О компании

1. Mission

• To promote fruitful and effective interaction of Human Intelligence (HI) and Machine Intelligence (MI) (HI+MI) on the safety, sustainability and efficiency of Infrastructure Engineering Systems (IES) of Enterprises, Buildings, Cities to make intelligent decisions

2. Areas of our activity:

— Intelligent Automated Control Systems (IACS) for Smart Infrastructure

• of City (District Heating)
• of Building (HVAC)
• of Enterprise (Heating, Electricity, Water)

3. Our Services:

• Consulting
• Research, incl. pre-project
• Intelligent Systems Development
• Development of intelligent algorithms (AI/ML)
• Programming

4. Tasks that we solve for our consumers:

Increase the effectiveness of technical specialists in ensuring the safety, sustainability (quality, reliability), efficiency (energy, economic, ecology) of engineering systems of the infrastructure of Enterprises, Buildings and Cities using Intelligent Automated Control Systems based on digital technologies and AI methods

5. Now

Currently  , Ensycon with Partners is developing the Concept of a model of professional intellectual activity of a Technical Specialist and an Intelligent Automated Control System  (IACS) using applied AI – Intelligent Infrastructure Concept (IIC)

6. Our Experience & Some Projects

— Examples of Ensycon projects:

— studies:

• Improving operational management processes of technical facilities and engineering infrastructure systems of municipalities, businesses and buildings using digital technologies and AI to improve safety, reliability, quality and efficiency.
• 4 Industrial revolution and main directions of the digital transformation of systems management utilities municipality within the concept of Smart City based on international concepts, methods and technologies.
• The concept of the digital transformation of systems management utilities municipality using approaches to build Smart City for example, District Heating.
• The basic directions of development of analytical capacities and abilities of heat-supply enterprise management system based on digital technologies and AI methods
• Development of the concept of the introduction of methods and technologies of AI in automated system of operation-dispatch (SCADA) management heat-supply company.

SCADA and MES elements (visualization, reports, graphs etc):

• Eco Center(Czech Republic) based on renewable sources (Sun, Pellets, Firewood) – (PLC, SCADA, MES)  — HVAC of the — about 500 points of control and analysis.

• SCADA Dispatching (Integration) of District Heating

7. Problem of ACS – Big Data Problem (Time of data analysis and decision — making)

Due to the growth of data and information circulating in the ACS, Technical Specialists, due to «human characteristics», do not have time to quickly analyze them and make informed decisions on their basis.

8. Solution of Big Data Problem

Implementation of AI applications «Intelligent Technical Assistant» to ACS
The introduction of AI Applications of the ACS «Intelligent Assistant» («Digital Twin» and «Smart Advisor») will allow, REGARDLESS OF THE «HUMAN CHARACTERISTICS» and THE TRAINING OF A PARTICULAR TECHNICAL SPECIALIST OF THE Infrastructure:

• Timely analyze 100% of the DATA and INFORMATION circulating in the information space of the Enterprise (Building, City)
• To develop solutions adequate to situations to ensure the necessary level of Safety, Sustainability and Efficiency of the Enterprise’s Infrastructure on the basis of a common knowledge base, experience and machine learning algorithms that simulate the professional thinking of a Technical Specialist, including in the context of predictive and prescriptive analysis methods,
• To increase the effectiveness of the activities of the Technical Specialist of Infrastructure, which will help reduce the cost of production and the rational use of resources, increase ENERGY EFFICIENCY

9. “Intelligent Technical Assistant” (ITA). What is ITA?

— ITA — Short Info

The Complex of AI Application Programs «Intelligent Assistant of the Technical Specialist of the Infrastructure» is a complex of software applications used to support the Technical Specialists of the Infrastructure for operational analysis and decision-making in the context of his professional intellectual activity in accordance with his job duties, responsibilities and job descriptions.

