Foreign fiber machine air blowing nozzle control method and foreign fiber machine air blowing nozzle control system

Abstract

The invention discloses a foreign fiber machine air-blowing nozzle control method and a foreign fiber machine air-blowing nozzle control system. The method comprises the following steps: establishing an initial virtual foreign fiber machine air-blowing nozzle model matched with a foreign fiber machine air-blowing nozzle on a simulation platform based on a digital twin technology; acquiring physical data generated by the operation of the foreign fiber machine air blowing nozzle in real time; acquiring initial simulation data of the initial virtual foreign fiber machine air-blowing nozzle model, and taking the virtual foreign fiber machine air-blowing nozzle model obtained by performing data analysis and fusion processing on the initial simulation data and the physical data as a final virtual foreign fiber machine air-blowing nozzle model; and performing real-time detection on the foreign fiber machine air blowing nozzle according to the final virtual foreign fiber machine air blowing nozzle model. The problem that effective fault prediction and life cycle detection cannot be carried out on the air blowing nozzle of the foreign fiber machine is solved.

Description

Technical Field

[0001] The present invention relates to the field of air-blowing nozzles for foreign fiber detectors, and particularly to a control method for an air-blowing nozzle of a foreign fiber detector and a control system for an air-blowing nozzle of a foreign fiber detector. Background Art

[0002] The air-blowing nozzle in a foreign fiber detector is a machine that removes foreign fibers detected in the foreign fiber detector from the cotton flow by means of air blowing. It controls the jet valve to eject the gas in the pipeline. The air-blowing nozzle is a foreign fiber removal device of the foreign fiber detector and an important part of the entire foreign fiber detector. With the update of the detection model in the foreign fiber detector, the detection accuracy is higher and the detection speed is faster, so the performance requirements for the air-blowing nozzle are higher, and the fault troubleshooting efficiency needs to be further improved.

[0003] The existing fault detection method for the air-blowing nozzle of a foreign fiber detector is to adopt the method of post-diagnosis and maintenance. This strategy cannot timely discover elements such as the time and cause of the fault of the air-blowing nozzle of the foreign fiber detector, which not only affects the quality of the subsequent spinning process, but also wastes production time due to the maintenance of the foreign fiber detector, thus affecting the production efficiency of the textile industry. At present, there is no effective means to evaluate the equipment hidden dangers and fault risks of the air-blowing nozzle of the foreign fiber detector, and it is impossible to monitor the operation status and performance of the air-blowing nozzle in real time, let alone update the fault status specifically, and it is difficult to effectively manage the entire life cycle of the air-blowing nozzle. Summary of the Invention

[0004] In view of the above deficiencies of the prior art, the purpose of the present invention is to provide a control method for an air-blowing nozzle of a foreign fiber detector and a control system for an air-blowing nozzle of a foreign fiber detector to solve the problem that it is impossible to effectively predict the faults of the air-blowing nozzle of the foreign fiber detector and detect its life cycle.

[0005] The technical solution of the present invention is as follows:

[0006] A control method for an air-blowing nozzle of a foreign fiber detector includes the following steps:

[0007] Based on digital twin technology, an initial virtual air-blowing nozzle model of a foreign fiber detector matching the air-blowing nozzle of the foreign fiber detector is built on a simulation platform;

[0008] Physiological data generated during the operation of the air-blowing nozzle of the foreign fiber detector is obtained in real time;

[0009] Initial simulation data of the initial virtual air-blowing nozzle model of the foreign fiber detector is obtained, and the virtual air-blowing nozzle model of the foreign fiber detector obtained by performing data analysis and fusion processing on the initial simulation data and the physiological data is used as the final virtual air-blowing nozzle model of the foreign fiber detector;

[0010] Perform real-time detection of the physical state, jetting times, and lifecycle of the air-blowing nozzle of the foreign fiber detector according to the final virtual air-blowing nozzle model of the foreign fiber detector.

[0011] Optionally, the step of using the virtual air-blowing nozzle model of the foreign fiber detector obtained by performing data analysis and fusion processing on the initial simulation data and the physical data as the final virtual air-blowing nozzle model of the foreign fiber detector specifically includes:

[0012] Perform data analysis and fusion processing on the physical data and the initial simulation data to obtain a second virtual air-blowing nozzle model of the foreign fiber detector;

[0013] Obtain the second simulation data of the second virtual air-blowing nozzle model of the foreign fiber detector, perform data analysis and fusion processing on the physical data and the second simulation data, and update the second virtual air-blowing nozzle model of the foreign fiber detector according to the new processing results to obtain a third virtual air-blowing nozzle model of the foreign fiber detector;

[0014] Obtain the third simulation data of the third virtual air-blowing nozzle model of the foreign fiber detector, perform data analysis and fusion processing on the physical data and the third simulation data, and update the third virtual air-blowing nozzle model of the foreign fiber detector according to the new processing results to obtain the final virtual air-blowing nozzle model of the foreign fiber detector.

[0015] Optionally, before the step of building an initial virtual air-blowing nozzle model of the foreign fiber detector that matches the air-blowing nozzle of the foreign fiber detector on the simulation platform based on digital twin technology, it further includes:

[0016] Divide the air-blowing nozzle of the foreign fiber detector into multiple structural modules, and define corresponding functions and control parameters for each of the structural modules;

[0017] Obtain the environmental parameters of the air-blowing nozzle of the foreign fiber detector, and configure the simulation working environment of the initial virtual air-blowing nozzle model of the foreign fiber detector according to the environmental parameters of the air-blowing nozzle of the foreign fiber detector.

