Development of a modular DIN SPEC

Development of a modular DIN SPEC for digitization and standardization of the supply and value chain of building products

Vast quantities of analog delivery bills consume a lot of working time on construction sites due to repetitive documentation activities. The supply chains in construction projects are very complex and fragmented due to the large number of interfaces, the data flow and the amount of data. Due to this high fragmentation, there is currently no digital and generally formulated description of the supply chain for construction products.

The sub-project "Digital Supply Chain for Construction Products" of the joint research project "Smart Design and Construction" (SDaC) pursues the goal of not only digitizing but also unifying and standardizing the heterogeneous supply chains of construction products through the use of an AI-driven platform [1].

It has become apparent that suppliers and construction companies use many heterogeneous data processing systems. One goal of the subproject is to define the interfaces and feature lists as the basis for a generally formulated and accessible digital solution and to convert them into a standard (DIN SPEC). Therefore, DIN SPEC 91454 "Information exchange of the supply and value chain of building products" was initiated in August 2020 within the framework of SDaC [2]. The aim of the DIN SPEC is to leverage the potentials as well as to reduce waste of resources through digitalization, unification and standardization of the heterogeneous supply chain [3]. DIN SPEC 91454 pursues the following three sub-goals:

  • General opportunities for digitizing building product supply chains are described.
  • The interfaces are defined and feature lists are created. The feature lists are to serve as the basis for a generally formulated digital solution or as an AI-usable standard.
  • The requirements for the interfaces are described.

The scope of DIN SPEC in the delivery process is shown in the gray shaded area in Figure 1 [3]. The creation of a common dictionary is indispensable for standardization. In this dictionary, the terms are defined for all actors. In addition, a translation table is created for the exchange of information. This is used to define which information is created by which actor and sent to whom. The goal is to limit the currently prevailing diversity in the naming of attributes to a defined vocabulary.

Figure 1: Overview of relevant roles and their processes [4].

DIN SPEC 91454 was initiated on January 29, 2021. Since then, several meetings have taken place [5]. At one of the first meetings, it was decided to divide DIN SPEC 91454 into three parts (Figure 2):
• DIN SPEC 91454-1 Information exchange of the supply and value chain of building products - Part 1: General process description
• DIN SPEC 91454-2 Information exchange of the supply and value chain of building products - Part 2: Concrete
• DIN SPEC 91454-3 Information exchange of the supply and value chain of construction products - Part 3: Asphalt

Figure 2: Structure of the DIN SPEC 

Part 1 was already adopted at a meeting in October 2021. This basically describes how roles, tasks and processes can be established, assigned and defined in the value chain. This creates the basis for defining the necessary interface information that is exchanged between the parties involved. Part 2 focuses on concrete as a construction product. Following on from this, Part 3 was initiated, which relates to asphalt as a construction product. It is currently planned to adopt Part 2 and Part 3 together in March 2022. The final publication of the three parts is planned directly afterwards.
The high level of interest from the construction industry in this topic confirms the relevance of standardizing and digitizing the exchange of information on construction products. Already during the development phase of the first three parts, representatives from different areas of the construction industry have shown interest in the addition of further construction products. Therefore, arrangements have already been made to include further construction products (e.g. reinforcing steel, precast concrete parts) as new parts of DIN SPEC 91454.

[1] K. Vasilic, „Digitale Lieferkette für Bauprodukte: Das Vorhaben SDaC,“ DBV-Rundschreiben, vol. 267, pp. 10-11, März 2021.
[2] „Geschäftsplan DIN SPEC 91454: Informationsaustausch der Liefer- und Wertschöpfungskette von Bauprodukten.“ https://www.din.de/de/forschung-und-innovation/din-spec/alle-geschaeftsplaene/wdc-beuth:din21:333243274 (accessed 21. Mai, 2021).
[3] K. Vasilic, S. Bilgin, and Ö. Tercan, „Digitale Lieferkette für Bauprodukte: aktuelle Aktivitäten,“ DBV-Rundschreiben, vol. 268, pp. 5-7, Juni 2021.
[4] Wolber, J., Cisterna, D., Tercan, Ö., Meyer, L., Haghsheno, S. & Sievering, C. (2021, 16. September). Concept of a continuous information chain using artificial intelligence methods using the example of the concrete supply chain (S.83–194). Weimar. 6. Internationaler BBB-Kongress. https://publikationen.bibliothek.kit.edu/1000138887
[5] Ö. Tercan, K. Vasilic, and S. Bilgin, „Digitale Lieferkette für Bauprodukte – aktuelle Aktivitäten “ DBV-Rundschreiben, vol. 270, pp. 5-7, Dezember 2021.

