CN105929806A - Industrial data acquisition system - Google Patents
Industrial data acquisition system Download PDFInfo
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- CN105929806A CN105929806A CN201610483479.8A CN201610483479A CN105929806A CN 105929806 A CN105929806 A CN 105929806A CN 201610483479 A CN201610483479 A CN 201610483479A CN 105929806 A CN105929806 A CN 105929806A
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31204—Blind node, executes control, data acquisition without having operator interfaces
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- 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
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention discloses an industrial data acquisition system which comprises on-site data acquisition layers for acquiring on-site industrial data, workshop data acquisition layers for acquiring data of N on-site data acquisition layers with N being a positive integer greater than one, a factory-level data acquisition layer for acquiring data of M workshop data acquisition layers with the M being a positive integer greater than one, and a data processing layer which acquires the data of the on-site data acquisition layers, the workshop data acquisition layers and the factory-level data acquisition layer, and analyzes and processes acquired data. Automatic acquiring of real industrial on-site data is realized, and summarizing and calculating are conducted. The acquisition efficiency is high, the data accuracy is high, and management for managers is facilitated.
Description
Technical field
The present invention relates to industrial processes data processing field, in particular it relates to a kind of industrial data acquisition system.
Background technology
In the prior art, the management of processing is all paid attention to by factory, require working (machining) efficiency and the yield rate in each workshop are added up, but data of the prior art often use and are manually entered, easily there is adulterated composition, and inefficient, it is often necessary to can complete under the urgency of higher level.
In sum, present inventor in realizing the embodiment of the present application during inventive technique scheme, finds that above-mentioned technology at least exists following technical problem:
In the prior art, the existing industrial data statistics technical problem that to there is authenticity poor, inefficient.
Summary of the invention
The invention provides a kind of industrial data acquisition system, solving existing industrial data statistics, to there is authenticity poor, inefficient technical problem, achieve and can gather industrial field data the most really, and carry out collecting and calculating, collecting efficiency is higher, and data accuracy is higher, it is simple to the technique effect that manager is managed.
For solving above-mentioned technical problem, the embodiment of the present application provides industrial data acquisition system, and described system includes:
On-site data gathering layer, described on-site data gathering layer is used for gathering industrial field data；
Workshop data acquisition layer, described workshop data acquisition layer is for gathering the data of N number of on-site data gathering layer, and described N is the positive integer more than or equal to 1；
Level of factory data collection layer, described level of factory data collection layer is for gathering the data of M workshop data acquisition layer, and described M is the positive integer more than or equal to 1；
Data analysis layer, described data analysis layer is used for collection site data collection layer, workshop data acquisition layer, the data of level of factory data collection layer, and is analyzed the data of collection processing.
Wherein, utilize on-site data gathering layer can gather the field data of each station in workshop, then the data of collection are respectively transmitted to shop layer and data analysis layer, and the data that workshop data acquisition layer gathers are data flexibly, because workshop not being each station is all in duty, it is not that each station has been involved in the similar production needing and gathering, therefore the data that workshop data acquisition layer gathers are flexible, authenticity and the accuracy of data acquisition are ensured, it is simple to the accuracy of subsequent calculations；
Further, the data that level of factory data collection layer gathers are from workshop data acquisition layer, and the data that level of factory data collection layer gathers are data flexibly, because workshop not being each workshop is all in stream state, it is not that each workshop has been involved in the similar production needing and gathering, therefore the data that level of factory data collection layer gathers are flexible, ensured authenticity and the accuracy of data acquisition, it is simple to the accuracy of subsequent calculations；
Finally, the data that the data that the transmission of level of factory data collection layer can be come by data analysis layer are come with on-site data gathering layer, the transmission of workshop data acquisition layer compare, if identical, without exception, if differing, there is exception, it is simple to administrative staff quickly note abnormalities source.
Wherein, described on-site data gathering layer specifically includes:
First data acquisition module, described first data acquisition module is for gathering the input workpiece information of station；
Second data acquisition module, described second data acquisition module is for gathering the output workpiece information of station；
3rd data acquisition module, described 3rd data acquisition module is for gathering the technique information of station；
First monitoring module, described first monitoring module is for obtaining the process image information of station；
First transport module, described first transport module is for being transferred to workshop data acquisition layer and data analysis layer by the first data acquisition module, the second data acquisition module, the 3rd data acquisition module, the data of monitoring module collection.
Wherein, described workpiece information includes: workpiece kind, piece count.
Wherein, the difference between output workpiece and input workpiece is utilized can to calculate the yield rate of station.
