{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T06:08:17Z","timestamp":1775023697788,"version":"3.50.1"},"reference-count":56,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2019,4,28]],"date-time":"2019-04-28T00:00:00Z","timestamp":1556409600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003661","name":"Korea Institute for Advancement of Technology","doi-asserted-by":"publisher","award":["N0002429"],"award-info":[{"award-number":["N0002429"]}],"id":[{"id":"10.13039\/501100003661","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2017R1D1A1A02018718"],"award-info":[{"award-number":["2017R1D1A1A02018718"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002461","name":"Chungbuk National University","doi-asserted-by":"publisher","award":["2016"],"award-info":[{"award-number":["2016"]}],"id":[{"id":"10.13039\/501100002461","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JSAN"],"abstract":"<jats:p>The Internet of Things (IoT) is the global network of interrelated physical devices such as sensors, actuators, smart applications, objects, computing devices, mechanical machines, and people that are becoming an essential part of the internet. In an industrial environment, these devices are the source of data which provide abundant information in manufacturing processes. Nevertheless, the massive, heterogeneous, and time-sensitive nature of the data brings substantial challenges to the real-time collection, processing, and decision making. Therefore, this paper presents a framework of an IoT-based Industrial Data Management System (IDMS) which can manage the huge industrial data, support online monitoring, and control smart manufacturing. The framework contains five basic layers such as physical, network, middleware, database, and application layers to provide a service-oriented architecture for the end users. Experimental results from a smart factory case study demonstrate that the framework can manage the regular data and urgent events generated from various factory devices in the distributed industrial environment through state-of-the-art communication protocols. The collected data is converted into useful information which improves productivity and the prognosis of production lines.<\/jats:p>","DOI":"10.3390\/jsan8020025","type":"journal-article","created":{"date-parts":[[2019,4,29]],"date-time":"2019-04-29T02:57:32Z","timestamp":1556506652000},"page":"25","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":114,"title":["Framework of an IoT-based Industrial Data Management for Smart Manufacturing"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5877-6432","authenticated-orcid":false,"given":"Muhammad","family":"Saqlain","sequence":"first","affiliation":[{"name":"Department of Computer Science, Chungbuk National University, Cheongju, Chungbuk 28644, Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7348-0752","authenticated-orcid":false,"given":"Minghao","family":"Piao","sequence":"additional","affiliation":[{"name":"Department of Smart Factory Management, Chungbuk National University, Cheongju, Chungbuk 28644, Korea"}]},{"given":"Youngbok","family":"Shim","sequence":"additional","affiliation":[{"name":"Department of Digital Information Convergence, Chungbuk National University, Cheongju, Chungbuk 28644, Korea"}]},{"given":"Jong Yun","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Chungbuk National University, Cheongju, Chungbuk 28644, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2019,4,28]]},"reference":[{"key":"ref_1","first-page":"2509","article-title":"Challenges and Research Issues of Data Management in IoT for Large-Scale Petrochemical Plants","volume":"12","author":"Han","year":"2017","journal-title":"IEEE Syst. J."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Sasajima, H., Ishikuma, T., and Hayashi, H. (2015, January 28\u201330). Future IIOT in process automation-Latest trends of standardization in industrial automation. Proceedings of the 2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), Hangzhou, China.","DOI":"10.1109\/SICE.2015.7285569"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.mfglet.2013.09.005","article-title":"An Recent advances and trends in predictive manufacturing systems in big data environment","volume":"1","author":"Lee","year":"2013","journal-title":"Manuf. Lett."},{"key":"ref_4","first-page":"1","article-title":"An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities","volume":"2","author":"Leahy","year":"2015","journal-title":"J. Big Data"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Ali, N., and Hong, J.