DE102018216574A1 - Process and system for maintenance of a production plant - Google Patents

Abstract

The invention relates to a method for the maintenance of a production system (100), the production system (100) comprising a control system (104) and a plurality of machine units (102) connected in series, a given one of the machine units (102) processing a product (112), which results from the processing by a machine unit (102) immediately upstream of the given machine unit (102), each of the machine units (102) having a local data processing unit (118), first sensors (116) for detecting process data (108) when processing the Product (112) and second sensors (114) for detecting corresponding machine data (122), wherein the control system (104) controls the production system (100) based on the process data (108), and wherein the method comprises the steps: - Retrieving the related of the process data (108) of the product to be processed (108) of the immediately upstream machine unit (102) from the control system (10 4), - evaluation of the machine data (122) of the given machine unit (102) on the basis of the process data (108), - provision of the result (110) of the evaluation for display on a graphical user interface (106).

Description

The invention relates to a method, a system and a computer program product for the maintenance of a production plant.

Production systems typically consist of a large number of machine units connected in series, each machine unit processing the production result of the machine unit upstream of it, the last machine unit providing an end product. Typically, the intermediate product, generally product, produced by one of the machine units has a major influence on the subsequent processing steps. Depending on the nature of the product manufactured, the subsequent processing steps must be adapted accordingly. One example is the production of cement, which requires the basic materials such as limestone, chalk, clay or marl to be pre-shredded in various processing steps. After they have been pre-shredded, these raw materials are mixed together in a certain ratio to form what is known as raw meal. It may be necessary to add correction substances such as bauxite, sand or iron oxide. Further processing steps are the further crushing and drying of the raw meal and the subsequent firing of the so-called cement clinker at high temperatures. The actual cement is then formed by grinding with the addition of additives. The same applies to material flows as they occur in the ore and mineral industry, where the raw materials are gradually processed into a final product using various machines connected in series.

All of these individual processes have a major influence on one another, with the grain sizes of the pre-comminution, for example, having a direct influence on the machine running behavior when adding the correction substances and the subsequent comminution and drying of the raw meal.

The process data characterizing the respective intermediate product is typically transmitted to a higher-level control system, this control system using the process data to control the overall process, that is to say the operation of the individual machine units, in a coordinated manner.

The invention has for its object to provide a method for the maintenance of a production system, an associated computer program product and a system for the maintenance of a production system. The invention is set out in the independent claims. Embodiments of the invention are described in the dependent claims.

• - Abrufen der bezüglich des zu verarbeitenden Produkts erfassten Prozessdaten der unmittelbar vorgeschalten Maschineneinheit vom Leitsystem,
• - Auswertung der Maschinendaten der gegebenen Maschineneinheit auf Basis der abgerufenen Prozessdaten,
• - Bereitstellung des Ergebnisses der Auswertung zur Anzeige auf einer grafischen Benutzeroberfläche.

A method for maintaining a production system is specified, the production system comprising a control system and a plurality of machine units connected in series, a given one of the machine units processing a product which results from processing by a machine unit immediately upstream of the given machine unit, each of the machine units has a local data processing unit, first sensors for recording process data and second sensors for recording machine data, the process data characterizing the product processed by the machine unit and the machine data describing the physical properties of the machine unit during processing of the product, the process data being continuously sent to the Control system are transmitted, the control system controls the production plant based on the process data, the method by the local data processing unit resembled the given engine unit comprises:

• Retrieving the process data of the immediately upstream machine unit relating to the product to be processed from the control system,
• - Evaluation of the machine data of the given machine unit based on the process data called up,
• - Provision of the result of the evaluation for display on a graphical user interface.

The method could have the advantage that the combination of process data and machine data enables very effective maintenance of the production system. For a given machine unit, the method takes into account the influence of the process data of the machine unit upstream of the given machine unit, which have a direct influence on the running behavior of the given machine unit. By combining process and machine data, it could therefore be possible to assess the running behavior of the given machine unit in a very precise manner. For example, the machine data “power consumption” of the given machine unit could have an unusual increase, which, however, can be checked for plausibility with knowledge of the process data of the upstream processing process of the upstream machine unit. In this respect, a technician could take care of the maintenance of the given machine unit, taking into account such process data, the upstream Machine unit an optimal running process is also guaranteed for the given machine unit.

