Method for processing machine data from a container treatment device, central monitoring station, and system for same

A central monitoring station processes machine data from container handling devices using customer and manufacturer-specific routines, addressing format diversity and cost issues, enabling efficient and secure data analysis.

WO2026120008A1PCT designated stage Publication Date: 2026-06-11KHS GMBH

Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
KHS GMBH
Filing Date
2025-12-03
Publication Date
2026-06-11

AI Technical Summary

Technical Problem

Existing container handling devices produce machine data in varying formats due to integration of equipment from different manufacturers, making comprehensive monitoring and analysis challenging, and adapting these formats is complex and costly.

Method used

A central monitoring station processes machine data from multiple devices using customer and manufacturer-specific routines, allowing data to be standardized and formatted as desired without altering the devices, and provides secure access to authorized users.

🎯Benefits of technology

Enables efficient, standardized data processing and analysis across diverse container handling systems, reducing costs and effort by allowing format adaptation remotely and ensuring data privacy and security.

✦ Generated by Eureka AI based on patent content.

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Patent Text Reader

Abstract

The invention relates to a method for processing machine data (30a, 30b) from a container treatment device (18a, 18b). The method has the steps of receiving, by means of a first input interface (26b) of a central monitoring station (12), first machine data (30a) from a first container treatment device (18a) via the Internet (24), the machine data comprising data preferably captured by at least one sensor of the first container treatment device (18a); generating first customer data (38a) by processing at least part of the received first machine data (30a) using at least one first customer processing routine of a processing unit (32) of the central monitoring station (12); and providing, at a first customer interface of the central monitoring station (12), the first customer data (38a) for retrieval by means of a first customer network (46a). The method also has the steps of generating manufacturer data (40) by processing at least part of the received first machine data (30a) using at least one manufacturer processing routine (54) of the processing unit (32) of the central monitoring station (12), the manufacturer processing routine (54) differing from the customer processing routine, and providing the manufacturer data (40) at a manufacturer interface of the central monitoring station (12), the manufacturer interface differing from the first customer interface.
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Description

[0001] Method for processing machine data of a container treatment device as well as central monitoring point and system for this purpose

[0002] The invention relates to the processing of machine data from container handling devices. Container handling devices are devices or machines used for processing containers or hollow bodies for a product. Container handling devices therefore include devices or machines for forming hollow bodies, such as preforms, for manufacturing containers for dispensing beverages, as well as devices used for filling and labeling such containers.

[0003] It is known in the prior art that hollow bodies, referred to as preforms, are produced from a thermoplastic material using a primary forming process, such as injection molding. Such preforms serve as blanks for the production of containers, such as plastic bottles for beverages.

[0004] The preforms are therefore first processed using a container treatment device, with the initial processing including temperature conditioning. During temperature conditioning, the preforms are brought to a temperature suitable for forming using heating elements of the container treatment device. Subsequently, the preforms are formed in a further step using the container treatment device or another container treatment device. This is done, for example, in a blow molding process, in which the previously tempered preforms are expanded against an external mold. In further process steps, which are carried out by the aforementioned container treatment device or devices, or by one or more further container treatment devices, the containers thus obtained are filled with a liquid, such as a beverage.

[0005] 12201 WO is filled, labeled, and provided in containers. All these steps are therefore carried out using individual or combined container handling equipment.

[0006] These tank handling devices collect a wide range of machine data, including information about the device's condition, process efficiency, and potential sources of error. To this end, the devices incorporate sensors and software routines integrated into their controller. These routines collect and output machine data for further processing and monitoring based on current processes, such as those controlled by the controller. Typically, the machine data of an operator of one or more tank handling devices, referred to below as the client, is made available for retrieval by the client within a customer network. The tank handling device is connected to this network via an interface with the controller.This allows the customer to further process and analyze this machine data.

[0007] Customer networks often integrate tank handling equipment from different manufacturers, resulting in machine data in varying formats being provided within the network. This presents a particular challenge for the customer: preparing this disparate machine data for comprehensive monitoring and analysis. Machine data, for example, from a tank handling line comprised of multiple equipment units, frequently needs to be standardized to enable analysis or monitoring of all provided machine data.

[0008] 12201 WO Accordingly, the requirement for container handling equipment is to provide data formats that are as uniform as possible, regardless of the manufacturer. However, this is often not feasible, as no standards have yet been established. Adapting machine data is frequently very complex and difficult for the customer to implement. Nevertheless, a manufacturer's service can usually adapt the machine data format to a desired format. This adaptation, however, typically involves the manufacturer's personnel, including on-site visits to the customer's production facility. A manufacturer's service for adapting software and the associated change in machine data format may need to be performed multiple times over the lifespan of a container handling device, resulting in significant costs for the manufacturer, which are ultimately borne by the customer.

[0009] The object of the present invention is to address the problems of the prior art. In particular, the object of the present invention is to adapt machine data of container handling devices to desired customer formats with minimal effort, especially without, for example, having to perform a software update of the container handling device. In any case, the object of the present invention is to find an alternative to what is known from the prior art.

[0010] According to the invention, a method for processing machine data of a container treatment device according to claim 1 is therefore proposed.

[0011] According to the procedure for processing machine data of a container treatment device, initial machine data is first processed, which

[0012] 12201 WO originates from a first container treatment device and is received via the internet by a central monitoring station. The central monitoring station has a first input interface for receiving the first machine data.

[0013] The machine data preferably includes data acquired by at least one sensor of the first container treatment device and / or a controller of the first container treatment device. This means that the central monitoring station is connected to the first container treatment device via the first input interface, which is connected to the internet.

[0014] The first input interface can preferably be connected to the first container handling device either directly via the internet or additionally via a first customer network for data exchange. The central monitoring point is thus preferably located remotely from the first container handling device. This means that the container handling device is connected, for example, via an interface such as the interface of a controller for the container handling device, to a local network, which can also be referred to as a customer network, in order to initially provide the first machine data only to the customer. However, the customer's local network is connected to the monitoring point via the internet, and the monitoring point is preferably connected to a further local network of a manufacturer.The local network to which the central monitoring station is connected is therefore different from the local network to which the first container handling device is connected. Preferably, the two local networks are connected to each other via the internet in order to transmit the first machine data from the container handling device to the monitoring station or to receive it from the central monitoring station.

