DE102021201195A1 - Quality control of poured concrete elements - Google Patents

Abstract

Method and arrangement for quality control of cast concrete elements for a building trade, a recipe for the concrete element to be produced being provided; wherein fluid data for the manufacture of the concrete element is provided; wherein design data are provided for the concrete element to be produced; wherein temperature data is provided by temperature sensors mounted in and/or on the concrete element; wherein moisture data is provided by moisture sensors mounted in and/or on the concrete element; environmental data for the building trade being provided by a weather station and/or a weather data provider; wherein knowledge data for concrete production is provided; the data provided being recorded in a digital twin for the building trade on a suitable server, the data provided being analyzed by an analysis engine to determine the state of the concrete element in the digital twin, in particular with regard to a setting state and/or the setting time of the concrete element to determine.

Description

The invention relates to a method and an arrangement for quality control of cast concrete elements, in particular on the construction site.

During concrete production, the binder cement is mixed with aggregate (e.g. sand, gravel) with the addition of water. First, so-called fresh concrete is produced, which is still soft and malleable. The fresh concrete still needs a period of time (setting time) to set. During the setting process, the so-called hydration takes place, during which the malleable fresh concrete turns into hard cement stone.

Proper drying of poured concrete elements is of crucial importance for the subsequent quality of the building or construction work. So far, however, this has not been automatically documented. Too early stripping can have an inferior effect on the strength and also on the appearance (optical picture with fair-faced concrete). Excessive shuttering can cause delays in the entire construction process.

It is therefore the object of the present invention to provide a method and an arrangement for quality control of cast concrete elements, which enable quality control of the concrete elements in real time.

• (VS1) Bereitstellen eines Rezeptes (insbesondere die Zementrezeptur und das Mischungsverhältnis der verwendeten Materialien) für das herzustellende Betonelement;
• (VS2) Bereitstellen von Flüssigkeitsdaten (z.B. Menge, Härte, Temperatur des zugemischten Wassers; und/oder chemische Zutaten (z.B. Frostschutz)) zur Herstellung des Betonelementes;
• (VS3) Bereitstellen von Konstruktionsdaten (z.B. Kohlefasern, Armierung, Stahlarmierung (z.B. ST37, Baustahl), Masse, geometrische Umfangsdaten (Breite, Höhe, Länge, Fläche, geometrische Form) für das herzustellende Betonelement;
• (VS4) Bereitstellen von Temperaturdaten (z.B. gemessene und/oder abgeleitete Temperatur) von Temperatursensoren (mit Vorteil WLAN fähig und/oder mit Vorteil mit integriertem Messverstärker), die im und/oder am Betonelement angebracht sind;
• (VS5) Bereitstellen von Feuchtigkeitsdaten von Feuchtigkeitssensoren (mit Vorteil WLAN fähig und/oder mit Vorteil mit integriertem Messverstärker), die im und/oder am Betonelement (BT) angebracht sind;
• (VS6) Bereitstellen von Umgebungsdaten (z.B. Temperatur, Feuchtigkeit, Wind) für das Baugewerk (z.B. Gebäude, Brücke, Tunnel oder ein anders Infrastrukturprojekt) von einer Wetterstation (proprietär und/oder externer Betreiber) und/oder einem Wetterdatenprovider;
• (VS7) Bereitstellen von Wissensdaten (z.B. Erfahrungsdaten, Werkstofftabellen, Mischungstabellen; prognostiziert bzw. abgeleitete Daten) für die Betonherstellung aus einer Wissensdatenbank (z.B. bereitgestellt durch einen Cloud-Server);
• (VS8) Erfassen der bereitgestellten Daten in einem digitalen Zwilling (Digital Twin) für das Baugewerk auf einem geeigneten Server (S), insbesondere einem Cloud-Server;
• (VS9) Analyse der bereitgestellten Daten zur Bestimmung des Zustands des Betonelements im digitalen Zwillings durch eine Analyse-Engine, basierend auf geeigneten Maschine-Learning-Algorithmen, insbesondere um den Abbindungszustand und/oder den Abbindungszeitpunkt des Betonelementes zu bestimmen. Der Zement umfasst üblicherweise Rohstoffe wie Kalkstein, Ton, Quarzsand und Eisenerz. Die Rohstoffe werden gemahlen und bei 1.400 bis 1.500 °C gebrannt, um so genannten Zementklinker herzustellen. Dieser Zementklinker wird üblicherweise mit Zusatzstoffen wie Hüttensand, Flugasche, Kalkstein und Gips vermischt, und noch einmal gemahlen.

