CN111680857A - Equipment data management analysis platform and method - Google Patents
Equipment data management analysis platform and method Download PDFInfo
- Publication number
- CN111680857A CN111680857A CN202010101821.XA CN202010101821A CN111680857A CN 111680857 A CN111680857 A CN 111680857A CN 202010101821 A CN202010101821 A CN 202010101821A CN 111680857 A CN111680857 A CN 111680857A
- Authority
- CN
- China
- Prior art keywords
- data
- equipment
- data management
- initial
- analysis platform
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 53
- 238000013523 data management Methods 0.000 title claims abstract description 48
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000004519 manufacturing process Methods 0.000 claims abstract description 44
- 230000008569 process Effects 0.000 claims abstract description 21
- 238000007405 data analysis Methods 0.000 claims abstract description 16
- 238000003860 storage Methods 0.000 claims abstract description 14
- 230000006872 improvement Effects 0.000 claims abstract description 13
- 238000007689 inspection Methods 0.000 claims description 10
- 238000012423 maintenance Methods 0.000 claims description 6
- 238000013461 design Methods 0.000 abstract description 15
- 238000005457 optimization Methods 0.000 abstract description 10
- 238000004891 communication Methods 0.000 description 10
- 230000005540 biological transmission Effects 0.000 description 7
- 238000004590 computer program Methods 0.000 description 7
- 238000012545 processing Methods 0.000 description 5
- 238000013480 data collection Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 238000011161 development Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 238000012938 design process Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 244000144972 livestock Species 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Manufacturing & Machinery (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- General Factory Administration (AREA)
Abstract
The invention discloses a device data management analysis platform and a method, wherein the device data management analysis platform comprises: the first equipment data acquisition module is used for acquiring initial data generated in the manufacturing process of equipment; the second equipment data acquisition module is used for acquiring equipment operation data and operation environment data in the equipment operation process; the storage module is used for storing the initial data, the equipment operation data and the operation environment data; and the analysis module is used for analyzing the initial data, the equipment operation data and the operation environment data to obtain a process improvement scheme or an operation guarantee scheme of the equipment. According to the equipment data management analysis platform and the method, a design optimization data basis can be provided for equipment manufacturing enterprises, and specific index requirements of the design optimization of equipment manufacturing and the operation guarantee analysis of production operation are analyzed by relying on data assets and data analysis computing capacity of a cloud platform; and effective guarantee is provided for stable operation of equipment using enterprises.
Description
Technical Field
The invention relates to the field of equipment data management and analysis, in particular to an equipment data management and analysis platform and method.
Background
With the development of the internet and cloud computing, the traditional equipment manufacturing industry has a brand-new development opportunity by combining with the internet technology. In the existing production process of non-standard equipment of a large gear box, equipment manufacturers deliver the produced equipment to users after the production of the equipment is finished, the subsequent running state and running data of the equipment cannot be mastered by equipment manufacturers, the health condition of the produced equipment at the equipment users cannot be known, and the equipment can only participate in inspection manually in the maintenance period or after the equipment fails. Meanwhile, the user of the equipment cannot master or cannot master the data of production, inspection, test run and the like before the equipment leaves the factory, and the problem that the analysis of fault causes is difficult when the equipment fails is faced.
Disclosure of Invention
The invention provides an equipment data management analysis platform and an equipment data management analysis method, which can provide a design optimization data basis for equipment manufacturing enterprises, and analyze specific index requirements for the design optimization of equipment manufacturing and the operation guarantee of production operation by relying on the data assets and data analysis computing capacity of a cloud platform; and effective guarantee is provided for stable operation of equipment using enterprises.
According to an aspect of the present invention, there is provided an equipment data management analysis platform, including:
the first equipment data acquisition module is used for acquiring initial data generated in the manufacturing process of equipment;
the second equipment data acquisition module is used for acquiring equipment operation data and operation environment data in the equipment operation process;
the storage module is used for storing the initial data, the equipment operation data and the operation environment data;
and the analysis module is used for analyzing the initial data, the equipment operation data and the operation environment data to obtain a process improvement scheme or an operation guarantee scheme of the equipment.
In one embodiment of the invention, the initial data comprises production data, inspection data or commissioning data.
In one embodiment of the invention, the operational data includes operating temperature, operating duration, equipment status, fault location or service record.
In one embodiment of the invention, the operating environment data includes temperature and humidity of the operating environment.
In an embodiment of the present invention, the analysis module analyzes the initial data, the equipment operation data and the operation environment data based on a preset model to obtain a process improvement plan or an operation guarantee plan of the equipment.
