Intelligent friction control method and system for industrial park equipment based on coupling

Abstract

The coupling-based intelligent control method and system for industrial park equipment friction provided by the present application obtains the operating equipment friction data and a preset friction attribute catalog; the preset friction attribute catalog contains preset friction analysis instructions; the operating equipment friction data is analyzed and processed based on the preset friction analysis instructions, and the number of analysis result topics of the operating equipment friction data is obtained, the preset friction analysis instructions are updated based on the number of analysis result topics, and the operating equipment friction data is analyzed and processed according to the updated friction analysis instructions to determine the target operating equipment friction data. The present disclosure updates the friction analysis instructions in real time through the changes in the number of analysis result topics of the operating equipment friction data, and analyzes and processes the operating equipment friction data in real time according to the updated friction analysis instructions, thereby realizing intelligent control of the friction force.

Description

Technical Field

[0001] The present application relates to the field of data authentication technology, and more specifically, to a coupling-based intelligent friction control method and system for industrial park equipment. Background Art

[0002] Friction exists when the equipment is running. Too little friction or too much friction will cause some problems. Therefore, it is necessary to control the friction to ensure the normal operation of the equipment. However, how to find the best friction for a device and how to control it accurately are technical problems that are difficult to solve at present. Summary of the invention

[0003] In view of this, the present application provides an intelligent friction control method and system for industrial park equipment based on a coupling.

[0004] In a first aspect, a coupling-based intelligent friction control method for industrial park equipment is provided, which is applied to an intelligent friction control system for industrial park equipment based on a coupling, and the method at least comprises:

[0005] Obtaining operating equipment friction data and a preset friction attribute directory; the preset friction attribute directory includes preset friction analysis instructions;

[0006] The friction data of the operating equipment is analyzed and processed by the preset friction analysis instruction, and according to the number of analysis result topics of the friction data of the operating equipment, the preset friction analysis instruction is updated according to the number of analysis result topics, and the friction data of the operating equipment is analyzed and processed according to the updated friction analysis instruction to determine the target operating equipment friction data.

[0007] In the present application, the analyzing and processing of the friction data of the operating equipment by the preset friction analysis instruction, and updating the preset friction analysis instruction by the number of analysis result topics according to the number of analysis result topics of the friction data of the operating equipment, and analyzing and processing the friction data of the operating equipment according to the updated friction analysis instruction to determine the target friction data of the operating equipment includes:

[0008] Analyzing and processing the friction data of the operating equipment through the preset friction analysis instruction, and according to the first analysis result of the friction data of the operating equipment, the number of topics;

[0009] updating the preset friction analysis instruction according to the first analysis result subject quantity, and analyzing and processing the operating equipment friction data according to the updated friction analysis instruction to determine the second analysis result subject quantity of the operating equipment friction data;

[0010] The above steps of analyzing and processing and updating the friction analysis instruction are repeatedly performed until the number of analysis result subjects of the operating equipment friction data meets the update preset instruction, and the target operating equipment friction data is determined.

[0011] In the present application, the updating of the preset friction analysis instruction by the first analysis result subject quantity, and analyzing and processing the friction data of the operating equipment according to the updated friction analysis instruction, and determining the second analysis result subject quantity of the friction data of the operating equipment includes:

[0012] Determining whether the number of topics in the first analysis result meets the update preset indication;

[0013] If the number of topics in the first analysis result does not meet the update preset indication, updating the preset friction analysis instruction with a first update impulse response function to determine an updated friction analysis instruction;

[0014] The first updated impulse response function includes deriving the impulse response function of the preset friction analysis instruction or debugging the impulse response function of the preset friction analysis instruction;

[0015] The friction data of the operating equipment is analyzed and processed according to the updated friction analysis instruction to determine the number of topics of the second analysis result.

