EP4168918A1 - Procédé et système de production de bâtiment - Google Patents

Procédé et système de production de bâtiment

Info

Publication number
EP4168918A1
EP4168918A1 EP21735276.4A EP21735276A EP4168918A1 EP 4168918 A1 EP4168918 A1 EP 4168918A1 EP 21735276 A EP21735276 A EP 21735276A EP 4168918 A1 EP4168918 A1 EP 4168918A1
Authority
EP
European Patent Office
Prior art keywords
building
parameters
subunit
apartment
square meter
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP21735276.4A
Other languages
German (de)
English (en)
Inventor
Nils Klatte
Robert Sprajcar
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Spb Systematisches Planen & Bauen GmbH
Original Assignee
Spb Systematisches Planen & Bauen GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Spb Systematisches Planen & Bauen GmbH filed Critical Spb Systematisches Planen & Bauen GmbH
Publication of EP4168918A1 publication Critical patent/EP4168918A1/fr
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/02—CAD in a network environment, e.g. collaborative CAD or distributed simulation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/06—Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/10—Numerical modelling

Definitions

  • the invention relates to a method for producing a building comprising at least one building subunit.
  • a building area is recorded and / or analyzed, with material-related and / or geometry-related building parameters and / or environmental parameters and / or parameters relating to a building subunit mix being obtained.
  • Text data with country-specific building specifications are then recorded, analyzed and / or processed, as a result of which a minimum square meter size and a maximum square meter size of the at least one building subunit is generated.
  • a building plan is generated, with the recorded, analyzed and / or processed parameters or variables being loaded into the memory of a client.
  • an input data record is generated which contains information about the material-related and / or geometry-related building parameters and / or environmental parameters and / or parameters relating to the building subunit mix as well as the minimum square meter size and / or maximum square meter size of the at least one building subunit.
  • the input data record is transmitted to a server device, the server device including the input data record executing a harmonic search algorithm and generating an output data record.
  • the output data set includes a building specification adapted to the building area and country-specific building specifications.
  • the output data record is then transmitted to the client and a building plan with at least one building subunit is created on the basis of the output data record. In a final process step, construction work on the building with the at least one building subunit is initiated, taking into account the building plan.
  • the invention relates to a system for producing a building comprising at least one building subunit and a computer program product for producing a building plan, which is preferably used for producing a building.
  • the object of the invention was therefore to eliminate the disadvantages of the prior art and to provide a time-efficient, cost-effective, robust and error-resistant as well as automated system and method for the production of a building comprising at least one building subunit, the method and the system having a large number of different, in particular, technical influencing variables with regard to the construction of the building are taken into account right from the start.
  • the invention relates to a method for producing a building comprising at least one building subunit, characterized in that the method comprises the following steps: a. Acquisition and / or analysis of a building area, material-related and / or geometry-related building parameters and / or environmental parameters and / or parameters relating to a building subunit mix being obtained; b. Acquisition, analysis and / or processing of text data with country-specific building specifications, whereby a minimum square meter size and a maximum square meter size of the at least one building subunit is generated; c. Generation of a building plan, where i.
  • the material-related and / or geometry-related building parameters and / or environmental parameters and / or parameters relating to the building subunit mix and the minimum square meter size and / or maximum square meter size of the at least one building subunit are loaded into a memory of a client; ii. an input data record is generated which contains information about material-related and / or geometry-related building parameters and / or environmental parameters and / or parameters relating to the building subunit mix as well as the minimum square meter size and / or maximum square meter size of the at least one building subunit; iii. the client transmits the input data set to a server device; iv.
  • the server device taking into account the input data set, executes a harmonic search algorithm and generates an output data set, the output data set comprising a building specification adapted to the building area and country-specific building specifications; v. the output data set is transmitted to the client and a building plan with at least one building subunit is created using the output data set; d. Initiation of construction work on the building with the at least one building subunit, taking into account the building plan.
  • the combination of the proposed method steps leads to a surprising synergy effect, which leads to the advantageous properties and the overall success of the invention associated therewith, the individual features interacting with one another.
  • An important advantage of the method according to the invention is that extremely few are required Process steps and system components, whereby an extremely robust and error-resistant infrastructure is generated for the construction of a building.
  • the proposed method leads to an enormous reduction in the time required for the construction of a building, since on the one hand comprehensive aspects (e.g. concerning the environment, legal framework conditions, concerning the technical feasibility and also concerning the individual design) simultaneously for the construction of a building from the start are included so that changes and repairs required during production or afterwards are minimized.
  • the method also enables, in particular, an accelerated and automated generation of a building plan, which takes into account a particularly large number of the named influencing variables. Because all influencing variables relevant to a building project are recorded, analyzed and then processed, an optimized building (with regard to production and use) is advantageously obtained.
  • a building area is recorded and / or analyzed, material-related and / or geometry-related building parameters and / or environmental parameters and / or parameters relating to a building subunit mix being obtained.
  • the acquisition and / or analysis of the building area advantageously leads to the fact that realistic and updated features of the building area are obtained, whereby the building to be constructed can be optimally adapted to these features or circumstances and in particular the boundary conditions for the manufacture of a building and / or the Planning the manufacture to be obtained.
  • a building area is preferably to be viewed as an area that is designed to be built on with a structure, such as a building. It is preferably a plot of land that a builder has acquired.
  • the building area is preferably recorded and / or analyzed with a recording device, the recording device particularly preferably comprising and / or being in data connection with a data processing unit which analyzes the recorded or recorded features.
  • the analysis can be done in different ways. For example, photos taken by a detection device can be analyzed using computer vision algorithms. The evaluation of the photos relates, for example, to existing open spaces (on the building area) that are particularly well suited for the construction of a building (without the building area having to be intensively worked on), so that geometry-related parameters of the building to be constructed can be derived and maintained or be determined.
  • optical waveguides introduced in a floor preferably glass fiber cables
  • the acquisition and analysis is not limited to these two examples, it being clear to a person skilled in the art how such analyzes can be carried out using appropriate methods and acquisition devices from the prior art in order to subsequently determine material-related and / or geometry-related building parameters and / or environmental parameters and / or to obtain parameters relating to a building subunit mix.
  • Material-related building parameters are preferably to be viewed as characteristics of a building in relation to a material to be built.
  • Such parameters can preferably be quality-related and / or quantity-related information about a material, such as the type of material (namely preferably wood, glass, steel, concrete, reinforced concrete or composite material, etc.) or the amount of material (number of pieces, weight, etc.).
  • Material-related parameters can, for example, depend on the soil properties, with light wooden structures being preferred, for example, in areas with a flexible soil.
  • the parameters obtained can be viewed as a preselection and determine the boundary conditions for all possible materials to be used (type and / or quantity), with an optimization of the building specification from the suitable pre-selection or the boundary conditions subsequent to the method according to the invention the building area should make an optimized selection.
  • geometry-related building parameters are to be understood as features that include properties in connection with the geometry of a building to be constructed.
  • these can include the maximum height, maximum width, maximum depth, external shape of a floor plan or the largest possible extension of a building to be constructed.
  • These parameters are preferably dependent on the size of the building area or also on the soil properties and material properties.
  • Parameters that relate to the environment can preferably be viewed as features of the immediate surroundings or also as features of the extended surroundings of the building area. For example, there may be a busy road in the immediate vicinity of the building area, which means that the building to be constructed requires particularly noise-resistant walls. On the other hand, there may be an increased probability of snowfall in an extended environment - i.e. in a region - since the built-up area is, for example, at an altitude of 1500m above sea level. In such a case, a flat roof should preferably be avoided, as this would fail under a possible load of snow.
  • An environment-related parameter can accordingly be defined, for example, by a GPS signal received via a GPS device (detection device) which indicates the exact location of the building area.
  • parameters relating to the mix of building subunits are preferably to be regarded as characteristics with regard to the apartment sizes and / or the number of rooms.
  • different apartment types may be desired, for example a classic 2-room apartment for barrier-free senior citizens' living via
  • the mix of apartments also depends on the building area. For example, a spacious roof terrace apartment on a north-facing and shadowy side of a building may not be required, as this would not be subject to frequent use by a resident due to the shadow.
  • the parameters relating to a mix of building subunits also preferably define the boundary conditions for an optimized building specification.
  • the parameters can define which of the abovementioned apartment types are to be excluded for the optimization of the building specification carried out later in the method according to the invention or for the building to be constructed.
  • the parameters relating to the building subunit mix can also be designed as a ratio of different apartment types (building subunits) that are to be included in a building to be produced. Depending on the building area, such a ratio can include, for example, 75% 2-room apartments to 25% 3-room apartments (without being limited to this). All proportions of apartment types are imaginable.
  • the built-up area is preferably analyzed using a data processing unit that can either be included in the detection device or is in data connection with it, in which case it can be placed at a separate location.
  • Various algorithms included on the data processing unit can evaluate the recorded data (for example “machine learning algorithms”) and finally determine or generate the parameters mentioned above (material-related and / or geometry-related building parameters and / or environmental parameters and / or parameters relating to a mix of building subunits).
  • machine learning algorithms for example “machine learning algorithms”
  • the recorded data is analyzed by a person who filters and calculates the above-mentioned parameters from the range of information and preferably provides them to a client.
  • text data with country-specific building specifications are recorded, analyzed and / or processed, whereby a minimum square meter size and a maximum square meter size of the at least one building subunit are generated.
  • a person skilled in the art can see how such analyzes can be carried out using appropriate methods and detection devices from the prior art in order to subsequently derive a minimum square meter size and a maximum square meter size of the (at least) one building subunit.
  • the building subunit is preferably to be understood as an apartment.
  • the text data are preferably in paper form and / or in digital form. In the case of text data in paper form, these are first converted into digital text data using suitable acquisition devices.
  • digital text data must be available in such a way that they can be processed and analyzed by computer-implemented algorithms.
  • texts contained in image data may be converted into computer-readable and editable text data.
  • the acquisition device preferably comprises and / or is in data connection with a data processing unit which can carry out suitable methods, namely for example OCR conversion, for such a conversion.
  • OCR refers to automated text recognition or automatic character recognition within images.
  • automatic text recognition was based on optical character recognition (OCR).
  • OCR optical character recognition
  • this technique is preferably replaced by neural networks that process entire lines instead of individual characters.
  • the preferred square meter sizes are preferably derived directly from the state-specific ordinance for subsidized living space.
  • a building owner receives funding from the respective state or the municipality for the implementation.
  • the federal organization in Germany or Europe does not require a homogeneous regulation for the promotion of living space.
  • the ordinances and laws which are available in text form, are preferably first recorded, analyzed and / or processed by suitable measures, in particular via a recording device with a data processing unit, so that all relevant data can be filtered out of this text data.