According to another aspect of the present invention, there is provided a device data management analysis method, including:
acquiring initial data generated in the manufacturing process by equipment;
acquiring equipment operation data and operation environment data in the equipment operation process;
and analyzing the initial data, the equipment operation data and the operation environment data to obtain a process improvement scheme or an operation guarantee scheme of the equipment.
In one embodiment of the invention, the initial data comprises production data, inspection data or commissioning data.
In one embodiment of the invention, the operational data includes operating temperature, operating duration, equipment status, fault location or service record.
In one embodiment of the invention, the operating environment data includes temperature and humidity of the operating environment.
In an embodiment of the present invention, the analysis module analyzes the initial data, the equipment operation data and the operation environment data based on a preset model to obtain a process improvement plan or an operation guarantee plan of the equipment.
According to the equipment data management analysis platform and the method, a design optimization data basis can be provided for equipment manufacturing enterprises, and specific index requirements of the design optimization of equipment manufacturing and the operation guarantee analysis of production operation are analyzed by relying on data assets and data analysis computing capacity of a cloud platform; and effective guarantee is provided for stable operation of equipment using enterprises.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic structural diagram of an exemplary electronic device for implementing a device data management analysis platform and method in accordance with embodiments of the present invention;
FIG. 2 is a block diagram of an apparatus data management analysis platform according to an embodiment of the present invention;
FIG. 3 is an example of an application of the device data management analytics platform according to an embodiment of the present invention;
fig. 4 is a schematic flow chart of a device data management analysis method according to an embodiment of the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. In the following description, numerous specific details are set forth in order to provide a more thorough understanding of the present invention. It will be apparent, however, to one skilled in the art, that embodiments of the invention may be practiced without one or more of these specific details. In other instances, well-known features have not been described in detail so as not to obscure the embodiments of the invention.
The relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise. Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate. In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
In order to make the objects, technical solutions and advantages of the present invention more apparent, exemplary embodiments according to the present invention will be described in detail below with reference to the accompanying drawings. It is to be understood that the described embodiments are merely a subset of embodiments of the invention and not all embodiments of the invention, with the understanding that the invention is not limited to the example embodiments described herein. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the invention described herein without inventive step, shall fall within the scope of protection of the invention.
An example electronic device 100 for implementing an animal data management analysis platform and method according to an embodiment of the invention will first be described with reference to fig. 1.
As shown in fig. 1, electronic device 100 includes one or more processors 102, one or more memory devices 104, input/output devices 106, and a communication interface 108. It should be noted that the components and structure of the electronic device 100 shown in fig. 1 are only exemplary and not limiting, and the electronic device may have other components and structures, or may not include some of the aforementioned components, for example, may include or may not include a display unit, as needed.
The processor 102 generally represents any type or form of processing unit capable of processing data or interpreting and executing instructions. In general, the processor may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 100 to perform desired functions. In particular embodiments, processor 102 may receive instructions from a software application or module. These instructions may cause processor 102 to perform the functions of one or more of the example embodiments described and/or illustrated herein.
The storage 104 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, Random Access Memory (RAM), cache memory (cache), and/or the like. The non-volatile memory may include, for example, Read Only Memory (ROM), hard disk, flash memory, etc. On which one or more computer program instructions may be stored that may be executed by processor 102 to implement client-side functionality (implemented by the processor) and/or other desired functionality in embodiments of the invention described below. Various applications and various data, such as various data used and/or generated by the applications, may also be stored in the computer-readable storage medium.
The input/output device 106 may be a device used by a user to input instructions and output various information to the outside, for example, the input device may include one or more of a keyboard, a mouse, a microphone, a touch screen, and the like. The output devices may include one or more of a display, speakers, and the like.
For example, an example electronic device for implementing the device data management analysis platform and method according to the embodiment of the present invention may be implemented as various computer apparatuses or servers or cloud service apparatuses.
Fig. 2 is a schematic structural block diagram of an apparatus data management analysis platform according to an embodiment of the present invention. The following describes an apparatus data management analysis platform according to an embodiment of the present invention with reference to fig. 2.
As shown in fig. 2, the device data management analysis platform 200 according to the embodiment of the present invention includes a first device data collection module 210, a second device data collection module 220, a storage module 230, and an analysis module 240.
The first device data collection module 210 is used to collect initial data of the device during manufacturing. Illustratively, the initial data includes production data, inspection data, or commissioning data. That is, data such as production, inspection, test run and the like before the equipment leaves the factory are uploaded to the equipment data management analysis platform 200, and the first equipment data acquisition module 210 acquires and stores the data.
