smart street lights - street light price

Overview: smart lights are designed to minimize energy/power waste from unrealistic use of lights on streets (street lights)
As well as automatic fault tolerance and mobile control.
The product uses the presence detection technology to determine the on/off status of the lights, or to control the brightness level of these lights (LED’s).
Background: these days, people often see lights on buildings or street corridors all the time, even if there is absolutely no one around to use them.
In sharp contrast to the above situation, we also see that there are not enough lighting facilities in places where lighting facilities are most needed.
The proper treatment of the above two situations can make the energy use effectively, and at the same time, the optical resources can be effectively allocated.
The products we have developed are designed to achieve this very bridging process by implementing sensor-based lighting systems.
Unique and innovative attributes · the best sensor location to use resources wisely.
Use highly available resources that are uniformly distributed (Street lights)
Low-cost setup for system real-time local weather and other important sensor data acquisition.
Automatic fault detection through mobile applications for centralized control.
Collect vehicles that advertising companies can effectively use to move between blocks.
Technology: Arduino, C, Python, Intel Edison board cloud connections take advantage of cloud connections to simulate by using a local server that receives sensor data from different Edison boards in real time.
The data collected on the server can be easily used to analyze and visualize the different outputs of the sensors present in the system.
The Intel IoT cloud system is not available because it is just an analytics platform and we need to perform calculations in the cloud and send certain necessary control signals to the smart lighting system.
Sensor utilization (
From Development Kit)Grove
Light Sensor: determine the intensity of the surrounding daylight, thus turning on/off the lights Grove-
Temperature Sensor _ v1.
1: determine the effective temperature level of city Wifi Bluetooth: connect the system to the cloud and server to communicate different kinds of sensor data effectively.
Grove
Air quality sensor: determine the level of effective pollution in the city.
It also helps determine the level of smoke to turn on the lights Grove
PIR sensors: detect the arrival of a vehicle or human being and effectively trigger an increase in light intensity.
Replacement of infrared sensors for vehicle detection. Grove
Infrared sensor/distance sensor: detect the arrival of a vehicle or person and effectively trigger an increase in light intensity.
Mobility Android-based mobile app is developed for system administrators, using which he can control the intensity of street lights or enable or disable Smart features as required.
Big data is continuously collected from temperature, air pollution, infrared and other sensors that can be used to gain meaningful insights.
A large amount of data collected can be analyzed to determine various factors such as effective noise and air pollution in the city, as well as local effective temperatures in the city.
In addition, the analysis can be used to price billboards based on the number of vehicles.
Component usage-
Hardware Intel Edison: simulate 3 master nodes using 3 sets of Intel Edison motherboard (
Street lights with sensors)
Each master node has 2 slave nodes.
· Sensors: various sensors mentioned in 4. 0.
4 used to make the system more robust and provide a variety of information.
Other: use other hardware tools such as LED to simulate street lights.
Android devices: test android applications developed for centralized control.
Component usage-
Software Arduino IDE: for Intel Edison Python Programming: for setting up server Android SDK: for developing android applications for centralized control of the entire system.
The government can use this technology to effectively maintain the lighting system.
Advertisers can get real-time statistics on the accessibility of the end users of their ads.
Universities and companies can use the system to effectively manage their parking lots and corridors.
Conclusion we have successfully connected 3 Edison boards, using the power of the internet of things to realize the prototype of our system for social and economic undertakings.
Connect the LDR sensor to the input pin of the Edison board.
These sensors will help distinguish between day situations and turn off the lights accordingly.
Connect the motion detection sensor to the input pin of the Edison circuit board. These sensors can be either UV sensors or infrared sensors.
Whenever motion is detected, the status of the signals sent by these sensors changes.
Since we are trying to simulate three lighting blocks, each of the three Edison boards uses a sensor to connect the LED to the analog output pin of the Edison board.
Number of led required to connect to each sensor block. (
Every Edison Board)
Control the brightness and status of these LEDs according to configuration settings and requirements.
A server is set up locally for sending setup configurations, such as downloading code from the server and loading it into the edison board configuration settings, which can be sent directly from the server or via a mobile app to the server.
Now the led should be turned on or off automatically according to the reading of the LDR and change its brightness according to the reading of the sensor.