  • the simplest method for filtering out the relevant data can preferably be seen in the texts according to Search keywords.
  • neural networks can also be used to carry out semantic analyzes of the texts and to obtain the relevant parameters (minimum square meter size and maximum square meter size of the at least one building subunit).
  • a building owner to manually introduce some or all of the above parameters via suitable interfaces of the acquisition device and / or the client in order to also include the building owner's individual wishes in the construction of the building.
  • all of the above-named parameters can preferably also be viewed as boundary conditions for the construction of a building, on the basis of which planning and then the actual construction are preferably carried out
  • all of the parameters mentioned are continuously updated or obtained, in particular by the recording device (or data processing unit) recording and analyzing the building area continuously or at short time intervals - preferably also during the manufacturing process of the building.
  • a building plan for the production of a building is preferably generated in one method step, this preferably being a computer-implemented method and / or, inter alia, a computer program product that is stored in a computer-usable medium.
  • One innovation of the proposed computer-implemented method is, among other things, that the generation of the building plan from different components involved in the method is as decentralized as possible. In this way, different planning aspects are divided among different entities (client-server model).
  • the proposed method enables a particularly efficient generation of a building plan, with extremely low computational resources being required and nonetheless including all of the named boundary conditions (parameters).
  • a client is preferably set up to load all the parameters described above into a memory, the client preferably being in a data connection with the acquisition device and receiving the data directly from it or having an interface that enables it to manually enter the aforementioned parameters for a person.
  • the persons can be, for example, a builder or persons involved in a construction, such as an architect, site manager, craftsman, etc. So that the expertise of such people can also be manually included in the planning of a building.
  • An information content about the parameters described above, which is included in an input data set, is preferably to be understood as information and / or a message content about the parameters, the information and / or the content of a message preferably consisting of characters and codes - in the form of a File - is composed.
  • the information content is preferably independent of the form of existence (characters and codes), but rather, within the meaning of the invention, preferably only to be viewed as a meaning that can be represented, saved and transmitted in various forms.
  • the client and the server device preferably comprise means for extracting and / or reading out information content from a data record or a file.
  • the information content of the parameters can include the parameters as such - for example as a numerical value - or further information which infer the parameters.
  • the client is set up to generate an input data record, the data record being saved in a file format selected from the group comprising PDF, JSON, XML, CSV.
  • PDF files are characterized by their very universal usability on different data processing systems, while one of the great advantages of JSON files is the simplicity of implementation and use. Due to the simple structure, JSON files do not require many resources when used. In this way, extensive data can be evaluated in a reasonable time.
  • the XML format can advantageously be linked to other systems without great expense, so that there is particularly good compatibility. XML is also suitable for long-term file storage and XML can also be easily converted into other file formats.
  • the CSV file format is advantageously versatile.
  • CSV format The great advantage of the CSV format is still that it can be easily transferred, such as importing it into different databases or programs. Content from CSV files can be read in multiple times into existing databases. It is particularly advantageous if different data sources (for example data from different recording devices) are to be combined into a single database.
  • the file formats to be used are not insignificant for the proposed method and system, because they have an influence on the calculation speed, the memory and the transmission speed.
  • the interaction of the file formats with the client, the server device and / or in particular the harmonic search algorithm contribute, among other things, to the technical character of the invention. It has also been shown that in particular the input data set with an information content about the material-related and / or geometry-related building parameters and / or environmental parameters and / or the building subunit mix parameters as well as the minimum square meter size and / or maximum square meter size of the at least one building subunit are particularly good in the aforementioned File formats can be saved without having to accept any relevant loss of information.
  • a client is a data processing unit that preferably has access (or means for such access) to the Internet.
  • the client is preferably positioned as a terminal device and remote from a server device.
  • the client is in data connection with the acquisition device and / or the data processing unit assigned to the acquisition device and can further process the data received from the data processing unit.
  • the infrastructure required for the method according to the invention preferably comprises a client and a server device and is preferably to be viewed as a so-called client-server model. In particular, this involves the distribution of tasks within a network.
  • client-server model The decentralized design of the entities involved in the generation of a building plan (client-server model) enables, in particular, the simultaneous generation of several building plans from a different location in a short period of time.
  • a first recording device can record, analyze and process a first building area in a district and, moreover, the ordinances applicable in this district, the ordinances being available in text data.
  • a further detection device can detect a building area in a further city but in the same district.
  • the respective Detection devices are each assigned to a client and are in data connection with it, the client then generating an input data record and transmitting this to the server device.
  • the server device can use the two input data sets (simultaneously) to generate an output data set, the output data set comprising a building specification that is optimally adapted to the respective building area and country-specific building specifications.
  • the server device can advantageously use the recorded data cooperatively so that the second recording device does not have to record, analyze and / or process text data with country-specific regulations, since the same country-specific regulations apply at the location of the additional development area as for the first development area. This enables resources and calculation times to be saved.
  • the server device Since the server device is at the center of the arrangement, all of the users' resources, such as a database, are advantageously managed centrally by it. Not only the administration is controlled centrally, but also the maintenance. If, for example, a software update has to be carried out, this is preferably only done on the server device so that the clients are not affected by it. Thanks to central data storage and the constant availability, it is advantageously not necessary to invest high costs in local data storage on the individual client memories. Since clients have to authenticate themselves when accessing the server, there is also advantageous easy access control and, at the same time, a high level of security. The addition and removal of clients from a system takes place without affecting the network or making major changes. In addition, the number of clients can in principle be expanded without restriction. The central data storage enables flexible application possibilities and location-independent use.
  • a harmonic search algorithm is carried out using the input data record, preferably on the server device.
  • the harmonic search is generally an evolutionary algorithm strategy. By adapting natural (but also artificial) processes (natural selection, inheritance of properties, mutation), the harmony search algorithm enables problem instances to be solved in an extremely short computing time and with a particularly low memory requirement.
  • the algorithm of the harmonic search contributes to the technical character of the invention, because in the context of the invention the algorithm serves a technical purpose.
  • the algorithm is to be regarded as an essential sub-process step for the production of a building, which leads in particular to the fact that the production takes place in a time-efficient and resource-saving manner, as will be made clear in the following explanations.
  • the harmonic search tries the variables of a solution preferably in multiple iterations
  • the harmonic search is characterized in particular as being robust against the introduction of further variables or parameters. More than just the best two solutions (as in a genetic algorithm strategy) can be combined with one another. As a meta-heuristic algorithm, the harmonic search is heavily dependent on the selected heuristic. Therefore, the harmonic search is also not a strategy with which problems of any kind can be solved and cannot be used for generating a building plan and / or manufacturing a building without appropriate inventive considerations, since the heuristic is strongly related to the application domain.
  • the simple design of the algorithm is also advantageous for implementation, since the parallelization of calculations is particularly advantageous and the maintainability and expandability of the algorithm are guaranteed.
  • the harmonious search can also be integrated into an application without a framework, this saves possible license costs and the familiarization time with a framework.
  • a heuristic is to be viewed as an analytical procedure in which statements about the system are made with limited knowledge about a system with the help of presumptive conclusions. The conclusions drawn from this often deviate from the optimal solution. The quality of the heuristic can be determined by comparing it with an optimal solution.
  • Well-known heuristics are, for example, trial and error, statistical evaluation of random samples and the elimination procedure.
  • a heuristic is a mathematical function that processes the geometry-related and / or environment-related and / or material-related and / or a building subunit mix-related parameters and outputs an estimate of the quality of the configuration of the parameters in terms of the current solution.
  • a solution can preferably also be understood as a building solution, the building solution preferably being viewed as a specification of a building.
  • a solution can be viewed as a certain aspect (mix of building subunits, building geometry and / or building environment) of a building specification or as a proposal for a building specification, with this - as described - being evaluated by a heuristic.
  • the specification preferably has essential parameters of a building (geometry-related and / or environment-related and / or material-related and / or a building subunit mix-related parameters, size of the building subunit) that are essential to be able to produce a building plan and, as a result, a building comprising a building subunit.
  • an output data record is generated on the basis of the harmonic search, the output data record comprising a building specification adapted to the building area and country-specific building specifications.
  • This adapted building specification can be viewed as an optimization which explores a compromise of all parameters and entities involved and thus enables a building that is optimized in itself to be produced.
  • the building area and building specifications adapted to country-specific building specifications are preferably defined as the solution that is best rated by the heuristic.
  • the method is characterized in that the harmonic search algorithm represents an optimization and comprises the following steps: a. Initialization of material-related and / or geometry-related building parameters and / or environmental parameters and / or the Parameters relating to the building subunit mix and the minimum square meter size and / or maximum square meter size of the at least one building subunit; b. Structure of a harmony memory; c. Improvising new solutions; d. Assess and annotate the solution and update the harmony memory; e. Repeating c. and d. until a stopping criterion is reached.
  • the harmonic search algorithm represents an optimization and comprises the following steps: a. Initialization of material-related and / or geometry-related building parameters and / or environmental parameters and / or the Parameters relating to the building subunit mix and the minimum square meter size and / or maximum square meter size of the at least one building subunit; b. Structure of a harmony memory; c. Improvising new solutions; d. Assess and annotate the solution and update
  • the harmonic search is a so-called evolutionary algorithm and an advantageous method to solve difficult planning problems.
  • a systematic approach would be to try out all the options, but this is disadvantageously inefficient.
  • it is efficient and advantageous to guess any valid solution and to evaluate the recommended solution, which is what evolutionary algorithms make use of. This approach is a trade-off between systematics and efficiency.
  • the algorithm of the harmonic search makes a significant contribution to solving the above-mentioned problem, the algorithm also contributing in particular to the technical character of the invention.
  • the algorithm as such causes, for example, a fast and improved optimization of the building planning (with regard to the computing time of the processor and the quality of the solution generated). Because the solutions are evaluated and annotated, solutions that are found to be less good can be deleted under certain circumstances, since they are of no use in the further course of the harmonic search. This leads to an advantageous reduction in memory resources. Furthermore, due to its simple structure and the few procedural steps, the algorithm only requires small processor capacities of the data processing unit (here: server device), which on the one hand saves energy and on the other hand several buildings can be planned in parallel.
  • server device the data processing unit
  • a harmony memory is preferably set up.
  • the harmony memory comprises a large number of predefined and / or randomly selected harmonies (solutions).
  • the solutions are then checked and evaluated by the heuristic according to the invention and supplemented by new solutions. Each newly added solution is Also rated and annotated. Poorly rated solutions receive penalty points.
  • a solution is to be regarded as optimal if it is annotated with no or only a few penalty points.
  • the one building specification that is adapted to the building area and country-specific building specifications is defined as the optimal solution for the harmonic search algorithm.
