The introduction of an AI-powered planning assistant for residential ventilation units makes it possible to carry out technical calculations and planning processes in residential construction much more efficiently, in a more structured way, and with greater traceability. The goal is to digitally support the entire planning workflow, from the initial floor plan recognition through the determination of the required air volume flows to the selection of suitable ventilation units.
A central component of the system is the automatic analysis of floor plans. These can be provided, for example, as a PDF, image file, scan, or photo. The AI recognizes rooms, room boundaries, wall runs, doors, windows, shafts, and other relevant structural elements. Existing dimensions are read out and used for further calculation. If dimensions are not fully specified in the floor plan, the system can use recognizable reference sizes to calculate missing dimensions or estimate them in a technically plausible way.
Reference sizes can include dimension chains, known door widths, window dimensions, component sizes, or other geometric reference points within the drawing or image. On this basis, the planning assistant determines room areas, room heights, room volumes, and relevant geometric relationships. It documents transparently which values were taken over directly, derived by calculation, or estimated.
In addition, the system evaluates the building’s structural properties. It recognizes exterior walls, interior walls, wall assemblies, adjacent areas, and possible air distribution or transfer air paths. Particularly important is the automatic identification of internal rooms and rooms without windows, as these place special demands on air distribution and the required air volume flow when planning residential ventilation systems. Rooms such as bathrooms, WCs, kitchens, utility rooms, storage rooms, or hallways can be classified accordingly and included in the calculation.
Based on the recognized building and room data, the planning assistant selects the appropriate calculation method for the ventilation design. Depending on the project, this can be based on applicable standards, technical guidelines, recognized calculation methods, or customer-specific requirements. This enables the system to take different requirements and planning logics into account and apply them to the respective use case.
In the next step, the required air volume flow for individual rooms, room groups, or the entire residential unit is calculated. Different ventilation levels can be taken into account, for example reduced ventilation, nominal ventilation, or intensive ventilation. Depending on the stored methodology, factors such as living area, room volume, room usage, moisture load, building airtightness, number and type of exhaust rooms, and other technical specifications are included in the calculation.
From the calculated air volume flows, the system derives suitable residential ventilation units. For this purpose, technical product data, performance ranges, sound data, installation conditions, air volume flow ranges, energy values, filter classes, accessories, and other relevant parameters can be considered. The planning assistant can check which units are suitable for the respective installation situation, how many are required, and how they can be sensibly positioned in the floor plan.
A particular advantage lies in the ability to systematically compare different planning variants. Different device combinations, positions, air volume flows, or planning assumptions can be compared and evaluated in terms of technical requirements, comfort, sound insulation, energy efficiency, and material requirements. This creates a solid basis for decision-making in planning, sales, project management, and technical coordination.
In addition to calculation, the planning assistant also supports structured documentation of the results. It can generate calculation reports, room lists, device recommendations, material lists, technical notes, and explanations of the selected design. Input values, assumptions, calculation paths, and results remain traceable and verifiable. This facilitates both internal quality assurance and communication with customers, specialist planners, trade partners, and other project participants.
By using such an AI-supported planning assistant, recurring manual work steps are reduced, sources of error in data transfer are minimized, and planning statuses can be evaluated more quickly. Unstructured or partially incomplete information from floor plans, images, sketches, or technical descriptions is converted into structured planning data. This results in reliable calculations, transparent outcomes, and a consistent basis for further technical and commercial processes.
This is only one example of technical planning that can be carried out with AI support. Language, text, images, drawings, and photos (and many other data sources) can be included to assist planning processes that have previously been carried out manually or partly with IT support by humans, or even to automate them completely with AI.
Several assistants and agents work hand in hand, so to speak, and are created by Vimmera as a so-called “tool”. Fully integrated into Vimmera Studio with interfaces to other systems, an AI planning tool is comparable to a human who previously carried out these tasks. The only difference is that the human now has more time for the actually important task behind planning: advising and supporting customers. The AI then takes over the “craft”.
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The introduction of an AI-powered planning assistant for residential ventilation units makes it possible to carry out technical calculations and planning processes in residential construction much more efficiently, in a more structured way, and with greater traceability. The goal is to digitally support the entire planning workflow, from the initial floor plan recognition through the […]
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