The result can be provided in an optimized manner for display on the graphical user interface, for example by the data processing unit not only providing the relevant machine data as raw data, for example, but also making them available in a visualized manner with characteristic variables such as frequency spectra, counting frequencies and envelopes.

According to one embodiment of the invention, the temporal granularity of the process data transmitted to the control system is higher than the temporal granularity of the machine data. In general, the more precise an element is in this context, the lower the associated granularity. However, if the respective data is less detailed in time, the granularity of the element concerned also increases.

Because the local data processing unit is assigned to the given machine unit itself and is typically also spatially arranged directly on the given data processing unit, large amounts of machine data, such as are obtained in the case of real-time data, can also be recorded and processed. A conventional control system would not be able to do this at all, since the control system is superior to all machine units and would have to receive the corresponding data from them, which would require enormous computing capacity, especially with regard to real-time data. The fact that the machine data of the given machine unit is now evaluated locally by the respective data processing unit on the basis of the process data called up, could thus ensure that sufficient data processing capacities are available for this and any overloading of the control system, which could have a negative effect on the production control , is avoided.

A lean implementation of the method can also be seen in the fact that additional data transmission paths between the individual machine units are dispensed with. Here, the invention recognizes that the process data available anyway on the control system via the (direct) communication path also available between the control system and machine unit is sufficient to call up this process data and, in combination with the machine data of the given machine unit recorded in real time, extensive conclusions to give the functionality of the given machine unit.

According to one embodiment of the invention, the evaluation further comprises: determining a part of the machine data which deviate from a desired value and determining a part of the process data which are the cause of the deviation. The provision of the result of the evaluation includes an at least partial provision of the specific parts of the machine data and the process data for common display on the graphical user interface. The determination of the part of the process data which is the cause of the deviation can be carried out, for example, using a set of rules which local data processing can access in this regard. For example, it can be stored in the set of rules which of the various process data have which effect on the development of machine data. If, for example, machine data cannot be checked for plausibility using the set of rules and the process data, this could be an indication of an error state in the given machine unit, so that the corresponding process data and associated machine data, possibly visually processed, and possibly together with an error message as a result of the evaluation Display can be provided on the graphical user interface.

Instead of a set of rules, part or all of the machine unit can be modeled in terms of its functioning, the process data then being incorporated into the model and corresponding machine data to be expected resulting. Here too, if there is a lack of plausibility checking of various physical or statistical model states, a possible malfunction of the given machine unit could be assumed, which could result in the corresponding provision of the result of this evaluation for display on the graphical user interface.

It should be noted that a “deviation” from a target value also includes the deviation by a maximum tolerance range and also the possibility that a temporal mean value of a deviation deviates by a value of a maximum tolerance.

According to one embodiment of the invention, the method further comprises determining whether a maintenance interval has expired for machine parts of the given machine unit, the retrieval, evaluation and provision being carried out on the basis of the determination of the expiry of the maintenance interval. For example, a maintenance plan could be stored either in the control system or in the local data processing unit, which defines the intervals at which maintenance is necessary for machine parts of the given machine unit. As part of the maintenance, it is then possible to collect relevant information by combining process data and Present machine data in a credible manner so that a technician can reliably draw conclusions about the functionality of the machine parts to be serviced when servicing the production system. Maintenance intervals can relate, for example, to fixed time intervals (for example, absolute time every two years, regardless of the running time of the machine unit) or in relative time units, for example based on the actual real running time in parts of the machine unit. It is also possible that, for example, an entire number of revolutions of machine parts of the given machine unit can be used as a maintenance interval and much more.

• - Senden einer Verarbeitungsanfrage an einen zentralen Server, wobei die Verarbeitungsanfrage den bestimmten Teil der Maschinendaten und der Prozessdaten umfasst,
• - als Antwort auf das Senden, Empfangen eines Verarbeitungsergebnisses vom Server, wobei die Bereitstellung des Ergebnisses der Auswertung eine zumindest teilweise Bereitstellung des Verarbeitungsergebnisses umfasst.

According to one embodiment of the invention, the evaluation further comprises:

• Sending a processing request to a central server, the processing request comprising the specific part of the machine data and the process data,
• - In response to the sending and receiving of a processing result from the server, the provision of the result of the evaluation comprising an at least partial provision of the processing result.