The task is solved by a method for quality control of cast concrete elements, in particular on the construction site, comprising the following steps:

• (VS1) providing a recipe (in particular the cement recipe and the mixing ratio of the materials used) for the concrete element to be produced;
• (VS2) Provision of liquid data (e.g. quantity, hardness, temperature of the water added; and/or chemical ingredients (e.g. antifreeze)) for the production of the concrete element;
• (VS3) Provision of design data (e.g. carbon fibers, reinforcement, steel reinforcement (e.g. ST37, structural steel), mass, geometric perimeter data (width, height, length, area, geometric shape) for the concrete element to be produced;
• (VS4) Provision of temperature data (e.g. measured and/or derived temperature) from temperature sensors (advantageously WLAN-enabled and/or advantageously with an integrated measuring amplifier), which are fitted in and/or on the concrete element;
• (VS5) Provision of moisture data from moisture sensors (advantageously WLAN-enabled and/or advantageously with an integrated measuring amplifier), which are attached in and/or on the concrete element (BT);
• (VS6) providing environmental data (e.g. temperature, humidity, wind) for the structure (e.g. building, bridge, tunnel or other infrastructure project) from a weather station (proprietary and/or external operator) and/or a weather data provider;
• (VS7) providing knowledge data (e.g. empirical data, material tables, mixture tables; predicted or derived data) for concrete production from a knowledge database (e.g. provided by a cloud server);
• (VS8) recording the data provided in a digital twin (digital twin) for the construction trade on a suitable server (S), in particular a cloud server;
• (VS9) Analysis of the data provided to determine the state of the concrete element in the digital twin by an analysis engine, based on suitable machine learning algorithms, in particular to determine the setting state and/or the setting time of the concrete element. The cement usually includes raw materials such as limestone, clay, silica sand and iron ore. The raw materials are ground and burned at 1,400 to 1,500 °C to produce so-called cement clinker. This cement clinker is usually mixed with additives such as blast furnace slag, fly ash, limestone and gypsum, and ground again.

In addition, there is usually sand or gravel, which ensures the granularity of the concrete mixture for the concrete elements to be produced. The recipe includes the cement recipe and the mixing ratio of the materials used. The temperature and humidity sensors can each be used individually or as integrated combination sensors. The temperature and humidity sensors are advantageously attached to the formwork elements used. Advantageously, the temperature and humidity sensors are IoT-capable. This means that the measured values of the sensors can be transmitted to the Internet (eg to a server or cloud server) via appropriate communication links (eg radio, WLAN, satellite). The temperature and humidity sensors are advantageously reusable. The server or cloud server is set up to convert the measured values received from the sensors and the other data provided into a digital building information model (BIM, Building Information Model). a suitable notation (e.g. IFC, Industry Foundation Class or another suitable object model).

The analysis engine is configured to receive, cleanse, and model the received data to draw conclusions regarding the current connectivity state. The analysis engine is advantageously set up to make statements about a sufficient and/or optimal binding quality.

The analysis engine is advantageously set up to make statements about a sufficient and/or optimal binding time.

Advantageously, real-time monitoring of the construction progress in connection with extensive data analysis and automation lead to early detection of defects and support planning and proactive reactions.

A first advantageous embodiment of the invention lies in the fact that the analysis of the condition of the concrete element includes determining parameters for the optimal setting time of the concrete element. With sensors that measure the setting state (temperature/humidity) in relation to the concrete part data (mass) from the BIM model, taking into account the environmental conditions, the optimal time can be determined and included in the work planning.

A further advantageous embodiment of the invention lies in the fact that the method includes the provision of infrastructure data (e.g. static building data; e.g. data on trades or systems installed in the building) for the construction trade from an asset management system. An asset management system in building management manages, for example, the trades installed in the building and the infrastructure used in the building (e.g. electrics, heating, ventilation, air conditioning, HVAC). An asset management system ensures, for example, that the maintenance cycles required for the infrastructure are adhered to. Among other things, in cooperation with the facility management for the building. The infrastructure data is advantageously stored in the building information model (BIM). The analysis engine can also use the infrastructure data for its calculations.

A further advantageous embodiment of the invention lies in the fact that the method includes the provision of planning data for the building trade. This planning data can be used for the order of manufacture of the concrete elements.

A further advantageous embodiment of the invention is that the setting state of the concrete element is stored in a digital building information model (BIM). This automatically documents the progress of the building and the respective quality of the manufactured concrete elements at a certain point in time.

A further advantageous embodiment of the invention is that the respective current setting state of the concrete element is stored in real time in the digital building information model (BIM). As a result, the binding status is updated in real time. Furthermore, the construction management and/or the responsible architect can query the respective current binding status of concrete elements that are being produced on the construction site in real time. Based on the respective current setting states of concrete elements, further or subsequent construction steps or construction measures can be initiated. This optimizes the construction planning, among other things.