The second device data collection module 220 is used for collecting device operation data and operation environment data during the operation of the device. Illustratively, the operational data includes operating temperature, operating duration, equipment status or fault location, maintenance records, and the like. Illustratively, the operating environment data includes temperature and humidity of the operating environment. The operation data may be detected by various sensors or monitoring modules configured in the device itself or by a sensor or a detecting module added separately, and the monitored operation data is uploaded to the device data management analysis platform 200. The operating environment data may be monitored by a sensor or a monitoring module configured in the operating environment, and the monitored operating environment data is uploaded to the device data management analysis platform 200, and the second device data acquisition module 220 acquires and stores the data.
The storage module 230 is used for storing the initial data, the device operation data and the operation environment data. The storage module 230 may be volatile memory and/or non-volatile memory. The volatile memory may include, for example, Random Access Memory (RAM), cache memory (cache), and/or the like. The non-volatile memory may include, for example, Read Only Memory (ROM), hard disk, flash memory, etc.
The analysis module 240 is configured to analyze the initial data, the equipment operation data and the operation environment data to obtain a process improvement plan or an operation guarantee plan of the equipment. Illustratively, the analysis module 240 analyzes the initial data, the equipment operation data and the operation environment data based on a preset model to obtain a process improvement plan or an operation guarantee plan of the equipment. For example, the fault and weakness of the equipment are analyzed through a preset model according to the initial data, the operation data and the operation environment data of the equipment, the improved process of the design equipment is simulated, and the design process is successfully combined with the production operation data. Or through the full-period data analysis and the operation environment simulation of the production and operation of the equipment, the design quality of the transmission equipment product is improved, and the operation guarantee level of the equipment is improved. The preset model is, for example, a neural network model, and the preset model may be a model trained in advance, or a model trained by full-period data of a production run of the equipment.
An example of an application of the device data management analysis platform according to the present invention is shown in fig. 3, and in this embodiment, a transmission device is taken as an example for description. The manufacturing enterprise of the transmission equipment uploads initial data (data such as production, inspection, trial run and the like) of the production stage of the transmission equipment to an equipment data management and analysis platform through an access equipment data management and analysis platform, and the operation enterprise 1-4 of the transmission equipment accesses the equipment data management and analysis platform to upload operation data, maintenance records and operation environment data of the transmission equipment to the equipment data management and analysis platform, and the equipment data management and analysis platform analyzes the acquired initial data, row data, maintenance records and operation environment data of the transmission equipment.
According to the equipment data management analysis platform, the trial run test data of equipment manufacturing enterprises are brought into the equipment operation guarantee, the equipment production operation data participates in the production manufacturing process product design, the key indexes of the equipment production and operation guarantee are analyzed according to the equipment full-period operation data, so that a design optimization data basis can be provided for the equipment manufacturing enterprises, and the specific index requirements of the equipment manufacturing design optimization and production operation guarantee analysis are met by relying on the data assets and data analysis computing capacity of the cloud platform; and effective guarantee is provided for stable operation of equipment using enterprises.
Fig. 4 is a schematic flow chart of a device data management analysis method according to an embodiment of the present invention. As shown in fig. 4, the device data management analysis method according to the embodiment of the present invention includes the following steps:
in step 301, an acquisition device generates initial data during a manufacturing process.
In one embodiment of the invention, the initial data comprises production data, inspection data or commissioning data.
In one embodiment of the invention, the operational data includes operating temperature, operating duration, equipment status, fault location or service record.
In one embodiment of the invention, the operating environment data includes temperature and humidity of the operating environment.
And step 303, analyzing the initial data, the equipment operation data and the operation environment data to obtain a process improvement scheme or an operation guarantee scheme of the equipment.
In an embodiment of the present invention, the analysis module analyzes the initial data, the equipment operation data and the operation environment data based on a preset model to obtain a process improvement plan or an operation guarantee plan of the equipment.
In addition, an embodiment of the present invention further provides an apparatus data management and analysis apparatus, which includes a memory, a processor, and a computer program stored in the memory and running on the processor, where the processor implements the steps of the method shown in fig. 4 when executing the program.
Furthermore, according to an embodiment of the present invention, a storage medium is further provided, on which program instructions are stored, and when the program instructions are executed by a computer or a processor, the program instructions are used to execute corresponding steps of the device data management analysis method according to an embodiment of the present invention, and are used to implement corresponding units or modules of the device data management analysis platform according to an embodiment of the present invention. The storage medium may include, for example, a hard disk of a personal computer, a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a portable compact disc read-only memory (CD-ROM), a USB memory, or any combination of the above. The computer-readable storage medium may be any combination of one or more computer-readable storage media.
