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1. Project Background
2. Demand analysis
3. Functional design
Recently, I participated in the Internet of Things Design Competition as my graduation design for next year. My good brother spent a month in his spare time to realize the effect of the system V1.0 from project conception and equipment selection.
The effect of this project can be seen in the demonstration of NB-iot smart street lamp project. Thank you for your criticism and correction
This project: Open source paper on intelligent street lamp monitoring system based on NB-iot ~
1. Project Background
When night falls, various and colorful street lights are lit in the city, covering the city with a gorgeous coat. But beneath this gorgeous exterior lies a huge drawback:
1) Energy waste: As people begin to rest after midnight in the city, the flow of people on the street begins to decrease. Some areas do not need too much street lighting at special times, resulting in energy waste and increasing unnecessary costs.
2) Maintenance difficulties: Due to the use of manual inspection, a large number of manpower is needed, and the real-time status of street lamps cannot be obtained in time, resulting in low efficiency of street lamp fault maintenance and troubleshooting.
2. Demand analysis
The construction of street lamp management platform is an important part of smart city, which can not only improve the city and municipal service capacity, but also an important entrance of smart city, which can promote the landing of “smart city” and “smart city” in urban lighting business. In the past, there were many problems in street lamp management, such as street lamp switch, inspection, maintenance basically rely on manpower, key areas need to send patrol at night, to ensure the equipment readiness rate; When the street lamp fails, maintenance personnel cannot determine the precise position of the street lamp; The manager cannot control the street lamp by time and monitor the overall state of the street lamp; Street light to keep the steady state of low efficiency, not energy saving; Low level of intelligence, can not be combined with AI technology to achieve data analysis of street lamp nodes. In view of the above problems, the structure diagram of intelligent street lamp monitoring system designed by this system is shown as follows:
The specific functions are as follows:
1) Street lamp node supports custom control mode, which can support custom time control strategy and diversified control (street lamps on both sides are fully on, fully off, and isolation bar highlighting, etc.);
2) Automatically adjust the brightness of street lamps according to the ambient light intensity, low power consumption, energy saving and emission reduction;
3) Power off protection, the voltage and current exceeds the safety threshold, the street lamp automatically power off;
4) Street lamp fault automatic alarm, GPS precise positioning, visual monitoring of street lamp information from mobile phone APP, wechat mini program, PC and Web platform, can retrieve any street lamp information at any time;
5) Real-time collection of street lamp node operating status, voltage, current, power, power factor, power consumption, carbon dioxide generation, frequency, environmental illuminance and street lamp status data, statistical analysis and historical query.
6) Using machine learning algorithm, according to the street lamp node modeling, to achieve urban portrait analysis.
In short, the intelligent street lamp monitoring system based on NB-iot technology has broad prospects and broad demands.
3. Functional design
Based on THE NB-iot technology, a single lamp controller integrated with the NB-iot module is installed on each lighting node. The single lamp controller realizes two-way communication with the street lamp control platform through the operator’s network, and the street lamp control platform directly controls each lamp. Including on and off lamp control, light detection, automatic adjustment of light and shade, power consumption analysis and other operations. The actual picture of smart street lamp is as follows:
Unlike the traditional “two-hop” solution, the NB-iot based solution does not require a gateway. Each NB-iot street lamp controller connects directly to the operator’s NB-iot network and communicates with the control platform, as shown below:
The intelligent street lamp monitoring system based on NB-iot technology includes perception layer, network layer and application layer.
The perception layer consists of a separate street lamp control module and an NB-iot terminal. Each street lamp on the road is installed with a street lamp control module. The street lamp control module manages the switch of the street lamp, is responsible for collecting data information and monitoring the running state of the street lamp. It communicates with the NB-iot terminal wirelessly through the NB-iot network. The NB-iot terminal uploads the data information collected by the street lamp control module to the NB-iot base station, and then reaches the street lamp control module under the management command of the mobile phone or monitoring center in the application layer, so as to manage and monitor the street lamp in the perception layer, and realize accurate city portrait modeling combined with AI technology. The network layer consists of nB-iot base station and Internet network. The LTE platform of 4G is mainly used in the Internet network, which transmits the data information of the sensing layer to the application layer in real time, and transmits the control commands of the application layer to the sensing layer. The network architecture of intelligent street lamp monitoring system is shown in the figure below:
The system design scheme has the following advantages:
1) In the control of street lamps, three control strategies of different periods are adopted to realize the control of full brightness mode of street lamps on both sides of the road in different periods, automatic adjustment mode (according to the intensity of ambient light or voltage and current threshold) and terminal joint control mode, so as to realize the saving of electric energy on the condition that illumination requirements are met.
2) The communication mode is the NB-iot network of China Telecom, with simple topology and low deployment cost. The NB-iot adopts DRX mode to realize real-time online terminals. This communication mode is more suitable for static and low mobility scenarios requiring instruction delivery.
3) By using THE GPS geographic information management system, the location of each street lamp can be directly located on the mobile phone APP, wechat mini program PC application and Web platform interface, which is convenient for maintenance personnel to determine the address of the faulty street lamp and timely repair.
4) High precision data acquisition and communication technology, can collect street lamp node working state, voltage, current, power, power factor, power consumption, carbon dioxide generation, frequency, environmental illumination and street lamp status data, data accuracy to two decimal points.
5) Realize AI technology empowerment and urban portrait data analysis of street lamp nodes.
Intelligent Street Lamp Monitoring System Based on NB-iot (Hardware development)
Intelligent Street lamp Monitoring System based on NB-IOT (cloud deployment and AI model training)
Intelligent Street Lamp Monitoring System Based on NB-iot (PC Application Development)
Intelligent Street Lamp Monitoring System Based on NB-IOT (Mobile application development)