{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:45:15Z","timestamp":1760197515617,"version":"build-2065373602"},"reference-count":37,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2018,7,10]],"date-time":"2018-07-10T00:00:00Z","timestamp":1531180800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71771176; 71601144"],"award-info":[{"award-number":["71771176; 71601144"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National intelligent manufacturing comprehensive standardization and new pattern application of China","award":["2016ZXFM03002; 2016-213"],"award-info":[{"award-number":["2016ZXFM03002; 2016-213"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>In complex discrete manufacturing environment, there used to be a poor network and an isolated information island in production line, which led to slow information feedback and low utilization ratio, hindering the construction of enterprise intelligence. To solve these problems, uncertain factors in the production process and demands of sensor network were analyzed; hierarchical topology design method and the deployment strategy of the complexity industrial internet of things were proposed; and a big data analysis model and a system security protection system based on the network were established. The weight of each evaluation index was calculated using analytic hierarchy process, which established the intelligentized evaluation system and model. An actual production scene was also selected to validate the feasibility of the method. A diesel engine production workshop and the enterprise MES were used as an example to establish a network topology. The intelligence level based on both subjective and objective factors were evaluated and analyzed considering both quantitative and qualitative aspects. Analysis results show that the network topology design method and the intelligentize evaluation system were feasible, could improve the intelligence level effectively, and the network framework was expansible.<\/jats:p>","DOI":"10.3390\/s18072224","type":"journal-article","created":{"date-parts":[[2018,7,11]],"date-time":"2018-07-11T03:24:19Z","timestamp":1531279459000},"page":"2224","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["IoT Hierarchical Topology Strategy and Intelligentize Evaluation System of Diesel Engine in Complexity Environment"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7933-5003","authenticated-orcid":false,"given":"Jiangshan","family":"Liu","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Tongji University, Shanghai 201804, China"}]},{"given":"Ming","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Tongji University, Shanghai 201804, China"}]},{"given":"Tangfeng","family":"Yang","sequence":"additional","affiliation":[{"name":"Kunming Yunnei Power Co., Ltd., Kunming 650217, China"}]},{"given":"Jie","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Tongji University, Shanghai 201804, China"}]}],"member":"1968","published-online":{"date-parts":[[2018,7,10]]},"reference":[{"key":"ref_1","first-page":"674","article-title":"A Study on the Performance of Turbocharged and Intercooled Diesel Engine Working in the Different Altitude Regions","volume":"27","author":"Shen","year":"2005","journal-title":"Automot. Eng."},{"key":"ref_2","first-page":"1119","article-title":"A Research on the Effects of Dynamic Characteristics of Connecting Rod on the Piston Slap of Engine","volume":"34","author":"Zheng","year":"2012","journal-title":"Automot. Eng."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Jazdi, N. (2014, January 22\u201324). Cyber physical systems in the context of Industry 4.0. Proceedings of the IEEE International Conference on Automation, Cluj-Napoca, Romania.","DOI":"10.1109\/AQTR.2014.6857843"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1016\/j.cirpj.2009.12.001","article-title":"Automotive assembly technologies review: Challenges and outlook for a flexible and adaptive approach","volume":"2","author":"Michalos","year":"2010","journal-title":"CIRP J. Manuf. Sci. Technol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1007\/s10796-014-9492-7","article-title":"The Internet of Things: A Survey","volume":"17","author":"Li","year":"2015","journal-title":"Inf. Syst. Front."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Nasr, E.S.A., and Kamrani, A.K. (2008). Intelligent Design and Manufacturing, Springer.","DOI":"10.1007\/978-0-387-47321-5_6"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Shi, C., Sun, Z., and Dong, K. (2009, January 19\u201320). Research on Evaluation Model of Financial Core Competence of Listed Companies of Equipment Manufacturing. Proceedings of the Conference on Knowledge Engineering and Software Engineering, Shenzhen, China.","DOI":"10.1109\/KESE.2009.28"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Li, W., Wang, B., Sheng, J., Dong, K., Li, Z., and Hu, Y. (2018). A Resource Service Model in the Industrial IoT System Based on Transparent Computing. Sensors, 18.","DOI":"10.3390\/s18040981"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1007\/s10845-014-0976-6","article-title":"Intelligent assembly system for mechanical products and key technology based on internet of things","volume":"28","author":"Liu","year":"2017","journal-title":"J. Intell. Manuf."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Wang, G., Zhao, Z., and Ning, Y. (2018). Design of Compressed Sensing Algorithm for Coal Mine IoT Moving Measurement Data Based on a Multi-Hop Network and Total Variation. Sensors, 18.","DOI":"10.3390\/s18061732"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"279","DOI":"10.3390\/s16030279","article-title":"Device Data Ingestion for Industrial Big Data Platforms with a Case Study","volume":"16","author":"Ji","year":"2016","journal-title":"Sensors"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Fraga-Lamas, P., Fern\u00e1ndez-Caram\u00e9s, T.M., Su\u00e1rez-Albela, M., Castedo, L., and Gonz\u00e1lez-L\u00f3pez, M. (2016). A Review on Internet of Things for Defense and Public Safety. Sensors, 16.","DOI":"10.3390\/s16101644"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"752","DOI":"10.1007\/s00170-006-0897-4","article-title":"RFID based wireless manufacturing for real-time management of job shop WIP inventories","volume":"36","author":"Huang","year":"2008","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2745","DOI":"10.1080\/00207540903156517","article-title":"RFID opportunity analysis for leaner manufacturing","volume":"48","author":"Brintru","year":"2010","journal-title":"Int. J. Prod. Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1109\/MCOM.2016.7588228","article-title":"Key design of driving industry 4.0: Joint energy efficient deployment and scheduling in group based industrial wireless sensor networks","volume":"54","author":"Lin","year":"2016","journal-title":"IEEE Commun. Mag."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1007\/s11276-015-1188-5","article-title":"A separation principle for resource allocation in industrial wireless sensor networks","volume":"23","author":"Lin","year":"2017","journal-title":"Wirel. Netw."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"8273","DOI":"10.1109\/ACCESS.2018.2809501","article-title":"QTSAC: An Energy-Efficient MAC Protocol for Delay Minimization in Wireless Sensor Networks","volume":"6","author":"Liu","year":"2018","journal-title":"IEEE Access"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Chen, Y., Lee, J.M., Shu, L., and Crespi, N. (2016). Industrial Internet of Things-Based Collaborative Sensing Intelligence: Framework and Research Challenges. Sensors, 16.","DOI":"10.3390\/s16020215"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.compind.2018.04.015","article-title":"The industrial internet of things (IIoT): An analysis framework","volume":"101","author":"Boyes","year":"2018","journal-title":"Comput. Ind."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Bassi, A., Bauer, M., and Fiedler, M. (2013). Enabling Things of Talk, Springer.","DOI":"10.1007\/978-3-642-40403-0"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"856","DOI":"10.1109\/ACCESS.2014.2347992","article-title":"Semantic Interoperability Architecture for Pervasive Computing and Internet of Things","volume":"2","author":"Kiljander","year":"2014","journal-title":"IEEE Access"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1631\/FITEE.1601885","article-title":"Applications of artificial intelligence in intelligent manufacturing: A review","volume":"18","author":"Li","year":"2017","journal-title":"Front. Inf. Technol. Electron. Eng."},{"key":"ref_23","first-page":"1","article-title":"Leveraging Fog Computing for Scalable IoT Data center Using Spine-Leaf Network Topology","volume":"10","author":"Okafor","year":"2017","journal-title":"Int. J. Innov. Res. Comput. Commun. Eng."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1235","DOI":"10.1109\/JIOT.2016.2577889","article-title":"Multi-objective Topology Optimization Based on Mapping Matrix and NSGA-II for Switched Industrial Internet of Things","volume":"3","author":"Li","year":"2017","journal-title":"IEEE Internet Things J."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Jiang, P., Xu, Y., and Liu, J. (2017). A Distributed and Energy-Efficient Algorithm for Event K-Coverage in Underwater Sensor Networks. Sensors, 17.","DOI":"10.3390\/s17010186"},{"key":"ref_26","unstructured":"Shao, X., Chen, Z., Fu, M., and Gao, L. (2010, January 3\u20137). Multi-objective Topology Optimization of Structures Using NN-OC Algorithms. Proceedings of the International Symposium on Neural Networks: Advances in Neural Networks, Nanjing, China."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1007\/s00158-011-0711-2","article-title":"Classification approach for reliability-based topology optimization using probabilistic neural networks","volume":"45","author":"Patel","year":"2012","journal-title":"Struct. Multidiscip. Optim."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1850091","DOI":"10.1142\/S0217984918500914","article-title":"A method of network topology optimization design considering application process characteristic","volume":"32","author":"Wang","year":"2018","journal-title":"Mod. Phys. Lett. B"},{"key":"ref_29","first-page":"2279","article-title":"Genetic algorithm for solving bicriteria network topology design problem","volume":"12","author":"Kim","year":"2017","journal-title":"Congr. Evol. Comput."},{"key":"ref_30","first-page":"2108","article-title":"Dynamic materials distribution strategy for mixed model assembly lines under uncertainty","volume":"23","author":"Jiang","year":"2017","journal-title":"Comput. Integr. Manuf. Syst."},{"key":"ref_31","unstructured":"Bui, N., Jardak, C., and Magerkurth, C. (2013). Internet of Things Architecture, Elsevier."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1326","DOI":"10.1016\/j.ifacol.2015.06.269","article-title":"A novel safety control hierarchical architecture for prevention and mitigation of critical faults in process industries based on defense-in-depth, reactive systems and safety-diagnosabitity","volume":"48","author":"Squillante","year":"2015","journal-title":"IFAC Papers OnLine"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Lin, Z., Tao, D., and Wang, Z. (2017). Dynamic Construction Scheme for Virtualization Security Service in Software-Defined Networks. Sensors, 17.","DOI":"10.3390\/s17040920"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1007\/s40012-013-0013-5","article-title":"SCADA communication protocols vulnerabilities, attacks and possible mitigations","volume":"1","author":"Pidikiti","year":"2013","journal-title":"CSI Trans. ICT"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2333","DOI":"10.1016\/j.ifacol.2015.06.436","article-title":"Topologically Optimized Diesel Engine Support Manufactured with Additive Manufacturing","volume":"48","author":"Marchesi","year":"2015","journal-title":"IFAC PapersOnLine"},{"key":"ref_36","first-page":"632","article-title":"Study on Evaluating Indicator System of Smart Manufacturing","volume":"3","author":"Yin","year":"2016","journal-title":"Ind. Econ. Rev."},{"key":"ref_37","first-page":"6","article-title":"The discussion on evaluation index and the assessment method of intelligent manufacturing","volume":"41","author":"Gong","year":"2015","journal-title":"Appl. Electron. Tech."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/7\/2224\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:11:29Z","timestamp":1760195489000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/7\/2224"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,10]]},"references-count":37,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2018,7]]}},"alternative-id":["s18072224"],"URL":"https:\/\/doi.org\/10.3390\/s18072224","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2018,7,10]]}}}