Method and data base assistance system for optimal settings of a textile machine - Patents.com

Abstract

The present invention relates to a method and a database-based auxiliary system for optimal settings of a textile machine for manufacturing a textile product, according to which input parameters are received by means of a receiving unit, subsequently at least one suitable recommended setting for at least one specific machine component and / or production parameters of the textile machine are automatically calculated depending on the at least one received input parameter, subsequently selectable output parameters are output by means of an output unit which is coupled in a data-transmitting manner at least to the calculating unit, and further the database-based auxiliary system is configured to perform the method.

Description

[Technical field]

[0001] The present invention relates to a method and database assistance system for optimal settings of a textile machine for producing textile products.

[0002] The production of defined textile products is complex and involves a large number of settings on textile machines. The starting materials used, such as fibers, slivers, yarns, and surface fibers, can have a high degree of variation in their properties, for example due to natural variations and the use of multiple mixtures. Almost every step of the textile process chain requires a high degree of process know-how, and almost every textile machine offers the operator more diverse process parameters and machine components to cover the material requirements. Furthermore, the complexity of the materials to be processed, for example in the form of dual-core or triple-core yarns or recycled materials, increases every year, which makes the settings of the textile machines additionally difficult.

[0003] For optimal settings of a textile machine, the settings must be selected in accordance with the starting material and the production goals, such as maximum productivity or highest quality. This setting is usually carried out by a process specialist. These settings include a large number of individual parameters. These parameters influence the productivity of the textile machine as well as the productivity of further textile machines that follow in the process chain, as well as the quality of the textile product produced by the textile machine or by the further textile machines. Furthermore, the individual parameters have interdependencies and interactions that affect the production result.

[0004] The setting up of the textile machine typically involves the selection of specific machine components for the production of the textile machine, such as, for example, card clothing, rotors, splicing means, package receptacles and other machine components. This selection depends, inter alia, on the starting material and on the further processing method of the textile product. The selection of the components is usually followed by the setting of the production parameters, such as, for example, the production speed, air pressure, strain, stress and rotation speed.

[0005] However, in many cases the textile machine maintenance manual only gives the machine operator general clues regarding the machine settings.

[0006] Therefore, the quality of the machine settings is largely directly dependent on the experience of the machine operator. It is especially difficult for an inexperienced machine operator to set up a good machine setting. However, training of machine operators is extremely complicated and time-consuming. Furthermore, experienced machine operators and service personnel of machine manufacturers are increasingly retiring. As a result, more and more inexperienced machine operators and service personnel operate the machines and have difficulties finding good machine settings. Accordingly, on the one hand, the best quality of the manufactured textile products is often no longer achieved, and on the other hand, maintenance and repair costs due to the operation of textile machines that are not optimally set increase.

[0007] The object of the present invention is therefore to provide a means which enables a machine operator to optimally set up a textile machine without extensive prior knowledge, thereby enabling even unskilled machine operators to reliably produce high-quality textile products, and in particular to minimise the effort required for maintenance and repair of the textile machine as much as possible.

[0008] This problem is solved according to the invention by a method according to claim 1 and by a database-assisted system according to claim 14. Advantageous developments of the invention are indicated in the dependent claims.

[0009] The method for obtaining recommended settings for a textile machine for producing a textile product according to the invention comprises, as a method step therefor, first receiving a plurality of input parameters by means of a receiving unit, said input parameters being: (i) the starting materials from which textile products are manufactured; (ii) Machine type of textile machinery; (iii) the production targets of the textile machine or of further textile machines which are downstream of the textile machine in the processing chain of a textile product, in particular the production targets relating to the textile product to be produced by the textile machine or by the further textile machine, (iv) Subsequent to the manufacture of textile products, subsequent processing methods for the manufactured textile products; (v) the air conditioning data prevailing in the production hall housing the textile machine and / or the further textile machine, and / or (vi) at least one machine component of a further textile machine which is located upstream and / or downstream relative to the textile machine in the processing chain of the textile product At least one piece of information regarding.

[0010] All of this information corresponds to conditions which, either alone or in combination of at least two conditions, may affect the production of a textile product by a textile machine.