This could be relevant if more extensive services such as, for example, in-depth optimization are to be used, which is not possible in a short time due to the limited computing capacity of the local data processing unit. In order to minimize the data transmission volume here, e.g. only the already determined part of the machine data and the process data is transmitted to the server, so that the server can specifically provide a processing result based on this data.

• - eine Temperatur des Produktes, eine chemische Zusammensetzung des Produkts, eine zur Verarbeitung des Produktes von Teilen der Maschineneinheit verwendete Temperatur, ein zur Verarbeitung des Produktes von Teilen der Maschineneinheit verwendeter Druck, eine Temperatur eines zur Verarbeitung des Produktes verwendeten Verarbeitungsmaterials, ein Druck eines zur Verarbeitung des Produktes verwendeten Verarbeitungsmaterials, eine Korngrößenverteilung des Produktes.

According to one embodiment of the invention, the process data include:

• - a temperature of the product, a chemical composition of the product, a temperature used to process the product of parts of the machine unit, a pressure used to process the product of parts of the machine unit, a temperature of a processing material used to process the product, a pressure of a Processing of the product used processing material, a grain size distribution of the product.

• - eine zur Verarbeitung des Produktes von Teilen der Maschineneinheit verwendete Temperatur, ein zur Verarbeitung des Produktes von Teilen der Maschineneinheit verwendeter Druck, ein zur Verarbeitung des Produkts notwendiger Energieverbrauch von zumindest Teilen der Maschineneinheit, eine zur Verarbeitung des Produkts notwendige Leistungsaufnahme von zumindest Teilen der Maschineneinheit, eine bei der Verarbeitung des Produkts vorhandene Kraftdynamik oder Druckdynamik oder Momentendynamik von Teilen der Maschineneinheit, eine bei der Verarbeitung des Produkts vorhandene mechanische Dehnung oder Kraftbeanspruchung von Teilen der Maschineneinheit, eine bei der Verarbeitung des Produkts vorhandene Umdrehungszahl von Teilen der Maschineneinheit.

According to one embodiment of the invention, the machine data include:

• a temperature used for processing the product of parts of the machine unit, a pressure used for processing the product of parts of the machine unit, an energy consumption of at least parts of the machine unit necessary for processing the product, a power consumption of at least parts of the machine unit necessary for processing the product , a force dynamics or pressure dynamics or moment dynamics of parts of the machine unit which are present during the processing of the product, a mechanical expansion or force loading of parts of the machine unit which exists during the processing of the product, a number of revolutions of parts of the machine unit which is present during the processing of the product.

According to one embodiment of the invention, a mobile display unit has the graphical user interface, the method comprising: recognition of the given machine unit and sending a request to the local data processing unit of the recognized and given machine unit, the retrieval of the process data, the evaluation of the machine data and the provision of the result in response to the request sent.

The detection of a given machine unit and the sending of the request to the local data processing unit can be done in particular by the mobile display unit itself. For example, the mobile display unit could have a reading unit that recognizes the given machine unit optically or via near field communication. The optical recognition could take place, for example, via a camera of the mobile display unit, the given machine unit being able to be identified by image processing on the basis of its appearance, or also being identified, for example, via a QR or bar code which is attached to the given machine unit. A detection via near-field communication could take place, for example, on the basis of a radio identification transmitted by a transmitter assigned to the given machine unit, the transmission being carried out, for example, via RFID, Bluetooth or WLAN communication means. The radiation should preferably be such that it is ensured that the mobile display unit can only uniquely and exactly identify one of the machine units.

It should be noted that in the case of an optical identification of the machine geometry, a variant could be to transmit the image of the machine geometry to a server, which via a corresponding database, which may also be extensive, and corresponding ones Computing resources are able to clearly assign the machine geometry contained in the image to one of the machine units of the production system.

According to one embodiment of the invention, the mobile display unit is an augmented reality, AR device, the display on the graphical user interface comprising an augmented reality representation of the AR device. This could have the advantage that it is convenient for a user of the mobile display unit to have the corresponding relevant evaluation results available when looking at the given machine unit or also parts thereof. It would be particularly advantageous if, in the presence of several evaluation results for different parts of the given machine unit, only those results of the evaluation would be made available to the user as an augmented reality representation which the user is currently looking at with his AR device.