[0015] 12201 WO In a further step, initial customer data is generated. This initial customer data is generated by processing at least a portion of the received initial machine data with at least one initial customer processing routine of a processing unit of the central monitoring station. This means that either the received initial machine data or a portion of the received initial machine data is processed with the initial customer processing routine in a processing unit. The processing unit is therefore part of the central monitoring station. The initial customer data is generated through this processing. Thus, during processing, either a portion of the received initial machine data or all of the machine data is processed.For example, some of the initial machine data received may consist solely of data relating to one or more specific sensors of the tank handling device, or to control or monitoring routines of the tank handling device's controller. This data may also include multiple data points or pieces of information relevant to the customer. For instance, some initial machine data may contain information that is currently or entirely irrelevant to the customer. Therefore, these portions of the initial machine data are filtered out before the actual customer processing and are not processed by the customer's processing routine. However, filtering out specific data from the initial machine data for further processing can also be part of the initial customer processing routine and occur during the processing step.

[0016] In a further step, the first customer data will be made available at a first customer interface of the central monitoring station for retrieval by a first customer, in particular a first customer network. Accordingly, a first customer interface is provided, through which...

[0017] 12201 WO a customer can connect, in particular through their first customer network. For example, this first customer interface is also designed so that a customer can access the first customer interface via a device or terminal, such as a mobile phone, to retrieve the first customer data. Preferably, the first customer interface is in turn connected to the internet, so that a customer can access the first customer interface remotely. A first customer network can preferably also correspond to the first customer operational network from which the machine data was received.

[0018] Additionally, the procedure includes generating manufacturer data using the monitoring station's processing unit. The manufacturer data is generated by processing at least a portion of the received initial machine data using at least one manufacturer processing routine. This manufacturer processing routine preferably differs from the customer processing routine. That is, the initial machine data is preferably processed differently by the manufacturer processing routine, i.e., using different software routines, than by the customer processing routine. Furthermore, in a subsequent step, the manufacturer data is made available at a manufacturer interface of the central monitoring station, which differs from the initial customer interface.

[0019] According to the invention, initial customer data can thus be generated from the initial machine data using the initial customer processing routine. The initial customer processing routine can be selected or adapted by the customer so that they receive the customer data from the machine data in the desired format. Independent of a manufacturer processing routine that, for example, additionally evaluates the machine data for the manufacturer, the customer processing routine can thus be adapted solely for the customer's purposes, i.e., to provide the customer with the desired format.

[0020] 12201 WO A dedicated customer interface is provided to make customer data generated in the desired format available and accessible only to authorized customers. This means that the manufacturer can selectively adapt the initial customer processing routine or choose a specific one from several available options without having to modify the control system of the container handling device. Furthermore, any changes do not affect the data the manufacturer derives from the initial machine data. This data remains unchanged even when a customer processing routine is modified. Additionally, the machine data remains unchanged within the customer's initial network, eliminating the need to adjust any existing data processing procedures.The first customer data with the desired customization can therefore be provided additionally.

[0021] According to a first embodiment, the method further comprises receiving second machine data via the internet from a second container treatment device. The second machine data comprises data from the second container treatment device, preferably acquired by a sensor or a controller of the second container treatment device. The second machine data is received via a second input interface of the central monitoring station. Preferably, the central monitoring station, with its second input interface, can be connected via the internet to another local network of a second customer, in particular a second customer operating network, to which the second container treatment device is also connected, in particular by a controller of the second container treatment device.This means that, for example, the first container treatment device is connected to a local network that is different from a local network to which the...

[0022] 12201 WO is connected to the second container treatment device. These two local networks are preferably different from the local network to which the central monitoring station is connected.

[0023] Furthermore, the method according to this embodiment includes generating second customer data by processing at least a portion of the received second machine data. The second customer data is processed by a second customer processing routine. This processing also takes place in the processing unit of the central monitoring station. The second customer processing routine may differ from the first customer processing routine or may be identical to it. In a further step, the second customer data is made available at a second customer interface of the central monitoring station for retrieval by a second customer network. The manufacturer's processing routine thus differs from both the first and second customer processing routines.

[0024] Therefore, machine data from several container handling devices, each assigned to different customers, can be processed in a central monitoring station by different customer processing routines in order to provide customer data for the respective customers in a desired format depending on their machine data.

[0025] According to a further embodiment, the first customer processing routine, preferably the second customer processing routine, and / or the manufacturer processing routine each correspond to a software routine. The software routine or software routines each comprise functions.

[0026] 12201 WO functions correspond to code that processes input data into output data according to rules specified by the function. Input data corresponds to at least a portion of the first machine data and / or at least a portion of the second machine data. Thus, the input data for the software routine corresponding to the first customer processing routine is, in particular, the first machine data, and the input data for the software routine corresponding to the second customer processing routine is, in particular, the second machine data. The input data for the software routine corresponding to the manufacturer routine is preferably the first and the second machine data.

[0027] The functions are used to reformat, filter, and / or evaluate the input data using at least one mathematical function and / or an artificial neural network. The artificial neural network is, in particular, a pre-trained artificial neural network.

[0028] The input data comprises the manufacturer data, the first customer data, or preferably the second customer data. The input data of the manufacturer routine therefore corresponds to the manufacturer data, and the output data of the first customer routine corresponds to the first customer data. Preferably, the output data of the second customer routine corresponds to the second customer data. The method then specifically includes executing the respective software routine during the processing step.

[0029] For example, the first customer data is provided by processing the first machine data with the first customer processing routine, which includes reformatting the first machine data, filtering the first machine data, and / or applying a mathematical function or an artificial neural network to the first machine data. The second customer data is then...