The device data management analysis method according to an embodiment of the present invention may be implemented by a processor of an electronic device, a server, an apparatus for implementing a livestock transportation management method according to an embodiment of the present invention running computer program instructions stored in a memory, or may be implemented when computer instructions stored in a computer readable storage medium of a computer program product according to an embodiment of the present invention are run by a computer.
According to the equipment data management analysis platform and the method, a design optimization data basis can be provided for equipment manufacturing enterprises, and specific index requirements of the design optimization of equipment manufacturing and the operation guarantee analysis of production operation are analyzed by relying on data assets and data analysis computing capacity of a cloud platform; and effective guarantee is provided for stable operation of equipment using enterprises.
Although the illustrative embodiments have been described herein with reference to the accompanying drawings, it is to be understood that the foregoing illustrative embodiments are merely exemplary and are not intended to limit the scope of the invention thereto. Various changes and modifications may be effected therein by one of ordinary skill in the pertinent art without departing from the scope or spirit of the present invention. All such changes and modifications are intended to be included within the scope of the present invention as set forth in the appended claims.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the units is only one logical functional division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another device, or some features may be omitted, or not executed.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the invention and aiding in the understanding of one or more of the various inventive aspects. However, the method of the present invention should not be construed to reflect the intent: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
It will be understood by those skilled in the art that all of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where such features are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. It will be appreciated by those skilled in the art that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some of the modules in an item analysis apparatus according to embodiments of the present invention. The present invention may also be embodied as apparatus programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
The above description is only for the specific embodiment of the present invention or the description thereof, and the protection scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and the changes or substitutions should be covered within the protection scope of the present invention. The protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An equipment data management analysis platform, comprising:
the first equipment data acquisition module is used for acquiring initial data generated in the manufacturing process of equipment;
the second equipment data acquisition module is used for acquiring equipment operation data and operation environment data in the equipment operation process;
the storage module is used for storing the initial data, the equipment operation data and the operation environment data;
and the analysis module is used for analyzing the initial data, the equipment operation data and the operation environment data to obtain a process improvement scheme or an operation guarantee scheme of the equipment.
2. The equipment data management analysis platform of claim 1, wherein the initial data comprises production data, inspection data, or commissioning data.
3. The equipment data management and analysis platform of claim 1, wherein the operational data comprises operational temperature, operational duration, equipment status, fault location, or maintenance records.
4. The device data management analysis platform of claim 1, wherein the operating environment data comprises a temperature, a humidity of an operating environment.
5. The equipment data management and analysis platform according to any one of claims 1 to 4, wherein the analysis module analyzes the initial data, the equipment operation data and the operation environment data based on a preset model to obtain a process improvement scheme or an operation guarantee scheme of the equipment.
6. An equipment data management analysis method is characterized by comprising the following steps:
acquiring initial data generated in the manufacturing process by equipment;
acquiring equipment operation data and operation environment data in the equipment operation process;
and analyzing the initial data, the equipment operation data and the operation environment data to obtain a process improvement scheme or an operation guarantee scheme of the equipment.
7. The device data management analysis method of claim 6, wherein the initial data comprises production data, inspection data, commissioning data, or maintenance records.
8. The device data management analysis method of claim 6, wherein the operational data comprises an operational temperature, an operational duration, a device status, or a fault location.
9. The device data management analysis method according to claim 6, wherein the operating environment data includes temperature and humidity of an operating environment.
