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AI-based solutions & sensors to reduce carbon emissions from concrete
Cement

AI-based solutions & sensors to reduce carbon emissions from concrete

Converge, a leading concrete material and operations optimisation company, and Dewalt, a leader in total jobsite solutions, announced a strategic partnership to help decarbonise construction through Converge’s revolutionary AI-based platform, Concrete DNA, powered by data from Dewalt’s new wireless concrete sensor, the Dewalt Signal Sensor. Concrete is one of the most widely used materials in the world, with global production reaching over 10 billion tons per year. However, the manufacturing process for concrete is highly energy-intensive and generates up to 8 per cent of all man-made carbon emissions.

ConcreteDNA interprets real-time data from the DEWALT Signal Sensor allowing users to observe compressive strength gain of concrete, and to predict when it will reach critical strength through advanced AI and local weather data. This allows concrete professionals to begin work sooner as users can directly measure hardening rather than relying on estimation, and in addition, to tailor the exact amount of cement needed in the mixture which helps reduce unnecessary carbon emissions.

With deep insight into the strength of the material, lower embodied carbon concrete mixes can be produced without sacrificing performance or safety to meet jobsite deadlines.

Converge, a leading concrete material and operations optimisation company, and Dewalt, a leader in total jobsite solutions, announced a strategic partnership to help decarbonise construction through Converge’s revolutionary AI-based platform, Concrete DNA, powered by data from Dewalt’s new wireless concrete sensor, the Dewalt Signal Sensor. Concrete is one of the most widely used materials in the world, with global production reaching over 10 billion tons per year. However, the manufacturing process for concrete is highly energy-intensive and generates up to 8 per cent of all man-made carbon emissions. ConcreteDNA interprets real-time data from the DEWALT Signal Sensor allowing users to observe compressive strength gain of concrete, and to predict when it will reach critical strength through advanced AI and local weather data. This allows concrete professionals to begin work sooner as users can directly measure hardening rather than relying on estimation, and in addition, to tailor the exact amount of cement needed in the mixture which helps reduce unnecessary carbon emissions. With deep insight into the strength of the material, lower embodied carbon concrete mixes can be produced without sacrificing performance or safety to meet jobsite deadlines.

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