CN202949610U - A super-energy-saving intelligent street lamp control system based on cloud platform - Google Patents

Abstract

The utility model discloses an ultra-energy-saving intelligent street lamp control system based on a cloud platform, which is mainly composed of four parts: a video vehicle detector, a background server monitoring device, a centralized controller, and a node controller. The video vehicle detector monitors the road vehicle situation in real time through an image acquisition device, and the background server monitoring device sends a street lamp adjustment instruction to the centralized controller according to the vehicle flow and speed data. The centralized controller sends the street lamp adjustment instruction to the node controller, and the node controller controls the switch and brightness of the street lamp according to the street lamp adjustment instruction, thereby achieving more intelligent monitoring and management of the street lamp.

Description

A super-energy-saving intelligent street lamp control system based on cloud platform

technical field

The utility model belongs to the technical field of street lamp monitoring and management, in particular to an ultra-energy-saving smart street lamp control system based on a cloud platform.

technical background

A smart city is a new generation of information technology support and an urban form under the environment of knowledge society innovation 2.0. Smart cities use new generation information technologies such as the Internet of Things and cloud computing, as well as tools such as wikis, social networks, Fab Labs, Living Labs, and comprehensive integration methods. The application of the method realizes comprehensive and thorough perception, broadband ubiquitous interconnection, application of intelligent integration, and sustainable innovation characterized by user innovation, open innovation, mass innovation, and collaborative innovation. With the rise of the Internet empire, the integration and development of mobile technology, and the democratization of innovation, the smart city in the knowledge society environment is an advanced form of information city development after the digital city.

From the perspective of technological development, the construction of smart cities requires the realization of comprehensive perception, ubiquitous interconnection, ubiquitous computing and integrated applications through the new generation of information technology applications such as the Internet of Things and cloud computing represented by mobile technology. From the perspective of social development, smart cities also require the application of tools and methods such as wikis, social networks, Fab Labs, Living Labs, and comprehensive integration methods to realize a knowledge society characterized by user innovation, open innovation, mass innovation, and collaborative innovation. Sustainable innovation in the environment, emphasizing the realization of comprehensive and sustainable development of economy, society and environment through value creation and people-oriented.

In November 2008, at the Council on Foreign Relations held in New York, IBM proposed the concept of "Smart Earth", which triggered an upsurge of smart city construction. The European Union launched the European Living Lab organization in 2006, which uses new tools and methods, advanced information and communication technologies to mobilize "collective intelligence and creativity" in all aspects, provides opportunities for solving social problems, and launched the European Smart Cities Network.

In 2010, IBM officially put forward the vision of "Smart City", hoping to contribute to the development of cities in the world and China. After research by IBM, a city is composed of six core systems related to different types of networks, infrastructure and environment related to the main functions of the city: organization (people), business/government affairs, transportation, communication, water and energy. These systems are not fragmented but interconnected in a collaborative manner. The city itself is a macro system composed of these systems.

The "smart city" of the 21st century can make full use of information and communication technology to sense, analyze, and integrate various key information of the core system of urban operation, so as to provide comprehensive services for people's livelihood, environmental protection, public safety, urban services, and industrial and commercial activities. Make intelligent responses to various needs and create a better urban life for human beings.

With the gradual improvement of my country's urbanization level and people's living standards, it is accompanied by a large number of municipal engineering constructions, an important part of which is the laying of a large number of street lamp cables. The control of traditional street lights requires a lot of manpower and material resources, but the low monitoring efficiency produces huge waste, while the existing smart street light control is not smart enough. Although the efficiency has been improved compared with traditional methods, it still cannot meet the needs of economic development, especially in eastern cities in recent years. The peak needs to limit the power of some enterprises and institutions, which seriously restricts the construction of my country's socialist economy.

Utility model content

In order to solve the above problems, the purpose of this utility model is to provide an ultra-energy-saving intelligent street lamp control system based on cloud platform, which can realize remote centralized control of street lamps and realize intelligent adjustment according to on-site traffic flow and other conditions.

