CN109685227A - A kind of industrial equipment lubricated system and processing method based on big data - Google Patents
A kind of industrial equipment lubricated system and processing method based on big data Download PDFInfo
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- CN109685227A CN109685227A CN201910127216.7A CN201910127216A CN109685227A CN 109685227 A CN109685227 A CN 109685227A CN 201910127216 A CN201910127216 A CN 201910127216A CN 109685227 A CN109685227 A CN 109685227A
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- 238000003672 processing method Methods 0.000 title claims abstract description 12
- 238000005461 lubrication Methods 0.000 claims abstract description 130
- 238000003745 diagnosis Methods 0.000 claims abstract description 23
- 238000012423 maintenance Methods 0.000 claims abstract description 11
- 238000012545 processing Methods 0.000 claims abstract description 9
- 239000002199 base oil Substances 0.000 claims abstract description 7
- 239000010687 lubricating oil Substances 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 8
- 238000004590 computer program Methods 0.000 claims description 7
- 238000012216 screening Methods 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 6
- 238000011022 operating instruction Methods 0.000 claims description 5
- 239000002253 acid Substances 0.000 claims description 3
- 230000001050 lubricating effect Effects 0.000 abstract description 5
- 238000005299 abrasion Methods 0.000 description 4
- 238000007726 management method Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
Classifications
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- 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
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- Engineering & Computer Science (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
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- Quality & Reliability (AREA)
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- Tourism & Hospitality (AREA)
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- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention belongs to industrial equipment lubricating areas, disclose a kind of industrial equipment lubricated system and processing method based on big data, including uploading unit, query unit, diagnosis unit, lubrication unit, processing unit；The information such as the performance of the case where uploading unit uploads industrial equipment lubrication for user and base oil, establish raw data base；Query unit is for inquiring related lubrication base knowledge and lubrication operation etc.；Diagnosis unit is used to collect the data of storage industrial equipment faulty lubrication, failure, establishes database, and the information and database uploaded according to query unit compares, and judges the actual conditions of equipment lubrication；Lubrication unit establishes lubrication database, the lubrication information sent according to diagnosis unit and database carry out in this regard, determining lubrication operation and scheme for collecting storage industrial equipment lubricated maintenance data.The present invention scientific and effective can recommend lubrication strategies to user by the setting of above system.
Description
Technical field
The invention belongs to industrial equipment lubricating area more particularly to a kind of industrial equipment lubricated systems based on big data
System and processing method, i.e., virtual lubrication engineering teacher.
Background technique
Currently, the prior art commonly used in the trade is such that
The operation of most of industrial equipment long period high loads, thus it is good lubrication be industrial equipment health run for a long time can
By ensureing, avoids equipment because of parking caused by insufficient lubrication, bring unnecessary economic loss.Currently, equipment lubrication handle it is past
Past is the self-examination, diagnosis and amendment by lubrication engineering teacher, but lubrication engineering teacher inevitably can be because of knowledge deposit
Deficiency, very can not accurately judge position and the reason of lubrication failure, there is certain limitation, also without recommend
The effective ways of lubricated increase the probability of equipment failure.
In conclusion problem of the existing technology is:
(1) in the prior art, most suitable lubrication strategies cannot be elected according to the storage that industrial equipment lubricates big data, causes to determine
Lubrication failure relevant issues cannot solve in time.
In the prior art, cannot accomplish that user is allowed to screen suitable equipment according to the hobby of oneself, to equipment lubrication management
Low SI.
Summary of the invention
Aiming at the problem that existing lubricating system timely and effectively cannot provide lubrication strategies, the present invention provides one kind to be based on
The industrial equipment lubricated system and processing method of big data.Solving present lubricated system cannot timely and effectively mention
The problem of for lubrication strategies, solves the probability of equipment failure.
The invention is realized in this way a kind of industrial equipment lubricated system based on big data include uploading unit,
Query unit, diagnosis unit, lubrication unit, processing unit.