  • the optimal solution is preferably determined by the stopping criterion, in which the best-rated solution (preferably with the fewest penalty points) is selected at the time of the stopping criterion.
  • the algorithm preferably checks whether a harmony (solution or building specification) has been created without penalty points.
  • the algorithm preferably checks whether the algorithm is converging (hold criterion). If this converges (e.g. after 1000 iterations), the algorithm breaks off. The algorithm checks in particular whether the penalty points remain the same for all newly added solutions.
  • a best-rated solution can also be viewed as optimal.
  • Optimal solutions are preferably sought in relation to a single aspect of the building to be produced.
  • the optimal solution is also to be seen as an optimization. In this way, an optimal solution for a building geometry can be obtained. In an optimization carried out in parallel, however, an optimal solution for a mix of building subunits can preferably be obtained.
  • the method is characterized in that several optimizations are carried out in parallel on the server device, the optimization preferably taking place in relation to a building subunit mix, to a building geometry and / or to a building environment. Because several optimizations can take place at the same time, a building plan is generated much faster.
  • the algorithm enables several components of the server device to execute part of the algorithm at the same time.
  • the optimizations on a building subunit mix, on a building geometry and / or on a building environment depending on the information values contained in the input data set about material-related and / or geometry-related building parameters and / or environmental parameters and / or the building subunit mix related parameters as well as the Minimum square meter size and / or maximum square meter size of the at least one building subunit. Accordingly, the optimizations are also dependent on the building area and the state-specific regulations.
  • An optimization with regard to the building geometry can, for example, represent an optimization with regard to the outline of the building, namely: height, depth, floor area, roof design, etc. (without being restricted to these).
  • This preferably means that the outline is adapted in relation to the building area and / or country-specific requirements and, for example, does not exceed a certain height (possibly prohibited by country-specific requirements), while still retaining sufficient space inside a building because the building area enables the creation of a particularly wide building.
  • optimization should preferably be viewed as a compromise which, among other things, preferably explores the maximum dimensions of the building (which depend on the building area and country-specific regulations).
  • Optimization with regard to the building environment is preferably to be viewed as an optimal design of the building in interaction with the environment, for example cellar extensions or integration into a rock (without being limited to this).
  • an elevation on the building area can be integrated into the building by accessing a room on the elevation via a staircase without the elevation having to be excavated.
  • it can be viewed as a compromise between processing effort, aesthetics and / or functional benefits.
  • deep heat boreholes can be integrated into a building or on the built-up area, which reduce the energy costs for heating the building (functional benefit).
  • An optimization with regard to the building subunit mix relates to the various building subunits, which can each be optimally arranged and also selected so that, for example, advantageous funding from the state can be obtained.
  • Optimization with regard to the mix of building subunits can be the best possible compromise between funding from the state and the division of flats.
  • the compromise can be presented in such a way that, for example, a large number of particularly heavily subsidized apartments (building subunits) are maintained, but all the technical boundary conditions of the statics are still complied with or the lighting conditions of individual apartments are also taken into account.
  • a building can also be optimally optimized for the materials to be used, the size of the building subunit or construction measures for production.
  • the method is characterized in that the server device is in data connection with a database server, an annotated solution being stored on the database server.
  • Database servers are preferably data processing units on which database systems are stored, the database server providing data management services that can be used by other data processing units (server device and / or client).
  • high-performance mainframes are preferably configured as database servers, which serve as a hub for the flow of information.
  • a particular advantage is that the data can be backed up on the database server in a special way, with the solutions already annotated not being lost in the event of a failure of the server device or the client.
  • the database server can furthermore comprise a further backup server which backs up all files of the database server one more time, so that even a failure of the database server has no negative consequences.
  • the requirements of the harmonious search prefer a persistent storage of generated building solutions.
  • the collected data can be used in the future to calculate expected values or variance of stochastic random variables. After all, every solution is annotated by a heuristic that makes it possible to evaluate a solution as good or bad.
  • the method is characterized in that the server device comprises a plurality of servers, the servers being in data connection with one another and performing calculations cooperatively.
  • a server is to be viewed as a data processing unit. Because several servers are connected to one another and cooperate, the server devices can each have different specifications which are optimized for the calculations to be carried out. For example, particularly computationally intensive steps can be calculated on a server with a powerful processor, whereas less computationally intensive steps are carried out on a server with a weaker processor, which consumes less energy.
  • the method is characterized in that the client is designed as an entity, the entity being an internet-enabled terminal and / or a computer program product and / or a web application installed on a terminal.
  • the client is designed in particular as a terminal, selected from the group comprising: smartphone, tablet PC, desktop PC, notebook.
  • the interaction of a user e.g. building owner, architect, site manager, etc.
  • client-server model can take place via various endpoints (clients) - among other things, a website can also be one of these endpoints.
  • Web applications only require a web browser on the user's computer, which is usually already available. Web applications have the advantage that they can be executed on all web browsers, with no further installation of software being necessary.
  • the method is characterized in that the output data record for a CAD system includes interpretable data and the building plan is based on a CAD model.
  • a 3D building model (CAD model) is preferably created on the basis of modules, from which the building plan is then derived.
  • the various CAD software tools known from the prior art vary greatly from one another, which is due to the heterogeneity of manufacturers. Therefore, the optimized or adapted building specifications are preferably made available in an exchange format of the group comprising PDF, JSON, XML, CSV (output data record) and the translation of the solution into the native data structure is taken over by plugins in the authoring software.
  • the client preferably has means for processing an output data record with data that can be interpreted by a CAD system in order to create a building plan from an output data record.
  • This can include a CAD program, for example.
  • the invention relates to a system for producing a building comprising at least one building subunit, characterized in that the system comprises a client, a server device, a detection device and a workstation, the client being set up to: a. load material-related and / or geometry-related building parameters and / or environmental parameters and / or parameters relating to a building subunit mix and the minimum square meter size and / or maximum square meter size of the at least one building subunit into a memory; b.
  • an input data set which includes information about material-related and / or geometry-related building parameters and / or environmental parameters and / or parameters relating to the building subunit mix as well as the minimum square meter size and / or maximum square meter size of the at least one building subunit; c. transmit the input data set to the server device; d. generate a building plan based on an output data set; the server device is set up to a. using the input data set to execute an algorithm of the harmonic search and to generate an output data set, the output data set comprising a building specification adapted to the building area and country-specific building specifications; b.
  • the workstation is set up to carry out construction work on the building with the at least one building subunit, taking into account the building plan;
  • the detection device is set up to: a. to record and analyze a building area, the material-related and / or geometry-related building parameters and / or environmental parameters and / or parameters relating to the building subunit mix being obtained; and / or b. Capture, analyze and / or process text data with country-specific building specifications, whereby the minimum square meter size and maximum square meter size of the at least one building subunit is generated.
  • the detection device comprises at least one sensor or a sensor system.
  • a sensor can be physical (e.g. amount of heat, temperature, humidity, pressure, sound field sizes, brightness, acceleration) or chemical (e.g. pH value, ion strength, electrochemical potential, analysis methods such as e.g. spectral or microbiological) Determine properties and / or the material nature of its environment qualitatively or quantitatively as a measured variable. These variables are recorded using physical or chemical effects and converted into an electrical signal that can be processed further.
  • the detection device comprises a sensor selected from the group comprising: temperature sensor, displacement sensor, pressure sensor (force sensor), acceleration sensor, image sensor, contact sensor, humidity sensor, GPS sensor, NFC sensor, RFID sensor, air quality sensor.
  • the sensors of the recording device are set up to record and / or analyze and / or process a building area and / or text data with country-specific building specifications, preferably automatically, whereby parameters are preferably obtained selected from the group: material-related and / or geometry-related building parameters and / or environmental parameters, parameters relating to a building subunit mix, the minimum square meter size and maximum square meter size of the at least one building subunit.
  • parameters are preferably obtained selected from the group: material-related and / or geometry-related building parameters and / or environmental parameters, parameters relating to a building subunit mix, the minimum square meter size and maximum square meter size of the at least one building subunit.
  • the detection device also has a data processing unit.
  • the detection device can be designed as a physical unit with the data processing unit, which advantageously minimizes the possibility of external intervention and manipulation of the system.
  • a detection device can also be understood to mean a detection device system which has a large number of sensors for detecting the above-mentioned parameters.
  • the data processing unit of the acquisition device comprises a memory and a processor.
  • the acquisition device can subject the acquired information to preprocessing. This can include, for example, a first analysis or a filtering of the recorded data, as a result of which the client and / or the server device advantageously require less power for data processing and memory.
  • the workstation is set up to
  • Such a workstation can preferably be connected to a data processing unit (preferably wirelessly) which interprets the data of the building plan and can automatically forward control commands to the workstation.
  • the workstation can preferably execute these commands autonomously using means provided for this purpose.
  • the data processing unit can provide certain command sequences and / or threshold values to a display device comprised by the workstation. For example, a specialist who operates the workstation can implement and execute the specifications of a building plan by following the instructions on the display device.
  • the data of the building plan and the control commands for the workstation must therefore be determined as a result of the output data record.
  • the output data set is therefore still of technical relevance for the system and / or the method for producing a building.
  • the input data set and the output data set both serve a technical purpose, so that the harmonic search algorithm has a causal technical effect (namely, among other things fast, efficient construction of a building taking into account all boundary conditions) is linked.
  • the system is characterized in that the work station is selected from the group comprising: earthworks equipment, standing excavators, dredgers, flat excavators, suction excavators, drilling and diaphragm wall devices, transport devices, machines for transporting and processing concrete and mortar, lifting equipment, ramming equipment - and pulling devices, devices in traffic route construction, sewer and pipeline construction devices, compacting devices, tunneling devices, compressor devices, cleaning devices.
  • the work station according to the invention is not restricted to the work stations included in the group mentioned.
  • the construction equipment described can on the one hand be controlled autonomously by a control device or data processing unit or else be operated by a person, with partially automated solutions also being possible.
  • the system is characterized in that the server device is set up to execute the harmonic search algorithm, which represents an optimization and comprises the following steps: a. Initialization of material-related and / or geometry-related
  • system is characterized in that the server device is in data connection with a database server and is set up to
  • the optimization preferably taking place in relation to a building subunit mix, to a building geometry and / or to a building environment;
  • the server device comprises a plurality of servers which are in data connection with one another and which carry out calculations cooperatively.
  • the system is characterized in that the input data record and the output data record are transmitted as a data transmission process via IP-based communication, at least one data transmission process being carried out cryptographically secured by a security module.
  • IP-based communication is preferably carried out using Internet protocols (IPv4, IPv6), i.e. network communication protocols.
  • IPv4, IPv6 Internet protocols
  • network communication protocols i.e. network communication protocols.