[0018] Optionally, the step of building an initial virtual air-blowing nozzle model of the foreign fiber detector that matches the air-blowing nozzle of the foreign fiber detector on the simulation platform based on digital twin technology specifically includes:

[0019] Obtain the geometric dimension parameters, material parameters, component connection relationship parameters, and circuit structure parameters of the air-blowing nozzle of the foreign fiber detector, digitize each component of the air-blowing nozzle of the foreign fiber detector through drawing methods, approximate numerical analysis methods, finite element methods, and simulation models, and then assemble the digitized components in the simulation platform into an initial virtual air-blowing nozzle model of the foreign fiber detector that matches the air-blowing nozzle of the foreign fiber detector.

[0020] Optionally, it further includes the following steps:

[0021] The result data obtained by performing data analysis and fusion processing on the initial simulation data and the physical data is used to dynamically update the data attributes of the final virtual foreign fiber removal machine air-blowing nozzle model, and the dynamic data includes time-varying characteristics, dynamic performance, and health status.

[0022] Optionally, the physical data generated during the operation of the foreign fiber removal machine air-blowing nozzle includes working parameters and status parameters. The working parameters include the working temperature of the foreign fiber removal machine air-blowing nozzle, the working humidity of the foreign fiber removal machine air-blowing nozzle, the position of the air-jet valve of the foreign fiber removal machine air-blowing nozzle, the number of air-jet times of the foreign fiber removal machine air-blowing nozzle, and the air-jet time of the foreign fiber removal machine air-blowing nozzle; the status parameters include the shape and size information of the foreign fiber removal machine air-blowing nozzle, the mechanical stress, air flow pressure, and operating fatigue damage conditions it is subjected to.

[0023] Optionally, the step of performing data analysis and fusion processing on the initial simulation data and the physical data specifically includes:

[0024] Using one or more algorithms arbitrarily combined from neural network algorithms, convolutional neural network algorithms, ant colony optimization algorithms, and gold panning optimization algorithms to perform data analysis and fusion processing on the physical data and the initial virtual data.

[0025] The present invention also proposes a foreign fiber removal machine air-blowing nozzle control system based on the above foreign fiber removal machine air-blowing nozzle control method, including:

[0026] A foreign fiber removal machine air-blowing nozzle;

[0027] A simulation platform for building an initial virtual foreign fiber removal machine air-blowing nozzle model that matches the foreign fiber removal machine air-blowing nozzle;

[0028] A data acquisition device, connected to the foreign fiber removal machine air-blowing nozzle and the simulation platform, and the data acquisition device is used to collect the physical data generated during the operation of the foreign fiber removal machine air-blowing nozzle and the initial simulation data of the initial virtual foreign fiber removal machine air-blowing nozzle model in the simulation platform;

[0029] A processor, connected to the data acquisition device, and the processor is used to perform data analysis and fusion processing on the initial simulation data and the physical data to obtain result data, and obtain a new virtual foreign fiber removal machine air-blowing nozzle model through the result data, and then repeat the step of performing data analysis and fusion processing on the simulation data of the new virtual foreign fiber removal machine air-blowing nozzle model and the physical data at least once to obtain the final virtual foreign fiber removal machine air-blowing nozzle model.

[0030] Optionally, the data acquisition device is further used to collect the environmental data of the foreign fiber removal machine air-blowing nozzle, and the environmental data includes environmental temperature, environmental humidity, environmental noise, environmental particle concentration, and environmental atmospheric pressure.

[0031] Optionally, the processor is connected to the data acquisition device through a digital main line, and the data acquisition device is connected to the air blowing nozzle of the foreign fiber detector and the simulation platform through the digital main line.

[0032] In the technical solution of the present invention, after building a virtual air blowing nozzle model of the foreign fiber detector that is consistent with the actual air blowing nozzle, the operation data of the two air blowing nozzles of the foreign fiber detector are synchronously monitored in the actual working environment and the simulation working environment respectively, and the operation data of the two are subjected to data fusion processing to update the virtual air blowing nozzle model of the foreign fiber detector, obtaining the final virtual air blowing nozzle model of the foreign fiber detector, and detecting the final virtual air blowing nozzle model, thus solving the problem that the air blowing nozzle of the foreign fiber detector cannot be effectively detected for its state. It realizes the comprehensive mapping of the physical entity and the virtual entity of the air blowing nozzle of the foreign fiber detector, and dynamically and precisely manages the whole life cycle of the air blowing nozzle of the foreign fiber detector. This process can timely discover and warn of potential problems, timely control, and effectively cope with problems such as geometric changes of parts, performance degradation, fatigue damage, and failure caused by changes in the operating environment and state, thereby improving the accuracy and reliability of fault prediction, and ensuring that the air blowing nozzle of the foreign fiber detector can maintain the best performance throughout its life cycle. That is, on the one hand, it actively detects the operating state of the air blowing nozzle of the foreign fiber detector, conducts simulation analysis on the collected physical data in real time, and dynamically updates the model and parameters of the current air blowing nozzle of the foreign fiber detector, improving the accuracy of fault prediction of the air blowing nozzle of the foreign fiber detector and achieving the purpose of real-time detection of the life cycle of the air blowing nozzle of the foreign fiber detector; on the other hand, it uses the virtual air blowing nozzle model of the foreign fiber detector to give early warnings, failure probability reports, etc. for the actual risks and failures of the air blowing nozzle of the foreign fiber detector. As factors such as the aging and use of the specific air blowing nozzle of the foreign fiber detector change, the state of the air blowing nozzle of the foreign fiber detector also changes. The health status generated by the digital main line can provide the latest health report for the specific air blowing nozzle of the foreign fiber detector online in real time, enabling the air blowing nozzle of the foreign fiber detector, the virtual air blowing nozzle model of the foreign fiber detector, and the digital main line to continuously roll and optimize, ensuring that with various factor changes during the whole life cycle of the air blowing nozzle of the foreign fiber detector, the latest life state of the air blowing nozzle of the foreign fiber detector is output, improving the detection accuracy and real-time performance of the faults of the air blowing nozzle of the foreign fiber detector, and realizing the optimal economy, efficiency, and application reliability of the whole life cycle of the air blowing nozzle of the foreign fiber detector. Description of the Drawings

