IoT based Industry Envirnoment Protection System using Arduino

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IoT based Industry Envirnoment Protection System using Arduino

Shreeraksha.P, Pranitha Preema Crasta

Information Science and Engineering Canara Engineering College, acronyms acceptable

Manglore-574219,India

Ashwini, Prateeksha U Shanbhag

Information Science and Engineering Canara Engineering College, acronyms acceptable

Manglore-574219,India

AbstractInternet of Things (IoT) plays a key role in industrial automation systems (IASs). Evolving IoT standards if effectively used may address many challenges in the development of IASs. However, the use of the IoT and the REST architectural paradigm that IoT is based on is not an easy task for the automation engineer. In this paper, a model driven system engineering process is adopted for IASs and it is extended to exploit IoT standardization efforts in IEC 61131 based system.

KeywordsIndustrial Automation Thing, Internet of Things (IoT), UML profile for IoT (UML4IoT), IEC 61131.

Introduction

As the society is growing with various developments, the outmoded forms of storing various food products in cold store rooms fails to satisfy human need. Through the monitoring of the temperature and humidity inside cold storage rooms, the goodness of the products can be ensured for a longer time. Recent research has revealed that operations of wireless sensor systems are largely affected by their on-board temperature [1]. We can implement sensors in wide area over the machines and instruments and control and monitor the circumstances by using concept of IoT [2].As we are making use of Internet the system becomes secured and live data monitoring is also possible using IoT system [3]. In this paper we have designed a gateway which will be the central part of this whole system. The function of the gateway is to gather data, process them, upload them and process user control information. If the network connection is not established then the data will be stored and upon reestablishment of the network it will be uploaded. The terms of "things" in the IoT vision is very broad and includes a variety of physical elements. The terms of things include portable personal items such as smart phones, tablets and digital cameras. Furthermore, IoT includes elements of our environments (be it home, car or office), and things equipped with RFID tags connected to a gateway device.

Methodology

In this proposed system, the main concern is to implement and design a multisensory based IoT platform for air, sound and water quality real-time monitoring. Main focus of this system is high & fast sensitivity, low cost and low power

consumption with two way power system .The system always takes its powered from solar panel unit, if the solar panel fails the AC power line enable automatically, thus the automatically switching system is handling by power electronic logic circuit. After sensing data send to the cloud, data storage operation and Alarming before will pollution become occurs. Air temperature and relative humidity CO2, CO, LPG, Smoke, alcohol, benzene, NH3 Temperature, similarly to pH level, water temperature for water quality and also detect environment sound Dimension are united this system for real-time monitoring . Another consideration in this research based on cost effective sensors for relative humidity , temperature and VOC measuring , pH measuring with MOIST thick sensor was developed [1].This proposed system provides a special advantage where every one sensor connected with a input pin within a central unit based microcontroller for sensing quality parameters value

.The proposed central unit based microcontroller system ensures that it can be easily expanded,customization and allows customization options as user requirements, simple, accurate result, easily maintenance and cost-effective, Email alert and SMS alert before the pollution occurs, If the device are disconnected with cloud, user get a Email alert within 5 minutes . The proposed system is a platform which allows multi-parameters analysis of air, gas, sound and temperatures the proposed system offers better efficient and differentiate with existing system .The pollutants when released from industries or when fire is detected the system gets activated. When carbon di oxide goes above the defined level or threshold value the system gives an alarm to the authority. If the authority does not take any actions system automatically stops the motors. Similarly when _re is detected an alarm is given and if no actions are taken by the authority automatically exhaust fans will get on. The Leaked is detected and after the alarm if no actions are taken the boilers are switched off. This system is also monitored using IOT the internet of things.

Figure 1: Methodology Description

Whenever the parameters cross the limits the values are updated. These updated values can be viewed anywhere and anytime by opening the link given through internet. The inputs from sensors given are interfaced with IOT and made available online all the time so anyone who has the link can view the condition of the parameter. Methodology Description is shown in Figure 1. monitored. This type of system can help in Industrial Automation using IoT, with the help of which we can take intelligent decisions

Temperature

Humidity

Pineapple, bananas,

mangoes, melons, lemons

10.0-12.0

85-90

Oranges

4.5

89-90

Apples, apricots, pears, strawberries,

cherries, peaches, grapes

-0.5- 1.5

85-90

Temperature

Humidity

Pineapple, bananas,

mangoes, melons, lemons

10.0-12.0

85-90

Oranges

4.5

89-90

Apples, apricots, pears, strawberries,

cherries, peaches, grapes

-0.5- 1.5

85-90

Table 2

Table 2 shows After verifying the result with Table 2 [15], the system automatically send the confirmation that the temperature and humidity details are suitable for the various food products that are kept inside the storage rooms and the products will be in good quality. This kind of management ensures that the product storage mechanisms used by the various industries inside the storage rooms are in the best environment.