The uploading unit uploads the basic condition of industrial equipment lubrication and the classification and performance of base oil for user
Etc. information, establish the raw data base of sorted users；
The query unit carries out equipment correlation lubrication base knowledge information and lubrication operation operating instruction information for user
Inquiry, and the information of inquiry is sent to diagnosis unit；
The diagnosis unit, which is used to collect, stores different equipment lubrication failure data, establishes lubrication failure document data base, root
It is compared according to the information come transmitted by the query unit with the information of data bank, judges the actual conditions of equipment lubrication,
And send relevant information to the lubrication unit.
The lubrication unit, which is used to collect, stores different industrial equipment lubrication data, establishes lubrication document data base, root
The information and lubrication document data base sent according to the diagnosis unit compares, and determines lubrication strategies, and information is sent
To the processing unit.
The processing unit be used for according to transmitted by above-mentioned uploading unit, query unit, diagnosis unit and lubrication unit come
Information carry out comprehensive analysis, establish the lubrication database of user, and recommended suitable lubrication strategies.
Further, the query unit includes lubricating oil physicochemical property unit, wear unit, the lubricating oil physicochemical property list
Member is for inquiring a series of basic datas such as viscosity, acid value, moisture and open flash point of industrial equipment lubricating oil；The abrasion is single
Member is for inquiring the abrasion loss in industrial equipment greasing.
Further, the situation of equipment lubrication is divided into three classes by the diagnosis unit: lubrication is good, lubrication is general, lubrication compared with
Difference.
Further, the lubricated unit is equipped with secret unit, the relevant information for safeguard industries user.
Further, the lubricated unit is equipped with maintenance unit, protects for timed reminding user after the treatment
Support to maintain equipment.
Further, the lubricated unit is equipped with price unit, pays in greasing for calculating
Price.
Further, the lubricated unit is equipped with screening unit, and user can select suitable lubrication side with real-time perfoming
Case.
Further, the lubricated unit is equipped with real-time perfoming and seeks help unit, does not include for current system
Lubrication strategies, user carry out seeking help for new departure.
Another object of the present invention is to provide a kind of industrial equipment lubrication processing method based on big data
User uploads classification and the performance information of industrial equipment lubrication information and base oil, establishes the original number of sorted users
According to library；
User carries out equipment correlation lubrication base knowledge information and the inquiry of lubrication operation operating instruction information；
It collects and stores different equipment lubrication fail messages, lubrication failure document data base is established, according to transmitted by query unit
Information and the information of data bank compare, judge the actual conditions of equipment lubrication；
It collects and stores different industrial equipment lubrication information, establish lubrication document data base, the information sent according to diagnosis unit
It is compared with lubrication document data base, determines lubrication strategies；And comprehensive analysis is carried out, the lubrication database of user is established, and
Recommend lubrication strategies.
Another object of the present invention is to provide a kind of industrial equipment lubricated computer program based on big data, described
Industrial equipment lubricated computer program based on big data realizes the industrial equipment lubricated based on big data
Method.
Another object of the present invention is to provide a kind of terminal, the terminal carrying industrial equipment profit based on big data
The processor of sliding processing method.
Another object of the present invention is to provide a kind of computer readable storage medium, including instruction, when its on computers
When operation, so that computer executes the industrial equipment lubrication processing method based on big data.
In conclusion advantages of the present invention and good effect have:
The present invention lubricates the storage of big data according to industrial equipment, by comparison, to elect most suitable lubrication strategies, more
With comprehensive and specific aim, this makes it possible to the schemes for quickly and effectively recommending maintenance, to solve lubrication failure relevant issues.
The present invention is equipped with secrecy, maintenance, screening and real-time perfoming and seeks help unit, has both accomplished safeguard industries equipment in this way
Related data, and ensure the information of user, the setting of screening unit can allow user to be sieved according to the hobby of oneself
The mode for being suitble to equipment is selected, the setting for unit of seeking help can allow user to obtain the help of senior lubrication engineering teacher, improve to equipment
Lubricating management is horizontal.