  • the transmission of data using network communication protocols advantageously enables the transmission of large amounts of data (TCP, UDP), so that, under certain circumstances, this even enables the live transmission of video and detailed photo sequences.
  • the protocols are selected from the comprehensive group, https, http, SIP, SFTP, FTP, SMTP.
  • http Hypertext Transfer Protocol
  • https Hypertext Transfer Protocol Secure
  • the input data record and / or the output data record are transmitted as a so-called payload using “http‘7“ https ”.
  • http / https is that the entities are not burdened with maintaining a connection for a long time.
  • https can be implemented in the system according to the invention in a simple manner without great requirements and, in particular, is extremely user-friendly
  • the system is characterized in that the client is designed as an entity, the entity being an internet-enabled terminal and / or a computer program product and / or a web application installed on a terminal.
  • the system is characterized in that the output data record for a CAD system includes interpretable data and the building plan is based on a CAD model.
  • the invention relates to a computer program product for generating a building plan, which is stored in a computer-usable medium, characterized in that the computer program product is set up to execute an algorithm of the harmonic search with the inclusion of an input data set and to assign an output data set generate, where a. the input data set includes information about material-related and / or geometry-related building parameters and / or environmental parameters as well as the minimum square meter size and / or maximum square meter size of the at least one building subunit, and b. the output data record includes a building specification adapted to the building area and country-specific building specifications; using technical means of a computer to transmit the output data set to a client.
  • a great advantage of the computer program product for the generation of a building plan within the meaning of the invention is to be seen in particular in the fact that all essential relevant parameters (with regard to the environment, material, geometry, regulations, etc.) as well as the individual wishes of a builder or construction managers, structural engineers, architects etc. can also be involved. In the end, all entities involved in the construction of a building are included in the planning even before the actual construction and their competencies are literally merged with one another.
  • the computer program product executes or includes the harmonic search algorithm, the computer program product as such also has all of the advantages already mentioned above with the harmonic search algorithm.
  • the computer program product is preferably used to generate a building plan, the building plan in turn being essential for the production of a building.
  • the computer program product is preferably part of the system according to the invention and / or is also suitable for carrying out method steps according to the invention, the computer program product preferably being installed on the server device.
  • the technical parameters in the input data set preferably do not depend on decisions that a human user has to make. They are preferably generated automatically via the acquisition and analysis of a recording device. Correspondingly, there is a technical effect in the form of an improved time and resource efficient production and planning of a building.
  • the computer program product is characterized in that the harmonic search algorithm represents an optimization and comprises the following steps: a. Initialization of material-related and / or geometry-related building parameters and / or environmental parameters as well as the minimum square meter size and / or maximum square meter size of the at least one building subunit b. Structure of a harmony memory c. Improvising new solutions d. Assess and annotate the solution and update the harmony memory e. Repeat c and d until a stopping criterion is reached.
  • the harmonic search algorithm represents an optimization and comprises the following steps: a. Initialization of material-related and / or geometry-related building parameters and / or environmental parameters as well as the minimum square meter size and / or maximum square meter size of the at least one building subunit b. Structure of a harmony memory c. Improvising new solutions d. Assess and annotate the solution and update the harmony memory e. Repeat c and d until a stopping criterion is reached.
  • the computer program product is characterized in that the computer program product is set up to transmit annotated solutions to a database server using technical means of a computer and the computer program product is installed on a computer of a server device.
  • the invention relates to a computer- and / or network-based method for planning at least one building for at least one specified building type and / or specified dimensions of the building, comprising at least one building subunit, the method comprising the following steps: • Provision of modules for at least one type of building and at least one type of building subunit, the respective modules containing essential technical specifications, parameter ranges for dimensions and / or restrictions for the respective building type and the respective subunit;
  • Planning can preferably also be a draft.
  • a building is e.g. B. a residential building and / or an office building.
  • a building subunit is preferably at least one piece of furniture, one room, one apartment, one floor and / or one access.
  • a building subunit type is in particular a storey type, an apartment type, an access type, a room type and / or a furniture type.
  • the method advantageously uses at least one external unit and an internal sub-unit contained therein, the units being adapted to one another.
  • the outer unit can also be a superordinate sub-unit (e.g. inner sub-unit “room”, outer unit “apartment”) or a building.
  • inner sub-unit e.g. inner sub-unit “room”, outer unit “apartment”
  • a building e.g. a building that houses at least one external unit and an internal sub-unit contained therein, the units being adapted to one another.
  • the outer unit can also be a superordinate sub-unit (e.g. inner sub-unit “room”, outer unit “apartment”) or a building.
  • the basic idea is reminiscent of the well-known "Mamuschka” principle of outer and inner smaller dolls that are each adapted to one another in terms of size.
  • a computer and / or network-based method for the planning or design of at least one residential building for at least one specified building type and / or specified dimensions of the residential building is a method which, using at least one computer and / or a combination of several computers, z. B. in a network.
  • a building type preferably describes the basic design of the building, which includes in particular the basic dimensions, i.e. preferably the ratio between width,
  • the dimensions of the residential building preferably include the floor area and the height of the building.
  • the residential building comprises at least one apartment.
  • An apartment is preferred of a certain type of apartment.
  • An apartment type preferably comprises the number of rooms in an apartment.
  • One type of apartment is z.
  • B. a 1-room apartment, a 2-room apartment, a 3-room apartment, a 4-room apartment, a 5-room apartment, a 6-room apartment, a 7- One-room apartment, an 8-room apartment, a 9-room apartment, a 10-room apartment, an 11-room apartment, a 12-room apartment, a 13-room apartment, a 14-room apartment, a 15-room apartment, etc.
  • the bathroom (s) are preferred or the kitchen (s) are not counted for the number of rooms.
  • An apartment type can, for example, also include the basic shape of an apartment, e.g. rectangle, L-type (L-shaped).
  • the type of apartment can also provide additional information such as B. Accessibility etc. and components.
  • a floor preferably comprises at least one shooting and at least one apartment.
  • a floor is preferably one level in a building solution.
  • a development preferably includes access routes, entrance areas, components and rooms through which the users can reach the individual usage units, such as apartments or offices, in a horizontal or vertical direction.
  • Supply and disposal routes for deliveries, waste disposal, etc. are also preferably included.
  • Horizontal developments preferably include elements that enable all rooms to be reached on a continuous level.
  • Vertical access preferably includes elements that allow access to different storeys, floors or floors.
  • Horizontal and vertical developments are preferably closely linked.
  • Elements of the horizontal access are preferably selected from the group comprising corridor, hallway, gallery (preferably a room that is longer than wide and has numerous light openings on at least one of its two long sides), portico, enfilade (preferably a series of rooms to form a suite , with the door openings exactly opposite) and / or atrium (preferably a rectangular interior in the middle of the house, from which the surrounding rooms are accessible).
  • Elements of vertical access are preferably selected from the group comprising stairs, ramps, escalators, lifts and / or paternoster lifts.
  • the development type preferably includes basic information about the developments, such as. B. horizontal or vertical, corridor, stairs, ramp, elevator, accessibility, single, two or three-person vehicles, etc.
  • the method preferably comprises the provision of modules for at least one type of building, at least one floor type, at least one access type and at least one type of apartment, whereby the respective modules have essential technical specifications,
  • the modules are preferably created separately in advance for each object that is the subject of the procedure (e.g. residential building / building type, development / development type, apartment / apartment type) and preferably stored in a matrix. This is advantageously the matrix initialization process. Modules are preferably also called control elements.
  • Technical specifications are preferably selected from the group comprising the material properties of building materials, thermal insulation specifications (e.g. thermal insulation ordinance), energy saving specifications (e.g. energy saving ordinance), thermal resistance and / or thermal transmittance of building materials, static specifications, soundproofing specifications, specifications regarding moisture transport, Specifications regarding radiation, thermal conduction, thermal radiation, thermal insulation and / or thermal protection, building acoustic specifications, sound transmission and / or sound insulation from Building materials, fire protection specifications, exposure specifications, transparency of building materials,
  • thermal insulation specifications e.g. thermal insulation ordinance
  • energy saving specifications e.g. energy saving ordinance
  • thermal resistance and / or thermal transmittance of building materials static specifications
  • soundproofing specifications specifications regarding moisture transport
  • Specifications regarding radiation, thermal conduction, thermal radiation, thermal insulation and / or thermal protection building acoustic specifications, sound transmission and / or sound insulation from Building materials, fire protection specifications, exposure specifications, transparency of building materials,
  • Flammability and / or flammability of building materials strength specifications, in particular with regard to breaking strength in general, tensile strength, compressive strength, compression strength, flexural strength, flexural tensile strength, torsional strength, shear strength, strength of building materials, in particular breaking strength in general, tensile strength, compressive strength, compression strength, flexural strength, flexural tensile strength, torsional strength, Shear strength, elasticity specifications in particular with regard to elasticity modulus, compression modulus; and / or shear modulus; Elasticity of available building materials, in particular modulus of elasticity, modulus of compression; and / or shear module, specifications for load-bearing walls and / or non-load-bearing walls, specifications for wall thicknesses and / or specifications for room heights.
  • Parameter ranges for dimensions preferably include minimum and maximum dimensions of rooms, balconies, access, stair width, stair incline, tread width of the stairs, tread area of the stairs, minimum and maximum distances between: walls and windows, doors and windows, windows one below the other, doors one below the other, Doors and walls, doors and ceilings, windows and ceilings, windows and floors, as well as parameters that classify the quality of the room within a previously defined spectrum, for example with regard to furnishing.
  • Restrictions for the respective type preferably contain minimum dimensions, minimum distances between windows, doors, walls and / or ceilings, minimum size ratios of windows, doors, walls and / or ceilings, dimensions in different directions of rooms (e.g. the ratio of x to y dimensions of a room), minimum or maximum areas of rooms, apartments, development and / or residential buildings, minimum thicknesses of walls, requirements for exposure areas, geological requirements, etc.
  • a preferred function of the modules is to make the processing in the process as lean and efficient as possible, another is to ensure that crucial technical, e.g. B. Building physics variables in the planning process.
  • the modules include, in particular, technical information. All relevant information is preferably included, such as B. load-bearing walls, non-load-bearing walls, floor structures, doors, windows, rooms, surfaces, equipment. These can be linked to a later component which, however, does not yet contain any 3D geometry. In this way, a large part of the relevant information can advantageously be generated even before a 3D building model is created.
  • the modules preferably include parameterized lines that can be graphically displayed in a simple manner, for. B.
  • a schematic floor plan includes, for example, the basic shape of a floor plan (e.g. L-shaped) without precise dimensions.
  • a module floor plan is preferably a floor plan representation of a module (apartment or development).