A further advantageous embodiment of the invention is that the analysis engine determines the current quality of the concrete element based on the current setting state of the concrete element and an evaluation of the temperature data and/or the moisture data. Furthermore, the construction management and/or the responsible architect can query the respective current quality status of concrete elements that are being produced on the construction site in real time. Based on the respective current quality status of concrete elements, further or subsequent construction steps or construction measures can be initiated. This optimizes the construction planning, among other things.

In the BIM model and thus in the digital twin of the building or construction work, this data is recorded with regard to the current connection status for later quality assessment by the client. Project managers can get an update on the history of the schedule, which in turn allows them to see if they are behind or on schedule. This allows project managers to proactively respond when a delay is reported. Currently, no such mechanism is in place to allow tracking the progress of this work in compliance with quality requirements using automated tools (e.g. planning tools).

IoT-capable sensors (temperature, humidity sensors) deliver the respective measured values for the building model at defined times (e.g. every full hour) and/or at defined time intervals (e.g. every 10 minutes, every 15 minutes, every 30 minutes or every hour). (BIM) or for the Digital Twin (Building Twin). The construction process is thus automatically documented and monitored.

A further advantageous embodiment of the invention is that the analysis engine, based on the current setting state of the concrete element and an evaluation of the temperature data, the moisture data, and the design data of the concrete element, in particular through a trend analysis, determines the time at which a defined quality of the concrete element is reached definitely. This increases planning security for the following construction steps or construction measures.

A further advantageous embodiment of the invention is that the analysis engine generates and/or forecasts project management data with regard to the construction progress for the building or the construction work based on the data provided. The project management data is advantageously exported to a suitable project management tool (e.g. MS Project) and/or made available in a suitable project management tool. The project management data are advantageously made available on a smartphone and/or tablet computer in a suitable project management app. This means that the current project management data can also be accessed on the construction site.

A further advantageous embodiment of the invention lies in the fact that the current setting state of the concrete element is output in real time on suitable output means. A suitable output device can be, for example, a smartphone, a tablet computer, or a workstation with appropriate output media (display, screen, audio output, etc.).

A further advantageous embodiment of the invention lies in an arrangement for determining the quality of cast concrete elements, set up for carrying out the above method for quality control of cast concrete elements. The arrangement is advantageously implemented at least partially with components on site. E.g. computer in the construction site office, WLAN in the construction site area.

The task is further solved by an arrangement for the quality control of cast concrete elements for a building trade (e.g. building, bridge, tunnel or another infrastructure project),
wherein a recipe (in particular the cement recipe and the mixing ratio of the materials used) can be provided for the concrete element to be produced;
liquid data (e.g. quantity, hardness, temperature of the water mixed in; and/or chemical ingredients (e.g. antifreeze)) being able to be made available for the production of the concrete element;
wherein design data (e.g. carbon fibers, reinforcement, steel reinforcement (e.g. ST37, structural steel), mass, geometric perimeter data (width, height, length, area, geometric shape)) for the concrete element to be produced can be provided by accessing a building information model (BIM);
wherein temperature data (eg measured and/or derived temperature) can be provided by temperature sensors (advantageously WLAN-enabled and/or advantageously with an integrated measuring amplifier), which are installed in and/or on the concrete element;
wherein moisture data (eg measured and/or derived moisture data) can be provided by moisture sensors (advantageously WLAN-enabled and/or advantageously with an integrated measuring amplifier), which are installed in and/or on the concrete element;
wherein environmental data (e.g. temperature, humidity, wind) for the building trade can be provided by a weather station (proprietary and/or external operator) and/or a weather data provider;
knowledge data (e.g. empirical data, tables; predicted or derived data) for concrete production from a knowledge database (e.g. provided by a cloud server) being able to be made available;
the data provided can be recorded in a digital twin (digital twin) for the construction trade on a suitable server, in particular a cloud server,
the data provided for determining the state of the concrete element in the digital twin (DT) by an analysis engine (comprising suitable software and hardware), based on suitable machine learning algorithms, in particular to determine a setting state and/or the setting time of the concrete element determine, are analyzable. The recipe includes the cement recipe and the mixing ratio of the materials used. The temperature and humidity sensors can each be used individually or as integrated combination sensors. The temperature and humidity sensors are advantageously attached to the formwork elements used. Advantageously, the temperature and humidity sensors are IoT-capable. This means that the measured values of the sensors can be transmitted to the Internet (eg to a server or cloud server) via appropriate communication links (eg radio, WLAN, satellite). The temperature and humidity sensors are advantageously reusable. The server or cloud server is set up to convert the measured values received from the sensors and the other data provided into a digital building information model (BIM, Building Information Model) in a suitable notation (e.g. IFC, Industry Foundation Class or another suitable object model).