In order to achieve the above object, the technical scheme adopted by the utility model is as follows:

A cloud-based ultra-energy-saving intelligent street lamp control system for intelligent monitoring and management of street lamps, the system includes:

The image acquisition device is installed in the area where the street lamp is located to collect image data of vehicle operating conditions in the area;

The video vehicle detector is connected with the image acquisition device through a data line, and obtains traffic flow and vehicle speed data according to the image data analysis of the operating condition of the vehicle;

The background server monitoring device is connected to the video vehicle detector through a wireless or wired network, and sends a street lamp adjustment instruction to the centralized controller according to the traffic flow and speed data;

The centralized controller is connected to the background server monitoring equipment through a wireless or wired network, and sends the street lamp adjustment instruction to the node controller;

The node controller is connected with the centralized controller through power carrier communication (PLC), and controls the switch and brightness of the street lamp according to the street lamp adjustment instruction.

Further, the node controller can also collect street lamp operating status data and feed it back to the centralized controller, and the centralized controller can also feed back the street lamp operating status data to the background server monitoring device.

Further, the system also includes a first mobile control device, which is connected to the background server monitoring device through a wireless or wired network, and sends monitoring and management instructions to the centralized controller through the background server monitoring device.

Further, the system also includes a second mobile control device, which is connected to the centralized controller through a wireless or wired network, and issues monitoring and management instructions to the centralized controller.

Further, the first mobile control device and the second mobile control device are mobile phones, notebooks or tablet computers with mobile communication functions.

Further, the system also includes a photoelectric sensing device, which is connected to the centralized controller through an RS485 data line, installed in the area where the street lamp is located to collect light data in the area, and transmits to the centralized controller to adjust the street lamp in the area. brightness.

Further, the system also includes an electricity metering device, which is connected to the centralized controller through an RS485 data line, and measures the electricity of all street lamps managed by the centralized controller.

Further, the image acquisition device is a camera, and the wireless or wired network is a 2G communication network or a 3G communication network.

The utility model can realize centralized control and management of single lamps and remote street lamps, has the function of automatically adjusting the brightness of street lamps according to the traffic flow, and can also perform equipment parameter collection, fault alarm, cable anti-theft, lamp anti-theft, and automatic copying according to the system. Table, remote centralized monitoring, data statistical analysis, electronic map and other functions, thus saving a lot of manpower and material resources.

The utility model integrates the image acquisition device, the video vehicle detector, the background server monitoring equipment, the centralized controller and the node controller through the wired and wireless or wired network to form the basis of the Internet of Things, and the background server monitoring equipment realizes the monitoring of the single lamp through the Internet of Things. and remote street lights for centralized control and management. In addition, the node controller of this system can integrate video human-vehicle detectors and infrared sensors to send information such as traffic flow, vehicle speed, vehicle type, weather conditions, and surrounding image data to the monitoring equipment of the background server of the smart street lamp in real time, and integrate data with the Internet to form Cloud platform, traffic management department, meteorological department, public security department and ordinary citizens can also grasp the corresponding information in real time through the cloud platform.

Compared with the prior art, the beneficial effects of the utility model are:

1. This system adopts wireless or wired network communication technology to realize real-time control of street lights without wiring;

2. This system has the functions of automatic brightness adjustment according to traffic flow, equipment parameter collection, fault alarm, cable anti-theft, lamp anti-theft, automatic meter reading, remote centralized monitoring, data statistical analysis, electronic map and other functions;

3. This system can directly monitor the faults of street lamps, avoid manual inspections and reduce operating costs.

Therefore, the utility model is more intelligent to the monitoring and management of street lamps.

Description of drawings

Fig. 1 is a structural block diagram of the utility model.

Detailed ways

In order to fully understand the purpose, features and effects of the present invention, the idea, specific structure and technical effects of the present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

As shown in Figure 1, this embodiment discloses a super-energy-saving intelligent street lamp control system based on a cloud platform, which is used for intelligent monitoring and management of street lamps. The system includes an image acquisition device 1, a video vehicle detector 2, and a background server monitoring device 3. Centralized controller 4 , node controller 5 , first mobile control device 6 , second mobile control device 7 , photoelectric sensing device 8 , and electricity metering device 9 .