[0033] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on the structures shown in these drawings.

[0034] Figure 1It is a flowchart of the method steps of an embodiment of the air-blowing nozzle control method for the foreign fiber separator of the present invention.

[0035] Figure 2 It is a flowchart of the method steps of another embodiment of the air-blowing nozzle control method for the foreign fiber separator of the present invention.

[0036] Figure 3 It is a flowchart of the method steps of yet another embodiment of the air-blowing nozzle control method for the foreign fiber separator of the present invention.

[0037] Figure 4 It is a flowchart of the method steps of still another embodiment of the air-blowing nozzle control method for the foreign fiber separator of the present invention.

[0038] Figure 5 It is a flowchart of the method steps of another embodiment of the air-blowing nozzle control method for the foreign fiber separator of the present invention.

[0039] Figure 6 It is a flowchart of the method steps of yet another embodiment of the air-blowing nozzle control method for the foreign fiber separator of the present invention.

[0040] Figure 7 It is a schematic diagram of the functional modules of the working state of an embodiment of the air-blowing nozzle control method for the foreign fiber separator of the present invention. Detailed implementation manners

[0041] To make the objectives, technical solutions and effects of the present invention clearer and more definite, the following further describes the present invention in detail with reference to the accompanying drawings and by way of examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0042] In the embodiments and the scope of the patent application, unless otherwise specifically defined in the text for articles, the words "a", "an", "the" and "said" may also include the plural form. If there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first", "second" may explicitly or implicitly include at least one such feature.

[0043] It should be further understood that the term "comprising" used in the specification of the present invention means the presence of the stated features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof. It should be understood that when an element is "connected" or "coupled" to another element, it can be directly connected or coupled to other elements, or there may also be intermediate elements. In addition, the "connection" or "coupling" used herein may include wireless connection or wireless coupling. The phrase "and / or" used herein includes all or any unit and all combinations of one or more of the associated listed items.

[0044] Those skilled in the art of the present technology can understand that, unless otherwise defined, all terms used herein (including technical terms and scientific terms) have the same meaning as the general understanding of those of ordinary skill in the art to which the present invention pertains. It should also be understood that terms such as those defined in a general dictionary should be understood to have a meaning consistent with the meaning in the context of the prior art, and will not be interpreted with an idealized or overly formal meaning unless specifically defined as herein.

[0045] In addition, the technical solutions between various embodiments can be combined with each other, but it must be based on the ability of those of ordinary skill in the art to implement. When the combination of technical solutions results in contradictions or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0046] The air-blowing nozzle in the foreign fiber separator is a machine that removes foreign fibers detected in the foreign fiber separator from the cotton flow by means of air blowing. It controls the jet valve to eject the gas in the pipeline. The air-blowing nozzle is a foreign fiber removal device of the foreign fiber separator and an important part of the entire foreign fiber separator. With the update of the detection model in the foreign fiber separator, the detection accuracy is higher and the detection speed is faster, so the performance requirements for the air-blowing nozzle are higher, and the efficiency of troubleshooting it needs to be further improved.

[0047] The existing method for detecting faults in the air-blowing nozzle of the foreign fiber separator is to adopt the method of post-diagnosis and repair. This strategy cannot timely discover elements such as the time and cause of faults in the air-blowing nozzle of the foreign fiber separator, which not only affects the quality of subsequent spinning processes, but also wastes production time due to the maintenance of the foreign fiber separator, thus affecting the production efficiency of the textile industry. At present, there is no effective means to evaluate the equipment hidden dangers and fault risks of the air-blowing nozzle of the foreign fiber separator, and it is impossible to monitor the operating state and performance of the air-blowing nozzle in real time, let alone update the fault state targeted, making it difficult to effectively manage the entire life cycle of the air-blowing nozzle.

[0048] To solve the above problems, the present invention proposes a control method for the air-blowing nozzle of a foreign fiber separator.

[0049] Refer to Figure 1 , in one embodiment, the control method of the air blowing nozzle of the foreign fiber separator includes the following steps:

[0050] S100. Based on digital twin technology, build an initial virtual air blowing nozzle model of the foreign fiber separator that matches the air blowing nozzle on the simulation platform;

[0051] S200. Real-time obtain the physical data generated by the operation of the air blowing nozzle of the foreign fiber separator;

[0052] S300. Obtain the initial simulation data of the initial virtual air blowing nozzle model of the foreign fiber separator, and use the virtual air blowing nozzle model obtained by performing data analysis and fusion processing on the initial simulation data and the physical data as the final virtual air blowing nozzle model;

[0053] S400. According to the final virtual air blowing nozzle model, perform real-time detection on the physical state, jetting times, and life cycle of the air blowing nozzle of the foreign fiber separator.

