Device and method for preserving beverages, including a remote-controlled system monitoring process and a data analysis with feedback

Abstract

The invention relates to a device (1) for preserving beverages, comprising a measuring device (3) which is suitable and intended for determining the flow rate of a liquid flowing through a beverage line (10); a pump device (4) which pumps a preservative, in particular dialkyl carbonates, into the beverage line (10); and at least two additional measuring devices (22, 24, 42, 44) which determine at least two additional characteristic measurement values (M2, M3, M4, M5) for the operation of the device (1), wherein the device (1) has a controller (14) for controlling the pump device (4). The invention is characterized in that the device has a storage device (15) which allows a repeated storage of at least the additional characteristic measurement values, and the controller (14) is suitable and intended for controlling the pump device on the basis of at least one of the stored measurement values.

Description

[0001] Apparatus and method for preserving beverages with remote system monitoring and data evaluation with feedback

[0002] Description

[0003] The invention relates to a device and a method for monitoring a plant for preserving beverages and to the use of the device for this purpose.

[0004] Preservatives such as dialkyl dicarbonates, sulfur dioxide, natamycin, benzoates, or sorbates are used in the beverage industry for the cold sterilization of non-alcoholic carbonated or still fruit juice drinks, fruit juices, wines, non-alcoholic wines, ciders, iced teas, and other beverages. Dialkyl dicarbonates, particularly dimethyl dicarbonate or diethyl dicarbonate, represent a special cold sterilization agent and offer a number of advantages. The outstanding advantage lies in the fact that, unlike hot filling, taste and color are not affected. Compared to persistent preservatives such as sodium benzoate or benzoic acid, or potassium sorbate or sorbic acid, the advantage lies in the absence of any taste impairment and the disappearance of their effect.Because dialkyl dicarbonates decompose into harmless components, no preservatives are consumed by the actual consumer. Compared to cold aseptic filling, the significantly lower investment costs for plant technology are a particular advantage of using dialkyl dicarbonates.

[0005] State-of-the-art technology uses diaphragm dosing pumps installed in beverage lines, for example, to add dialkyl dicarbonates. These pumps allow the dialkyl dicarbonates to be introduced into the ongoing beverage flow. Otherwise, a uniform and reliable distribution throughout the beverage cannot be guaranteed. One advantage of diaphragm pumps is that their pump chamber is completely sealed.

[0006] However, other types of pumps can also be used. Diaphragm pump systems typically consist of a magnetically or electrically driven diaphragm pump, storage vessels, a device attached to the beverage line for atomizing the dialkyl dicarbonate, a flow meter attached to the beverage line, and an electronic control unit. Dosing pumps of this type are usually permanently installed in the beverage line.

[0007] The dosing pumps are advantageously suitable for several different performance parameters, especially for small and very small quantities. In addition, these dosing pumps should offer high dosing accuracy, high atomization pressure, and a wide control range.

[0008] The functionality of these devices is based on online measurement of the beverage flow rate in the beverage pipe and the resulting calculation of the amount of dialkyl dicarbonate to be dosed. Dialkyl dicarbonates are thus proportionally dosed into the beverage pipe in the required amount. Examples of these pumps are the VelcorinDT devices from Lanxess.

[0009] The present invention is based on the object of simplifying the operation of such devices. This is achieved according to the invention by the subject matter of the independent patent claims. Advantageous embodiments and further developments are the subject matter of the dependent claims. A device according to the invention for preserving beverages has a measuring device which is suitable and intended for determining a flow rate of a liquid flowing through a beverage line, and a pump device which pumps a preservative, in particular dialkyl dicarbonates, into the beverage line, and at least two further measuring devices which determine at least two further measured values ​​characteristic of the operation of the device, wherein the device has a control device for controlling the pump device.

[0010] According to the invention, the device comprises a storage device which enables repeated storage of at least the further characteristic measured values ​​and the control device is suitable and intended to control the pump device in dependence on at least one of the stored measured values.

[0011] Additionally or alternatively, the device preferably comprises an evaluation device that evaluates the data recorded by the measuring devices. This evaluation can be carried out using a model, in particular a simulation model, and in particular using a simulation dosage model (hereinafter also referred to as the dosage model for short).

[0012] In a preferred method, the evaluation device is an external evaluation device, in particular a cloud-based and / or external server. An external server is understood to mean, in particular, a server external to the (Ego) pump device, in particular a backend server.

[0013] The external server is, for example, a backend of a manufacturer of the device according to the invention, the pumping device, or of a service provider, which is configured to evaluate environmental data and / or data derived therefrom (in particular, in each case, relating to filling situations with respect to a plurality of (EGO) pumping devices) and / or to manage and / or store (determined) notification size(s). The functions of the backend or the external server can be performed on (external) server farms. The (external) server can be a distributed system. The external server and / or the backend can be cloud-based.In a further preferred method, the pump device or the apparatus is controlled and / or regulated and / or monitored as a function of a, in particular trainable, machine learning dosage model which comprises a set of, in particular trainable, parameters which are set to values ​​which were learned as a result of a training process, wherein the training process was carried out on the basis of a set of training data.

[0014] Preferably, the training data comprise at least one variable relating to a flow rate of the beverage present in relation to the pump device and / or the device as a whole, in relation to further variables characteristic of the dosing process, such as in particular a pressure of the preservative, a flow rate of the preservative and / or a temperature of the preservative.

[0015] Preferably, the training data comprise, as a classification feature, the information as to whether the state corresponds to (fault-free) normal operation and / or whether a malfunction is present and / or whether a (progressive) aging state of the pump device and / or the device as a whole is present.

[0016] Preferably, the dosage model is suitable and intended to detect deviations and / or anomalies and / or patterns (in the training data) which indicate a fault condition and / or malfunctions and / or (advanced) aging of elements of the pump device and / or the device as a whole and / or a maintenance requirement of the pump device and / or the device as a whole.

[0017] Preferably, the dosage model outputs a probability value (as output) that is characteristic of the input variables.

[0018] In a preferred embodiment, the storage device allows storage of the measured value with a time assignment. Preferably, the storage device also allows storage of a measured value characteristic of the flow rate and / or one or more measured values ​​acquired by the aforementioned measuring device.

[0019] In a preferred embodiment, the device comprises at least one receptacle for at least temporarily holding the preservative. This receptacle is preferably arranged upstream of, or in front of, the pump device in the flow direction of the preservative. Particularly preferably, the pump device can remove the preservative from this receptacle.

[0020] The device preferably comprises a venting device for venting the pump device. This venting device preferably comprises a measuring device or sensor device that determines at least one measured value that is characteristic of a venting state of the pump device.

[0021] In a further advantageous embodiment, the device comprises a further receiving device for receiving the preservative. It is possible for the preservative to be initially conveyed from one of the two receiving devices into the second receiving device. Particularly preferably, the second receiving device(s) is / are a receiving container, in particular a buffer container.

[0022] In a further advantageous embodiment, the device comprises a comparison device that is suitable and intended for comparing the characteristic measured value with a reference value. For example, a difference between the reference value and the measured value can be determined. A quotient between the characteristic measured value and the reference value can also be formed. This reference value or target value can be a predetermined target value and / or a measured value also stored in the memory device.

[0023] Furthermore, it can be checked whether a deviation between the measured value and the target value and / or reference value lies within predetermined limits. If this is not the case, an alarm can be issued.