-E. (2018). Failure Detection and Prevention for Cyber-Physical Systems Using Ontology-Based Knowledge Base. Computers, 7.","DOI":"10.3390\/computers7040068"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/s10845-013-0774-6","article-title":"Health assessment and life prediction of cutting tools based on support vector regression","volume":"26","author":"Benkedjouh","year":"2015","journal-title":"J. Intell. Manuf."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.jmsy.2016.03.001","article-title":"The evolution and future of manufacturing: A review","volume":"39","author":"Esmaeilian","year":"2016","journal-title":"J. Manuf. Syst."},{"key":"ref_8","first-page":"314","article-title":"Prognostics and health management design for rotary machinery systems\u2014Reviews, methodology and applications","volume":"42","author":"Ghaffari","year":"2013","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Stouffer, K., Pillitteri, V., Lightman, S., Abrams, M., and Hahn, A. (2015). Guide to Industrial Control Systems (ICS) Security.","DOI":"10.6028\/NIST.SP.800-82r2"},{"key":"ref_10","unstructured":"(2018, September 15). Xively IoT Platform for Connected Devices\u2014Xively 2018. Available online: https:\/\/xively.com."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Qin, W., Li, Q., Sun, L., Zhu, H., and Liu, Y. (2011, January 24\u201326). RestThing: A restful web service infrastructure for mash-up physical and web resources. Proceedings of the 2011 IFIP 9th International Conference on Embedded and Ubiquitous Computing, Melbourne, VIC, Australia.","DOI":"10.1109\/EUC.2011.59"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"15582","DOI":"10.3390\/s131115582","article-title":"Data management for the Internet of Things: Design primitives and solution","volume":"13","author":"Hayajneh","year":"2013","journal-title":"Sensors"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1109\/JIOT.2015.2498900","article-title":"Middleware for Internet of Things: A Survey","volume":"3","author":"Razzaque","year":"2016","journal-title":"IEEE Int. Things J."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Huacarpuma, R.C., De Sousa Junior, R.T., De Holanda, M.T., Albuquerque, R., de Oliveira Albuquerque, R., Villalba, L.J.G., and Kim, T.H. (2017). Distributed data service for data management in internet of things middleware. Sensors, 17.","DOI":"10.3390\/s17050977"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.jmsy.2018.02.002","article-title":"Part data integration in the Shop Floor Digital Twin: Mobile and cloud technologies to enable a manufacturing execution system","volume":"48","author":"Lynn","year":"2018","journal-title":"J. Manuf. Syst."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Shrouf, F., Ordieres, J., and Miragliotta, G. (2014, January 9\u201312). Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm. Proceedings of the 2014 IEEE International Conference on Industrial Engineering and Engineering Management, Bandar Sunway, Malaysia.","DOI":"10.1109\/IEEM.2014.7058728"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.jmsy.2017.10.003","article-title":"A flexible data schema and system architecture for the virtualization of manufacturing machines (VMM)","volume":"45","author":"Angrish","year":"2017","journal-title":"J. Manuf. Syst."},{"key":"ref_18","unstructured":"(2018, April 21). i-SCOOP The Industrial Internet of Things (IIoT): The Business Guide to Industrial IoT. Available online: https:\/\/www.i-scoop.eu\/internet-of-things-guide\/industrial-internet-things-iiot-saving-costs-innovation."},{"key":"ref_19","unstructured":"Moskvitch, K. (2018, April 09). Industrial Internet of Things: Data Mining for Competitive Advantage. Available online: https:\/\/eandt.theiet.org\/content\/articles\/2017\/02."},{"key":"ref_20","unstructured":"(2019, January 05). Industrial Analytics 2016\/2017. Available online: https:\/\/digital-analytics-association.de\/wp-content\/uploads\/2016\/03\/Industrial-Analytics-Report-2016-2017-vp-singlepage.pdf."},{"key":"ref_21","unstructured":"(20th CEO Surv. Rep., 2017). PwC 20 years inside the mind of the CEO\u2026 What\u2019s next?, 20th CEO Surv. Rep."