IoT based Monitoring of Container Vehicle for Secure and Reliable Delivery of Goods Sathish Kumar R
Rani C
GaneshKumar P
Dept.of CSE Government College of Engineering Salem
[email protected]
Dept.of CSE Government College of Engineering Salem
[email protected]
Dept. of IT Anna University Regional Campus Coimbatore
[email protected]*
ABSTRACT Designing a Secured Smart Transportation System for delivering goods to various Fair Price Shops is one of the major goals for all the state governments in the India. In this paper, a hardware model and an application is designed for tracking the moving good carrying vehicle. The data for the proposed application is generated from the different sensors such as Door sensors, Collision Prevention sensor, and GPS/GPRS devices that attached to the hardware model. An alarm is raised to make decision in case of trouble or malfunction. The data generated by these sensors are stored under cloud environment. An alert system is implemented using automatic alarm concept that placed inside goods carrying vehicle. If the current moving path of the vehicle has an obstacle then an alternate path is recommended by the proposed application using intelligent water drops algorithm. From the experiment, it is observed that the proposed hardware model and application meets the objective, such as monitoring the goods carrying container, speedy recovery in case of any incidents happened and secured delivery of ration food items to all the required fair price shops.
CCS CONCEPTS • Category ➝ Smart City Development • Computing shortest past ➝ Intelligent water drops algorithm
KEYWORDS Fair Price Shops, Smart Transportation System, Reliable Delivery, Smart City, Cloud Environment. ACM Reference format: R.Sathish Kumar, C.Rani, P.GaneshKumar 2018. In Proceedings of ACM SAC Conference, Pau, France, April 9-13, 2018 (SAC’18), 6 pages. DOI: 10.1145/3167132.3167132.3167201 Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s) .SAC’18, April 9-13, 2018, Pau, France © 2018 Copyright held by the owner/author(s). 978-1-4503-5191-1/18/04. . . $15.0 0DOI: 10.1145/3167132.3167132.3167201
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INTRODUCTION
Public Distribution System [1] in India is established by the Government of India under Ministry of Consumer Affairs, Food and Public Distribution on June 1997 and it is jointly managed by the state governments in India. The fair price shop is a part of the Indian public distribution system which is established by the government of India to distribute items like wheat, rice, kerosene and sugar at a very less price to the poor people. While the central government is responsible for the procurement, storage, transportation and bulk allocation of food grains and the state government holds the responsibility for distributing them to the people through the fair price shops. On September 2014, the honorable Prime Minster of India Narendra Modi has announced to develop 100 smartest cities in India under the Union Ministry of Urban Development. Smart City (SC) vision is to facilitate the creation of economically vibrant, inclusive, efficient and sustainable urban habitats. The SC mission is to promote cities as engines of economic growth through improvement in the quality of urban life by facilitating creation of quality urban infrastructure, with assured service levels and efficient governance [2]. The aim is to collaborate with all respective state government of India to renovate the existing cities and towns in India. Improving the performance and to secure the Public Distribution System in a smarter way is the key elements of the Union Ministry of Urban Development to develop the smart cities in India. The idea behind the development of Secured Smart Transportation System for Fair Price Shop (SSTS-FPS) is to improve the security of delivering the goods to all fair price shops in India. This SSTS-FPS will improve the high quality of life through Information and Communication Technology (ICT) and allows fair price shop officials to work together directly with the society and to monitor the goods carrying vehicle using the real time sensors. India is the second largest road network country in the world. Different states with different cities connect with the roads all over the India at present in India, the fair price shops items such as Rice, Wheat, Sugar, Dhal, Kerosene and other material are transferred within the state using road transport via lorries. [3] This type of goods transportation is unsecured and it is clearly shown in the figure1.This picture is captured during crime investigation of tamilnadu police,
during the illegal transfer of ration food materials near tirunelveli, tamilnadu, India .