[0024] In a further preferred embodiment, the device comprises an alarm output device, which is suitable and intended to output an alarm upon the occurrence of a fault condition. Preferably, the aforementioned storage device is suitable and intended to store data characteristic of this alarm. For example, a time of the output alarm, the said measured value, and possibly also other measured values ​​can be stored. The storage device can be an internal storage device, for example, arranged on or in the pump device or its control system, but it can also be a cloud or an internet storage device.

[0025] In a further preferred embodiment, the pump device can also be controlled depending on a flow rate determined by the measuring device. It is possible for this flow rate to be determined (in particular permanently) and for the pump device to be controlled depending on this.

[0026] In a preferred embodiment, the device comprises a model generation unit that is suitable and intended to create a model for operating the device based on a plurality of measured values. This model is also referred to below as a dosage model. Based on this model, it is possible to simulate the device and / or its operation.

[0027] It is possible for measured values ​​to be determined and preferably sent to a manufacturer. This manufacturer preferably creates a simulation environment based on the measured values ​​or physical parameters. In this simulation environment, a test system is put into operation, which is, in particular, identical in design to the device. Based on this operation of the test system, operating parameters are determined, which in turn are output to the individual (real) devices, so that they can now operate with parameters recorded under realistic environmental conditions or with operating recipes determined in this way.

[0028] Preferably, an operating recipe determination device is provided, which determines an operating recipe for operating the device based on the parameters and / or measured values. This operating recipe determination device can also access already known system-specific values. Preferably, the test device also has additional sensor devices that determine parameters characteristic of the operation of the test device, such as temperatures or pressures.

[0029] In a further preferred embodiment, the device has artificial intelligence for controlling the device. In a preferred embodiment, the device has an injection device which is suitable and intended for injecting a preservative conveyed by the pump device into the beverage line. In a preferred embodiment, the injection device is arranged such that it enables injection of the preservative in a direction which encloses an angle of at least 10°, preferably of at least 20°, preferably of at least 30°, and preferably of at least 40° with a flow direction of the beverage.

[0030] In a further preferred embodiment, the injection device is heatable. In a further preferred embodiment, the injection device is heatable by an electrically operated heating device. A measuring device is preferably provided that determines a temperature of at least one region of the injection device.

[0031] In a further preferred embodiment, the injection device is designed such that swirling of the preservative is achieved in an injection area.

[0032] In a further preferred embodiment, a nozzle cross-section of the injection device is variable.

[0033] Preferably, the injection device that injects the preservative into the beverage is arranged in a curved section of the beverage line or injects the preservative into a curved section of the beverage line. In this way, the turbulence of the beverage occurring in this curved section can be utilized for injecting the preservative.

[0034] In a further advantageous embodiment, at least one measured value is selected from a group of measured values ​​which are characteristic of a pressure of the preservative, a temperature of the preservative, an outside temperature, a flow rate of the preservative, a fill level of the preservative (within a receptacle), the presence of a gas in the pump device, a pressure under which the preservative is conveyed into the beverage line, a temperature of the beverage, a temperature of an injection device by means of which the preservative is injected into the beverage line, and the like.

[0035] Particularly preferably, the device comprises a timing device and / or a timer. This makes it possible to store recorded measured values ​​together with a time value. Particularly preferably, the device comprises a timer that controls and / or triggers the storage of the measured values.

[0036] The invention is based on the idea that corresponding values ​​are recorded using a plurality of measuring devices, and these values ​​are preferably stored continuously and / or cyclically. In this case, online monitoring of the device can preferably be omitted, but data can be derived from the stored values ​​simultaneously, or even later if necessary.

[0037] Preferably, a measuring device is also provided, which detects a position of the pump device and / or an element of the pump device and / or a value characteristic of the operation of the pump device, for example, a position of the diaphragms or a valve position of valves of the pump device. Particularly preferably, this detection is time-dependent. This can be done, for example, via a position sensor; however, other data can also be evaluated, such as a torque or power of a drive device of the pump device, or corresponding currents and / or voltages.

[0038] In a further preferred embodiment, the device has at least three further measuring devices, preferably at least four further measuring devices and particularly preferably at least five further measuring devices, which preferably each determine at least one measured value characteristic of the operation of the device.

[0039] In a further preferred embodiment, the control device is suitable and intended to control the device by means of remote data transmission means. For example, it is possible for the device and in particular the pump device to be controlled from a location which is different from the operating location of the device, for example a location outside the operating premises of the device. The remote data transmission means can in particular be the Internet, via which the control takes place. The invention is based on the idea that corresponding values ​​are recorded using a large number of measuring devices and that these values ​​are preferably stored continuously and / or cyclically. In this case, online monitoring of the device can preferably be dispensed with, but data can be derived from the stored values ​​at the same time, or if necessary also at a later date.Based on these stored values, an operating model or dosage model for operating the device can also be created.

[0040] In a further preferred embodiment, the device is suitable and intended for detecting and / or recording alarm and / or error states, in particular with a temporal assignment. In particular, immediate recording is possible.

[0041] Preferably, other measured values ​​are also assigned to these alarm or error states. For example, additional measured values ​​can be assigned to a specific alarm or error state.

[0042] For example, if an error is detected at a time t1, further measured values ​​that occurred at that time can be recorded, such as a temperature of the preservative or the beverage.

[0043] In a further advantageous embodiment, the device and in particular the pump device is suitable and intended to record a plurality of machine and / or consumption data and preferably to store these.

[0044] Based on this large amount of data, it is preferably possible to control the device at least temporarily without continuous monitoring of the device.

[0045] Preferably, the device also comprises a detection device for detecting tampering, improper maintenance, replacement of original components with other components, and the like. For example, it can be detected if certain components of the device have been replaced with replacement components that do not meet the manufacturer's quality requirements. For example, these components could have an identification means, such as an RFID tag, that can be recognized by the device. More specifically, the manufacturer's original components can have such an identification means. If a component is inserted into the device that does not have such an (individual) identification means, the device can detect this.

[0046] In a further preferred embodiment, the device also comprises at least one detection device which is suitable and intended to detect a proper installation of components of the device.

[0047] In a further advantageous embodiment, the device has an assignment device that is suitable and intended for assigning to the device business data that is characteristic of this device. This can be data that is characteristic of the operating hours of this device, for example, but also data that is characteristic of the payment processes of the device, such as leasing rates or the like.

[0048] Preferably, there is the possibility to consider economic data such as violations of economic framework conditions. Preferably, the device can issue warnings,

[0049] Preferably, the control device can also take these data into account and initiate measures such as announcing or implementing a stop of the device.

[0050] In a further advantageous embodiment, the device has at least one detection device for detecting environmental data. This environmental data is preferably selected from a group of data that includes temperature, air pressure, air humidity, and the like. Accordingly, these detection devices are selected from a group of detection devices that includes pressure measuring devices, (air) humidity measuring devices, temperature measuring devices, and the like.

[0051] By taking this data into account, improved control of the device is possible, as such data also influences the device's operation. In addition, the creation of a system model for the device's operation can be improved by taking this data into account.

[0052] In a further preferred embodiment, the device has a detection device for detecting an operator's operating behavior. For example, it can be detected and / or stored when an operator of the device performed which operating action.

[0053] This allows us to determine whether the device is being or has been operated properly. For example, the type and time of operation can be recorded.

[0054] It is particularly preferred to assign a specific machine operation to a specific operator, for example by identifying himself.

