Research on Design and Monitoring of a Development Index of an Industrial Internet Platform Based on a Fixed-Base Index Method
Abstract
:1. Introduction
1.1. Research Background
1.2. Related Works
2. The Development Level of Industrial Internet Platform
2.1. The Monitoring Target for the Development Index of Industrial Internet Platform
2.2. Data Samples on Industrial Internet Platform
2.3. Long-Cycle and Continuous Dynamic Monitoring for the Development Index of Industrial Internet Platform
3. Design Method for the Development Index of Industrial Internet Platform
4. The Fixed Base Index Method for the Development Index of Industrial Internet Platform
4.1. Monitoring Target System
4.1.1. Key Capability Indicators of Industrial Internet Platform
4.1.2. Value Effectiveness Index of Industrial Internet Platform
4.2. Series Index
4.3. Typical Samples
4.4. Calculation Method
4.4.1. Determination of Base Period Index
4.4.2. Process Collection Item
4.4.3. Sub Index Calculation
- First item; Summing the information collection items of the five sub-index corresponding to each sample platform in 2018, 2019, and 2020, then obtained Snij, the sum of information collection items for each year corresponding to each sub-index. In which:N represents time, N = 0 corresponds to 2018; N = 1 corresponds to 2019, and so on.i represents the category of sub-index information collection item. I = 1 corresponds to the Industrial equipment access index; I = 2, corresponds to the Industrial knowledge accumulation index; I = 3, corresponds to the Industrial APP development index; I = 4, corresponds to the Platform application promotion index; I = 5 corresponds to the Platform value benefit index.j is the category of information collection items to which each sub-index belongs, and j = 1 corresponds to the information collection item of Quantity of industrial equipment access; j = 2, corresponding to the quantity of compatible industrial protocols and so on.
- Taking 2018 as the base period, calculate the index value Knij of information collection items corresponding to each sub-index in each year, respectively. j is the number of information collection items corresponding to each sub-index. The calculation formula is as follows:
- 2018’s base period index is 100, and the sub-index value cnij of each year is calculated as follows:
4.4.4. Aggregative Index Calculation
5. Analysis for the Development Index of Industrial Internet Platform
5.1. Trend of Rapid Growth
5.2. The Cloud on Industrial Equipments
5.3. The Accumulation Level of Industrial Internet Platform
5.4. The Development of Industrial Internet Platform APP
5.5. Expansion to the Vast Number of Enterprises and Vertical Industries
5.6. The Potential Counter-Trend Development
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
- Wu, X.D.; Zhu, X.Q.; Wu, G.Q.; Ding, W. Data mining with big data. IEEE Trans. Knowl. Data Eng. 2014, 26, 97–107. [Google Scholar]
- Armbrust, M.; Fox, A.; Griffith, R.; Joseph, A.D.; Katz, R.H.; Konwinski, A.; Lee, G.; Patterson, D.A.; Rabkin, A.; Stoica, I.; et al. Above the Clouds: A Berkeley View of Cloud Computting; Department of Electrical Engineering and Computer Sciences, University of California: Berkeley, CA, USA, 2009; Tech. Rep. UCB/EECS-2009-28. [Google Scholar]
- Yick, J.; Mukherjee, B.; Ghosal, D. Wireless sensor network survey. Comput. Netw. 2008, 52, 2292–2330. [Google Scholar] [CrossRef]
- Russell, S.J.; Norvig, P. Artificial Intelligence: A Modern Approach; Pearson Education: Upper Saddle River, NJ, USA, 2009. [Google Scholar]
- State Council of the People’s Republic of China. Guidance on Deepening "Internet + Advanced Manufacturing Industry" and Developing Industrial Internet; State Council of the people’s Republic of China: Beijing, China, 2017.
- Industrial Internet Consortium Working Committees, Cambridge, MA, USA. The Industrial Internet of Things Volume G1: Reference Architecture. Available online: https://www.iiconsortium.org/IIRA.htm (accessed on 8 September 2021).
- Alliance of Industrial Internet, Beijing, China. White Paper of Industrial Internet Platform. Available online: http://www.aii-alliance.org/bps/20200302/827.html (accessed on 8 September 2021).