Wherein, described on-site data gathering layer also includes computing module, described computing module is for based on technique information, corresponding for station processing technology is divided into P procedure of processing, described P is the positive integer more than or equal to 2, first described computing module calculates the process time of each procedure of processing, and is marked, according to workpiece information, the result calculated.Wherein, utilize processing quantity and process time and the process time of each procedure of processing of whole technique can be calculated process time, and calculate working (machining) efficiency, can be so that processing technology being adjusted and workman being carried out skills training according to working (machining) efficiency and graphics processing, it is simple to quickly find to need the workman promoting technical ability technique can need place and the space improved.
Wherein, described data analysis layer is analyzed process specifically includes the data gathered:
First, the data come on-site data gathering layer, workshop data acquisition layer, the transmission of level of factory data collection layer are classified, it may be judged whether have abnormal data；
Then, the data come based on on-site data gathering layer, workshop data acquisition layer, the transmission of level of factory data collection layer, calculate the processing index of scene, workshop, level of factory respectively, processing index includes: working (machining) efficiency and yield rate, and processing index is carried out ranking；
Then, based on identical processing type, image information corresponding for the processing index of top ranked is sent to the processing stations that the minimum processing index of ranking is corresponding.
Wherein, by processing the product of same type, the image transmitting of best station processing done carries out learning and studying to processing poor station, it is easy to this station personnel and quickly improves working (machining) efficiency, automatically transmit over, workman learns voluntarily, it is not necessary to manager instructs wherein, and efficiency is higher.
The one or more technical schemes provided in the embodiment of the present application, at least have the following technical effect that or advantage:
Being designed as including by industrial data acquisition system owing to have employed: on-site data gathering layer, described on-site data gathering layer is used for gathering industrial field data；Workshop data acquisition layer, described workshop data acquisition layer is for gathering the data of N number of on-site data gathering layer, and described N is the positive integer more than or equal to 1；Level of factory data collection layer, described level of factory data collection layer is for gathering the data of M workshop data acquisition layer, and described M is the positive integer more than or equal to 1；Data analysis layer, described data analysis layer is used for collection site data collection layer, workshop data acquisition layer, the data of level of factory data collection layer, and the data of collection are analyzed the technical scheme processed, so, efficiently solving existing industrial data statistics, to there is authenticity poor, inefficient technical problem, and then achieve and can gather industrial field data the most really, and carry out collecting and calculating, collecting efficiency is higher, data accuracy is higher, it is simple to the technique effect that manager is managed.
Accompanying drawing explanation
Fig. 1 is the composition schematic diagram of industrial data acquisition system in the embodiment of the present application one.
Detailed description of the invention
The invention provides a kind of industrial data acquisition system, solving existing industrial data statistics, to there is authenticity poor, inefficient technical problem, achieve and can gather industrial field data the most really, and carry out collecting and calculating, collecting efficiency is higher, and data accuracy is higher, it is simple to the technique effect that manager is managed.
Technical scheme during the application implements is the above-mentioned technical problem of solution.General thought is as follows:
Have employed and be designed as including by industrial data acquisition system: on-site data gathering layer, described on-site data gathering layer is used for gathering industrial field data；Workshop data acquisition layer, described workshop data acquisition layer is for gathering the data of N number of on-site data gathering layer, and described N is the positive integer more than or equal to 1；Level of factory data collection layer, described level of factory data collection layer is for gathering the data of M workshop data acquisition layer, and described M is the positive integer more than or equal to 1；Data analysis layer, described data analysis layer is used for collection site data collection layer, workshop data acquisition layer, the data of level of factory data collection layer, and the data of collection are analyzed the technical scheme processed, so, efficiently solving existing industrial data statistics, to there is authenticity poor, inefficient technical problem, and then achieve and can gather industrial field data the most really, and carry out collecting and calculating, collecting efficiency is higher, data accuracy is higher, it is simple to the technique effect that manager is managed.
In order to be better understood from technique scheme, below in conjunction with Figure of description and specific embodiment, technique scheme is described in detail.
Embodiment one:
In embodiment one, refer to Fig. 1, it is provided that industrial data acquisition system, described system includes:
On-site data gathering layer, described on-site data gathering layer is used for gathering industrial field data；
Workshop data acquisition layer, described workshop data acquisition layer is for gathering the data of N number of on-site data gathering layer, and described N is the positive integer more than or equal to 1；
Level of factory data collection layer, described level of factory data collection layer is for gathering the data of M workshop data acquisition layer, and described M is the positive integer more than or equal to 1；
Data analysis layer, described data analysis layer is used for collection site data collection layer, workshop data acquisition layer, the data of level of factory data collection layer, and is analyzed the data of collection processing.