[0054] In this embodiment, digital twin technology refers to the mirror space model and product life cycle management. The driving mirror space model includes two systems: one is the physical system that always exists; the other is a new virtual system that contains all the information of the physical system. The mirror space model is an integrated multi-physical, multi-scale, and multi-probabilistic high-fidelity simulation model of the system under construction, which can be driven by the digital thread and map and predict the functions, real-time states, and evolution trends of the entities corresponding to the model with the help of high-precision models, sensor information, and input data. It can realize the connection between the virtual digital space and the real physical space throughout the life cycle, ensure the coordination and consistency between the virtual digital space and the real physical space, and thus have the technical basis for ensuring the real-time and accurate management of the air blowing nozzle of the foreign fiber separator throughout the life cycle. Setting the parameters of the air blowing nozzle of the foreign fiber separator can be working parameters such as air flow velocity, pressure, and temperature. Assigning standard thresholds to multiple parameters can help ensure the consistency and quality of products during the production process. By detecting the operation data of the air blowing nozzle of the foreign fiber separator, problems that may affect product quality can be discovered and corrected in a timely manner; the specific parameters of the air blowing nozzle of the foreign fiber separator and their corresponding standard thresholds can be set according to the actual situation and user requirements.

[0055] After building the initial virtual air blowing nozzle model of the foreign fiber separator on the simulation platform, parameters can be set for the air blowing nozzle of the foreign fiber separator and standard thresholds can be assigned. Then, by synchronously detecting the operation data of the air blowing nozzle of the foreign fiber separator and the initial virtual air blowing nozzle model in the actual working environment and the simulation working environment, and performing data analysis and fusion processing on the physical data of the air blowing nozzle of the foreign fiber separator and the simulation data predicted by the initial virtual air blowing nozzle model of the initial virtual air blowing nozzle model, a new virtual air blowing nozzle model can be obtained.

[0056] The present invention adopts digital twin technology. After building a virtual air-blowing nozzle model of the foreign fiber separator that is exactly the same as the actual one, the operation data of the two air-blowing nozzles of the foreign fiber separator are synchronously detected in the actual working environment and the simulation working environment respectively. After data fusion processing of the operation data of the two, the virtual air-blowing nozzle model of the foreign fiber separator is updated to obtain the final virtual air-blowing nozzle model of the foreign fiber separator. Based on the final virtual air-blowing nozzle model of the foreign fiber separator, the real-time state of the air-blowing nozzle of the foreign fiber separator is obtained, realizing dynamic management of the operation state of the air-blowing nozzle of the foreign fiber separator, early warning, improving the state monitoring of the air-blowing nozzle of the foreign fiber separator. In this way, through the control method of the air-blowing nozzle of the foreign fiber separator of the present invention, the phenomenon that the air-blowing nozzle of the foreign fiber separator cannot timely detect and warn some potential problems and thus cannot be timely controlled can be addressed.

[0057] Referring to Figure 2 , in one embodiment, the step of using the virtual air-blowing nozzle model of the foreign fiber separator obtained by performing data analysis and fusion processing on the initial simulation data and the physical data as the final virtual air-blowing nozzle model of the foreign fiber separator specifically includes:

[0058] S310. Perform data analysis and fusion processing on the physical data and the initial simulation data to obtain a second virtual air-blowing nozzle model of the foreign fiber separator;

[0059] S320. Obtain the second simulation data of the second virtual air-blowing nozzle model of the foreign fiber separator, perform data analysis and fusion processing on the physical data and the second simulation data, and update the second virtual air-blowing nozzle model of the foreign fiber separator according to the new processing result to obtain a third virtual air-blowing nozzle model of the foreign fiber separator;

[0060] S330. Obtain the third simulation data of the third virtual air-blowing nozzle model of the foreign fiber separator, perform data analysis and fusion processing on the physical data and the third simulation data, and update the third virtual air-blowing nozzle model of the foreign fiber separator according to the new processing result to obtain the final virtual air-blowing nozzle model of the foreign fiber separator.

[0061] In this embodiment, the virtual air-blowing nozzle model of the foreign fiber separator obtained after performing multiple data analysis and fusion processes on the initial simulation data and physical data is used as the final virtual air-blowing nozzle model of the foreign fiber separator. Repeatedly performing the step of data analysis and fusion of physical data and simulation data multiple times can increase the accuracy of the simulation of the virtual air-blowing nozzle model of the foreign fiber separator. The specific number of repetitions can be set according to the actual situation and user requirements. For example, the physical data and the initial simulation data can be first subjected to data analysis and fusion to obtain the second virtual air-blowing nozzle model of the foreign fiber separator, and then the physical data and the second simulation data are subjected to data analysis and fusion, and the second virtual air-blowing nozzle model of the foreign fiber separator is updated according to the new processing result to obtain the third virtual air-blowing nozzle model of the foreign fiber separator; then the physical data and the third simulation data of the third virtual air-blowing nozzle model of the foreign fiber separator are subjected to data analysis and fusion, and the third virtual air-blowing nozzle model of the foreign fiber separator is updated according to the new processing result to obtain the final virtual air-blowing nozzle model of the foreign fiber separator. It should be noted that after obtaining the third virtual air-blowing nozzle model of the foreign fiber separator, data analysis and fusion can continue to obtain the fourth, fifth, and more virtual air-blowing nozzle models of the foreign fiber separator, and the specific number of repetitions can be set according to user requirements.