Monitoring System

Temperature

Humidity

14

76.84

15

72.03

12

87.57

14.2

86.62

15.5

96.84

Monitoring System

Temperature

Humidity

14

76.84

15

72.03

12

87.57

14.2

86.62

15.5

96.84

Figures and Tables

Table 1

Acknowledgment

A successful and satisfactory completion of any significant task is the outcome of invaluable aggregate combination of different people in radial direction explicitly and implicitly. We have been lucky to have received a lot of help and support fromour lecturers during the making of this project, we would therefore take the opportunity to thank and express gratitude to all those without whom the completion of our project would not be possible.

We are thankful to our guide Prof. Pragathi Hegde, Assistant Professor,Department of Information Science and Engineering, who has been a source of inspiration. She has been enthusiastic in giving her opinions and critical reviews. We consider it a privilege and honour to express our sincere gratitude to our project coordinator Prof. Pragathi Hegde,

Table 1 With the help of arduino UNO-R3 board and GSM (800) & Wi-Fi module (shown in Figure 7), after collecting the details of the temperature and humidity we post this data to the server. Table 1 depicts the results that are coming out from experiment.

We have taken the temperature in three times of the day viz: morning, afternoon and evening as we get different values at different times based on the formula [14], Relative humidity, RH = 100*(EXP((17.625*TD)/243.04 +TD))) EXP((17.625* T)/(243.04 + T))), TD = DEWPOINT, T =

Types

Transport

Relative

Types

Transport

Relative

Temperature in K, so we can store those products at those times which are suitable according to the temperature.

Assistant Professor, Department of Information Science and Engineering for her invaluable support and encouragement.

We express regards to Dr. Sumathi Pawar, Head of the Department, Information Science and Engineering, for her valuable suggestion and for providing best facilities for creative work, guidance and encouragement.

We are indebted to our principal Dr. Ganesh V. Bhat, for providing his kind support and cooperation.

We thank all teaching and non-teaching Staff of Department of Information Science and Engineering for their support cooperation.

Above all we thank our parents without whose blessings; we would not have been able to accomplish our goal. We would like to thank our friends and classmates for their help and wishes for successful completion of the work. .

References

Daugherty, Paul; Negm, Walid; Banerjee, Prith; Alter, Allan. "Driving Unconventional Growth through the Industrial Internet of Things" (PDF). Accenture. Retrieved 17 March 2016.

F.Basile,P.Chiacchio, and D. Gerbasio, On the Implementation of Industrial Automation Systems Based on PLC, IEEE Trans. on automation science and engineering, vol. 10, no. 4, pp.990-1003, Oct 2015.

N. L. Fantana, T. Riedel,J. Schlick, S. Ferber, J. Hupp,S. Miles, F. Michahelles and S. Svensson, "IoT ApplicationsValue Creation for Industry." Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems. p. 153, River Publishers, 2013.

Md.Manirul Islam, Fida Hasan Md. Rafi, Md.Mohiuddin Ahmed Microcontroller based monitoring system, 7th international conference on Electrical and Computer Engineering 20-22 December 2012 , Dhaka, Bangladesh.

Wen ciling &Zhao Cheng,Design Monitor System Based on virtual Instrument Technology. Elsevier International Journal of Energy Procedia,vol 17,2012.

Bingwu Liu, Guicheng Shen, Research on Application of Internet of things in Eelectronic commerece, Third International Symposium on Electronic Commerece and Security, 2010.

Ricardo Augusto Rodrigues da Silva Severino, on the use of IEEE 802.15.4/ZIGBEE for time–sensitive wireless sensor network applications, October 2008.

Dr. M. Dhanabhakyam& T. Sumathi. A study on customers attitude and satisfaction towards hplpg in house hold. The SIJ Transactions on Industrial, Financial and Business Management (IFBM), 2(2), March- April 2014.

Z. Shelby, K. Hartke, C. Bormann, The Constrained Application Protocol (CoAP) IETF Request for Comments: 7252, Available online:

//*https://tools.ietf.org/html/rfc7252 [25] .

Internet Protocol for Smart Objects (IPSO) Alliance, IPSO Smart Object Guideline, IPSO Smart Object Committee, 21September, 2014, Available on line: http://challenge.ipso-alliance.org/so-starter-pac.

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