WO2017072683A1 - Procédé d'optimisation du processus de travail pour une chaîne et un système de production de textile - Google Patents

Procédé d'optimisation du processus de travail pour une chaîne et un système de production de textile Download PDF

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Publication number
WO2017072683A1
WO2017072683A1 PCT/IB2016/056456 IB2016056456W WO2017072683A1 WO 2017072683 A1 WO2017072683 A1 WO 2017072683A1 IB 2016056456 W IB2016056456 W IB 2016056456W WO 2017072683 A1 WO2017072683 A1 WO 2017072683A1
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WIPO (PCT)
Prior art keywords
machine
textile
operating parameter
textile machine
detected
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Application number
PCT/IB2016/056456
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English (en)
Inventor
Cristian LOCATELLI
Original Assignee
Camozzi Digital S.R.L.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Camozzi Digital S.R.L. filed Critical Camozzi Digital S.R.L.
Priority to TR2018/05743T priority Critical patent/TR201805743T1/en
Priority to CN201680076920.9A priority patent/CN108474145B/zh
Publication of WO2017072683A1 publication Critical patent/WO2017072683A1/fr

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Classifications

    • D—TEXTILES; PAPER
    • D01—NATURAL OR MAN-MADE THREADS OR FIBRES; SPINNING
    • D01H—SPINNING OR TWISTING
    • D01H13/00—Other common constructional features, details or accessories
    • D01H13/14—Warning or safety devices, e.g. automatic fault detectors, stop motions ; Monitoring the entanglement of slivers in drafting arrangements
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65H—HANDLING THIN OR FILAMENTARY MATERIAL, e.g. SHEETS, WEBS, CABLES
    • B65H63/00—Warning or safety devices, e.g. automatic fault detectors, stop-motions ; Quality control of the package
    • D—TEXTILES; PAPER
    • D01—NATURAL OR MAN-MADE THREADS OR FIBRES; SPINNING
    • D01H—SPINNING OR TWISTING
    • D01H13/00—Other common constructional features, details or accessories
    • D01H13/32—Counting, measuring, recording or registering devices
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
    • G05B13/021—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system in which a variable is automatically adjusted to optimise the performance
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65H—HANDLING THIN OR FILAMENTARY MATERIAL, e.g. SHEETS, WEBS, CABLES
    • B65H2701/00—Handled material; Storage means
    • B65H2701/30—Handled filamentary material
    • B65H2701/31—Textiles threads or artificial strands of filaments
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task planning
    • G05B2219/32234—Maintenance planning
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/45—Nc applications
    • G05B2219/45196—Textile, embroidery, stitching machine
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80—Management or planning