 

Herausforderungen und Potentiale von KI für die Bauwirtschaft – Ergebnisse eines SDaC Roundtables

Challenges and potentials

... of Artificial Intelligence in the Construction Industry - Results of the Roundtable on 19.06.2020

Am 19.06.2020 fand der erste digitale Roundtable von SDaC unter dem Titel „Künstliche Intelligenz für die Bauwirtschaft – Potentiale und Herausforderungen“ im Rahmen des Digitaltags 2020 der EU (www.digitaltag.eu) statt. Die Veranstaltung wurde durch das CyberForum e.V. organisiert, von Dominik Steuer (Prokurist von SteuerTiefbau GmbH) und Svenja Oprach (Projektleiterin von SDaC) moderiert

A total of 24 people from the construction industry (75% of participants) and other ecosystems (25% of participants) took part. 

In short surveys a common picture of the challenges and potentials of AI for the construction industry was compiled. The results are presented below (multiple selection was possible):

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As the three biggest challenges, the participants named unclear interfaces (76%), insufficient IT knowledge among technical personnel (67%) and the quality of the digitalized data (62%). For successful digitization, it is therefore necessary to prepare data, transfer information across system boundaries without loss, and provide intuitive applications for everyone. 

This confirms the concept of SDaC: Heterogeneous data is prepared and linked via interfaces on the SDaC platform. On this basis, human-centered, intuitive applications can be designed. 

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Damit können laut den Teilnehmern, vorallem repetitive Prozesse unterstützt werden (95%). Als Beispiel kann hier der Anwendungsfall „Objekterkennung in der Bauwerksplanung“ genannt werden: Sucht ein Planer oder Bauleiter in Plänen einzelne Elemente des gleichen Typs, kann eine trainierte KI eine erste Liste aller Elemente in einem Bruchteil der Zeit und in Echtzeit wiedergeben. Als Folge können kreative Tätigkeiten erweitert (62%) und die Komplexität (67%) reduziert werden. Das Intensivieren von Kundenbeziehungen, wie zwischen einem Bauunternehmen und Bauherren, wurde primär nicht als Erwartung gesehen. Weiter wurden in einer offenen Diskussion folgende Erwartungen genannt: Die Reduktion von Fehlern und die Etablierung neuer Geschäftsmodelle.

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The parties considered the market dominance of large construction companies due to the availability of large amounts of data (70 %) to be a risk. In order to develop the construction industry as a whole in a sustainable manner within the framework of an AI strategy, a special focus must be placed on SMEs. In Germany 99% of the companies are SMEs. New research approaches, such as machine transfer learning, can provide a way to exchange metadata via a platform without releasing the raw data. 

Potential misinterpretations (60%) were seen as another major risk. Unfounded and incorrect decisions based on an AI application can result in high follow-up costs, conflicts and quality deficits.

In this case, is the construction company as user, the data supplier or the provider of the AI application guilty? By means of explainable AI methods (white box) the SDaC user should be involved in the decision process, because he is the only one who can make the final decision and is therefore responsible for it. 

Als weitere Risiken können der „War of Data“ (Wer hat die besseren Daten?) und dem notwendigen Knowhow-Aufbau in der Bauwirtschaft genannt werden.

Due to the positive feedback, further digital roundtables are being planned. 