[0062] Referring to Figure 3 , in one embodiment, before the step of building an initial virtual air-blowing nozzle model of the foreign fiber separator that matches the air-blowing nozzle of the foreign fiber separator on the simulation platform based on the digital twin technology, the following steps are further included:

[0063] S101. Divide the air-blowing nozzle of the foreign fiber separator into multiple structural modules, and define corresponding functions and control parameters for each of the structural modules;

[0064] S102. Obtain the environmental parameters of the air-blowing nozzle of the foreign fiber separator, and configure the simulation working environment of the initial virtual air-blowing nozzle model according to the environmental parameters of the air-blowing nozzle of the foreign fiber separator.

[0065] In this embodiment, the air-blowing nozzle of the foreign fiber separator can be divided into multiple structural modules according to its specific functions, and corresponding functions and control parameters are defined for each structural module. The specific functional modules and control parameters can be divided according to different actual situations and specific user requirements. The environmental parameters of the air-blowing nozzle of the foreign fiber separator can be collected through a data acquisition device, and then the simulation working environment of the initial virtual air-blowing nozzle model is configured according to the environmental parameters of the air-blowing nozzle of the foreign fiber separator. In this way, the initial virtual air-blowing nozzle model can have the same working environment as the air-blowing nozzle of the foreign fiber separator, ensuring the accuracy of the simulation.

[0066] Referring to Figure 4 , in one embodiment, the step of building an initial virtual air-blowing nozzle model of the foreign fiber separator that matches the air-blowing nozzle of the foreign fiber separator on the simulation platform based on the digital twin technology specifically includes:

[0067] S110. Obtain the geometric dimension parameters, material parameters, component connection relationship parameters, and circuit structure parameters of the air-blowing nozzle of the foreign fiber detector. Digitalize each component of the air-blowing nozzle of the foreign fiber detector through the drawing method, approximate numerical analysis method, finite element method, and simulation model, and then assemble each digitalized component into an initial virtual air-blowing nozzle model of the foreign fiber detector that matches the air-blowing nozzle of the foreign fiber detector in the simulation platform.

[0068] In this embodiment, therefore, the initial virtual air-blowing nozzle model of the foreign fiber detector includes relevant sub-models regarding the air-blowing nozzle of the foreign fiber detector, specifically such as Figure 7 the CAD model, dynamics model, control system model, and fatigue model shown. Among them, the CAD model is a description of the geometric structure of the air-blowing nozzle of the foreign fiber detector, the fatigue damage model is a description of the structural material characteristics of the air-blowing nozzle of the foreign fiber detector, the dynamics model is a description of the mechanical system of the air-blowing nozzle of the foreign fiber detector, and the control system model is a description of the control system of the air-blowing nozzle of the foreign fiber detector. In addition, it also includes performance data parameters, environmental data parameters, fault repair data parameters, historical operation data models, etc. The parameters of each sub-model correspond one-to-one with the parameters of each corresponding component of the air-blowing nozzle of the foreign fiber detector, and directly map the real-time operating conditions of the air-blowing nozzle of the foreign fiber detector.

[0069] Referring to Figure 5 , in one embodiment, the following steps are further included:

[0070] S500. Perform dynamic data attribute update on the final virtual air-blowing nozzle model of the foreign fiber detector according to the result data obtained by analyzing and fusing the initial simulation data and the physical data. The dynamic data includes time-varying characteristics, dynamic performance, and health status.

[0071] In this embodiment, when the virtual air-blowing nozzle model of the foreign fiber detector receives an instruction for iterative optimization, that is, when the virtual air-blowing nozzle model of the foreign fiber detector receives the latest operating state obtained based on the air-blowing nozzle of the foreign fiber detector, the update and change of the real-time dynamic attributes of the air-blowing nozzle of the foreign fiber detector will be collected and uploaded in real time and fed back to the virtual air-blowing nozzle model of the foreign fiber detector to make corresponding data preparations for obtaining the latest real-time state next time. The whole process is in real-time rolling, which can ensure the state detection of the air-blowing nozzle of the foreign fiber detector in the textile factory that changes in real time with the working conditions during the whole life cycle, and realize the optimal economy and reliability of the air-blowing nozzle of the foreign fiber detector during the whole life cycle; specifically, reference can be made to Figure 4 . And the health status report can be in the form of the status report of the air-blowing nozzle of the foreign fiber detector, and the content includes but is not limited to the operating state of the air-blowing nozzle of the foreign fiber detector, the safety analysis result of the air-blowing nozzle of the foreign fiber detector, and the failure warning report of each component. The health status report is to enable the air-blowing nozzle of the foreign fiber detector to obtain the latest health status on the basis of ensuring work safety and jet efficiency, ensure the working reliability of the air-blowing nozzle of the foreign fiber detector, and extend the service life of the air-blowing nozzle of the foreign fiber detector as much as possible.

[0072] In one embodiment, the physical data generated by the operation of the air-blowing nozzle of the foreign fiber separator includes working parameters and state parameters. The working parameters include the working temperature of the air-blowing nozzle of the foreign fiber separator, the working humidity of the air-blowing nozzle of the foreign fiber separator, the position of the air-jet valve of the air-blowing nozzle of the foreign fiber separator, the number of air-jet times of the air-blowing nozzle of the foreign fiber separator, and the air-jet time of the air-blowing nozzle of the foreign fiber separator. The state parameters include the shape and size information of the air-blowing nozzle of the foreign fiber separator, the mechanical stress, air flow pressure, and operating fatigue damage conditions it receives.