- Wang, J.; Xu, C.; Zhang, J.; Bao, J.; Zhong, R. A collaborative architecture of the industrial Internet platform for manufacturing systems. Robot. Comput. Integr. Manuf. 2020, 61, 101854. [Google Scholar] [CrossRef]
- Yang, X.; Shi, X.H.; Shen, Y.; Duan, H.B.; Zhu, X.T. Edge computing applications and technical architecture of 5G industrial Internet. Appl. Electron. Tech. 2019, 45, 25–33. [Google Scholar]
- Industrial Internet Consortium, Needham, MA, USA. IoT Security Maturity Model: Description and Intended Use. Available online: https://www.iiconsortium.org/pdf/SMM_Description_and_Intended_Use_V1.2.pdf (accessed on 9 September 2021).
- Cheng, Y.; Peng, J.; Gu, X.; Zhang, X.; Liu, W.; Zhou, Z. An intelligent supplier evaluation model based on data-driven support vector regression in global supply chain. Comput. Ind. Eng. 2020, 139, 105834.1–105834.11. [Google Scholar] [CrossRef]
- Wang, H.; Chen, Z.; Zhao, J.; Di, X.; Liu, D. A vulnerability assessment method in industrial Internet of Things based on attack graph and maximum flow. IEEE Access 2018, 6, 8599–8609. [Google Scholar] [CrossRef]
- Zhang, X.Y.; Ming, X.G. A comprehensive industrial practice for Industrial Internet Platform (IIP): General model, reference architecture, and industrial verification. Comput. Ind. Eng. 2021, 158, 107426. [Google Scholar] [CrossRef]
- Radanliev, P.; De Roure, D.C.; Nicolescu, R.; Huth, M.; Montalvo, R.M.; Cannady, S.; Burnap, P. Future developments in cyber risk assessment for the Internet of Things. Comput. Ind. 2018, 102, 14–22. [Google Scholar] [CrossRef]
- Adamsky, F.; Aubigny, M.; Battisti, F.; Carli, M.; Cimorelli, F.; Cruz, T.; Di Giorgio, A.; Foglietta, C.; Galli, A.; Giuseppi, A.; et al. Integrated protection of industrial control systems from cyber-attacks: The ATENA approach. Int. J. Crit. Infrastruct. Prot. 2018, 21, 72–82. [Google Scholar] [CrossRef]
- Berman, S.J. Digital transformation: Opportunities to create new business models. Strategy Leadersh. 2012, 40, 16–24. [Google Scholar] [CrossRef]
- Xu, Z.; Zhang, J.; Song, Z.; Liu, Y.; Li, J.; Zhou, J. A scheme for intelligent blockchain-based manufacturing industry supply chain management. Computing 2021, 103, 1771–1790. [Google Scholar] [CrossRef]
- Ruan, M. Pollution risk combination optimization control method for drinking water’s intelligent cold chain supply chain. Arab. J. Geosci. 2021, 14, 1–10. [Google Scholar] [CrossRef]
- Industrial Internet Industry Alliance. Industrial Internet maturity Assessment White Paper. Available online: https://www.miit.gov.cn/n973401/n5993937/n5993968/c6002364/part/6002369.pdf (accessed on 9 September 2021).
- Resende, C.; Folgado, D.; Oliveira, J.; Franco, B.; Moreira, W.; Oliveira-Jr, A.; Cavaleiro, A.; Carvalho, R. TIP4.0: Industrial Internet of Things Platform for Predictive Maintenance. Sensors 2021, 21, 4676. [Google Scholar] [CrossRef]
- Contreras-Masse, R.; Ochoa-Zezzatti, A.; García, V.; Perez-Dominguez, L.; Elizondo, M. Implementing a Novel Use of Multicriteria Decision Analysis to Select IIoT Platforms for Smart Manufacturing. Symmetry 2020, 12, 368. [Google Scholar] [CrossRef] [Green Version]
- IMPULS Foundation of VDMA. Industry 4.0 Readiness. Available online: https://industrie40.vdma.org/documents/4214230/26342484/Industrie_40_Readiness_Study_1529498007918.pdf/Ob5fd52l-9ee2-2de0-f377-93bdd01edlc8 (accessed on 12 October 2021).
- Singapore Economic Development Board. The Singapore Smart Industry Readiness lndex. Available online: https://www.gov.sg/-/sgpcmedia/media_releases/edb/press_release/P-20171ll3-l/attachment/The%20Singapore%20Smart%20Industry%20Readiness%20Index%20-%20Whitepaper_final.pdf (accessed on 12 October 2021).