[0011] Subsequently, using the calculation unit, at least one recommended setting for at least one specific machine component and / or production parameter of the textile machine, suitable for the production of a textile product by the textile machine and / or the further textile machine, which is in particular stored readably in the data memory unit or newly generated by the calculation unit and more preferably to be stored in the data memory unit after generation, is automatically calculated as a function of the received input parameters, where the calculation unit is connected to a receiving unit, in particular a data memory unit, in a data-transmitting manner. The data-transmitting connection can be realized in the sense of the present invention, preferably wirelessly and / or by wire, as usual. At least the receiving unit, the calculation unit and / or the data memory unit can more preferably be constituted by a calculation unit. In the sense of the present invention, a unit is understood to mean a unit that consumes electrical energy in the usual sense.

[0012] Subsequently, according to the present invention, a selectable output parameter including information regarding the at least one calculated recommended setting is output using an output unit, where the output unit is coupled to at least the calculation unit in a data transmitting manner.

[0013] This makes it possible to achieve desired production targets or produce desired textile products based on calculated recommended settings for the textile machine tailored to the starting material used.

[0014] The inventors realized that the optimized setting of a textile machine is only possible with many years of experience and becomes more and more complicated due to the increase in the number of settings to be made and the number of available machine components and process chains, i.e. processing chains for textile products. Furthermore, the inventors realized that only one electronic system can calculate the respective optimal setting under the numerous possible combinations of individual components and parameters, in particular due to the diverse interactions and dependencies between the individual components and parameters, without extensive and time-consuming trials, and only in this way can a consistently high quality of the textile product or process product, for example a surface fiber structure such as a fiber bundle material, a thread or a fabric, be achieved. The method according to the invention here advantageously makes it possible to set up a textile machine with little to no prior knowledge at all. In contrast, the machine operator is provided with recommended settings that allow the desired textile product to be produced as well as possible.

[0015] According to a further aspect of the invention, there is provided a database-based assistance system according to one of the particularly described embodiments for carrying out the method according to the invention, whereby the corresponding components of the database-based assistance system can preferably have a corresponding configuration on the device side so as to be able to carry out or execute the above-mentioned method steps.

[0016] The data-based assistance system can be a data memory unit with application software for a computing unit for carrying out the method or process steps, and / or in particular a device with at least one computing unit and / or data memory unit. This data-based assistance system here has the function of essentially providing a recommended setting for the machine operator based on a data input and / or stored data. This recommended setting is to be understood in the sense of the present invention as meaning any recommendation that provides for the selection of at least one parameter, a process sequence and / or at least one machine component. Such a selection means can also be understood as a recommendation action. The data-based assistance system particularly preferably assists the machine operator in the processing of any starting material, and particularly preferably also in the processing of complex starting materials, such as the purely exemplary mentioned dual-core or triple-core yarns and / or recycled materials, in order to be able to produce the desired textile product. Starting materials with varying material qualities can also be easily taken into account in this way.

[0017] Here, the method and / or the auxiliary system can preferably be operated essentially in an integrated manner on at least one platform and preferably simultaneously on at least two platforms, i.e. on several different platforms. Possible platforms here can be constituted in a preferred manner, inter alia, by machine controls, human-machine interfaces, smartphones, handhelds, computers, servers, data watches, data goggles, laptop computers and any other computer and data processing systems. A general provision as an Internet site or by means of a web server is also preferred. The database-based auxiliary system can exemplarily be constituted in a preferred manner as an independent and / or separate unit, separate from the textile machine and in particular from the machine control of the textile machine.

[0018] Possible applications of the method and the assistance system of the database are, for example, splicing, winding, ring spinning, rotor spinning, air spinning, friction spinning, and further processing of the yarn, for example during weaving, weft knitting, dyeing, etc. Correspondingly, the textile machine is preferably a machine for carrying out one or more of these methods. Particularly preferably, the textile machine is a spinning machine or a winding machine having a number of mutually identical work stations, in which case the assistance system of the method or the database can very particularly preferably recommend the recommended settings for a predefined number of each work station or for all work stations, for a machine component or for at least one service unit operating the textile machine.

[0019] The auxiliary system of the method or database here provides optimized settings for a textile machine in order to be able to produce a textile product as required, which here can be a final product, for example a garment or a fabric, or an intermediate product for further processing, in particular an intermediate product for industrial further processing, for example an area-like fiber, such as a sliver, a yarn or a fabric.