According to one embodiment of the invention, the method further comprises highlighting as an augmented reality representation of at least part of the machine unit, with respect to which the result of the evaluation is displayed. For example, this part of the machine unit could be highlighted in color as an augmented reality representation, so that a user of the mobile display unit is comfortably able to assign the result of the evaluation displayed to him to the part of the machine unit that is relevant for this.

According to one embodiment of the invention, the method further comprises a display as an augmented reality representation of work steps for the maintenance of the given machine unit, in particular for the maintenance of the machine parts of the given machine unit, with respect to which the maintenance interval has expired.

According to one embodiment of the invention, the AR device is AR glasses or a mobile telecommunication device, such as a smartphone or a tablet. In the latter case e.g. on a display of the telecommunication device, a current camera shot, e.g. by the telecommunication device, e.g. of the machine unit and the result is also shown on the display.

According to one embodiment of the invention, the result of the evaluation includes an instruction or a recommendation for the maintenance of the given machine unit. The evaluation of the machine data of the given machine unit based on the retrieved process data thus provides e.g. for a maintenance technician, specific information on how to maintain the given machine unit, so that after the instruction or recommendation has been carried out, e.g. machine data lying outside of a permissible tolerance range come back to the corresponding target range. For example, such an instruction or recommendation could contain the instruction to change the mass flow through a specifically named pipe to a certain value, to change a speed, a pressure or a temperature to a certain value and much more.

In a further aspect, the invention relates to a computer program product with instructions that can be executed by a processor for carrying out the method according to one of the preceding claims.

• - Abrufen der bezüglich des zu verarbeitenden Produkts erfassten Prozessdaten der unmittelbar vorgeschalten Maschineneinheit vom Leitsystem,
• - Auswertung der Maschinendaten der gegebenen Maschineneinheit auf Basis der abgerufenen Prozessdaten,
• - Bereitstellung des Ergebnisses der Auswertung zur Anzeige auf einer grafischen Benutzeroberfläche.

In a further aspect, the invention relates to a system for the maintenance of a production plant, the production plant comprising a control system and a plurality of machine units connected in series, a given one of the machine units processing a product which results from the processing by a machine unit immediately upstream of the given machine unit, wherein each of the machine units has a local data processing unit, first sensors for acquiring process data and second sensors for acquiring machine data, the process data characterizing the product processed by the machine and the machine data describing the physical properties of the machine unit during the processing of the product, the Process data are continuously transmitted to the control system, the control system controlling the production system on the basis of the process data, the local data processing unit of the g The machine unit is designed for:

• Retrieving the process data of the immediately upstream machine unit relating to the product to be processed from the control system,
• - Evaluation of the machine data of the given machine unit based on the process data called up,
• - Provision of the result of the evaluation for display on a graphical user interface.

It should be noted that the examples and embodiments described above can be combined with one another in any manner as long as the combinations are not mutually exclusive.

• 1 ein schematisches Blockdiagramm einer Produktionsanlage,
• 2 ein schematisches Blockdiagramm einer Produktionsanlage und einer AR-Vorrichtung,
• 3 eine schematische Darstellung von Schritten zur Wartung einer Produktionsanlage,
• 4 ein Flussdiagramm eines Verfahrens zur Wartung einer Produktionsanlage.

Embodiments of the invention are explained in more detail below with reference to the drawings. Show it:

• 1 1 shows a schematic block diagram of a production plant,
• 2nd 1 shows a schematic block diagram of a production plant and an AR device,
• 3rd a schematic representation of steps for the maintenance of a production plant,
• 4th a flowchart of a method for maintenance of a production plant.

Elements which are similar to one another are identified below with the same reference symbols.

The 1 shows a schematic block diagram of a production plant 100 , the production plant being a control system 104 and several successive machine units 102 having. The machine unit 102a is the machine unit 102b downstream, the machine unit 102b the machine unit 102c and the machine unit 102c is the machine unit 102d downstream. Each of the machine units 102 processes a product 112 . The starting point is, for example, a raw material 111 which by the machine unit 102a is processed. For example, this processing results from the machine unit 102a a product 112a which is then through the machine unit 102b to a product 112b is processed further. The machine unit then processes in an analogous manner 102c the product 112b to a product 112c which then by machine unit 102d eg to an end product 112d is processed further. The raw material 111 , the products 112a , 112b and 112c , as well as the end product 112d describe a material flow that is shown in the image of 1 starts at the top and ends at the bottom.