- Deloitte. Digital Maturity Model Achieving Digital Maturity to Drive Growth. Available online: https://www2.deloitte.com/content/dam/Deloitte/globaVDocuments/Technology-Media-Telecommunications/deloitte-digital-maturity-model.pdf (accessed on 12 October 2021).
- Sui, T.; Mo, Y.; Marelli, D.; Sun, X.M.; Fu, M. The vulnerability of cyber-physical system under stealthy attacks. IEEE Trans. Autom. Control. 2020, 66, 637–650. [Google Scholar] [CrossRef] [Green Version]
- Sui, T.; Sun, X.M. The vulnerability of distributed state estimator under stealthy attacks. Automatica 2021, 133, 109869. [Google Scholar] [CrossRef]
- Marelli, D.; Sui, T.; Fu, M.; Lu, R. Statistical approach to detection of attacks for stochastic cyber-physical systems. IEEE Trans. Autom. Control. 2020, 66, 849–856. [Google Scholar] [CrossRef] [Green Version]
- Hu, G.Q.; Ma, P.C. Trend Determination and Application of Fixed-base Index Number. J. Henan Inst. Eng. 2010, 22, 31–33. [Google Scholar]
- Liu, B.; Jiang, G.Y.; Li, H.; Chen, J.D.; Wu, L.; Chen, Y.J. Scheme Design and Empirical Research on an Index System for Road Freight in Ningbo Region. Procedia Soc. Behav. Sci. 2014, 138, 223–232. [Google Scholar] [CrossRef] [Green Version]
- Wang, Z.L.; Lan, J.; Zhou, W.P.; Ning, W.U.; Tan, S.M. Researeh on Qingdao Science and Technology Innovation Index. Sci. Technol. Ind. 2018, 18, 79–83. [Google Scholar]
- Jiang, Y.S. Prediction Analysis on the Trend of the Producer Price index of China. Logist. Eng. Manag. 2014, 36, 101–102. [Google Scholar]
- Liu, X.; He, H.; Chang, J.; Ming, L. The Empirical Research of Relation Between Price and Supply and Demand of Coal in China. J. Syst. Sci. Inf. 2012, 10, 387–394. [Google Scholar]
- Stacho, Z.; Stachová, K.; Raišienė, A.G. Changes in approach to employee development in organizations on a regional scale. J. Int. Stud. 2019, 12, 299–308. [Google Scholar] [CrossRef] [PubMed]
- Cui, S.Q. Discussion on the evaluation method of economic and social coordinated development based on fixed base index. Stat. Res. 2011, 28, 65–66. [Google Scholar]
- Ministry of Industry and Information Technology: By the End of Last Year, the Number of Small and Medium-Sized Enterprises in China Had Exceeded 30 Million. Available online: https://news.sina.com.cn/o/2019-09-20/doc-iicezzrq7214185.shtml (accessed on 13 October 2021).
Primary Indicators | Secondary Indicators | Information Collection Items | Descriptions of Collection Items |
---|---|---|---|
Critical capabilities of the platform | Industrial equipment access | Quantity of industrial equipment access | It particularly refers to the number of industrial devices connected to the cloud platform or edge extending of the Industrial Internet. In addition to the devices directly involved in production, it also includes smart devices such as household appliances, bicycles, and industrial computers but does not include mobile terminals such as mobile phones and iPads. |
Type of industrial equipment access | It specifically refers to the type of industrial equipment connected to the Industrial Internet cloud platform or edge side. We can classify platform enterprises according to the actual situation of their own industry and field, with reference to the national standard of classification and code of fixed assets (GB/T 14885-2010) | ||
Quantity of compatible industrial protocols | The quantity of industrial protocols that the Internet of Things (IoT) can support includes not only mainstream industrial communication protocols such as fieldbus, industrial ethernet, and industrial wireless but also private industrial protocols defined by the enterprises themselves. | ||
Industrial mechanism model | Quantity of industrial mechanism models | The industrial mechanism model is a mathematical model established by using industry knowledge, theorem, law, and principle based on the internal mechanism of industrial production processes or physical-chemical processes. | |
Type of industrial mechanism models | It includes R&D simulation model, business process model, industry mechanism model, data algorithm model, and other types of models. | ||
Development and utilization of industrial APP | Quantity of industrial APP | Application software based on platform development and deployment for specific scenarios that can include fundamental, industry-general, and enterprise-specific industrial APP, excluding general system software and application software, such as computer operating systems, general database systems, office software, etc. | |