10. The plant data management and analysis method according to any one of claims 6 to 9, wherein the initial data, the plant operation data and the operation environment data are analyzed based on a preset model to obtain a process improvement plan or an operation guarantee plan of the plant.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010101821.XA CN111680857A (en) | 2020-02-19 | 2020-02-19 | Equipment data management analysis platform and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010101821.XA CN111680857A (en) | 2020-02-19 | 2020-02-19 | Equipment data management analysis platform and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111680857A true CN111680857A (en) | 2020-09-18 |
Family
ID=72433207
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010101821.XA Pending CN111680857A (en) | 2020-02-19 | 2020-02-19 | Equipment data management analysis platform and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111680857A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008070918A (en) * | 2006-09-12 | 2008-03-27 | Matsushita Electric Ind Co Ltd | Production management system |
| CN205507465U (en) * | 2016-04-15 | 2016-08-24 | 深圳市南斗环保节能科技有限公司 | Power management monitored control system |
| US20180181923A1 (en) * | 2016-12-28 | 2018-06-28 | Yokogawa Electric Corporation | Maintenance management device, maintenance management method, and non-transitory computer readable storage medium |
| CN108320119A (en) * | 2018-01-24 | 2018-07-24 | 深圳友朋智能商业科技有限公司 | A kind of management system |
| EP3361341A1 (en) * | 2017-02-13 | 2018-08-15 | Siemens Aktiengesellschaft | Method for monitoring the conditions of the devices of an automation system and operator system |
| CN110349067A (en) * | 2019-06-26 | 2019-10-18 | 中国船舶重工集团公司第七一九研究所 | A kind of intelligent operational system and method for ocean nuclear power platform |
| CN110806734A (en) * | 2019-11-08 | 2020-02-18 | 河北大多科技有限公司 | Real-time intelligent inspection system for industrial equipment |
-
2020
- 2020-02-19 CN CN202010101821.XA patent/CN111680857A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2008070918A (en) * | 2006-09-12 | 2008-03-27 | Matsushita Electric Ind Co Ltd | Production management system |
| CN205507465U (en) * | 2016-04-15 | 2016-08-24 | 深圳市南斗环保节能科技有限公司 | Power management monitored control system |
| US20180181923A1 (en) * | 2016-12-28 | 2018-06-28 | Yokogawa Electric Corporation | Maintenance management device, maintenance management method, and non-transitory computer readable storage medium |
| EP3361341A1 (en) * | 2017-02-13 | 2018-08-15 | Siemens Aktiengesellschaft | Method for monitoring the conditions of the devices of an automation system and operator system |
| CN108320119A (en) * | 2018-01-24 | 2018-07-24 | 深圳友朋智能商业科技有限公司 | A kind of management system |
| CN110349067A (en) * | 2019-06-26 | 2019-10-18 | 中国船舶重工集团公司第七一九研究所 | A kind of intelligent operational system and method for ocean nuclear power platform |
| CN110806734A (en) * | 2019-11-08 | 2020-02-18 | 河北大多科技有限公司 | Real-time intelligent inspection system for industrial equipment |
Non-Patent Citations (1)
| Title |
|---|
| 高峰;孝本康;张艳丰;于晓蕾;: "设备数字化管理系统的设计与实施", 设备管理与维修, no. 01, pages 12 - 13 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6636071B2 (en) | Computer mounting method, computer system and computer device | |
| US11416768B2 (en) | Feature processing method and feature processing system for machine learning | |
| CN107330080B (en) | Data processing method and device and computer equipment applying same | |
| CN112393931B (en) | Detection method, detection device, electronic equipment and computer readable medium | |
| CN110336838B (en) | Account abnormity detection method, device, terminal and storage medium | |
| WO2020228283A1 (en) | Feature extraction method and apparatus, and computer readable storage medium | |
| CN112597062B (en) | Military software structured quality data extraction method and device and software testing device | |
| US10884892B2 (en) | Non-transitory computer-readable storage medium, display control method and display control device for observing anomolies within data | |
| CN115358155A (en) | Power big data abnormity early warning method, device, equipment and readable storage medium | |
| KR20230121798A (en) | Systems and methods for monitoring water quality | |
| CN107153702A (en) | A kind of data processing method and device | |
| CN110136841B (en) | Disease onset prediction method, device and computer readable storage medium | |
| CN114565328B (en) | AGC frequency modulation performance assessment method and device | |
| CN113343361A (en) | Intelligent monitoring method, device and equipment for vehicle body size and storage medium | |
| CN111679808A (en) | RPA robot application requirement evaluation method and device | |
| CN113641567B (en) | Database inspection method and device, electronic equipment and storage medium | |
| JP7095988B2 (en) | Abnormality monitoring system, anomaly monitoring method and program | |
| CN111680857A (en) | Equipment data management analysis platform and method | |
| CN117149565A (en) | State detection method, device, equipment and medium for key performance indexes of cloud platform | |
| CN105868252A (en) | User behavior data processing method and apparatus | |
| CN115099425A (en) | Remote detection method for electromechanical equipment maintenance | |
| CN111859058A (en) | Method and device for acquiring environmental data, storage medium and electronic device | |
| CN114112819A (en) | Method and device for measuring ore grinding granularity | |
| CN109492928B (en) | Method and device for constructing forest fire risk prediction model | |
| CN110955196A (en) | Processing method and system for production process index data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |