IoT based Smart Street Lights System using Node MCU

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Description

IoT-based Smart Street Lights System using Node MCU

ABSTRACT:

The main aim of this project is that saves energy by putting on the lights of the system only when the system detects the movement of an object. The system switches on the street light ahead of the movement of an object and switches off the trailing lights simultaneously. In order to detect the movement of an object, sensors are used. The system automatically puts on the lights that are ahead of an object detected and as soon as an object moves ahead, the trailing lights are switched off. This is better than the existing system where the street lights are kept on always unlike this system where the street lights are put on only when the movement of an object is detected which helps in saving a lot of energy. The main aim of this project is that saves energy by putting on the lights of the system only when the system detects the movement of an object. The system switches on the street light ahead of the movement of an object and switches off the trailing lights simultaneously. In order to detect the movement of an object, sensors are used. The system automatically puts on the lights that are ahead of an object detected and as soon as an object moves ahead, the trailing lights are switched off. This is better than the existing system where the street lights are kept on always unlike this system where the street lights are put on only when the movement of an object is detected which helps in saving a lot of energy. IoT-based Smart Street Lights System using Node MCU


IoT-based Smart Street Lights System using Node MCU

INTRODUCTION:

Currently, in the whole world, enormous electric energy is consumed by the street lights,? which are controlled by means of embedded brightness sensors.? They are automatically turned on when it becomes dark and automatically turn off when it becomes bright. This is a huge waste of energy in the whole world and should be changed.? There are some attempts, in which the energy waste of the street lights is reduced. A sensor light, which is controlled by the brightness sensor and the motion sensor, is sometimes used. It only turns on for a while when the motion is detected in front of the light and it is dark. However, it usually is too late to turn the light on when a person or a car comes in front of it. The light should turn on before a person or a car comes On the other hand, some companies and universities have developed centrally-controlled smart street light systems with the host computers. They might be suitable for being applied to a large area or a? newly developed area based on the total plan.? However, they might not be suitable for being applied to a small area. We propose an autonomous-distributed-controlled light system, in which the lights turn on before pedestrians come and turn off or reduce power when there is no one by means of a distributed-installed sensor network. IoT-based Smart Street Lights System using Node MCU


EXISTING SYSTEM

  • EB controlled street light
  • Automatic street light using LDR

IoT-based Smart Street Lights System using Node MCU

PROPOSED SYSTEM:

(a) Lamp unit:

Does it consist of a power-adjustable? LED? array,? the brightness sensor, the motion sensor, the communication device, such as the ZigBee module,? and the controller. It turns on for several minutes under the conditions that a motion is detected in the defined area by the sensors including its own sensor. Then, it sends the message to other units. It turns off or reduced power under the condition that any motion is not detected in the defined area.

(b) Sensor unit:

It consists of the motion sensor, the communication device, and the controller. It sends out the message to other units under the condition that motion is detected. This unit is placed in many locations, such as at electric poles, at house gates, at house fences, and inside or outside of the door, to ensure that every street light turns on before pedestrians notice that. As for power supply, the solar battery can be a good option.

(c) Interconnecting:

Both units can be interconnected through the MQTT protocol. MQTT is a machine-to-machine (M2M)/”Internet of Things” connectivity protocol. It was designed as an extremely lightweight publish/subscribe messaging transport. It is useful for connections with remote locations where a small code footprint is required and/or network bandwidth is at a premium. For example, it has been used in sensors communicating to a broker via satellite link, over occasional dial-up connections with healthcare providers, and in a range of home automation and small device scenarios. IoT based Smart Street Lights System using Node MCU


IoT based Smart Street Lights System using Node MCU

BLOCK DIAGRAM:

SENSOR UNIT:

 

Smart Street Light2

STREETLIGHT UNIT:

Smart Street Light

 


HARDWARE TOOLS

  • Nodemcu?
  • IR sensor?
  • LED?
  • LDR sensor?

SOFTWARE TOOLS

  • Arduino IDE?
  • MQTT?

IoT based Smart Street Lights System using Node MCU

REFERENCE:

[1] Jain, A., Fujimoto, R., Kim, J., Liu, M., Crittenden, J., & Lu, Z. (2015). Towards automating the development of federated distributed simulations for modeling sustainable urban infrastructures. Winter Simulation Conference (pp.2668-2679).?

[2] Giffinger, R. (2015). Smart city concepts: chances and risks of energy-efficient urban development.?

[3] Monzon, A. (2015). Smart cities concept and challenges: Bases for the assessment of smart city projects. International Conference on Smart Cities and Green ICT Systems. IEEE. [4] Zhang, H., Li, S., & Jin, H. (2015). Guangzhou smart city construction and big data research. International Conference on Behavioral, Economic and Socio-Cultural Computing. IEEE.?

[5] Jiang, L. (2015). Smart City, Smart Transportation: Recommendations of the Logistics Platform Construction. International Conference on Intelligent Transportation, Big Data and Smart City (pp.729-732). IEEE.?

[6] Zhao, L. (2014). On the policies of mechanism promotion of Ningbo intelligent city construction based on researched analysis. Advanced Research and Technology in Industry Applications (pp.583-586). IEEE.

 

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