[0016] In the present application, the steps of repeatedly performing the above analysis and updating the friction analysis instructions until the number of analysis result topics of the friction data of the running equipment meets the update preset instructions include:

[0017] Judging whether the number of analysis result topics of the running equipment friction data is debugged according to the number of the first analysis result topics and the number of the second analysis result topics;

[0018] If the number of analysis result topics of the operating equipment friction data is adjusted, continuously updating the friction analysis instruction with the first update impulse response function, and repeatedly performing the above analysis processing and updating the friction analysis instruction steps until the number of analysis result topics of the operating equipment friction data meets the update preset indication;

[0019] If the number of analysis result topics of the friction data of the operating equipment is derived, the friction analysis instruction is updated with a second updated pulse response function, and the above-mentioned analysis processing and updating steps of the friction analysis instruction are repeatedly performed until the number of analysis result topics of the friction data of the operating equipment meets the update preset instructions; the dimensions of the first updated pulse response function and the second updated pulse response function are inconsistent; the second updated pulse response function includes a pulse response function of a debugging friction analysis instruction or a pulse response function of a derived friction analysis instruction.

[0020] In the present application, before updating the preset friction analysis instruction with the first updated impulse response function and determining the updated friction analysis instruction, the method further includes:

[0021] Obtaining a directory mining degree of a preset example directory in the friction data of the running device within a preset time period, and determining an importance mining degree of an importance parsing unit within the preset time period;

[0022] The impulse response function of the directory mining degree is compared with the impulse response function of the importance mining degree to obtain a comparison result, and the first update impulse response function is determined according to the comparison result.

[0023] In the present application, determining the first updated impulse response function through the comparison result includes:

[0024] According to the comparison result, if the impulse response function of the catalog mining degree is consistent with the impulse response function of the importance mining degree, determining the first updated impulse response function as the impulse response function for deriving the preset friction analysis instruction;

[0025] If the impulse response function of the directory mining degree is inconsistent with the impulse response function of the importance mining degree, the first updated impulse response function is determined to be an impulse response function for debugging the preset friction analysis instruction.

[0026] In the present application, the preset friction analysis instruction includes a preset first friction analysis instruction and a preset second friction analysis instruction; the first update impulse response function includes a first update impulse response function and a second update impulse response function; the comparing the impulse response function of the directory mining degree with the impulse response function of the importance mining degree to obtain a comparison result, and determining the first update impulse response function through the comparison result includes:

[0027] Compare the first impulse response function of the directory mining degree with the first impulse response function of the importance mining degree to obtain a first impulse response function comparison result, and determine the first updated impulse response function according to the first impulse response function comparison result; the first updated impulse response function is used to update the preset first friction analysis instruction;

[0028] Compare the second impulse response function of the directory mining degree with the second impulse response function of the importance mining degree to obtain a second impulse response function comparison result, and determine the second updated impulse response function through the second impulse response function comparison result; the second updated impulse response function is used to update the preset second friction analysis instruction.

[0029] In the present application, after repeatedly performing the above-mentioned analysis and updating the friction analysis instruction until the number of analysis result topics of the operating equipment friction data meets the update preset indication and the target operating equipment friction data is determined, the method further includes:

[0030] A target friction analysis instruction corresponding to the number of analysis result topics indicated by the update preset indication is determined, and the preset friction attribute catalog is improved by the target friction analysis instruction to obtain an improved friction attribute catalog.

[0031] In a second aspect, an intelligent friction control system for industrial park equipment based on a coupling is provided, comprising a processor and a memory communicating with each other, wherein the processor is used to read a computer program from the memory and execute it to implement the above method.

[0032] According to a third aspect, a computer-readable storage medium is provided, wherein a computer program is stored in the computer-readable storage medium, and the computer program executes the above method when it is executed.

[0033] The coupling-based intelligent control method and system for friction of industrial park equipment provided in the embodiment of the present application obtains the friction data of the operating equipment and a preset friction attribute catalog; the preset friction attribute catalog contains preset friction analysis instructions; the friction data of the operating equipment is analyzed and processed based on the preset friction analysis instructions, and the number of analysis result topics of the friction data of the operating equipment is obtained, the preset friction analysis instructions are updated based on the number of analysis result topics, and the friction data of the operating equipment is analyzed and processed according to the updated friction analysis instructions to determine the target friction data of the operating equipment. The present disclosure updates the friction analysis instructions in real time through the changes in the number of analysis result topics of the friction data of the operating equipment, and analyzes and processes the friction data of the operating equipment in real time according to the updated friction analysis instructions, thereby realizing intelligent control of the magnitude of the friction force. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying creative work.