information at the same time alarm for the period indicating the dangerous situation. The information can sends to the owner through GSM. If any static obstacles are found in the travelling path can be detect using ultrasonic sensor. In [7] the vehicle tracking and locking system installed in the vehicle monitor the location of vehicle and lock the motor. The location of the vehicle is continuously monitored using GPS, GSM and status is send to the owner. If any theft occurred is known to the owner then the authorized people send the SMS to controller to stop the motor so that moving of the vehicle is stopped. In [8] tracking system based on cloud computing infrastructure is discussed. The fuel level and speed of the vehicle is monitored using ultrasonic sensors. The vehicles are having GPS antenna to identify the location of the place. The alcohol sensor installed in the vehicle to monitor the drunk and drive status. In [9] the SMS and GSM based remote monitoring system is implemented. In order to transfer signals, GSM network is used. This device has two section namely computer and communication module of GSM. The result is shown that the system can observe, control communication and the monitoring canter along with the remote monitoring stations. The rest of the paper is organized as follows. In section 2, architecture of the proposed Secured Smart Transportation Systemic given. Description of the components is discussed in section 3. In section 4, experimental setup is discussed. Simulation result is given in section 5. Finally concluding remarks are given in section 6.
Fig 1. Unsecured Transportations of goods Safety and reliability are the two important issues that need to be taken care seriously during the transfer of goods from the source to destination.
2. ARCHITECTURE OF SECURED SMART TRANSPORTATION SYSTEM Fig 2. Magazine clippings from news articles The smuggling of ration food materials all over tamilnadu is published in various news articles that are displayed using figure 2.This type of incidents made the author to be motivated and give the suitable solution for this problem. This work focus on providing a solution to such challenge task of monitoring the good carrying vehicle using SSTSFPS application which will be more useful for the Indian government for secure transfer of goods for fair price shops from any source to destination. In [4] GSM and GPS network are developed based on the hardware and software technology. The designed GSM/GPS based system has two parts, mobile unit and control station. These systems are connected with various parts of the devices such as data transmitter and receiver for data transfer between the mobile section and control section successfully. In [5] the face of the driver is identified using face detection system. This system acquires images by one small web camera installed in the car. This system compares the obtained images with stored images. If the images are not match, then system send information to the owner. Further this system can store the robber images as well as the car location using GPS technology. In [6] the vehicle cabin protection and safety implementation is executed using embedded system concept. This technique can monitor the level of the toxic gases like alcohol, CO, LPG inside the vehicle and provide alert
Fig 3. Architecture of SSTS-FPS for goods carrying vehicle The overall architecture of the proposed SSTSFPS is displayed using figure 3.The data for the proposed SSTS-FPS is generated from the different sensors such as Door sensors, Vibration sensors, Collision perversion sensor, GPS/GPRS devices which is placed in the goods carrying vehicle. The data generated by these sensors are stored in cloud environment and updated using the developed
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application in a distributed manner. The status of the each sensor’s are recorded in cloud continuously with the default value. Once the default value is changed for the particular sensor, then automatically it states that there is some problem occurred in the goods carrying vehicle. The current status is intimated to the driver via an alarm system that is fixed in the vehicle and message is sent to the registered mobile number.
to check whether the door is open or close during the movement of the vehicle. 3.3 Tracking System
3. DESCRIPTION OF THE COMPONENTS The details of the various sensors components for the proposed SSTS-FPS are discussed under the subsections below.
Fig. 6 Tracking System Tracking system module displayed using figure 6 consists of GPS, GSM and Bluetooth in a single unit. The main purpose of this tracking system is to locate the exact position of the moving vehicle with the help of satellite. The latitude and longitude of the moving vehicle is identified and send as packets to GPRS. These data packets are transmitted to cloud using mobile networks.