[0030] 12201 WO - IQ - for example, obtained by processing with the second customer processing routine in such a way that the second machine data is reformatted, filtered and / or processed with a mathematical function and / or an artificial neural network. Similarly, the manufacturer data is generated by the manufacturer routine by reformatting the first machine data and / or second machine data, filtering it, or applying one or more mathematical functions and / or an artificial neural network to it.

[0031] Reformatting can involve reordering machine data or changing the format in which machine data is output by the tank handling device or a tank handling device controller to a different format for providing customer data. Filtering can involve reducing the amount of machine data, for example, by averaging, filtering out specific measurements within the machine data, or similar adjustments to the measurements. A customer processing routine can also include multiple mathematical functions applied to the relevant machine data, or multiple reformatting or filtering steps applied to the relevant machine data when the corresponding customer processing routine is applied to the machine data.

[0032] Depending on the design of the customer processing routine, different and arbitrarily prepared customer data can be generated for different customers and also for a manufacturer itself, depending on the requirements of the customer or the manufacturer.

[0033] According to another embodiment, the initial customer data includes key performance indicators (KPIs) of the initial container handling device. These KPIs correspond, for example, to process KPIs or performance KPIs.

[0034] 12201 WO of the first container treatment device. The first customer processing routine generates the key figures depending on the first machine data. Accordingly, the first machine data is preferably processed using the first customer processing routine in order to generate the key figures.

[0035] Additionally or alternatively, the second customer data includes key performance indicators (KPIs) of the second container handling device. These KPIs correspond, for example, to process KPIs or performance KPIs of the second container handling device. The second customer processing routine generates these KPIs based on the second machine data. Preferably, the second customer processing routine is applied to the second machine data to generate the KPIs of the second container handling device.

[0036] Additionally or alternatively, the manufacturer's data also includes key performance indicators (KPIs). These KPIs are preferably process KPIs or performance KPIs for the first and second container handling devices. The KPIs in the manufacturer's data are generated by the manufacturer's processing routine based on the data from the first and second machine. Therefore, the manufacturer's processing routine is applied to the data from the first and second machine to generate the KPIs that comprise the manufacturer's data.

[0037] Preferably, the customer data includes key performance indicators (KPIs), such as process KPIs or performance KPIs of the respective container handling device, whereby the KPIs are provided at the relevant customer interfaces and are used by a customer for further processing.

[0038] 12201 WO processing, for example for immediate display during operation of a corresponding container treatment device or for evaluation.

[0039] Such key performance indicators correspond to or include, for example, values ​​that indicate the performance of the container handling device, such as a throughput of hollow bodies, such as processed containers per unit of time, a media consumption, such as a consumption of compressed gas in a forming process, an energy consumption, a number of produced, filled or labeled containers, or a number of sorted-out, for example defective, containers.

[0040] According to a further embodiment, the first customer data comprises statistical and / or stochastic machine data from the first container handling device. The statistical or stochastic machine data is generated by the processing unit, preferably exclusively, from the first machine data or from the first machine data and the second machine data. For this purpose, the corresponding machine data is processed by the customer processing routine. The processing preferably includes the application of at least one or more mathematical functions or of one or more, in particular pre-trained, artificial neural networks.

[0041] Preferably, the second customer data comprises statistical and / or stochastic machine data of the second treatment device. The statistical and / or stochastic machine data of the second container treatment device are generated, preferably exclusively, from the second machine data or from the first machine data and the second machine data. For this purpose, the second customer processing routine is applied by the processing unit to the machine data, preferably involving the application of at least one of the first machine data.

[0042] 12201 WO further mathematical function or of another artificial neural network on the corresponding machine data includes.

[0043] Additionally or alternatively, the manufacturer's data includes statistical and / or stochastic machine data from the first and / or second container handling device. This statistical and / or stochastic machine data is generated by applying the manufacturer's processing routine to the first and / or second machine data. The manufacturer's processing routine may include, for example, a further mathematical function and / or an artificial neural network, which is applied to the relevant machine data according to the manufacturer's processing routine.

[0044] Thus, the respective customer data includes, preferably in addition to key figures of the assigned container handling device, further information. Statistical and / or stochastic machine data are therefore determined by the processing unit, in particular by an analysis module of the processing unit. Preferably, the monitoring unit therefore includes a memory that continuously stores the first machine data, or at least parts of the first machine data, and preferably the second machine data, or at least parts of the second machine data, for a predefined period, for example in a ring buffer. This data can then be used by the customer processing routine and / or the manufacturer processing routine to generate statistical and / or stochastic machine data.

[0045] While the previously mentioned key figures, such as process key figures or performance key figures, essentially rely on current machine data-

[0046] To display the current operation of the respective container handling device, reference is made to 12201 WO. Statistical and / or stochastic machine data is derived from historical machine data. This allows for the provision of customer data that includes statistical and stochastic machine data. This data is not limited to a single customer's own machine data; due to the design of the central monitoring system, it incorporates machine data from various customers. Data privacy for individual customers is ensured, as only one authorized user with extensive access to the data at the monitoring system—preferably a single manufacturer—can view machine data from different customers. Without actually disclosing this data, it can be used to generate the statistical or stochastic machine data.

[0047] According to a further embodiment, at least one setting parameter is received via the manufacturer's interface or a manufacturer's input interface. Receiving a setting parameter via any or all customer interfaces, as well as via any or all input interfaces through which machine data can be received, is prevented. The customer interfaces and input interfaces are thus protected against receiving setting parameters. Setting parameters can therefore only be received via the manufacturer's interface or specified by a manufacturer, so that only a device or network authorized to access the manufacturer's interface can specify the setting parameters.

[0048] Depending on the received setting parameter(s), a setting or selection takes place at the monitoring station. Thus, depending on the setting parameter, it is selected which part of the received initial machine data is processed.