[0035] Figure 1 A flow chart of a coupling-based intelligent friction control method for industrial park equipment provided in an embodiment of the present application.

[0036] Figure 2A block diagram of a coupling-based intelligent friction control device for industrial park equipment provided in an embodiment of the present application.

[0037] Figure 3 An architectural diagram of an industrial park equipment friction intelligent control system based on a coupling provided in an embodiment of the present application. DETAILED DESCRIPTION

[0038] In order to better understand the above technical scheme, the technical scheme of the present application is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical scheme of the present application, rather than limitations on the technical scheme of the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0039] See also Figure 1 , shows a method for intelligent friction control of industrial park equipment based on a coupling, which may include the technical solutions described in steps 100 and 200.

[0040] Step 100, obtaining operating equipment friction data and a preset friction attribute directory; the preset friction attribute directory includes preset friction analysis instructions.

[0041] Exemplarily, the operating equipment friction data is used to characterize the actual friction of the equipment during operation.

[0042] Step 200, the friction data of the operating equipment is analyzed and processed by the preset friction analysis instruction, and according to the number of analysis result topics of the friction data of the operating equipment, the preset friction analysis instruction is updated according to the number of analysis result topics, and the friction data of the operating equipment is analyzed and processed according to the updated friction analysis instruction to determine the target operating equipment friction data.

[0043] It should be understood that when executing the technical solutions described in the above steps 100 and 200, the operating equipment friction data and the preset friction attribute directory are obtained; the preset friction attribute directory contains the preset friction analysis instruction; the operating equipment friction data is analyzed and processed based on the preset friction analysis instruction, and the number of analysis result topics of the operating equipment friction data is obtained, the preset friction analysis instruction is updated based on the number of analysis result topics, and the operating equipment friction data is analyzed and processed according to the updated friction analysis instruction to determine the target operating equipment friction data. The present disclosure updates the friction analysis instruction in real time through the change in the number of analysis result topics of the operating equipment friction data, and analyzes and processes the operating equipment friction data in real time according to the updated friction analysis instruction, thereby realizing intelligent control of the friction force.

[0044] In this embodiment, when the friction data of the operating equipment is analyzed and processed by the preset friction analysis instruction, and the preset friction analysis instruction is updated according to the number of analysis result topics of the friction data of the operating equipment, and the friction data of the operating equipment is analyzed and processed according to the updated friction analysis instruction, there is a problem of inaccurate analysis and processing, which makes it difficult to reliably determine the target operating equipment friction data. In order to improve the above technical problems, the inventors found that in step 200, the friction data of the operating equipment is analyzed and processed by the preset friction analysis instruction, and the preset friction analysis instruction is updated according to the number of analysis result topics of the friction data of the operating equipment, and the friction data of the operating equipment is analyzed and processed according to the updated friction analysis instruction to determine the target operating equipment friction data can specifically include the technical solutions described in the following steps 210-230.

[0045] Step 210: Analyze and process the friction data of the operating equipment through the preset friction analysis instruction, and determine the number of topics according to the first analysis result of the friction data of the operating equipment.

[0046] Step 220: updating the preset friction analysis instruction by the first analysis result topic quantity, and analyzing and processing the operating equipment friction data according to the updated friction analysis instruction to determine the second analysis result topic quantity of the operating equipment friction data.

[0047] Step 230, repeatedly perform the above analysis and processing and update the friction analysis instructions (it should be understood that this is to minimize the impact of related abnormal data) until the number of analysis result topics of the operating equipment friction data meets the update preset instructions, and determine the target operating equipment friction data.

[0048] It should be understood that when executing the technical solution described in steps 210 to 230 above, the friction data of the operating equipment is analyzed and processed by the preset friction analysis instructions, and according to the number of analysis result topics of the friction data of the operating equipment, the preset friction analysis instructions are updated by the number of analysis result topics, and when the friction data of the operating equipment is analyzed and processed according to the updated friction analysis instructions, the problem of inaccurate analysis and processing is improved as much as possible, so that the target operating equipment friction data can be reliably determined.