The analysis engine is configured to receive, cleanse, and model the received data to draw conclusions regarding the current connectivity state. The analysis engine is advantageously set up to make statements about a sufficient and/or optimal binding quality. The analysis engine is advantageously set up to make statements about a sufficient and/or optimal binding time.

Advantageously, real-time monitoring of the construction progress in connection with extensive data analysis and automation lead to early detection of defects and support planning and proactive reactions.

A further advantageous embodiment of the invention lies in the fact that the temperature sensors and the moisture sensors are integrated in appropriately set up formwork elements for the concrete element to be produced. The temperature and humidity sensors are advantageously attached to the formwork elements used. Advantageously, the temperature and humidity sensors are IoT-capable. This means that the measured values of the sensors can be transmitted to the Internet (e.g. to a server or cloud server) via appropriate communication connections (e.g. radio, WLAN, satellite). The temperature and humidity sensors are advantageously reusable.

A further advantageous embodiment of the invention is that the temperature sensors and the humidity sensors are IoT-enabled devices that are set up to transmit the temperature data and/or the humidity data to the server via a suitable communication link (e.g. radio). the server is advantageously a cloud server. Advantageously, the temperature and humidity sensors are IoT-capable. This means that the measured values of the sensors can be transmitted to the Internet (e.g. to a server or cloud server) via appropriate communication connections (e.g. radio, WLAN, satellite). The server or cloud server is set up to store the measured values received from the sensors and the other data provided in a building information model (BIM, Building Information Model) in a suitable notation (e.g. IFC, Industry Foundation Class or another suitable object model).

A further advantageous embodiment of the invention lies in the fact that the current setting status of the concrete element can be output in real time on a suitable output device (e.g. smartphone, tablet computer, app).

A further advantageous embodiment of the invention lies in the fact that the components of the arrangement are located on the construction site of the building trade. The arrangement is advantageously implemented at least partially with components on site. E.g. computer in the construction site office, WLAN in the construction site area.

• 1 ein beispielhaftes Flussdiagramm für ein Verfahren zur Qualitätskontrolle von gegossenen Betonelementen, und
• 2 eine beispielhafte Anordnung zur Qualitätskontrolle von gegossenen Betonelementen.

The invention and advantageous embodiments of the present invention are explained using the example of the figure below. It shows:

• 1 an exemplary flow chart for a method for quality control of cast concrete elements, and
• 2 an exemplary arrangement for quality control of cast concrete elements.

To make concrete, the cement binder is mixed with aggregate and water is added. The first step is fresh concrete, which is still soft and malleable. Then it takes about 24 hours for the concrete to set. This period of time is also referred to as the setting time. During the setting, the so-called hydration takes place, i.e. the reaction between the cement and the mixing water. The hard cement stone is formed from the deformable fresh concrete. This hardening is a relatively slow chemical process in which most of the water is chemically bound.

The cement usually includes raw materials such as limestone, clay, silica sand and iron ore. The raw materials are ground and burned at 1,400 to 1,500 °C to produce so-called cement clinker. This cement clinker is usually mixed with additives such as blast furnace slag, fly ash, limestone and gypsum, and ground again. In addition, there is usually sand or gravel, which ensures the granularity of the concrete mixture for the concrete elements to be produced. The recipe includes the cement recipe and the mixing ratio of the materials used.

In practice, additives (e.g. reinforcements) and admixtures (e.g. antifreeze) are usually added to concrete mixtures in order to achieve certain desired properties (e.g. production of reinforced concrete).

Cements, especially those with high strength, have largely set after about 24 hours, but have not yet fully hardened. Depending on the cement recipe, this can take four weeks or even up to several months.

Proper drying and hardening of the poured concrete elements is of crucial importance for the subsequent quality of the building or construction work. So far, however, this has not been automatically documented. Formwork removal that is too early can have an inferior effect on the strength and also the appearance (optical picture with fair-faced concrete). Excessive shuttering can cause delays in the entire construction process.

According to the invention, real-time monitoring of the production progress and/or the quality of the concrete elements is proposed in connection with an extensive collection of measured values (particularly temperature data series and moisture data series) and data analysis. This allows defects in the concrete elements to be detected at an early stage. Furthermore, a reliable planning of the construction progress is ensured and proactive reactions are supported.