[0049] 12201 WO and which functions the first customer processing routine includes. Furthermore, or alternatively, depending on the setting parameter(s), it is selected which of the data generated during processing with the first customer processing routine are output as the first customer data at the first customer interface. Similarly, alternatively or additionally, based on the setting parameter(s), it is also selected which part of the received second machine data is processed and / or which functions the second customer processing routine includes. Alternatively or additionally, the setting parameter(s) select which of the data generated during processing with the second customer processing routine are output as the second customer data at the second customer interface of the central monitoring station.

[0050] Preferably, several functions or entire customer processing routines are stored in the central monitoring unit, for example, in a memory. These predefined functions or customer processing routines can only be adapted or supplemented with further functions or customer processing routines via the manufacturer's interface. The configuration parameters preferably allow different predefined functions to be combined according to customer requirements and made available as the first or second customer processing routine. Alternatively, one of the predefined customer processing routines can be selected as the first or second customer processing routine.

[0051] In particular, if a predefined customer processing routine is selected as the first or second customer processing routine, the setting parameters can also be used to select, i.e., configure, which of the data generated by the respective customer processing routine are actually output as customer data, depending on customer requirements.

[0052] 12201 WO will be used. Standardized customer processing routines can thus be used without providing the customer with unwanted data.

[0053] Using these parameters, appropriate customer data can be provided depending on customer requirements, whereby the type, method and extent of this customer data being provided can only be set by the manufacturer via the manufacturer interface.

[0054] Preferably, the customer requests specific processing of the initial machine data from the manufacturer in order to obtain desired customer data, for example, in a specific format. The corresponding processing of the machine data to obtain the requested customer data is then specified by the manufacturer as a setting parameter via the manufacturer interface.

[0055] Furthermore, according to another embodiment, the monitoring unit includes a security module. The security module is generally used to decrypt received encrypted data, such as the first machine data and the second machine data, if these are encrypted, and / or to encrypt customer data, such as the first customer data and the second customer data, as well as manufacturer data, in order to provide encrypted first and second customer data or encrypted manufacturer data.

[0056] In addition to or as an alternative to end-user encryption, the security module is used to perform authentication of networks and / or devices. Thus, the security module serves to authenticate one or more initial customer networks or devices, such as mobile phones or computers, for access to the...

[0057] 12201 WO first customer interface and / or one or more first customer production networks of the first customer for providing the first machine data. The first customer networks can correspond to the first customer production networks. Preferably, the security module also serves to perform authentication of one or more second customer networks or devices of a second customer for access to the second customer interface and / or one or more second customer production networks of the second customer for providing the second machine data. The second customer networks can correspond to the second customer production networks.

[0058] The security module is thus configured to enable authentication, for example, of a first customer at the first customer interface via their first customer network, using authentication data such as a customer username and password. Through this authentication, only the customer network(s) of a customer have access to their assigned customer interface, and only the customer's production networks can provide the corresponding machine data.

[0059] Furthermore, the security module serves to authenticate a manufacturer's network for access to the manufacturer interface or the manufacturer input interface, which can also be executed with the security module, thus preventing customer networks from accessing the manufacturer interface. The manufacturer interface or the manufacturer input interface is therefore only accessible via one or more manufacturer networks and is protected against access by other devices.

[0060] According to another embodiment, initial customer information is received via the first customer interface and additionally or alternatively, second customer information is received via the second customer interface.

[0061] 12201 WO Accordingly, a customer interface serves not only to provide customer data, but also to receive customer information.

[0062] This customer information includes, for example, maintenance information for the respective container handling device or other customer-specific information that describes the current operating status of the respective container handling device. Maintenance information includes, for example, customer-specified information indicating the maintenance status of the container handling device. For instance, if a mechanical part of the container handling device is replaced, it is often not possible to record such a replacement, i.e., a renewal or repair, in the device's control system. Consequently, no machine data is available to indicate this replacement.To nevertheless account for changes to such components, which, for example, affect operations, during data processing, such maintenance information can be provided by the customer as customer information via the corresponding customer interface. Accordingly, the processing unit is configured to use the customer information in the customer processing routines or the manufacturer processing routine. Consequently, the customer information or the manufacturer information is generated based on the customer information.

[0063] This also allows customer and manufacturer data to be generated based on information that cannot be captured via sensors or a control system for the container handling devices.

[0064] According to another embodiment, the processing unit corrects initial defects of the first container treatment device depending on

[0065] 12201 WO The first machine data and preferably also the second machine data are used to detect and / or predict faults in the second container handling device. Additionally or alternatively, faults in the second machine handling device are detected and / or predicted based on the second machine data and also preferably additionally on the first machine data.

[0066] In the event that a first or second error is detected or predicted, corresponding error messages are provided or issued. For example, in the event of a detected or predicted first error, a first error message is sent to a predefined first device of a first customer or to the first customer network. In the event of a detected and / or predicted second error, a second error message is sent to a predefined second device of a second customer or to the second customer network. Alternatively or additionally, in the event of a detected and / or predicted first error, a first error message is provided at the first customer interface, and in the event of a detected and / or predicted second error, a second error message is provided at the second customer interface.

[0067] Accordingly, the processing unit is configured to detect errors in the operation of the container handling device by processing, in particular analyzing, the machine data. Errors can be detected or predicted, for example, if the machine data received by the container handling device deviates from expected machine data. Expected machine data can be stored in the processing unit, preferably in a memory, for different types of container handling devices. A significant deviation of machine data from the expected machine data, such as a deviation above a certain upper error threshold, can

[0068] For example, a deviation of 12201 WO can be immediately recognized as an error. A small deviation, for example below the upper error threshold but above a lower error threshold, can be interpreted as an indication of an impending error or failure of the container handling device, so that such a deviation can be recognized as a predicted error.

[0069] The deviations can be detected, for example, using one of the mathematical functions mentioned above. However, the example described is just that—an example. More complex analysis of the machine data using an artificial neural network, as described in other embodiments, is also possible to detect and, in particular, predict errors.