3.1 Collision Perversion Sensor
3.4 Raspberry Pi Processor Fig. 4 Collision Prevention Sensor Collision Prevision Sensor that is displayed using figure 4 is used for sensing the distance of an obstacle. It generates ultrasonic sound that travels through air and hits the obstacle present on its path. Once it hits the obstacle, it will again bounce back to the same module. The distance of the obstacle can be calculated with the help of travelling time and speed of sound. The signal measurement ranges from 2cm to 400cm, the module consists of transmitter, receiver and control circuit. It has four pins namely Ground, VCC, Trig pin and Echo pin is connected to GND. 3.2 Door Sensor
Fig. 7 Pin Description of Raspberry Pi 2 Model B The figure 7 shows the pin description of Raspberry Pi 2 Model B processor. It uses BCM2836 ARMv7 Quad core Processor running at 900 MHz’s. The other features of this model are 1GBRam, 4USBports, 40GPIO pins, HDMI port, Ethernet port, Display interface, Micro SD card slot etc. In this work this processor is used control all the connected sensor and transmits the sense data to the developed application.
Fig. 5 Reed Switch The Reed Switch (RS) that is shown in figure 5 is used to monitor the status of door (open/close) during the transportation. RS has two electrical contacts which are made by hermetically sealed glass envelope. The contacts will open or close normally when magnetic field is applied. Once the magnet is removed from the switch then it will go back to its original position. This type of experiment is used
4. EXPERIMENTAL SETUP
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In this section the hardware setup of the proposed SSTS-FPS is discussed.
The execution of the door sensor is done by running the hardware model in the given path. The time, latitude, longitudes, distance, status of the door sensor are recorded and displayed using table 1. Table 1. Recorded status of Door Sensors Time (HRS ) 2
Time (Min ) 32
Time (Sec)
Latitu de
Longi tude
Distance (m)
Status
1
78
57
50
Closed
2
32
11
78
57
100
Closed
2
32
21
78
57
150
Closed
2
32
31
78
57
200
Closed
2
32
41
78
57
250
Open
5.2 Execution of Collision Prevention Sensor Ultrasonic Sensor is used for distance sensing of an obstacle. Ultrasonic sound generated by the ultrasonic sensor hits the obstacle present on its path. In-case if any obstacle is detected in the identified path, the moving vehicle is instructed to stop and next alternative path need to be selected using intelligent water drops algorithm. The execution of ultrasonic sensor is done by placing the external object in the moving path of the hardware model. Once the object is detected then automatically movement of the model is stopped. The full execution scenario is shown using figure 10.
Fig. 8 Prototype model for SSTS-FPS Here the prototype model is assumed as goods carrying vehicle, if the door at the backside of the vehicle is opens, then alert is given to the driver via alarm and message is sent to owner. In case of accident causing situation occurred, and then the sensor vibrates and stops the moving vehicle. If any obstacle is found then, the alarm is triggered and the driver will be redirected to take the next alternate shortest path using intelligent water drops algorithm.
5. SIMULATION RESULT In this section the proposed application SSTS-FPS is made run and the working of different sensors are recorded. The workings of sensors are discussed under different subsections. 5.1 Execution of Door Sensor If the door of the moving goods carrying vehicle is opened, then a beep sound is generated by the alarm fixed on the vehicle. This type of alert will prevent the theft of goods in the moving vehicle. In this simulation, the prototype model is moving on the given path. The execution of door sensor is done by pressing a button artificially in the prototype model. So that the door will open, then automatically the beep sound is generated and the movement of vehicle is stopped. The message is send to owner of the vehicle that the door is opened. The full scenario of the execution is shown in the figure 9.