[0049] In the actual implementation process, the inventors found through research and analysis that when the preset friction analysis instructions are updated by the first analysis result topic number, and the friction data of the operating equipment is analyzed and processed according to the updated friction analysis instructions, there is a problem of inaccurate processing during the processing due to the friction analysis instructions of multiple pulse response functions, which makes it difficult to accurately determine the second analysis result topic number of the friction data of the operating equipment. In order to improve the above technical problems, the step of updating the preset friction analysis instructions by the first analysis result topic number, analyzing and processing the friction data of the operating equipment according to the updated friction analysis instructions, and determining the second analysis result topic number of the friction data of the operating equipment as described in step 220 can specifically include the contents described in the following steps 221 to 224.

[0050] Step 221, determining whether the number of topics in the first analysis result meets the update preset indication.

[0051] Step 222: If the number of topics in the first analysis result does not meet the update preset indication, the preset friction analysis instruction is updated with a first update impulse response function to determine an updated friction analysis instruction.

[0052] Step 223: The first updating impulse response function includes deriving the impulse response function of the preset friction analysis instruction or debugging the impulse response function of the preset friction analysis instruction.

[0053] Step 224: Analyze and process the friction data of the operating equipment according to the updated friction analysis instruction to determine the number of topics of the second analysis result.

[0054] It should be understood that when executing the contents described in the above steps 221 to 224, the preset friction analysis instructions are updated by the first analysis result topic number, and the friction data of the operating equipment is analyzed and processed according to the updated friction analysis instructions. In the process of improving the processing, the problem of inaccurate processing caused by the friction analysis instructions of multiple pulse response functions is improved, so that the second analysis result topic number of the friction data of the operating equipment can be accurately determined.

[0055] When actually implementing the technical solution, the inventor discovered after long-term analysis that when repeatedly executing the above-mentioned analysis processing and updating the friction analysis instructions, there is a problem that too many steps are executed, resulting in the inability to accurately determine whether the number of analysis result topics is debugged, making it difficult to accurately ensure that the number of analysis result topics of the running equipment friction data meets the update preset instructions. In order to improve the above-mentioned technical problem, the step 221 described in repeatedly executing the above-mentioned analysis processing and updating the friction analysis instructions until the number of analysis result topics of the running equipment friction data meets the update preset instructions can specifically include the contents described in the following steps 221a-221c.

[0056] Step 221a: judging whether the number of analysis result topics of the running equipment friction data is debugged by the number of the first analysis result topics and the number of the second analysis result topics.

[0057] Step 221b, if the number of analysis result topics of the friction data of the operating equipment is debugged, the friction analysis instructions are continuously updated with the first update pulse response function, and the above analysis processing and updating friction analysis instruction steps are repeatedly performed until the number of analysis result topics of the friction data of the operating equipment meets the update preset instructions.

[0058] Step 221c, if the number of analysis result topics of the friction data of the operating equipment is derived, the friction analysis instruction is updated with the second updated pulse response function, and the above-mentioned analysis processing and updating steps of the friction analysis instruction are repeatedly performed until the number of analysis result topics of the friction data of the operating equipment meets the update preset indication; the dimensions of the first updated pulse response function and the second updated pulse response function are inconsistent; the second updated pulse response function includes a pulse response function of a debugging friction analysis instruction or a pulse response function of a derived friction analysis instruction.

[0059] It should be understood that when executing the contents described in the above steps 221a-221c, when repeatedly executing the above analysis processing and updating the friction analysis instructions, the problem of not being able to accurately determine whether the number of analysis result topics is debugged due to too many execution steps is improved, thereby being able to accurately ensure that the number of analysis result topics of the friction data of the running equipment meets the update preset instructions.

[0060] Based on the above foundation, before updating the preset friction analysis instruction with the first updated impulse response function and determining the updated friction analysis instruction, the technical solutions described in the following steps a1 and a2 may also be included.

[0061] Step a1, obtaining the directory mining degree of the preset example directory in the operating equipment friction data within a preset time period, and determining the importance mining degree of the importance parsing unit within the preset time period.

[0062] Step a2: compare the impulse response function of the directory mining degree with the impulse response function of the importance mining degree to obtain a comparison result, and determine the first update impulse response function according to the comparison result.

[0063] It should be understood that when executing the technical solutions described in the above steps a1 and a2, the first updated impulse response function can be accurately determined by comparing the impulse response function with the impulse response function of the importance mining degree.