• (VS1) Bereitstellen eines Rezeptes (z.B. Zementrezeptur, Mischungsverhältnis der Materialien) für das herzustellende Betonelement;
• (VS2) Bereitstellen von Flüssigkeitsdaten (Menge, Härte, Temperatur des verwendeten Wassers; chemische Zutaten (z.B. Frostschutz)) zur Herstellung des Betonelementes;
• (VS3) Bereitstellen von Konstruktionsdaten (z.B. Kohlefasern, Armierung, Stahlarmierung (ST37, Baustahl), Masse, geometrische Umfangsdaten) für das herzustellende Betonelement;
• (VS4) Bereitstellen von Temperaturdaten von Temperatursensoren, die im und/oder am Betonelement angebracht sind;
• (VS5) Bereitstellen von Feuchtigkeitsdaten von Feuchtigkeitssensoren, die im und/oder am Betonelement angebracht sind;
• (VS6) Bereitstellen von Umgebungsdaten (z.B. Temperatur, Feuchtigkeit, Wind) für das Baugewerk (Gebäude, Brücke, Tunnel oder ein anders Infrastrukturprojekt) von einer Wetterstation (eigene Wetterstation auf der Baustelle) und/oder einem Wetterdatenprovider (z.B. eine Meteorologische Einsichtung);
• (VS7) Bereitstellen von Wissensdaten (z.B. Erfahrungsdaten, Werkstofftabellen, Mischungstabellen; prognostiziert bzw. abgeleitete Daten) für die Betonherstellung aus einer Wissensdatenbank (z.B. proprietäre Wissensdatenbank und/oder Wissensdatenbank eines Dritten);
• (VS8) Erfassen der bereitgestellten Daten in einem digitalen Zwilling (Digital Twin) für das Baugewerk auf einem geeigneten Server (S), insbesondere einem Cloud-Server;
• (VS9) Analyse der bereitgestellten Daten zur Bestimmung des Zustands des Betonelements im digitalen Zwillings durch eine Analyse-Engine (implementiert durch geeignete Hardware und Software), basierend auf geeigneten Maschine-Learning-Algorithmen, um Abbindungszustand des Betonelementes zu bestimmen. Das Verfahren wird durch geeignete und entsprechend eingerichtete Hardware (Speicher, Prozessoren, Ausgabemittel), Software (KI-Programme) und Kommunikationsmittel (Internet, Funk, WLAN, Satellitenverbindung) realisiert.

1 shows an exemplary flow chart for a method for quality control of cast concrete elements (or concrete parts), in particular on the construction site, comprising the following steps:

• (VS1) providing a recipe (eg cement recipe, mixing ratio of the materials) for the concrete element to be produced;
• (VS2) Provision of liquid data (amount, hardness, temperature of the water used; chemical ingredients (e.g. antifreeze)) for the production of the concrete element;
• (VS3) providing design data (eg carbon fibers, reinforcement, steel reinforcement (ST37, structural steel), mass, geometric perimeter data) for the concrete element to be produced;
• (VS4) providing temperature data from temperature sensors that are installed in and/or on the concrete element;
• (VS5) providing moisture data from moisture sensors mounted in and/or on the concrete element;
• (VS6) Provision of environmental data (e.g. temperature, humidity, wind) for the construction work (building, bridge, tunnel or other infrastructure project) from a weather station (own weather station on the construction site) and/or a weather data provider (e.g. a meteorological insight);
• (VS7) providing knowledge data (e.g. empirical data, material tables, mixture tables; predicted or derived data) for concrete production from a knowledge database (e.g. proprietary knowledge database and/or knowledge database of a third party);
• (VS8) recording the data provided in a digital twin (digital twin) for the construction trade on a suitable server (S), in particular a cloud server;
• (VS9) Analysis of the data provided to determine the state of the concrete element in the digital twin by an analysis engine (implemented by suitable hardware and software), based on suitable machine learning algorithms, to determine the state of setting of the concrete element. The method is implemented using suitable and appropriately set up hardware (memory, processors, output means), software (AI programs) and means of communication (Internet, radio, WLAN, satellite connection).

Optionally, the method includes the method step (VS10): Determination of the point in time when a defined quality of the concrete element is reached.

When analyzing the condition of the concrete element, it is advantageous to determine parameters for the optimal setting time of the concrete element.

The method advantageously includes the provision of infrastructure data for the building trade from an asset management system. The method advantageously includes the provision of planning data for the building trade. This data can be used by a planning tool.

The setting state of the concrete element is advantageously stored in a digital building information model (BIM).

Advantageously, the respective current setting state of the concrete element is stored in real time in the digital building information model (BIM). Advantageously, the binding status is updated in real time.

The analysis engine advantageously determines the current quality (e.g. hardening, drying, load capacity) of the concrete element based on the current setting state of the concrete element and an evaluation of the temperature data and/or the moisture data (F).

The analysis engine advantageously determines based on the current setting state of the concrete element and an evaluation of the temperature data, the moisture data and the design data of the concrete element, in particular through a trend analysis, the point in time when a defined quality (e.g. hardening, drying, resilience) of the concrete element is reached.

The analysis engine advantageously generates and/or forecasts project management data with regard to the construction progress for the building or building trade based on the data provided.