[0073] In this embodiment, the initial virtual model of the air-blowing nozzle of the foreign fiber separator established based on the physical data generated by the operation of the air-blowing nozzle of the foreign fiber separator is equivalent to mapping the air-blowing nozzle of the foreign fiber separator to the digital space in real time. This digital virtual model can characterize the performance of the air-blowing nozzle of the foreign fiber separator such as economy and reliability. And in the digital simulation space, this model can conduct working process simulation and predict the working state, with strong practicality.

[0074] Refer to Figure 6 , in one embodiment, the step of performing data analysis and fusion processing on the initial simulation data and the physical data specifically includes:

[0075] S301. Use one or more algorithms in any combination of neural network algorithms, convolutional neural network algorithms, ant colony optimization algorithms, and gold panning optimization algorithms to perform data analysis and fusion processing on the physical data and the initial virtual data.

[0076] In this embodiment, one or more algorithms in any combination of the above algorithms can be used to perform data analysis and fusion processing on the physical data and the initial virtual data, so as to obtain the corresponding result data. According to the result data, a new virtual model of the air-blowing nozzle of the foreign fiber separator can be obtained. Other algorithms can also be used for data analysis and fusion processing according to actual needs.

[0077] The present invention also proposes an air-blowing nozzle control system of a foreign fiber separator based on the above air-blowing nozzle control method of a foreign fiber separator.

[0078] In one embodiment, the air-blowing nozzle control system of a foreign fiber separator includes:

[0079] The air-blowing nozzle of the foreign fiber separator;

[0080] A simulation platform for building an initial virtual model of the air-blowing nozzle of the foreign fiber separator that matches the air-blowing nozzle of the foreign fiber separator;

[0081] A data acquisition device connected to the air-blowing nozzle of the foreign fiber separator and the simulation platform. The data acquisition device is used to collect the physical data generated by the operation of the air-blowing nozzle of the foreign fiber separator and the initial simulation data of the initial virtual model of the air-blowing nozzle of the foreign fiber separator in the simulation platform.

[0082] A processor, connected to the data acquisition device, is configured to perform data analysis and fusion processing on the initial analog data and the physical data to obtain result data, and obtain a new virtual air-jet nozzle model of the foreign fiber detector based on the result data. Then, the step of performing data analysis and fusion processing on the simulation data of the new virtual air-jet nozzle model of the foreign fiber detector and the physical data is repeated at least once to obtain a final virtual air-jet nozzle model of the foreign fiber detector.

[0083] In this embodiment, an air-jet nozzle control system of a foreign fiber detector is constituted by an air-jet nozzle of the foreign fiber detector, a simulation platform, a data acquisition device, and a processor. The processor can be a programmable logic device (PLD), a field programmable gate array (FPGA), an MCU single-chip microcomputer, or other electronic components. The data acquisition device can include a variety of sensors and acquisition devices. An initial virtual air-jet nozzle model of the foreign fiber detector that matches the air-jet nozzle of the foreign fiber detector is built through the simulation platform, and the physical data generated by the operation of the air-jet nozzle of the foreign fiber detector and the initial simulation data of the initial virtual air-jet nozzle model in the simulation platform are acquired by the data acquisition device and then output to the processor, so that the processor can perform data analysis and fusion processing on the initial simulation data and the physical data to obtain result data, and obtain a new virtual air-jet nozzle model of the foreign fiber detector based on the result data. Then, the step of performing data analysis and fusion processing on the simulation data of the new virtual air-jet nozzle model of the foreign fiber detector and the physical data is repeated at least once to obtain a final virtual air-jet nozzle model of the foreign fiber detector.

[0084] The air-jet nozzle control system of the foreign fiber detector of the present invention adopts digital twin technology to realize the comprehensive mapping of the physical entity and the virtual entity of the air-jet nozzle of the foreign fiber detector, fully integrate physical entity data, virtual entity data, service data, knowledge data, and fusion-derived data, and realize the precise management of the entire life cycle of the air-jet nozzle of the foreign fiber detector dynamically, so as to cope with the situations of geometric changes of components, performance degradation, fatigue damage, and failure caused by changes in the operating environment and operating state during the use of the air-jet nozzle of the foreign fiber detector, improve the accuracy and reliability of the fault prediction of the air-jet nozzle of the foreign fiber detector, so as to obtain the best performance during the entire life cycle of the use of the air-jet nozzle of the foreign fiber detector, and effectively improve the working efficiency of the textile mill.