Wherein, utilize on-site data gathering layer can gather the field data of each station in workshop, then the data of collection are respectively transmitted to shop layer and data analysis layer, and the data that workshop data acquisition layer gathers are data flexibly, because workshop not being each station is all in duty, it is not that each station has been involved in the similar production needing and gathering, therefore the data that workshop data acquisition layer gathers are flexible, authenticity and the accuracy of data acquisition are ensured, it is simple to the accuracy of subsequent calculations；
Further, the data that level of factory data collection layer gathers are from workshop data acquisition layer, and the data that level of factory data collection layer gathers are data flexibly, because workshop not being each workshop is all in stream state, it is not that each workshop has been involved in the similar production needing and gathering, therefore the data that level of factory data collection layer gathers are flexible, ensured authenticity and the accuracy of data acquisition, it is simple to the accuracy of subsequent calculations；
Finally, the data that the data that the transmission of level of factory data collection layer can be come by data analysis layer are come with on-site data gathering layer, the transmission of workshop data acquisition layer compare, if identical, without exception, if differing, there is exception, it is simple to administrative staff quickly note abnormalities source.
Wherein, described on-site data gathering layer specifically includes:
First data acquisition module, described first data acquisition module is for gathering the input workpiece information of station；
Second data acquisition module, described second data acquisition module is for gathering the output workpiece information of station；
3rd data acquisition module, described 3rd data acquisition module is for gathering the technique information of station；
First monitoring module, described first monitoring module is for obtaining the process image information of station；
First transport module, described first transport module is for being transferred to workshop data acquisition layer and data analysis layer by the first data acquisition module, the second data acquisition module, the 3rd data acquisition module, the data of monitoring module collection.
Wherein, described workpiece information includes: workpiece kind, piece count.
Wherein, the difference between output workpiece and input workpiece is utilized can to calculate the yield rate of station.
Wherein, described on-site data gathering layer also includes computing module, described computing module is for based on technique information, corresponding for station processing technology is divided into P procedure of processing, described P is the positive integer more than or equal to 2, first described computing module calculates the process time of each procedure of processing, and is marked, according to workpiece information, the result calculated.Wherein, utilize processing quantity and process time and the process time of each procedure of processing of whole technique can be calculated process time, and calculate working (machining) efficiency, can be so that processing technology being adjusted and workman being carried out skills training according to working (machining) efficiency and graphics processing, it is simple to quickly find to need the workman promoting technical ability technique can need place and the space improved.
Wherein, described data analysis layer is analyzed process specifically includes the data gathered:
First, the data come on-site data gathering layer, workshop data acquisition layer, the transmission of level of factory data collection layer are classified, it may be judged whether have abnormal data；
Then, the data come based on on-site data gathering layer, workshop data acquisition layer, the transmission of level of factory data collection layer, calculate the processing index of scene, workshop, level of factory respectively, processing index includes: working (machining) efficiency and yield rate, and processing index is carried out ranking；
Then, based on identical processing type, image information corresponding for the processing index of top ranked is sent to the processing stations that the minimum processing index of ranking is corresponding.
Wherein, by processing the product of same type, the image transmitting of best station processing done carries out learning and studying to processing poor station, it is easy to this station personnel and quickly improves working (machining) efficiency, automatically transmit over, workman learns voluntarily, it is not necessary to manager instructs wherein, and efficiency is higher.
Technical scheme in above-mentioned the embodiment of the present application, at least has the following technical effect that or advantage:
Being designed as including by industrial data acquisition system owing to have employed: on-site data gathering layer, described on-site data gathering layer is used for gathering industrial field data；Workshop data acquisition layer, described workshop data acquisition layer is for gathering the data of N number of on-site data gathering layer, and described N is the positive integer more than or equal to 1；Level of factory data collection layer, described level of factory data collection layer is for gathering the data of M workshop data acquisition layer, and described M is the positive integer more than or equal to 1；Data analysis layer, described data analysis layer is used for collection site data collection layer, workshop data acquisition layer, the data of level of factory data collection layer, and the data of collection are analyzed the technical scheme processed, so, efficiently solving existing industrial data statistics, to there is authenticity poor, inefficient technical problem, and then achieve and can gather industrial field data the most really, and carry out collecting and calculating, collecting efficiency is higher, data accuracy is higher, it is simple to the technique effect that manager is managed.
Although preferred embodiments of the present invention have been described, but those skilled in the art once know basic creative concept, then these embodiments can be made other change and amendment.So, claims are intended to be construed to include preferred embodiment and fall into all changes and the amendment of the scope of the invention.
Obviously, those skilled in the art can carry out various change and modification without departing from the spirit and scope of the present invention to the present invention.So, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (5)
1. industrial data acquisition system, it is characterised in that described system includes:
On-site data gathering layer, described on-site data gathering layer is used for gathering industrial field data；
Workshop data acquisition layer, described workshop data acquisition layer is for gathering the data of N number of on-site data gathering layer, and described N is the positive integer more than or equal to 1；
Level of factory data collection layer, described level of factory data collection layer is for gathering the data of M workshop data acquisition layer, and described M is the positive integer more than or equal to 1；
Data analysis layer, described data analysis layer is used for collection site data collection layer, workshop data acquisition layer, the data of level of factory data collection layer, and is analyzed the data of collection processing.