[0070] Detected or predicted errors are communicated directly to the customer, for example, via a push notification. In particular, predicted errors are made available on the customer interface, so that the next time a customer checks the system, these errors, including information about their customer data, can be accessed along with the customer's data.

[0071] Furthermore, the invention relates to a central monitoring station. The central monitoring station is preferably configured to execute the method according to the invention or the method according to one of the embodiments. For this purpose, the central monitoring station comprises a first input interface for receiving initial machine data via the internet. A processing unit is also provided to generate initial customer data based on the initial machine data by applying a first customer processing routine. The processing unit is further configured to generate manufacturer data from the initial machine data by applying a manufacturer processing routine.

[0072] 12201 WO to generate. The manufacturer processing routine preferably differs from the customer processing routine. Furthermore, the central monitoring point includes a customer interface for providing the initial customer data and a manufacturer interface for providing the manufacturer data. The manufacturer interface is different from the customer interface.

[0073] According to one embodiment, the monitoring unit comprises an input interface module with multiple input interfaces, in particular a first input interface and at least one second input interface. Each input interface is configured to connect to at least one of several container handling devices and to receive machine data from these devices. The central monitoring unit also comprises an output interface module with multiple customer interfaces, specifically a first customer interface and preferably a second customer interface. Each customer interface is configured to connect to one of several customer networks or end devices and to provide or output customer data specific to that customer network.

[0074] According to one embodiment, the first input interface is configured to receive first machine data from several first container handling devices. The container handling devices are connected to one or each to one of several separate first customer production networks, wherein the first customer production network(s) can be connected to the first input interface for data exchange via the internet. Preferably, a security module is provided with which the first customer production network(s)

[0075] 12201 WO networks for providing the first machine data at the first input interface are authenticable. This means that several first container handling devices can be arranged geographically separately and, in particular, connected to different customer production networks. If they are assigned to the same customer and thus belong to one or more first customer production networks, they can provide the first machine data via the first input interface. In particular, a portion of the first machine data corresponds to the machine data of each of the first container handling devices.

[0076] According to a further embodiment, a second input interface is also provided, to which several second container handling devices can be connected, each connected to one or more separate second customer production networks. In this way, the multiple second container handling devices can each send second machine data, which can be received via the second input interface.

[0077] Furthermore, the central monitoring unit comprises a processing unit specifically designed to receive the first machine data, a portion of the first machine data, the second machine data, or at least a portion of the second machine data, stored first machine data, or stored second machine data as input data and to process this data, depending on customer processing routines, in particular a first customer processing routine and a second customer processing routine, as well as depending on a manufacturer processing routine, in order to provide first customer data, second customer data, and manufacturer data. The customer processing routines or manufacturer processing routines comprise one or more mathematical functions and / or one or more artificial neural networks.

[0078] 12201 WO networks that are preferably trained to generate customer data and manufacturer data.

[0079] Furthermore, according to another embodiment, the monitoring unit includes a security module. The security module is configured to decrypt machine data received via the interfaces, in particular the first input interface and the second input interface, and to encrypt data provided via the first customer interface, the second customer interface, or the manufacturer interface. The security module also serves to authenticate customer operating networks connected to the input interfaces, or customer terminal equipment or customer networks connected to the customer interfaces.

[0080] According to another embodiment, the monitoring unit includes a storage module for storing the first machine data as stored first machine data and / or the second machine data as stored second machine data. The storage module serves to provide the stored machine data to the processing unit.

[0081] Furthermore, the invention comprises a system with a central monitoring station according to one of the embodiments and a first container treatment device. The first container treatment device includes a controller that is connected to the monitoring station, specifically to the first input interface of the monitoring station, via the internet, in particular via a customer's first operating network and the internet. The first container treatment device is located remotely from the monitoring station, this distance preferably being at least 20 km, at least 50 km, or at least 100 km. Preferably, the system further comprises a second container treatment device with a second controller. The second

[0082] The second control unit (12201 WO) is also connected to the monitoring station via the internet. Preferably, the second control unit is connected to a second customer network, which is a local area network, wherein the customer network is also connected to the internet and can thus establish a connection to the monitoring station, in particular to a second input interface. The second container treatment device is located remotely from the monitoring station and preferably remotely from the first container treatment device, with the distance preferably being at least 20 km, at least 50 km, or at least 100 km.

[0083] Further embodiments are shown in the exemplary embodiments explained in more detail in the figures. These show:

[0084] Figure 1 shows a system according to an exemplary embodiment and

[0085] Figure 2 shows the steps of the procedure according to an exemplary embodiment.

[0086] Figure 1 shows a system 10 according to an embodiment of the invention. The system 10 comprises a central monitoring station 12, a first operating site 14a of a first customer 15a, and a second operating site 14b of a second customer 15b. The first operating site 14a has a first local customer network 16a, to which first container handling devices 18a are connected via their respective controllers 20a. Furthermore, a local computer 21a is connected to the first customer network 16a. The first customer network 16a includes an internet interface 22a, which is connected to the internet 24.

[0087] The second operating site 14b comprises corresponding components, namely a second customer operating network 16b, a second container treatment-

[0088] 12201 WO Devices 18b, which are connected via their controllers 20b to a second customer network 16b, a local computer which is also connected to the local customer network 16b, and an interface 22b with which the customer network 16b is connected to the Internet 24. For each of the operating sites 14a, 14b, the central monitoring station 12 has an input interface 26a, 26b of an input interface module 28. The input interface module 28 has two input points 26a, 26b here, whereby this limitation serves only to better explain the invention and a central monitoring station 12 according to other embodiments can have only one or a plurality of input interfaces 26 for receiving data from a plurality of operating sites 14.