[0064] In this embodiment, when using the comparison result, there is a problem of abnormal update impulse response function, which makes it difficult to accurately determine the first update impulse response function. In order to improve the above technical problem, the step of determining the first update impulse response function through the comparison result described in step a2 can specifically include the technical solutions described in the following steps a21 and a22.

[0065] Step a21, according to the comparison result, if the impulse response function of the directory mining degree is consistent with the impulse response function of the importance mining degree, then determine the first updated impulse response function as the impulse response function for deriving the preset friction analysis instruction.

[0066] Step a22: if the impulse response function of the directory mining degree is inconsistent with the impulse response function of the importance mining degree, determining the first updated impulse response function as the impulse response function for debugging the preset friction analysis instruction.

[0067] It should be understood that when executing the technical solutions described in the above steps a21 and a22, the problem of abnormal update impulse response function is improved, so that the first update impulse response function can be accurately determined.

[0068] In the actual implementation process, the inventors found through research and analysis that the preset friction analysis instruction includes a preset first friction analysis instruction and a preset second friction analysis instruction; the first update pulse response function includes a first update pulse response function and a second update pulse response function; when comparing the pulse response function of the directory mining degree with the pulse response function of the importance mining degree, there is a problem of inaccuracy of the first pulse response function of the directory mining degree, so it is difficult to accurately obtain the comparison result, and determine the first update pulse response function through the comparison result. In order to improve the above technical problems, the preset friction analysis instruction described in step a21 includes a preset first friction analysis instruction and a preset second friction analysis instruction; the first update pulse response function includes a first update pulse response function and a second update pulse response function; the step of comparing the pulse response function of the directory mining degree with the pulse response function of the importance mining degree to obtain the comparison result, and determining the first update pulse response function through the comparison result has a technical solution that can include the following steps s1 and s2.

[0069] Step s1, compare the first impulse response function of the directory mining degree with the first impulse response function of the importance mining degree to obtain a first impulse response function comparison result, and determine the first updated impulse response function through the first impulse response function comparison result; the first updated impulse response function is used to update the preset first friction analysis instruction.

[0070] Step s2, compare the second impulse response function of the directory mining degree with the second impulse response function of the importance mining degree to obtain a second impulse response function comparison result, and determine the second updated impulse response function through the second impulse response function comparison result; the second updated impulse response function is used to update the preset second friction analysis instruction.

[0071] It should be understood that when executing the technical solutions described in the above steps s1 and s2, the preset friction analysis instructions include a preset first friction analysis instruction and a preset second friction analysis instruction; the first update pulse response function includes a first update pulse response function and a second update pulse response function; when comparing the pulse response function of the directory mining degree with the pulse response function of the importance mining degree, the problem of inaccurate first pulse response function of the directory mining degree is improved, so that the comparison result can be accurately obtained, and the first update pulse response function is determined by the comparison result.

[0072] Based on the above foundation, in the step of repeatedly executing the above analysis processing and updating the friction analysis instructions until the number of analysis result topics of the operating equipment friction data meets the update preset instructions and the target operating equipment friction data is determined, the contents described in the following step d1 may also be included.

[0073] Step d1, determining the target friction analysis instruction corresponding to the number of analysis result topics indicated by the update preset instruction, and improving the preset friction attribute catalog by the target friction analysis instruction to obtain an improved friction attribute catalog.

[0074] It should be understood that when executing the content described in the above step d1, the accuracy of the improved friction attribute catalog is improved by improving the preset friction attribute catalog.

[0075] Based on the above, please refer to Figure 2 , provides a coupling-based industrial park equipment friction intelligent control device 200, which is applied to the coupling-based industrial park equipment friction intelligent control system, and the device includes:

[0076] A directory acquisition module 210 is used to acquire the friction data of the operating equipment and a preset friction attribute directory; the preset friction attribute directory includes a preset friction analysis instruction;

[0077] The data determination module 220 is used to analyze and process the friction data of the operating equipment through the preset friction analysis instructions, and update the preset friction analysis instructions according to the number of analysis result topics of the friction data of the operating equipment according to the number of analysis result topics, and analyze and process the friction data of the operating equipment according to the updated friction analysis instructions to determine the target operating equipment friction data.

