公开(公告)号：US20240210929A1

公开(公告)日：2024-06-27

申请号：US18393447

申请日：2023-12-21

Applicant: Krones AG

Inventor： Benedikt BOETTCHER ,  Konrad SENN ,  Andreas MEYER ,  Markus STUBENHOFER ,  Robert AUST

IPC: G05B19/418

CPC classification number: G05B19/41875 ,  G05B2219/32368

Abstract: The disclosure relates to a method for quality assurance of a container processing plant, wherein the container processing plant comprises at least two container processing components, wherein a malfunction in at least one of the at least two container processing components is detected by means of a quality assurance device on the basis of a periodicity with which a deviation of a parameter from a target value in a first container processing component is determined.

公开(公告)号：US20250026064A1

公开(公告)日：2025-01-23

申请号：US18777832

申请日：2024-07-19

Applicant: Krones AG

Inventor： Benedikt BOETTCHER

IPC: B29C49/42 ,  B29C49/64 ,  B29C49/78 ,  B29K67/00 ,  B29L31/00

Abstract: The invention relates to a control circuit (1) for an apparatus comprising a heating device for preforms, a blow molding machine for producing containers from preheated preforms, a first measuring device (15) for determining an actual temperature of the heated preforms and a second measuring device (9) for determining an actual light transmission of the containers, wherein the control circuit for controlling the light transmission of containers comprises: A higher-level control circuit having a first comparator (4) for determining a first control difference (5) from a target light transmission (2) and an actual light transmission (3) and having a first controller (6) which, based on the first control difference as a first input variable for a system (16), outputs a first adaptation (7) of a process parameter of a station of the blow molding machine as a first output variable and controls the process parameter of the station of the blow molding machine in accordance with the first adaptation. The first controller also outputs a target temperature (8) of the heated preform as a second output variable, based on the first control difference as an input variable. A subordinate control circuit having a second comparator (11) for determining a second control difference (12) from the target temperature and the actual temperature and having a second controller (13) which, based on the second control difference as a second input variable for a system (16), outputs a second adaptation (14) of a heating behavior of the heating device as a third output variable and controls the heating behavior of the furnace in accordance with the second adaptation (14).

公开(公告)号：US20250153418A1

公开(公告)日：2025-05-15

申请号：US18949384

申请日：2024-11-15

Applicant: Krones AG

Inventor： Benedikt BOETTCHER ,  Markus ZOELFL ,  Andreas STEINER ,  Robert AUST

IPC: B29C49/78 ,  B29C49/06 ,  B29L31/00

Abstract: The disclosure relates to a method for controlling a container treatment system, for example a blow molding machine, for producing containers from preforms, wherein the method comprises: providing a main agent comprising a plurality of sub-agents, each sub-agent being assigned to a container type or a preform, a target parameter set for controlling the container treatment system and a group of target values for a controlled variable being provided for each sub-agent; carrying out a determination of a characteristic of a preform; evaluating a result of the determination and automatically selecting a corresponding sub-agent from the plurality of sub-agents based on the evaluation; and using the corresponding sub-agent for controlling the container treatment system. The disclosure further relates to a device comprising a container treatment system and a control device for carrying out the method.

公开(公告)号：US20240085871A1

公开(公告)日：2024-03-14

申请号：US18243964

申请日：2023-09-08

Applicant: KRONES AG

Inventor： Andreas STEINER ,  Robert SZWARC ,  Benedikt BOETTCHER ,  Konrad SENN ,  Philipp OLENBERG ,  Markus ZOELFL

IPC: G05B15/02

CPC classification number: G05B15/02

Abstract: Disclosed is a method for treating containers, wherein the containers are transported along a predetermined transport path by a transport device and are treated in a predetermined manner by a first treatment device, wherein predetermined working parameters are used for the treatment of the container, wherein individual containers being inspected after their treatment and at least one variable characteristic of a quality of this container being determined, wherein that at least one identification information is generated by an inspected container and/or an inspection operation can be uniquely identified.

公开(公告)号：US20230376022A1

公开(公告)日：2023-11-23

申请号：US18248366

申请日：2021-08-13

Applicant: Krones AG

Inventor： Benedikt BOETTCHER

IPC: G05B19/418 ,  B67C3/00 ,  B67C7/00 ,  B65B21/00

CPC classification number: G05B19/41885 ,  B67C3/007 ,  B67C7/004 ,  B65B21/00 ,  G05B2219/45054 ,  B67C2003/227

Abstract: A method for operating a machine in a processing plant for containers, in particular beverage containers, wherein the containers are processed and/or transported by the machine, wherein at least one input signal and at least one output signal of the machine are acquired during the processing and/or the transport, wherein a self-identification model of the machine, which model reproduces at least one current operating point of the machine, is determined based on the at least one input signal and the at least one output signal, wherein at least one machine parameter of the machine and/or of a downstream machine is automatically configured or optimised using the self-identification model, and/or wherein a diagnosis of the machine is automatically carried out using the self-identification model.

公开(公告)号：US20220269259A1

公开(公告)日：2022-08-25

申请号：US17597666

申请日：2020-06-09

Applicant: KRONES AG

Inventor： Thomas ALBRECHT ,  Lukas SCHINDLER ,  Benedikt BOETTCHER

IPC: G05B23/02 ,  G06N20/00

Abstract: The invention relates to a method and to a system for automatically detecting a malfunction of a device in the food industry or the beverage industry, in particular for predictive maintenance. By means of a digital twin of the device, simulation data are produced for a plurality of malfunctions. Subsequently, a machine learning algorithm is trained on the basis of the simulation data and the plurality of malfunctions. The trained machine learning algorithm is then used to detect a malfunction of the device on the basis of operating data of the device. The invention further relates to a method and to a system for determining an optimized production plan for the production of one or more products by means of one or more production lines in the food industry or the beverage industry.