Each of the machine units 102 has a corresponding local data processing unit 118 so that the machine unit 102a the local data processing unit 118a , the machine unit 102b the local data processing unit 118b etc. has. For the sake of simplicity, these are with regard to the machine units 102c and 102d not discussed further.

Each of the machine units also has 102 via sensors 114 and sensors 116 . The sensors 114 detect machine data 122 and the sensors 116 detect process data 108 . For example, the machine unit 102a via appropriate sensors 114a for the detection of machine data 125a and it has sensors 116a for the detection of process data 108a . The same applies analogously to the other machine unit 102b , 102c and 102d . The process data 108 characterize the respective product processed by the machine. In other words, characterize the process data 108a the product 112a which by the machine 102a was produced. The process data 108 are connected to the central control system 104 transmitted, this using the process data 108a the entire production facility 100 , that means all machine units 102 controls.

The machine unit is an example below 102b referred to as "the given machine unit" and the machine unit 102a referred to as the "immediately upstream machine unit" of the given machine unit.

The local data processing unit 118b the given machine unit 102b calls the regarding the product 112a Process data recorded by the control system 104 from. This is through the arrow 120 visualized. The local data processing unit then evaluates 118b the machine data 122b , which were recorded locally, based on the process data retrieved 108a out. The result 110 This evaluation is then displayed on a graphical user interface 106 provided.

In a practical example, the production system 100 a plant for the production of cement, as is well known to the person skilled in the art from the prior art. The machine unit 102a could, for example, pre-shred various raw materials 111 such as limestone, chalk, clay or marl. These reduced raw materials are then called a product 112a fed to a mixer which, for example, by the machine unit 102b given is. The mixture in the specified ratio then leads to the so-called raw meal, for example the product 112b . The other downstream machine units 102c and 102d could then serve to add any further necessary correction substances, such as bauxite, sand or iron oxide, and further comminution, drying, heating, firing, etc. to produce the actual cement.

It should be noted that in the examples given here, the machine units are generally designated by reference numerals 102 are marked, the addition a , b , c or d each denotes a specific machine unit itself. The same applies analogously to the process data 108 , the sensors 114 and 116 , as well as for the machine data 122 .

Another practical example is the production plant 100 a facility of the ore or mineral industry. Process steps such as rock crushing and mineral enrichment with the aim of providing Mineral concentrate requires a large number of machine units 112 which connected the raw material in series 111 gradually process the actual end product.

The 2nd based on the 1 and shows sections of only the machine units 102a and 102b , with the further machine units being omitted for the sake of simplicity. About the content of the 1 goes beyond that 2nd also an external server 200 on which the local data processing unit 118b can access with a request (indicated by an arrow with a reference symbol 202 ) and from which the data processing unit in return 118b an answer (arrow with reference symbol 204 ) receives.

For example, the data processing unit has 118b about a model of how the machine unit works 102b modeled based on the process data 108a as an input parameter. The modeling of the processing by the machine unit 102b takes place, results in corresponding machine data to be expected, which are generated by the sensors during operation 114b are to be detected as expected. In the event that, for example, the actually detected machine data 122b could then deviate from this expected machine data by a certain tolerance range by means of the request (reference symbol 202 ) the local data processing unit 118b the deviating machine data together with the associated process data 108a to the server 200 transmitted, whereupon the server 200 carries out a detailed evaluation of this data.

For example, in the example above, mechanical shafts and bearings used in the mixing process could vibrate or vibrate in a certain way, caused by the sensors 114b as machine data 122b could be detected. With knowledge of the process data 108a the server could then 200 Using a highly computationally intensive finite element calculation, for example, calculate an exact vibration behavior or vibration behavior of the corresponding shafts and bearings, compare it with the real machine data and derive a result from the comparison. The server could then see the result (reference number 204 ) of the local data processing unit 118b to provide as a meaningful evaluation. This evaluation can include, for example, a concrete recommendation for action, such as the operation of the machine unit 102b when mixing at a reduced speed, otherwise damage to shafts and bearings could result. This recommendation could then, together with the relevant machine and process data, as a result 110 the graphical user interface 106 be transmitted.