Quantity of industrial killer-APP subscribed | It refers to the subscription number of industrial killer APPs, which is the top 15 APPs that have been called more than 5000 times on the platform. | ||
Number of registered developers | The number of registered developers refers to the number of developers who have registered through the platform and developed based on the tools and environment provided by the platform up to the reporting period. Each registered account of the platform is counted as one developer, including individual developer and enterprise developer. | ||
Number of active developers | The number of developers who have uploaded at least one industrial APP in the past six months. |
Primary Indicators | Secondary Indicators | Information Collection Items | Descriptions of Collection Items |
---|---|---|---|
Platform value effectiveness | Platform application and promotion | The number of registered enterprises | It refers to the total number of enterprises registered on the website of the enterprise Industrial Internet Platform. |
The number of service enterprises | It refers to the total number of enterprises providing services based on an Industrial Internet Platform or business on the platform, including charged and free enterprise users. This indicator is the cumulative arrival value. | ||
The number of covered industries | Covered industries refer to those that offer platform-related services or solutions that are applied in the industry and help enterprise users achieve economic or social benefits. | ||
Platform value benefit | Cumulative main business revenue | It refers to the total business revenue of the enterprise engaged in platform services or production and operation activities. Please fill in according to the accounting practice. | |
ROI | The rate of Return on Investment (ROI) is the value that should be returned through investment, that is, the economic return from the investment activities related to the construction and application of an Industrial Internet Platform. |
Series Index | Index Description |
---|---|
Industrial equipment access index | Characterizes the access and compatibility of the platform for massive, multi-source, and heterogeneous industrial devices. |
Industrial knowledge accumulation index | Characterizes the ability of the platform to accumulate, precipitate and reuse industrial knowledge. |
Industrial APP development index | Characterizes the platform’s industrial APP and industrial software innovation and development capabilities. |
Platform application promotion index | Characterizes platform in industrial enterprises and industry standardized promotion and solution implementation level. |
Platform value benefit index | Characterizes the level of economic benefit creation generated by the platform. |
Serial Number | Platform | Enterprises |
---|---|---|
1 | Haier COSMOPlat Industrial Internet Platform | Haier Group |
2 | BON Cloudiip Industrial Internet Platform | Business-intelligence of Oriental Nations Corporation Ltd. |
3 | Yonyou Industrial Internet Platform | Yonyou Network Co., Ltd. |
4 | Rootcloud Industrial Internet Platform | Rootcloud Technology Co., Ltd. |
5 | CASICloud INDICS Industrial Internet Platform | CASICloud Technology Development Co., Ltd. |
6 | Inspur Cloud In-Cloud Industrial Internet Platform | Inspur Cloud |
7 | Huawei FusionPlant Industrial Internet Platform | Huawei Technologies Co., Ltd. |
8 | Foxconn BEACON Industrial Internet Platform | Foxconn Technology Group |
9 | Alibaba supET Industrial Internet Platform | Alibaba Cloud |
10 | Hanyun Industrial Internet Platform | Xugong Information Technology Service Co., Ltd. |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Dou, K.; Li, J.; Zhou, Y. Research on Design and Monitoring of a Development Index of an Industrial Internet Platform Based on a Fixed-Base Index Method. Electronics 2022, 11, 274. https://doi.org/10.3390/electronics11020274
Dou K, Li J, Zhou Y. Research on Design and Monitoring of a Development Index of an Industrial Internet Platform Based on a Fixed-Base Index Method. Electronics. 2022; 11(2):274. https://doi.org/10.3390/electronics11020274
Chicago/Turabian StyleDou, Keqin, Jun Li, and Yong Zhou. 2022. "Research on Design and Monitoring of a Development Index of an Industrial Internet Platform Based on a Fixed-Base Index Method" Electronics 11, no. 2: 274. https://doi.org/10.3390/electronics11020274
APA StyleDou, K., Li, J., & Zhou, Y. (2022). Research on Design and Monitoring of a Development Index of an Industrial Internet Platform Based on a Fixed-Base Index Method. Electronics, 11(2), 274. https://doi.org/10.3390/electronics11020274