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Haist et al., 2022 - Google Patents

Digitization of the concrete production chain using computer vision and artificial intelligence

Haist et al., 2022

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Document ID
9040389517289092641
Author
Haist M
Heipke C
Beyer D
Coenen M
Schack T
Vogel C
Ponick A
Langer A
Publication year
Publication venue
Proceedings of the 6th fib Congress

External Links

Snippet

The production of concrete currently goes along with pronounced CO2-emissions and an enormous consumption of (mineral) resources. In response to sustainability requirements, concretes thus are increasingly produced using recipes containing six to ten different raw …
Continue reading at www.ipi.uni-hannover.de (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/38—Investigating or analysing materials by specific methods not covered by the preceding groups concrete; ceramics; glass; bricks
    • G01N33/383—Concrete, cement
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N23/00—Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons
    • G01N23/02—Investigating or analysing materials by the use of wave or particle radiation not covered by G01N21/00 or G01N22/00, e.g. X-rays or neutrons by transmitting the radiation through the material

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