a lamp node in the distributed intelligent lighting control system based on 5G and LoRa wireless networks of this utility model.

[0021] Figure 3 This is a schematic diagram of the temperature and humidity sensor in the distributed intelligent lighting control system based on 5G and LoRa wireless networks of this utility model.

[0022] Figure 4 This is a schematic diagram of the ambient light sensor in the distributed intelligent lighting control system based on 5G and LoRa wireless networks of this utility model. Detailed Implementation

[0023] To make the technical problems, technical solutions and advantages of this utility model clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0024] like Figure 1 As shown, this utility model proposes a distributed intelligent control system for lighting fixtures based on 5G and LoRa wireless networks, including multiple lighting fixture nodes 1, a LoRa to 5G module 2, a 5G wireless base station 3, a computer terminal 4, a cloud server 5, and a mobile terminal 6. The multiple lighting fixture nodes 1 are wirelessly connected to the LoRa to 5G module 2, the LoRa to 5G module 2 is wirelessly connected to the 5G wireless base station 3, the 5G wireless base station 3 is connected to the cloud server 5 through an Internet network, and the cloud server 5 is connected to the computer terminal 4 and the mobile terminal 6 through an Internet network.

[0025] like Figure 2As shown, the lighting node 1 includes a node controller 11 and a photosensitive sensor 12, a temperature and humidity sensor 13, a human body detection module 14, a dust sensor 15, a solar power module 16, a positioning module 17, a servo control module 18, a lighting drive module 19, a voltage and current acquisition module 110, and a LoRa communication module 111, all electrically connected to the node controller 11. The output of the servo control module 18 is mechanically connected to the solar power module 16, the lighting drive module 19 is electrically connected to the voltage and current acquisition module 110, and the output of the lighting drive module 19 is electrically connected to multiple lighting fixtures 112.

[0026] Among them, the node controller 11 uses the MSP430 series microcontroller. The MSP430 microcontroller is a 16-bit ultra-low power mixed signal processor with a reduced instruction set (RISC) that Texas Instruments (TI) has been using since 1996.

[0027] like Figure 3 As shown, the temperature and humidity sensor 13 uses the SI7006 module. The SI7006 is a digital humidity and temperature sensor manufactured by Silicon Labs. It has a wide measurement range, with a temperature measurement range of -40℃ to +125℃ and a humidity measurement range of 0% to 100% relative humidity, meeting the temperature and humidity measurement needs in various environments. It also boasts high measurement accuracy, with a temperature measurement accuracy of ±0.4℃ and a humidity measurement accuracy of ±3%RH.

[0028] The dust sensor 15 uses the GP2Y1010AU0F module. The GP2Y1010AU0F infrared light scattering particulate matter sensor emits light from an infrared emitter to irradiate particulate matter in the air, and uses a receiver to detect the intensity of the scattered light, thereby realizing the detection of the concentration of particulate matter in the air.

[0029] like Figure 4 As shown, the photosensor 12 is an AP3216C ambient light sensor. An ambient light sensor (ALS) can monitor the light intensity of the surrounding environment in real time. When the ambient light is dim, such as at night or on a cloudy day, the lights will automatically turn on based on the low light intensity signal detected by the ALS. During the day or in well-lit conditions, the lights can remain off even if someone approaches, further enhancing energy efficiency. Outdoor streetlights and garden lights, for example, can automatically adjust their on / off state according to changes in natural light, improving energy utilization efficiency.

[0030] The human detection module 14 is an infrared sensor. Humans have a constant body temperature and radiate infrared radiation of a specific wavelength. The infrared sensor collects and focuses the infrared radiation emitted by the human body through a Fresnel lens. When someone enters the detection range, the lens focuses the infrared radiation released by the body's heat onto a pyroelectric element. This element loses its charge balance due to the change in infrared radiation, releasing charge through the pyroelectric effect. The infrared sensor converts this change in infrared radiation energy into an electrical signal, thus detecting the human body. It is relatively inexpensive, easy to install, and highly sensitive, capable of detecting human movement silently.

[0031] Positioning module 17 is a WTGPS+BD module. The WTGPS+BD module is a positioning module that combines GPS and BeiDou satellite positioning systems, enabling dual-mode positioning. It integrates both GPS and BeiDou satellite positioning systems, simultaneously receiving signals from both systems. This fully utilizes the advantages of both systems to improve positioning accuracy, reliability, and stability, achieving good positioning results in various environments and scenarios. Through comprehensive processing of multiple satellite signals, it possesses high positioning accuracy, meeting the positioning accuracy requirements of various application scenarios.

[0032] The servo control module 18 uses the PCA9685 servo driver chip. It is primarily used to control multiple servos or other PWM-driven devices and is widely used in robotics, automation equipment, model making, and other fields. It has 16 independent PWM output channels, allowing simultaneous control of up to 16 servos or other PWM-driven devices.

[0033] The lighting driver module 19 is a multi-channel relay module used to control the on / off state of multiple lighting fixtures.

[0034] The voltage and current acquisition module 110 is model DAM3059P. The DAM3059P module receives analog signals, such as voltage or current signals, from external sensors through its analog input channel. These analog signals undergo amplification and filtering by the module's internal signal conditioning circuitry to improve signal quality and stability. Then, the processed analog signals are sent to an AD converter to convert them into digital signals. Finally, the digital signals are transmitted to the controller via an RS485 communication interface.

