What is Construction 4.0?.|

Construction 4.0 is the new term for the evolution and digitalization of processes in the building and construction sector.

Construction 4.0 is a new trend that has arrived hand in hand with different types of technologies, with solutions focused on innovating and managing building processes intelligently.

In addition to promoting evolution in design.

Action plan in accordance with the objectives set for the coming years:

Collaborative work between all stakeholders

Quality control of processes

Automation and robotics

Empowering line workers

Improvement of safety management at work


Sustainability measures implementation

Main challenges of the sector.|

.| Improving the digital skills of on-site personnel.

.| Automation of administrative processes.

.| Automated quality inspection.

.| Optimization of energy consumption and waste generation.

.| Unique data management among all the agents involved.

.| Intelligent operation and maintenance of buildings and infrastructures.

.| Control and improvement of safety conditions on site.

.| Control of compliance with technical and sustainability criteria.

.| Simulation and modeling throughout the life cycle.

.| Monitoring and control of construction machinery maintenance.

.| Standardization of data and collaborative work in all phases.

.| Optimization of planning and inventories.

How are Industry 4.0 technologies transforming the construction sector?.|

Business Intelligence
& Data Analytics



process robotics



Data-driven strategies for companies in the construction sector.

.| Discover the knowledge hidden in the data, from any source.

.| To do it in a collaborative way among all participating agents.

.| Enable all levels of the organization to make decisions efficiently.

.| Employ AI capabilities to access hundreds of data visualizations in an intuitive way.

.| Reduce reporting times and complex solutions.

Power BI

Logistics Industry: Inventory Management in Construction 4.0

.| Total inventory values

.| Stocked quantities per category

.| Stock replenishment costs

.| Inventory distribution in the various categories

Power BI

Logistics Sector: Project Management

.| Project portfolio.

.| Gantt diagrams per project.

.| Cost analysis.

.| Risk and resource management.

.| Personnel assignments.

.| Agregate economic and demand forecasting.

Power BI

Logistics sector: Analysis of the supply process

.| The supply process is key to project management in the construction 4.0 sector.

.| This process can be fully analyzed through this set of dashboards, which provide a complete breakdown of tasks, follow-up of planning, delays, etc.

Benefits of implementing Mixed Reality with HoloLens.|

Providing customer training for adoption

Develop customized applications and solutions for the generation of all kinds of experiences.

Facilitate customer use of 3D models in the creation of virtual or mixed experiences.

Implementation of extended realities in combination with other technologies (e.g. BIM).

Bravent combines BIM methodology with extended realities in construction 4.0 .|

The BIM methodology responds to the industry’s need for a means of sharing information and updates across the entire construction 4.0 value chain.

.| Applications for taking measurements directly on the construction site.

.| It is also possible to visualize the next steps in a project plan.

.| In the same way, it is possible to present the auxiliary equipment and machinery that, in subsequent phases, must be on the construction site in their actual location.

What are the advantages of BIM methodology in Construction 4.0?

Fully embedded metadata, related to time and costs, so that information can be managed throughout the life cycle of a project in an intelligent way.
Any change applied to the design implies the automatic update of measurements for the purpose of execution of the work.
They allow the definition of roles for each user, who can access and modify certain parts of the project according to their functions within the project.
Permiten la definición de roles para cada usuario, que puede acceder y modificar determinadas partes del proyecto según sus funciones dentro del proyecto.

Robotic Process Automation .|

.| RPAs can automate repetitive and time-consuming processes.

.| The complexity of the process can be increased by being able to connect to AI services.

Robotic Process Automation .|

.| A multitude of predefined actions.

.| Recording of desktop or web actions.

.| Exception control to handle possible errors.

.| Desktop and cloud workflows.

.| Manual or automatic activation.

.| Instant or deferred execution.

Robotic Process Automation .|

.| Los RPAs permiten automatizar los procesos repetitivos que consumen mucho tiempo.

.| La complejidad del proceso puede ser elevada al poder conectarse a servicios de IA.

IoT and Digital Twins in Construction 4.0

Sensorization and data processing .|

.| Building sensorization produces large amounts of data.

.| Sent via the internet, they allow monitoring of the performance and impact on the sustainability of the building and its installations.

.| Centralized processing: ingestion, storage, and calculations performed on the information received through the internet.

.| This processing makes it possible to generate predictive models through artificial intelligence.

.| It is possible to analyze and optimize consumption, quality of life, and environmental impact.

IoT and Digital Twins IoT for Facility Management..|

.| Operation and maintenance parameters of machinery and facilities.

.| Air quality.

.| Lighting quality.

.| Presence control.

.| Water consumption.

.| Energy consumption.

.| Waste generation.

.| Emissions and immissions.

Deploying Digital Twins with Bravent.|

Development of the digitalization process

Connection to IoT systems

Training of AI and ML models

Deployment and testing

Production start-up

Continual improvement

Analysis of processes and digitizable objects

Assessment of criticality degree

Definition of progressive digitalization plan

Cost valuation

Detailed definition of the process

Evaluation of expected return

Predictive maintenance of site equipment based on historical data.|

The combination of historical series of equipment operation and performance data allows the identification of failure or breakdown patterns.
In this way, it is possible to create dashboards that show, in a visual way, possible future failures, allowing to establish anticipated maintenance actions and to optimize the purchase of spare parts.
This reduces downtime of critical equipment and optimizes spare parts inventory management.
It is also possible to set up alerts to ensure that the appropriate preventive measures are taken.
Studies and analysis to improve energy costs in a 4.0 building.|

Project cost analysis and cost analysis of external suppliers can be used to optimize material consumption and sources of supply.

By analyzing the amount of waste of each material, it is possible to adjust the number of certain materials for future similar constructions.

By studying the prices of external suppliers, the best offers can be found automatically.

Computer vision.|​

Supply Chain Control in Construction 4.0

.| Automatic counting of items upon receipt at the construction site.

.| Application to different geometries, product types, etc.

.| Real-time counting.

.| Possibility of automatic comparison and validation with incoming delivery notes.

.| Possibility of automatic registration in the management system.


.| Accident detection.

.| Automatic control of PPE use.

.| Verification of the placement of safety elements on site:

– Nets ​        – Handrails ​        – Scaffolding​​

Predictive maintenance of production equipment with AI .|

Continuous data collection in real time

Build predictive models / learning algorithms

Real-time data analysis to detect failures and root cause patterns

Sending alerts / notifications for actions

Improving the equipment maintenance plan

Inventory and spare part cost optimization

Automated quality inspection.|

When automated, the quality inspection process becomes more accurate and repeatable. This allows for improving the finishes of the work and compliance with technical requirements with lower consumption of resources.

With Machine Vision, the quality of finishes and compliance with technical requirements is inferred on-site in real-time.

Analysis of detectable anomalies in your production system.
Definition of the appropriate detection models.
Deployment of AI architecture and models.
Connection with pre-existing detection systems.
Model training.

Development of the automatic process.|

.| Control of the use of PPE in industrial areas or construction sites.

.| Connection with AI systems.

.| Training of AI models.

.| Deployment and testing.

.| Production start-up.

.| Continuous improvement.

Some key processes to optimize.|

Identification and recognition of text in administrative documents.
Automation of data exchange processes in own systems and external platforms without direct connection.
Automatic identification and archiving of tagged documents from the mail.
Data extraction from documents and insertion in own ERPs/CRMs.
Regulatory compliance.
Are you planning a construction 4.0 project?