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Bloom, G., Alsulami, B., Nwafor, E., and Bertolotti, I.C. (2018, January 13\u201315). Design patterns for the industrial Internet of Things. Proceedings of the 2018 14th IEEE International Workshop on Factory Communication Systems (WFCS), Imperia, Italy.","DOI":"10.1109\/WFCS.2018.8402353"},{"key":"ref_23","unstructured":"Heymann, E. (2018, December 19). German Auto Industry: WLTP Followed by Lacklustre Demand. Available online: https:\/\/www.dbresearch.com\/PROD\/RPS_EN-PROD\/PROD0000000000489273.pdf."},{"key":"ref_24","first-page":"24","article-title":"A survey on industrial automation based on IoT with arduino microcontroller","volume":"4","author":"Jayasri","year":"2018","journal-title":"Int. J. Cont. Res. Comp. Sci. Technol. (IJCRCST)"},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Wu, G., Talwar, S., Johnsson, K., Himayat, N., and Johnson, D.K. (2011). M2M: From Mobile to Embedded Internet. IEEE Commun. Mag., 36\u201343.","DOI":"10.1109\/MCOM.2011.5741144"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"3655","DOI":"10.1109\/JSEN.2013.2266417","article-title":"On optimal scheduling in duty-cycled industrial iot applications using IEEE802.15.4e TSCH","volume":"13","author":"Palattella","year":"2013","journal-title":"IEEE Sens. J."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1355","DOI":"10.1109\/JIOT.2016.2600630","article-title":"An IoT-Based Online Monitoring System for Continuous Steel Casting","volume":"3","author":"Zhang","year":"2016","journal-title":"IEEE Int. Things J."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1123","DOI":"10.1007\/s00170-011-3358-7","article-title":"Fundamental technology for RFID-based supervisory control of shop floor production system","volume":"57","author":"Wang","year":"2011","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Khatri, V.K., Ghangro, A.J., Kumar, J., and Haque, S.J.U. (2009, January 4\u20136). Industrial data acquisition and control system using two PLCs\u2019 networked over MPI network. Proceedings of the 2009 IEEE Symposium on Industrial Electronics & Applications, Kuala Lumpur, Malaysia.","DOI":"10.1109\/ISIEA.2009.5356437"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"12199","DOI":"10.1109\/ACCESS.2017.2719706","article-title":"Social Behaviometrics for Personalized Devices in the Internet of Things Era","volume":"5","author":"Anjomshoa","year":"2017","journal-title":"IEEE Access"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"220","DOI":"10.1007\/978-3-642-24755-2_21","article-title":"Service Oriented Middleware for the Internet of Things","volume":"Volume 257178","author":"Teixeira","year":"2011","journal-title":"Towards a Service-Based Internet"},{"key":"ref_32","unstructured":"Fremantle, P. (2015). A Reference Architecture for the Internet of Things, Technical Report for WSO2."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1016\/j.cirp.2015.05.011","article-title":"CIRP Annals\u2014Manufacturing Technology Cloud-enabled prognosis for manufacturing","volume":"64","author":"Gao","year":"2015","journal-title":"CIRP Ann. Manuf. Technol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"58182","DOI":"10.1109\/ACCESS.2018.2874592","article-title":"Context-aware data-driven intelligent framework for fog infrastructures in internet of vehicles","volume":"6","author":"Iqbal","year":"2018","journal-title":"IEEE Access"},{"key":"ref_35","unstructured":"Song, G.W.D. (2017). Internet of things and data analytics handbook. Int. Things Data Anal. Handb., 613\u2013630."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Aloqaily, M., Otoum, S., Al Ridhawi, I., and Jararweh, Y. (2019). An intrusion detection system for connected vehicles in smart cities. Ad Hoc Netw.","DOI":"10.1016\/j.adhoc.2019.02.001"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Abdul-Ghani, H.A., and Konstantas, D. (2019). A comprehensive study on Security and Privacy Guidelines, Threats and Countermeasures: An IoT Perspective. Manuscr. Submitt. Publ., 8.","DOI":"10.3390\/jsan8020022"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/LSENS.2017.2752719","article-title":"Detection of Known and Unknown Intrusive Sensor Behavior in Critical Applications","volume":"1","author":"Otoum","year":"2017","journal-title":"IEEE Sens. Lett."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1108\/JMTM-02-2018-0057","article-title":"The future of manufacturing industry: A strategic roadmap toward Industry 4.0","volume":"29","author":"Ghobakhloo","year":"2018","journal-title":"J. Manuf. Technol. Manag."