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IRJET- Iot Applied to Logistics using Intelligent Cargo
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 04 | Apr-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 191 IOT APPLIED TO LOGISTICS USING INTELLIGENT CARGO B. Sreelatha1, E. Alakananda2, B. Bhavya3 , S. Hari Prasad4 1Asso.Prof, Dept of ECE, GCET, Hyderabad, T.S, INDIA 2,3,4B.Tech, Dept of ECE, GCET, Hyderabad, T.S, INDIA ----------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - The transport logistics sector is no exception,the main issue in this domain is for industrial applications that allow to tag, monitor and transmit information about the freight along the whole transport chain, thus guaranteeingan efficient communication among the supply chain for a prompt intervention and resolution in case of problems and ingeneral to increase the transport efficiency. In an interconnected world, the need to exchange information across domain's boundaries is increasingly common, the concern is rapidly moving towards defining the content that needs to be consumed by numerous and different actors using different platforms and/or software solutions, since the internal processes have been consolidated and optimized.The transport logistics sector is no exception, the main issueinthis domain is for industrial applications thatallowto tag,monitor and transmit information about the freight along the whole transport chain, thus guaranteeing an efficient communication among the supply chain for a prompt intervention and resolution in case of problems and ingeneral to increase the transport efficiency. 1. INTRODUCTION Transport and logistics act in a worldwide distributed business world as an aorta of the economic system. The Logisticsarea has seen a huge growth in the last few years. This growth is on the one hand a result of the globalization which has led to international supply chains requiring sophisticate logistics concepts. The exponential growth of ecommerce has additionally boosted the need for logisticsconcept. While the overall consignmentnumberhas increased the consignment size has decreased, leading to more and smaller consignmentsthat need to be transported to different locations. The smaller consignmentsposeahuge problem to the logistics services providers and their goal to keep the bundling of the consignmentsaslong as possible in order to enable the best usage of the transport vehicleswith as much consignments as possible. This goal hasn’t been reached so far and thus e.g. the utilization of trucks is in some countries lower than 70%.This rather weak utilization of the transport vehicles does not only pose an economic problem to the logistics services providers as well as forwarders, but also poses a substantial problem to our environment. The emissions caused by transport are still very high, as for example within the transport sector accounted for 23% of total CO2 emissions, with road transport generating 71% of total transport emissions in 2006, and are expected to increase until 2030. The ultimate goal therefore has to be to increase the utilization of the transport vehicles. 2. LITERATURE SURVEY There are many contributions taking the “public transportation” perspective (i.e. the viewpoint of public stakeholders), papers focusing on the “private transportation” perspective (i.e. the viewpoint of theprivate companiesoffering logisticsand transportationservices)are fewer and relatively more recent. Additionally, even though in recent yearsresearchers have also started to examine the decision‐making process of, many themes are under‐represented in literature, such as the subject of integration among different application types, empirical research on the role of technology providersin the adoption process. As far as the methodology is concerned, the review revealed that many of the papers examined are either conceptual papersor empirical studies (i.e. mostly based on surveys, or else on case studies or interviews), while simulation and modeling are rarely present. While efforts were made to be all‐inclusive, significant research efforts may have been inadvertently omitted. However, the authors believe that this review is an accurate representation of the body of research on logistics and transportation companies published during the specified timeframe, and feel that confidence may be placed on the resulting assessments. 3. BLOCK DIAGRAM
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 04 | Apr-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 192 4. FLOWCHART 5. WORKING PRINCIPLE An initiation of our project we will check and tearweightofa weighing panel using load cell & HX711 module. Identify exact weight of cargo or package which is placed above weighing panel using load cell &hx711 module. The identified weight of cargo is stored in database which is present remotely through internet. Speed of cargo movement is detected using gps module. As and when the cargo is in movement with a minimum speed limit, the weight of cargo will be recursively checked withexact value stored in database through programming logic.Asthe speed exceeds minimum limit we consider weight values as noisy data since g-forces and other forces will act on cargo. Recursively we keep on detecting speed using gps module. As on when the speed gets into minimum limit, we keep tracking the weight of cargo. From the above scenario if we found any manipulation of cargo weight, we will obtain longitude, latitude, altitude & time using gps module. The monitored values are sent in 2 forms:- Sms using gsm module. Database which is present remotely using internet 6. ADVANTAGES Manipulation of cargo can be easily tracked. Cargo will be in surveillance during the transition between source and destination. 7. DISADVANTAGE Internet connectivity is mandatory. 8. RESULTS Fig.1 When cargo is empty Fig.2 Checking initial weight Fig.3 When loaded button is pressed Fig.4 When cargo is loaded Fig.5 When cargo is loaded checking the weight Fig.6 Start record Fig.7 Cargo is manipulated Fig.8 GPS is invoked when cargo is manipulated
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 05 Issue: 04 | Apr-2018 www.irjet.net p-ISSN: 2395-0072 © 2018, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 193 Fig.9 Message invoked through gsm latitude & longitude is displayed Fig.10 Manipulated Record Fig.11 When unloaded button is pressed Fig.12 Printing when cargo is unloaded Fig.13 End record 9. CONCLUSION In this project we have implemented an intelligent cargo system for efficient transportation of goods from a given source to destination. The sensors are simulated using the route map. The most preferential route is taken in order to effectively maintain the state of the product in the desirable state. Simulation is used to generate the trajectories of a route. As future work real time situations like traffic, truck breakdown and catastrophic effects can be considered in order to improve the results. In this paper we have implemented an intelligent cargo system for efficient transportation of goods from a given source to destination. The most preferential route is taken in order to effectively maintain the state of the product in the desirable state. The machine learning algorithms like decision tree, K-Nearest Neighbors are used to learn from the past experiences and decide on the best possible route to maintain the freshness of the products. We use a training set to learn and the results obtained from them are used to decide future predictions. These predictions are applied to a test set. In addition to finding the optimized route, the vehicles are tracked based on the GPS trajectories. Simulation is used to generate the trajectories of a route. As future work real time situations like traffic, truck breakdown and catastrophic effects can be considered in order to improve the results. Real time sensor data could be obtained using various routing protocolsover the wireless medium. 10. REFERENCES [1].Daniele Miorandi, Sabrina Sicari, FrancescoDePellegrini, ImrichChlamtac, (2012) Internet of things: Vision, applications and research challenges,Ad Hoc Networks 10.1497–1516. [2] José Santa, Miguel A. Zamora-Izquierdo, Antonio J.Jara, Antonio F. Gómez-Skarmeta (2012), “Telematic platformfor integral management of agricultural/perishable goods in terrestrial logistics”. ELSEVIER, Computers and Electronics in Agriculture 80, 31–40. [3] Myo Min Aung, Yoon Seok Chang, (2014) Traceabilityina food supply chain: Safety and quality perspectives, Food Control 39 .172-184. [ [4] M.C. Tirado a, R. Clarke b, L.A. Jaykus c,McQuattersGollopd,J.MFranke(2012) ”Climate changeand food safety: A review”. ELSEVIER, Food Research International 43, 1745–1765. BIOGRAPHIES B. Sreelatha Associate Professor, Electronics and Communication Geethanjali College of Engineering and Technology, Hyderabad, Telangana,INDIA. E. Alakananda B. Tech, Electronics and communication Engineering Geethanjali College of Engineering and Technology, Hyderabad, Telangana, INDIA B. Bhavya B. Tech Electronics and Communication Engineering Geethanjali College of Engineering and Technology Hyderabad, Telangana, INDIA S. Hari Prasad B. Tech Computer Science and Engineering Geethanjali College of Engineering and Technology Hyderabad, Telangana, INDIA
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