[0085] On the one hand, the present invention actively detects the operating state of the air-blowing nozzle of the foreign fiber separator, simulates and analyzes the collected physical data in real time, and dynamically updates the current model and parameters of the air-blowing nozzle of the foreign fiber separator, improving the accuracy of fault prediction for the air-blowing nozzle of the foreign fiber separator and achieving the purpose of real-time monitoring of the life cycle of the air-blowing nozzle of the foreign fiber separator. On the other hand, the virtual air-blowing nozzle model of the foreign fiber separator is used to give early warnings and failure possibility reports on the actual risks and failures of the air-blowing nozzle of the foreign fiber separator, etc., and provides real-time updates of the dynamic attributes of the virtual air-blowing nozzle model of the foreign fiber separator. As factors such as the aging and use of the specific air-blowing nozzle of the foreign fiber separator change, the state of the air-blowing nozzle of the foreign fiber separator is constantly changing. An online real-time health report is provided for the specific air-blowing nozzle of the foreign fiber separator, enabling the continuous optimization of the air-blowing nozzle of the foreign fiber separator and the virtual air-blowing nozzle model of the foreign fiber separator, ensuring that the life state of the latest air-blowing nozzle of the foreign fiber separator is output during the entire life cycle of the air-blowing nozzle of the foreign fiber separator with various factors changing, guiding targeted maintenance of the air-blowing nozzle of the foreign fiber separator, improving the detection accuracy and real-time performance of faults of the air-blowing nozzle of the foreign fiber separator, and realizing the optimal economy, efficiency, and application reliability of the entire life cycle of the air-blowing nozzle of the foreign fiber separator. The virtual air-blowing nozzle model of the foreign fiber separator based on the digital twin technology established by the control method of the air-blowing nozzle of the foreign fiber separator of the present invention can be corrected in real time, achieving the high fidelity of this digital model of the virtual air-blowing nozzle model of the foreign fiber separator, capable of simulating and predicting possible faults of the air-blowing nozzle of the foreign fiber separator and predicting the life of the air-blowing nozzle of the foreign fiber separator; and providing the required data and decision-making support for other processes in the textile mill, having good adaptability and data migration.

[0086] In one embodiment, the data acquisition device is further configured to collect the environmental data of the air-blowing nozzle of the foreign fiber separator, and the environmental data includes environmental temperature, environmental humidity, environmental noise, environmental particle concentration, and environmental atmospheric pressure.

[0087] In this embodiment, the data acquisition device may include, but is not limited to, an air flow sensor, an intake pressure sensor, a temperature sensor, a jet valve position sensor, and other types of sensors. Through the data acquisition device, environmental data such as the environmental temperature, environmental humidity, environmental noise, environmental particle concentration, and environmental atmospheric pressure of the air-blowing nozzle of the foreign fiber separator can be collected, so that the initial virtual air-blowing nozzle model of the foreign fiber separator can accurately simulate the working environment of the air-blowing nozzle of the foreign fiber separator.

[0088] In one embodiment, the processor is connected to the data acquisition device through a digital main line, and the data acquisition device is connected to the air-blowing nozzle of the foreign fiber separator and the simulation platform through the digital main line.

[0089] In this embodiment, the digital thread is a digital data stream of the air blowing nozzle of the foreign fiber detector that covers the entire life cycle and the entire value chain of the air blowing nozzle of the foreign fiber detector, integrates and drives the working state of the air blowing nozzle of the foreign fiber detector with the initial virtual air blowing nozzle model of the foreign fiber detector as the core, and has a data interface and access standards, capable of integrating and processing a large amount of data; the digital thread is the core component of the digital twin technology system. Through the digital thread, the real-time state, operation data, etc. of the air blowing nozzle of the foreign fiber detector can be accurately mapped into the virtual model; at the same time, the analysis results, optimization suggestions, etc. in the virtual model can also be fed back to the air blowing nozzle of the foreign fiber detector to achieve two-way interaction and collaboration between the two. And the digital twin system needs to process multi-source heterogeneous data from various sensors, devices, production systems, etc. of the air blowing nozzle of the foreign fiber detector. The digital thread can collect and integrate these data in different formats and from different sources, including the operation parameters of the device, environmental data, production progress information, etc., to provide comprehensive and accurate data support for the virtual model. The digital thread can also perform standardized processing on the collected data, unify the data format, encoding, and semantics, and ensure that different systems and modules can accurately understand and use the data. For example, unify the unit and precision of the temperature data collected by different sensors for analysis and comparison in the virtual model.

[0090] The digital thread realizes real-time data transmission between the physical entity and the virtual model, enabling the virtual model to timely reflect the latest state of the physical entity. For example, in industrial production, the real-time operation data of the device is transmitted to the virtual model in real time through the digital thread to achieve real-time detection and simulation of the production process. The digital thread transfers the real-time state and behavior data of the physical entity into the virtual model, driving the virtual model to perform real-time simulation and analysis.

[0091] It should be understood that the application of the present invention is not limited to the above examples. For those of ordinary skill in the art, improvements or transformations can be made according to the above description, and all such improvements and transformations should fall within the protection scope of the appended claims of the present invention.

Claims

1. A control method for the air-blowing nozzle of a foreign fiber separator, characterized in that Including the following steps: Based on digital twin technology, build an initial virtual air-blowing nozzle model of the foreign fiber detector that matches the air-blowing nozzle of the foreign fiber detector on the simulation platform; Obtain the physical data generated by the operation of the air-blowing nozzle of the foreign fiber detector in real time; Obtain the initial simulation data of the initial virtual air-blowing nozzle model of the foreign fiber detector, and use the virtual air-blowing nozzle model obtained by performing data analysis and fusion processing on the initial simulation data and the physical data as the final virtual air-blowing nozzle model of the foreign fiber detector; According to the final virtual air-blowing nozzle model of the foreign fiber detector, perform real-time detection on the entity state, jetting times, and life cycle of the air-blowing nozzle of the foreign fiber detector.