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.procir.2016.07.038","article-title":"Industrial Big Data as a Result of IoT Adoption in Manufacturing","volume":"55","author":"Mourtzis","year":"2016","journal-title":"Procedia CIRP"},{"key":"ref_41","unstructured":"(2018, November 09). I-SCOOP The Internet of Things (IoT)\u2013essential IoT business guide 2017, 1. Available online: https:\/\/www.i-scoop.eu\/internet-of-things-guide."},{"key":"ref_42","first-page":"3","article-title":"Big Data computing and clouds: Trends and future directions","volume":"79\u201380","author":"Netto","year":"2014","journal-title":"J. Parallel Distrib. Comput."},{"key":"ref_43","unstructured":"Baily, M., and Manyika, J. (2018, November 17). Is manufacturing \u201ccool\u201d again?. Available online: https:\/\/www.brookings.edu\/opinions\/is-manufacturing-cool-again."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.jmsy.2017.02.011","article-title":"A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing","volume":"43","author":"Wu","year":"2017","journal-title":"J. Manuf. Syst."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"17543","DOI":"10.1109\/ACCESS.2017.2741105","article-title":"Industrial Big Data Analysis in Smart Factory: Current Status and Research Strategies","volume":"5","author":"Xu","year":"2017","journal-title":"IEEE Access"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"2561","DOI":"10.1016\/j.jpdc.2014.01.003","article-title":"Trends in big data analytics","volume":"74","author":"Kambatla","year":"2014","journal-title":"J. Parallel Distrib. Comput."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Yang, D.-L., Liu, F., and Liang, Y.-D. (2010, January 4\u20136). A Survey of the Internet of Things. Proceedings of the 2010 International Conference on E-Business Intelligence, Fukuoka, Japan.","DOI":"10.2991\/icebi.2010.72"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Kocakulak, M., and Butun, I. (2017, January 9\u201311). An overview of Wireless Sensor Networks towards internet of things. Proceedings of the 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas, NV, USA.","DOI":"10.1109\/CCWC.2017.7868374"},{"key":"ref_49","unstructured":"(2018, September 21). OPC Foundation OPC Unified Architecture\u2014The Interoperability Standard. Available online: https:\/\/downloads.prosysopc.com\/downloads\/opc-brochure-2013-v2.pdf."},{"key":"ref_50","unstructured":"(2018, November 14). Practical Security Guidelines for Building OPC UA Applications. Available online: https:\/\/opcconnect.opcfoundation.org\/2018\/06\/practical-security-guidelines-for-building-opc-ua-applications\/."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Ma, M., Wang, P., and Chu, C.H. (2013, January 20\u201323). Data management for internet of things: Challenges, approaches and opportunities. Proceedings of the 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, Beijing, China.","DOI":"10.1109\/GreenCom-iThings-CPSCom.2013.199"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2787","DOI":"10.1016\/j.comnet.2010.05.010","article-title":"The Internet of Things: A survey","volume":"54","author":"Atzori","year":"2010","journal-title":"Comput. Netw."},{"key":"ref_53","unstructured":"(2018, April 09). Apache Kafka Guide. Available online: https:\/\/www.cloudera.com\/documentation\/enterprise\/6\/6.0\/topics\/kafka.html."},{"key":"ref_54","unstructured":"Jain, A., and Nalya, A. (2018, July 15). Available online: https:\/\/www.oreilly.com\/library\/view\/learning-storm\/9781783981328\/."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.jmsy.2018.01.003","article-title":"Deep learning for smart manufacturing: Methods and applications","volume":"48","author":"Wang","year":"2018","journal-title":"J. Manuf. Syst."},{"key":"ref_56","first-page":"98","article-title":"The rise of \u201cbig data\u201d on cloud computing: Review and open research issues","volume":"47","author":"Mokhtar","year":"2014","journal-title":"Inf. Syst."}],"container-title":["Journal of Sensor and Actuator Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2224-2708\/8\/2\/25\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:47:48Z","timestamp":1760186868000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2224-2708\/8\/2\/25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4,28]]},"references-count":56,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2019,6]]}},"alternative-id":["jsan8020025"],"URL":"https:\/\/doi.org\/10.3390\/jsan8020025","relation":{},"ISSN":["2224-2708"],"issn-type":[{"value":"2224-2708","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,4,28]]}}}