Wherein, the image collection device 1 is installed in the area where the street lamp 10 is located to collect the image data of vehicle operating conditions in the area.

Wherein, the video vehicle detector 2 is connected to the image acquisition device 1 through a data line, and the traffic flow and speed data are obtained by analyzing the image data of the vehicle operating condition.

Wherein, the background server monitoring device 3 is connected to the video vehicle detector 2 through a wireless or wired network, and sends street lamp adjustment instructions to the centralized controller 4 according to the traffic flow and speed data.

Wherein, the centralized controller 4 is connected with the background server monitoring device 3 through a wireless or wired network, and sends the street lamp adjustment instruction to the node controller 5 .

Wherein, the node controller 5 is connected with the centralized controller 4 through power carrier communication (PLC), and controls the switch and brightness of the street lamp 10 according to the street lamp adjustment instruction. The node controller 5 can also collect the running status data of the street lamp 10 and feed it back to the centralized controller 4 , and the centralized controller 4 can also feed back the running status data of the street lamp to the background server monitoring device 3 .

Wherein, the first mobile control device 6 is connected to the background server monitoring device 3 through a wireless or wired network, and sends monitoring and management instructions to the centralized controller 4 through the background server monitoring device 3 .

Wherein, the second mobile control device 7 is connected to the centralized controller 4 through a wireless or wired network, and issues monitoring and management instructions to the centralized controller 4 .

Wherein, the first mobile control device 6 and the second mobile control device 7 are mobile phones, notebooks or tablet computers with mobile communication functions.

Wherein, the photoelectric sensing device 8 is connected with the centralized controller 4 through the RS485 data line, installed in the area where the street lamp 10 is located to collect the light data of the area, and transmits to the centralized controller 4 to adjust the brightness of the street lamp in the area .

Wherein, the electricity metering device 9 is connected with the centralized controller 4 through RS485 data lines, and measures the electricity of all street lamps managed by the centralized controller 4 .

Wherein, the image acquisition device 1 is a camera, and the wireless or wired network is a 2G communication network or a 3G communication network.

When this embodiment is used, the user can send instructions to the centralized controller 4 through the background server monitoring device 3, and control the interval switch control of the centralized controller 4 circuit lamps. It can also be grouped according to the location of the street lamps, and each group can be individually controlled. (Each street lamp control is independent) Timed tasks can be issued to automatically adjust the power or switch lights of street lamps on different road sections in different time periods. Group management. The node controllers 5 under the group can be operated, and the user can perform operations such as setting the centralized controller 4 area, grouping the centralized controller 4, timing switch of the node controller 5, powering on, powering off, and dimming.

The node controller in this embodiment can mainly include the following functional circuits: AC/DC power supply part, electric meter functional circuit part, power carrier communication (PLC) coupling circuit and module part, storage part EEPROM, indicator LED display, PWM /Voltage dimming output, relay switch light control circuit, and system monitoring watchdog reset circuit, the design of the power supply part is from the mains AC 220V to DC 16V and 5V output for the base board and carrier module, due to node control The power consumption of the device is very small, no more than 3W, and the design can be simplified by using a dual-way switching power supply module.

This system is mainly composed of video vehicle detector 2, background server monitoring equipment 3, centralized controller 4, and node controller 5. The video vehicle detector 2 monitors the road conditions in real time through the camera, analyzes the video information, processes and detects road traffic flow, vehicle speed and other information, and transmits the data to the background server monitoring device 3 through the 2/3g wireless or wired network, and the background server monitors The device 3 performs policy scheduling and priority processing according to the information of street lamps and vehicles, and sends the road sections that need to be turned on/dimmed to the centralized controller 4. After the centralized controller 4 finishes processing high-priority tasks, it immediately responds to the background server monitoring device 3, The corresponding data packet is sent to the node controller 5 through the power line, and the node controller 5 responds to the command of the controller 4, detects the current state of the street lamp, and then executes an action.