[0055] This makes it possible to record individual operating errors of the device. The respective operator can be alerted to such errors.

[0056] These above-mentioned data or measured values ​​can be, for example, a consumption of the preservative per unit of time, a pressure in the pressure line in which the preservative is pumped from the pump device to the beverage line, or the like.

[0057] For example, it is possible to store the position of a mechanical element of the pumping device, the suction-side pressure of the preservative, the discharge-side pressure of the preservative, the temperature of the preservative, the fill level of a buffer vessel containing the preservative, the flow rate of the beverage, and possibly other data at a specific time. This data can be recorded, for example, as an n-tuples of related data.

[0058] In a preferred embodiment, the device has an interface, and in particular a data communication interface, which enables data communication with another control device and / or with another storage device. For example, a touch panel function with a memory size that allows storage of machine data at intervals of less than 20 seconds, preferably less than 10 seconds, preferably less than 5 seconds, and particularly preferably less than 2 seconds, can be provided.

[0059] Preferably, an interface, for example a USB interface (particularly preferably outside an equipment cabinet of the device) is provided, which also allows (manual) access to the stored data to persons who are not electronically instructed.

[0060] Preferably, the device has a control device which enables control of the device from a control center of the operator.

[0061] In a further preferred embodiment, the device, and in particular the pumping device, comprises a storage device suitable and intended for recording all important machine and consumption data and, preferably, storing them in a transmittable manner. Furthermore, the storage device is preferably also suitable and intended for recording alarm states, preferably all alarm states, and preferably for recording them in a transmittable manner.

[0062] In a further preferred embodiment, the pump device is a metering pump. Particularly preferably, the pump device is a diaphragm pump, although the use of a piston pump is also contemplated.

[0063] For example, if a specific measured value, such as a pressure reading on the pressure side, falls outside a specified tolerance range, this can be recorded, along with the corresponding time point. This enables subsequent error analysis and allows for predictions that point to a specific cause of the error.

[0064] In a preferred embodiment, a processor device is provided which, based on previously recorded and / or stored values, outputs at least one value characteristic of a forecast. For example, from a large number of recorded data, it can be determined that a certain pressure value of the pump device is continuously changing. This can be an indication of an impending failure of a specific machine component, and the user can be informed accordingly.

[0065] In this way, it is possible to detect a future failure of a device component (based on the data or measured values). Artificial intelligence (AI) can preferably be used for this purpose.

[0066] The above-mentioned evaluation device is particularly suitable and intended to retrieve a predetermined plurality of measured values, in particular stored on a non-volatile memory device (preferably in particular recorded by the measuring devices), and to process the retrieved plurality of measured values ​​or data derived therefrom using a, in particular trainable, simulation dosage model of machine learning, which comprises a set of, in particular trainable, parameters which are set to values ​​learned as a result of a training process.

[0067] In a preferred embodiment, the storage device allows repeated storage of data at time intervals of less than 5 seconds, preferably less than 2 seconds, preferably less than 1 second, preferably less than 500 ms, preferably less than 200 ms, and particularly preferably less than 100 ms. In this way, even rapidly changing conditions, such as those that occur during a pump cycle, can be recorded.

[0068] In a preferred embodiment, the device comprises a transmitting device which is suitable and intended to transmit the data recorded by the storage device to a further storage device.

[0069] For example, an IoT (Internet of Things) gateway can be provided, which is preferably integrated into the pumping device. This can be implemented, for example, as an electronic controller and / or circuit board. This IoT can be used, via a SIM card or other telecommunications connections, to allow the pumping device data recorded by the storage device to be transferred at specified intervals, for example, once a day, to another storage device or a higher-level process control system.

[0070] This transmission can be carried out, for example, via telephone connections or specially available IoT bandwidth. The additional storage device can also be a cloud or a central storage facility of the machine manufacturer. This enables the machine manufacturer to monitor devices located at other locations and, if necessary, provide information necessary for operation.

[0071] For example, by evaluating this data, a customer can be informed that certain components need to be replaced, such as valves, or the diaphragms of a diaphragm pump or the like.

[0072] It is possible that the transmission of this data is integrated into the pumping system's software and occurs automatically. It would also be possible for the data in question to be requested from a cloud storage device using a query device or to be triggered there.

[0073] Preferably, the above-mentioned storage device is suitable and intended to store a plurality of different values ​​characteristic of the device and / or its operation and / or the preservative. This storage preferably occurs together with a timestamp or a time.

[0074] The device preferably comprises a data reduction or data compression device that reduces the amount of stored data. For example, if measured values, such as temperatures, remain unchanged over a specified period of time, it would be possible to store only one temperature and a corresponding period of time during which this temperature remained constant.

[0075] From the recorded data, especially after transmission to a further storage device such as a cloud, unforeseen machine conditions can be detected, allowing proactive service actions to be initiated. For example, an alarm table can be evaluated (preferably continuously or cyclically). This can be done, for example, using defined alarm frequency thresholds.

[0076] In a particularly preferred embodiment, the memory device is suitable and intended to store data characteristic of a fault condition of the device. For example, the time of an error occurring, measured values ​​of this error, and the like can be recorded and / or stored.

[0077] For example, if a specific measured value, such as a pressure reading on the pressure side, falls outside a specified tolerance range, this can be recorded, along with the corresponding time point. This enables subsequent error analysis and allows for predictions that point to a specific cause of the error.

[0078] For example, an alarm is always triggered if the dosage of dimethyl dicarbonate is too low (underdosage alarm). This alarm can occur, for example, if incorrectly stored dimethyl dicarbonate was used, which shows signs of incipient decomposition, causing decomposition in the dosing pump or pumping device into carbon dioxide gas. The pumping device is then often only partially vented, and in this state, the dosage decreases. The underdosage can be detected, for example, using a flow meter or pressure gauge on the suction side.

[0079] If an accumulation of underdosage alarms is detected during automatic or manual analysis of data on a storage device (e.g., cloud storage), the beverage bottling plant (user) can be proactively contacted to alert them to this abnormal situation. A countermeasure could, for example, be replacing the dimethyl dicarbonate.

[0080] Deviations from the recorded machine data, especially the electrically monitored dosage, can also be used to deduce malfunctions of the machine.

[0081] Electronic readjustment can also be used to determine, from the curve in particular, changes in the dosing pump, for example wear of individual pump parts such as valves or the like.

[0082] In a further advantageous embodiment, the device has an operating device which enables user input, wherein this operating device preferably has a display device for displaying data and / or measured values, wherein these measured values ​​are preferably characteristic of the device and / or the operation of the device.

[0083] For example, a touch panel function can be provided, which preferably has a memory device or memory size that allows machine or operating data to be stored at intervals. These intervals are particularly preferably less than 20 seconds, preferably less than 10 seconds, preferably less than 5 seconds, and preferably less than 2 seconds.

[0084] However, it would also be possible to record data, or a small number of data points, at even shorter time intervals. For example, suction-side and discharge-side pressure values ​​of the pumping system could be recorded over a short period of time and at short intervals, for example, to monitor one or more pumping cycles of the pumping system.

[0085] For example, it is possible to check how a pump's control affects the corresponding pressure values. This data can be transmitted repeatedly, for example, once a day or once a week. This makes it possible to determine how the pump's flow behavior changes over time depending on its control. This can, for example, provide the user with information about whether and, if so, which pump components need to be replaced soon.

