Calculation items and composition of works
22 February 2024
3D integration: 5D cost and 4D time
22 February 2024

Creating a project estimate

Once the costing of the individual work-tasks is ready, the next step is to multiply the cost of each work by its volume attribute in the new project.

In the process of calculating the total cost of a construction project, the key step is to summarize the costs of all individual costing work-items multiplied by the volume of this work in the project.

To create the total cost of a project, we start by calculating the cost of building one square meter of wall and multiplying the cost of its calculation (e.g. work - "1m2 of standard wall element installation") by the total number of square meters of walls in the project (e.g. the "Volume" or "Quantity" attribute of the Type "Wall Elements" entity from the CAD (BIM) project). Similarly, we apply this method to all categories of project elements listed in the estimate, multiplying the cost of each element by its volume in this project, which allows us to form a complete estimate of the entire project.

In the context of a restaurant, the final cost of the event is calculated similarly and equals the final cost of the entire dinner, where the cost of each course multiplied by the number of guests adds up to the total cost of the check.

Just as a restaurant owner multiplies the cost of each meal by the number of servings to determine the total cost of the event, a construction manager adds up the cost of all project components to arrive at a complete construction estimate.

Thus, for each work in the project, its final cost is determined, which, multiplied by the attribute volume of the entity corresponding to this work - gives the cost of the work groups, from which the final cost of the entire project is obtained. The total project cost presents a financial picture of the project, allowing developers and investors to understand the overall budget and the financial resources required to realize the project.

For millennia, the traditional method of calculating volumes has been manual methods of measuring volumetric and quantitative attributes using paper drawings and calculators. With the advent of the digital age, companies have discovered that this same information can now be automatically extracted from geometric data from CAD (BIM) models, revolutionising the way millennia-old ways of working with quantitative data, calculations and computations.

And if the processes of compiling resource bases, calculations and estimates are already perfected and semi-automated or fully automated, then obtaining quality information on the volume and quantity of elements for the last stage of the final estimate - remains a bottleneck in the processes of all calculations of cost and time characteristics of the project.

Modern approaches to estimating and estimating involve automatically deriving volumetric and quantitative attributes from CAD (BIM) models on which additional layers of information are layered. In addition to 3D geometric attributes, entities are supplemented with 4D time attributes, and 5D attributes, including aspects related to cost.

Leave a Reply

Change language

Post's Highlights

    Stay updated: news and insights



    We’re Here to Help

    Fresh solutions are released through our social channels

    UNLOCK THE POWER OF DATA
     IN CONSTRUCTION

    Dive into the world of data-driven construction with this accessible guide, perfect for professionals and novices alike.
    From the basics of data management to cutting-edge trends in digital transformation, this book
    will be your comprehensive guide to using data in the construction industry.

    Related posts 

    Focus Areas

    navigate
    • ALL THE CHAPTERS IN THIS PART
    • A PRACTICAL GUIDE TO IMPLEMENTING A DATA-DRIVEN APPROACH (8)
    • CLASSIFICATION AND INTEGRATION: A COMMON LANGUAGE FOR CONSTRUCTION DATA (8)
    • DATA FLOW WITHOUT MANUAL EFFORT: WHY ETL (8)
    • DATA INFRASTRUCTURE: FROM STORAGE FORMATS TO DIGITAL REPOSITORIES (8)
    • DATA UNIFICATION AND STRUCTURING (7)
    • SYSTEMATIZATION OF REQUIREMENTS AND VALIDATION OF INFORMATION (7)
    • COST CALCULATIONS AND ESTIMATES FOR CONSTRUCTION PROJECTS (6)
    • EMERGENCE OF BIM-CONCEPTS IN THE CONSTRUCTION INDUSTRY (6)
    • MACHINE LEARNING AND PREDICTIONS (6)
    • BIG DATA AND ITS ANALYSIS (5)
    • DATA ANALYTICS AND DATA-DRIVEN DECISION-MAKING (5)
    • DATA CONVERSION INTO A STRUCTURED FORM (5)
    • DESIGN PARAMETERIZATION AND USE OF LLM FOR CAD OPERATION (5)
    • GEOMETRY IN CONSTRUCTION: FROM LINES TO CUBIC METERS (5)
    • LLM AND THEIR ROLE IN DATA PROCESSING AND BUSINESS PROCESSES (5)
    • ORCHESTRATION OF ETL AND WORKFLOWS: PRACTICAL SOLUTIONS (5)
    • SURVIVAL STRATEGIES: BUILDING COMPETITIVE ADVANTAGE (5)
    • 4D-6D and Calculation of Carbon Dioxide Emissions (4)
    • CONSTRUCTION ERP AND PMIS SYSTEMS (4)
    • COST AND SCHEDULE FORECASTING USING MACHINE LEARNING (4)
    • DATA WAREHOUSE MANAGEMENT AND CHAOS PREVENTION (4)
    • EVOLUTION OF DATA USE IN THE CONSTRUCTION INDUSTRY (4)
    • IDE WITH LLM SUPPORT AND FUTURE PROGRAMMING CHANGES (4)
    • QUANTITY TAKE-OFF AND AUTOMATIC CREATION OF ESTIMATES AND SCHEDULES (4)
    • THE DIGITAL REVOLUTION AND THE EXPLOSION OF DATA (4)
    • Uncategorized (4)
    • CLOSED PROJECT FORMATS AND INTEROPERABILITY ISSUES (3)
    • MANAGEMENT SYSTEMS IN CONSTRUCTION (3)
    • AUTOMATIC ETL CONVEYOR (PIPELINE) (2)

    Search

    Search

    057 Speed of decision making depends on data quality

    Today’s design data architecture is undergoing fundamental changes. The industry is moving away from bulky, isolated models and closed formats towards more flexible, machine-readable structures focused on analytics, integration and process automation. However, the transition...