  • B. a "flat module floor plan” a floor plan representation of a flat module, a "access module floor plan” a floor plan representation of a Access module, a “floor module floor plan” a floor plan representation of a floor and preferably the modules / sub-units containing it.
  • the modules preferably already contain room information.
  • Room information includes usage area (NUF), traffic area (VF) and technical functional area (TF), which preferably make the net room area (NRF) evaluable. These area parameters are preferably defined in accordance with DIN 277-1.
  • the NRF preferably includes the usable area, the technical area and the traffic area.
  • the VF preferably includes that part of the NRF that provides access to the rooms, traffic within the structure and also for exiting in an emergency. Movement areas within rooms are preferably not included.
  • the NUF preferably comprises the sum of the floor area with uses (that part of the NRF which is used for the purpose of the building).
  • the technical functional area preferably comprises that part of the NRF which is used for the technical systems for supply and disposal of the building.
  • the floor space required for this is NUF.
  • the modules preferably comprise a z-direction (in particular height) or preferably a plane in the z-direction. In this way, the volume of the room can preferably also be evaluated.
  • the room information preferably includes sizes that classify the quality of the rooms in terms of furnishing (e.g. compliance with spacing areas and movement areas) within a range defined in advance. The sum of the room qualities in the apartment, the access and in the entire building enables users preferentially when operating the solution to recognize the spatial / planning quality in the early stages.
  • the modules preferably also include restrictions.
  • Restrictions are preferably lines which, for. B. are set as a limit for certain areas or components and, for example. Serving as parameters in the process, z. B. for the solution process in the algorithm.
  • Restrictions can e.g. B. surfaces and / or contours of a room, an apartment, a development, a floor and / or a building, which are intended for certain functions, such as. B. Areas for lighting, for development, for fire walls etc. (e.g. areas for circulation, lighting or closed walls).
  • Restrictions are e.g. B. aligned with the reference planes, in particular a CAD component family.
  • Restrictions or restriction elements are advantageously based on the same basic principle as all modules and their dimensions can preferably be influenced by them.
  • the spatial areas occupied with restrictions are preferably defined as dependencies or restrictions in the calculation in the algorithm.
  • the method comprises the creation and storage of an apartment matrix for the at least one apartment type, taking into account the modules for the apartment type, the apartment matrix including all possible apartment floor plans and associated adapted modules for each floor plan.
  • the apartment matrix can, for example, create all possible apartment floor plans under these specifications.
  • the creation can be efficiently limited, for example, that the apartment floor plans are only created within a given, discrete grid dimension.
  • all possible apartment floor plans can be created within the minimum and maximum dimensions that fall within the preferably specified grid dimensions.
  • the modules are preferably adapted to the respective apartment floor plans. For example, parameter ranges for the minimum and maximum dimensions can be omitted, since now for the respective Floor plan, concrete dimensions have been selected within the parameter areas and are therefore no longer required.
  • Other modules are preferably only adapted to the specific implementation.
  • a 12.5 cm x 12.5 cm grid can initially be defined for the development of the floor plan sizes.
  • the apartment sizes can expand preferably on the X and Y axes (the horizontal plane). It is also possible to import floor plan types which are already known and / or which have been calculated in advance and preferably to adapt them to the preferably predetermined grid dimensions.
  • the parameters (characteristics) of the minimum and maximum dimensions are preferably determined. This is preferably done automatically by enlarging or reducing the floor plan along the grid dimension, e.g. B. in the CAD program.
  • the permissible tolerance range for the possible development of the room sizes can preferably also be based on a known apartment evaluation system. Other or new criteria can also be used as a basis for the apartment dimensions
  • the determined expansion parameters and thus all associated parameters such as room sizes and room qualities can preferably be mapped in lists within the CAD program.
  • the apartment types are preferably grouped into types and recorded with their expansion values (according to the X and Y axes).
  • all expressions are preferably mapped or stored, which z. B. not fall below or exceed the specified tolerance ranges (e.g. minimum or maximum total size), comply with the technical specifications, etc.
  • the results are then preferably transferred to a specification table.
  • the terms expression table, characteristic matrix and apartment matrix are preferably used synonymously in this document.
  • the sub-unit matrix is preferably a furniture matrix, a room matrix, an apartment matrix, an access matrix and / or a floor matrix.
  • threshold value parameters can preferably be determined or adapted. These are preferably dependent on the minimum or maximum parameters and determine z.
  • the calculation and storage of possible combinations of developments, apartments and / or residential buildings can also preferably be carried out taking into account the development matrix of the at least one predetermined development type and / or the building matrix of the at least one predetermined building type.
  • the creation and storage of the access matrix and / or the building matrix is preferably carried out in the same way as the creation and storage of the other subunit matrices, e.g. B. the apartment matrix.
  • the subsequent calculation and storage of the possible combination preferably includes a type of “matching process” of the respective adapted modules. In this way, the calculation and storage can be further simplified and made efficient.
  • All possible combinations are preferably recorded in the matrix and advantageously serve as the basis for the solution calculations in the algorithm (the calculation and storage of possible combinations, see below).
  • the initialized floor plans can preferably each be stored as text format in a JSON file (JavaScript Object Notation - JSON).
  • the JSON files are preferably assigned to the apartment categories and are collected according to named file folders.
  • the associated parameters to be evaluated can preferably be generated and also created.
  • a possible construction phase (or a residential building to be built there), which is to be filled with apartments, is preferably also initialized before a further calculation.
  • the definition of the construction phases, building sites and / or residential buildings can be done according to the specifications of the planner. If different possible divisions of a building site are given, then all building sites and / or residential buildings to be solved are preferably initialized and z.
  • a construction site preferably determines the (buildable) area of the property on which a building is to be placed.
  • a construction field can exist several times on the property.
  • the initialization of apartments and building sections, building sites and / or residential buildings is preferably carried out using modules. These advantageously have a very low data volume, which means that the computing time in the initialization process can preferably be kept short. This is particularly advantageous since the apartment, access, floor and / or building matrices can contain, for example, 10,000 variants or more, depending on the module category.
  • the initialization is preferably carried out only once and can then, in particular, at least partially (for example, by adapting the technical specifications and structural dimensions) for different building sites or residential buildings to be built. Only completely new apartment, access, floor and / or building types have to be completely re-initialized.
  • the matrices are preferably stored in a data memory. It can preferably be a cloud-based database.
  • the calculation and storage of possible combinations of buildings and building sub-units includes e.g. B. the calculation and storage of possible combinations of buildings and furniture, rooms, apartments, developments and / or floors.
  • This preferably means that the apartments, developments, storeys and / or buildings are used in the matrices and all possible combinations of residential buildings are combined with all possible apartments and developments contained therein.
  • the specifications of the modules of the building type, the specified dimensions of the planned residential building (s) and / or the modules of the development are taken into account. These preferably specify the possible combinations of apartments, developments and residential building (s). For example, there are dimensions and Modules given residential building only certain apartments of the apartment matrix as well as z. B. only certain developments of the development matrix due to compatible dimensions of the apartments to the residential building and due to compatible modules of the apartment matrix and the building type in question.
  • the modules of the building type can e.g. B. contain specifications and information about the number and type of 1-room apartments and 3-room apartments, so that only those apartment floor plans and modules that meet these requirements come into question. These specifications are in turn contained in the modules of the apartment matrix.
  • Structural dimensions are preferably adapted accordingly. These include, for example, final values regarding the material properties of building materials, wall thicknesses (wall thicknesses) and / or room heights for the respective planned residential building, etc.
  • modules that include technical specifications regarding fire protection and other related building materials and their flammability can be included in one determination of certain building materials at certain points in the apartment / residential building in order to meet the technical requirements with regard to fire protection.
  • matrices are also created in advance for residential buildings and developments, which are used in this process (see below). Otherwise, all possible versions of developments and buildings are preferably included in the calculation, depending on the specifications.
  • the preferred algorithm for the calculation is written in C #, for example.
  • the aim and function of the algorithm is preferably to calculate all mathematically possible combinations in a building (preferably taking into account the modules) that result from the underlying apartment types and the access types with their respective characteristics (preferably specified by the modules and / or floor plans).
  • the algorithm is z. B. limited by the restrictions stored in the modules.
  • the combination of apartments and developments with the respective characteristics lead to an exponential increase in the possible solutions. All possible solutions are preferably calculated, regardless of whether they are selected in any evaluation that is carried out later or are omitted. Depending on the desired mix of apartments, this can mean, for example, that all or only certain apartments (or apartment types) are taken into account in the calculation.
  • this file is preferably attached to the solution with the associated parameters.
  • the files are, for example, collected as JSON files in a file folder. They are preferably sorted according to construction phases with the solutions they contain and the files of their parameters to be evaluated. In order to visualize and evaluate the files, the result is preferably also stored as a CVS file (comma-separated values file).
  • the preferred design software is preferably a multiple design product line of technology from Autodesk for architects, building engineers, and structural engineers.
  • Revit z. B. is preferably not based on AutoCAD, but contains its own graphics core. While z. B. Autodesk, AutoCAD does not work component-oriented, Revit supports, for example, the BIM technology (Building Information Modeling). The principle of Revit is preferably to support both 2D and 3D modeling of a component-oriented building model.
  • CAD software Autodesk Revit with the addition of the Dynamo graphical programming interface and the additional application Pyrevit, ceapoint Desite, Microsoft Excel, PowerPoint, Word, Outlook, Microsoft Power Bl, Adobe Illustrator, Photoshop, InDesign, RIB iTWO, Microsoft Visual Studio, C # and / or Dynamo as a graphical programming interface.
  • the following file and transfer formats are preferred: rvt, .rte ,. rfa, .rft, .dyn, .ifc (Revit), .dwg, .dxf (AutoCad, Nemetscheck), .ai, .psd, .indd (Adobe), .json (exchange format), .docx, .xlsx,.
  • the preferred transfer format is:
  • the method can be used, for example, to create the apartment floor plans automatically, also on the basis of a housing evaluation system (e.g. HoWoGe), e.g. B. for 2-room, 3-room, 4-room and 5-room apartments.
  • a housing evaluation system e.g. HoWoGe
  • a ground floor, a roof (e.g. flat roof) and / or a foundation can preferably be created automatically.
  • Components for roof, wall, floor including component information can preferably be created automatically.
  • 3D building models can be created and plans output.
  • the component information stored in a building model can preferably also be used for mass determination, calculation or construction process planning.
  • the processing of the information stored in the building model takes place in a further process step.
  • the building model is transferred to the ' Desite MD ' software via an 'add-on' from the ' Revit ' CAD program.
  • ' Desite MD ' serves as an intermediate step before transferring the component information to the AVA interface and at the same time to ensure the quality of the model.