[0020] According to the invention, input parameters are received, where reception in this context is understood to mean any supply of corresponding data to a receiving unit. Here, according to a preferred embodiment, at least one input parameter can be entered manually by a user into the input unit and / or at least one input parameter can be transmitted automatically, in particular in connection with a further computer system, at least one control unit of the textile machine and / or by means of a higher-level control, to be received by the receiving unit. Preferably, following the reception of the at least one input parameter, a diagnosis of the input parameter is performed, where particularly preferably the at least one input parameter is checked for possible inconsistencies, competing production targets, imperfections, values ​​outside the normal range and / or generally possible errors.

[0021] The input parameters may be any data information on the starting material used to produce the textile product, in particular material properties, and / or the type of textile machine to be used to produce the textile product. The input parameters of the starting material may be, for example, the size, dimensions, material, mechanical and / or chemical properties of the starting material. Further input parameters may be, for example, the yarn type, material composition, twist direction, fineness, strength properties, fiber length distribution, etc. Furthermore, the input parameters may be, for example, climate information, such as temperature or humidity, at least one machine component used to produce the textile product, a further processing method of the textile product following the production of the textile product, or at least one further textile machine located upstream and / or downstream relative to the textile machine in the processing chain of the textile product. Furthermore, in the framework of the input parameters, the production targets of the textile machine or the production targets of further textile machines located downstream of said textile machine in the processing chain of the textile product can be taken into account. For example, the textile machine may be a flyer or a draw frame, the textile product of which is a defined sliver. As further textile machines located downstream of the flyer or the draw frame in the processing chain, a ring frame for the flyer and a rotor or air frame for the draw frame, which respectively produce yarn as a textile product, can be taken into consideration. For this purpose, for example, the production target of the textile machine, i.e. the flyer or the draw frame for the sliver, can be taken as input parameters. Alternatively or additionally, the production target of the further textile machine, in particular the production target of the ring, rotor or air frame for the yarn to be produced, can be used as input parameters.

[0022] In the sense of the present invention, production objectives, in particular with regard to the textile product to be produced, are understood to essentially mean the target settings for production, the requirements of the textile machine and / or the desired properties of the resulting textile product.

[0023] The automatic calculation of at least one recommended setting for at least one specific machine component and / or production parameter of the textile machine, which is readably stored in a data memory unit for the production of a textile product by the textile machine and / or further textile machine, as a function of the received input parameters, is carried out according to the invention by a calculation unit, which is designed in particular to perform an independent calculation and selection of the recommended setting. In the framework of the automatic calculation, a calculation is preferably carried out to optimize the available production parameters, in particular the variable production parameters, based on the at least one received input parameter, and then, on this basis, to calculate a recommendation for the setting to be optimized as a function of the at least one received input parameter. In the case of the automatic calculation, for example, previously recorded and / or stored data can be taken into account. In the course of the automatic calculation, the recommended setting stored in the data memory unit can be calculated or new recommended settings can be developed or generated, which are then further preferably readably stored in the data memory unit.

[0024] A specific machine component is understood to mean in particular an exchangeable, changeable, configurable and / or optionally usable component, part and / or structural unit of the textile machine or further textile machine. A production parameter is understood to mean at least a part of the settings of the textile machine, preferably all settings which need to be made and / or which are variable for producing a textile product, i.e. which can be changed by the machine operator.

[0025] The recommended settings may be assigned to the directly calculated production parameters or to values ​​derived therefrom, in which case the recommended settings are preferably adapted to the respective inputs and / or values ​​required by the textile machine for operation, so that the recommended settings can be output to the textile machine solely for the selection of one or more output parameters corresponding to the recommended settings by the machine operator or alternatively automatically. When outputting for selection by the machine operator, the machine operator only has to take over or confirm the output parameters corresponding to the recommended settings. The output parameters outputted can essentially relate to all parameters that can be set in the respective textile machine, pneumatic settings, process flow settings and / or mechanical settings mentioned purely by way of example.

[0026] The output parameter or parameters correspond particularly preferably to recommended settings, particularly preferably to a plurality of recommended settings, in particular in the form of a plurality of possible sets of settings to be optimized for the production of the textile product under consideration of the input parameters. Very particularly preferably, the output of the output parameters is performed together with information explained to the machine operator, so that the machine operator can decide on this basis and take a corresponding selection. Overall, the output parameters may in particular be production or target parameters, settings, defined flows and / or recommended components that are suitable for the production of the textile product.

