CN111369382A - Intelligent textile data processing system - Google Patents
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- CN111369382A CN111369382A CN202010130902.2A CN202010130902A CN111369382A CN 111369382 A CN111369382 A CN 111369382A CN 202010130902 A CN202010130902 A CN 202010130902A CN 111369382 A CN111369382 A CN 111369382A
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- 238000012545 processing Methods 0.000 title claims abstract description 65
- 239000004753 textile Substances 0.000 title claims abstract description 42
- 238000013500 data storage Methods 0.000 claims abstract description 33
- 238000007405 data analysis Methods 0.000 claims abstract description 17
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- 238000004458 analytical method Methods 0.000 claims abstract description 15
- 238000007726 management method Methods 0.000 claims abstract description 14
- 230000008569 process Effects 0.000 claims abstract description 13
- 238000011144 upstream manufacturing Methods 0.000 claims abstract description 7
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- 230000002159 abnormal effect Effects 0.000 claims description 6
- 238000013480 data collection Methods 0.000 claims description 6
- 238000013079 data visualisation Methods 0.000 claims description 5
- 238000007781 pre-processing Methods 0.000 claims description 5
- 238000003860 storage Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 5
- 230000008447 perception Effects 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 229920000742 Cotton Polymers 0.000 description 2
- 230000009545 invasion Effects 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000009987 spinning Methods 0.000 description 2
- 241000700605 Viruses Species 0.000 description 1
- 230000002860 competitive effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 238000002716 delivery method Methods 0.000 description 1
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Abstract
The invention provides an intelligent textile data processing system, which comprises: the system comprises a data sensing module, a data coordination module, a big data processing module, a big data analysis module and a big data storage module; after information enters a system, the data sensing module identifies and judges data, and judges whether the data belongs to textile industry data or not and the data safety degree; the data collaboration module classifies and dispatches the identified data; the big data analysis module analyzes the dispatched data and knows the upstream and downstream requirements; the big data processing module processes the analyzed data to generate a management decision requirement and a management decision target; and the big data storage module stores the original data transmitted by the platform and the data after analysis and processing. Therefore, the method can automatically identify and classify according to the received data, quickly respond, and has very important function on providing a solution with high efficiency and high accuracy required by the textile industry.
Description
Technical Field
The invention relates to the technical field of spinning, in particular to an intelligent data processing system for spinning.
Background
China is a large country for textile production and export, and has obvious competitive advantages after years of precipitation. However, with the coming of informatization, the textile industry has a lot of challenges with information technology, internet convergence degree and the like, which also provides a new space for the development of the textile industry. For example, the market trend is changed into that medium and small-batch orders are rapidly increased, the safety of pattern color, fineness and quality is gradually improved, and the delivery cycle is compressed. Based on the traditional production management process, the demand is difficult to be known in time, and corresponding service is difficult to be provided in time.
Therefore, in the intelligentized modern day, the commercial value of the textile industry in the aspects of data warehouse, data security, data analysis, data mining and the like around big data is more important, how to quickly and accurately know the upstream and downstream markets and make adjustment through intelligent decision has very important significance.
Disclosure of Invention
The invention aims to provide an intelligent textile data processing system which can quickly and accurately identify information and make a demand target to realize the digitization of the textile industry.
Based on this, the invention provides an intelligent data processing system for textile, comprising: the system comprises a data sensing module, a data coordination module, a big data processing module, a big data analysis module and a big data storage module; after information enters a system, the data sensing module identifies and judges data, and judges whether the data belongs to textile industry data or not and the data safety degree; the data collaboration module classifies and dispatches the identified data; the big data analysis module analyzes the dispatched data and knows the upstream and downstream requirements; the big data processing module processes the analyzed data to generate a management decision requirement and a management decision target; and the big data storage module stores the original data transmitted by the platform and the data after analysis and processing.
Optionally, for the intelligent textile data processing system, the data sensing module makes an abnormal judgment and a safety judgment on the entered information, and if the entered information is normal, safe and reliable data, the data sensing module receives and marks the category, and transmits the category to the data coordination module for classification and distribution; if the data is abnormal and unsafe, the system automatically does not receive the data.
Optionally, for the intelligent textile data processing system, the big data storage module stores original data of data which is automatically not accepted by the system.
Optionally, for the intelligent textile data processing system, the big data storage module further stores data processed by the big data processing module.
Optionally, for the intelligent textile data processing system, the big data processing module mainly includes data collection, data preprocessing, data storage, data processing and analysis, data display/data visualization, and data application.
Optionally, for the intelligent textile data processing system, the large data storage module stores data sets which are difficult to collect, process or analyze and have a number meeting a set standard for a medium-long term.
Optionally, for the intelligent textile data processing system, the medium-long term is greater than or equal to 6 months.