In the example of 2nd is the graphical user interface 106 Part of augmented reality glasses, AR glasses. These AR glasses have a camera 212 which after alignment towards 214 is able to get one to the machine unit 102b attached QR code 216 to read. Using the QR code 216 the AR glasses are then able to the machine unit 102b clearly identify and address them.

For example, after the unique identification of the machine unit 102b the AR glasses make a corresponding request to the local data processing unit 118b send with the request of maintenance-relevant information. A technician looking through the AR glasses now sees parts in his field of vision 208 of the plant, with the result also regarding the plant 110 evaluation as a graphic text module, for example 206 is shown. The overlay can be unspecific with regard to the entire machine unit 102b respectively. For example, it is also possible that the AR glasses over the camera 212 is able to identify exactly which area of the machine unit the user is currently looking at, so that only relevant parts of the result for this area 110 in the graphic text module 206 are displayed. Furthermore, it is possible, for example, for corresponding components of the machine unit with respect to which the graphic text module 206 Information indicates what is highlighted in color by the hatching of the component 210 in 2nd is shown.

This should enable the technician wearing the AR glasses to comfortably examine, adjust or replace those areas of the machine if, in his opinion, as a graphic text module 206 the results of the evaluation that are displayed require such an action.

A corresponding sequence is again explained below as an example as follows: A maintenance technician, for example, runs to a machine unit, such as the machine unit 102b which may need to be serviced. He now puts on the AR glasses and by recognizing the QR code 216 the glasses recognize which machine unit it is. Either automatically or following a command from the maintenance technician, a communication channel between AR glasses and the local data processing unit of this machine unit is then set up to provide the relevant data 110 retrieve. It should be noted at this point that the AR glasses additionally with the control system 104 make contact can, for example, additionally process data such as the process data 108a , but also the process data 108b to retrieve.

In that from the local data processing unit 118b contained result 110 information is also included, such as an indication of the parts that are currently advertised for maintenance. These can be highlighted in the AR glasses and visualized accordingly for the maintenance technician. It is also possible for the local data processing unit to provide step-by-step instructions by means of which the technician can carry out the maintenance of the highlighted parts (if these are highlighted). This step-by-step guide can also be used as a text block on the display of the AR glasses 206 being represented.

If spare parts are used at this point, they can also be identified by displaying a corresponding spare parts catalog and reordered using the AR glasses. Corresponding catalog information can also be provided by the AR glasses from the local data processing unit 118b , but also from an external server like the server 200 , recall.

After the maintenance is done, the machine unit can 102b be monitored when restarting because the corresponding data of the process control system 104 in the glasses, possibly together with the machine data evaluated live 122b , can be visualized. The maintenance carried out is then stored, for example on a corresponding server, such as the server 200 , and the maintenance technician can then continue servicing the next machine so that appropriate maintenance tracking is possible.

The local data processing unit is generally used 118b especially the acquisition of particularly fast machine data, which can be done with the control system 104 cannot be recorded or cannot be recorded. The local data processing unit is able to combine and evaluate this fast data with the slow process data. Thus, the technician is providing the evaluation result 110 able to take a closer look at the machine and identify problems even faster. In particular, analyzes of the machine design can be carried out here (for example, are ball bearings dimensioned large enough?).

It was described above that the local data processing unit 118 modeled the plant. However, other variants are also possible which, viewed individually or in combination with one another and also together with the modeling, can produce the result of the evaluation. In a simple variant, a set of rules could be used here, which defines what machine data 114 based on process data 108 are to be expected and how the maximum tolerance ranges are to be seen here. It is also possible to use a machine learning module, so that instead of permanently programming rules, the local data processing unit is able independently to draw corresponding conclusions regarding the results of the evaluation to be output after a corresponding training cycle.