Definitions

  • This invention relates to an optimisation method of the working process for a textile production line, for example for a line of transformation of fibre into yarn.
  • This invention also relates to a system for the optimisation of the working process.
  • this invention relates to a method and system for the optimisation of the textile working process, for example for a textile machine such as blow room machines (such as a plucker, mixer, opener, mixing loader, scale loader of tuft blender) , carding machines, combing machines (for example a drawing frame, lap winder or comber), spinning machines (such as a roving frame or a spinning machine) and machines/systems for the transport of bobbins and dirty tubes.
  • blow room machines such as a plucker, mixer, opener, mixing loader, scale loader of tuft blender
  • carding machines for example a drawing frame, lap winder or comber
  • spinning machines such as a roving frame or a spinning machine
  • machines/systems for the transport of bobbins and dirty tubes.
  • the purpose of this invention is to provide a method and a system for the optimisation of the working process for a textile production line that is capable of providing configuration values of the textile machinery adequate and effective for optimising the level of efficiency.
  • Figure 1 is a diagram of a textile production line and of an optimisation system according to this invention, according to an embodiment
  • Figures 2 and 4 each illustrate a further diagram of the optimisation system according to this invention, according to a respective embodiment
  • FIG. 5 is a block diagram of the optimisation method according to an embodiment of this invention.
  • Figure 6 represents an embodiment of a block of the diagram represented in Figure 5.
  • a textile production line installed in a mill, comprises for example one or more blow room machines (such as a plucker, mixer, opener, mixing loader, scale loader of tuft blender) and/or one or more carding machines and/or one or more combing machines (for example a drawing frame, lap winder or comber) and/or one or more spinning machines (such as a roving frame or a spinning machine), installed in the mill.
  • blow room machines such as a plucker, mixer, opener, mixing loader, scale loader of tuft blender
  • carding machines and/or one or more combing machines for example a drawing frame, lap winder or comber
  • spinning machines such as a roving frame or a spinning machine
  • Figure 1 shows an embodiment of the invention with reference to a textile production line L comprising a plurality of spinning machines, such as: roving frames 2, spinning machines 4 and/or winding machines 6 and a transport system 8 between frames and spinning machines.
  • this invention relates to a textile production line in general, comprising any multiplicity of textile machines installed in a mill.
  • Each textile machine 2,4,6,8 of the line is suitable to receive an adjustment value associated with a first operating parameter of the textile machine in order to vary its operating state.
  • this operating parameter is a desired speed of one or more organs of the machine (e.g., electric motors), a desired power consumption, a desired current absorbed by the motors.
  • this operating parameter is a rove tension, a spindle rotation speed, a flyer rotation speed, a drawing parameter, a bobbin diameter or the speed and position of the carriage; or in the case of a spinning machine it is, for example, a spindle speed, carriage speed and position, tension, drawing and twisting of the yarn and so on.
  • the set of one or more operating parameters defines the "recipe" of the machine that is suitable for producing a determined quantity of final product (for example a rove, or a yarn) with a determined quality (for example, regularity, variance, Fini number, Grossi number, Neps number, strength, hairiness, spectrogram, etc . ) .
  • a determined quality for example, regularity, variance, Fini number, Grossi number, Neps number, strength, hairiness, spectrogram, etc .
  • the method of optimisation of the working process for a textile production line comprises a series of steps, in which a first step detects at least a signal or datum representative of a second operating parameter of the textile machine at different time instants of a given time interval.
  • the time interval in which the signals are detected is for example an interval of the duration of a week, a day, a few hours, a few seconds, or any temporal duration as a function of the type of operating parameter of which such signal or datum is representative.
  • the determined time interval has a duration of at least one week while, if the operating parameter is instead the average power consumption, the time interval can vary from a few hours up to a few weeks, and so on.
  • the first and the second operating parameter can be the same operating parameter, for example the speed of an electric motor, to which is associable a desired adjustment value but that, at the same time, can also be detected by suitable sensors, such as an encoder. It also clear that the first and the second operating parameter can be different. Similarly, it is clear that it is possible to detect a plurality of operating parameters, as well as it is possible to associate a plurality of adjustment values.
  • the method provides for detecting both data and signals representative of an operational operating parameter of the textile machine, for example, a datum representative of the number of yarn breakages or a signal representative of working speed or productivity, and signals or data representative of a physical operating parameter of the textile machine, for example a signal representative of the temperature of the motors of the machine, a signal representative of the vibrations of the machine or a datum representative of upcoming maintenance .
  • an operational operating parameter of the textile machine for example, a datum representative of the number of yarn breakages or a signal representative of working speed or productivity
  • signals or data representative of a physical operating parameter of the textile machine for example a signal representative of the temperature of the motors of the machine, a signal representative of the vibrations of the machine or a datum representative of upcoming maintenance .
  • the physical operating parameter is a parameter monitorable in order to anticipate machine maintenance or to predict machine maintenance, for example, it is an intrinsic parameter of the constituent components of the machine.
  • the operational parameter is also a parameter associable to effects produced by the machine, i.e., effects external to the machine, correlated to the production capacity of the machine, such as, for example, the quantity of yarn produced .
  • the physical operating parameter and the operational operating parameter can coincide, for example the speed of the electric motor is monitorable to prevent a possible future maintenance, but is also associable to an effect produced by the machine, i.e., the increase of the quantity of yarn produced.
