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.

Abstract: A method for minimizing a deviation of a physical parameter of a blow-molded container from a target value comprises determining a physical parameter of a container assigned to a machine parameter value of a blow molding machine and an environmental condition, based on the physical parameter and the target value, determining a change in the machine parameter, based on an iteration process, determining an optimal machine parameter value for achieving a minimum deviation from the target value of the physical parameter of a blow-molded container, the iteration process comprising a first iteration step for determining a deviation from the target value of the physical parameter of a blow-molded container based on a change in the machine parameter value, and a second iteration step for determining an adjusted change in the machine parameter value based on the deviation of the physical parameter of a blow-molded container from the target value.

Abstract: The disclosure relates to a method for determining an occupancy situation of containers in an installation, the method comprising: using at least one camera for capturing the occupancy situation of the containers in the installation and obtaining a captured occupancy situation, analyzing the captured occupancy situation and obtaining an analyzed occupancy situation, and controlling the installation based on the analyzed occupancy situation. Furthermore, the disclosure comprises a device comprising at least one camera and a control device with instructions that are stored thereon and that, when executed by a processor, cause the control device to execute the method.

Abstract: Provided is an apparatus for treating containers and in particular plastic containers having a container treatment unit, wherein the apparatus has a main transport device which is suitable and intended to transport the containers along a predetermined transport path, wherein the container treatment device has at least two treatment devices which are suitable and intended to treat the containers in a predetermined manner, having a feed and discharge unit which is suitable and intended to feed containers to be treated to the at least first treatment unit and to discharge containers already been treated from the first treatment device and having a media supply unit which is suitable and intended to feed media to the at least one first treatment unit.

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.

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.

Abstract: Provided is an apparatus for treating containers and in particular plastic containers having a container treatment unit, wherein the apparatus has a main transport device which is suitable and intended to transport the containers along a predetermined transport path, wherein the container treatment device has at least two treatment devices which are suitable and intended to treat the containers in a predetermined manner, having a feed and discharge unit which is suitable and intended to feed containers to be treated to the at least first treatment unit and to discharge containers already been treated from the first treatment device and having a media supply unit which is suitable and intended to feed media to the at least one first treatment unit.