[0089] In the illustrated embodiment, the first input interface 26a is connected to the first customer network 16a via the internet 24, and the second input interface 26b is connected to the second customer network 16b via the internet 24. First machine data 30a is received via the first input interface 26a, and second machine data 30b is received via the second input interface 26b. The first machine data 30a and the second machine data 30b are fed to a processing unit 32 within the central monitoring station 12 and processed by the processing unit 32. Simultaneously, the first machine data 30a and the second machine data 30b are stored in a memory 34 of the central monitoring station 12.Stored first machine data 36a and stored second machine data 36b can then also be supplied to the processing unit 32 in order to be taken into account in the processing of the first machine data 30a and the second machine data 30b.

[0090] 12201 WO Through processing, first customer data 38a, second customer data 38b, and manufacturer data 40 are generated from the machine data 30a, 30b, 36a, 36b. This customer data 38a, 38b is provided at different interfaces of an output interface module 39. The first customer data 38a is provided at a first customer interface 42a. The second customer data 38b is provided at a second customer interface 42b. The manufacturer data 40 is provided at a manufacturer interface 44 of the output interface module 39.

[0091] The first customer interface 42a and the second customer interface 42b are, for example, connected to the internet 24 to provide the corresponding customer data 38a, 38b in the respective customer operating networks 16a, 16b. In this case, the first customer operating network 16a corresponds to a first customer network 46a, which is authorized to retrieve data from the first customer interface 42a. The second customer operating network 16a corresponds to a second customer network 46b, which is authorized to retrieve data, namely the second customer data 38b, from the second customer interface 42b. However, it may also be possible to retrieve the first customer data 38a with an end device 48a of the first customer 15a and, correspondingly, the second customer data 38b with a second end device 48b of a second customer 15b. The terminal devices 48a, 48b are thus each configured to retrieve the corresponding customer data 38a, 38b from the corresponding customer interfaces 42a, 42b.

[0092] Furthermore, it is also provided that initial customer information 64a is received via the first customer interface 42a and secondary customer information 64b is received via the second customer interface 42b. The customer information 64a and 64b can be used in the processing unit 32, in particular in the software routines 50.

[0093] 12201 WO The monitoring unit 12 includes a security module 62, which acts on the input interface module 28 and the output interface module 39 and serves to encrypt all outgoing data, such as customer data 38a, 38b and manufacturer data 40, to decrypt incoming data, such as machine data 30a, 30b and to authenticate the customer networks 46a, 46b, customer operating networks 16a, 16b of different customers 15a, 15b and a manufacturer network 35 of a manufacturer 37.

[0094] For processing the customer data 38a, 38b in the processing unit 32, software routines 50 are provided in the processing unit 32, comprising a first customer processing routine 52a, a second customer processing routine 52b, and a manufacturer processing routine 54. The customer processing routines 52a, 52b, and the manufacturer processing routine 54 include, for example, identical or different mathematical functions 56 or artificial neural networks 58. The processing unit is configured to receive setting parameters 60 via the manufacturer interface 44, whereby the customer processing routines 52a, 52b can be adapted depending on the setting parameters 60. According to the selected parameters 60, the processing in the processing unit 32 is then controlled depending on the customer processing routines 52a, 52b.

[0095] Figure 2 shows a method according to an exemplary embodiment. In step 70, setting parameters 60 are received via a manufacturer interface 44, and in step 72, a manufacturer processing routine 54, a first customer processing routine 52a, and a second customer processing routine 52b are adapted depending on the setting parameters 60.

[0096] 12201 WO In step 74, initial machine data 30a and second machine data 30b are received, and in step 76, stored machine data 36a, 36b are retrieved. Additionally, in step 78, customer information 64a, 64b is obtained by retrieving it from a memory 34 or by receiving it via customer interfaces 42a, 42b.

[0097] In step 80, the machine data 30a, 30b, the stored machine data 36a, 36b, and the customer information 64a, 64b are processed, with the processing depending on the previously defined customer processing routines 52a, 52b and the manufacturer processing routine 54. In step 82, the first customer data 38a, second customer data 38b, and manufacturer data 40 generated by the processing are encrypted at different interfaces for retrieval by different customers 15a, 15b and made available at the corresponding interfaces in step 84. In step 86, a first customer 15a authenticates itself at the first customer interface 42a with its first customer network 46a or its first terminal device 48a, and a second customer 15b authenticates itself at the second customer interface 42b in order to retrieve the corresponding customer data 38a, 38b. In step 88, customer data 38a, 38b are retrieved.

[0098] 12201 where reference list

[0099] 10 System

[0100] 12 central monitoring station

[0101] 14 operating sites

[0102] 14a first place of business

[0103] 14b second place of business

[0104] 15a first customer

[0105] 15b second customer

[0106] 16a first customer operating network

[0107] 16b second customer operating network

[0108] 18a first container treatment devices

[0109] 18b second container treatment devices

[0110] 20a first controls

[0111] 20b second controls

[0112] 21a first computer

[0113] 21 b second computer

[0114] 22a Internet interface

[0115] 22b interface

[0116] 24 Internet

[0117] 26a first input interface

[0118] 12201 WO 26b second input interface

[0119] 28 Input interface module

[0120] 30a first machine data

[0121] 30b second machine data

[0122] 32 processing units

[0123] 34 storage

[0124] 35 manufacturer network

[0125] 36a stored first machine data

[0126] 36b stored second machine data

[0127] 37 manufacturers

[0128] 38a first customer data

[0129] 38b second customer data

[0130] 39 Output interface module

[0131] 40 manufacturer data

[0132] 42a first customer interface

[0133] 42b second customer interface

[0134] 44 Manufacturer interface

[0135] 46a first customer network

[0136] 46b second customer network

[0137] 48a first terminal device

[0138] 12201 WO 48b second terminal device

[0139] 50 software routines

[0140] 52a First customer processing routine

[0141] 52b second customer processing routine

[0142] 54 manufacturer processing routines

[0143] 56 mathematical functions

[0144] 58 neural network

[0145] 60 setting parameters

[0146] 62 Safety module

[0147] 64a First customer information

[0148] 64b second customer information

[0149] 70 parameters received via manufacturer interface

[0150] 72 Adapting manufacturer processing routine, first customer processing routine and second customer processing routine