2. The foreign fiber removing machine air blowing nozzle control method according to claim 1, characterized in that The step of using the virtual air-blowing nozzle model obtained by performing data analysis and fusion processing on the initial simulation data and the physical data as the final virtual air-blowing nozzle model of the foreign fiber detector specifically includes: Perform data analysis and fusion processing on the physical data and the initial simulation data to obtain a second virtual air-blowing nozzle model of the foreign fiber detector; Obtain the second simulation data of the second virtual air-blowing nozzle model of the foreign fiber detector, perform data analysis and fusion processing on the physical data and the second simulation data, and update the second virtual air-blowing nozzle model according to the new processing result to obtain a third virtual air-blowing nozzle model of the foreign fiber detector; Obtain the third simulation data of the third virtual air-blowing nozzle model of the foreign fiber detector, perform data analysis and fusion processing on the physical data and the third simulation data, and update the third virtual air-blowing nozzle model according to the new processing result to obtain the final virtual air-blowing nozzle model of the foreign fiber detector.

3. The method for controlling the air-blowing nozzle of a foreign fiber separator according to claim 1, wherein, Before the step of building an initial virtual air-blowing nozzle model of the foreign fiber detector that matches the air-blowing nozzle of the foreign fiber detector based on digital twin technology on the simulation platform, it further includes: Divide the air-blowing nozzle of the foreign fiber detector into multiple structural modules, and define corresponding functions and control parameters for each structural module; Obtain the environmental parameters of the air-blowing nozzle of the foreign fiber detector, and configure the simulation working environment of the initial virtual air-blowing nozzle model according to the environmental parameters of the air-blowing nozzle of the foreign fiber detector.

4. The foreign fiber machine air blowing nozzle control method according to claim 1, characterized in that, The step of building an initial virtual air-blowing nozzle model of the foreign fiber detector that matches the air-blowing nozzle of the foreign fiber detector based on digital twin technology on the simulation platform specifically includes: Obtain the geometric dimension parameters, material parameters, component connection relationship parameters, and circuit structure parameters of the air-blowing nozzle of the foreign fiber detector, digitize each component of the air-blowing nozzle of the foreign fiber detector through drawing methods, approximate numerical analysis methods, finite element methods, and simulation models, and then assemble the digitized components in the simulation platform into an initial virtual air-blowing nozzle model that matches the air-blowing nozzle of the foreign fiber detector.

5. The method for controlling the air-blowing nozzle of a foreign fiber separator according to claim 1, characterized in that, It further includes the following steps: Perform dynamic data attribute update on the final virtual air-blowing nozzle model of the foreign fiber detector according to the result data obtained by performing data analysis and fusion processing on the initial simulation data and the physical data, and the dynamic data includes time-varying characteristics, dynamic performance, and health status.

6. The method for controlling the air-blowing nozzle of a foreign fiber separator according to claim 1, characterized in that, The physical data generated by the operation of the air-blowing nozzle of the foreign fiber separator includes working parameters and state parameters. The working parameters include the working temperature of the air-blowing nozzle of the foreign fiber separator, the working humidity of the air-blowing nozzle of the foreign fiber separator, the position of the air-jet valve of the air-blowing nozzle of the foreign fiber separator, the number of air-jet times of the air-blowing nozzle of the foreign fiber separator, and the air-jet time of the air-blowing nozzle of the foreign fiber separator. The state parameters include the shape and size information of the air-blowing nozzle of the foreign fiber separator, the mechanical stress, air flow pressure, and operating fatigue damage conditions it is subjected to.

7. The foreign fiber machine air-blowing nozzle control method according to claim 1, characterized in that, The step of performing data analysis and fusion processing on the initial simulation data and the physical data specifically includes: Using one or more algorithms arbitrarily combined from neural network algorithms, convolutional neural network algorithms, ant colony optimization algorithms, and gold panning optimization algorithms to perform data analysis and fusion processing on the physical data and the initial virtual data.

8. An optical fiber foreign matter detector air-blowing nozzle control system based on the optical fiber foreign matter detector air-blowing nozzle control method according to any one of claims 1-7, characterized in that, Including: The air-blowing nozzle of the foreign fiber separator; A simulation platform for building an initial virtual air-blowing nozzle model of the foreign fiber separator that matches the air-blowing nozzle of the foreign fiber separator; A data acquisition device connected to the air-blowing nozzle of the foreign fiber separator and the simulation platform. The data acquisition device is used to collect the physical data generated by the operation of the air-blowing nozzle of the foreign fiber separator and the initial simulation data of the initial virtual air-blowing nozzle model in the simulation platform; A processor connected to the data acquisition device. The processor is used to perform data analysis and fusion processing on the initial simulation data and the physical data to obtain result data, and obtain a new virtual air-blowing nozzle model through the result data. Then, repeat the step of performing data analysis and fusion processing on the simulation data of the new virtual air-blowing nozzle model and the physical data at least once to obtain the final virtual air-blowing nozzle model.

9. The foreign fiber removing machine air blowing nozzle control system according to claim 8, characterized in that, The data acquisition device is also used to collect the environmental data of the air-blowing nozzle of the foreign fiber separator. The environmental data includes environmental temperature, environmental humidity, environmental noise, environmental particle concentration, and environmental atmospheric pressure.

10. The foreign fiber removing machine air-blowing nozzle control system according to claim 8, characterized in that, The processor is connected to the data acquisition device through a digital main line, and the data acquisition device is connected to the air-blowing nozzle of the foreign fiber separator and the simulation platform through a digital main line.

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