[0078] Based on the above, please refer to Figure 3 , shows a coupling-based industrial park equipment friction intelligent control system 300, including a processor 310 and a memory 320 that communicate with each other, and the processor 310 is used to read and execute a computer program from the memory 320 to implement the above method.

[0079] Based on the above, a computer-readable storage medium is also provided, on which a computer program stored implements the above method when running.

[0080] In summary, based on the above scheme, by obtaining the friction data of the running equipment and the preset friction attribute directory; the preset friction attribute directory contains the preset friction analysis instruction; the running equipment friction data is analyzed and processed based on the preset friction analysis instruction, and the number of analysis result topics of the running equipment friction data is obtained, the preset friction analysis instruction is updated based on the number of analysis result topics, and the running equipment friction data is analyzed and processed according to the updated friction analysis instruction to determine the target running equipment friction data. The present disclosure updates the friction analysis instruction in real time through the change in the number of analysis result topics of the running equipment friction data, and analyzes and processes the running equipment friction data in real time according to the updated friction analysis instruction, so as to realize the intelligent control of the friction force.

[0081] It should be understood that the system and its modules shown above can be implemented in various ways. For example, in some embodiments, the system and its modules can be implemented by hardware, software, or a combination of software and hardware. Among them, the hardware part can be implemented using dedicated logic; the software part can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or a dedicated design hardware. It should be understood by those skilled in the art that the above methods and systems can be implemented using computer executable instructions and / or included in a processor control code, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. Such code is provided on the carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application can not only be implemented by hardware circuits such as ultra-large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but can also be implemented by software such as executed by various types of processors, and can also be implemented by a combination of the above hardware circuits and software (e.g., firmware).

[0082] It should be noted that different embodiments may produce different beneficial effects. In different embodiments, the beneficial effects that may be produced may be any one or a combination of the above, or may be any other beneficial effects that may be obtained.

[0083] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only for example and does not constitute a limitation of the present application. Although not explicitly stated herein, those skilled in the art may make various modifications, improvements and amendments to the present application. Such modifications, improvements and amendments are suggested in the present application, so such modifications, improvements and amendments still belong to the spirit and scope of the exemplary embodiments of the present application.

[0084] At the same time, the present application uses specific words to describe the embodiments of the present application. For example, "one embodiment", "an embodiment", and / or "some embodiments" refer to a certain feature, structure or characteristic related to at least one embodiment of the present application. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more in different positions in this specification does not necessarily refer to the same embodiment. In addition, some features, structures or characteristics in one or more embodiments of the present application can be appropriately combined.

[0085] In addition, it should be understood by those skilled in the art that various aspects of the present application can be illustrated and described by a number of patentable categories or situations, including any new and useful process, machine, product or combination of substances, or any new and useful improvements thereto. Accordingly, various aspects of the present application can be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may all be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". In addition, various aspects of the present application may be represented as a computer product located in one or more computer-readable media, which includes computer-readable program code.

[0086] A computer storage medium may include a propagated data signal containing computer program code, for example, in baseband or as part of a carrier wave. The propagated signal may be in a variety of forms, including electromagnetic, optical, etc., or a suitable combination. A computer storage medium may be any computer-readable medium other than a computer-readable storage medium, which can be connected to an instruction execution system, device or apparatus to communicate, propagate or transmit the program for use. The program code on the computer storage medium may be transmitted via any suitable medium, including radio, cable, fiber optic cable, RF, or similar media, or any combination of the above media.

[0087] The computer program codes required for the operation of each part of the present application can be written in any one or more programming languages, including object-oriented programming languages ​​such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C++, C#, VB.NET, Python, etc., conventional procedural programming languages ​​such as C language, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, dynamic programming languages ​​such as Python, Ruby and Groovy, or other programming languages, etc. The program code can be run entirely on the user's computer, or run on the user's computer as an independent software package, or run partially on the user's computer and partially on a remote computer, or run entirely on a remote computer or server. In the latter case, the remote computer can be connected to the user's computer through any network form, such as a local area network (LAN) or a wide area network (WAN), or connected to an external computer (e.g., via the Internet), or in a cloud computing environment, or used as a service such as software as a service (SaaS).

