COMPUTER-AIDED METHOD AND DEVICE FOR OPTIMIZED CONTROL OF THE DELIVERY RATE OF A CONCRETE PUMP OR THE LIKE

    公开(公告)号:US20220213888A1

    公开(公告)日:2022-07-07

    申请号:US17601324

    申请日:2020-04-03

    申请人: Peri AG

    摘要: The invention relates to a method and a device for controlling the delivery rate (PQ) of a concrete pump (1) for filling a formwork arrangement (2) with a pumpable filling compound (3) as a function of curing-relevant material and environmental parameters (RST), after which the installed filling compound (3) sets within the formwork arrangement (2), comprising the following steps: determining a permissible climbing speed (vsz) for filling the formwork arrangement (2) with the filling compound (3) on the basis of the material and ambient parameters (RST), measuring the static filling compound pressure (pF) acting on the formwork arrangement (2) during filling, calculating the permissible delivery rate (PQ) of the concrete pump (1) as a function of the determined permissible rate of ascent (vsz) and the measured static filling compound pressure (pF) at the formwork arrangement (2).

    AUTOMATIC PREDICTION OF THE USABILITY OF CONCRETE FOR AT LEAST ONE INTENDED USE AT A CONSTRUCTION SITE

    公开(公告)号:US20220215250A1

    公开(公告)日:2022-07-07

    申请号:US17601309

    申请日:2020-03-20

    申请人: Peri AG

    IPC分类号: G06N3/08 G06Q50/08

    摘要: Method (100) for training an artificial neural network, KNN (1), which predicts and/or classifies at least one quality measure (23a, 23b) for the usability of a batch of concrete (2) on a construction site.
    A method (200) for predicting and/or classifying the usability of a batch of concrete (2) on a construction site, comprising the steps of: a set of characteristics (21) characterising the material composition of the batch (2) is determined (210); at least one measure (22) of the mechanical consistency of the batch (2) is determined (220); the characteristics (21) and the measure (22) of mechanical consistency are fed (230) to a trained KNN (1) as inputs (11); at least one prediction and/or classification (23a*, 23b*) for a quality measure (23a, 23b) for the usability of the batch (2) for at least one intended use on the construction site is retrieved (240) as an output (13) from the KNN (1). A method (300) for tracking the use of a batch of concrete (2) with a blockchain (4) and a smart contract (5) operating thereon.