Artificial intelligence

Artificial Intelligence

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Artificial intelligence (AI) is rapidly gaining popularity in the world of systems engineering and design, and it has the potential to revolutionize our approach to model-based systems engineering (MBSE). By utilizing AI technologies, we can improve the efficiency and effectiveness of our systems engineering processes and ultimately create better and more sustainable systems.

ENECA is taking proactive steps to establish information exchange between builders and designers and deploy AI in project management.

Given the pace of technological development, it is safe to say that AI systems will become everyday in the very near future - in both homes and businesses. Many companies will face the inevitable need to develop their AI strategies.

Workflow

Intelligent analysis of requirements

Artificial intelligence technologies such as natural language processing (NLP) and machine learning (ML) can be used to automatically extract requirements from textual sources such as documentation, user reviews and social media. This can significantly reduce the time and effort required to manually identify and analyze requirements, and improve the accuracy and completeness of the collected requirements.

Automatic model creation

Artificial intelligence techniques such as generative-adversarial networks (GANs) and reinforcement learning (RL) can be used to automatically create system models based on high-level specifications. This can reduce the time and effort required to manually create models, and increase the level of abstraction and versatility of the models created.

Validation of the intelligent model

Artificial intelligence technologies, such as rule-based expert systems and machine learning algorithms, can be used to automatically validate models against requirements and identify potential problems or anomalies. This can reduce the time and effort required to manually perform validation tasks and improve the accuracy and reliability of the resulting validation results.

Autonomous decision-making

Artificial intelligence techniques such as deep reinforcement learning (DRL) can be used to train autonomous agents to make decisions in complex and uncertain environments. This can be particularly useful in safety-critical systems where timely and accurate decision-making is necessary to prevent hazards and accidents.

AI perspectives in design

AI can be used to improve human decision-making and increase the overall efficiency of the MBSE process. For example, machine learning algorithms can be used to analyse large amounts of data providing information that can be used to optimise design process.AI can also help automate certain aspects of the MBSE process, such as requirements management and validation. For example, Natural Language Processing (NLP) techniques can be used to extract requirements from text and then automatically map them into models.

AI capabilities in design

Another area where AI can be applied in MBSE is in simulation modelling. Machine learning algorithms can be used to automatically create and optimise system models based on input data such as performance metrics, environmental conditions and user feedback. This can help reduce the time and resources required to develop and test system models, while improving the accuracy and reliability of the results.

Tools and services

Python: The main programming language for developing AI solutions;
TensorFlow and Keras: Libraries for creating and training neural networks;
PyTorch: A framework for machine learning, especially effective in computer vision and natural language processing;
Scikit-learn: A library for classical machine learning and data analysis;
Pandas: A tool for processing and analysing structured data;
NumPy: A library for working with multidimensional arrays and mathematical functions;
AWS (Amazon Web Services): Cloud platform for deploying and scaling AI solutions;
Microsoft Azure: Cloud services for application development, testing and management;
Autodesk Revit: Building Information Modelling (BIM) software;
Dynamo: Visual programming environment for Revit that extends BIM capabilities.

Areas
and sectors

The competence of our services allows us to work in a variety of sectors

Industrial facilities

Chemical and petrochemical industry, medical industry, mechanical engineering, metal and woodworking, light and food industry, data centers, logistics centers and warehouses

Infrastructural facilities

Networks (heat, water, electric, gas supply), Transformer substations and power lines, Wastewater treatment plants (Sewage facilities)

Commercial real estate

Business centres, hotel complexes, office premises, sports complexes, retail and entertainment centres, car parks, cinemas.

Residential real estate

Residential complexes, villas, townhouses

Power Engineering

Combined Heat and Power Plants (CHP) based on gas reciprocating engines (GPA) and gas turbine units (GTU), hot water and steam boiler houses, boiler houses with thermooil as a heat carrier

Renewable Energy

Wind power, solar power plants, biogas complexes, heat pumps, LFG energy sources, photovoltaic power plants

Portfolio

We work with local and global companies from various industries, which allows our employees to gain unique experience by creating design and engineering solutions, taking into account the characteristics and needs of our clients' business.

Portfolio

Residential complexes 50,000 - 100,000 sq.m.

Multi-storey residential buildings

Natural gas-fuelled hot-water boiler house

Boiler house heat supply networks

Networks (heat, water, electric, gas supply)

Infrastructure for a northern industrial park

Analytics

AI in the electrical contracting industry

Our team is pleased to have been selected by Steven K. Ayer, Ph.D. to join the conversation on AI in the electrical contracting industry.

they trust us

Client

Swisslux AG

Location

Under NDA

To make it easier for our customers to take the step into the future of construction, we found a competent and reliable partner in Eneca who understood our needs and was able to implement them quickly. As part of our order, Eneca took over the development of 56 parameterized lighting families in Revit with a high level of detail and information. All models were created in the three national languages and in two formats each using Revit script. This means that future adjustments can also be implemented easily and without any problems. The Eneca team works professionally, quickly and precisely, which underlines their competence in BIM.
Based on their experience, I can recommend Eneca.

Client

Implenia Schweiz AG

Location

Under NDA

We collaborated with Eneca to create a structural Revit model of a residential complex with a floor area of 41,571 m², consisting of six three-story residential buildings with an underground parking garage, based on 2D drawings.

We appreciate Eneca’s readiness to support us with BIM modeling on short notice, as well as their flexibility in providing the necessary resources to meet a strict deadline. All modeling was completed within two weeks, with a division into lots. Eneca’s specialists were always willing to take the time to discuss our concerns and accommodate additional requests.

Eneca’s strong expertise in Revit and professional experience in structural design enabled their team to quickly grasp Implenia’s high modeling requirements. The BIM model was developed in accordance with the 3D BKP Model guidelines and Implenia’s standards, ensuring compliance with parameter and element naming rules as per Baukostenplan Hochbau. Eneca’s detail-oriented and structured approach contributed to the creation of a high-quality BKP model aimed at automating the calculation of construction volumes and costs.

I am pleased with the quality of services provided by ENECA and can confidently recommend them to others in need of similar BIM modeling services.

Client

ASK Romein Staalbouw BV

Location

Under NDA

We have been working closely with Eneca since June 2020. Eneca has proved itself as a trustworthy and responsible partner in steel structural design. We have accomplished more than 10 project areas together and discussed for some other future opportunities. Their engineering team is located abroad, however, the remote work is well-organized.

The design process always requires flexibility and capability to think differently, and we were pleased to see Eneca’s readiness to support us and solve all the project issues together. When there was a need to do some quick revisions at a very late stage, Eneca's specialists performed them in a high qualitative and timely manner. The technical competence and deep Tekla knowledge of Eneca’s team as well as their high-performance efficiency and always keen in continuous improvement, provided us an important support in our engineering process.

30.07.2021