[0088] In addition, unless explicitly stated in the claims, the order of the processing elements and sequences described in this application, the use of alphanumeric characters, or the use of other names are not intended to limit the order of the processes and methods of this application. Although the above disclosure discusses some invention embodiments that are currently considered useful through various examples, it should be understood that such details are only for illustrative purposes, and the attached claims are not limited to the disclosed embodiments. On the contrary, the claims are intended to cover all modifications and equivalent combinations that are consistent with the essence and scope of the embodiments of this application. For example, although the system components described above can be implemented by hardware devices, they can also be implemented only by software solutions, such as installing the described system on an existing server or mobile device.

[0089] Similarly, it should be noted that in order to simplify the description of the disclosure of this application and thus help understand one or more embodiments of the invention, in the above description of the embodiments of this application, multiple features are sometimes combined into one embodiment, figure or description thereof. However, this disclosure method does not mean that the features required by the object of this application are more than the features mentioned in the claims. In fact, the features of the embodiments are less than all the features of the single embodiment disclosed above.

[0090] In some embodiments, numbers describing the number of components and attributes are used. It should be understood that such numbers used for the description of the embodiments are modified by the modifiers "about", "approximately" or "substantially" in some examples. Unless otherwise specified, "about", "approximately" or "substantially" indicate that the numbers allow adaptive changes. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, which can be changed according to the required characteristics of individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and adopt the general method of retaining the digits. Although the numerical domains and parameters used to confirm the breadth of the range in some embodiments of the present application are approximate values, in specific embodiments, the setting of such numerical values ​​is as accurate as possible within the feasible range.

[0091] Each patent, patent application, patent application disclosure, and other materials, such as articles, books, instructions, publications, documents, etc., cited in this application are hereby incorporated by reference in their entirety. Except for application history documents that are inconsistent with or conflicting with the content of this application, documents that limit the broadest scope of the claims of this application (currently or later attached to this application) are also excluded. It should be noted that if the descriptions, definitions, and / or use of terms in the attached materials of this application are inconsistent or conflicting with the content described in this application, the descriptions, definitions, and / or use of terms in this application shall prevail.

[0092] Finally, it should be understood that the embodiments described in this application are only used to illustrate the principles of the embodiments of the present application. Other variations may also fall within the scope of the present application. Therefore, as an example and not a limitation, the alternative configurations of the embodiments of the present application may be considered to be consistent with the teachings of the present application. Accordingly, the embodiments of the present application are not limited to the embodiments explicitly introduced and described in the present application.

[0093] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for intelligent friction control of industrial park equipment based on a coupling, characterized in that: Applied to the intelligent friction control system of industrial park equipment based on coupling, the method at least includes: Obtaining operating equipment friction data and a preset friction attribute directory; the preset friction attribute directory includes preset friction analysis instructions; Analyzing and processing the friction data of the operating equipment through the preset friction analysis instruction, and updating the preset friction analysis instruction according to the number of analysis result topics of the friction data of the operating equipment according to the number of analysis result topics, and analyzing and processing the friction data of the operating equipment according to the updated friction analysis instruction to determine the target friction data of the operating equipment; The analyzing and processing the friction data of the running equipment by the preset friction analysis instruction, and updating the preset friction analysis instruction by the number of analysis result topics according to the number of analysis result topics of the friction data of the running equipment, and analyzing and processing the friction data of the running equipment according to the updated friction analysis instruction to determine the target friction data of the running equipment includes: Analyzing and processing the friction data of the operating equipment through the preset friction analysis instruction, and according to the first analysis result of the friction data of the operating equipment, the number of topics; updating the preset friction analysis instruction according to the first analysis result subject quantity, and analyzing and processing the operating equipment friction data according to the updated friction analysis instruction to determine the second analysis result subject quantity of the operating equipment friction data; The above steps of analyzing and processing and updating the friction analysis instruction are repeatedly performed until the number of analysis result subjects of the operating equipment friction data meets the update preset instruction, and the target operating equipment friction data is determined.