Scientific and technical direction –

• information and conceptual modeling of control objects using digital technologies and AI methods — digital twins
• modeling of professional intellectual activity of the Technical Specialist of the Infrastructure (cognitive processes, regulatory processes, communicative processes) — cognitive (smart) advisers

— ITA Concept — in the figure:

— ITA Development (now results) (from 2018 to present time):

1. Methodology for developing an Intelligent Technical Assistant (ITA)
2. ITA of Infrastructure Engineer:
   • Condition — Research, Prototyping (Digital Twin + Smart Advisor)
3. ITA of the Heat Supply System Manager of the University Campus
   • Condition- Research, Prototyping (Digital Twin + Smart Advisor)

10. Problems of developing ITA of Infrastructure

• Lengthy and costly PROCESS of developing AI Applications
• Difficulties in obtaining «clean data» in the subject area of Infrastructure
• Few trained specialists in the development and implementation of AI in Infrastructure
• There are not enough specialists who have knowledge, both in the field of AI and in the subject area of Infrastructure
• Trust and explainability of decisions made by AI should be «transparent» to the consumer
• The problem of responsibility for the results of the analysis and the solutions offered by Applied AI

11. Solving Problems of developing ITA of Infrastructure

— Using the Library of Software Modules (LSM) (CAD prototype)

LSM is considered as a prototype of CAD Applications AI ACS of Infrastructure, as 

• Low-Code tool  for the development of AI Application Program Complexes of ACS of Infrastructure  Enterprises, Buildings, Cities
• For Specialists of the SUBJECT AREA of Infrastructure without in-depth knowledge of programming, Data Science, AI/ML , etc.
• like SCADA instruments InTouch, WinCC

— McKinsey Talk

 “The biggest shift affecting AI’s broad adoption is tied to more mature tooling and the emergence of a canonical tech stack that is drastically simplifying how AI solutions are engineered and integrated with other digital applications.

            AI is quickly becoming more consumable, and solutions that use AI are accessible even to organizations with few to no AI engineers of their own.”

—Jacomo Corbo, partner,  McKinsey Technology Trends Outlook 2022; Research overview; August 2022

12. McKinsey Technology Trends Outlook 2022 (for our project)

Research overview. TOP 14. August 2022.

• Applied AI – Intelligent Technical Assistant (ITA);
• Industrializing machine learning (CAD Intel-AS)
• Trust architectures and digital identity (CAD Intel-AS) 
• Next-generation software development (low code Tools) (CAD Intel-AS)

13. Conclusion

• Digitalization of Infrastructure Management Systems significantly increases the amount of data and information in them
• Employees can not analyses many data & information in real time and make decisions from them
• Applied AI Programs Can Help Employees Process Data and Information in Infrastructure Management Systems
• The development of Application AI Complexes «Intelligent Assistant» requires significant expenditures of both financial and human resources
• Low/code Design  programs can significantly reduce costs (financial, human, intellectual, time) for the development and implementation of Application AI Complexes «Intelligent Assistant infrastructure engineer”

Important aspects:

• preparedness and interest of Leaders (TOP, CEO) and Employees of the organization in which Applied AI is being implemented
• understanding what data and information are needed for the functioning of Applied AI
• the competence of employees developing Applied AI in the field of digital technologies and AI, as well as an understanding of the management processes and technical operation of the Infrastructure, as well as knowledge and understanding of the professional intellectual activity of the Infrastructure Engineer (Operator).

14. The Concept of Intelligent Automated Control System for HEAT-ENERGY Enterprise

DATA -> VIZUALIZATION –> INFORMATION = ACS + HUMAN (ANALISYS – UNDERSTANDING – DECISIONS) = ACS + HUMAN

DATA -> VIZUALIZATION –> INFORMATION = ACS + MACHINE (ANALISYS – UNDERSTANDING – DECISIONS) = Intelligent ACS + HUMAN (ANALISYS – UNDERSTANDING – DECISIONS)

Automated Control and Management System

«ENSYCON»

15. Contacts

• Ensycon (Czech Republic) (02/2023)
  • E-mail: info@ensycon.com;   www.ensycon.com