  • the geometry imported into ' Desite MD ' is automatically subjected to a quality / collision check using a form created there.
  • the process enables residential buildings to be created flexibly, efficiently and quickly according to customizable specifications, which meet the technical requirements in terms of soundproofing, thermal insulation, incidence of light, fire protection, stability, statics, energy consumption, etc.
  • all possible implementations with regard to the modules can be calculated in the shortest possible time and large amounts of data can also be processed.
  • Another goal is, for example, to automatically create floor plans, sections and views from the process according to the requirements of the respective planning phase.
  • Basic static properties such as maximum spans and load-bearing / non-load-bearing components were given preference in the development and have already been created, for example, in the access modules, control elements, modules and / or components.
  • the dimensioning z. B. for floor ceilings, stair cores and exterior walls are preferably already included in the standard case (e.g. in the [adapted] modules) or are calculated. This preferably also applies to the dimensioning of components within the apartments.
  • the creation of the formwork and reinforcement plans is preferably also based on the building model, e.g. B. by considering the control elements.
  • the automated planning of properties taking urban planning aspects into account, is also preferably included in the process. These aspects can preferably be included in the modules.
  • An exemplary embodiment of the invention comprises a computer and / or network-based method for planning and / or one of at least one residential building for at least one specified building type and / or specified dimensions of the residential building, comprising at least one apartment, at least one development and one building, the method comprising the following steps:
  • the calculation and storage of possible combinations of buildings and building sub-units are carried out step by step in a sequence from the smaller to the larger sub-unit, the combination of the at least one sub-unit with the building being calculated last and for each calculation the calculation and storage of the next smaller sub-unit is taken into account. It is therefore an iterative process, as it is e.g. B. is described in the first figure.
  • the storage can for example take place in each case in a subunit solution matrix, which is then used in the next calculation step.
  • previous calculations of combinations of building subunits are also taken into account in a calculation step of a larger building subunit.
  • the room matrix is created with at least one room type, but preferably with several room types, taking into account the modules for the room type.
  • the room types can preferably include certain desired characteristics of a room.
  • the room matrix includes all possible forms of these room types and thus the associated adapted modules for each apartment floor plan.
  • step z. B. created the apartment matrix with at least one apartment type, but preferably with several apartment types, taking into account the modules for the apartment type.
  • the apartment types can preferably include certain desired characteristics of an apartment.
  • the apartment matrix then includes all possible versions of these apartment types and the associated adapted modules for each floor plan.
  • a solution in this matrix is made up of an expression of an apartment type, from the apartment matrix and the compatible, jointly or, if necessary, individually fitting characteristics of the room types from the room matrix. • The procedure is then continued on the next higher building subunit level until finally all combinations of the building subunits and the building have been calculated and saved.
  • structural parameters are selected from the group span of a ceiling, thickness of a ceiling and / or include the requirement and / or positioning of a beam, which, taking into account wall structures, wall thicknesses, wall materials, ceiling spans, the positioning of fire walls and / or the positioning of load-bearing walls.
  • the thickness of the ceiling can, for example, be the thickness of a floor ceiling.
  • a beam is preferably a girder or the like, which absorbs the load of a ceiling, an arch or a wall and transfers it to other components.
  • the load-bearing capacity or the span of a ceiling or an arch can thus be increased by using a girder.
  • structural parameters are selected from the group comprising dimensions and / or positions of:
  • structural sizes can be selected from the group comprising dimensions and / or positions of:
  • the method further comprises the following steps:
  • Subunits are e.g. B. apartments, developments and / or floors, buildings are z. B: residential and / or office building
  • z. B. includes the visual representation of essential parameters of calculated apartments, developments, floors and / or residential buildings and / or creation of a 3D model of calculated apartments, developments and / or residential buildings.
  • the above-mentioned CVS files with the collected solutions can be read into software for visualization and interaction. With the program all solutions can advantageously be made visible.
  • the parameters NU F, VF, TF are preferably also displayed in such software and can be used, for example, filters for solutions (see below).
  • the results can preferably be limited between minimum and maximum values; the sum of the possible solutions can advantageously be reduced accordingly.
  • the calculated solutions can e.g. B. Either according to the NUF, VF, TF or a flexible interaction of all three types of area are visualized / filtered.
  • the final solutions, preferably selected or filtered for further processing, can preferably be read out again as a CVS file using such software and preferably transferred to a CAD program.
  • the solutions can preferably be transferred to a CAD program and the geometrical ones can be combined to form the 3D model fully automatically or partially.
  • the construction of the model which advantageously requires several steps, runs e.g. B. with the support of scripts.
  • the script can be used to determine which construction site was used as the basis for the calculation of the solution and which apartment (s) or which access group were used in a solution.
  • the modules belonging to the solution with their defined characteristics are automatically taken from the script, preferably imported into the CAD program (e.g. Revit) and preferably automatically placed on the corresponding floor plan level.
  • the preferred modules for the roof and the foundation are preferably calculated separately and advantageously automatically added to the corresponding floor plan levels.
  • the building floor plan
  • Another script preferably analyzes and interprets the modules, in particular assigns the corresponding system families or components from the CAD program to the modules and preferably places them on the corresponding floor plan levels, preferably predetermined by the modules.
  • the building model generated in this way already contains all the information that is preferably required for the creation of planning documents, such as B. Ceilings with floor structures, walls with windows and doors, rooms, facade cladding, etc. Labels and dimensional chains should preferably be entered using the CAD program and / or entered automatically.
  • the method can be based on BIM-compatible software and AVA, for example.
  • the method is preferably based on a specially programmed algorithm which preferably accesses a database via a specially developed process chain.
  • the database to be set up in the development process can e.g. B. have a variety of possible forms of housing, development and building types and enable their combination with each other.
  • the suitable development forms, apartment floor plans and the desired apartment mix of a residential building e.g. multi-storey apartment building
  • the building subunit comprises at least one access, one floor, one apartment, one room and / or one piece of furniture.
  • the possible combinations are stored in a graph database, which queries in relation to any combinations of Sub-unit types, dimensions of the building and / or structural sizes allowed and can output suitable combinations.
  • Dimensions of the building are, in particular, dimensions of the residential building.
  • the possible combinations are stored in a graph database, which allows queries with regard to any combinations of apartment types, access types, storey types, building types, dimensions of the residential building and / or structural sizes and can output suitable combinations.
  • a graph database (or graph-oriented database) is preferably a database that uses graphs to prepare highly networked information for storing.
  • a graph preferably includes nodes and edges, the connections between the nodes.
  • Preferred concepts for graph databases are the Resource Description Framework (RDF) and Labeled-Property Graph (LPG).
  • both nodes and edges preferably have properties, also called properties (e.g. weight: 12 kg, color: blue, name: Charlie).
  • triples and quads are preferably modeled using triples and quads.
  • Triples preferably include three elements in the form of node-edge-nodes, which represent a complex graph.
  • Quads preferably expand triples with additional context information, whereby triples can advantageously be combined more easily in groups.
  • Graph databases preferably offer a number of specialized graph algorithms to simplify complex database queries. For example, they offer algorithms to find patterns (graph patterns), to traverse graphs, i. H. to find all direct and indirect neighbors of a node, to calculate the shortest paths between two nodes, to find known graph structures such as cliques or to identify hotspots of particularly strongly networked regions in the graph.
  • the saved CSV files are stored in a graph database.
  • the graph database can map strongly networked data structures and make the dependencies between the data graphically visible.
  • the advantage over a relational database is, in particular, the maintenance of the stored files and the database itself. If additional parameters, evaluation criteria or new floor plan variants for the calculation of an overall solution are added in the course of the calculations, the changed data can advantageously simply be added to the graph database.
  • adjustments to tables, lines and links do not have to be updated. Existing connections & IDs remain in the graph database and are only supplemented with new information. In this way, analysis / evaluation criteria from external customers can preferably simply be attached to the graph database. So z. For example, there are always new analyzes and queries of the database on a case-by-case basis without this data having to be completely regenerated in advance.
  • the graph database preferably offers a flexible query depth.
  • simple queries can be made, such as how many solutions for an overall building are there with a rectangular 2- Room apartments and 3 4-room apartments.
  • this query can also take place in many stages, such as: How many solutions for an overall building are there with a rectangular 2-room apartment and 3 4-room apartments, of which 2 of the 4-room apartments have a shower room and a 4-room apartment has a bathtub has.
  • the quality factor for the 2-room apartment is at least 0.92. (The quality factor indicates how well the apartment meets the Howoge evaluation criteria, see below. The evaluation criteria can, however, be adjusted. The Howoge criteria serve only as an example.)
  • the subunit matrix comprises at least one threshold value parameter that includes distances to be observed from walls and / or threshold values of dimensions of the subunit floor plan in the x and / or y direction, from which a displacement of walls takes place.
  • the subunit can e.g. B. be an apartment.
  • the apartment matrix and / or the modules for at least one apartment type include at least one threshold value parameter that includes the distances to be maintained from walls and threshold values of dimensions of the apartment floor plan in the x and / or y direction, from which a displacement of walls takes place.
  • apartment floor plans can be designed very easily, which correspond to actual living needs.
  • structural parameters include the positioning of an apartment partition wall between two apartments and / or the positioning of an outer wall on the outer surface of an apartment building, with the outer wall preferably being designed as a normal outer wall with exposure areas or as a closed fire wall, depending on the modules.
  • modules of the apartment type comprise elements selected from the group:
  • Information, parameters and / or restrictions on the floor plan of the apartment Information, parameters and / or restrictions on an alignment and / or position of interior walls depending on the floor plan; Information, parameters and / or restrictions on an exposure area of rooms; Information, parameters and / or restrictions on the size of doors and / or a distance between shell openings and adjacent walls; Information, parameters and / or restrictions on a shaft dimension and / or a window area and / or specifications for an area evaluation according to DIN 277.
  • the corresponding sizes can be taken into account and implemented particularly easily and efficiently in the planning process without having to be entered or corrected separately for each draft have to.
  • certain ideas and specifications e.g. should apply in principle or for a specific type of apartment or building, should be taken into account in the automated creation of the drafts; the drafts can also be designed individually.
  • the modules of the building type include dimensions, external wall structures, external wall types, roof types and / or cellar types.
  • the possible subunit floor plans are created by varying them within a predetermined grid dimension, which is preferably 12.5 cm.
  • the possible apartment floor plans are generated by varying them within a given grid dimension, which is preferably 12.5 cm.
  • This grid dimension has proven to be particularly advantageous for the method; in particular, it results in a high degree of individuality and flexibility with regard to the floor plans, without a long computing time being required for the implementation of the method and / or an excessive number of drafts being created which could overwhelm the user.
  • the apartment matrix comprises an area parameter according to DIN 277 and / or future DINs for each apartment floor plan generated.