Take part in our next Roundtable on September 18th from 10:30-12:00 o'clock The topic will be the successful collaboration of humans and machines. You can register under the following link: https://register.gotowebinar.com/register/2076799752368934671

AI for a digital construction supply chain

AI for a digital construction supply chain

AI support for a digital supply chain of building products

The supply chains for construction projects are very complex due to the large number of interfaces, data flow and data volume. Suppliers and construction companies use many heterogeneous data processing systems; a generally formulated and accessible digital solution does not currently exist. With SDaC we digitize the heterogeneous supply chains of construction products by using our AI-driven platform, unifying and standardizing heterogeneous data formats. In this digital supply chain, information is always available and therefore easy to control. Paper documents can be sustainably reduced and manual documentation and search efforts can be reduced.

The reduction of the complexity of the information flow, minimizes repetitive tasks and creates free space for value-adding activities!

Below we give a brief insight into the approach adopted. If you want to know more about our applications and about AI in construction, we recommend our Newsletter.

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A look inside a container on a construction site quickly shows that a lot of paper is used there. Printed forms are still the safest way to transport information within a construction site. The exchange of building products in the incoming goods inspection is therefore almost exclusively carried out via printed delivery notes. On a large construction site, a large number of delivery notes can accumulate very quickly. Moreover, these are often crumpled, dirty and completed with handwritten notes. Currently, consistent digitalisation of the supply chain is difficult in many places due to the fragmentation of manufacturers and the lack of standards.

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In order not to exclude small construction product manufacturers, SDaC has decided to use the following AI approach: By means of a combined OCR (Optical Character Recognition) and Machine Learning (ML) algorithm, delivery notes can be retroactively digitized again. The algorithm recognizes writing and automatically arranges the contents in a defined target structure. The result is a data set that can be read out optimally, for instance, for invoice verification or documentation processes.

In a first pilot project, concrete delivery notes were processed using the OCR algorithm. The figure shows that a lot of content is already recognized. In a second step, these contents are transferred to a database via a structured dataset. This data can then be used, for example, for the ÜK2/ÜK3 (according to the DIN standard) concrete monitoring.

AI in construction - Together we transform the construction industry! Our way to the digital construction site

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AI in construction - three of our AI use cases

AI in construction - three of our AI use cases

AI applications for the user - knowing and understanding the user!

One of our first steps towards developing human-centric applications has been to create personas for each use case. A persona is a multidimensional description of a fictitious and typical individual belonging to a group of people with common interests. Personas help you understand the needs and pains of your users and by doing so, to create your application in the way the user will actually use it.

The user decides what a product or service should do and how it should behave!

In the following three videos we present three of our use cases from the perspective of a user. If you want to learn more about our use cases and about AI in construction, we recommend our newsletter.

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The source data of construction projects are often only available in paper plans or outdated CAD models. The necessary structures are missing to use this data as a basis for BIM. In SDaC, we develop AI models to process this input data and recognize and label objects. In the beginning, we are specifically focused on the recognition of electronic symbols in construction plans. To do so we train Convolutional Neural Networks, which recognize and label these symbols.

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In addition to our use case "object recognition in construction plans", we also want to identify patterns in digital models. This will help planners to find, optimize and categorize identical components and modules. This process reduces the complexity of plans and constructions.

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Based on rules and user specifications, we want to generate room layouts automatically in the future. This AI-supported plan generator quickly creates a construction plan that serves as a basis for the user. The conformance to standards and rules can also be checked within the generation.

AI in construction - Together we transform the construction industry! Our way to the digital construction site

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Creating a digital collaboration structure

Creating a digital collaboration structure

Not just because of COVID-19, we have decided to fulfill our project in a digital way!

Nowadays, many companies are confronted with digital collaboration tools. By changing direct communication to digital communication, they experience a completely new way of working.

In this article, we would like to share our experience we made with you and give you a short insight into the way we communicate


The basic software we use is Microsoft Teams. In MS Teams, we communicate per Chat, store our data, keep track of our daily tasks or just use it to start a conference call.

Because of the size of the project, we decided to work in groups. Each group has a different focus they work on. For example, „Team Plattform“ is taking care of all the topics that are connected to the platform architecture: data processing, meta data structure, web services etc.

