What is Smart Street Lighting Using IoT

Table of Contents

As an important part of a smart city, smart street lighting uses wireless IoT sensors, Zigbee, GPRS, Lora, and Bluetooth communication technology to connect the street lamps in the city in series, forming the Internet of things, and realizing the remote centralized control and management of street lamps. According to the traffic flow, time, weather conditions, and other conditions, the scheme can automatically adjust the brightness, and remote control lighting, abnormal will take the initiative to alarm but also can cooperate with other sensors to play the function of anti-theft and remote meter reading.

Smart street lighting using IoT can effectively control energy consumption, thus enhancing the level of public lighting management, decreasing the cost of maintenance and management, and using the calculation of sensory information processing and analysis to make intelligent responses and intelligent decision support, making the city road lighting to achieve a “smart” state.

Apply smart street lighting using IoT in your city

Smart city street light solution: The smart street light can be managed in a unified manner through the intelligent street lighting control platform and the street lamp controller to achieve the “three-in-one” effect of remote lighting monitoring, intelligent management and control, energy saving and emission reduction.

Smart lighting control
This solution refers to smart city street lights using an IoT network while performing visual management so that managers can clearly understand the status information of each street lamp in each block. At the same time, each street lamp has built-in sensors or smart plugs to preset lighting equipment, to ensure that the switch state and lighting brightness of each lamp can be accurately controlled, so as to truly realize on-demand lighting and achieve the effect of energy saving.

Information release system
Smart street lights using IoT can broadcast advertising messages to nearby passersby while integrating beacons.

Smart city environmental monitoring
Smart street lighting system integrated urban environment sensor to monitor temperature, humidity, noise, and air quality (PM2.5, etc.). The use of street lamp coverage has the advantage of a wide area of more points, to achieve the urban high-density urban micro-environment monitoring ability.

Street lamp charging pile
Installing charging piles for new energy vehicles on smart street lamps is the best way to build distributed charging stations for new energy vehicles on roads. At present, charging piles for integrated new energy vehicles are generally AC charging piles with a power of 7KW and a slow charging speed. They are mainly used to supplement the new energy vehicles parked in street lamps. It can be seen that with the further increase in the number of new energy vehicles, the combination of DC charging piles with faster charging speeds and street lamps will also appear.

Facility monitoring
Smart street lighting using IoT integrates monitoring modules of urban infrastructure, such as manhole cover monitoring, water level monitoring and other sensor modules, which can effectively sense the status and information of urban infrastructure and provide various services for smart cities. The application provides the data.

Alarming
The smart street lighting system with a panic button integrated can push the alarm information to the information bar of the display screen and the monitoring terminal of the service center, and link with the video monitoring system to deal with emergencies in time. Malignant incidents, prevent the expansion of danger and effectively solve security problems in public places.

As reported, there are over 500 cities across China have clearly proposed or are building smart cities. And the market size is anticipated to reach trillions of yuan. The development of a smart city brings great opportunities to smart lampposts.

Wireless connection protocol for smart street lighting using IoT

Intelligent street lighting networks require a single and reliable network that provides instantaneous commands and control. There are several different wireless technologies on the market. For example, Bluetooth, Wi-Fi, Thread, and ZigBee for mesh networks, as well as proprietary sub-ghz protocols, each meets different needs. Mesh networks offer a communication backbone that enables switches, smart LED lights, sensors, and thermostats to interoperate as a “smart” system.

Wireless connection protocol for smart street lighting using IoT

Wi-Fi
WI-FI connectivity is an ideal technology for high data rate services and products in connected homes and provides connectivity to the Internet cloud through a home gateway. However, Wi-Fi is not suitable for smart street lighting using IoT because of its high memory, star network topology, and processor power requirements, protocol stack.

Bluetooth
In a connected home, Bluetooth devices can connect directly to smartphone apps to provide device control without Wi-Fi power consumption. However, Bluetooth /BLE network devices are limited in number and lack scalability.

ZigBee
ZigBee is a local mesh network based on the 802.15.4 standard that can be extended to hundreds of devices. The ZigBee Cluster library defines the functionality of home automation devices and smart lights, providing control over smart lights’ RGB colors, color temperatures, and dimming. The advantages of ZigBee mesh networks are ideal. However, direct control of a smartphone is not supported. ZigBee Gateway routers act as Bridges to connect ZigBee devices to Wi-Fi/ Ethernet IP-based LANs for Internet control and cloud connectivity.