2. The method according to claim 1, characterized in that The step of updating the preset friction analysis instruction by using the first analysis result subject quantity, and analyzing and processing the friction data of the operating equipment according to the updated friction analysis instruction to determine the second analysis result subject quantity of the friction data of the operating equipment includes: Determining whether the number of topics in the first analysis result meets the update preset indication; If the number of topics in the first analysis result does not meet the update preset indication, updating the preset friction analysis instruction with a first update impulse response function to determine an updated friction analysis instruction; The first updated impulse response function includes deriving the impulse response function of the preset friction analysis instruction or debugging the impulse response function of the preset friction analysis instruction; The friction data of the operating equipment is analyzed and processed according to the updated friction analysis instruction to determine the number of topics of the second analysis result.

3. The method according to claim 2, characterized in that The step of repeatedly performing the above analysis and updating the friction analysis instruction until the number of analysis result topics of the friction data of the running equipment meets the update preset instruction includes: Judging whether the number of analysis result topics of the running equipment friction data is debugged according to the number of the first analysis result topics and the number of the second analysis result topics; If the number of analysis result topics of the operating equipment friction data is adjusted, continuously updating the friction analysis instruction with the first update impulse response function, and repeatedly performing the above analysis processing and updating the friction analysis instruction steps until the number of analysis result topics of the operating equipment friction data meets the update preset indication; If the number of analysis result topics of the friction data of the operating equipment is derived, the friction analysis instruction is updated with a second updated pulse response function, and the above-mentioned analysis processing and updating steps of the friction analysis instruction are repeatedly performed until the number of analysis result topics of the friction data of the operating equipment meets the update preset instructions; the dimensions of the first updated pulse response function and the second updated pulse response function are inconsistent; the second updated pulse response function includes a pulse response function of a debugging friction analysis instruction or a pulse response function of a derived friction analysis instruction.

4. The method according to claim 2, characterized in that Before updating the preset friction analysis instruction with the first updated impulse response function and determining the updated friction analysis instruction, the method further includes: Obtaining a directory mining degree of a preset example directory in the friction data of the running device within a preset time period, and determining an importance mining degree of an importance parsing unit within the preset time period; The impulse response function of the directory mining degree is compared with the impulse response function of the importance mining degree to obtain a comparison result, and the first update impulse response function is determined according to the comparison result.

5. The method according to claim 4, characterized in that Determining the first updated impulse response function according to the comparison result comprises: According to the comparison result, if the impulse response function of the catalog mining degree is consistent with the impulse response function of the importance mining degree, determining the first updated impulse response function as the impulse response function for deriving the preset friction analysis instruction; If the impulse response function of the directory mining degree is inconsistent with the impulse response function of the importance mining degree, the first updated impulse response function is determined to be an impulse response function for debugging the preset friction analysis instruction.

6. The method according to claim 5, characterized in that The preset friction analysis instruction includes a preset first friction analysis instruction and a preset second friction analysis instruction; the first updated impulse response function includes a first updated impulse response function and a second updated impulse response function; The step of comparing the impulse response function of the directory mining degree with the impulse response function of the importance mining degree to obtain a comparison result, and determining the first update impulse response function according to the comparison result comprises: Compare the first impulse response function of the directory mining degree with the first impulse response function of the importance mining degree to obtain a first impulse response function comparison result, and determine the first updated impulse response function according to the first impulse response function comparison result; the first updated impulse response function is used to update the preset first friction analysis instruction; Compare the second impulse response function of the directory mining degree with the second impulse response function of the importance mining degree to obtain a second impulse response function comparison result, and determine the second updated impulse response function through the second impulse response function comparison result; the second updated impulse response function is used to update the preset second friction analysis instruction.

7. The method according to claim 1, characterized in that In the step of repeatedly performing the above analysis and updating the friction analysis instruction until the number of analysis result topics of the operating equipment friction data meets the update preset instruction and the target operating equipment friction data is determined, the method further includes: A target friction analysis instruction corresponding to the number of analysis result topics indicated by the update preset indication is determined, and the preset friction attribute catalog is improved by the target friction analysis instruction to obtain an improved friction attribute catalog.

8. An intelligent friction control system for industrial park equipment based on a coupling, characterized in that: The invention comprises a processor and a memory communicating with each other, wherein the processor is used to read a computer program from the memory and execute the computer program to implement the method according to any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is run, the method according to any one of claims 1 to 8 is executed.

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