  • the method further comprises the following steps:
  • a list with evaluation criteria comprising at least one evaluation criterion, is preferably set up in the evaluation catalog.
  • the apartment floor plans and / or the (preferably adapted) modules are then preferably compared with the evaluation criteria and an evaluation is carried out.
  • the evaluation is advantageously more positive, the smaller the discrepancy between the evaluation criteria and the apartment floor plans and / or the modules.
  • a list with all possible values of the apartment floor plans and / or the control elements can also be included in the evaluation catalog, which list includes a corresponding number of points for the evaluation for each value. A higher number of points advantageously corresponds to a better evaluation; it can also be preferred that a lower number of points corresponds to a better evaluation.
  • a selection based on the evaluation preferably corresponds to a selection based on a good or better evaluation.
  • a ranking list can advantageously be created on the basis of the ratings and the selection can be made in accordance with the ranking list.
  • the Evaluation criteria can include technical parameters such as B. include fire protection, in particular technical specifications and / or structural parameters, but also sizes that are primarily related to living comfort, such. B. Available space, incidence of light, (usable) living space, etc. It can preferably also be used already known evaluation criteria such.
  • the overall evaluation of an apartment floor plan is preferably composed of (partial) evaluations of the rooms it contains.
  • the evaluation is z. B. made according to the rules set out in advance in the catalog.
  • the rules can preferably be agreed and / or established in advance. Depending on the database query, different best solutions can preferably result.
  • evaluation criteria in particular with regard to living comfort, are listed below by way of example. However, these are to be understood as examples.
  • the HoWoGe evaluation catalog can be the basis for the evaluation.
  • the kitchens are in the least exposed areas. The question here should be how much light individual areas of use require and whether, for example, a sofa in a low-light area would be right.
  • Kitchen furniture HOWOGE catalog provides that kitchens are (in L-form) is always equipped with a rectangular movement surface which the area between the two legs of the L 's fully fills. This may be based on the idea that a two-row kitchen could also be located in the same area. This massively restricts the furniture. It is therefore necessary to check and decide whether this requirement is to be deviated from.
  • the opening direction of the doors depends on the design. There are no binding guidelines for this.
  • control elements, apartment matrix, the possible combinations of developments and apartments and / or structural dimensions are stored in the form of a JSON file and / or CSV file.
  • the aim of the floor plan assessment is to sort the results of the generator.
  • rules are drawn up that enable floor plans to be evaluated objectively (and in a machine-readable manner). These rules can influence and, if necessary, exclude one another. For this purpose, the rules must be weighted. This is not universal, but can vary depending on the project objective.
  • the rooms and not entire apartments are assessed in each case.
  • the appraisal of the apartment arises from the sum of its rooms.
  • Rooms should be equipped with the furniture modules specified in the FloWoGe catalog. Flier may only overlap the movement areas.
  • Doors should have a stop of 12.5cm on both sides in order to ensure that they can be installed.
  • the embodiment described above has the particular advantage of a preferred (partially) automated selection of apartment floor plans based on predetermined criteria. In this way, the selection efficiency can be improved from a preferably large number of floor plans.
  • modules, subunit matrices and / or structural parameters are stored in the form of a JSON file and / or CSV file.
  • modules, subunit matrix, the possible combinations of subunits and / or structural parameters are read in from a CAD program component and the 3D model of the calculated subunits and / or buildings is created on the basis of these.
  • the invention relates to a computer program product which is adapted in such a way that it executes the method according to one or more embodiments of the description or illustrations.
  • the computer program product is configured in such a way that all available processor cores are used when executing program steps and / or a use of the main memory is adapted to the size of the main memory.
  • the programmed algorithm preferably comprises instructions which define that the calculations run on a plurality of processor cores, if the hardware allows this.
  • it is preferably programmed into the code that the main memory should be used almost completely.
  • a full utilization can preferably never be achieved, since a certain part is always reserved for the operating system.
  • Does the hardware z. B. 32 GB of RAM are used to the full as far as possible. If you expand this main memory, for example by further 32 GB, these are also included in the calculation.
  • all available processor cores and / or the main memory are preferably used optimally.
  • the usage between the servers can preferably also be adapted and optimized during the process, e.g. B. also based on network criteria such as transmission rates between the servers and / or (preferably local) network loads.
  • the invention relates to a computer-readable data carrier which comprises a computer program product described in this document.
  • It can be, for example, a DVD, a CD and / or a USB stick.
  • it is a server application that is hosted within a web server and then writes / stores in a database. It is preferably a graph database and / or an SQL database
  • FIG. 1 Schematic representation of the process.
  • Fig. 2 Representation of furniture modules.
  • Fig. 3 Representation of a variant of a room module.
  • Fig. 4 Representation of the space matrix.
  • Fig. 5 Representation of a variant of an apartment module.
  • Fig. 6 Representation of an apartment matrix.
  • Fig. 7 Representation of a housing solution matrix.
  • Fig. 8 Representation of a result from the housing solution matrix.
  • Fig. 9 Representation of a version of an access module.
  • Fig. 10 Representation of an access matrix.
  • Fig. 11 Representation of a development-solution matrix.
  • Fig. 12 Representation of a result from the development-solution matrix.
  • Fig. 13 Representation of a version of a floor module.
  • Fig. 14 Representation of a floor matrix.
  • Fig. 15 Representation of a floor-solution matrix.
  • Fig. 16 Representation of a result from the floor-solution matrix.
  • Fig. 17 Representation of the building solution matrix.
  • Fig. 18 Representation of the surface for filtering, sorting and selection from the building
  • Fig. 19 Representation of a result (the selected one) from the building solution matrix.
  • Fig. 20 Representation of the result of the solution import.
  • Fig. 21 Representation of a 3D building model generated automatically from the modules.
  • Fig. 22 Representation of planning documents automatically generated from the generated 3D building model.
  • FIG. 23 Representation of a flow chart of calculations on a server device.
  • Fig. 24 Representation of a preferred server-client model
  • FIG. 1 shows schematically and by way of example the computer- and / or network-based method.
  • Each component in this figure provided with reference symbols has a number as reference symbol which corresponds to the number of the figure below in which this component is shown in detail.
  • the room matrix 4 is created with at least one room type, but preferably with several room types, taking into account the modules for room type A 3.
  • the room matrix includes all possible forms of these room types and thus the associated adapted modules for each apartment floor plan.
  • the furniture modules 2 are preferably used as an indicator of the quality of a room module expression, since certain rooms must accommodate a minimum number of certain furniture in order to function of the room and thus also the function of the apartment, the access, the floor and ultimately guarantee the building.
  • a room module characteristic is "good", for example, if the movement areas of the individual required furniture modules 2 overlap as much as possible within a room module characteristic 3, but do not overlap with the actual furniture, as it then becomes too Restrictions could come.
  • the apartment matrix 6 is created with at least one apartment type 5, but preferably with several apartment types, taking into account the modules for apartment type 5.
  • the apartment matrix includes all possible versions of these apartment types and thus the associated adapted modules for each floor plan.
  • An apartment solution 8 in this matrix is made up of an expression of an apartment type (e.g. 5) from the apartment matrix 7 and the compatible, jointly or, if necessary, individually fitting characteristics of the room types (e.g. 3) from the room matrix 4 .
  • a development solution 12 in this matrix is made up of an expression of a development type (e.g. 9) from the development matrix 10 and the compatible jointly or possibly individually fitting characteristics of the apartment solutions (e.g. 8) from the apartment solution matrix 7 together.
  • a floor solution 16 in this matrix is made up of one Formation of a storey type (eg 13) from storey matrix 14 and the compatible forms of the access solutions (eg 12) from the access solution matrix 11 that fit together or, if necessary, only fit into it.
  • a building solution 19 in this matrix is composed of several versions of floor solutions (e.g. 16) from the floor solution matrix 15 stacked on top of one another.
  • the storey matrix 14 (including modules 13) for the storey type and / or the specified dimensions of the residential building, the access matrix 10 (including modules 9) for the at least one specified access type and / or the apartment matrix 6 (including modules 5) of the at least one specified apartment type are taken into account and structural parameters are determined and / or adapted while taking mutual consideration of the modules.
  • the respective versions are included or preferably only calculated at this point.
  • the building solution matrix 17 is displayed in a visual tabular form with essential aggregated parameters of calculated building solutions (including the apartments, developments and / or floors contained therein) 18.
  • this display 18 it is possible to display the information in the building Solution matrix 17 solutions contained (e.g. 19) to filter according to certain values (e.g. number of floors, length and width of the building, number of individual apartment types, accessibility of the apartments) and these filtered solutions based on the parameters / properties / features of the building Sort solutions (e.g. according to area, quality and quantity values) and make a selection.
  • This selected building solution 19 (if necessary also several solutions) can now be transferred to a CAD program (preferably Autodesk Revit) and interpreted as room, apartment, access and floor modules with the help of a script 20 that are placed, if necessary rotated, mirrored and set parametrically.
  • CAD program preferably Autodesk Revit
  • This abstract representation consisting only of “lines”, enables the planner to view the solution, check for errors and subjectively evaluate it before the final digital 3D building model 20 has been generated. If the planner finds the solution to be good, the next step is to use a script based on the modules 20, consisting of individual digital components (walls, ceilings, furniture, doors, windows, stairs, balconies) to create the 3D building model 21 in CAD Program generated.
  • a 3D model of calculated apartments, developments and / or residential buildings is then created.
  • Figure 2 shows the thinner lines show the movement areas of the individual pieces of furniture.
  • Figure 2 shows a selection (single bed, wardrobe and desk) of the furniture modules (in 2D) in a CAD program. In this number, this furniture is also the required furniture, which must be present at least in the type A furniture module.
  • the dashed areas mark the movement areas of the modules that are necessary to ensure functionality.
  • Figure 3 shows a version of the furniture module type A (here e.g. room) (in 2D) in a CAD program.
  • the furniture modules represent the smallest building subunit in the entire process. They also form the basic unit, as they determine whether a room is functional. If the room module (Fig. 4) cannot hold the necessary furniture, it is not functional.
  • Figure 4 shows a partial section of the room matrix in abstract form, in which several versions of the room module type A (here e.g. room) can be seen. It is first generated automatically in the CAD program with the help of a script. Each room module of the same type in this matrix has different dimensions. In the next step, the modules are analyzed and filled with attributes such as area values and qualities. The quality of the room is determined by several factors. The quality of the room increases, for example, if, among other things, the movement areas overlap more strongly without touching the actual furniture, so that the function is still given. Then these elements are abstracted into a table (CSV, TXT or similar) and fed into the database.
