- Open Access
- Total Downloads : 28
- Authors : P. Dineshkumar, K. Bhuvanastri, Mrs. N. Deepa
- Paper ID : IJERTCONV3IS16045
- Volume & Issue : TITCON – 2015 (Volume 3 – Issue 16)
- Published (First Online): 30-07-2018
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License: This work is licensed under a Creative Commons Attribution 4.0 International License
Real Time Smart Meter Data Reading and Energy Monitoring System
P. Dineshkumar1, K. Bhuvanastri2, Mrs. N. Deepa3
M.E-Embedded System Technologies
Electronics and Communication Engineering, Dr.N.G.P. Institute of Technology Coimbatore-641048, India
Electronics and Communication Engineering, Dr.N.G.P. Institute of Technology Coimbatore-641048, India
Abstract In this project deals with automatic meter reading and theft control system that measures and transmits the total energy consumption by GPRS technology provided by GSM network. Current Sensor is used to measure the total power consumption for house or industrial purpose. For transmitting the reading of energy meter GSM module is used. The GSM module provides a mode of communication between the user/meter and the EB Station. The GSM module will also get real time electricity rates and enable the utility to keep a check on electricity theft. To avoid theft, infrared sensor is placed in the screw portion of energy meter seal. Any human error is placed on the load a message is sent to the electricity board. The measuring of energy meter and monitoring of IR sensor is done with a PIC microcontroller. It also present how the meter reading, disconnection and reconnection can be controlled from server end. This model reduces the manual manipulation work and theft control.
Keywords Current Sensor, IR Sensor, PIC Controller, GSM Module, Relay Control.
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INTRODUCTION
The traditional meters, in which the pendulum rotates for a predefined times and it calculates the consumption of unit power in terms of Watts. Those meters are economical ones and installed at home and as well as in industries. The traditional meters are non-real time ones so calculation of bills is slow in process. Now a days a computer operated meter are used but they are also non real time system operated device. There is no proper way to know the consumer's maximum demand, usage details, losses in the lines, and power theft.
Hence, with the rapid development of wireless communications, microelectronic technology, integrated circuit and sensing technology, the wireless sensor network (WSN) has achieved a great progressed, which is now most of the WSNs node had combine sensing, computation and communication into a single device, so to use wireless communication is not impossible anymore.
In the existing methods wireless communication system of energy meter used with Zigbee, relay control and PLC [1],[2]. The cryptographic method is used to secure the communication channel and Zigbee for the transmission of data in a serial process. For high speed data control we have to
use fiber optic communication but in rural area distribution system with more dispersed distributed energy resources, it is not economical to deploy fiber optic communication [6],[9]. Hence, wireless communication technologies are more feasible. Wireless communication reduces the hassle of making a new connection and will increase the network range.
In wireless communication, GSM plays an important role for transmitting data at a favourable price from residential buildings to central billing centres and providing extra services for the user. Due to high speed, unlimited transmission range, GSM is very appropriate for the power applications. This cellular network consists of cells, which are formed by many low power wireless transmitters. With the moment of mobile devices having cellular modem, transmission of data is also exchanged between cells to cell, which facilitates non interrupted data flow. This way it forms point to point architecture. This technology offers extensive data coverage, no maintains costs and network fully maintained by carrier.
In this proposed system focus on the Wireless Energy Monitoring system where the development of a hardware device and software application that can be used by the users to monitor their power usage at home. The user can obtain the status of energy consumption and the billed amount by sending the corresponding commands from the mobile phone to the GSM modem. Then it sends commands to the PIC microcontroller and the required information is sent to the user mobile through the GSM modem. Also they can obtain their consumption and billing status from the specific website which is provided by electricity provider. This increases the efficiency of the distribution system.
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RELATED WORKS
Nowadays, much research has been carried out to improve the energy monitoring system. From the previous research various methods had been introduced to improve the energy monitoring system and one of the important ways to improve the energy monitoring system is to change the wired transmission to the wireless communication because the major weakness of the wired connection is the limitation of network ranges and upgrading difficulty. Hence with the rapid
development of wireless communications, wireless sensor network has achieved a great progressed. Wireless communication reduces the hassle of making a new connection and will increase the network range.