[0027] The output of the output parameters is a suggestion, in particular to a machine operator of a textile machine, for obtaining an optimal production of the textile product taking into account the input parameters. It is also preferred that the output parameters or the underlying recommended settings are checked before the output, in particular for possible inconsistencies, values ​​that are contrary to the production targets, incompleteness, values ​​outside the normal range, and / or generally possible errors. Additionally, it is particularly preferred that a report is made to the machine operator or the control device if the values ​​or recommended components do not correspond to the standard recommendations and / or deviate significantly from the established standard values.

[0028] In a preferred embodiment of the method, it is envisaged that the step of automatically calculating is carried out using a database-based approach, in which at least one input parameter is directly assigned to at least one specific output parameter, whereby this direct assignment can be fully automatically calculated or calculated or can in particular be pre-set by the machine operator.It is also conceivable that this assignment can be calculated automatically and then controlled and possibly corrected by the machine operator, and only then recorded in the data memory unit using a fixed assignment.

[0029] Furthermore, according to a preferred embodiment, in the absence of an assignment between output parameters and input parameters in the data memory unit, it is also conceivable to search for a data set with as similar input parameters as possible and make one or more recommended settings based on the similarity and output them accordingly. In this case, a weighting of the recommendations or a storage of the suggestions adopted by the machine operator is also conceivable as a suggestion selected by the machine operator for future direct assignment and / or this weighting. Furthermore, a recording of the feedback of the machine operator after the start of the production of the textile product and / or in the framework of the quality control of the textile product is also conceivable in order to improve the quality of future recommendations and / or to eliminate future inappropriate assignments.

[0030] Generally, the output of the output parameters is preferably stored, in particular as a recipe that can be called up again later. Furthermore, an exchange of outputs, in particular an exchange of stored recipes between machine operators and / or between different textile machines or devices in which the method according to the invention is carried out, is preferably possible. The storage can here, or preferably in general, take place in any manner in any storage location, for example locally, in the backend, centrally or distributed.

[0031] In a further preferred development, the automatically calculating step is additionally or alternatively performed to the database-based approach using a model-based approach, which also preferably takes into account a relationship between at least one input parameter and production target and at least one output parameter from the optimized or preferred settings, and / or also preferably uses machine learning to further optimize or improve the output parameter. In the model-based approach, fundamentally different models and methods can be used. Thus, for example, a simple decision tree model can be applied directly based on the input parameters or based on parameters derived therefrom to obtain the at least one output parameter.

[0032] In a particularly preferred embodiment of the database-assisted system, it is envisaged that the automatic calculation step is performed based on statistical and / or machine learning models, additionally or alternatively to a database-based approach. Statistical models can be, for example, regression, random forests or support vector machines. Machine learning models are preferably deep learning models, particularly preferably applying neural networks.

[0033] In order to allow for a continuous improvement of the method, in a preferred embodiment, a data set of input and output parameters, in particular a data set of optimal production parameters, optimized settings and / or recommended components, is automatically and / or by the user stored and subsequently used continuously or intermittently to improve the automatic calculation, in particular to improve an existing predictive model or to generate a new predictive model. In general, preferably, the step of automatically calculating is based on one or more predictive models. Furthermore, in general, a learning capability and thus a continuous improvement based on the received data, the feedback of the machine operator, the input of the textile machine manufacturer and / or operator and / or from any further source is advantageous. Very particularly preferably, in this way, a continuous or periodic learning is ensured.

[0034] A textile machine can basically be any machine for producing and / or processing textile products, in which case the configuration as a yarn producing or package producing textile machine is preferred. Depending on the textile machine type, the production objectives can differ significantly from one another. Thus, for a textile machine producing a yarn, the production objectives can be the highest yarn uniformity, the highest productivity, a defined fineness, a defined twist, a spinning of the most identical yarn possible, and / or the highest possible yarn quality. For a textile machine producing a package, the production objectives can be an inherently defined package density or the highest possible package density, the highest productivity, a splicing of the most identical yarn possible, and / or the highest possible quality. In other textile machine types, such as weaving machines, the production objectives can be, for example, the uniformity or height of the mass per unit area. In the case of flyers, cards and draw frames, the production objectives can in particular be the uniformity or fineness of the sliver.

