Professional Industry Community of CIM Engineers

  1. CIM ТЕКУЩАЯ СИТУАЦИЯ — НCIM CURRENT SITUATION — DEVELOPMENTS, PRACTICES, POTENTIAL
  2. CIM AS AN APPROACH TO A COMMON INDUSTRIAL INFORMATION MODEL WITH TASKS OF CROSS-INDUSTRY INTERACTION OF HUMAN-MACHINE SYSTEMS
  3. ECONOMICS AS A SUPERSYSTEM — SETTING REQUIREMENTS — ENERGY TRANSITION, from alarmists climatologists to power engineers. ESG — whose model is more correct?
  4. INDUSTRY TASK MANAGER — RESULTS ACCEPTOR — BENEFITS/RESPONSIBILITY
  5. TRANSFORMATION, SCALING, FACTORS, TASKS, RESULTS/EFFECTS
  6. 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

ResultsEffectsSpecification
Power engineers with the competencies of CIM,Semtech, Knowledge EngineeringOne 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 communityIncreasing 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.