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Automatic Meter Reading
Automatic Meter Reading (AMR), is the technology of automatically collecting consumption, diagnostic, and status data from water meter or energy metering devices (gas, electric) and transferring that data to a central database for billing, troubleshooting, and analysing. This technology mainly saves utility providers the expense of periodic trips to each physical location to read a meter. Another advantage is that billing can be based on near real time consumption rather than on estimates based on past or predicted consumption. Radio frequency based AMR can take many forms. The more common ones are handheld, mobile, satellite and fixed network solutions. There are both two-way RF systems and one way RF systems in use that use both licensed and unlicensed RF bands. In a two way or wake up system, a radio transceiver normally sends a signal to a particular transmitter serial number, telling it to wake up from a resting state and transmit its data.
The meter attached transceiver and the reading transceiver both send and receive radio signals and data. In a one way bubble up or continuous broadcast type system, the transmitter broadcasts readings continuously every few seconds. This means the reading the transmitter broadcasts readings continuously every few seconds. This means the reading device can be a receiver only, and the meter AMR device a transmitter only. The RF based meter reading usually eliminates the need for the meter reader to enter the property or home, or to locate and open an underground meter pit. The utility saves money by increased speed of reading, has lower liability from entering private property, and has less chance of missing reads because of being locked out from meter access. Data travel one way, from the meter AMR transmitter to the meter reading receiver. There are also hybrid systems that combine one way and two way technologies, using one-way communication for reading and two way communications for programming functions. The technology based on RF is not readily accepted everywhere. The RF technology faces a barrier of regulations in place pertaining to use of the radio frequency of any radiated power. The radio frequency which is generally in ISM band is not free to use even for low power radio of 10 mW. The majority of manufacturers of electricity meters have radio frequency devices in the frequency band of 433/868 MHz for large scale deployment in electricity board.
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AODV Routing Protocol
Ad hoc On-Demand Distance Vector (AODV) Routing is a routing prtocol for mobile ad hoc networks (MANETs) and other wireless ad hoc networks.AODV belongs to the class of Distance Vector Routing Protocols (DV). In a DV every node knows its neighbors and the costs to reach them. A node maintains its own routing table, storing all nodes in the network, the distance and the next hop to them. If a node is not reachable the distance to it is set to infinity. Every node
sends its neighbors periodically its whole routing table. So they can check if there is a useful route to another node using this neighbor as next hop. When a link breaks a Count-To- Infinity could happen.
AODV is an on demand routing protocol with small delay. That means that routes are only established when needed to reduce traffic overhead. AODV supports Unicast, Broadcast and Multicast without any further protocols. The Count-To- Infinity and loop problem is solved with sequence numbers and the registration of the costs. In AODV every hop has the constant cost of one. The routes age very quickly in order to accommodate the movement of the mobile nodes. Link breakages can locally be repaired very efficiently.
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Wireless Communication Network
A sensor network typically consists of a number of sensor nodes which each acquire signals from a sensor or multiple sensors and a system to transmit and process the data acquired from sensors. The sensor nodes can communicate the data within one another or to a centralized location over a wired or wireless network. The sensor network can thus be classified as a data acquisition network and data distribution network. The data acquisition system typically consists of sensors and circuitry to handle the real-world information available and the data distribution network involves the communication protocols, network topology, and methodology to transmit and handle the data. The basic network topologies used are star, ring, bus, and mesh.
GSM (Global System for Mobile communication) is one of the standards for mobile telephony in the world. Although initially used only for voice communication, it has been adapted to include data capabilities by means of GPRS (General Packet Radio Service) and EDGE (Enhanced Data Rates for GSM Evolution). A GSM modem is a type of modem which accepts a SIM 900A(Subscriber Index Module) and operates like a mobile phone. With the boom in telecommunication equipment, the costs of GSM modems are dropping rapidly. Also, due to advancements in low power design capabilities of mobile phones, the current consumption of GSM modems is much less than it traditionally has been.
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METHODOLOGY
The proposed methodology is developed with the Mesh Network topology algorithm to monitor the energy monitoring system monitoring using GSM wireless module in order to provide the energy usage to the user The smart home wireless energy monitoring system has been divided into three part for a detailed optimization design. The first part is a smart home energy monitoring using current transformer, the second part is GSM wireless module as a access point and web page as a GUI for user.
