IoT and Zigbee based Street Light Monitoring System with ...distance to main server IoT is used. The...

International Journal of Sensor and Its Applications for Control Systems

Vol.4, No.2 (2016), pp.1-8

http://dx.doi.org/10.14257/ijsacs.2016.4.2.01

ISSN: 2287-8467 IJSACS

Copyright ⓒ 2016 SERSC

IoT and Zigbee based Street Light Monitoring System with

LabVIEW

Anita Gehlot1, Rajesh Singh2, Raj Gaurav Mishra3, Adesh Kumar4

and Sushabhan Choudhury5

1,2,3,4,5 University of Petroleum and Energy Studies, Dehradun, India [email protected]

Abstract

A Street light is a source of light on the edge of a road which turns on at night for the

convenience of people. Major advantages of street lighting includes: prevention of

accidents and increase in safety. Paper presents a system for monitoring the working of

street lights at a server with ‘N’ number of local controller unit. The monitoring is done

with the help of graphical user interface designed with LabVIEW. The communication

media between street light and local controller unit is Zigbee and for covering large

distance to main server IoT is used. The system is an effective method for monitoring a

large area lightning system from remote area without visiting the location.

Keywords: IoT, Zigbee, Street light

1. Introduction

The Internet of Things (IoT) technology establishes a communication between all

things and the Internet through sensing devices. The sensing devices includes Radio

Frequency Identification Devices, infrared sensors, GPS etc. Internet-of-things (IoT)

based smart home system, its design and system’s architecture utilizing embedded system,

3G, and ZIGBEE technologies is presented in [1]. Smart homes service applying IoT

concepts along with RFID technologies for ubiquitous applications such as such as

washing, cooking, elderly health care, etc. is discussed in [2]. A design of a smart home

system based on IoT, its service components, software architecture and main modules are

proposed in [3]. A cloud centric vision (using Aneka) of ubiquitous sensing using IoT and

Wireless Sensor Network (WSN) technologies are proposed in [4]. This cloud

implementation was done using Aneka based on private and public clouds interactions. A

framework for home automation, mobility and interconnection using cloud-based smart

home, its features and architecture is discussed in [5]. Possible applications of IoT, Smart

Grid and WiFi-based WSN in smart agriculture and intelligent environment protection are

discussed in [6]. The combination of the IoT near-field communications along with real-

time localization and embedded sensors are used in a way to create activity-aware, policy-

aware and process-aware smart homes in [7]. The characteristic features, advantages and

disadvantages of smart home systems are analyzed in [8]. A smart home Browse/Server

based module, its system architecture, implementation approach and hardware design is

discussed in [8]. Several prototypes using principles that connect sensor nodes (for

environmental applications), energy monitoring systems, RFID-tags and internet for the

application of smart homes are presented in [9]. Security issues and all other related

challenges in IoT based smart homes are presented. Also a comparison of security related

issues existing in IoT and traditional networks are discussed in [10]. Investigation of the

concept and model of IoT based sensing as a service in technological, social and

economical perspectives are presented. Major open challenges and related issues are also

discussed in [11]. Internet of Things, its paradigm and related enabling technologies are


Vol. 4, No. 2 (2016)

2 Copyright ⓒ 2016 SERSC

reviewed in details in [12]. A system designed and developed using IoT for people with

disabilities is presented in [13]. Its architecture, different application scenarios are

presented illustrate the system’s interaction along with its limitations is presented in [13].

An Arduino and RFID based system is developed for old and disabled persons for

operating the door in their house, is presented in [14]. An intelligent remote control for

heating system capable in maintaining room temperature to a pre-defined value using PID

and other optimizing algorithms is presented in [15].

2. System Description

The proposed system is divided into three sections- street light section, local controller

unit and main server as shown in Figure 1. The street light section comprises of all the

light lamps in an area with current sensors and RF module. ‘N’ street lights of this section

communicates with local controller unit wirelessly through RF module (Zigbee). ‘N’ local

controller unit communicates with main server through IoT due to its global coverage

area. A GUI is designed at main server with the help of LabVIEW.