[0151] 74 Receive first machine data and second machine data

[0152] 76 Retrieving stored machine data

[0153] 78 Receive customer information

[0154] 80 Processing machine data, stored machine data and customer information

[0155] 82 Encrypt first customer data, second customer data and manufacturer data

[0156] 12201 WO 84 Provide first customer data, second customer data and manufacturer data

[0157] 86 Authenticating the first customer

[0158] 88 Retrieving customer data

[0159] 12201 where

Claims

Claims 1. Method for processing machine data (30a, 30b) of a container treatment device (18a, 18b), comprising the steps: Receiving first machine data (30a) via the Internet (24) from a first container handling device (18a), preferably comprising data acquired by at least one sensor or controller (20a) of the first container handling device (18a), with a first input interface (26a) of a central monitoring station (12), generating first customer data (38a) by processing at least part of the received first machine data (30a) by at least one first customer processing routine (52a) of a processing unit (32) of the central monitoring station (12), Providing the first customer data (38a) at a first customer interface (42a) of the central monitoring station (12) for retrieval by a first customer (15a), in particular a first customer network (46a), Generating manufacturer data (40) by processing at least part of the received first machine data (30a) by at least one manufacturer processing routine (54) of the processing unit (32) of the central monitoring point (12), wherein the manufacturer processing routine (54) preferably differs from the first customer processing routine (52a), and Providing the manufacturer data (40) to a manufacturer interface (44) of the central monitoring point (12), which is different from the first customer interface (42a).

2. The method according to claim 1, further comprising: 12201 WO Receiving second machine data (30b) via the Internet (24) from a second container handling device (18b), preferably comprising data acquired by at least one sensor or controller (20b) of the second container handling device (18b), with a second input interface (26b) of the central monitoring station (12), generating second customer data (38b) by processing at least part of the received second machine data (30b) by a second customer processing routine (52b) of the processing unit (32) of the central monitoring station (12) and Providing the second customer data (38b) at a second customer interface (42b) of the central monitoring point (12) for retrieval by a second customer (15b), in particular a second customer network (46b), wherein the manufacturer processing routine (54) differs from the second customer processing routine (42b).

3. A method according to claim 1 or 2, wherein the manufacturer processing routine (54), the first customer processing routine (52a) and preferably the second customer processing routine (52b) each correspond to a software routine (50), wherein the software routine comprises functions to reformat, filter and / or evaluate input data comprising at least one part of the first machine data (30a) and / or at least one part of the second machine data (30b) using at least one mathematical function (56) or an artificial neural network (58), in particular a pre-trained one, to output output data comprising the manufacturer data (40), the first customer data (38a) or the second customer data (38b), wherein the processing particularly comprises executing the respective software routine (60). 12201 WO 4. A method according to any of the preceding claims, wherein the first customer data (38a) comprise key figures, such as process key figures or performance key figures, of the first container treatment device (18a), wherein the first customer processing routine (52a) generates the key figures depending on the first machine data (30a) and / or the second customer data (38b) comprise key figures, such as process key figures or performance key figures, of the second container treatment device (18b), wherein the second customer processing routine (52b) generates the key figures depending on the second machine data (30b) and / or the manufacturer data (40) comprise key figures, such as process key figures or performance key figures, of the first container treatment device (18a) and the second container treatment device (18b), wherein the manufacturer processing routine (54) generates the key figures depending on the first machine data (30a) and the second machine data (30b).

5. A method according to any of the preceding claims, wherein the first customer data (38a) comprise statistical and / or stochastic machine data (30a, 30b) of the first container handling device (18a), and the first customer processing routine (52a) generates and / or processes the statistical and / or stochastic machine data (30a, 30b), in particular by applying at least one or more mathematical functions (56) or one or more artificial neural networks (58), in particular pre-trained, to the first machine data (30a) or to the first machine data (30a) and the second machine data (30b). 12201 WO the manufacturer data (40) comprise statistical and / or stochastic machine data (30a, 30b) of the first and / or second container handling device (18b), and the manufacturer processing routine (54) generates the statistical and / or stochastic machine data (30a, 30b), in particular by applying at least one or more mathematical functions (56) or one or more artificial neural networks (58), in particular pre-trained, to the first machine data (30a), in particular exclusively to the second machine data (30b), or to the first machine data (30a) and the second machine data (30b), and preferably the second customer data (38b) comprise statistical and / or stochastic machine data (30a, 30b) of the second container handling device (18b), and the second customer processing routine (52b) generates the statistical and / or stochastic machine data (30a, 30b).in particular by applying at least one or more mathematical functions (56) or one or more artificial neural networks (58), in particular pre-trained, to the second machine data (30b) or the first machine data (30a) and the second machine data (30b).

6. Method according to one of the preceding claims, wherein the monitoring point (12) receives at least one setting parameter (60) via the manufacturer interface (44) or a manufacturer input interface, and in particular prevents the receiving of the setting parameter (60) via the or all customer interfaces (42a, 42b) and input interfaces (26a, 26b) of the machine data (30a, 30b), and selects in the monitoring point (12) depending on the setting parameter (60): 12201 WO which part of the received first machine data (30a) is processed and / or which function the first customer processing routine (52a) includes and / or which of the data generated during processing are output as first customer data (38a) at the first customer interface (42a) of the central monitoring point (12) and / or which part of the received second machine data (30b) is processed and / or which functions the second customer processing routine (52b) includes and / or which of the data generated during processing are output as second customer data (38b) at the second customer interface (42b) of the central monitoring point (12).