Thread
Thread is an emerging mesh networking technology that provides an IPv6 networking protocol based on the low-power 802.15.4 mesh networking open standard. With the advent of Thread 1.1, only a few thread-based devices are available. Threaded devices are capable of running the ZigBee application layer.

Ecosystem considerations

The choice of wireless technology in lighting control design is influenced by lighting use cases, system integration tasks, and ecosystems. In one business, for example, the success of the Apple ecosystem depends on the integration of hardware and software.

First, on the one hand, there are proprietary or closed ecosystems. These ecosystems exist as they have non-standard implementations from specific requirements. You can see this kind of closed ecosystem in lighting. Second, conversely, you find open ecosystems. If you follow standards, such as ZigBee HA 1.2, then you can access the network. Finally, most ecosystems are intermediate or mixed. These ecosystems can accept other devices that meet the standards. However, each device needs to be approved by the ecosystem in order to take full advantage of its features and functions on the device. This might be called a “whitelist” of devices.

Program multi-protocol. The most basic multi-protocol support requires a chipset, written by the manufacturer during production.

Multi-protocol conversion. This requires some basic building blocks to be put in place but provides many opportunities for future proofing of existing products. The following future example describes a light bulb manufacturer that provides Bluetooth light bulbs to consumers who want to control their lamps directly from their smartphones through a provided app. Smartphones use BLE connections to wireless bulbs to debug devices on ZigBee or Thread networks. Users operate a smartphone application, connect the device to the network, pair it with other appropriate devices, and then switch to the Zigbee.

Protocol switching n/A BLE Specifies the time required for debugging

Dynamic multi-protocol. The simplest of these use cases is the regular use of Bluetooth beacons from devices that typically run on protocols such as Thread, and ZigBee. Assuming a retail store is equipped with ZigBee-controlled lighting, the ZigBee lighting could also be used to transmit Bluetooth beacons on a regular basis. Store lighting is a suitable way to determine location.

Dynamic protocol BLE debugging for mesh networks

Dynamic protocol BLE debugging for mesh networks

Bluetooth beacons are used to announce the presence and service of a device. The mobile device can determine its distance from any given beacon and whether it is close to or away from the beacon. Monitoring multiple beacons provides a fairly accurate understanding of where mobile devices are in the store. Bluetooth beacons can be used to provide custom products or coupons.

Bluetooth beacons are used to announce the presence and service of a device

Dynamic Multi-protocol – BLE beacons and Zigbee time slicing requirements

Although it varies slightly between Google Eddystone, Radius Network’s AltBeacon, and Apple iBeacon, beacons are fairly short packets. The radio requires only about 1 ms to transmit the beacons, and the intervals between beacons are usually no less than 100 ms. In some environments, beacon intervals may be longer, possibly seconds. In this application, the key task is to manage the conversion from ZigBee to Bluetooth beacons.

IoT cloud connection

The Internet of Things is made up of multiple wireless technologies and standards, each of which provides a unique connected lighting solution.

Smart street lighting using IoT uses a connected light source to operate a 2.4ghz radio, the stack is Bluetooth Smart 4.1, and the application is custom.

Continue Reading About Smart Street Lighting

Written by ——
Nick He
Nick He
Nick, a seasoned project manager in our R&D department, brings a wealth of experience to MOKOSMART, having previously served as a project engineer at BYD. His expertise in R&D brings a well-rounded skill to his IoT project management. With a solid background spanning 6 years in project management and get certifications like PMP and CSPM-2, Nick excels in coordinating efforts across sales, engineering, testing, and marketing teams. The IoT device projects he has participated in include Beacons, LoRa devices, gateways, and smart plugs.
Nick He
Nick He
Nick, a seasoned project manager in our R&D department, brings a wealth of experience to MOKOSMART, having previously served as a project engineer at BYD. His expertise in R&D brings a well-rounded skill to his IoT project management. With a solid background spanning 6 years in project management and get certifications like PMP and CSPM-2, Nick excels in coordinating efforts across sales, engineering, testing, and marketing teams. The IoT device projects he has participated in include Beacons, LoRa devices, gateways, and smart plugs.
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