[0086] In a further advantageous embodiment, the device has a further communications interface which enables the transmission of data to a storage device external to the device or to an external device. This interface can thus be an automated interface which, for example, transmits a large amount of data to the higher-level storage device once a day. It is also possible for the data to be evaluated and, if necessary, discrepancies between consumption and sales figures to be identified. With the invention, an automated plausibility check of the contractually agreed conditions can be carried out to ensure that only the cold disinfectant Velcorin provided by the machine manufacturer is used.

[0087] If any deviation is detected, a corresponding notification could be issued, for example in the form of a pop-up window on the dosing device's touchscreen, indicating incorrect operation or possible malfunction, with a request to contact the responsible sales staff of the Velcorin distributor. Furthermore, an automated notification (SMS, email, etc.) could be sent to the responsible Velcorin sales partners informing them of any abnormalities with the respective dosing device.

[0088] In a further preferred embodiment, the device has a position detection device which is suitable and intended for detecting a position of the device and / or pump device. For example, the device can have a GPS module. It is possible and preferred for this position detection device to be permanently integrated into the device. This position detection device is preferably integrated into the device in such a way that removal of this position detection device is not possible without interfering with the device and preferably also not without damaging the device. In this way, the theft protection of the device can be increased.

[0089] In a further advantageous embodiment, the control device is suitable and intended to control the device depending on a detected position of the device. For example, it is possible for the control device to deactivate the pump device if it is determined that the device or the pump device is located outside a predetermined geometric range.

[0090] In a further preferred embodiment, the device has a power source for supplying the position detection device. Thus, the position detection device can preferably also be operated when the pump device is disconnected from a power supply. In this embodiment, the invention preferably provides that the location of the device or the dosing devices is determined at least temporarily and preferably continuously using an online-linked technology with a GPS module (e.g., IoT gateway, SIM card, etc.) and transferred to the stored data storage (this can be a cloud or another storage location).

[0091] In the best case scenario, this could result in an alarm being triggered as soon as a change in the location of a dosing device is detected, for example, being sent to the responsible sales staff so that the case can be investigated and thus ensured that contractually agreed installation locations are not changed without consent or that, for example, dosing devices owned by customers of the machine manufacturer are not sold, which would pose a potential risk that a new customer might not use the respective dosing device as intended, according to the manual, with Velcorin. This can also improve theft protection.

[0092] Furthermore, the position detection device, for example, a GPS detection of the device or dosing devices, preferably serves for global system management. Another option considered within the scope of the invention is so-called geo-fencing. This function can provide for an alarm and remote shutdown / deactivation of the system when a device or dosing device leaves a defined radius of the last stored GPS coordinates.

[0093] In a further preferred embodiment, the device has a data transmission device which transmits recorded data to a storage device at predetermined and in particular adjustable intervals.

[0094] The invention is preferably designed so that an internal device of the device, for example with internal software of the device, establishes a connection to the stored storage location of all recorded data (e.g. cloud server) at predetermined intervals, for example every 24 hours, preferably every 12 hours, preferably every 6 hours, preferably every 1 hour, and preferably verifies itself there. During the verification process, critical values ​​such as the GPS signal, the power supply or interruptions, and all other system parameters for the internal and external control of the system can be queried. If verification with the cloud server is not carried out, the internal software can notify the system operator of this with a corresponding pop-up window on the TPC of the dosing device, and a countdown until deactivation is displayed.This defined time window can give the system operator the opportunity to inform the respective authorized service partner before the software deactivates the system in order to prevent potential improper handling of the dosing devices or technical defects.

[0095] The purpose of automated monitoring and remote control is to ensure plant safety, operational safety, preventive maintenance, compliance with contractual provisions, and the safety of service technicians who carry out regular maintenance, repairs, and inspections on the dosing devices.

[0096] Thus, within the scope of the invention, it is possible that if certain defined threshold values ​​(beverage temperature, Velcorin dosage, maintenance intervals, number of critical alarms in a defined time window, etc.) are repeatedly and continuously exceeded or undershot, the dosing devices can be deactivated remotely via online access.

[0097] One aim of the invention is to enable remote access to the vital functions of dosing devices to prevent accidents involving personal injury and property damage that could be caused by improper operation of the dosing devices. Furthermore, it aims to prevent economic losses and regressions associated with improperly treated beverages containing Velcorin that could reach the market.

[0098] Furthermore, remote deactivation can be used if Velcorin customers have not paid for goods already delivered and the payment deadline has been exceeded. If equipment owned by the machine manufacturer is illegally sold or retained, the equipment can also be deactivated.

[0099] The collection of excessive data volumes can also have an impact on remote-supported intervention. Such information would also be subject to an automated plausibility check and could potentially indicate hacker or third-party access to a possible IoT gateway or the software in general. The scope of the invention also provides for a gradation of the various notification and deactivation levels. Depending on the classification of the risk potential or the severity of a potential contractual violation and for the protection of intellectual property, a possible cascading of deactivation can range from a simple notification to the notification of specific groups of people, for example, via a threatened deactivation with a countdown, to an immediate deactivation of the system, or even to the destruction of the software on the circuit boards and the TPC.

[0100] Feedback on operating behavior is also within the scope of the invention. For example, voluntary training courses or mandatory refresher courses can be offered if data analysis reveals repeated misuse of the devices.

[0101] Also within the scope of the invention is the use of not only data from a single dosing pump for circular feedback, but also evaluations from a larger number of devices (big data). Thus, a global evaluation can result in actions to determine which regions require more intensive customer service support and which regions could potentially reduce the service intensity.

[0102] This could be achieved, for example, by analyzing alarm frequencies. Alternatively, customer service and maintenance offerings could be improved globally. For example, spare parts could be stored locally for faster availability, or local price reductions could be introduced for spare parts that are more important regionally.

[0103] Also within the scope of the invention are consumption forecasts, for example from data during global events, in order to achieve better product availability.

[0104] The present invention is further directed to a method for preserving beverages. A measuring device determines, at least temporarily and preferably continuously, a flow rate of a liquid, in particular a beverage, flowing through a beverage line, and a pumping device delivers a preservative, in particular dialkyl dicarbonates, into the beverage line. Furthermore, at least two further measuring devices determine at least two further characteristic measured values ​​for the operation of the device, and a control device controls the pumping device. These are preferably different measured values ​​and, in particular, measured values ​​that are characteristic of two different properties.

[0105] According to the invention, the device has a storage device which repeatedly stores at least the further characteristic measured values ​​and the control device controls the pump device as a function of at least one of the stored measured values ​​and preferably as a function of both measured values ​​and particularly preferably several of the stored measured values.

[0106] In a preferred method, online monitoring of the device is not carried out at least temporarily.

[0107] Preferably, the control device of the pump device also controls, at least temporarily, in dependence on the measured flow rate.

[0108] In a further preferred method, a machine model or dosage model is generated for controlling the device and / or the pump device, wherein at least a portion of the recorded measured values ​​is preferably used to generate this dosage model.

[0109] Preferably, the dosage model is generated using artificial intelligence.

[0110] Preferably, measured values ​​of several devices and / or several pumping devices of the type described above are used to generate the model.

[0111] In a further preferred method, alarm and / or error states of the device and / or the pumping device are detected, and preferably data and / or measured values ​​characteristic of these alarm and error states are recorded. If, for example, an error state occurs at a time t1, further measured values ​​that occurred at this time are recorded, for example a pressure p(t1). An error state is, in particular, a state in which one or more recorded measured values ​​lie outside of predefined tolerance windows. An alarm state is preferably a state in which a detected error is so serious that a user must be informed of this error state and, if necessary, intervene in the operation of the device.