  • the method thus provides for storing the signal or datum and generating an index of a future operating state of the textile machine based on the signal or datum detected or its processing.
  • Future operating state means an operating state of the machine successive to said determined time interval in which the detection of the signals and/or data occurred.
  • the index of a state of future operation is for example a value of future textile machine efficiency, obtained by processing of the data and / or of the detected signals.
  • Future efficiency means a prediction of an efficiency successive to the time interval in which the signals and/or data were detected or, in any case, an efficiency of the machine in a determined future time interval (for example 1 hour, 1 week or 1 month) with respect to the instant of time considered as present time.
  • "Efficiency" indicates, for example, an efficiency of productivity or energy consumption or an efficiency linked to the number of broken roves per doffing or the number of broken yarns for a determined quantity of spindles per hour (for example every thousand spindles per hour) .
  • the optimisation method thus includes the step of generating at least one adjustment value for at least one of the first operating parameters of the textile machine based on such index of a future operating state of the machine .
  • a new reference value (set point) is generated for the production speed of one or more spinning machines or of one or more roving frames.
  • the adjustment of the speed of production of the aforesaid machines is not simply adjusted as a function of the current productivity or the current working condition of the machine but is properly calculated on the basis of an inference starting from a series of current and past data detected.
  • the index of a future operating state of the machine is generated through an automatic machine learning algorithm applied to the data or signals detected.
  • the learning algorithm is an artificial neural network, genetic algorithm, clustering algorithm, Bayesian network, linear regression algorithm or weighted summation.
  • the step of processing the signal or datum detected also comprises calculating the average working efficiency of the textile machine in the given time interval.
  • An advantageous variant of the optimisation method according to this invention comprises the step of remotely transmitting, to a "cloud” server, the datum or detected signal representative of an operating parameter of the textile machine and/or the new adjustment value (s) of the adjustable operating parameters on the textile machine.
  • the method of optimisation of the working process is, therefore, also preferably suitable for a multiplicity of textile production lines, wherein each textile production line comprises at least one textile machine suitable to receive an adjustment value associable to an adjustable operating parameter of the machine in order to vary its operating state.
  • the method preferably comprises the steps of:
  • blocks 300, 301, 302 represent respectively a production process of a plurality of roving frames, a bobbin transport system and a plurality of spinning machines.
  • the rove produced by the frames and collected in bobbins is transported to the spinning machines in the form of trains of bobbins by the transport system. Subsequently, the spinning machines process these bobbins to produce a yarn in turn destined to be wound on reels.
  • the method For each of these production processes, and thus for each machine of such processes, the method provides for associating an adjustment value of an operating parameter, for example a first speed set point vl for a first spinning machine and an n-th speed set point vn for an n-th spinning machine, a first speed set point vbl first roving frame and an n-th speed set point for an n- th roving frame and a speed set point vt for the transport system.
  • an operating parameter for example a first speed set point vl for a first spinning machine and an n-th speed set point vn for an n-th spinning machine, a first speed set point vbl first roving frame and an n-th speed set point for an n- th roving frame and a speed set point vt for the transport system.
  • a second operating parameter for example productivity in terms of kg/h of yarn produced/transported .
  • productivity pi for the first roving frame
  • productivity pn for the first spinning machine
  • productivity pfn for the n-th spinning machine
  • productivity ptl for the transport system
  • the aforesaid productivities are for example measured using suitable sensors, in themselves known, housed on the machines that calculate the kg/h on the basis of the processing of the yarn and the yarn count .
  • the data processing step begins.
  • the productivities of the roving frames pl...pn are summed to obtain a total productivity Pb of the roving frames.
  • the productivities of the spinning machines pfl...pfn are summed to obtain a total productivity Pf of the spinning machines.
  • the productivity (quantity stored) Ptl 200 kg/h.
  • the total productivity values of the roving frames and spinning machines are compared (for example, subtracted) with respective desired productivity values (productivity set points) Pdb and PDF.
  • the result of this comparison is respectively a roving frame productivity error epb and a spinning machine productivity error epf.
  • the productivity difference value D possibly suitably scaled and/or normalised, is processed to obtain two multiplicative factors Kr and Ka specific for the determination of the new adjustment value for the desired speed of the spinning machines and the function of which will be specified later in the text.
  • the productivity difference value D equal to -210, being for example negative, will be associated to the factor Kr to influence the desired speed reduction for the roving frames or, vice versa, if the sign is changed, it will be associated with factor Ka to influence the increase of the speed of the spinning machines. If it is positive, it would indicate a shortfall by the roving frames/transport system in supplying an adequate number of bobbins to the spinning machines and, consequently, it is to be associated to the reduction factor Kr that influences a new reduced desired speed value of the spinning machines or, if the sign is changed, it will be associated to the factor Ka to influence the increased speed of the roving frames.
  • Such normalised efficiencies ⁇ ' are obtained from the ratio between a vector of future efficiencies ⁇ and a vector of desired efficiencies ⁇ in accordance with block 403 in Figure 5.
  • the values of the normalised efficiencies vector ⁇ ' are comprised in the neighbourhood of the unitary value, slightly above or slightly below. In the case in which this value is greater than unity (i.e., a forecast of increased future efficiency for a given machine), one multiplies (block 402) the desired speed value vd with the normalised efficiency ⁇ ' and with the multiplication factor Ka, otherwise, in the case in which the value of normalised efficiency ⁇ ' is less than unity, one multiplies the desired speed value vd with the normalised efficiency ⁇ ' and with the reduction factor Kr .