The current setting state of the concrete element is advantageously output in real time on suitable output means. A suitable output device can be, for example, a smartphone, a tablet computer, or a workstation with appropriate output media (display, screen, audio output, etc.).

Advantageously, the temperature and humidity sensors are IoT-capable. This means that the measured values of the sensors can be transmitted to the Internet (e.g. to a server or cloud server) via appropriate communication connections (e.g. radio, WLAN, satellite). The temperature and humidity sensors are advantageously reusable. The server or cloud server is set up to store the measured values received from the sensors and the other data provided in a building information model (BIM, Building Information Model) in a suitable notation (e.g. IFC, Industry Foundation Class or another suitable object model).

The server or cloud server is set up to store the measured values received from the sensors and the other data provided in a building information model (BIM, Building Information Model) in a suitable notation (e.g. IFC, Industry Foundation Class or another suitable object model).

The analysis engine is configured to receive, cleanse, and model the received data to draw conclusions regarding the current connectivity state. The analysis engine is advantageously set up to make statements about a sufficient and/or optimal binding quality. The analysis engine is advantageously set up to make statements about a sufficient and/or optimal binding time.

The digital twin is analyzed by an analysis engine (appropriately configured processor with appropriate software) based on suitable machine learning algorithms (e.g. artificial intelligence algorithms, preferably deep learning algorithms).

2 shows an exemplary arrangement for quality control of cast concrete elements BT for a building trade BG (e.g. building, tunnel, bridge),
wherein a recipe ZR (eg cement recipe, mixing ratio of the materials used) can be provided for the concrete element BT to be produced;
wherein liquid data FD (quantity, hardness, temperature of the water used; chemical ingredients (eg antifreeze)) can be provided for the production of the concrete element BT;
where construction data KD (e.g. carbon fibers, reinforcement, steel reinforcement (ST37, construction steel), mass, density, geometric circumference and shape data, e.g. width x height x length) for the concrete element BT to be produced by accessing a building information model (BIM, Building Information Model) can be provided;
wherein temperature data T (eg temperature readings, time series of temperature readings) can be provided by temperature sensors TS that are installed in and/or on the concrete element BT;
wherein humidity data F (eg humidity readings, time series of humidity readings) can be provided by humidity sensors FS that are installed in and/or on the concrete element BT;
environmental data ED (eg temperature, humidity, wind, weather data) for the building trade BG (eg building, bridge, tunnel or another infrastructure project) being able to be provided by a weather station WST and/or a weather data provider WDP;
knowledge data WD for the production of concrete from a knowledge database DB1 (eg empirical data, material tables, mixture tables; predicted or derived data) can be made available;
the data provided can be recorded in a digital twin DT (digital twin, building twin) for the building trade BG on a suitable server S (e.g. cloud server),
wherein the data provided for determining the state of the concrete element BT in the digital twin DT can be analyzed by an analysis engine AE, based on suitable machine learning algorithms, in particular in order to determine a setting state AZ and/or the setting time AT of the concrete element BT .

For example, the knowledge database DB1 can be a relational database hosted on a cloud server, for example. The knowledge database DB1 can be provided and maintained, for example, by an engineering office and/or a university. However, the knowledge database DB1 can also be a proprietary knowledge database of the responsible concrete construction company, which includes accumulated knowledge and experience relating to concrete production.

The temperature sensors TS and the humidity sensors FS are advantageous set up formwork elements integrated for the concrete element to be produced BT.

The temperature sensors TS and the humidity sensors FS are advantageously IoT-enabled devices that are set up to transmit the temperature data T and/or the humidity data F to the server S via a suitable communication link (e.g. radio, satellite connection, WLAN). , the server S advantageously being a cloud server. The server S includes suitable storage means (e.g. database, main memory, secondary storage (drives, etc.), processor means, means of communication (e.g. wireless connections, Internet connection) and suitable input/output means (keyboard, mouse, screen, etc.).

The current setting state AZ of the concrete element BT can advantageously be output in real time on a suitable output device MG, LP, WS (e.g. smartphone, tablet computer, laptop, PC, workstation). Possible output devices are, for example, smartphone MG, tablet computer, laptop LP, PC, workstation WS, etc.

The analysis of the setting state AZ of the concrete element BT advantageously includes determining parameters for the optimal setting time AT of the concrete element BT. With sensors that measure the setting state AZ (temperature/humidity) in relation to the concrete part data (mass) from the BIM model BIM, taking into account the environmental conditions ED, the optimal time can be determined and included in the work planning. This optimal point in time is advantageously exported to a project management or planning tool PMT.