7. Method according to one of the preceding claims, wherein the monitoring point (12) comprises a safety module (62), and the safety module (62) is implemented as comprising at least one of: Decrypting first machine data (30a) and / or second machine data (30b) received as encrypted data, in particular for processing in the processing unit (32), encrypting first customer data (38a) for providing encrypted first customer data (38a) at the first customer interface (42a), Encrypting second customer data (38b) to provide encrypted second customer data (38b) at the second customer interface (42b), Performing authentication of one or more first customer networks (46a) to access the first customer interface (42a) and / or one or more first customer production networks (16a) to provide the first machine data (30a), 12201 WO Performing authentication of one or more secondary customer networks (46b) to access the secondary customer interface (42b) and / or one or more secondary customer production networks (16b) to provide the secondary machine data (30b) and / or Performing authentication of a manufacturer network (35) to access the manufacturer interface (44) or the manufacturer input interface.

8. A method according to any of the preceding claims, wherein first customer information (64a) is received via the first customer interface (42a) and preferably second customer information (64b) is received via the second customer interface (42b), and the first and preferably the second customer information (64a, 64b) is used in the processing unit (32), in particular as further input data for the first customer processing routine (52a) and / or the manufacturer processing routine (54) and preferably the second customer processing routine (52b) to generate the output data, wherein preferably the first customer information (64a) comprises information, such as maintenance information, of the first container handling device (18a) and / or the second customer information (64b) comprises information, such as maintenance information, of the second container handling device (18b).

9. Method according to one of the preceding claims, wherein the processing unit (32) detects first defects of the first container treatment device (18a) depending on the first machine data (30a), and preferably on the second machine data (30b), and / or second defects of the second container treatment device (18b) depending on the second machine data (30b), and 12201 WO preferably from the first machine data (30a), are detected and / or predicted and in the case of a detected and / or predicted first fault, a first fault message is sent to a predefined first device (48a) of the first customer (15a) or the first customer network (46a) and in the case of a detected and / or predicted second fault, a second fault message is sent to a predefined second device (48b) of a second customer (15b) or the second customer network (46b) and / or in the case of a detected and / or predicted first fault, a first fault message is provided at the first customer interface (42a) and in the case of a detected and / or predicted second fault, a second fault message is provided at the second customer interface (42b).

10. Central monitoring unit (12), comprising: a first input interface (26a) for receiving first machine data (30a) via the Internet (24) from a first container handling device (18a), preferably comprising data acquired by at least one sensor or controller (20a) of the first container handling device (18a), a processing unit (32) for generating first customer data (38a) by processing at least part of the received first machine data (30a) with a first customer processing routine (52a) and for generating manufacturer data (40) by processing at least part of the received first machine data (30a) by at least one manufacturer processing routine (54), wherein the manufacturer processing routine (54) is preferably different from the first customer processing routine (52a), 12201 WO a first customer interface (42a) for providing the first customer data (38a), a manufacturer interface (44) which differs from the first customer interface (42a) for providing the manufacturer data (40), wherein the central monitoring point (12) is preferably configured to carry out a method according to one of the preceding claims.

11. Central monitoring unit (12) according to claim 10, further comprising: an input interface module (28) with multiple input interfaces (26a, 26b), wherein each of the input interfaces (26a, 26b) is configured to be connected to at least one of several container handling devices (18a, 18b) and to receive machine data (30a, 30b) from the connected container handling device (18a, 18b); an output interface module (39) with multiple customer interfaces (42a, 42b), wherein each of the customer interfaces (42a, 42b) is configured to be connected to one of several customer networks (46a, 46b) or devices (48a, 48b) of customers (15a, 15b) and to receive customer data (38a, 38b) intended for the respective customer network (46a, 46b) or device (48a, 48b). 38b) to provide and / or output, preferably the first input interface (26a) of the monitoring station (12) being set up,from several first container treatment devices (18a) connected to one or each to one of several separate first customer production networks (16a), to receive first machine data (30a) and particularly preferably a second input interface, 12201 WO The monitoring station (12) is set up to receive second machine data (30b) from several second container treatment devices (18b) connected to one or each to one of several separate second customer production networks (16b).

12. Central monitoring unit (12) according to claim 10 or 11, wherein the processing unit (32) is configured to retrieve or provide one or more functions (56) and / or, in particular, pre-trained artificial neural networks (58) in order to apply, during evaluation, the mathematical functions (56) or the artificial neural networks (58) to the machine data (30a, 30b) and / or stored machine data (36a, 36b), wherein at least a part of the first machine data (30a), at least a part of the second machine data (30b), at least a part of the stored first machine data (36a) and / or at least a part of the stored second machine data (36b) correspond to input data and the manufacturer data (40) correspond to output data of the mathematical function (56) or the neural network (58).

13. Central monitoring station (12) according to one of claims 10 to 12, further comprising a safety module (62) for: Decryption of first machine data (30a) and / or second machine data (30b) received as encrypted data, in particular for processing in the processing unit (32), Output of first customer data (38a) by encryption as encrypted first customer data (38a) at the first customer interface (42a), 12201 WO Output of second customer data (38b) by encryption as encrypted second customer data (38b) at the second customer interface (42b), Authentication of one or more first customer networks (46a) to access the first customer interface (42a) and / or one or more first customer production networks (16a) to provide the first machine data (30a), authentication of one or more second customer networks (46b) to access the second customer interface (24b) and / or one or more second customer production networks (16b) to provide the second machine data (30b) and / or Authentication of a manufacturer network (35) to access the manufacturer interface (44).

14. Central monitoring unit (12) according to one of claims 10 to 13, further comprising a storage module for storing first machine data (30a) and / or second machine data (30b) and for providing the stored machine data (36a, 36b) to the processing unit (32) for evaluation.

15. System (10) with a central monitoring station (12) according to any one of claims 10 to 14, comprising a first container treatment device (18a) having a first controller (20a) connected to the monitoring station (12) via the Internet (24), wherein the first container treatment device (18a) is located remotely, preferably at least 20 km, at least 50 km or at least 100 km, from the monitoring station (12), and preferably comprising a second container treatment device (18b) having a second controller (20b) connected to the monitoring station (12) via the Internet (24), wherein the second container treatment device 12201 WO (18b) is located, preferably at least 20 km, at least 50 km or at least 100 km, from the monitoring point (12) and the first container treatment device (18a). 12201 where