- CIM ТЕКУЩАЯ СИТУАЦИЯ — НCIM CURRENT SITUATION — DEVELOPMENTS, PRACTICES, POTENTIAL
- CIM AS AN APPROACH TO A COMMON INDUSTRIAL INFORMATION MODEL WITH TASKS OF CROSS-INDUSTRY INTERACTION OF HUMAN-MACHINE SYSTEMS
- ECONOMICS AS A SUPERSYSTEM — SETTING REQUIREMENTS — ENERGY TRANSITION, from alarmists climatologists to power engineers. ESG — whose model is more correct?
- INDUSTRY TASK MANAGER — RESULTS ACCEPTOR — BENEFITS/RESPONSIBILITY
- TRANSFORMATION, SCALING, FACTORS, TASKS, RESULTS/EFFECTS
- PROGRAMS: EDUCATIONAL, LEARNING, ENLIGHTENING
1. Model of CIM scaling factors
• On an industry scale, Leveraging the Volume of Reuse WILL MULTIPLY the effects of CIM.
• It WILL REQUIRE A LARGE RESOURCE of semantic technologies (SemTech) competencies. 1000 + employers/Industry
• The transformation of the IT Architecture is necessary to achieve an economic effect, and requires using SemTech stack tools
2. Scaling CIM Implementation Tasks
• Generation of further professional education programs (CIM-Knowledge Engineering)
• Selection of educational platform SPECIALIZING in CIM, SemTech, Knowledge Engineering
• Individual Employee Routes for further professional education EMBEDDED INTO ACTIVITIES
Preparing COMMANDS for Parallel CIM Scaling
• Organization of the industry community based on THE PRINCIPLES OF CENTRIC DIVISION: Knowledge, Competencies, Resources
• Coordination of the Community rules model: use, disposal and ownership of community IT resources
3. Results and Effects of CIM Scalingя
| Results | Effects | Specification |
|---|---|---|
| Power engineers with the competencies of CIM,Semtech, Knowledge Engineering | One language, for multidisciplinary business communications with compliance control of industry logic. Eliminating the conceptual gap between Business and IT. Costs decreased by 30-50 % |  Подробней |
| Industry professional community | Increasing the efficiency of industry/cross-industry pre-project relations by 50-80% due to their centralization in the context of: • data models, standards, machine-readable documentation, training and prototyping of semtech applications |  Подробней |
| Data-centric CIM industry data model | • Data-centric applications • Reduction of IT budgets for integration 40-60% |  Подробней |
| Replication of the CIM data model on data models of related industries | • Data-centric cross-industry applications • MARKET Scale effects • • Cognitive maps and advantages of using meta-design patterns in the development of models of transdisciplinary industry interactions • State standard R 59798-2021 BFO |  Подробней |
Digital Transformation is a transition from application-centric information systems generating unrelated storages of the «silo of data» to models of data-centric semantics shared by people, services and applications.