CN113569427A - Method and device for detecting service life of intelligent manufacturing equipment and server - Google Patents

Method and device for detecting service life of intelligent manufacturing equipment and server Download PDF

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Publication number
CN113569427A
CN113569427A CN202110927874.1A CN202110927874A CN113569427A CN 113569427 A CN113569427 A CN 113569427A CN 202110927874 A CN202110927874 A CN 202110927874A CN 113569427 A CN113569427 A CN 113569427A
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equipment
information
period
device usage
detected
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CN202110927874.1A
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陈岭
徐高扬
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Taicang Mix Machinery Equipment Co ltd
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Taicang Mix Machinery Equipment Co ltd
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Priority to CN202110927874.1A priority Critical patent/CN113569427A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/04Ageing analysis or optimisation against ageing

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  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
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  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention provides a method, a device and a server for detecting the service life of intelligent manufacturing equipment, which are used for acquiring equipment use information corresponding to a first time period of intelligent manufacturing equipment to be detected; extracting equipment use period information from the equipment use information corresponding to the first time period, and judging whether the intelligent manufacturing equipment to be detected has the equipment remaining life detection requirement or not according to the equipment use period information during initial use and/or the maintained equipment use period information; and if so, completing the detection of the intelligent manufacturing equipment to be detected based on a preset service life detection model. By the design, the service life of the manufacturing equipment can be accurately detected.