[0035] The LoRa to 5G module 2 is the OGC300-5G industrial-grade LoRa gateway. It features a built-in high-performance industrial-grade processor, employing a Semtech high-performance 8-channel SX1302 chip, supporting 8 receivers and 1 transmitter. It has 2 Ethernet ports and 1 USB interface, allowing connection to a cloud platform via WAN or Cellular links, supporting data forwarding between LoRa terminals and the cloud platform. It provides a low-power, long-distance, multi-node terminal network data collection solution, characterized by reliability, low cost, and strong scalability. This product is specifically designed for IoT communication and applications, and can be applied to scenarios such as smart metering, smart parking, personnel positioning, farmland irrigation, and street light monitoring.

[0036] The working principle of this utility model is as follows:

[0037] Multiple lighting nodes are distributed across various application scenarios, such as urban roads, schools, industrial parks, and ports. Each node manages the intelligent control of a group or a cluster of lights based on their geographical location. Uplink data monitoring the lighting status or downlink control data is transmitted from each node via a LoRa to 5G module. This fully leverages the advantages of 5G communication (long distance, high network interconnectivity) and LoRa communication (low cost).

[0038] The on-site control of each lighting fixture node first monitors environmental data of the area through photosensitive sensors, temperature and humidity sensors, human body detection modules, and dust sensors, and collects the operating status of the lighting fixture through voltage and current acquisition modules. This data affects the performance and lifespan of the lighting fixture. For example, when the ambient light sensor detects low natural light intensity, it can automatically control the lighting fixture to turn on. Simultaneously, the ambient light sensor can also provide a steering control signal to the solar power supply (solar panels). Multiple ambient light sensors are set up and distributed in different locations. When the light intensity is high at a certain location, the controller controls the servo module to move. The servo module is mechanically connected to the solar power supply (this type of mechanical connection is existing technology), thereby controlling the fixture to turn towards the sunniest location. Furthermore, the human body detection module can detect the number of people around the lighting fixture. For example, after 10 PM, if the number of people around the lighting fixture is less than a set threshold, the controller controls the relay module to turn off the corresponding lighting fixture. Temperature and humidity sensors and dust sensors are used to detect the temperature, humidity, and dust levels on the lighting fixture. When the threshold is exceeded, a maintenance signal is sent to the city staff terminal. The positioning module is used to locate the position of the lighting fixture control node, facilitating quick access for routine maintenance.

[0039] In summary, this invention fully utilizes the advantages of 5G communication (long distance, good network interconnectivity) and LoRa communication (low cost) to construct a distributed street light monitoring and control IoT network. Various sensors detect the environmental and operational status of the lights, providing data for maintenance. A single server can manage a large area of ​​lights, avoiding the need for significant manpower, resources, and time for routine inspections, troubleshooting, and repairs. Furthermore, it can adaptively control lights based on ambient light levels and the number of people in the vicinity, preventing energy waste and reducing light pollution.

[0040] The above description is the preferred embodiment of this utility model. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this utility model, and these improvements and modifications should also be considered within the protection scope of this utility model.

Claims

1. A distributed luminaire intelligent control system based on 5G and Lora wireless network, characterized in that, The application relates to a lighting system, which comprises a plurality of lighting nodes (1), a Lora-to-5G module (2), a 5G wireless base station (3), a computer terminal (4), a cloud server (5) and a mobile phone terminal (6), wherein the plurality of lighting nodes (1) are in wireless communication connection with the Lora-to-5G module (2), the Lora-to-5G module (2) is in wireless communication connection with the 5G wireless base station (3), the 5G wireless base station (3) is connected with the cloud server (5) through an internet network, and the cloud server (5) is connected with the computer terminal (4) and the mobile phone terminal (6) through the internet network. The lighting node (1) comprises a node controller (11), a photosensitive sensor (12), a temperature and humidity sensor (13), a human body detection module (14), a dust sensor (15), a solar power module (16), a positioning module (17), a rudder control module (18), a lighting driving module (19), a voltage and current acquisition module (110) and a Lora communication module (111), wherein the output end of the rudder control module (18) is mechanically connected with the solar power module (16), the lighting driving module (19) is electrically connected with the voltage and current acquisition module (110), and the output end of the lighting driving module (19) is electrically connected with a plurality of lamps (112). 2.The 5G and Lora wireless network based distributed luminaire intelligent control system of claim 1, wherein, The node controller (11) adopts an MSP430 series single-chip microcomputer. 3.The 5G and Lora wireless network based distributed luminaire intelligent control system of claim 1, wherein, The temperature and humidity sensor (13) adopts an SI7006 module.

4. The 5G and Lora wireless network based distributed smart control system of luminaires according to claim 1, wherein, The dust sensor (15) adopts a GP2Y1010AU0F module.

5. The 5G and Lora wireless network based distributed smart control system of luminaries as claimed in claim 1 wherein, The human body detection module (14) is an infrared sensor. 6.The 5G and Lora wireless network based distributed luminaire intelligent control system of claim 1, wherein, The positioning module (17) is a WTGPS+BD module. 7.The 5G and Lora wireless network based distributed smart lighting control system of claim 1, wherein, The rudder control module (18) adopts a rudder driving chip with a model number of PCA9685. 8.The 5G and Lora wireless network based distributed luminaire intelligent control system of claim 1, wherein, The photosensitive sensor (12) is an AP3216C ambient light sensor. 9.The 5G and Lora wireless network based distributed luminaire intelligent control system of claim 1, wherein, The voltage and current acquisition module (110) has a model number of DAM3059P.

10. The 5G and Lora wireless network based distributed smart control system for luminaires according to claim 1, wherein, The Lora-to-5G module (2) is an OGC300-5G industrial-grade LoRa gateway.

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