Even though there are different teams, it is extremely important that they work closely together . Each teams needs to know what the other teams are doing. One key indicator to create such a transparent and open working environment is MS Teams. As you can see in the screenshot below, the team structure is built up in MS Teams.

If that short introduction caused great interest, don't hesitate to get in contact with us. We are very happy to share our experience with you.

So far, we are more than happy with our solution and have been able to proceed in the way we planned without bigger troubles

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To keep such a big group of partners connected is a challenge we are more than happy to accept!

Together we will shape the transformation of the industry!

#ReducingComplexity #AI #ArtificialIntelligence #Platform #Digital #Construction #KIT #Airteam #Cyberforum #DBV #DigitalesBauen #DIN #FARO #Fraunhofer #Goldbeck #GÜB #IGP #Metis #Xitaso

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The way to human centric applications

Our start to human centric applications

What are the needs of our future users?

Bei vielen Software Applikationen wird ein intensives Training vom Anwender verlangt, um ein ausreichendes Verständnis von der Software und ihren Möglichkeiten zu erhalten. Die Software und nicht das menschliche Wesen an sich ist der Fokus der Applikation.

In our project, we use Design Thinking methods to set the foundations for goal-oriented and human-centric applications.

On 30.04, we had our first joint productive kick-off workshop with the consortium of SDaC. The workshop was completely digital. About MS Teams and Zoom there were many single slots with presentations, exercises and discussions.

The morning dealt thematically with expectations of the funding agency's project, the vision and mission of SDaC as well as setting a uniform platform understanding.

SDaC-Team-Icon

Am Nachmittag vertieften wir uns in dem Themenbereich „Design Thinking“. In kurzen Sitzungen wurden Personas für die einzelnen Anwendungsfälle skizziert, die wir zuvor definiert hatten. Eine Persona repräsentiert einen Teilnehmer in der Wertschöpfungskette des Bauwesens und damit einen typischen Anwender von SDaC. Indem wir ihre Interessen, Eigenschaften und Bedürfnisse identifizieren, können wir unsere Anwendungen gezielt und menschenzentriert entwickeln. Die Personas sind nun der Ausgangspunkt, um in den kommenden Wochen intensive Interviews und Beobachtungen mit potenziellen Anwendern durchzuführen.

The multitude of individual users with their different needs and interests are brought together on SDaC. The results are human-centric, intelligent applications.

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The first week of three exciting years just started!

Together we will shape the transformation of the industry!

#ReducingComplexity #AI #ArtificialIntelligence #Platform #Digital #Construction #KIT #Airteam #Cyberforum #DBV #DigitalesBauen #DIN #FARO #Fraunhofer #Goldbeck #GÜB #IGP #Metis #Xitaso

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3, 2, 1… und Start

3, 2, 1 … und Start

Yesterday on April 01, 2020 our research project has officially started!

Yesterday was finally the big day: Our official project start! In the next three years we will work on the development of an AI platform for the ecosystem construction industry and implement eight assistance systems. These assistance systems range from building design, construction planning, supply chain management and construction realization.

Nicht nur ausschließlich aufgrund der aktuellen Situation nutzen wir digitale Medien zur Kooperation zwischen den Konsortialpartnern. Vielmehr aufgrund der geographischen
Verteilung über Deutschland (Karlsruhe, Stuttgart, Bielefeld, Dortmund, Berlin und Augsburg), sind wir auf digitale Meetings, eine Dokumentenmanagementplattform und eine Kommunikationsplattform angewiesen.

Today more than 20 people attended a first MS Teams appointment to officially start the project. We are all very motivated!

In the next few weeks we will sort and structure the work packages for this year. One of the first steps will be a detailed analysis of the user requirements. Thus, we want to achieve the challenging goal of first prototypes until end of this year.  


For more frequent updates follow us on our social media accounts.   

The first week of three exciting years just started!

Together we will shape the transformation of the industry!

#ReducingComplexity #AI #ArtificialIntelligence #Platform #Digital #Construction #KIT #Airteam #Cyberforum #DBV #DigitalesBauen #DIN #FARO #Fraunhofer #Goldbeck #GÜB #IGP #Metis #Xitaso

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