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Energy Meter Reading System
The power supply is given to the PIC controller and the Load. The unit readings from the load is calculated using the Current sensor and Voltage sensor and the value can be stored
in the PIC microcontroller. The code can be given using the MPLAB to the PIC microcontroller and it is displayed in the LCD. The data can be transmitted and received from PIC to the MAX232 through UART. The serial communication can be achieved through the DB9 to the GSM modem. The code is sent to the EB station and acknowledge is received by the GSM Modem. The total amount can be stored in the PIC microcontroller [14] and it can be viewed through the LCD. When the total amount reaches 80% by consuming the electricity, the user will get a warning message to pay the amount of power usage. The following f
factor angle. Un-hooking technology will electricity stealing. Secretly destroy the lead sealing of electric energy meter, open voltage hook of terminal in junction box and make no electric current through all using quantity of electricity steal.
Power Cable ON
Power Cable ON
Temper Detect
Send Warning SMS to Client
Send Warning SMS to Client
CURRENT TRANSFORMR
LOAD RELAY
PIC 16F877A
At Same Time Send SMS to Electricity Provider
At Same Time Send SMS to Electricity Provider
Repair
Repair
MAX 232
VOLTAGE TRANSFORMER
GSM MODEM
USER
Human or System
LCD
Fig.1: Block Diagram of Energy Monitoring System
When the total amount gets over, the household power supply will be cut off using the relay .When household again recharge their account , then further microcontroller send a message via SMS to the user. In this project load is connected to PIC microcontroller through the Current transformer and voltage transformer. This system is low cost and highly reliable. With help of this system we can improve the system capability and reduced operation cost and theft activity of electricity. The fig.2. is the simulation result of the energy meter data reading system.
+5V
Charge Fine
Fig.3: Flowchart of Tampering Detection System
Loop of short electric current, which makes the electric energy meter shift slow. So our project deals about the theft control in energy meter by using IR Sensor. To control the theft we use two types of theft controlling process namely tampering of seal in the load control, underground power theft control .The first process of theft control by using IR (infrared) sensor. IR sensor is fixed in the corresponding load screw with 12v rechargeable battery for identifying the tampering of seal. After identifying the theft IR sensor send the data to the PIC micro controller and then message send to the electricity board by using GSM.
C1
75%
75%
RV1
100%
100%
1k
22p
C2
22p
RV2
X1
CRYSTAL
13
14
2
3
4
5
6
7
U1
OSC1/CLKIN OSC2/CLKOUT
RA0/AN0 RA1/AN1
RA2/AN2/VREF-/CVREF RA3/AN3/VREF+ RA4/T0CKI/C1OUT RA5/AN4/SS/C2OUT
RB0/INT 33
RB1 34
RB2 35
RB3/PGM 36
RB4 37
RB5 38
RB6/PGC 39
RB7/PGD 40
15
LCD1
LM016L
+5V
+5V
VT52, VT100, ANSI
Xmodem, Ymodem, Zmodem
VT52, VT100, ANSI
Xmodem, Ymodem, Zmodem
C1
22p
C1
22p
RV1
RV1
X1
X1
U1
U1
C2
C2
CRYSTAL
13
CRYSTAL
13
33
33
14 OSC1/CLKIN RB0/INT 34
14 OSC1/CLKIN RB0/INT 34
OSC2/CLKOUT
OSC2/CLKOUT
RB1 35 D1
RB1 35 D1
RB2 36
RB2 36
LCD1
LM016L
LCD1
LM016L
96%
96%
RXD TXD RTS CTS
2
2
22p
RV2
22p
RV2
3 RA0/AN0 RB3/PGM 37
3 RA0/AN0 RB3/PGM 37
4 RA1/AN1
4 RA1/AN1
RB4 38
RB4 38
1k
1k
5 RA2/AN2/VREF-/CVREF RB5 39
