CN204790999U - Big data acquisition of industry and processing system - Google Patents
Big data acquisition of industry and processing system Download PDFInfo
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- CN204790999U CN204790999U CN201520540506.1U CN201520540506U CN204790999U CN 204790999 U CN204790999 U CN 204790999U CN 201520540506 U CN201520540506 U CN 201520540506U CN 204790999 U CN204790999 U CN 204790999U
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Abstract
The utility model belongs to the technical field of big data, particularly, involve a big data acquisition of industry and processing system. It includes data acquisition module, the next machine, cloud platform and host computer, data processing module, data storage module A, communication module A and the power module A who links to each other with control module is drawn together to the next press packed bale, the data acquisition module links to each other with control module, the host computer includes data analysis module, data storage module B, communication module B and the power module B who links to each other with control module B, the cloud platform is as intermediary, the information or the instruction of storage host computer or the next machine. Compared with the prior art, big data acquisition of industry and processing system simplify the data message and suitable sign, pass to cloud system all on again for the processing time, and data information capacity diminishes, helps the system stable.
Description
Technical field
The utility model belongs to large data technique field, specifically, relates to the large Data Collection of a kind of industry and disposal system.
Background technology
Large data refer to it is that the new tupe of needs just can have stronger decision edge, the magnanimity seeing clearly discovery power and process optimization ability, high growth rate and diversified information assets.Large data technique by the information that is hidden in mass data and knowledge excavation out, for the socio-economic activity of the mankind provides foundation, thus can improve the operational efficiency of every field, greatly improves the intensive degree of entire society's economy.The strategic importance of large data technique does not lie in grasps huge data message, and is to carry out specialization process to these containing significant data.In other words, if large data are compared to a kind of industry, so this industry realizes the key of profit, is to improve " working ability " to data, is realized " increment " of data by " processing ".Large data processing gordian technique generally comprises large data acquisition and processing (DAP).
Large data acquisition refer to obtained by modes such as RFID rf data, sensing data, social networks interaction data and mobile Internet datas various types of structurings, semi-structured (or being referred to as weak structure) and non-structured mass data, be the basic of large data knowledge service model.The existing large data collection techniques such as the highly reliable data of emphasis Gonna breakthrough distributed type high speed crawl or gather, high-speed data is videoed entirely.Large number processes the operation such as discrimination, extraction, cleaning mainly completed data accepted, to data by filtering " denoising " thus extracting valid data, with storer, the data collected are stored simultaneously, set up corresponding database, line pipe of going forward side by side is managed and is called.Large number process mainly solves the storing of large data, can represent, can process, reliability and effective several key issue such as transmission.
The large data of industry are keys that futurity industry is made the most of the advantage in global market competition.The practice processes of various countries' manufacturing industry innovation strategy is all collection and the signature analysis of the large data of industry, and as the carefree environment that future manufacturing systems is built.The large data of industry have the feature of conventional large data, but it is then more strict to the requirement of system on Data Collection and process.More or less there is unstable properties in the large Data Collection of the industry of developing at present and disposal system, the problems such as speed is slow.
Summary of the invention
For solving the problems of the technologies described above, the utility model provides a kind of stable performance and the large Data Collection of speed industry efficiently and disposal system.
The large Data Collection of a kind of industry described in the utility model and disposal system, described system comprises data collection module 1, slave computer 2, cloud platform 3 and host computer 4; Described slave computer 2 comprises the data processing module 22, data memory module A23, communication module A24 and the power module A25 that are connected with control module 21; Described data collection module 1 is connected with control module 21; Described host computer 4 comprises the data analysis module 41, data memory module B42, communication module B43 and the power module B44 that are connected with control module B45; Described cloud platform 3, as intermediary, stores information or the instruction of host computer 2 or slave computer 3.
The large Data Collection of a kind of industry described in the utility model and disposal system, described data collection module 1 comprises radio-frequency (RF) acquisition module, bar letter code acquisition module, video and audio data collection module and sensor assembly.
The large Data Collection of a kind of industry described in the utility model and disposal system, described communication module A24 and communication module B43 is GSM, GPRS, 3G, 4G or WiFi.
The large Data Collection of a kind of industry described in the utility model and disposal system, described slave computer 2 and host computer 4 all comprise human-computer interaction module.
The large Data Collection of a kind of industry described in the utility model and disposal system, described data collection module 1 and slave computer 2 have multiple.
In the present system, the controlled module instruction of data collection module, image data information.Data message, after data processing module process, changes into the data message of the low capacity of format, when exceeding setting threshold value, can provide mark.Primary data information (pdi) is present in data memory module, and the data message after process is then sent to cloud platform by communication module.The data analysis module office data message of host computer, and preferably transfer superthreshold data message, and provide instruction, recall raw data.Compared with prior art, data message simplifies and suitably identifies by the large Data Collection of industry described in the utility model and disposal system, then uploads to cloud system, accelerate the processing time, and data message capacity diminishes, and contributes to system stability.
Accompanying drawing explanation
Fig. 1: the large Data Collection of industry and disposal system schematic diagram; Data collection module-1, slave computer-2, cloud platform-3, host computer-4, control module-21, data processing module-22, data memory module A-23, communication module A-24, power module A-25, data analysis module-41, data memory module B-42, communication module B-43, power module B-44, control module B-45.
Embodiment
Below in conjunction with specific embodiment to increase inter-exchange transmission bandwidth described in the utility model and the device realizing link redundancy backup be described further, but protection domain is not limited to this.