Description

Method and device for detecting service life of intelligent manufacturing equipment and server
Technical Field
The invention relates to the technical field of intelligent manufacturing, in particular to a method and a device for detecting the service life of intelligent manufacturing equipment and a server.
Background
At present, no corresponding detection method is provided for the service life of the manufacturing equipment, and most of the detection methods depend on users to observe the use of the equipment to cause faults according to the use conditions (such as service life and maintenance times) of the manufacturing equipment. Thus, the service life of the manufacturing equipment cannot be accurately detected.
Disclosure of Invention
In order to improve the problems, the invention provides a method, a device and a server for detecting the service life of intelligent manufacturing equipment.
A method for detecting a lifetime of a smart manufacturing device, comprising:
acquiring equipment use information corresponding to a first time period of intelligent manufacturing equipment to be detected; extracting device usage cycle information from the device usage information corresponding to the first time period, wherein the device usage cycle information includes: the equipment use period information and/or the maintained equipment use period information during initial use; the device usage period information at the time of initial usage includes: when preparing for initial use within a target period of time, the maintained device usage cycle information includes: at least one of a first maintained set of device usage period information and a second maintained set of device usage period information;
judging whether the intelligent manufacturing equipment to be detected has the requirement for detecting the residual service life of the equipment or not according to the equipment use period information during initial use and/or the maintained equipment use period information;
and if so, completing the detection of the intelligent manufacturing equipment to be detected based on a preset service life detection model.
Wherein, the detection of the intelligent manufacturing equipment to be detected is completed based on the preset service life detection model, and the method comprises the following steps: triggering and executing network parameter adjustment starting operation to acquire equipment use information corresponding to the second time period based on the preset service life detection model; judging whether the equipment use cycle information extracted from the equipment use information corresponding to the second time period has equipment remaining life detection requirements or not; if the judgment result is yes, equipment detection operation is triggered, so that the equipment to be detected intelligent manufacturing equipment is detected based on the equipment use change log information corresponding to the intelligent manufacturing equipment to be detected.
Wherein the determining whether the device usage cycle information extracted from the device usage information corresponding to the second time period has a device remaining life detection requirement includes: judging whether the parameter index corresponding to the equipment use information corresponding to the second time period is consistent with the parameter index of the intelligent manufacturing equipment to be detected; and if so, judging whether the equipment service cycle information extracted from the equipment service information corresponding to the second time period has the equipment remaining life detection requirement.
An apparatus for detecting a lifetime of a smart manufacturing device, comprising:
the device service life acquisition module is used for acquiring device use information corresponding to a first time period of the intelligent manufacturing device to be detected; extracting device usage cycle information from the device usage information corresponding to the first time period, wherein the device usage cycle information includes: the equipment use period information and/or the maintained equipment use period information during initial use; the device usage period information at the time of initial usage includes: when preparing for initial use within a target period of time, the maintained device usage cycle information includes: at least one of a first maintained set of device usage period information and a second maintained set of device usage period information;
the demand detection module is used for judging whether the intelligent manufacturing equipment to be detected has the equipment residual life detection demand or not according to the equipment use period information during initial use and/or the maintained equipment use period information;
and the equipment life detection module is used for finishing the detection of the intelligent manufacturing equipment to be detected based on a preset life detection model if the judgment result is yes.
A server, a processor in the server being operable to perform the method described above.
By applying the method, the device and the server, equipment use information corresponding to the first time period of the intelligent manufacturing equipment to be detected is obtained; extracting device usage cycle information from the device usage information corresponding to the first time period, wherein the device usage cycle information includes: the equipment use period information and/or the maintained equipment use period information during initial use; the device usage period information at the time of initial usage includes: when preparing for initial use within a target period of time, the maintained device usage cycle information includes: at least one of a first maintained set of device usage period information and a second maintained set of device usage period information; judging whether the intelligent manufacturing equipment to be detected has the requirement for detecting the residual service life of the equipment or not according to the equipment use period information during initial use and/or the maintained equipment use period information; and if so, completing the detection of the intelligent manufacturing equipment to be detected based on a preset service life detection model. By the design, the service life of the manufacturing equipment can be accurately detected.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a flowchart of a method for detecting a lifetime of a smart manufacturing device according to an embodiment of the present invention.
Fig. 2 is a functional block diagram of an apparatus for detecting a lifetime of an intelligent manufacturing device according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of a hardware structure of a server according to an embodiment of the present invention.
Detailed Description
In order to better understand the technical solutions of the present invention, the following detailed descriptions of the technical solutions of the present invention are provided with the accompanying drawings and the specific embodiments, and it should be understood that the specific features in the embodiments and the examples of the present invention are the detailed descriptions of the technical solutions of the present invention, and are not limitations of the technical solutions of the present invention, and the technical features in the embodiments and the examples of the present invention may be combined with each other without conflict.
Referring to fig. 1, a method for detecting the lifetime of a smart manufacturing device is shown, which is applied to a server and includes the following steps S11-S13.
Step S11, acquiring equipment use information corresponding to the first time period of the intelligent manufacturing equipment to be detected; and extracting the equipment use period information from the equipment use information corresponding to the first time period.
Wherein the device usage period information includes: the equipment use period information and/or the maintained equipment use period information during initial use; the device usage period information at the time of initial usage includes: when preparing for initial use within a target period of time, the maintained device usage cycle information includes: at least one of the first maintained set of device usage period information and the second maintained set of device usage period information.
And step S12, judging whether the intelligent manufacturing equipment to be detected has the requirement for detecting the residual service life of the equipment or not according to the equipment use period information during initial use and/or the maintained equipment use period information.
And step S13, if the judgment result is yes, the detection of the intelligent manufacturing equipment to be detected is completed based on a preset service life detection model.
Wherein, the detection of the intelligent manufacturing equipment to be detected is completed based on the preset service life detection model, and the method comprises the following steps: triggering and executing network parameter adjustment starting operation to acquire equipment use information corresponding to the second time period based on the preset service life detection model; judging whether the equipment use cycle information extracted from the equipment use information corresponding to the second time period has equipment remaining life detection requirements or not; if the judgment result is yes, equipment detection operation is triggered, so that the equipment to be detected intelligent manufacturing equipment is detected based on the equipment use change log information corresponding to the intelligent manufacturing equipment to be detected.
Wherein the determining whether the device usage cycle information extracted from the device usage information corresponding to the second time period has a device remaining life detection requirement includes: judging whether the parameter index corresponding to the equipment use information corresponding to the second time period is consistent with the parameter index of the intelligent manufacturing equipment to be detected; and if so, judging whether the equipment service cycle information extracted from the equipment service information corresponding to the second time period has the equipment remaining life detection requirement.
Referring to fig. 2, an apparatus 200 for detecting a lifetime of a smart manufacturing device is shown, comprising:
the equipment life acquiring module 210 is configured to acquire equipment use information corresponding to a first time period of the intelligent manufacturing equipment to be detected; extracting device usage cycle information from the device usage information corresponding to the first time period, wherein the device usage cycle information includes: the equipment use period information and/or the maintained equipment use period information during initial use; the device usage period information at the time of initial usage includes: when preparing for initial use within a target period of time, the maintained device usage cycle information includes: at least one of a first maintained set of device usage period information and a second maintained set of device usage period information;
the requirement detection module 220 is configured to determine whether the to-be-detected intelligent manufacturing device has a requirement for detecting the remaining service life of the device according to the device usage period information during initial use and/or the maintained device usage period information;
and the device life detection module 230 is configured to, if the determination result is yes, complete detection of the to-be-detected intelligent manufacturing device based on a preset life detection model.
Fig. 3 is a block diagram illustrating a server 110 according to an embodiment of the present invention. The server 110 in the embodiment of the present invention may be a server with data storage, transmission, and processing functions, as shown in fig. 3, the server 110 includes: memory 111, processor 112, network module 113, and means 200 for detecting the lifetime of the smart manufacturing device.
The memory 111, the processor 112, and the network module 113 are electrically connected directly or indirectly to enable transmission or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 111 stores an apparatus 200 for detecting the lifetime of the smart manufacturing device, the apparatus 200 for detecting the lifetime of the smart manufacturing device includes at least one software functional module which can be stored in the memory 111 in the form of software or firmware (firmware), and the processor 112 executes various functional applications and data processing by running software programs and modules stored in the memory 111, for example, the apparatus 200 for detecting the lifetime of the smart manufacturing device in the embodiment of the present invention, so as to implement the method for detecting the lifetime of the smart manufacturing device in the embodiment of the present invention.
The Memory 111 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 111 is used for storing a program, and the processor 112 executes the program after receiving the execution instruction.
The processor 112 may be an integrated circuit chip having data processing capabilities. The Processor 112 may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like. The various methods, steps and logic blocks disclosed in embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The network module 113 is used for establishing communication connection between the server 110 and other communication terminal devices through a network, and implementing transceiving operation of network signals and data. The network signal may include a wireless signal or a wired signal.
It will be appreciated that the configuration shown in fig. 3 is merely illustrative and that server 110 may include more or fewer components than shown in fig. 3 or have a different configuration than shown in fig. 3. The components shown in fig. 3 may be implemented in hardware, software, or a combination thereof.
An embodiment of the present invention also provides a computer-readable storage medium, which includes a computer program. The computer program controls the server 110 on which the readable storage medium is executed to perform the above-mentioned method.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus and method embodiments described above are illustrative only, as the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention or a part thereof, which essentially contributes to the prior art, can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, an electronic device 10, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims (5)