Advantageously, infrastructure data SGD (e.g. static building data; e.g. data on trades or systems installed in the building) are provided for the building trade BG by an asset management system AS. An asset management system AS in building management manages, for example, the trades installed in the building and the infrastructure used in the building (e.g. electrics, heating, ventilation, air conditioning, HVAC). An AS asset management system ensures, for example, that the maintenance cycles required for the infrastructure are adhered to, e.g. in cooperation with the facility management for the building. The infrastructure data SGD are advantageously stored in the building information model BIM. The analysis engine AE can also use the infrastructure data SGD for its calculations.

Advantageously, the architect Arch provides planning data PD for the building trade BG. This planning data PD can be used for the order in which the concrete elements BT are manufactured.

The setting state AZ of the concrete element BT is advantageously stored in the digital building information model BIM. As a result, the building progress and the respective quality QD of the manufactured concrete elements BT are automatically documented at a certain point in time.

The respective current setting state AZ of the concrete element BT is advantageously stored in real time in the digital building information model BIM. As a result, the binding state AZ is updated in real time. Furthermore, the construction management and/or the responsible architect Arch can query the respective current binding status of concrete elements that are being produced on the construction site in real time. Based on the respective current binding states AZ of concrete elements BT, further or subsequent construction steps or construction measures can be initiated. This optimizes the construction planning, among other things.

The analysis engine AE advantageously determines the current quality QD (e.g. degree of dryness, hardness, tension) of the concrete element BT based on the current setting state AZ of the concrete element BT and an evaluation of the temperature data T and/or the moisture data F. Furthermore, the construction management B and/or the responsible architect Arch, B can query the respective current quality status QD of concrete elements BT that are being produced on the construction site in real time. Based on the respective current quality statuses QD of concrete elements BT, further or subsequent construction steps or construction measures can be initiated. Among other things, this optimizes construction planning, with the advantage of including a project management tool PMT, e.g. MS-Project.

In the BIM model BIM and thus in the digital twin DT of the building or construction work BG, this data is recorded with regard to the current binding status AZ for the subsequent quality assessment by the client. Project managers can get an update on the history of the schedule, which in turn allows them to see if they are behind or on schedule. This allows project managers to proactively respond when a delay is reported. Currently, no such mechanism is in place that allows tracking the progress of this work while complying with quality requirements using automated tools (e.g. planning tools PMT).

The temperature sensors TS and the moisture sensors FS are advantageously set up to be used in the field or on a construction site the, for example, through a correspondingly resistant housing or electronics. Furthermore, the temperature sensors TS and the humidity sensors FS are set up to be able to work correctly in adverse environments (eg bad weather). Advantageously, the temperature sensors TS and the humidity sensors FS are IoT-capable (i.e. they can be connected to the Internet or an intranet for communication, e.g. via suitable radio links. The IoT-capable sensors (temperature, humidity sensors) deliver at defined times (e.g. every full hour) and/or at defined time intervals (e.g. every 10 minutes, every 15 minutes, every 30 minutes or every hour) the respective measured values for the building model BIM or for the digital twin DT (Building Twin). documented and monitored.

The analysis engine AE advantageously determines the time at which a defined quality QD ( e.g. degree of drying) of the concrete element BT. This increases planning security for the following construction steps or construction measures.

The analysis engine AE advantageously generates and/or forecasts project management data with regard to the construction progress for the building or the construction work BG based on the data provided. The project management data are advantageously exported to a suitable project management tool PMT (e.g. MS Project) and/or made available in a suitable project management tool PMT. The project management data are advantageously provided on a smartphone MG and/or tablet computer in a suitable project management app for a user B (e.g. site manager, architect). This means that the current project management data can also be accessed on the construction site.

The current setting state AZ of the concrete element BT is advantageously output in real time on suitable output means. A suitable output means can be, for example, a smartphone MG, a tablet computer, a laptop LP or a workstation WS with appropriate output media (display, screen, audio output, etc.).

The arrangement is advantageously implemented at least partially with components on site. E.g. computer in the construction site office, WLAN in the construction site area.

Method and arrangement for quality control of cast concrete elements for a building trade, a recipe for the concrete element to be produced being provided; wherein fluid data for the manufacture of the concrete element is provided; wherein design data are provided for the concrete element to be produced; wherein temperature data is provided by temperature sensors mounted in and/or on the concrete element; wherein moisture data is provided by moisture sensors mounted in and/or on the concrete element; environmental data for the building trade being provided by a weather station and/or a weather data provider; wherein knowledge data for concrete production is provided; the data provided being recorded in a digital twin for the building trade on a suitable server, the data provided being analyzed by an analysis engine to determine the state of the concrete element in the digital twin, in particular with regard to a setting state and/or the setting time of the concrete element to determine.