Detailed description of the invention
Fig. 1 is the structure chart of the industrial equipment lubricated system provided in an embodiment of the present invention based on big data.
Fig. 2 is the query unit structure chart of one embodiment provided in an embodiment of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not used to
Limit the present invention.
In the prior art, most suitable lubrication strategies cannot be elected according to the storage that industrial equipment lubricates big data, caused
Certainly lubrication failure relevant issues cannot solve in time.
In the prior art, cannot accomplish that user is allowed to screen suitable equipment according to the hobby of oneself, to equipment lubrication management
Low SI.
In order to solve the problems existing in the prior art, below with reference to concrete scheme, the present invention is described in detail.
As shown in Figure 1, industrial equipment lubricated system of the offer of the embodiment of the present invention based on big data includes:
Uploading unit, query unit, diagnosis unit, lubrication unit, processing unit.
The uploading unit uploads the relevant information of industrial equipment for user, including device model, using the time and
The information such as the classification and performance of base oil, and establish the raw data base of sorted users；The query unit is user according to setting
Standby real-time perfoming specifying information, by system queries tool, to inquire related lubrication base knowledge and lubrication operation operation rule
Journey, and the information being queried is sent to the diagnosis unit；The diagnosis unit, which is used to collect, stores different equipment lubrications
Failure data establishes lubrication failure document data base, according to transmitted by the query unit come information come the letter with data bank
Breath compares, and judges the actual conditions of equipment lubrication, and sends relevant information to the lubrication unit.The lubrication unit
Different industrial equipment lubrication data is stored for collecting, lubrication document data base is established, is sent according to the diagnosis unit
Information and lubrication document data base compare, determine lubrication strategies, and send information to the processing unit.
The processing unit be used for according to transmitted by above-mentioned uploading unit, query unit, diagnosis unit and lubrication unit come
Information carry out comprehensive analysis, establish the lubrication database of user, and recommended suitable lubrication strategies.
As the preferred embodiment of the present invention, such as Fig. 2, the query unit includes lubricating oil physicochemical property unit, abrasion list
Member, the lubricating oil physicochemical property unit is for inquiring a system such as viscosity, acid value, moisture and open flash point of industrial equipment lubricating oil
Column basic data；The wear unit is used for the abrasion loss inquired in industrial equipment greasing.
As the preferred embodiment of the present invention, the situation of equipment lubrication is divided into three classes by the diagnosis unit: lubrication is good, moistens
It is sliding general, lubrication is poor, the foundation of lubricating status judgement is judged according to device temperature and vibration.
As the preferred embodiment of the present invention, the lubricated unit is equipped with secret unit, for safeguard industries user's
The cipher mode of relevant information, the encrypting module is liked according to oneself by user to choose, and the loss of information is avoided.
As the preferred embodiment of the present invention, the lubricated unit is equipped with maintenance unit, for after the treatment
Timed reminding user's maintenance equipment, the maintenance mode can be the handled place crossed of maintenance, be also possible to maintain whole
A equipment.
As the preferred embodiment of the present invention, the lubricated unit is equipped with price unit, for calculating in greasing
The price paid.
As the preferred embodiment of the present invention, the lubricated unit is equipped with screening unit, and user can be selected with real-time perfoming
Suitable lubrication strategies, the mode screened can sort according to time, difficulty and expense out, and the screening technique can be with
It is one of single screening, is also possible to many of screen together.
As the preferred embodiment of the present invention, the lubricated unit is equipped with real-time perfoming and seeks help unit, for being currently
The lubrication strategies that system is not included, user carry out seeking help for new departure, are also possible to when user is using lubricated scheme,
It encounters problems in treatment process.It can be sought help by seeking help module to other people, assist to complete treatment process.Therefore the help mode
It can be publication help information, be also possible to seek help to online user, to be helped.
