公开(公告)号：US20240239452A1

公开(公告)日：2024-07-18

申请号：US18413375

申请日：2024-01-16

Applicant: ABB Schweiz AG

Inventor： Rickard Lindkvist ,  Jonas Linder

IPC: B63B79/40 ,  B63B79/10

CPC classification number: B63B79/40 ,  B63B79/10 ,  B63B2213/02

Abstract: A method of identifying a vessel as well as to a vessel identifying device and a floating object and land installation including such a vessel identifying device. The vessel identifying device includes a processor operative to obtain a position of a vessel being sensed by a sensor, assign an identity to the vessel, which identity is assigned according to an identity assignment scheme of at least a part of a maritime tracking system, which maritime tracking system is AIS, and provide an identification of the vessel according to the maritime tracking system, the identification including the assigned identity and the position of the vessel, and order a transmitter to transmit the identification of the vessel.

公开(公告)号：US20240094715A1

公开(公告)日：2024-03-21

申请号：US18263371

申请日：2021-01-29

Applicant: ABB Schweiz AG

Inventor： Rickard Lindkvist ,  Jonas Linder ,  Kalpesh Bhalodi ,  Prerna Juhlin ,  Jan-Christoph Schlake ,  Dennis Janka ,  Andreas Potschka

IPC: G05B19/418

CPC classification number: G05B19/41865 ,  G05B2219/31376

Abstract: A method of material flow optimization in an industrial process by using an integrated optimizing system is described. The integrated optimizing system includes: a high-level optimizer module describing the material flow by coarse high-level process parameters and including an optimization program for the high-level process parameters, the optimization program being dependent on high-level model parameters and including an objective function subject to constraints; a low-level simulation module for simulating the material flow, the low-level simulation module including a low-level simulation function adapted for obtaining detailed low-level material flow data based on the high-level process parameters; and an aggregator module including an aggregator function adapted for calculating the high-level model parameters based on the low-level material flow data. The method includes approaching an optimum value of the objective function by iteratively modifying the high-level process parameters, wherein an iteration includes: carrying out, by the low-level simulation module, a low-level simulation thereby obtaining the detailed low-level material flow data; aggregating, by the aggregator module, the low-level material flow data thereby calculating, from the low-level material flow data, aggregated high-level model parameters; inputting the aggregated high-level model parameters into the optimization program.