The 3rd shows another diagram, being here as concrete machine units 102 a machine unit 102a for the pre-shredding of material, a machine unit downstream of this 102b to carry out a thermodynamic process and a machine unit connected downstream 102b are specified for regrinding. Appropriate sensors are used as process parameters analogous to the discussion of the 1 and 2nd eg an inlet temperature, an end temperature, a differential pressure, a particle size distribution and a chemical composition of the product. Machine parameters 122 are, for example, a working pressure, machine power consumption, energy consumption and various dynamics such as force dynamics, pressure dynamics or moment dynamics. This could play a central role, especially in the case of larger, heavy bearings, since depending on the nature of the material to be processed, corresponding oscillations and vibrations can occur, which have a major influence on the processing quality and the mechanical durability of the machine unit.

While typically the process data are generally transmitted from the respective machine unit to the control system every second, the machine data are recorded at high sampling rates and processed or stored in the local data processing unit. The rates are in the range from 100 Hz to several kilohertz.

Characteristic variables such as frequency spectra, counting frequencies or envelopes can be derived from the machine data, which can then be incorporated into corresponding models. As for example with the left arrow 300 in the 3rd visualized, the process data go 108a the pre-shredder 102a into the evaluation of the machine unit performing the thermodynamic process 102b a, with the various parameters 122b can be used to assess corresponding model states. These model states can be physical or statistical in nature. The assessment of the model states delivers the respective result 110 eg in the form of visualizations, recommendations for action up to the localization of event locations, about which appropriate information is necessary for the technician. The result 110 can then be made available to the corresponding graphical user interface.

The 4th shows a flowchart of a method for maintenance of a production plant, initially in step 400 Process data and machine data can be called up. For a given machine unit, the relevant machine data are called up by the sensors of this machine unit, the process data originating from the machine unit directly upstream of this machine unit. The process data is called up by the control system, which is intended to control the production system.

In step 402 The retrieved process and machine data are then evaluated, whereupon in step 404 the result of this evaluation is made available for display on a graphical user interface.

By providing the local data processing units, in which the process and machine data are available locally, comparisons are thus made, for example, to an optimal state, or related data are grouped and arranged for analysis and support purposes. Via a possibly only temporary data connection to a higher-level system such as a server, further services can be used, for example, for in-depth optimization, which may then lead to an adaptation of the configuration and / or filters in the context of local data acquisition. The local data processing unit with its data on the process and the machine data continues to offer, for example, services itself in order to be able to view relevant information on site depending on the mode (filter), for example by using mobile devices with a data connection such as smartphones, tablets and / or augmented Reality devices such as AR glasses make the relevant information available to the user.

In this way, for example, the deviation of the current state of the function of a corresponding machine unit with an optimal state, which is calculated, for example, in the local data processing unit or made available there, can be called up as a deviation, for example in a false color representation.

The combination of machine data and process data with the ability to access more complex algorithms on site and the flexible display of data on the display device in conjunction with location information thus offers the possibility of being able to credibly present relevant information for a technician.

Reference list

100

Production facility

102

Machine unit

104

Control system

106

Graphical user interface

108

Process data

110

Result

111

Raw material

112

product

114

sensor

116

sensor

118

local data processing unit

120

Data transmission

122

Machine data

200

server

202

inquiry

204

answer

206

graphic text module

208

machine parts

210

Highlighting

212

camera

214

Line of sight

216

QR code

300

Data transmission

Claims (16)

