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AI sensors: The future of concreting

In the dynamic world of construction, continuous innovation is vital, not only to improve efficiency but also to ensure that structures stand strong and endure the test of time. Enter the realm of Artificial Intelligence (AI) which, when paired with advanced sensing technologies, promises to revolutionise the traditional methodologies of concreting.

These AI-based smart sensors are not merely about streamlining processes; they are about transforming the very foundation on which our urban landscapes are built.

Concreting, which forms the backbone of most structures, has been practised for centuries, evolving gradually in terms of materials and methods. Yet, the incorporation of AI-driven sensors introduces an unprecedented leap in its evolution.

From real-time monitoring of concrete mix consistency to predicting potential structural vulnerabilities, these sensors are bringing about an era where concreting is not just a process, but a symphony of precision, data, and intelligence.

As we delve into the intricacies of these innovations, we’ll discover why AI-based smart sensors are the indisputable future of concreting.

What do smart sensors measure?

Smart sensors, such as the one from Converge, use AI technology to keep track of the concrete curing process. The curing process needs to be monitored in order for concrete to reach its full potential strength.

By using the smart sensors, manual on-site checks are no longer necessary and if any issues arise the sensors will notice it early. This provides opportunities for project managers to act at an early stage and prevent further cracks or mishaps.

The sensors also use AI technology to create predictions of when the curing process will be done based on temperature. The sensor calculates the collected data into concrete strength data and creates a real-time overview of the concrete strength development.

By using these accurate predictions that will be sent to any device connected to a cloud service, concreting projects can optimise time management. It will also optimise man hours and visits to the site.

Technology for both in-situ and off-site concrete

Converge’s AI sensors offer solutions for both in-situ concrete and off-site concrete, which means it can be used both on concrete sites and in factories creating prefabricated concrete. Both solutions are based on the same AI technology but are adapted to fit the needs of different projects and locations.

The main purposes of the smart sensors

There are many benefits of using these smart sensors but the main purpose of investing in these types of technology is to facilitate and optimise the concreting process. By getting constant access to real time data from your concrete construction sites it is possible to save time, money and even create sustainable practices.

Saving time

Automated Monitoring

The traditional method of monitoring the curing process requires manual inspections at regular intervals. Smart sensors automate this process, constantly collecting data and giving immediate feedback. This eliminates the need for on-site checks, thus saving a significant amount of time.

Accurate Predictions

With the ability to predict when the curing process will be completed, project managers can better schedule subsequent construction activities. This ensures that no time is wasted waiting for the concrete to be ready or, conversely, acting too soon and compromising the structure.

Instant Alerts

In the event of any discrepancies or potential issues, the sensors can send immediate alerts. This allows for quicker reactions, reducing the time spent on fixing problems or making adjustments.

Saving money

Reduced Labour Costs

With automated monitoring offered by the technology, there’s a reduced need for manual labour to inspect and record data on-site, leading to lower labour costs.

Minimised Mistakes

Early detection of issues means they can be addressed before they escalate into bigger, costlier problems. This can help in avoiding expensive repairs or redoing parts of the construction.

Optimised Resource Allocation

Knowing the exact status of the curing process enables better resource allocation. Equipment, manpower, and other resources can be used more efficiently, cutting down on wastage and unnecessary expenses.

Saving the environment

Reduced Wastage

Efficient monitoring can lead to more precise use of materials. Overestimations can be avoided, leading to less waste. This not only saves money but also reduces the environmental footprint of the construction project.

Lower Emissions

Fewer site visits mean fewer vehicles on the road, leading to reduced carbon emissions. Additionally, by optimising construction processes, machinery can be used more efficiently, emitting fewer greenhouse gases.

Sustainable Construction

With precise data on hand, it’s easier to ensure that the construction process adheres to sustainable practices. For instance, curing concrete properly can extend its lifespan, reducing the need for frequent repairs or replacements, thereby conserving resources in the long run.