Compared with the prior art, the intelligent textile data processing system provided by the invention comprises: the system comprises a data sensing module, a data coordination module, a big data processing module, a big data analysis module and a big data storage module; the big data analysis module and the big data storage module; after information enters a system, the data sensing module identifies and judges data, and judges whether the data belongs to textile industry data or not and the data safety degree; the data collaboration module classifies and dispatches the identified data; the big data analysis module analyzes the dispatched data and knows the upstream and downstream requirements; the big data processing module processes the analyzed data to generate a management decision requirement and a management decision target; and the big data storage module stores the original data transmitted by the platform and the data after analysis and processing. Therefore, the method can automatically identify and classify according to the received data, quickly respond, and has very important function on providing a solution with high efficiency and high accuracy required by the textile industry.
Drawings
FIG. 1 is a block diagram of an intelligent textile data processing system according to an embodiment of the present invention.
Detailed Description
A textile intelligence data processing system of the present invention will now be described in more detail with reference to the schematic drawings, in which preferred embodiments of the invention are shown, it being understood that one skilled in the art may modify the invention herein described while still achieving the advantageous effects of the invention. Accordingly, the following description should be construed as broadly as possible to those skilled in the art and not as limiting the invention.
The invention is described in more detail in the following paragraphs by way of example with reference to the accompanying drawings. Advantages and features of the present invention will become apparent from the following description and from the claims. It is to be noted that the drawings are in a very simplified form and are not to precise scale, which is merely for the purpose of facilitating and distinctly claiming the embodiments of the present invention.
The invention provides an intelligent textile data processing system, as shown in fig. 1, comprising: the system comprises a data sensing module, a data coordination module, a big data processing module, a big data analysis module and a big data storage module; after information enters a system, the data sensing module identifies and judges data, and judges whether the data belongs to textile industry data or not and the data safety degree; the data collaboration module classifies and dispatches the identified data; the big data analysis module analyzes the dispatched data and knows the upstream and downstream requirements; the big data processing module processes the analyzed data to generate a management decision requirement and a management decision target; and the big data storage module stores the original data transmitted by the platform and the data after analysis and processing.
In the embodiment of the invention, the data sensing module makes abnormity judgment and safety judgment on the entered information, if the entered information is normal, safe and reliable data, the data sensing module receives and marks the type of the entered information, and transmits the data to the data coordination module for classification and distribution; if the data is abnormal and unsafe, the system automatically does not receive the data.
In one embodiment, keywords may be set for industry field screening, and for example, the data sensing module may have a function of a firewall to intercept harmful information.
For example, information transmitted by six business systems, namely a transaction system, an intelligent cotton distribution and yarn distribution system, a scientific research resource support system, a government consultation system, a logistics storage system and a financial service system, is sensed by the data sensing module and judged after reaching a specified software interface.
The data perception also has the function of guaranteeing the operation safety of the textile industry platform, the textile intelligent data processing system has safety problems of unsafe network invasion, virus invasion and the like in the construction process and the operation process, the textile industry platform comprises a large number of devices with different types, different functions and different performances, the service life of each device is different, and by means of the data perception module, abnormal data can be found in time, and possible loss is avoided. Therefore, the method has great significance for IT maintenance and safety guarantee of the system.
Therefore, the data perception can identify and classify all input information of the intelligent textile data processing system and guarantee safety.
In addition, in one embodiment of the invention, the system automatically stores the raw data of the data which is not accepted in the big data storage module.
Specifically, the big data storage module can be used for storing data sets which reach a set standard in quantity, are difficult to collect, process or analyze for a medium-long term by means of a computer. For example, it may be stored in an intelligent database.
In one embodiment, the big data storage module may be a solid state storage, such as a common computer hard disk storage. In one embodiment, the big data storage module may employ cloud storage, such as a cloud server employing amazon or the like.
And the big data storage module also stores the data processed by the big data processing module.
Further, the big data storage module also stores data from a supplier transaction system, an MES system, a logistics center, a platform maintenance system, a scientific research center, a consultation service system, an ERP system, a financial service system, a distributor data management system, a buyer transaction system and the like.
In the present example, the medium-long term is 6 months or more. For some data collection, which is not easy and occurs less frequently, but relatively important data, storage can be performed year-round.
In one embodiment, the big data storage module is capable of storing data in categories. The same or similar types of data are stored in the same block (e.g., different hard disks, or different folders).
Furthermore, in the invention, the data perception module, the data cooperation module, the big data processing module and the big data analysis module can store data into the big data storage module for backup in the respective processing processes. Depending on the actual situation, a shorter storage time or a longer storage time may be set in order to provide better data security.
In one embodiment of the present invention, the big data analysis may be an analysis of data with large data Volume (Volume), fast speed (Velocity), multiple types (Velocity), Value (Value), and authenticity (Veracity). For example, the system relates to customer requirements, supplier lists, logistics data, distributor lists, production data, scientific research data, intelligent cotton distribution and yarn distribution.