[0035] Advantageously, the recommended settings for the components of the textile machine, which are output by means of the output parameters, are, for example, specific yarn counts, rotors, spinning nozzles, drafting device components, ring traveler systems, bobbin sizes, withdrawal units, splicing means, package holders and / or loom types, leats, knitting machine types, knitting needle types. Recommendations for further components of the textile machine, which can be taken into account in the further processing flow of the textile product, can also be output. These recommendations can be taken into account, for example, manually or automatically, in particular by the textile machine and the further textile machine being connected in a mutual data-transmitting manner.

[0036] Further preferably, the recommended production parameters may include, for example, the production speed, air pressure, strain, stress and / or rotation speed of the textile machine and / or the further textile machine.

[0037] Finally, embodiments are preferred in which the input parameters can be entered manually by a user of the textile machine and / or can be read out directly from the textile machine. Alternatively or additionally, it is preferred that the recommended settings are entered manually into the textile machine, in particular into a human-machine interface, and / or transmitted directly to the textile machine. Here, according to preferred embodiments, the reading out of the input parameters from the textile machine and / or the receiving unit and / or the transmission of the recommended settings can take place in basically any form, in particular wired or wireless, for example using NFC, WLAN, USB or CAN.

[0038] Within the framework of an automatic and / or continuous improvement of the method, in particular of the recommended settings to be output and / or of the underlying model, it is also conceivable to integrate material analysis testing machines into the method or at least to connect the receiving unit for data exchange with such machines, so that components and settings can be directly assigned to the material measurement and the results of the material measurement can be directly transmitted back to the receiving unit.

[0039] In the following, an embodiment of the method and database auxiliary system according to the invention is explained in more detail.

[0040] In order to achieve an optimal selection of machine components and the best possible settings for the textile machine, in particular the winding machine, and thus be able to produce an optimal textile product, the machine operator first signs in to the database-based auxiliary system, for example with a tablet computer. This identification of the user helps to access previous usage data, to call up user-dependent settings and / or to adapt the functions of the auxiliary system to the user or his / her competence level. Furthermore, main candidates previously stored by or for this user can be called up.

[0041] In the next step, the user is asked to enter the starting material and the parameters of the textile machine used. The textile machine is identified via the type name or serial number. Furthermore, it is also conceivable that the database support system is only provided for one specific textile machine type, so that the detailed parameters of the associated textile machine are already stored and do not require corresponding input.

[0042] As parameters of the starting material, firstly, information on the yarn components used as starting material is provided, in particular the type of yarn and / or material used and the respective amount proportions of the materials being entered. Then, the yarn properties of the starting material are called up from the memory or entered by the user, where for example the yarn type, the yarn twist direction and the yarn fineness can be displayed here.

[0043] The data-based assistance system then performs an automatic calculation of the ideal machine components, where the program proposes the optimal combination of splicing components, which relates, among other things, to the type of splicer, the shape of the opening tube, the prismatic body to be used, the composition of the distribution metal sheet, and the shear interval. Alternatively, the data-based assistance system also provides for manual selection of machine components, whereby only splicing components compatible with the starting material according to the recorded input parameters of the starting material are proposed and / or selectable. Finally, the user confirms in the data-based assistance system which machine components are to be used.

[0044] Based on the received input parameters and the machine components recommended and output by the auxiliary system based thereon and then selected or confirmed by the user, the textile product is produced. In particular, for the winding machine, the opening and splicing settings are predicted here by a machine learning model. These optimal settings can then be manually entered by the user in the control of the winding machine or winding point or transmitted wirelessly by the auxiliary system directly from the database to the winding machine and / or winding point. With these optimized settings and the selected optimal machine components, the textile product can then be produced as well as possible.

[0045] A further embodiment of the data-based assistance system differs from the previous one only by the fact that in the framework of the recording of the input parameters, the production goals are additionally also queried from the user, who can here for example select the best quality of the textile product or a particularly high efficiency and / or speed of the production of the textile product, which selection is then taken into account when recommending optimized settings and / or when recommending optimal components.

[0046] In order to improve the results of the recommendations of optimized settings and / or optimal machine components over time, the data-based assistance system can further input the results of the recommendations. This can be done on the basis of the user's information about the obtained textile product, whereby the data-based assistance system queries different quality features such as yarn uniformity, deviations in yarn density, surface quality of the yarn, and occurrence of errors in the yarn course for this purpose. Furthermore, the data-based assistance system can also be coupled to devices for quality control or exchange these data on the quality of the textile product and / or occurring errors. Therefore, based on such feedback, machine learning models can be used to improve the quality and accuracy of the recommendations in order to obtain further improved textile products.

Claims

1. 1. A method for obtaining recommended settings for a textile machine for producing a textile product, comprising the steps of: receiving a plurality of input parameters using a receiving unit, wherein the input parameters include: (i) the starting material from which said textile product is made; (ii) a machine type of said textile machine and / or at least one machine component of said textile machine required for the production of said textile product; (iii) the production targets of the textile machine or of further textile machines downstream of the textile machine in the processing chain of the textile product, in particular the production targets for the textile product to be manufactured by the textile machine or by the further textile machine, (iv) a subsequent processing method for the manufactured textile product following the manufacture of said textile product; (v) climate control data prevailing in the production hall housing the textile machine and / or the further textile machine, and / or (vi) including at least one data information relating to at least one machine component of a further textile machine located upstream and / or downstream relative to said textile machine in said processing chain of said textile product, followed by automatically calculating, using a calculation unit which is coupled to the receiving unit for data transmission, in particular forming a calculation unit together with the receiving unit, at least one recommended setting for at least one specific machine component and / or production parameter of the textile machine, which is suitable for the production of the textile product by the textile machine and / or the further textile machine, depending on the at least one received input parameter, and subsequently outputting, using an output unit coupled to at least said calculation unit in a data transmitting manner, at least one selectable output parameter including data information relating to the at least one calculated recommended setting; A method comprising:

2. 2. The method according to claim 1, wherein the recommended settings are read by the calculation unit from a data memory unit or are newly generated, in particular after said generation, and stored in the data memory unit.

3. 2. The method of claim 1, wherein the automatically calculating step is performed using a database-based approach, in which at least one of the input parameters is automatically assigned to at least one of the output parameters.

4. 4. The method of claim 3, wherein the automatically calculating step is performed using a model-based approach, wherein the model-based approach defines a specific relationship between at least one of the input parameters and at least one output parameter.

5. 5. The method of claim 4, wherein the automatically calculating step is preceded by a selection step for selecting the database-based approach or the model-based approach, and the selection is made manually by an operator or automatically based on a predeterminable decision process.

6. The method of claim 1 , wherein the automatically calculating step is based on a statistical model and / or a machine learning model.

7. 2. The method according to claim 1, wherein at least one input parameter and at least one output parameter selected on the basis of the input parameters are readably stored in the data memory unit or a further data memory unit and subsequently used, continuously or intermittently, in the automatic calculating step to improve an existing forecast model or to generate a new forecast model.

8. 2. The method of claim 1, wherein the information regarding production goals for the textile product is uniformity, weight, high productivity, defined fineness, defined twist, a spinning machine with as many identical yarns as possible, a defined quality target, a uniquely defined density or maximum density, or a splicing section with as many identical yarns as possible.

9. 2. The method of claim 1, wherein the step of receiving the input parameters is preceded by a step of manually entering at least one of the input parameters at an input unit, which is coupled to transmit data with the receiving unit.

10. 2. The method according to claim 1, wherein the output parameters comprise information about components of the textile machine and / or the further textile machine, in particular information about specific yarn counts, rotors, spinning nozzles, drafting device components, ring traveler systems, bobbin sizes, withdrawal units, splicing means, package holders, loom types, sleeving, knitting machine types, knitting needle types, etc.

11. The method of claim 1 , wherein the output parameters for the recommended settings for the production parameters are information about the production speed, air pressure, strain, stress, and / or rotation speed of the textile machine.

12. 2. The method of claim 1, wherein the input parameters are read from the textile machine using a reading unit before the receiving step and transmitted to the receiving unit coupled to transmit data with the reading unit.

13. 2. The method according to claim 1, wherein the outputting step is followed by a step of manually inputting at least one selected output parameter in an input unit of the textile machine or a step of selecting at least one output parameter in an output unit, followed by a step of transmitting the at least one selected output parameter to a control device of the textile machine.

14. A database auxiliary system for implementing the method according to at least one of claims 1 to 13, said auxiliary system comprising: a receiving unit for receiving input parameters; a calculation unit for automatically calculating, depending on the received input parameters, at least one recommended setting for specific machine components and / or production parameters for the production of textile products, which setting is readably stored in a data memory unit in particular; an output unit for outputting selectable output parameters; Including, A database auxiliary system, wherein the data memory unit is coupled to or included in the auxiliary system so as to transmit data thereto.