Among them, the background server monitoring device 3 can assign tasks to the centralized controller 4 to manage the street lamps connected to each node controller 5, and the centralized controller 4 can also intelligently control each node controller according to the specific environmental conditions of the street lamps, so as to manage street lamps intelligently .

Wherein, the administrator manages the operation through the background server monitoring device 3, and the background server monitoring device 3 sends commands to the centralized controller 4 for processing through a wireless or wired network.

Wherein, the first mobile control device 6 logs in through the mobile device network, and forwards it to the centralized controller 4 through the background server monitoring device 3 for processing.

Wherein, the second mobile control device 7 sends instructions to the centralized controller 4 for processing through a wireless or wired network, such as SMS control and the like.

Among them, the photoelectric sensing device 8 detects the current brightness situation through the light sensor, and the centralized controller 4 detects the current system time after receiving the instruction, and performs analysis and processing.

The preferred specific embodiments of the present invention have been described in detail above, and it should be understood that those skilled in the art can make many modifications and changes according to the concept of the present invention without creative work. Therefore, all technical solutions that can be obtained by those skilled in the art based on the concept of the present invention through logical analysis, reasoning or limited experiments on the basis of the prior art should be within the scope of protection defined by the claims.

Claims (8)

1. A cloud platform-based ultra-energy-saving smart street lamp control system for intelligent monitoring and management of street lamps, characterized in that the system includes: The image acquisition device is installed in the area where the street lamp is located to collect image data of vehicle operating conditions in the area; The video vehicle detector is connected with the image acquisition device through a data line, and obtains traffic flow and vehicle speed data according to the image data analysis of the operating condition of the vehicle; The background server monitoring device is connected to the video vehicle detector through a wireless or wired network, and sends a street lamp adjustment instruction to the centralized controller according to the traffic flow and speed data; The centralized controller is connected to the background server monitoring equipment through a wireless or wired network, and sends the street lamp adjustment instruction to the node controller; The node controller is connected with the centralized controller through power carrier communication (PLC), and controls the switch and brightness of the street lamp according to the street lamp adjustment instruction. 2. The ultra-energy-saving smart street lamp control system based on cloud platform according to claim 1, characterized in that: The node controller can also collect street lamp operating status data and feed it back to the centralized controller, and the centralized controller can also feed back the street lamp operating status data to the background server monitoring device. 3. The cloud platform-based ultra-energy-saving smart street lamp control system according to claim 1, characterized in that the system also includes: The first mobile control device is connected to the background server monitoring device through a wireless or wired network, and sends monitoring and management instructions to the centralized controller through the background server monitoring device. 4. The cloud platform-based ultra-energy-saving smart street lamp control system according to claim 1, characterized in that the system also includes: The second mobile control device is connected to the centralized controller through a wireless or wired network, and issues monitoring and management instructions to the centralized controller. 5. The cloud platform-based ultra-energy-saving smart street lamp control system according to claim 3 or 4, characterized in that: The first mobile control device and the second mobile control device are mobile phones, notebooks or tablet computers with mobile communication functions. 6. The ultra-energy-saving smart street lamp control system based on cloud platform according to claim 1, characterized in that the system also includes: The photoelectric sensing device is connected with the centralized controller through the RS485 data line, installed in the area where the street lamp is located to collect the light data of the area, and transmits to the centralized controller to adjust the brightness of the street lamp in the area. 7. The cloud platform-based ultra-energy-saving smart street lamp control system according to claim 1, characterized in that the system also includes: The electricity metering device is connected with the centralized controller through RS485 data lines, and measures the electricity of all street lamps managed by the centralized controller. 8. The ultra-energy-saving smart street lamp control system based on cloud platform according to claim 1, characterized in that: The image acquisition device is a camera, and the wireless network is a 2G communication network or a 3G communication network.

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