Figure 1. System Block Diagram

Street light section (Sensor node):

This section includes a set of street lights in a locality and the monitoring of all the

lights is on the bases of voltage and current consumption of whole section, as when all the

lights are working properly or when one or more lights are at default. As shown in fig.1


Vol. 4, No. 2 (2016)

Copyright ⓒ 2016 SERSC 3

street lights of a local area sends information to the local control room wirelessly through

Zigbee which is license free module and can be used at remote areas where GSM signals

are not available.

In our proposed system a microcontroller based control board interfaced with current

sensor and RF module (Zigbee) and battery is used at each street light.

Local controller unit:

This section comprises of Zigbee to receive the information from multiple street light

sections and further communicates with main server through IoT.

This section comprises of control board with same type of RF module used in street

light section, which will collect the data from different nodes(street light sections), and

then communicates to main server through internet.

Main server (master control unit):

As. Shown in Figure 2 local control unit is connected to main server through internet

and monitoring of ‘N’ local controller units can be done at centralized platform. Graphical

User Interface is designed to monitor the collected data from all local control units. It will

reduce the maintenance charges and time consumption as no requirement will be there to

send the individual (man) to detect the faulty street light.

Figure 2. Block Diagram for Local Controller and Main Server


Vol. 4, No. 2 (2016)


ESP8266

For IoT application in the proposed system ESP8266 is used. This Wi-Fi module is

based on ESP8266 Integrated Chip from Espressif, which provides a Wi-Fi solution. This

low cost Wi-Fi module can be used in various IoT based applications. This board

operates on 3.3V (and application of 5V may damage the module. Level shifter like

LD1117V33C is required to use this module with 5V devices/boards).

Graphical user interface

LabView is used to create GUI for monitoring the whole system at main server. It

basically provides a graphical output. It consists of the functional blocks known as the

Virtual Instruments (VIs). This programming language does not require skilled labor. It

comprises basically of various serial, Ethernet and USB interfaces.

The Figure 3 shows the front panel for one local controller unit with graphical outputs.

The front panel consists of the start button, stop button, the window displays the values of

various parameters. By analysing the output waveforms fault can be detected

immediately. Figure 4 shows the back panel of LabVIEW with graphical programming.

Figure 5 shows the front panel for ‘N’ local controller unit with graphical outputs.

Figure 3. Front Panel for One Local Controller Unit GUI


Vol. 4, No. 2 (2016)


Figure 4. Back Panel for the Designed GUI

Figure 5. Front Panel for Monitoring ‘N’ Local Controller Unit GUI with First Unit at Fault


Vol. 4, No. 2 (2016)


In Figure 5 shows the GUI for the monitoring of five control units. Red color LED

shows fault at local controller unit 1 and all other units working properly.

Figure 6. Front Panel for Monitoring ‘N’ Local Controller Unit GUI with Third Unit at Fault

In Figure 6 shows the GUI for the monitoring of five control units. Red color LED

shows fault at local controller unit 3 and all other units working properly.

When any of the units shows fault then by pressing the corresponding LED the status

of that unit can be checked and faulty street light can be identified easily.

VSPE

Virtual serial port emulator is a tool which is used to pair two COM ports. It is required

to access real time data on LabVIEW. Two COM ports are paired one to which hardware

is connected and other is for LabVIEW. When these COM ports are paired then

LabVIEW GUI shows the complete access of the data received by hardware. Fig.7 shows

the snapshot for the pairing of two COM ports.


Vol. 4, No. 2 (2016)


Figure 7. COM Port Pairing with VSPE

3. Conclusion

IoT brings a new age for IT technologies with more intelligent modern stage. The

designed system is capable of monitoring the street lights of a large area at a single server

with the help of IoT and further this information can be floated on a website for more

impact and data base.

The major outcomes of the system are as follows-

All the street light even in the remote areas of Uttarakhand state can be monitored

through the wireless network to be developed.

The condition of the street light (whether working or faulty) cab be monitored

without visiting the location.

Coverage area of IoT based system is worldwide and it can be monitored from

any remote location.

References

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Journal of Smart Home, vol. 10, no. 6, (2016), pp. 155-162.

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[16] R. Singh, “Optimization and Implementation of Intelligent RF Remote Controlled Heater System”,

International Journal of Control and Automation, vol. 8, no. 5, (2015), pp. 397-406.

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