5 RA2/AN2/VREF-/CVREF RB5 39
LED-RED
LED-RED
-
RA3/AN3/VREF+ RB6/PGC 40
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RA4/T0CKI/C1OUT RB7/PGD
RA5/AN4/SS/C2OUT 15
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RA3/AN3/VREF+ RB6/PGC 40
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RA4/T0CKI/C1OUT RB7/PGD
RA5/AN4/SS/C2OUT 15
Energy : 16.0000Kwh
/RD
/RD
8 RE0/AN5
RC0/T1OSO/T1CKI RC1/T1OSI/CCP2 16
Amount : 120.00Rs
9
1k 10
1
RE1/AN6/WR RE2/AN7/CS
RC2/CCP1 17
RC0/T1OSO/T1CKI 16
9 RE0/AN5/RD RC1/T1OSI/CCP2 17
RC0/T1OSO/T1CKI 16
9 RE0/AN5/RD RC1/T1OSI/CCP2 17
VSS VDD VEE
VSS VDD VEE
RS RW E
RS RW E
D0 D1 D2 D3 D4 D5 D6 D7
D0 D1 D2 D3 D4 D5 D6 D7
52%
52
RC3/SCK/SCL 18
VT52, VT100, ANSI
Xmodem, Ymodem, Zmodem
VT52, VT100, ANSI
Xmodem, Ymodem, Zmodem
8
8
RXD
RXD
RC4/SDI/SDA 23
1k
1k
TXD
TXD
VSS VDD VEE
VSS VDD VEE
24
10 RE1/AN6/WR RC2/CCP1 18
RE2/AN7/CS RC3/SCK/SCL 23
10 RE1/AN6/WR RC2/CCP1 18
RE2/AN7/CS RC3/SCK/SCL 23
RS RW E
D0 D1 D2 D3 D4 D5 D6 D7
RS RW E
D0 D1 D2 D3 D4 D5 D6 D7
MCLR/Vpp/THV
RC5/SDO RC6/TX/CK 25
1
1
RC4/SDI/SDA 24
MCLR/Vpp/THV RC5/SDO 25
RC4/SDI/SDA 24
MCLR/Vpp/THV RC5/SDO 25
RTS
RTS
1
2
3
1
2
3
4
5
6
4
5
6
7
8
9
10
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14
7
8
9
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1
2
3
1
2
3
4
5
6
4
5
6
7
8
9
10
11
12
13
14
7
8
9
10
11
12
13
14
RC7/RX/DT 26
RC6/TX/CK 26 RC7/RX/DT
RC6/TX/CK 26 RC7/RX/DT
CTS
CTS
RD0/PSP0 19
RD1/PSP1 20
RD0/PSP0 19
RD1/PSP1 20
RD2/PSP2 21
RD3/PSP3 22
RD4/PSP4 27
RD5/PSP5 28
RD6/PSP6 29
RD7/PSP7 30
RD0/PSP0 19
RD1/PSP1 20
RD2/PSP2 21
RD3/PSP3 22
RD4/PSP4 27
RD5/PSP5 28
RD6/PSP6 29
RD7/PSP7 30
RD2/PSP2 21
RD3/PSP3 22
RD4/PSP4 27
RD5/PSP5 28
RD6/PSP6 29
30
RD7/PSP7
PIC16F877A
PIC16F877A
PIC16F877A
Fig.2: Simulation Output of Energy Monitoring System
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Tampering Detection System
The metering of electric energy meter is mainly according to the relationship with voltage, electric current and power
Fig.4: Simulation Output of Tampering Detection
The second process of theft control by using the step down circuit fixed between 50 meter gap to analyze the underground theft. If the intruder cuts the underground cable at the time of a power cut the connection of sensors also disconnected. Then the data transfer also disconnected between the circuit and send the information about the disconnection between the circuit to the PIC micro controller and then message send to the higher officer of the EB (electricity board). The fig.4 is the simulation result of the tampering detection system.
Fig.5: Hardware Interfacing of Energy Meter
Fig.6: Bill Details for Customer in Mobile
Fig.7: Tamper Detection Sends to Electricity Board
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CONCLUSIONS
In this proposal model , a real time smart metering system demonstrates how to replace old traditional meters. This new model eliminates the difficulties which are present in older system like saving of money and labour resources. The data is secured due to its unique ID technique. The proposed system used in this model is tamper detection and control system. Energy awareness enables new sets of interactive energy saving behaviours where devices control their power state to meet user needs while minimizing energy usage. The server can control the home energy use schedule to minimize the energy cost and also to control the smart metering system to the long distance communication.