Reference List

BIM

building model

ZR

recipe

AS

asset management system

SGD

infrastructure data

WDP

weather data provider

WST

weather station

ED

environmental data

DB1, DB2

Database

WD

knowledge data

KD

construction data

FD

liquid data

DT

digital twin

AE

analysis engine

bg

construction trade

T

temperature

bb

building description

BT

component

TS

temperature sensor

FS

humidity sensor

f

humidity

arch

architect

PD

planning data

PMT

project management tool

MG

Mobile communication terminal

LP

Laptop

WS

workstation

AZ

binding state

AT

binding time

QD

quality data

PMD

project management data

VS1 - VS9

process step

Claims (15)

Procedure for quality control of cast concrete elements (BT), especially on site, comprising the following steps: (VS1) providing a recipe (ZR) for the concrete element (BT) to be produced; (VS2) providing liquid data (FD) for the production of the concrete element (BT); (VS3) providing design data (KD) for the concrete element (BT) to be produced; (VS4) providing temperature data (T) from temperature sensors (TS) which are fitted in and/or on the concrete element (BT); (VS5) providing moisture data (F) from moisture sensors (FS) which are fitted in and/or on the concrete element (BT); (VS6) providing environmental data (ED) for the building trade (BG) from a weather station (WST) and/or a weather data provider (WDP); (VS7) providing knowledge data (WD) for the production of concrete from a knowledge database (DB1); (VS8) recording the data provided in a digital twin (DT) for the construction trade (BG) on a suitable server (S), in particular a cloud server; (VS9) Analysis of the data provided to determine the state of the concrete element in the digital twin (DT) by an analysis engine (AE), based on suitable machine learning algorithms. procedure after claim 1 , wherein the analysis of the state of the concrete element (BT) includes determining parameters for the optimal setting time (AT) of the concrete element (BT). procedure after claim 1 or claim 2 , further comprising: providing infrastructure data (SGD) for the construction trade (BG) from an asset management system (AS); A method according to any one of the preceding claims, further comprising: Provision of planning data (PD) for the building trade (BG). Method according to one of the preceding claims, wherein the setting state (AZ) of the concrete element (BT) is stored in a digital building information model (BIM). Method according to one of the preceding claims, wherein the respective current setting state (AZ) of the concrete element (BT) is stored in real time in the digital building information model (BIM). Method according to one of the preceding claims, wherein the analysis engine (AE) based on the current setting state (AZ) of the concrete element (BT) and an evaluation of the temperature data (T) and / or the moisture data (F) the current quality (QD) of the concrete element (BT). Method according to one of the preceding claims, wherein the analysis engine (AE) based on the current setting state (AZ) of the concrete element (BT) and an evaluation of the temperature data (T), the moisture data (F) and the design data of the concrete element (BT ), in particular by means of a trend analysis, determines when a defined quality of the concrete element (BT) is reached. Method according to one of the preceding claims, wherein the analysis engine (AE) generates and/or forecasts project management data (PMD) with regard to the construction progress for the building (GB) based on the data provided. Method according to one of the preceding claims, in which the current setting state (AZ) of the concrete element (BT) is output in real time on suitable output means (MG, LP, WS). Arrangement for determining the quality (QD) of cast concrete elements (BT), set up to carry out one of the preceding claims. Arrangement for quality control of cast concrete elements (BT) for a building trade (BG), wherein a recipe (ZR) for the concrete element (BT) to be produced can be provided; wherein liquid data (FD) for the production of the concrete element (BT) can be provided; whereby design data (KD) for the manufacture each concrete element (BT) can be provided by accessing a building information model (BIM); wherein temperature data (T) can be provided by temperature sensors (TS) which are fitted in and/or on the concrete element (BT); wherein moisture data (F) from moisture sensors (FS) that are attached in and/or on the concrete element (BT) can be provided; wherein environmental data (ED, eg temperature, humidity, wind) for the building trade (BG) can be provided by a weather station (WST) and/or a weather data provider (WDP); wherein knowledge data (WD) for the production of concrete can be made available from a knowledge database (DB1); wherein the data provided can be recorded in a digital twin (DT) for the building trade (BG) on a suitable server (S), wherein the data provided for determining the state of the concrete element (BT) in the digital twin (DT) can be determined by an analysis Engine (AE), based on suitable machine learning algorithms, can be analyzed. arrangement according to claim 12 , wherein the temperature sensors (TS) and the moisture sensors (FS) are integrated in correspondingly set up formwork elements for the concrete element (BT) to be produced. arrangement according to claim 12 or 13 , The temperature sensors (TS) and the humidity sensors (FS) being IoT-enabled devices that are set up to send the temperature data (T) and/or the humidity data (F) to the server (S) via a suitable communication link transmitted, the server (S) being a cloud server. Arrangement according to any of the foregoing Claims 12 until 14 , wherein the current setting state (AZ) of the concrete element (BT) can be output in real time to a suitable output device (MG, LP, WS).

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