Industrial data acquisition system the most according to claim 1, it is characterised in that described on-site data gathering layer specifically includes:
First data acquisition module, described first data acquisition module is for gathering the input workpiece information of station；
Second data acquisition module, described second data acquisition module is for gathering the output workpiece information of station；
3rd data acquisition module, described 3rd data acquisition module is for gathering the technique information of station；
First monitoring module, described first monitoring module is for obtaining the process image information of station；
First transport module, described first transport module is for being transferred to workshop data acquisition layer and data analysis layer by the first data acquisition module, the second data acquisition module, the 3rd data acquisition module, the data of monitoring module collection.
Industrial data acquisition system the most according to claim 2, it is characterised in that described workpiece information includes: workpiece kind, piece count.
Industrial data acquisition system the most according to claim 3, it is characterized in that, described on-site data gathering layer also includes computing module, described computing module is for based on technique information, corresponding for station processing technology is divided into P procedure of processing, described P is the positive integer more than or equal to 2, and first described computing module calculates the process time of each procedure of processing, and is marked, according to workpiece information, the result calculated.
Industrial data acquisition system the most according to claim 4, it is characterised in that described data analysis layer is analyzed process to the data gathered and specifically includes:
First, the data come on-site data gathering layer, workshop data acquisition layer, the transmission of level of factory data collection layer are classified, it may be judged whether have abnormal data；
Then, the data come based on on-site data gathering layer, workshop data acquisition layer, the transmission of level of factory data collection layer, calculate the processing index of scene, workshop, level of factory respectively, processing index includes: working (machining) efficiency and yield rate, and processing index is carried out ranking；
Then, based on identical processing type, image information corresponding for the processing index of top ranked is sent to the processing stations that the minimum processing index of ranking is corresponding.
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| CN201610483479.8A CN105929806A (en) | 2016-06-28 | 2016-06-28 | Industrial data acquisition system |
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| CN201610483479.8A CN105929806A (en) | 2016-06-28 | 2016-06-28 | Industrial data acquisition system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109522352A (en) * | 2018-11-08 | 2019-03-26 | 内蒙古伊泰煤炭股份有限公司 | Industrial data management system and method |
| CN110275488A (en) * | 2018-03-16 | 2019-09-24 | 株式会社理光 | Information processing unit, system, information processing method and recording medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102621969A (en) * | 2012-04-13 | 2012-08-01 | 天津中屹铭科技有限公司 | Factory production management system |
| CN102637031A (en) * | 2012-05-11 | 2012-08-15 | 长沙邦胜电子科技有限公司 | Industrial energy-saving monitoring system based on wireless sensor network |
| EP2778816A1 (en) * | 2013-03-12 | 2014-09-17 | ABB Technology AG | System and method for testing a distributed control system of an industrial plant |
| CN104281132A (en) * | 2014-09-24 | 2015-01-14 | 镇江市高等专科学校 | Information collection system and method for machine manufacturing workshop in production process based on machine vision |
| CN105357299A (en) * | 2015-11-09 | 2016-02-24 | 郑州弗曼智能设备科技有限公司 | Remote monitoring method and system for industrial production |
-
2016
- 2016-06-28 CN CN201610483479.8A patent/CN105929806A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102621969A (en) * | 2012-04-13 | 2012-08-01 | 天津中屹铭科技有限公司 | Factory production management system |
| CN102637031A (en) * | 2012-05-11 | 2012-08-15 | 长沙邦胜电子科技有限公司 | Industrial energy-saving monitoring system based on wireless sensor network |
| EP2778816A1 (en) * | 2013-03-12 | 2014-09-17 | ABB Technology AG | System and method for testing a distributed control system of an industrial plant |
| CN104281132A (en) * | 2014-09-24 | 2015-01-14 | 镇江市高等专科学校 | Information collection system and method for machine manufacturing workshop in production process based on machine vision |
| CN105357299A (en) * | 2015-11-09 | 2016-02-24 | 郑州弗曼智能设备科技有限公司 | Remote monitoring method and system for industrial production |
Non-Patent Citations (1)
| Title |
|---|
| 张芬，等: "离散制造企业MES中的生产数据采集实践", 《机械设计与制造》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110275488A (en) * | 2018-03-16 | 2019-09-24 | 株式会社理光 | Information processing unit, system, information processing method and recording medium |
| CN110275488B (en) * | 2018-03-16 | 2022-07-01 | 株式会社理光 | Information processing apparatus, system, information processing method, and recording medium |
| CN109522352A (en) * | 2018-11-08 | 2019-03-26 | 内蒙古伊泰煤炭股份有限公司 | Industrial data management system and method |
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