In an embodiment of the present invention, the flow of the big data processing module mainly includes data collection, data preprocessing, data storage, data processing and analysis, data display/data visualization, data application, and other links, where the data quality runs through the whole big data flow, and each data processing link affects the big data quality. The collected data are subjected to a plurality of processing flows, then deep analysis of management decision requirement information is carried out, the target of big data processing and analysis is determined, and the usability, the value and the user requirement of a big data analysis result are guaranteed to be met.
In the present invention, for example, the data classification processing for the information collected on the ten ports and transmitted through the six traffic systems may be performed.
In one embodiment of the invention, the big data processing module mainly comprises data collection, data preprocessing, data storage, data processing and analysis, data presentation/data visualization and data application.
For example, the big data processing module may display the processed data on a display screen to visually display the processed result.
The data collection of the big data processing module mainly aims at data needing to be processed, and data support is obtained from the inside or the outside, for example, data are called from a big data storage module in the intelligent textile data processing system of the big data processing module, or other related data are obtained through networking. The data preprocessing relates to rough analysis of collected specific data, and the data with high correlation is screened out, so that irrelevant data is avoided. After the coarse analysis, the remaining data is stored, for example, in the big data storage module. The remaining data is then processed and analyzed in detail, which may give the desired results and possible problems depending on the actual requirements, such as material selection, capital budget, time, delivery method, etc. The data display and data visualization are to display the expected result, so that the demander or the supervisor can learn the progress in time.
In summary, the intelligent textile data processing system provided by the present invention includes: the system comprises a data sensing module, a data coordination module, a big data processing module and a big data analysis module; after information enters a system, the data sensing module identifies and judges data, and judges whether the data belongs to textile industry data or not and the data safety degree; the data collaboration module classifies and dispatches the identified data; the big data analysis module analyzes the dispatched data and knows the upstream and downstream requirements; the big data processing module processes the analyzed data to generate a management decision requirement and a management decision target; and the big data storage module stores the original data transmitted by the platform and the data after analysis and processing. Therefore, the method can automatically identify and classify according to the received data, quickly respond, and has very important function on providing a solution with high efficiency and high accuracy required by the textile industry.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (7)
1. A textile intelligent data processing system comprising: the system comprises a data sensing module, a data coordination module, a big data processing module, a big data analysis module and a big data storage module; after information enters a system, the data sensing module identifies and judges data, and judges whether the data belongs to textile industry data or not and the data safety degree; the data collaboration module classifies and dispatches the identified data; the big data analysis module analyzes the dispatched data and knows the upstream and downstream requirements; the big data processing module processes the analyzed data to generate a management decision requirement and a management decision target; and the big data storage module stores the original data transmitted by the platform and the data after analysis and processing.
2. The intelligent textile data processing system according to claim 1, wherein the data sensing module makes an abnormal judgment and a safety judgment on the entered information, and if the entered information is normal, safe and reliable data, the data sensing module receives and marks the category and transmits the category to the data coordination module for classification and distribution; if the data is abnormal and unsafe, the system automatically does not receive the data.
3. The intelligent textile data processing system according to claim 2, wherein the big data storage module performs raw data storage on data which is not automatically accepted by the system.
4. The intelligent data processing system for textile according to claim 3, wherein the big data storage module further stores data processed by the big data processing module.
5. The intelligent textile data processing system of claim 1, wherein the big data processing module mainly comprises data collection, data preprocessing, data storage, data processing and analysis, data presentation/data visualization, and data application.
6. The intelligent textile data processing system according to claim 3, wherein the big data storage module is used for storing data sets which are up to a set standard, difficult to collect, difficult to process or difficult to analyze for a medium-long term.
7. The intelligent textile data processing system according to claim 6, wherein the medium-long term is greater than or equal to 6 months.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010130902.2A CN111369382A (en) | 2020-02-28 | 2020-02-28 | Intelligent textile data processing system |
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| CN202010130902.2A CN111369382A (en) | 2020-02-28 | 2020-02-28 | Intelligent textile data processing system |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107918818A (en) * | 2016-10-10 | 2018-04-17 | 香港纺织及成衣研发中心有限公司 | Supply chain management DSS based on big data technology |
| CN108288098A (en) * | 2018-01-10 | 2018-07-17 | 圣泓工业设计创意有限公司 | Woven fabric equipment management system based on weaving data knowledge library |
-
2020
- 2020-02-28 CN CN202010130902.2A patent/CN111369382A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107918818A (en) * | 2016-10-10 | 2018-04-17 | 香港纺织及成衣研发中心有限公司 | Supply chain management DSS based on big data technology |
| CN108288098A (en) * | 2018-01-10 | 2018-07-17 | 圣泓工业设计创意有限公司 | Woven fabric equipment management system based on weaving data knowledge library |
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| 张洁等: ""大数据驱动的纺织智能制造平台架构"", 《纺织学报》 * |
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