The mesh network algorithm is developed using current sensor and the GSM module. To save money, the consumed energy corresponding price is displayed for the consumer benefits. This model work exposes the purpose of energy monitoring and controlling by implementing energy monitoring system.
REFERENCES
[1]. Dong Sik Kim, IEEE, Sung-Yong Son, and Jeongjoon Lee (2013), Design and Implementation of In-Home Energy Management System, IEEE Transactions on Consumer Electronics, Volume. 59, No. 3, pp.2914-2926. [2]. Dae Man Han and Jae-Hyun Lim (2010), Design and Implementation of Smart Home Energy Management Systems based on ZigBee, IEEE Transactions on Consumer Electronics, Volume. 56, No. 3, pp.269-282. [3]. Jin-Ho Shin, Bong-Jae Yi, Young-Il Kim, Heon-Gyu Lee, and Keun Ho Ryu(2013),Spatiotemporal Load-Analysis Model for Electric Power Distribution Facilities Using Consumer Meter- Reading Data, IEEE Transactions On Power Delivery, Volume. 26, No. 2, pp.29-42. [4]. Jinsoo Han, Chang-Sic Choi, and Ilwoo Lee (2011) ,More Efficient Home Energy Management System Based on ZigBee Communication and Infrared Remote Controls, IEEE Transactions on Consumer Electronics, Volume.57,No. 1,pp.372- 392. [5]. Jinsoo Han, Chang-Sic Choi, Wan-Ki Park, IlwooJan Lee, and Sang-Ha Kim (2014), Smart Home Energy Management System Including Renewable Energy Based on ZigBee and PLC, IEEE Transactions on Consumer Electronics, Volume.60,No.2, pp.1672- 1684. [6]. Jin-Ho Shin, Bong-Jae Yi, Young-Il Kim, Heon-Gyu Lee, and Keun Ho Ryu(2011),Spatiotemporal Load-Analysis Model for Electric Power Distribution Facilities Using Consumer Meter- Reading Data, IEEE Transactions On Power Delivery, Volume.26, No. 2, pp.1287-1293. [7]. JinsungByun, Insung Hong, and Sehyun Park (2012) , Intelligent Cloud Home Energy Management System Using Household Appliance Priority Based Scheduling Based on Prediction of Renewable Energy Capability, IEEE Transactions on Consumer Electronics, Volume.58,No.4, pp.1423-1437. [8]. M. Kuzlu, M. Pipattanasomporn, and S. Rahman (2012), Hardware Demonstration of a HomeEnergy Management System for Demand Response Applications, IEEE Transactions On Smart Grid, Volume.3, No.4, pp.2926- 2933 [9]. Manisa Pipattanasomporn, MuratKuzlu, Member, And Saifur Rahman (2012), An Algorithm For Intelligent Home Energy Management And DemandResponse Analysis, IEEE Transactions On Smart Grid, Volume. 3, No. 4. pp.126-137.
[10]. Augusto Souza Fernandes, Ivan Nunes da Silva, and Mario Oleskovicz (2013), Load Profile Identification Interface for Consumer Online RicardoMonitoring Purposes in Smart Grids, IEEE Transactions On Industrial Informatics, Volume. 9, No. 3, pp.275-285
[11]. Roy.A, Das.S.K, Basu. K (2009), A Predictive Framwork for Location-Aware Resource Management in Smart Homes, IEEE Transaction on Mobile Computing, Volume.6, pp.1270-1283 [12]. Ting Liu, Member, IEEE, YangLiu, YashanMao, Yao Sun, XiaohongGuan, Fellow, IEEE,Weibo Gong, Fellow, IEEE, and Sheng Xiao (2014), A Dynamic Secret Based Encryption Scheme for Smart Grid Wireless Communication, IEEE Transactions On Smart Grid, Volume. 5, No. 3, pp.1107-1119 [13]. Young-Sung Son, TopiPulkkinen, Kyeong-Deok Moon and Chaekyu Kim(2010), Home Energy Management System based on Power Line Communication, IEEE Transactions on Consumer Electronics, Vol. 56, No. 3, pp.29-42. [14]. Bharat Indorey, M. Lokhande (2014), Zigbee Based Advanced Energy Prepaide Meter, International Journal of Innovations in Engineering and Technology, Vol.3 , No. 3, pp.29-42.