    060 A common language of construction the role of classifiers in digital transformation

    In the context of digitalization and automation of inspection and processing processes, a special role is played by classification systems elements – a kind of “digital dictionaries” that ensure uniformity in the description and parameterization...

    061 Masterformat, OmniClass, Uniclass and CoClass the evolution of classification systems

    Historically, construction element and work classifiers have evolved in three generations, each reflecting the level of available technology and the current needs of the industry in a particular time period (Fig. 4.2-8): First generation (early...

    Don't miss the new solutions

     

     

    Linux

    macOS

    Looking for the Linux or MAC version? Send us a quick message using the button below, and we’ll guide you through the process!


    📥 Download OnePager

    Welcome to DataDrivenConstruction—where data meets innovation in the construction industry. Our One-Pager offers a concise overview of how our data-driven solutions can transform your projects, enhance efficiency, and drive sustainable growth. 

    🚀 Welcome to the future of data in construction!

    You're taking your first step into the world of open data, working with normalized, structured data—the foundation of data analytics and modern automation tools.

    By downloading, you agree to the DataDrivenConstruction terms of use 

    Stay ahead with the latest updates on converters, tools, AI, LLM
    and data analytics in construction — Subscribe now!

    🚀 Welcome to the future of data in construction!

    You're taking your first step into the world of open data, working with normalized, structured data—the foundation of data analytics and modern automation tools.

    By downloading, you agree to the DataDrivenConstruction terms of use 

    Stay ahead with the latest updates on converters, tools, AI, LLM
    and data analytics in construction — Subscribe now!

    🚀 Welcome to the future of data in construction!

    You're taking your first step into the world of open data, working with normalized, structured data—the foundation of data analytics and modern automation tools.

    By downloading, you agree to the DataDrivenConstruction terms of use 

    Stay ahead with the latest updates on converters, tools, AI, LLM
    and data analytics in construction — Subscribe now!

    🚀 Welcome to the future of data in construction!

    You're taking your first step into the world of open data, working with normalized, structured data—the foundation of data analytics and modern automation tools.

    By downloading, you agree to the DataDrivenConstruction terms of use 

    Stay ahead with the latest updates on converters, tools, AI, LLM
    and data analytics in construction — Subscribe now!

    🚀 Welcome to the future of data in construction!

    You're taking your first step into the world of open data, working with normalized, structured data—the foundation of data analytics and modern automation tools.

    By downloading, you agree to the DDC terms of use 

    🚀 Welcome to the future of data in construction!

    You're taking your first step into the world of open data, working with normalized, structured data—the foundation of data analytics and modern automation tools.

    By downloading, you agree to the DataDrivenConstruction terms of use 

    Stay ahead with the latest updates on converters, tools, AI, LLM
    and data analytics in construction — Subscribe now!

    DataDrivenConstruction offers workshops tested and practiced on global leaders in the construction industry to help your team navigate and leverage the power of data and artificial intelligence in your company's decision making.

    Reserve your spot now to rethink your
    approach to decision making!

     

    🚀 Welcome to the future of data in construction!

    By downloading, you agree to the DataDrivenConstruction terms of use 

    Stay ahead with the latest updates on converters, tools, AI, LLM
    and data analytics in construction — Subscribe now!

    Have a question or need more information? Reach out to us directly!
    Schedule a time to discuss your needs with our team.
    Tailored sessions to help your team grow — let's plan together!
    Have you attended one of our workshops, read our book, or used our solutions? Share your thoughts with us!
    Name
    Data Maturity Diagnostics

    🧰 Data-Driven Readiness Check

    This short assessment will help you identify your company's data management pain points and offer solutions to improve project efficiency. It takes only 1–2 minutes to complete and you will receive personalized recommendations tailored to your needs.

    Clean & Organized Data

    Theoretical Chapters:

    Practical Chapters:

    What You'll Find on
    DDC Solutions:

    • CAD/BIM to spreadsheet/database converters (Revit, AutoCAD, IFC, Microstation)
    • Ready-to-deploy n8n workflows for construction processes
    • ETL pipelines for data synchronization between systems
    • Customizable Python scripts for repetitive tasks
    • Intelligent data validation and error detection
    • Real-time dashboard connectors
    • Automated reporting systems

    Connect Everything

    Theoretical Chapters:

    Practical Chapters:

    What You'll Find on
    DDC Solutions:

    • CAD/BIM to spreadsheet/database converters (Revit, AutoCAD, IFC, Microstation)
    • Ready-to-deploy n8n workflows for construction processes
    • ETL pipelines for data synchronization between systems
    • Customizable Python scripts for repetitive tasks
    • Intelligent data validation and error detection
    • Real-time dashboard connectors
    • Automated reporting systems

    Add AI & LLM Brain

    Theoretical Chapters:

    Practical Chapters:

    What You'll Find on
    DDC Solutions:

    • CAD/BIM to spreadsheet/database converters (Revit, AutoCAD, IFC, Microstation)
    • Ready-to-deploy n8n workflows for construction processes
    • ETL pipelines for data synchronization between systems
    • Customizable Python scripts for repetitive tasks
    • Intelligent data validation and error detection
    • Real-time dashboard connectors
    • Automated reporting systems
    Creating a project estimate
    This website uses cookies to improve your experience. By using this website you agree to our Data Protection Policy.
    Read more
    ×