Fig. 10 Execution of Collision Prevention Sensor
Table2. Recorded status of Collision Prevention Sensor
Fig. 9 Execution of Door Sensor
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Time (HRS)
Time (Min)
Time (Sec)
Latitu de 87
Lon gitu de 62
Dist ance (m) 50
4
37
1
4
37
11
87
62
100
4
37
21
87
62
150
4
37
31
87
62
200
4
37
41
87
62
250
An application is designed for tracking the moving good carrying vehicle. The data for the proposed SSTS-FPS is generated from the different sensors such as door sensors, vibration sensors, ultra sonic sensor, GPS/GPRS devices and alter can be given using automatic alarm system which is placed in the goods carrying vehicle. Any problem occurred during transportation that is indicated using alarm device. The feasibility of the developed model and application is tested for using it in real time by conducting several experiments. From the experiment it is observed that, proposed SSTS-FPS meets the objective, such as speedy recovery in case of any incidents happened, monitoring the goods carrying containers for secure delivery of ration food items to all the required fair price shops. This kind of Secured Smart Transportation System is more useful for the Indian civil supplies corporation (ICSC) to carry the food material in container with high security all over India.
Status
No obstacle No obstacle No obstacle No obstacle Obstacle found
The execution of the collision prevention sensor is done by running the hardware model in the given path. The recorded status of the collision sensor is displayed using table 2. The execution of alternate path is done by placing the object on the moving path using intelligent water drops algorithm the alternate path is selected. The recorded status of execution on selecting the alternate path is displayed using table 3.
7. REFERENCES 1.
https://en.wikipedia.org/wiki/Public_distribution_syste m. 2. http://www.esri.in/esri-news/publication/vol9issue1/articles/planners-vision-for-smart-cities-in-india. 3. http://metrovaartha.com/en/2015/07/13/cops-foil-bidto-smuggle-rice-to-kerala-3-held/ 4. A.M. Hindawi and I .Talib, Experimentally Evaluation of GPS/GSM Based System Design, Journal of Electronic Systems vol. 2 no.2, (2012), pp.67-69. 5. Kulkarni et.al, Embedded smart car security system on face detection, In proceeding of special issue of IJCCT." ISSN (Online):vol.3 no.1, (2012) pp.112-116. 6. V. Ramya, B. Palaniappan& K. Karthick, Embedded controller for vehicle In-Front obstacle detection and cabin safety alert system, International Journal of Computer Science & Information Technology, vol.4 no.2,(2012), pp.117-131. 7. R.Ramani.,S.Valarmathy, N. SuthanthiraVanitha, S. Selvaraju, M. Thiruppathi, M, R. Thangam, Vehicle tracking and locking system based on GSM and GPS, International Journal of Intelligent Systems and Applications, vol.5 no.9, (2013), pp. 86-93. 8. Alexe, Albert, and R. Ezhilarasie, Cloud computing based vehicle tracking information systems, International journal of Computer Science and Technology, vol.2, no.4,(2011), pp.49-51. 9. C. Peijiang and J. Xuehua, December. Design and Implementation of Remote monitoring system based on GSM, In Computational Intelligence and Industrial Application, PACIIA'08. Pacific-Asia Workshop on Vol. 1, no.6, (2011), pp.678-681. 10. Venkataraman, Vijay, Guoliang Fan, Liangjiang Yu, Xin Zhang, Weiguang Liu, and Joseph P. Havlicek, Automated target tracking and recognition using coupled view and identity manifolds for shape representation, EURASIP Journal on Advances in
Table 3. Recorded status of alternate path using intelligent water drops algorithm Ti me (H RS) 6 6
6 6 6
Tim e (Mi n) 55 55 55 55 55
Ti me( Sec ) 1 11 21 31 41
Latitu de
Long itude
Distan ce(m)
Status
54 54 54 54 54
67 67 67 67 67
50 100 150 200 250
No obstacle No obstacle No obstacle No obstacle Alternate path Selected
5.3 Tracking the moving vehicle using GPS and GPRS The security is ensured by tracking the location of the moving vehicle. The latitudinal and longitudinal extent of the moving vehicle is tracked and sent as SMS to the owner. The execution of tracking of moving vehicle is done by allowing the hardware model to run on its path. The latitudinal and longitudinal position of the moving vehicle is send as message to the owner of the vehicle. The full scenario is displayed using figure11.
Fig. 11 Tracking the moving vehicle using GPS and GPRS
6. CONCLUSION
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