  • CSV CSV, TXT or similar
  • FIG. 5 shows a version of the apartment module type A (here e.g. 3-room, L-shape) (in 2D) in a CAD program. Its external dimensions can be manipulated and the interior adapts to it. It is used in the process of visualization, the determination of the qualities and as a placeholder for elements that later form the 3D building model.
  • apartment module type A here e.g. 3-room, L-shape
  • FIG. 6 shows a partial section of the apartment matrix in abstract form, in which several versions of the apartment module type A (here e.g. 3-room, L-shape) can be seen. It is initially generated automatically in the CAD program with the aid of a script. Each apartment module of the same type in this matrix has different dimensions. In the next step, the modules are analyzed and filled with attributes, such as area values and qualities. Then these elements are abstracted into a table (CSV, TXT or similar) and fed into the database.
  • This method has proven itself with all module types, since modules can be easily created for planners in the CAD program (Revit) and a certain intelligence can be built into them (e.g. that the fire walls maintain their distance with changing dimensions and the others orientate themselves on it) This comes close to the conventional planning and thus ensures that the non-specialist computer scientists do not have to take over the planning.
  • Figure 7 shows an abstracted part of the apartment-solution-matrix in which several forms of the apartment-solution-module based on type A can be seen. This process runs within the database and was only made visible here with the help of the modules in the CAD program. The method tries to fill every apartment in the apartment matrix with the rooms from the room matrix, provided that the restrictions of the modules allow it. For example, there can be several versions with different room combinations that have different characteristics for one type of apartment.
  • Figure 8 shows an abstracted solution from the apartment-solution-matrix.
  • the quality of the apartment is the sum of the qualities of the room characteristics that are accommodated in it.
  • Figure 9 shows a version of the access module type A (here for example 4-spans, ground floor, with elevator and technical room) (in 2D) in a CAD program in a plan view. Its external dimensions can be manipulated and the inner workings adapts to it. It is used in the process of visualization, the determination of the qualities and as a placeholder for elements that later form the 3D building model.
  • access module type A here for example 4-spans, ground floor, with elevator and technical room
  • FIG 10 shows an abstracted part of the access matrix, in which several versions of the access module type A can be seen. It is first generated automatically in the CAD program with the help of a script. Each apartment module of the same type in this matrix has different dimensions. In the next step, the modules are analyzed and filled with attributes, such as area values and qualities. Then these elements are abstracted into a table (CSV, TXT or similar) and fed into the database.
  • CSV computer program
  • TXT or similar
  • Figure 11 shows a partial section of the development solution matrix in abstract form, in which several versions of the development solution module based on type A can be seen.
  • This process preferably runs within the database and was only made visible here with the help of the modules in the CAD program.
  • the method tries to fill every development in the development matrix with every apartment solution from the apartment solution matrix, provided that the restrictions of the modules allow it. For example, there can be several versions with different apartment combinations for one development, which have different characteristics.
  • Figure 12 shows an abstracted solution from the development-solution-matrix.
  • the quality of the development is the sum of the qualities of the housing solutions that are accommodated in it.
  • Figure 13 shows a version of the floor module type A (here e.g. rectangle, ground floor) (in 2D) in a CAD program in a plan view. Its outer dimensions can be manipulated and the interior adapts to this. It is used in the process of visualization, the determination of the qualities and as a placeholder for elements that later form the 3D building model.
  • floor module type A here e.g. rectangle, ground floor
  • 2D in 2D
  • Figure 14 shows a partial section of the floor matrix in abstract form, in which several versions of the floor module type A can be seen. It is first generated automatically in the CAD program with the help of a script. Each floor module of the same type in this matrix has different dimensions. In the next step, the modules are analyzed and filled with attributes, such as area values and qualities. Then these elements are abstracted into a table (CSV, TXT or similar) and fed into the database.
  • CSV computer program
  • TXT or similar
  • Figure 15 shows a partial section of the floor-solution matrix in abstract form, in which several versions of the floor-solution module based on type A can be seen. This process runs within the database and was only made visible here with the help of the modules in the CAD program. The method tries to fill every floor in the floor matrix with every development solution from the development solution matrix, provided that the restrictions of the modules allow it. For example, there can be several versions for one floor level with different access combinations and features that differ from one another.
  • Figure 16 shows an abstracted solution from the storey-solution-matrix.
  • the quality of the storey is the sum of the qualities of the access solutions that are housed in it.
  • Figure 17 shows an abstracted part of the building-solution-matrix, in which several forms of the building-solution-module can be seen. This process runs within the database and was only made visible here with the help of the modules in the CAD program. The method tries to combine the floors in the floor-solution matrix vertically (stacking), provided that the restrictions of the modules allow it. There can be several versions with different combinations of floors with different characteristics for one building type (external dimensions and number of floors).
  • Figure 18 shows an abstract representation of the user interface, with the help of which one can select from the set of building solutions from the building solution matrix for the others Steps can take.
  • Figure 19 shows an abstracted solution from the building-solution matrix.
  • the quality of the building is the sum of the qualities of the floor solutions that are housed in it. This solution is transferred to the CAD program.
  • Figure 20 shows the result of the solution import.
  • the characteristics of the module types including room module type A Fig. 3, apartment module type A Fig. 5, access module type A Fig. 9 and floor module type A Fig. 13 placed within the CAD program, possibly rotated and attributed.
  • Figure 21 shows the 3D building model that was created on the basis of the modules from individual components (walls, floors, doors, windows, stairs, elevators, furniture).
  • Figure 22 shows the abstracted plan views derived from the 3D building model.
  • Figure 23 illustrates a flow chart of calculations on a server device 25.
  • the server device 25 is preferably in data connection with a client 27 (not shown in the figure) and receives an input data record from this client.
  • the server device 25 then carries out a large number of optimizations, with individual calculation steps and / or individual optimizations as such being able to be carried out on various different servers that are in data connection with one another. Optimization is preferably carried out using a harmonic search algorithm, with optimization preferably representing an optimal solution for a building specification.
  • the information values included in the input data set (namely: material-related and / or geometry-related building parameters and / or environment-related parameters and / or parameters relating to the building subunit mix as well as the minimum square meter size and / or maximum square meter size of the at least one building subunit) are initially initialized.
  • a flarmonia storage system is then generated and new solutions are created in the course of the optimization.
  • a plurality of optimizations are preferably carried out in parallel on the server device 25, with an optimization preferably taking place in relation to a building subunit mix, to a building geometry and / or to a building environment.
  • New solutions generated by the algorithm are evaluated and annotated, with new solutions continuously being generated in an iteration loop until a stopping criterion is reached.
  • the annotated solutions are then transmitted to a database server which is connected to the server device and in which the solutions are stored. Furthermore, an output data record is generated which includes the optimal solution obtained for a building specification and is transmitted to the client 27.
  • the output data record is data that can be interpreted as CAD and can then be read out in a CAD tool included on the client 27, a building plan being obtained.
  • FIG 24 is an illustration of a preferred client server model.
  • a client 27 is preferably designed as an entity, the entity being an internet-enabled terminal and / or a computer program product and / or a web application installed on a terminal.
  • two clients 27 are in data connection with a preferred server device 25.
  • the server device 25, is in data connection with a database server 29.
  • the respective clients 27 are preferably set up to material-related and / or geometry-related building parameters and / or environmental parameters and / or parameters relating to the building subunit mix as well as the minimum square meter size and / or maximum square meter size of the at least one building subunit in a memory and to generate an input data set.
  • the input data record can then be transmitted to the server device 25.
  • the server device 25 is preferably set up to execute a harmonic search algorithm using the input data set and to generate an output data set, the output data set comprising a building specification optimized for the building area and country-specific building specifications. Furthermore, the server device 25 is set up to transmit an output data record, preferably to a client 27.
  • the server device 25 preferably comprises several servers, the servers being in data connection with one another and being able to carry out calculations cooperatively.
  • the server device 25 preferably stores annotated solutions on the database server 29.
  • the communication between the server device 25 and the database server 29 is preferably bidirectional. Thus, on the one hand, the server devices can store the solutions on the database server 29 and, on the other hand, access already stored solutions that are provided by the database server 29.
  • the database server is also in data connection with a content portal.
  • the content portal (CP) is another server device that manages the self-created content of privileged users.
  • CP is another server device that manages the self-created content of privileged users.
  • a floor plan can be drawn in a CAD program, which in the future is also to be used by the server device 25 for optimization.
  • the floor plan with the corresponding annotations is loaded into the system via the associated "content endpoint".
  • the CP will clean up the imported data record and, for example, import the annotations into the database and organize the delivery or update of the floor plan to other users.

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Abstract

L'invention concerne un procédé et un système de fabrication d'un bâtiment qui comprend au moins une sous-unité de construction. Des conditions de limite technique pour la production d'un bâtiment sont d'abord générées ; dans lesdites conditions de limite technique, une surface de construction et des règlements de construction spécifiques à un pays sont acquis et/ou analysés. Un plan de construction est établi par l'intermédiaire d'un modèle client-serveur sur la base des conditions de limite technique, un dispositif serveur générant une spécification de bâtiment optimisée en termes de conditions de limite technique au moyen d'un algorithme de recherche d'harmonie. Enfin, des mesures de construction pour le bâtiment à produire sont lancées sur la base du plan de construction.
EP21735276.4A 2020-06-23 2021-06-23 Procédé et système de production de bâtiment Pending EP4168918A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP20181659.2A EP3929790A1 (fr) 2020-06-23 2020-06-23 Procédé en réseau pour la conception d'au moins un bâtiment résidentiel
PCT/EP2021/067147 WO2021260005A1 (fr) 2020-06-23 2021-06-23 Procédé et système de production de ​​bâtiment

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EP4168918A1 true EP4168918A1 (fr) 2023-04-26

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EP21735276.4A Pending EP4168918A1 (fr) 2020-06-23 2021-06-23 Procédé et système de production de bâtiment

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CA (1) CA3187644A1 (fr)
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CN114707217B (zh) * 2022-04-06 2022-11-04 建识科技(成都)有限公司 建筑设计自动设计计算方法及系统
CN116883609B (zh) * 2023-09-07 2023-11-21 山东高速德建集团有限公司 基于dynamo的cad结构平面快速转三维模型方法
CN117390833A (zh) * 2023-09-27 2024-01-12 人工智能与数字经济广东省实验室(广州) 一种第一类边界条件pod降阶递推边界条件处理方法及装置
CN117078887B (zh) * 2023-10-17 2024-01-02 成都古河云科技有限公司 三维模型视觉穿透方法、系统、电子设备及存储介质

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CA3187644A1 (fr) 2021-12-30
US20230306153A1 (en) 2023-09-28
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AU2021295698A1 (en) 2023-02-02
EP3929790A1 (fr) 2021-12-29

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