1. A method for detecting a lifetime of a smart manufacturing device, comprising:
acquiring equipment use information corresponding to a first time period of intelligent manufacturing equipment to be detected; extracting device usage cycle information from the device usage information corresponding to the first time period, wherein the device usage cycle information includes: the equipment use period information and/or the maintained equipment use period information during initial use; the device usage period information at the time of initial usage includes: when preparing for initial use within a target period of time, the maintained device usage cycle information includes: at least one of a first maintained set of device usage period information and a second maintained set of device usage period information;
judging whether the intelligent manufacturing equipment to be detected has the requirement for detecting the residual service life of the equipment or not according to the equipment use period information during initial use and/or the maintained equipment use period information;
and if so, completing the detection of the intelligent manufacturing equipment to be detected based on a preset service life detection model.
2. The method according to claim 1, wherein the completing the detection of the to-be-detected smart manufacturing equipment based on the preset life detection model comprises: triggering and executing network parameter adjustment starting operation to acquire equipment use information corresponding to the second time period based on the preset service life detection model; judging whether the equipment use cycle information extracted from the equipment use information corresponding to the second time period has equipment remaining life detection requirements or not; if the judgment result is yes, equipment detection operation is triggered, so that the equipment to be detected intelligent manufacturing equipment is detected based on the equipment use change log information corresponding to the intelligent manufacturing equipment to be detected.
3. The method of claim 2, wherein the determining whether the device usage cycle information extracted from the device usage information corresponding to the second time period has a device remaining life detection requirement comprises: judging whether the parameter index corresponding to the equipment use information corresponding to the second time period is consistent with the parameter index of the intelligent manufacturing equipment to be detected; and if so, judging whether the equipment service cycle information extracted from the equipment service information corresponding to the second time period has the equipment remaining life detection requirement.
4. An apparatus for detecting a lifetime of a smart manufacturing device, comprising:
the device service life acquisition module is used for acquiring device use information corresponding to a first time period of the intelligent manufacturing device to be detected; extracting device usage cycle information from the device usage information corresponding to the first time period, wherein the device usage cycle information includes: the equipment use period information and/or the maintained equipment use period information during initial use; the device usage period information at the time of initial usage includes: when preparing for initial use within a target period of time, the maintained device usage cycle information includes: at least one of a first maintained set of device usage period information and a second maintained set of device usage period information;
the demand detection module is used for judging whether the intelligent manufacturing equipment to be detected has the equipment residual life detection demand or not according to the equipment use period information during initial use and/or the maintained equipment use period information;
and the equipment life detection module is used for finishing the detection of the intelligent manufacturing equipment to be detected based on a preset life detection model if the judgment result is yes.
5. A server, a processor in the server being operable to perform the method of any of the preceding claims 1-3.
CN202110927874.1A 2021-08-13 2021-08-13 Method and device for detecting service life of intelligent manufacturing equipment and server Withdrawn CN113569427A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110927874.1A CN113569427A (en) 2021-08-13 2021-08-13 Method and device for detecting service life of intelligent manufacturing equipment and server

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110927874.1A CN113569427A (en) 2021-08-13 2021-08-13 Method and device for detecting service life of intelligent manufacturing equipment and server

Publications (1)

Publication Number Publication Date
CN113569427A true CN113569427A (en) 2021-10-29

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Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110927874.1A Withdrawn CN113569427A (en) 2021-08-13 2021-08-13 Method and device for detecting service life of intelligent manufacturing equipment and server

Country Status (1)

Country Link
CN (1) CN113569427A (en)

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Application publication date: 20211029

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