Available online at www.sciencedirect.com
Procedia Engineering 8 (2011) 332–336
2nd International Science, Social Science, Engineering and Energy Conference 2010: Engineering Science and Management
Community Monitoring and Security using an Intelligent Camera in EAT Smart Grids Ketsupich Thananunsophon a *, Benja Mangalabruks b, Yusaku Fujii c and Preecha P. Yupapin d a ,b
Innovative Communication Program, Krirk University, Bangkok 10220, Thailand c Gunma University, Kiryu, Japan d King Mongkut’s Institute of Technology Ladkrabang, Bangkok 10520, Thailand
Elsevier use only: Received 15 November 2010; revised 15 December 2010; accepted 20 December 2010
Abstract
The paper purposes the use of new energy management method for monitoring sub-electrical power station security, service and maintenance. A system consists of a close circuit television (CCTV) for surveillance system, in which the electrical system prevention and monitoring can also be operated by using the thermal viewer (sensor). The consumers confident for the electricity quality will be increased by EAT smart Grid. This equipment can be installed in the system of substation in order to create stability for Thailand electricity system throughout the Smart Grids.
© 2011Published Publishedbyby Elsevier © 2010 Elsevier Ltd.Ltd. Keywords: Innovative communication; Intelligent camera, Smart Grids; Thermal sensor; Energy management
1. Introduction The one of challenge targets of Electricity Authority of Thailand (EAT) is EAT Smart Grids technology development which is integrated the original electrical system and information technology into one system. The development of EAT Smart Grids will enhance other systems which are involved in EAT and increase more stability and efficiency. In addition, new system of CCTV is more qualifying because it will be able to check on unusual electrical system and electric wire all the time as well as report simultaneously. Thus, an officer will be able to check on problem and correct suddenly and the system can point out the position which is the cause of problem. EAT has several of distribution systems and equipments which are installed in substation and dispersed all over the country and maintenance cannot cover in every substation. Thereby, the planning before checking with Thermal
* Corresponding author. Tel.: +668-14246244; fax: +662-5905215. E-mail address:
[email protected]. 1877–7058 © 2011 Published by Elsevier Ltd. doi:10.1016/j.proeng.2011.03.062
Yusaku Fujii et al. / Procedia Engineering 8 (2011) 332–336
333
viewer is a tool and helps EAT to arrange cable, period of time for checking or the equipment in system and manage the priority in respectively. It is considered by using related information such as load type, voltage, cable size, cable rating and electrical equipment rating which are planned for preventive maintenance of electrical system. Besides, the monitoring system which cannot control or command as well as it should be due to late command from the authority person that is cause of time consumption in corrective process and late report to commander.
1.1. Objective There are various functions of information technology and communication network which are purposed to improve efficiency and stability of electrical system at every substation. It is operated via fiber optic network with IP Multimedia Subsystem (IMS) [1-2] and CCTV [3-4] which is called an intelligent Camera in this research in order to apply in EAT Smart Grids in every substation of Electricity Authority of Thailand. Apart from monitoring system, it will be able to check quality and ready status of electric wire by using heat detector in wire which is a special qualification of intelligent camera. 1.2. The Scope of Study This research concerns on important of an intelligent Camera which is qualified of safety monitoring and monitor on efficiency in the system with thermal viewer in order to check on unusual electrical equipment or joint of equipment in substation, cable system and distribution system. They are protected from damage which might be occurred and can be delivered electricity continuously. The high temperature point is occurred by unusual electric equipment or joint of equipment.
Fig. 1 Intelligent camera system for the connection of communication network to support on electrical distribution control
334
Yusaku Fujii et al. / Procedia Engineering 8 (2011) 332–336
Fig 1 presents the reference points of IMS system with fixed line network and wireless line network as regulation of 3GPP (3rd Generation Partnership Project) [5-6] which SIP protocol is controlled the session on synchronization that start with _M while DIAMETER is controlled the access of user and charging on Sh, ISC, Dh, Cx and Dx [7-8].
2. EAT Surveillance System
2.1. Thermal sensor Thermal imaging camera consists of five components: an optic system, detector, amplifier, signal processing, and display [8]. Fire-service specific thermal imaging cameras incorporate these components in a heat-resistant ruggedized and waterproof housing [9-10]. These parts work together to render infrared radiation, such as that given off by warm objects or flames, into a visible light representation in real time. The camera display shows infrared output differentials, so two objects with the same temperature will appear to be the same color [11]. Many thermal imaging cameras are used grayscale to represent normal temperature objects, but highlight dangerously hot surfaces in different colors [12]. Cameras may be handheld [13] or helmet-mounted [14]. A handheld camera requires one hand to position and operate; leaving only one free hand for other tasks, but can be easily transferred between firefighters. The majority of thermal imaging cameras in use in the fire service are handheld models. The National Institute of Standards and Technology Fire Research division is the lead government agency developing performance standards for fire service thermal imaging cameras in the United States, although the U.S. Army Night Vision Laboratory has contributed to the effort. Preliminary recommendations from the field include visible lowbattery warnings, ability to withstand full immersion in water, and the ability to provide meaningful visual readouts beyond 2,000°F (~1,100°C) [15].