In embodiments of the present invention, the present invention provides a kind of industrial equipment lubrication processing method based on big data and includes:
User uploads classification and the performance information of industrial equipment lubrication information and base oil, establishes the original number of sorted users
According to library.
User carries out equipment correlation lubrication base knowledge information and the inquiry of lubrication operation operating instruction information.
It collects and stores different equipment lubrication fail messages, lubrication failure document data base is established, according to query unit institute
The information of transmission and the information of data bank compare, and judge the actual conditions of equipment lubrication.
It collects and stores different industrial equipment lubrication information, establish lubrication document data base, sent according to diagnosis unit
Information and lubrication document data base compare, and determine lubrication strategies；And comprehensive analysis is carried out, establish the lubrication data of user
Library, and recommend lubrication strategies.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or any combination thereof real
It is existing.When using entirely or partly realizing in the form of a computer program product, the computer program product include one or
Multiple computer instructions.When loading on computers or executing the computer program instructions, entirely or partly generate according to
Process described in the embodiment of the present invention or function.The computer can be general purpose computer, special purpose computer, computer network
Network or other programmable devices.The computer instruction may be stored in a computer readable storage medium, or from one
Computer readable storage medium is transmitted to another computer readable storage medium, for example, the computer instruction can be from one
A web-site, computer, server or data center pass through wired (such as coaxial cable, optical fiber, Digital Subscriber Line (DSL)
Or wireless (such as infrared, wireless, microwave etc.) mode is carried out to another web-site, computer, server or data center
Transmission).The computer-readable storage medium can be any usable medium or include one that computer can access
The data storage devices such as a or multiple usable mediums integrated server, data center.The usable medium can be magnetic Jie
Matter, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state hard disk Solid
State Disk (SSD)) etc..
The foregoing is merely illustrative of the preferred embodiments of the present invention, and the purpose is to allow be familiar with the those skilled in the art
It cans understand the content of the present invention and implement it accordingly, can not limited the scope of the invention with this.It is all of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within spirit and principle.
Claims (10)
1. a kind of industrial equipment lubricated system based on big data, which is characterized in that the industry based on big data is set
Include: for lubricated system
Uploading unit uploads classification and the performance information of industrial equipment lubrication information and base oil for user, establishes classification
The raw data base of user；
Query unit carries out equipment correlation lubrication base knowledge information for user and lubrication operation operating instruction information is looked into
It askes, and the information of inquiry is sent to diagnosis unit；
Diagnosis unit stores different equipment lubrication fail message for collecting, establishes lubrication failure document data base, according to looking into
The information for asking information and data bank transmitted by unit compares, and judges the actual conditions of equipment lubrication, and by relevant information
It is sent to lubrication unit；
Lubrication unit stores different industrial equipment lubrication information for collecting, establishes lubrication document data base, single according to diagnosis
The information and lubrication document data base that member is sent compare, and determine lubrication strategies, and send information to processing unit；
Processing unit is integrated for the information according to transmitted by uploading unit, query unit, diagnosis unit and lubrication unit
Analysis, establishes the lubrication database of user, and recommend lubrication strategies.
2. the industrial equipment lubricated system based on big data as described in claim 1, which is characterized in that query unit packet
Lubricating oil physicochemical property unit, wear unit are included, the lubricating oil physicochemical property unit is for inquiring industrial equipment lubricating oil
The basic data of viscosity, acid value, moisture and open flash point；The wear unit is used for the mill inquired in industrial equipment greasing
Damage amount；
Lubricated unit is equipped with maintenance unit, the relevant information for safeguard industries user.
3. the industrial equipment lubricated system based on big data as described in claim 1, it is characterised in that: lubricated list
Member is equipped with maintenance unit, for timed reminding user maintenance equipment after the treatment.
4. the industrial equipment lubricated system according to claim 1 based on big data, which is characterized in that lubricated
Unit is equipped with price unit, for calculating the price paid in greasing.