  • the result of this multiplication identifies the set point values for the machine speeds vl, vn, vbl, vt (i.e., the new adjustment value for the speed operating parameter) . In this way, one thus obtains a new adjustment value based on both a new efficiency prediction and data/signals indices of operating parameters of the machine (for example, productivity) .
  • the future efficiencies vector ⁇ is the index of a future operating state of the spinning machines, the roving frames and the transport system, in an instant of time successive to the given time interval in which the data or signals were detected of at least one operating parameter of the machine.
  • This future time instant is, for example, a successive time instant of an hour, a day or a week.
  • the future efficiencies vector ⁇ is the result of processing a plurality of detected signals and data in a given time interval to generate a future efficiency value for each machine (roving frame, transport and spinning machines) .
  • Figure 6 illustrates an example of signals and input data to a processing block 600, 601, 602 and 603 of such detected data and the signals, for example, the average efficiency of the machine in a first week, or the average efficiency of the machine in an n-th week, the current average efficiency, the average speed of the machine in a week, the number of alarms of the machine in a week, the average power consumed by the machine in a week.
  • efficiency of the machine means the ratio between the nominal operating time of the machine for the production of a given quantity of product and the total actual time taken by the machine to produce such a quantity of product.
  • the actual total time is always greater than the nominal time because of interruptions in production and/or slowdowns.
  • the processing that generates a future efficiency value of the machine is a processing of data based on an automatic self-learning algorithm of those previously described.
  • the processing that generates a future efficiency value of the machine is a weighted linear regression of the vectors of signals/data detected or of their processing.
  • the new desired speed values set on the textile machines are the result of a processing function of both the data/signals detected relating to the operating parameters of the machine (for example the working speed) and physical parameters (these latter concerning for example the "state of health" of the machine components, i.e., to its maintenance) .
  • This invention also covers a processing system for optimising the working process for one or more textile lines suitable to execute the steps of the optimisation method described in the preceding paragraphs.
  • Embodiments of the processing system are for example shown in Figures 1 to 4.
  • the processing system 1 comprises at least one control unit 20,40,60,81 for the configuration of an operating state of at least one textile machine 2,4,6,8 based on at least one first operating parameter.
  • the processing system 1 comprises at least one detection device for the detection of signals or data representative of a second operating parameter of the textile machine, for example a physical or operational operating parameter, such as the speed of one or more organs, the power consumption, the current consumed by the motors, the temperature of some organs, etc.
  • Main storage means 50 are configured for the storage of the signals or data detected and remote transmission/reception means 70 are suitable for their transmission to the main storage means 50.
  • main storage means 50 are for example a server, installed at the mill, operatively connected to the transmission/reception means 70, for the storage of data coming from the detection devices and/or from the machine control units 20, 40, 60, 81 and/or from image acquisition means.
  • the transmission of the data and signals detected, for example by the control units on the machines, are sent to the transmission/reception means 70 and from these to the storage means 50.
  • the remote transmission/reception means 70 are constituted for example by a local Ethernet network (for example inside a mill) or cabled or wireless Internet.
  • the system 1 also comprises remote processing means 80 operatively connected with the main storage means 50.
  • These remote processing means 80 are configured to generate an index of a future operating state of the textile machine based on the signals or data detected or their processing and to generate at least one adjustment value for the first operating parameter of the textile machine based on said index.
  • the adjustment value for example a different adjustment value with respect to the one already set in the control unit of the machine, is sent to the control units 20,40,60,80 of each textile machine 2,4,6,8 by means of the remote transmission/reception means.
  • the remote processing means 80 are, for example, a PC located near the main storage means 50, or the same server that comprises the main storage means 50 is also configured to process the signals and data detected remotely .
  • Figures 2 to 4 show three different embodiment variants of the system according to this invention.
  • Figure 2 shows a system in which a local server installed at the mill is configured to comprise the main storage means 50, for example a database configured in a storage medium, and interface means 91,92,93,94 with the transmission/reception means 70 for communicating data with the textile machines.
  • These interface means 91,92,93,94 include both physical connection ports with the transmission/reception means and the libraries and applications required for communication with the transmission/reception means, with the control units on the machines and/or directly with the operating parameters measurement sensors.
  • the detection devices 10,11,12,13 of the operating parameters are operatively connected with the control units of each machine tool, the control units 20,40,60,81 of which are subsequently responsible for the communication of the data with the main storage means 50.
  • the detection devices are operatively connected directly with the main storage means 50, without the data/signals detected being first transmitted to the control unit of each machine.
  • the detected signals are transmitted to the remote storage means 50 with temporal continuity ("real-time” mode) or at established intervals (“batch” mode) , for example with daily or weekly frequency, or upon the occurrence of a predefined event, such as in the case of a machine stoppage or the approach of scheduled service ("event based” mode) .
  • the detection device is suitable to provide a temperature value, for example is a temperature sensor, for example a thermistor or thermal probe, suitable to detect the temperature of support structures of the machine's moving organs during the execution of normal processing, or the detection device is suitable to provide a pressure value, for example is a pressure sensor, for example a pressure transducer, suitable to detect the magnitude of a depression in the suction ducts of the machine.
  • a temperature value for example is a temperature sensor, for example a thermistor or thermal probe, suitable to detect the temperature of support structures of the machine's moving organs during the execution of normal processing
  • a pressure value for example is a pressure sensor, for example a pressure transducer, suitable to detect the magnitude of a depression in the suction ducts of the machine.
  • the detection device is suitable to provide an acceleration value, for example is an acceleration sensor, for example an accelerometer, suitable to detect the entity of the vibrations to which said component is subject or, again, the detection device is suitable to provide a distance value, for example is a distance sensor, for example an inductive sensor, suitable for detecting the distance between two organs of the machine, for example an organ in motion and a fixed abutment, to monitor the maintenance of predetermined distances between said organs.
  • an acceleration value for example is an acceleration sensor, for example an accelerometer, suitable to detect the entity of the vibrations to which said component is subject
  • a distance value for example is a distance sensor, for example an inductive sensor, suitable for detecting the distance between two organs of the machine, for example an organ in motion and a fixed abutment, to monitor the maintenance of predetermined distances between said organs.
  • the detection device is suitable to provide a current value, for example, is a current sensor suitable for detecting the current consumed by electric motors of the machine or again is suitable to provide a force value, for example is a force sensor, for example a load cell, suitable to detect the tension of the machine belts.
  • the detection device is an image acquisition means for capturing images of the machine or its organs, for example comprising at least one locally installed webcam.
  • the processing system 1 is local to the mill.
  • the transmission/reception means 70 allow communication of the data/signals and the new adjustment values between the textile machine and a remote server 51, in any case, installed at the mill.
  • the server is configured so as to comprise the storage means 50, for example a memory, processing means 80, for example a processor.
  • the server is for example configured for communication with an appropriate human-machine interface, for example an interactive graphical interface, suitable to show the data/signals detected or the results of the processing.
  • the system 1 comprises a local server 50 local to the mill, for example not configured for the processing of the data detected, but only configured for the storage of such data/signals.
  • the transmission/reception means 70 allow communication of data/signals and the new adjustment values between the textile machines and the remote server 51 and further transmission/reception means 70' are suitable to allow communication between the server 51 and at least one remote client 100,101,102,103, for example a PC workstation, configured for processing the data/signals detected and for the generation of new adjustment values, which are sent to the machine control units.
  • each client comprises a human- machine interface.
  • the new adjustment values are sent to the machines first through the further reception/transmission means 70' to the remote server 51, and then through the reception/transmission means 70 to the control units 20,40,60,81 of the machines.
  • Each remote client 100, 101, 102, 103 can be located at various positions in the mill or its vicinity.
  • the remote server 51 installed at the mill is configured to comprise a database 500 in which the data/signals detected are stored.
  • the remote server 51 communicates remotely by means of reception/transmission means 70' (for example the Internet) with a "cloud" server, located remotely with respect to the remote server 51. This communication is for example realised by means of a suitable VPN.
  • the "cloud” server is also configured to comprise a database 500' on which are the data/signals coming from the remote server 51 are stored.
  • the data/signals detected and the new adjustment values stored in the database 500 on the remote server 51 are synchronised with the data/signals detected and the new adjustment values stored in the database 500' on the "cloud server” 51' .
  • the "cloud” server 51' is configured for processing the data/signals and for generating an index of a future operating state of the textile machine, and thus a new adjustment value, while the remote server 51 is only configured for the storage of the data/signals detected and the new adjustment value.
  • the "cloud" server 51' is operatively connected by means of further suitable transmission/reception means 70'' (for example the Internet) with at least one other remote client 200 comprising a man-machine interface and configured to display the data/signals or their processing.
  • transmission/reception means 70'' for example the Internet
  • remote client 200 comprising a man-machine interface and configured to display the data/signals or their processing.
  • this invention also covers any textile machine 2,4,6,8 for example those mentioned in the preceding paragraphs, comprising control means adapted to interact with a processing system described above.
  • this invention also covers at least one textile line comprising a plurality of textile machines and, preferably comprising at least one roving frame, at least one spinning machine, at least one transport system between the roving frame and the spinning machine and a processing system that executes the steps of the optimisation method as previously described.
  • the optimisation method and the processing system of the working process of a textile line allows effectively implementing a suitable optimisation of the production process and self-regulating the working process on the basis of both the operational data of the machine and on the basis of the state of health of each machine, since it allows collecting, storing, analysing and processing an enormous amount of data coming from a large number of machines of a textile line or from multiple textile lines, for example located in regions remote from each other, for example in different countries or in different regions in the same country.
  • the system according to the invention allows collecting and storing a large amount of data over very long periods of time, thereby allowing the use of such data to refine the models that allow generating an index of the future state of operation of the machine.
  • the possibility of collecting and storing various parameters of a machine and generating efficiency predictions based on these parameters allows optimising the production by taking into account any problems that may arise that cannot be identified without a proper and continuous monitoring of the physical parameters of the machines relative to their maintenance.
  • the monitoring system allows activating an online planning and support service by virtue of the remote detection of the data and their suitable processing to optimise production.

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  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • Textile Engineering (AREA)
  • Quality & Reliability (AREA)
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  • Development Economics (AREA)
  • Health & Medical Sciences (AREA)
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Abstract

La présente invention concerne un procédé pour l'optimisation du processus de travail pour une chaîne de production de textile qui comprend au moins une machine textile adaptée pour recevoir une valeur d'ajustement pouvant être associée à un premier paramètre de fonctionnement de la machine textile afin de faire varier son état de fonctionnement. Le procédé nécessite la détection de signaux représentatifs d'un paramètre de fonctionnement de machine, la génération d'un indice d'un état de fonctionnement futur de la machine textile sur la base des signaux détectés et l'utilisation de cet indice pour générer au moins une nouvelle valeur d'ajustement pour le paramètre de fonctionnement de la machine. Un système et un programme informatique permettent la mise en œuvre des étapes du procédé.
PCT/IB2016/056456 2015-10-30 2016-10-27 Procédé d'optimisation du processus de travail pour une chaîne et un système de production de textile WO2017072683A1 (fr)

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TR2018/05743T TR201805743T1 (en) 2015-10-30 2016-10-27 OPTIMIZATION METHOD FOR A PROCESSING PROCESS FOR A TEXTILE PRODUCTION LINE AND SYSTEM
CN201680076920.9A CN108474145B (zh) 2015-10-30 2016-10-27 用于纺织生产线的工作过程的优化方法和系统

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ITUB2015A004999A ITUB20154999A1 (it) 2015-10-30 2015-10-30 Metodo di ottimizzazione del processo di lavorazione per una linea di produzione tessile e sistema
IT102015000067592 2015-10-30

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CN110070288A (zh) * 2019-04-19 2019-07-30 上海电气集团股份有限公司 一种用于纺纱机的在线监测与生产管理系统及方法
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EP3766815A1 (fr) * 2019-07-19 2021-01-20 Murata Machinery, Ltd. Équipement de bobinage de fil, procédé d'estimation de résistance à la traction, et support d'enregistrement stockant un programme d'estimation de résistance à la traction
CN113646716A (zh) * 2019-02-18 2021-11-12 里特机械公司 纺织机管理系统和方法
CN114326628A (zh) * 2021-12-29 2022-04-12 深圳市智能制造软件开发有限公司 一种纺织厂产线用的智能化生产进度监控系统
EP3839443B1 (fr) * 2019-12-16 2022-06-08 Sick Ag Dispositif émetteur et procédé de détermination d'une grandeur cinématique
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CN116334822A (zh) * 2023-04-24 2023-06-27 吴江广宇纺织有限公司 一种提花机生产控制系统及方法

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CN111738413B (zh) * 2020-06-04 2021-04-20 东华大学 基于特征自匹配迁移学习的纺纱全流程能耗监测方法
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CN115202309A (zh) * 2022-07-28 2022-10-18 惠州学院 一种用于服装生产的智能监控管理系统及方法
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CN110997537A (zh) * 2017-08-23 2020-04-10 欧瑞康纺织有限及两合公司 使合成纱线变形的方法和装置
US11597624B2 (en) 2017-08-23 2023-03-07 Oerlikon Textile Gmbh & Co. Kg Method and device for texturing a synthetic thread
US12006597B2 (en) 2018-10-10 2024-06-11 Maschinenfabrik Rieter Ag Spinning mill and method for operating said spinning mill
EP3636812A1 (fr) * 2018-10-10 2020-04-15 Maschinenfabrik Rieter AG Filature et procédé de fonctionnement de ladite filature
WO2020075028A1 (fr) * 2018-10-10 2020-04-16 Maschinenfabrik Rieter Ag Moulin à filer et procédé permettant de fonctionnement dudit moulin à filer
EP3654114A1 (fr) * 2018-11-16 2020-05-20 Maschinenfabrik Rieter AG Gestionnaire de paramètre, dispositif central et procédé d'adaptation de paramètres opérationnels dans une machine textile
WO2020100092A1 (fr) * 2018-11-16 2020-05-22 Maschinenfabrik Rieter Ag Détermination de paramètres de machine appropriés pour des machines textiles et des procédés au sein de filatures
CN109754164A (zh) * 2018-12-18 2019-05-14 内蒙古鄂尔多斯资源股份有限公司东昊厂 一种羊绒纺织生产计算投入量的动态制成率模型
CN113646716A (zh) * 2019-02-18 2021-11-12 里特机械公司 纺织机管理系统和方法
CN110070288A (zh) * 2019-04-19 2019-07-30 上海电气集团股份有限公司 一种用于纺纱机的在线监测与生产管理系统及方法
US20200399794A1 (en) * 2019-06-19 2020-12-24 Saurer Spinning Solutions Gmbh & Co. Kg Textile machine having a plurality of workstations and a method for monitoring a textile machine having a plurality of workstations
IT201900009465A1 (it) * 2019-06-19 2020-12-19 Camozzi Digital S R L Metodo di ottimizzazione e regolazione di un parametro di funzionamento di una macchina industriale e relativo sistema
US11866854B2 (en) * 2019-06-19 2024-01-09 Saurer Spinning Solutions Gmbh & Co. Kg Textile machine having a plurality of workstations and a method for monitoring a textile machine having a plurality of workstations
EP3766815A1 (fr) * 2019-07-19 2021-01-20 Murata Machinery, Ltd. Équipement de bobinage de fil, procédé d'estimation de résistance à la traction, et support d'enregistrement stockant un programme d'estimation de résistance à la traction
EP3839443B1 (fr) * 2019-12-16 2022-06-08 Sick Ag Dispositif émetteur et procédé de détermination d'une grandeur cinématique
US11698386B2 (en) 2019-12-16 2023-07-11 Sick Ag Encoder device and method of determining a kinematic value
WO2022269488A1 (fr) * 2021-06-24 2022-12-29 Maschinenfabrik Rieter Ag Dispositif et procédé de détermination d'informations pour améliorer au moins partiellement le fonctionnement d'une filature
CN114326628A (zh) * 2021-12-29 2022-04-12 深圳市智能制造软件开发有限公司 一种纺织厂产线用的智能化生产进度监控系统
CN114326628B (zh) * 2021-12-29 2023-12-01 深圳市智能制造软件开发有限公司 一种纺织厂产线用的智能化生产进度监控系统
CN116334822A (zh) * 2023-04-24 2023-06-27 吴江广宇纺织有限公司 一种提花机生产控制系统及方法
CN116334822B (zh) * 2023-04-24 2024-01-05 吴江广宇纺织有限公司 一种提花机生产控制系统及方法

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