2.2. EAT intelligent cameras EAT works for planning to use EAT intelligent Camera which is monitored both of substation and electrical system and electrical line by a special qualification of EAT intelligent Camera. These are thermal viewer and heat detector that can be created picture of heat equipment or unusual equipment when it is on loading by using infrared. Infrared spectrum is technique to detect heat and cannot see with naked eyes. The good camera might be a thermo scan on the object which is created the picture including heat detector for area surrounding. Moreover, the infrared can be caught the object in 3 ways which are heat of selected object (Wobj), heat of surrounding (wamb) and heat of medium (Watm) such as the air. The instruments provide temperature data at each image pixel and, typically, cursors can be positioned to each point with the corresponding temperature read out on the screen or display. Images may be digitized, stored, manipulated, processed and printed out. All objects have a certain temperature and emit waves of energy called infrared radiation. Hot objects emit more energy than cold objects. A thermal imager translates these energy waves into a viewable image, which shows a “heat picture” of a scene [16]. In addition, planning and checking are needed other information to consider such as daily load curve, feeder layout, cable rating to compare when it is on loading. Thus, the critical cable ought to prepare on planning or prevent unusual equipment which will be protected damage in the future. Moreover, the record of result after checking can be used as database in order to analyze heat problem in further and it can be used for monitoring and correction afterward, which is as shown in Fig 2.
Yusaku Fujii et al. / Procedia Engineering 8 (2011) 332–336
335
Fig. 3 EAT Intelligent Camera in Process
Fig. 2. EAT intelligent cameras in process
3. Discussion and Conclusion The research purposes of using EAT intelligent camera in EAT Smart Grids, which is subjected to protection stability of electricity in the country distribution system reliability, the system safety and other systems which is involved to provide the best service for people [17]. Moreover, it also enhances professional corporate image for EAT. The paper purposes the use of new energy management method for monitoring sub-electrical power station security, service and maintenance. A system consists of a close circuit television (CCTV) for surveillance system, in which the electrical system prevention and monitoring can also be operated by using the thermal viewer (sensor). The confident of consumer in electricity quality will be increased by EAT smart Grids. This equipment can be installed in the system of substation in order to create stability for Thailand electricity system throughout the smart Grids. EAT intelligent camera installation for monitoring and safety is used for preventive and corrective on joint of equipment. Furthermore, it can be a database to analyses heat problem and positioned in each point with the corresponding temperature read out. Therefore, the problem is continuously being solved and maintained on the stability on electrical system. Besides, it can be reduced time consumption on correction and increased on reliable of
336
Yusaku Fujii et al. / Procedia Engineering 8 (2011) 332–336
consumer. Therefore, it is very important on record the result via EAT intelligent camera which can be analyzed the power failure from high temperature point in the electrical system or the quality of equipment. Moreover, if Thailand can use EAT intelligent Camera in every organization, it will be created the highest benefit for people and enhanced professional corporate image for EAT in another way.
References [1] J. Yick, B. Mukherjee and D. Ghosal, “Wireless sensor network survey”, Computer Networks: The International Journal of Computer and Telecommunications Networking, vol. 52, no. 12, pp. 2292-2330, 2008. [2] I.F. Akyildiz, W. Su, Y. Sankarasubramaniam and E. Cayirci, “A survey on sensor networks”, IEEE Communications Magazine, vol. 40, no. 8, pp. 104–112, 2002. [3] N. Yoshiura, Y. Fujii and N. Ohta, “Using the security camera system based on individually maintained computers for homeland security”, The e-JIKEI Network Project, Proc . IEEE IMTC, pp. 101-105, 2005. [4] (2010) US Home Guard. [Online]. Available: http://www.ushomeguard.org. [5] (2010) Guidelines for use of wireless communications in the Smart Grid. [Online]. Available: http://www. nisit.gov. [6] (2010) Guidelines for use of IP protocol suite in the Smart Grid. [Online]. Available: http://osgug.ucaiug.org. [7] Chiao J. C., Optical Micro and Nano Technology, 1st ed., Ohio, USA: McGraw-Hill Inc., 2009. [8] P. McDaniel and S. McLaughlin, “Security and privacy challenges in the Smart Grid”, IEEE Security and Privacy, vol. 7 , no. 3, pp. 72-74, 2009. [9] H. Molinaro, "Where there's smoke". Plastics Engineering, vol. 60, no. 4, pp. 14-17, 2008. [10] Raytheon Company Team. "Raytheon Unveils Thermal-Eye X100XP Thermal Imaging Camera", Imaging Update, 2008. [11] A. L. Avillo, Fireground Strategies, 1st ed., Oklohoma, USA:PennWell Books, 2002. [12] (2008) Introduction of the latest thermal imaging camera – The Scott Eagle Imager 320. [Online]. Available: http://firefightingcanada.com. [13] H. Smith, "Image Conscious", Fire Chief, vol. 51, no. 8, pp. 120-125, 2007. [14] J. Boyd, "Using Hands-Free Thermal Imaging Cameras", Fire Engineering, vol. 160, no. 5, pp. 95–97, 2008. [15] D. A. Little, "Safety First", Fire Chief , vol. 50, no. 4, pp. 92–96, 2008. [16] P. Ruuska, J. M. Kel, M. Jurvansuu, J. Huusko and P. Mannersalo (2010) ROADMAP for communication technologies, Services and Business Models 2010, 2015 and Beyond. [Online]. Available: http://www.tekes.fi/u/GIGARoadmap2010.pdf. [17] K. Thananunsophon, C. Pavaganun and P.P. Yupapin, “PEA organization image and homeland security using CCTV”, Procedia Social and Behaviral Science, vol. 2, pp. 53-57, 2010.