Method for maintenance of a production plant (100), the production plant (100) comprising a control system (104) and a plurality of successively connected machine units (102), a given one of the machine units (102) processing a product (112) which results from the processing results from a machine unit (102) immediately preceding the given machine unit (102), each of the machine units (102) having a local data processing unit (118), first sensors (116) for recording process data (108) and second sensors (114) for recording of machine data (122), the process data (108) characterizing the product (112) processed by the machine unit (102) and the machine data (122) the physical Describe properties of the machine unit (102) during the processing of the product (112), the process data (108) being continuously transmitted to the control system (104), the control system (104) controlling the production system (100) on the basis of the process data (108) The method by the local data processing unit (118) relating to the given machine unit (102) comprises: - retrieving the process data (108) of the immediately upstream machine unit (102) relating to the product (112) to be processed from the control system (104), Evaluation of the machine data (122) of the given machine unit (102) on the basis of the retrieved process data (108), - providing the result (110) of the evaluation for display on a graphical user interface (106). Procedure according to Claim 1 The temporal granularity of the process data (108) transmitted to the control system (104) is higher than the temporal granularity of the machine data (122). Procedure according to Claim 2 , wherein only the machine data (122) include real time data. Method according to one of the preceding claims, wherein the evaluation comprises: Determination of a part of the machine data (122) which deviate from a target value, - Determination of part of the process data (108) which is the cause of the deviation, the provision of the result of the evaluation providing at least a partial provision of the specific parts of the machine data (122) and the process data (108) for common display on the graphical user interface ( 106). Method according to one of the preceding claims, further comprising determining whether a maintenance interval has expired for machine parts of the given machine unit (102), the retrieval, evaluation and provision being carried out on the basis of the determination of the expiration of the maintenance interval. Procedure according to Claim 5 , wherein the retrieval, evaluation and provision takes place exclusively with respect to those process data (108) and machine data (122) which are relevant for the machine part, with respect to which the maintenance interval has expired. Procedure according to one of the previous Claims 4 - 6 , the evaluation comprising: - sending a processing request (202) to a central server (200), the processing request (202) comprising the specific part of the machine data (122) and the process data (108), - in response to the sending, Receiving (204) a processing result from the server, the provision of the result of the evaluation comprising at least partial provision of the processing result. Method according to one of the preceding claims, - The process data (108) comprising: a temperature of the product (112), a chemical composition of the product (112), a temperature used for processing the product (112) of parts of the machine unit (102), a for processing the product ( 112) pressure used by parts of the machine unit (102), a temperature of a processing material used to process the product (112), a pressure of a processing material used to process the product (112), a grain size distribution of the product (112) and / or - The machine data (122) comprising: a temperature used to process the product (112) of parts of the machine unit (102), a pressure used to process the product (112) of parts of the machine unit (102), a temperature to process the product (112) Necessary energy consumption of at least parts of the machine unit, a power consumption of at least parts of the machine unit necessary for processing the product (112), force dynamics or pressure dynamics or moment dynamics of parts of the machine unit available during processing of the product (112), one of the Processing of the product (112) existing mechanical expansion or force loading of parts of the machine unit, an existing number of revolutions of parts of the machine unit during processing of the product (112). Method according to one of the preceding claims, wherein a mobile display unit has the graphical user interface, the method comprising: - recognition of the given machine unit, - Sending a request to the local data processing unit (118) of the recognized given machine unit, the process data (108) being retrieved, the machine data (122) being evaluated and the result being provided in response to the sent request. Procedure according to Claim 9 , wherein the mobile display unit is an augmented reality, AR, device, the display on the graphical user interface comprising an augmented reality representation of the AR device. Procedure according to Claim 10 , further comprising highlighting as an augmented reality representation of at least part of the machine unit, for which the result of the evaluation is displayed. Procedure according to one of the previous Claims 9 - 11 , further comprising display as an augmented reality representation of work steps for the maintenance of the given machine unit, in particular for the maintenance of the machine parts of the given machine unit, with respect to which the maintenance interval has expired. Procedure according to one of the previous Claims 10 - 12th , wherein the AR device is an AR glasses or a mobile telecommunication device. Method according to one of the preceding claims, wherein the result (110) of the evaluation comprises an action instruction or an action recommendation for maintenance of the given machine unit (112). Computer program product with instructions that can be executed by a processor for carrying out the method according to one of the preceding claims. System for the maintenance of a production plant (100), the production plant (100) comprising a control system (104) and a plurality of successively connected machine units (102), a given one of the machine units (102) processing a product (112) which results from the processing results from a machine unit (102) immediately preceding the given machine unit (102), each of the machine units (102) having a local data processing unit (118), first sensors for recording process data (108) and second sensors for recording machine data (122) , wherein the process data (108) characterize the product (112) processed by the machine unit and the machine data (122) describe the physical properties of the machine unit during the processing of the product (112), the process data (108) continuously being sent to the control system (104 ) are transmitted, the control system (104) appending the production system (100) d controls the process data (108), the local data processing unit (118) of the given machine unit (102) being designed for: - Calling up the process data (108) of the immediately upstream machine unit (102) recorded with regard to the product to be processed (112) from the control system (104), - Evaluation of the machine data (122) of the given machine unit (102) on the basis of the process data (108) called up, - Provision of the result (110) of the evaluation for display on a graphical user interface (106).

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