[0112] When such error conditions occur, the times and / or durations at which these error conditions occurred are preferably also recorded. In addition, when error conditions occur, a large number of measured values ​​that occurred at this time are preferably also recorded and preferably also stored.

[0113] Preferably, all measured values ​​are recorded and saved.

[0114] In another preferred method, the device is remotely controlled at least temporarily. For example, a control device can be provided that is not located at the location of the device, but at a remote location. Remote control is preferably carried out via the Internet.

[0115] According to the invention, the device comprises a storage device that stores the further characteristic measured value, in particular repeatedly. This is preferably a storage device that stores the measured value over a longer period of time (in contrast to, for example, a volatile memory), in particular a period of time greater than 1 second, preferably greater than 10 seconds, preferably greater than 1 minute, preferably greater than 10 minutes, and particularly preferably greater than 1 hour.

[0116] In a further method according to the invention, an evaluation device evaluates the above-mentioned measured value(s), in particular using artificial intelligence (K1). This embodiment can be carried out alternatively or cumulatively to the above-mentioned storage of data. Preferably, the evaluation is carried out using a model and in particular a simulation model and in particular a simulation dosage model. This model can take into account dependencies between the individual measured values ​​and a specific controlled variable, such as a pump output. Particularly preferably, the measured values ​​are stored with a temporal assignment, ie in particular together with a time value characteristic of the time of their occurrence.

[0117] Preferably, a plurality of measurement values ​​characteristic of the operation are recorded by means of a plurality of measuring devices (and / or sensor devices), and the storage device preferably stores these measurement values ​​repeatedly and / or cyclically. For example, several measurement values ​​or a set of measurement values ​​can be recorded at many different points in time, for example, more than 10, preferably more than 20, preferably more than 50, preferably more than 100, and preferably more than 500 different points in time.

[0118] Preferably, an n-tuple of measured values ​​is stored in this way. Particularly preferably, storage occurs at intervals of less than 1 minute, preferably less than 30 seconds, preferably less than 20 seconds, preferably less than 10 seconds, preferably less than 5 seconds, and preferably less than 2 seconds. This allows for very precise observation of the device, both over longer periods and over shorter periods, and thus with greater accuracy.

[0119] Preferably, the interval at which measured values ​​are recorded and stored is variable. The user can specify the appropriate time intervals. However, it would also be possible for the device to change the time intervals. For example, it would be possible to shorten a time interval if one or more measuring devices produce atypical measured values.

[0120] Preferably, a plurality of stored measured values ​​are transferred to a storage device. For example, it is possible that on a given day, a number of n data sets, such as 1,000, 2,000, or 3,000 data sets, were recorded, with the aforementioned measured values ​​being recorded at different times.

[0121] In a further preferred method, the device is controlled and, in particular, readjusted based on the recorded measured values. This makes it possible for the control and / or regulation to be carried out with reference to and / or taking into account the recorded measured values. In this way, the measuring device(s) can be integrated into a control loop for controlling the pump device.

[0122] This complete data set can be transferred to another storage device, such as a cloud, for example, once a day. From this multitude of data, operating data for the machine can be derived, or, if necessary, forecasts can be made. For example, from this multitude of data, it can be determined that a certain pressure value has been continuously decreasing. Countermeasures can then be derived from this, such as replacing the preservative. It is preferable for this transfer of the multitude of data sets to be wireless.

[0123] In a preferred method, data characteristic of device error states are recorded and / or stored. For example, alarm states can occur if certain measuring devices fail. Alarm states can also occur or be recorded if it is determined that too little preservative is being added to the beverage. This would also make it possible to store corresponding alarm states at a specific time.

[0124] By observing these error states, it is possible to determine, for example, that the frequency of a particular error state changes over time. This, in turn, can also provide insights into the operation of the device.

[0125] Particularly preferred is a display device that directly outputs values ​​to a user. These may, for example, be measured pressure values ​​or the like, or the output of alarms when certain error conditions occur.

[0126] Surprisingly, the invention discovered that it is still possible to support users with virtually all the advantages of true online monitoring, using significantly simpler components and controls. Electronic readjustment can also be used to derive a change in the pumping device or dosing pump from the process, and especially from changes in the process.

[0127] A further advantage of the invention is that the regular transmission of machine and consumption data from the dosing pump provides the beverage bottling plant with an additional security feature in the event of a possible loss of consumption data. For example, due to an electronic defect or, for example, an overvoltage event in the production system, the software or hardware of the dosing pump may be damaged, making it impossible to retrieve the data locally on the dosing pump, even via the USB port.

[0128] Through the continuous additional data storage, which is sent to the cloud storage, for example, via an IoT gateway, it is still possible to record a history up to the time the damage occurred and to retrieve this data when needed.

[0129] Furthermore, it was surprisingly discovered that the correlation between the outside temperature and the dosage correction factor allows for a reliable diagnostic statement about the condition of the dosing pump. It was found that for each dosing pump, a fixed correlation between the dosage correction and a given temperature exists. If the dosage correction changes significantly at the respective temperature compared to the previously transmitted values, the probability of imminent mechanical damage is increased.

[0130] Furthermore, operating errors can be detected, for example, if the preservative is not changed in a timely manner and / or a downtime alarm is triggered. This data can then be used to proactively offer and deliver training to operators.

[0131] Furthermore, new parameters can be derived to monitor correct production processes. For example, the additional monitoring of beverage temperature and density makes it possible to check the Brix setting in addition to, or in addition to, the analytical evaluation in the laboratory, and to store this as a necessary criterion for approval through a software setting.

[0132] Furthermore, the effectiveness of the CIP (cleaning in place) process can be monitored by measuring the temperature and its time profile in the flowmeter. A temperature and time query can be used to determine whether the cleaning and disinfection process will be sufficient. Depending on the level of safety achieved, the preset amount of dialkyl dicarbonate can then be automatically increased or reduced. Alternatively, the amount of dialkyl dicarbonate can be kept constant but the operator can be guided to the hygiene situation via a query on the dosing pump, particularly with the option of manual adjustment.

[0133] Dimethyl dicarbonate is particularly preferably used as the dialkyl dicarbonate; even more preferably, dimethyl dicarbonate with a purity of >99.8% is used as the dialkyl dicarbonate. In a further embodiment of the invention, dimethyl dicarbonate is used that has been stabilized by suitable processes.

[0134] Such processes, such as the use of a phosphorus compound from the series of phosphorus oxides, phosphorus-oxygen acids and their derivatives, are known, for example, from EP 2 013 160 B1. EP 2 016 041 B1 describes the use of at least one protonic acid from the series of inorganic acids and organic carboxylic acids and their derivatives, where the organic carboxylic acids are saturated and mono- or polyunsaturated aliphatic monocarboxylic acids and saturated and mono- or polyunsaturated aliphatic di- and polycarboxylic acids and their derivatives are hydroxamic acids, hydroxycarboxylic acids, aldehyde and keto acids, for stabilizing dialkyl dicarbonates against chemical and thermal degradation reactions, where the protonic acid or mixtures thereof are used in an amount of 0.01 to 100 000 ppm, preferably between 0.1 to 10 000 ppm, based on dialkyl dicarbonates or mixtures thereof.