Embodiment 1
The large Data Collection of a kind of industry and disposal system, described system comprises data collection module 1, slave computer 2, cloud platform 3 and host computer 4; Described slave computer 2 comprises the data processing module 22, data memory module A23, communication module A24 and the power module A25 that are connected with control module 21; Described data collection module 1 is connected with control module 21; Described host computer 4 comprises the data analysis module 41, data memory module B42, communication module B43 and the power module B44 that are connected with control module B45; Described cloud platform 3, as intermediary, stores information or the instruction of host computer 2 or slave computer 3.Described data collection module 1 comprises radio-frequency (RF) acquisition module, bar letter code acquisition module, video and audio data collection module and sensor assembly.Described communication module A24 and communication module B43 is 4G.Described slave computer 2 and host computer 4 all comprise human-computer interaction module.Described data collection module 1 and slave computer 2 have multiple.
Embodiment 2
The large Data Collection of a kind of industry and disposal system, described system comprises data collection module 1, slave computer 2, cloud platform 3 and host computer 4; Described slave computer 2 comprises the data processing module 22, data memory module A23, communication module A24 and the power module A25 that are connected with control module 21; Described data collection module 1 is connected with control module 21; Described host computer 4 comprises the data analysis module 41, data memory module B42, communication module B43 and the power module B44 that are connected with control module B45; Described cloud platform 3, as intermediary, stores information or the instruction of host computer 2 or slave computer 3.Described data collection module 1 comprises radio-frequency (RF) acquisition module, bar letter code acquisition module, video and audio data collection module and sensor assembly.Described communication module A24 and communication module B43 is WiFi.Described slave computer 2 and host computer 4 all comprise human-computer interaction module.Described data collection module 1 and slave computer 2 have multiple.
In the present system, the controlled module instruction of data collection module, image data information.Data message, after data processing module process, changes into the data message of the low capacity of format, when exceeding setting threshold value, can provide mark.Primary data information (pdi) is present in data memory module, and the data message after process is then sent to cloud platform by communication module.The data analysis module office data message of host computer, and preferably transfer superthreshold data message, and provide instruction, recall raw data.Compared with prior art, data message simplifies and suitably identifies by the large Data Collection of industry described in the utility model and disposal system, then uploads to cloud system, accelerate the processing time, and data message capacity diminishes, and contributes to system stability.
Claims (5)
1. the large Data Collection of industry and a disposal system, is characterized in that, described system comprises data collection module (1), slave computer (2), cloud platform (3) and host computer (4); Described slave computer (2) comprises the data processing module (22), data memory module A (23), communication module A (24) and the power module A (25) that are connected with control module (21); Described data collection module (1) is connected with control module (21); Described host computer (4) comprises the data analysis module (41), data memory module B (42), communication module B (43) and the power module B (44) that are connected with control module B (45); Described cloud platform (3), as intermediary, stores information or the instruction of host computer (2) or slave computer (3).
2. the large Data Collection of a kind of industry according to claim 1 and disposal system, is characterized in that, described data collection module (1) comprises radio-frequency (RF) acquisition module, bar letter code acquisition module, video and audio data collection module and sensor assembly.
3. the large Data Collection of a kind of industry according to claim 1 and disposal system, it is characterized in that, described communication module A (24) and communication module B (43) are GSM, GPRS, 3G, 4G or WiFi.
4. the large Data Collection of a kind of industry according to claim 1 and disposal system, it is characterized in that, described slave computer (2) and host computer (4) all comprise human-computer interaction module.
5. the large Data Collection of a kind of industry according to claim 1 and disposal system, it is characterized in that, described data collection module (1) and slave computer (2) have multiple.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520540506.1U CN204790999U (en) | 2015-07-24 | 2015-07-24 | Big data acquisition of industry and processing system |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201520540506.1U CN204790999U (en) | 2015-07-24 | 2015-07-24 | Big data acquisition of industry and processing system |
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| CN204790999U true CN204790999U (en) | 2015-11-18 |
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| CN201520540506.1U Expired - Fee Related CN204790999U (en) | 2015-07-24 | 2015-07-24 | Big data acquisition of industry and processing system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105488983A (en) * | 2015-12-11 | 2016-04-13 | 芜湖乐锐思信息咨询有限公司 | Industrial product information data feedback system |
| CN106685702A (en) * | 2016-12-08 | 2017-05-17 | 北京立思辰新技术有限公司 | Big data acquisition method based on industrial control system security protection equipment |
| CN109218342A (en) * | 2017-06-29 | 2019-01-15 | 上海金艺检测技术有限公司 | Equipment operating data acquisition processing system based on intelligence sensor |
-
2015
- 2015-07-24 CN CN201520540506.1U patent/CN204790999U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105488983A (en) * | 2015-12-11 | 2016-04-13 | 芜湖乐锐思信息咨询有限公司 | Industrial product information data feedback system |
| CN106685702A (en) * | 2016-12-08 | 2017-05-17 | 北京立思辰新技术有限公司 | Big data acquisition method based on industrial control system security protection equipment |
| CN106685702B (en) * | 2016-12-08 | 2020-05-05 | 北京立思辰新技术有限公司 | Big data acquisition method based on industrial control system safety protection equipment |
| CN109218342A (en) * | 2017-06-29 | 2019-01-15 | 上海金艺检测技术有限公司 | Equipment operating data acquisition processing system based on intelligence sensor |
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Legal Events
| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20151118 Termination date: 20190724 |