5. the industrial equipment lubricated system based on big data as described in claim 1, which is characterized in that lubricated list
Member is equipped with screening unit, screens lubrication strategies for user's real-time perfoming.
6. the industrial equipment lubricated system based on big data as described in claim 1, which is characterized in that lubricated list
Member is equipped with real-time perfoming and seeks help unit, and for the lubrication strategies that current system is not included, user carries out seeking help for new departure.
7. a kind of industry based on big data of the industrial equipment lubricated system based on big data as described in claim 1
Equipment lubrication processing method, which is characterized in that the industrial equipment lubrication processing method based on big data includes:
User uploads classification and the performance information of industrial equipment lubrication information and base oil, establishes the original number of sorted users
According to library；
User carries out equipment correlation lubrication base knowledge information and the inquiry of lubrication operation operating instruction information；
It collects and stores different equipment lubrication fail messages, lubrication failure document data base is established, according to transmitted by query unit
Information and the information of data bank compare, judge the actual conditions of equipment lubrication；
It collects and stores different industrial equipment lubrication information, establish lubrication document data base, the information sent according to diagnosis unit
It is compared with lubrication document data base, determines lubrication strategies；And comprehensive analysis is carried out, the lubrication database of user is established, and
Recommend lubrication strategies.
8. a kind of industrial equipment lubricated computer program based on big data, which is characterized in that described based on big data
Industrial equipment lubricated computer program realizes the industrial equipment lubricated side as claimed in claim 7 based on big data
Method.
9. a kind of terminal, which is characterized in that the terminal is carried at the industrial equipment lubrication based on big data described in claim 7
The processor of reason method.
10. a kind of computer readable storage medium, including instruction, when run on a computer, so that computer executes such as
Industrial equipment lubrication processing method as claimed in claim 7 based on big data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910127216.7A CN109685227A (en) | 2019-02-20 | 2019-02-20 | A kind of industrial equipment lubricated system and processing method based on big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910127216.7A CN109685227A (en) | 2019-02-20 | 2019-02-20 | A kind of industrial equipment lubricated system and processing method based on big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109685227A true CN109685227A (en) | 2019-04-26 |
Family
ID=66196526
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910127216.7A Pending CN109685227A (en) | 2019-02-20 | 2019-02-20 | A kind of industrial equipment lubricated system and processing method based on big data |
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002296151A (en) * | 2001-03-29 | 2002-10-09 | Osaka Gas Co Ltd | Equipment diagnostic system, equipment diagnostic method and equipment diagnostic program using lubricating oil |
| CN103729747A (en) * | 2014-01-24 | 2014-04-16 | 林帼瑜 | Engine personalized maintenance plan recommendation system and method and personalized maintenance system |
| CN107306272A (en) * | 2016-04-14 | 2017-10-31 | 刘中清 | A kind of used-oil remote monitoring system and application based on cloud platform |
| CN108564183A (en) * | 2018-04-24 | 2018-09-21 | 许谐兴 | A kind of agricultural machinery fault processing system based on big data |
-
2019
- 2019-02-20 CN CN201910127216.7A patent/CN109685227A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002296151A (en) * | 2001-03-29 | 2002-10-09 | Osaka Gas Co Ltd | Equipment diagnostic system, equipment diagnostic method and equipment diagnostic program using lubricating oil |
| CN103729747A (en) * | 2014-01-24 | 2014-04-16 | 林帼瑜 | Engine personalized maintenance plan recommendation system and method and personalized maintenance system |
| CN107306272A (en) * | 2016-04-14 | 2017-10-31 | 刘中清 | A kind of used-oil remote monitoring system and application based on cloud platform |
| CN108564183A (en) * | 2018-04-24 | 2018-09-21 | 许谐兴 | A kind of agricultural machinery fault processing system based on big data |
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| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190426 |
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| RJ01 | Rejection of invention patent application after publication |