[0135] In a further embodiment of the invention, dimethyl dicarbonate is used in a mixture with phosphorus compounds, such as preferably phosphates, even more preferably with trimethyl phosphate or phosphoric acid. The phosphorus compound is preferably used in an amount between 0.01 ppm and 1000 ppm, preferably 0.1 ppm and 100 ppm, based on the total amount of the mixture of dimethyl dicarbonate and phosphorus compounds.

[0136] In a further preferred method, at least one statistical forecast value (such as a specification of a dosage size) is determined by processing and / or evaluating the plurality of measured values ​​or data derived therefrom, as well as optionally further additional method steps (in particular computer-implemented method steps). In particular, the dosage size relates to the preservative to be dosed into the beverage line.

[0137] Preferably, a plurality of measured values, in particular from different measuring devices, is used. Thus, preferably more than two, preferably more than three, and particularly preferably more than four measuring devices are provided, whose measured values ​​are evaluated. These are preferably measured values ​​that are characteristic of different state variables, such as flow rates, pressures, temperatures, pump performance, etc.

[0138] Preferably, the (recorded and / or stored) measured values ​​are time-resolved measured values, for example, measured values ​​recorded over a specified period of time. Preferably, a large number of different measured values ​​are recorded and / or stored over a specified period of time.

[0139] The evaluation device processes the retrieved (predetermined) plurality of measured values ​​or data derived therefrom using a machine learning simulation dosage model, in particular a trainable one, which comprises a set of parameters, in particular trainable ones, which are set to values ​​learned as a result of a training process. Preferably, the at least one statistical prognostic dosage is determined by this and / or on the basis of this processing (preferably in a computer-implemented method step, in particular by the evaluation device).

[0140] In a preferred method, training data is used in the training process of the dosage model, which includes historically recorded data, in particular for limit values ​​and / or states, limit values ​​for repeated achievement of limit values ​​and / or states, limit values ​​for a temporal change and / or a rate of change of values ​​characterizing the current state, statistical limit values ​​and / or states of pump devices and / or dosage devices in general that are different from the pump device (and / or the device) (but preferably of identical construction). This offers the advantage that a large amount of training data can be generated in a short time and any malfunctions of the pump device and / or the device as a whole can be detected.

[0141] Preferably, by processing measured values ​​using the simulation dosage model, at least one dosage-relevant variable, and preferably a plurality of dosage-relevant variables, are determined. This relevant variable can be, for example, a (preferably also time-dependent) pump output of the pump device.

[0142] Preferably, the at least one quantity characteristic of the dosage, and preferably the plurality of quantities characteristic of the dosage, are determined from the measured values ​​or data derived therefrom using a processor device and / or data processing device (using the simulation dosage model) by applying at least one (computer-implemented) pattern recognition method and / or feature extraction method and / or feature reduction method. Pattern recognition is understood here, in particular, to mean the recognition of a time-dependent course of measured values ​​or their development and / or change over time.

[0143] Preferably, the determination of the at least one dosage quantity and / or preferably the processing of the (retrieved and in particular predefined) plurality of measured values ​​or data derived therefrom (using the machine learning simulation dosage model) is based on an (artificial) neural network and in particular on a (computer-implemented) machine learning method based on at least one, and in particular precisely one, (artificial) neural network. Preferably, the machine learning simulation dosage model is based on an (artificial) neural network. Preferably, the neural network is designed as a deep neural network (DNN), in which the parameterizable processing chain has a plurality of processing layers, and / or a so-called convolutional neural network (CNN) and / or a recurrent neural network (RNN).

[0144] Preferably, the data (to be processed), in particular the measured values ​​(and / or data derived therefrom), are fed to the simulation dosage model or the (artificial) neural network as input variables. Preferably, the simulation dosage model or the artificial neural network maps the input variables to output variables depending on a parameterizable processing chain, with the dosage variables (such as pump output) preferably being selected as the output variable.

[0145] Preferably, at least one manipulated variable for controlling and / or regulating the dosing process (of the pump device), preferably a variable characteristic of the pump device, is selected as the output variable.

[0146] Preferably, at least one manipulated variable for controlling and / or regulating the dosing process (of the pump device), preferably a variable characteristic of a pump output, is selected as the output variable for each pump device.

[0147] Preferably, the machine learning simulation dosage model or the artificial neural network is trained using predefined training data, with the configurable processing chain preferably being parameterized during the training. Preferably, measured values ​​acquired by the measuring device(s) of the device (or data derived therefrom) are used as training data. This offers the advantage that the simulation dosage model or the artificial neural network can be specifically adapted to the conditions of the specific dosage device.

[0148] It is also conceivable, however, that measured values ​​recorded by a measuring device (at least) another, preferably identical, device (preferably from the same manufacturer) are used as training data. This offers the advantage that a large number of measured values ​​can be provided and used. It is also conceivable, however, that measured values ​​or data generated (exclusively or partially) synthetically or via data augmentation are used as training data. This offers the advantage that, for example, rarely occurring classes of operating states can be simulated and the machine learning model can be trained with them.

[0149] The training process can be carried out locally (at the device) and / or centrally and / or locally independently and / or on an external server in relation to the dosing device.

[0150] Preferably, a neural network trained in this way is used (in the context of and / or as a simulation dosage model). Training is preferably carried out using supervised learning. However, it would also be possible to train the simulation dosage model or the artificial neural network using unsupervised learning, reinforcement learning, or stochastic learning.

[0151] Preferably, the simulation dosage model is stored on a storage device (particularly described in more detail above), preferably external to the device. Preferably, the device can access this external storage device and, in particular, process the (predetermined) plurality of measured values ​​by accessing it.

[0152] The non-volatile storage device is preferably an external storage device, in particular a cloud-based storage device and / or an external server (including the storage device), wherein the storage device is accessed in particular via the Internet (and / or via a public and / or private network, in particular a wired and / or wireless network at least in sections). An external server is understood in particular to mean a server external to the device, in particular a backend server.

[0153] The external server is, for example, a backend, in particular of a dosing device manufacturer or a service provider, which is configured to manage measured values ​​(in particular of a plurality of measuring devices and / or a plurality of devices (in particular according to the invention). The functions of the backend or the external server can be performed on (external) server farms. The (external) server can be a distributed system.

[0154] These external storage devices are preferably capable of making the stored data and / or their evaluations available to the machine from the external storage device. The evaluation of measured values ​​described here makes it possible to create forecasts for the operation of the device. For example, a prediction can be derived from a specific trend of certain measured values ​​that a specific component of the device will soon fail. In this way, the user can be proactively instructed to perform a specific maintenance task or replace a specific component.

[0155] The evaluation can also lead to the conclusion that the pump system is insufficiently vented from certain measured values, such as pressure values. In this way, the evaluation system can replicate the experience of a machine operator, who can use this experience to deduce other sources of error from the behavior of certain measured values.

[0156] An evaluation device, and in particular a class, could derive predictions from large amounts of data. For example, if a specific error occurs, other measured values ​​could also be taken into account, or it could be checked whether these had already changed prior to the error. In this way, the class can use its "experience" to provide clues about a future error when certain changes in the measured values ​​occur. In this case, the class replicates the experience of the machine operator.

[0157] As mentioned above, the machine data from many similar machines could also be stored and evaluated. This allows the evaluation device or the control unit to learn whether and how the machine locations and their ambient conditions affect machine operation. Furthermore, the evaluation could also take different beverages into account.

[0158] As mentioned above, it is preferable to create a virtual machine (the simulation) that simulates the operation of the actual machine and can work with the data obtained in real life. In this case, the AI ​​can contribute to the continuous improvement of the system.

[0159] In a further preferred method, the control device controls the pump device using at least one first physical parameter which is characteristic of ambient conditions at an operating location of the plant and / or using at least one second physical parameter which is characteristic of a physical property of the beverage to be preserved.

[0160] Preferably, at least one of these physical parameters is determined and, on the basis of this parameter, an operating recipe is determined independently of the device, by means of which the control device controls the pump device.

[0161] Preferably, this operating recipe is determined at least at a location different from the operating site. For example, it would be possible for the aforementioned physical parameters to be determined at the operating site and, based on these parameters, the corresponding operating recipes to be determined at another location, such as the plant's manufacturing site. It would be possible for a large number of sensors to be located at the operating site, for example, in a customer's production hall, to measure environmental conditions. This data can then be transmitted to the machine manufacturer, where it is preferably analyzed.

[0162] In another preferred method, operating conditions are simulated and / or created based on the at least one physical parameter at the location different from the operating location, which are adapted to the ambient conditions at the operating location. For example, it is possible to use a climate chamber at the manufacturing site in which the ambient conditions of the operating location are simulated or daily profiles or entire long-term profiles are recreated. For example, a daily temperature can be measured at the operating location, and this operating temperature can be recreated in a test environment.

[0163] Determining the operating recipe independently of the device means, in particular, that this determination is carried out independently of the system in terms of time and / or location, in particular at a different location. In particular, it is irrelevant for the determination of the operating recipe whether the system is currently in operation or not. In other words, the determination of the operating recipe does not depend on the current state of the device.

[0164] It is therefore proposed that appropriate operating recipes for operating the device and / or the pumping device be determined and, in particular, on-site conditions of the device and in particular of the pumping device and / or conditions which are characteristic of the operation of the device at its place of operation are taken into account, such as, in particular but not exclusively, climatic conditions at the place of operation or liquid-specific conditions (e.g. the type of beverage to be preserved).

[0165] A preferred option is therefore proposed for taking the aforementioned influences into account before operation or commissioning. The term “before commissioning” in this context means that an operating recipe obtained using this method is already taken into account during manufacture or assembly of the device, for example, it is transferred to the control device. The advantage is that at least a rough parameterization can be specified. A further advantage is that the device can “start up” at the customer’s site at least with reduced performance / quality and then fine-tuning can be carried out, for example by specialists from the manufacturer. These specialists therefore no longer have to wait until all mechanical and electrical deficiencies have been remedied, but can arrive just in time.

[0166] In a further preferred method, the operating recipe contains at least one operating parameter, preferably a plurality of operating parameters. Operating parameters are understood to be parameters that are relevant to the preservation of beverages or that are specified. These operating parameters are advantageously selected from a group of operating parameters that includes a flow rate of the preservative, a pressure of the preservative, a temperature of the preservative during injection, a flow rate of the beverage to be preserved, a temperature of the beverage to be preserved, and the like. Further advantages and embodiments can be found in the accompanying drawings.

[0167] Showing:

[0168] Fig. 1 is a schematic representation of a device according to the invention;

[0169] Fig. 2 is a diagram illustrating data storage;

[0170] Fig. 3 shows a representation of collected data.

[0171] Fig. 1 shows a schematic representation of a device 1 according to the invention. It is pointed out that the embodiment shown here is exemplary, in particular with regard to the sensors or measuring device shown, and that, depending on the embodiment, other sensors or locations for the sensors can be provided.

[0172] In Fig. 1, reference numeral 10 designates a liquid line and in particular a beverage line in which the liquid or beverage is conveyed to a container 20.

[0173] The reference numeral 3 denotes a measuring device such as in particular but not exclusively a flow sensor, which is suitable and intended to determine the flow rate of the beverage flowing through the liquid line 10.

[0174] Reference numeral 4 denotes a pump device, which serves to supply a preservative to the beverage via a supply line, in particular a pressure line 6, and a nozzle 10a. This pump device 4 is controlled by a control device 14. This nozzle 10a is preferably temperature-controlled and, in particular, heatable. Furthermore, a temperature measuring device (not shown) can be provided for determining the temperature of the nozzle.

[0175] The measuring device 3 transmits to the control device 14 a value that is characteristic of the flow rate of the liquid flowing through the liquid line 10, and the control device 14 controls the pump device 4 taking this value into account. Reference numeral 8 denotes a first receptacle, which serves to hold the liquid preservative. This receptacle is preferably replaceable and is preferably designed without a sensor device. Reference numeral 32 denotes a removal device, which is suitable and intended for removing the liquid from the receptacle 8. This removal device is preferably designed as a hollow lance, which sucks the preservative out of the receptacle.

[0176] The reference numeral 45 denotes a sensor and in particular a pressure sensor, which in an advantageous embodiment is arranged at a lower end of the removal device.

[0177] Preservative removed from the receiving container 8 is fed (preferably using a pump device 27) via a connecting line 26 (shown only schematically) to a further receiving container 18, which is designed here as a buffer container.

[0178] The pump device 4 can extract the preservative from the buffer container 18 via a connecting line 34. The buffer container 18 allows the device 1 to continue operating even during periods in which the receiving container 8 is replaced.

[0179] In a preferred embodiment, at least one first pressure sensor 22 and preferably two pressure sensors 22, 24 are arranged at the bottom of the buffer container. Using this pressure sensor 22, the pressure of the liquid within the buffer container 18 can be determined, thus allowing conclusions to be drawn about the liquid level in the buffer container.

[0180] In an alternative embodiment, or additionally, a pressure sensor or preferably two pressure sensors 52, 54 can also be provided on the connecting line. The measured values ​​output by these pressure sensors 52, 54 can also be used (additionally or alternatively) to determine the flow of liquid through the connecting line 34 and thus the delivery rate. Reference numeral 56 denotes a fill level sensor that determines the fill level of the preservative within the receptacle 18. The data measured by this fill level sensor is used, in particular, to verify the values ​​output by the pressure sensors.

[0181] Reference numerals 62 and 64 denote further pressure sensors that are arranged in the pressure line 6 in addition to or as an alternative to the sensors described above. This can also be used to determine the flow rate of the preservative supplied to the beverage line 10.

[0182] In addition, these pressure sensors can also be used to check whether the preservative is supplied to the liquid line with sufficient pressure or at a pressure within specified limits.

[0183] The individual measured values ​​of the sensors are preferably fed to the control device 14 and this controls and in particular regulates the pump device on the basis of these measured values.

[0184] The pump device preferably also has at least one sensor device 42 and preferably a plurality of sensor devices 42, 44. These can be, for example, position sensors that determine the position of specific pump elements. In addition, they can also be current or voltage sensors that determine values ​​characteristic of the operation of the pump device, or the like.

[0185] The values ​​of these sensor devices are also preferably fed to the control device 14 for controlling and / or regulating the pump device 4.

[0186] Reference numeral 30 denotes a display and / or operating device for operating the device. This display and / or operating device 30 is preferably suitable and intended to output information that is important for the operation of the device, such as measured pressures or the like. In addition, user inputs can preferably be made via this display and / or operating device 30. A fill level indicator and / or pressure indicator and / or flow rate indicator can be visualized directly on a touch panel (of the display and / or operating device 30). This makes it possible to notify the operator of bottle changes in a timely manner.

[0187] Reference numeral 15 denotes a memory device suitable and intended for storing measured values. This memory device can be integrated into the control device.

[0188] The reference numeral 17 denotes a timer device which specifies a time value with which different measured values ​​are stored in the memory device 15.

[0189] The reference number 19 denotes an interface by means of which the stored data can be read out, for example by means of a USB stick.

[0190] The reference numeral 13 denotes a transmitting device by means of which stored data can be sent to a further storage device 50, such as a cloud storage.

[0191] Reference numeral 72 denotes a position detection device, which serves to detect a (geographical) position of the device or to contribute to detecting the device. This position detection device is preferably permanently connected to the device and / or the pump device. Preferably, the position of the device 1 can also be queried remotely.

[0192] The reference numeral 58 denotes a dosage model generation device which is suitable and intended to create a dosage model of the device on the basis of predetermined values, in particular the measured values ​​of the device or on the basis of already existing data.

[0193] Reference numeral 59 denotes an allocation device that assigns business data to the device 1, such as data that is characteristic for contract processing with this device. Reference numeral 70 denotes a further (external) control device that serves to control the device. This further control device allows remote control of the device. This further control device can, in particular, remotely control the device.

[0194] Preferably, both of the aforementioned control devices control the device. However, it is also possible for one of the two control devices, and in particular the additional control device 70, to be given priority and to be able to take over control of the device at least with regard to some processes. Thus, it is preferably possible for the additional control device to take over the shutdown of the device 1 (for example, in emergency situations).

[0195] The device preferably has a display device that allows measured values, operating states, or the like to be displayed at a location remote from the device, for example, at a location of the manufacturer of the device 1. For example, it is possible to output such data via an operator's mobile device. The display device is preferably a mobile display device.

[0196] Reference numeral 66 denotes a further measuring device suitable and intended for recording environmental data. This environmental data can, in particular, be a temperature, pressure, or humidity at the installation location of the device 1. This environmental data can also be used by the control device 14 or the control device 70 to control the device 1.

[0197] Reference numeral 67 denotes a further recording device that records the operating behavior of one or more operators of the device 1. For example, control commands entered via an input device can be recorded. It is also possible, for example, to log when or how often preservative changes were performed.

[0198] Fig. 2 illustrates the procedure for saving data. Five measuring devices 3, 22, 24, 42, and 42 are shown as examples, each outputting measured values ​​that are characteristic of different properties of the device. Reference symbol T denotes a timer. This can trigger the measured value acquisition and / or add a time value to the measured value acquisition.

[0199] The memory device stores an n-tuple, in this case a 6-tuple, of five measured values ​​M1(t1), M2(t1), M3(t1), M4(t1), and M5(t1) measured at a specific time t1. The time value t1 is also recorded.

[0200] Preferably, the measured values ​​M1 - M5 are assigned to the individual measuring devices mentioned above.

[0201] This storage is repeated, preferably cyclically. In this way, a large number of value tuples are recorded at different times. These values ​​are stored in the storage device 15.

[0202] Fig. 3 shows a compilation of a large number of measured values. Furthermore, error states are also recorded, which are schematically indicated here by two exclamation marks. At the same time, the measuring device that delivered the faulty measured value is identified: namely, at time t3, measuring device 22, which delivered measured value M2, and at time t5, measuring device 42, which delivered measured value M4.

[0203] This data can provide insights into the system, such as the condition of the preservative or the device's technical components. For example, if erroneous readings from measuring devices 42 and 44 occur frequently, this could be an indication that components of pump device 4, such as valves, are worn and need to be replaced soon.

[0204] If the measuring device 3 delivers significantly different measured values, this could indicate a fault in the higher-level beverage filling system.

[0205] The applicant reserves the right to claim all features disclosed in the application documents as essential to the invention, provided they are novel, individually or in combination, over the prior art. It is further noted that the individual figures also describe features that may be advantageous in and of themselves. The skilled person will immediately recognize that a specific feature described in a figure may be advantageous even without adopting further features from that figure. Furthermore, the skilled person will recognize that advantages may also arise from a combination of several features shown in individual or different figures.

Claims

Patent claims 1. Device (1) for preserving beverages with a measuring device (3) which is suitable and intended to determine a flow rate of a liquid flowing through a beverage line (10), and with a pump device (4) which conveys a preservative, in particular dialkyl dicarbonates, into the beverage line (10), and with at least two further measuring devices (22, 24, 42, 44) which determine at least two further characteristic measured values (M2, M3, M4, M5) which are necessary for the operation of the device (1), the device (1) having a control device (14) for controlling the pump device (4), characterized in that the device has a storage device (15) which enables repeated storage of at least the further characteristic measured values and the control device (14) is suitable and intended to control the pump device as a function of.to control at least one of the stored measured values.

2. Device (1) according to claim 1, characterized in that the device has at least three further measuring devices, preferably at least four further measuring devices and particularly preferably at least five further measuring devices, which each determine at least one measured value (M2, M3, M4, M5) characteristic of the operation of the device.

3. Device (1) according to at least one of the preceding claims, characterized in that the control device is suitable and intended to control the device (1) by means of remote data transmission means.

4. Device (1) according to at least one of the preceding claims, characterized in that the device (1) has a position detection device which is suitable and intended to detect a position of the device (1).

5. Device (1) according to the preceding claim, characterized in that the control device is suitable and intended to control the device in dependence on a detected position of the device.

6. Device (1) according to at least one of the preceding claims, characterized in that the device (1) is suitable and intended to detect and / or record alarm and / or error states.

7. Device (1) according to at least one of the preceding claims, characterized in that the device (1) and in particular the pump device is suitable and intended to record a plurality of machine and / or consumption data and preferably to store these.

8. Device (1) according to at least one of the preceding claims, characterized in that the device (1) has at least one detection device for detecting environmental data.

9. Device (1) according to at least one of the preceding claims, characterized in that the device (1) has a detection device for detecting an operating behavior of an operator.

10. Device (1) according to at least one of the preceding claims, characterized in that the device (1) comprises an evaluation device for evaluating the measured values. points.

11. Device (1) according to at least one of the preceding claims, characterized in that the device (1) has a model generation device which generates a machine model characteristic of the device on the basis of a plurality of measured values.

12. Device (1) according to at least one of the preceding claims, characterized in that the device (1) has an artificial intelligence by means of which the device is controlled.

13. A method for preserving beverages, wherein a measuring device (3) determines a flow rate of a liquid flowing through a beverage line (10), and a pump device (4) delivers a preservative, in particular dialkyl dicarbonates, into the beverage line (10), and wherein at least two further measuring devices (22, 24, 42, 44) determine at least two further characteristic measured values (M2, M3, M4, M5) for the operation of the device, and wherein a control device (14) controls the pump device (4), characterized in that the device has a storage device (15) which repeatedly stores at least the further characteristic measured values, and the control device (14) controls the pump device depending on at least one of the stored measured values.

14. Method according to the preceding claim, characterized in that Alarm and / or error states are recorded and, preferably, data and / or measured values characteristic of these alarm and error states are recorded.

15. Method according to at least one of the preceding claims, characterized in that the device is at least temporarily remotely controlled and / or the control device controls the pumping device using at least one first physical parameter which is characteristic of ambient conditions at an operating location of the system and / or using at least one second physical parameter which is characteristic of a physical property of the beverage to be preserved.

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