CN204462726U - Based on the real-time data acquisition distributed integeration system of large data - Google Patents
Based on the real-time data acquisition distributed integeration system of large data Download PDFInfo
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- CN204462726U CN204462726U CN201520095178.9U CN201520095178U CN204462726U CN 204462726 U CN204462726 U CN 204462726U CN 201520095178 U CN201520095178 U CN 201520095178U CN 204462726 U CN204462726 U CN 204462726U
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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
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Abstract
Based on the real-time data acquisition distributed integeration system of large data, comprise: data acquisition unit, real-time detecting unit, sensor device and data analysis unit, adopt the airport system of distributed arrangement, by the various production of Sensor Analog Relay System Weaving device, the data such as state, and progressively accumulation forms large data, the various production of Real-Time Monitoring unit Weaving device, the data such as state, and progressively accumulation forms large data, data analysis unit is to formed large data analysis, Timeliness coverage exists and produced problem in Weaving device runs, Data support is provided for industry energy conservation reduces discharging.The utility model data acquisition system and the accumulation Status of Weaving device, production capacity and power consumption data, for data analysis with carry out production control and provide basic.
Description
Technical field
The utility model relates to a kind of data acquisition system (DAS), is specially the real-time data acquisition distributed integeration system related to based on large data.
Background technology
Real-time weaving data acquisition distributed integeration system based on large data has multiple functional unit collaborative work, and be directly connected to sensor by data acquisition unit, data acquisition unit is connected with switch by RJ45, forms a distributed integeration network system.Then utilize large data processing technique to carry out excavation and the process of the degree of depth to data, thus provide data source and data analysis service for textile enterprise's integrated management and energy-saving and emission-reduction.The data collected can be kept on Cloud Server, utilize cloud treatment technology to carry out data processing, thus expand the usable range of data and the degree of depth of application.At current Weaving device Data processing, mostly carry out customized development for a certain PLC, both limited its range of application, also limit the degree of depth of application.
Utility model content
The utility model is for the deficiencies in the prior art, aim to provide a kind of real-time data acquisition distributed integeration system based on large data, this system can be accurate, and real-time acquisition Weaving device for information about, thus reaches the effect to the application of Weaving device aggregation of data.
The utility model is achieved through the following technical solutions:
Based on the real-time data acquisition distributed integeration system of large data, comprise: data acquisition unit, Usage data collection device gathers Weaving device data, automatically non electrical quantity or electric quantity signal is adopted from sensor and the analog-and digital-unit under test of Devices to test, deliver in host computer and analyze, process;
Real-Time Monitoring unit, connection data analytic unit, the data such as the various production of Weaving device, state of record monitoring automatically, and progressively accumulation forms large data;
Sensor, connection data collecting unit, mainly says that the simulating signal of equipment carries out collecting, shaping and conversion, so that Usage data collection device gathers;
Data analysis unit, connection data collecting unit and Real-Time Monitoring unit, gather the data collected, and utilizes cloud treatment technology to data analysis, so that Timeliness coverage exists and produced problem in Weaving device runs, to provide Data support for industry energy conservation reduces discharging.
The technology that the device data carrying out textile industry in conjunction with large data and the real-time distributed acquisition technique of data carries out monitoring is studied by the utility model.
The beneficial effects of the utility model are: the integrated system adopting distributed arrangement, and system layout is simple, flexible, is conducive to the enforcement of textile enterprise.The mode of image data adopts data acquisition unit directly to read from sensor, and structure is simple.The data source gathered is more various, existing equipment status data, also has product constant data, forms large data, is conducive to carrying out large data and processes.For the further integrated data management to textile enterprise and data analysis provide support, also Data safeguard can be provided for the energy-saving and emission-reduction of textile enterprise of China.
Accompanying drawing explanation
Fig. 1 is the utility model embodiment real-time data acquisition distributed integeration system architecture schematic diagram.
Embodiment
In order to make the purpose of this utility model, technical scheme and advantage clearly understand, below in conjunction with accompanying drawing, the utility model is further described.Should be appreciated that specific embodiment described herein only in order to explain the utility model, and be not used in restriction the utility model.
As shown in Figure 1, based on the real-time data acquisition distributed integeration system of large data, comprise: data acquisition unit 110, Usage data collection device gathers Weaving device data, automatically non electrical quantity or electric quantity signal is adopted from sensor and the analog-and digital-unit under test of Devices to test, deliver in host computer and analyze, process;
Real-Time Monitoring unit 111, the data such as the various production of Weaving device, state of record monitoring automatically, and progressively accumulation forms large data;
Sensor unit, mainly says that the simulating signal of equipment carries out collecting, shaping and conversion, so that Usage data collection device gathers;
Data analysis unit 101, gathers the data collected, and utilizes cloud treatment technology to data analysis, and Timeliness coverage exists and produced problem in Weaving device runs, and provides Data support for industry energy conservation reduces discharging.
During application, data acquisition unit is sampled by sensor to the voltage of equipment or current signal, is kept, and send into A/D converter and become digital signal, then this signal is delivered in FIFO, when the data deposited in FIFO have arrived some, read from FIFO by ARM7, then give host computer by the Ethernet interface of ARM7 or RS232.Consider that the equipment that will monitor may be a lot, so devise multi pass acquisition passage, they enter A/D converter again after analog switch.
This data acquisition system (DAS), by the research to Weaving device data acquisition modes, gather and accumulate the Status of Weaving device, production capacity and power consumption data, for data analysis with carry out production control, and energy-saving and emission-reduction are produced with green, ensure that the safety of domestic textile enterprise workman and operating environment provides support.
Claims (4)
1. based on the real-time data acquisition distributed integeration system of large data, it is characterized in that, comprise: data acquisition unit, Usage data collection device gathers Weaving device data, automatically non electrical quantity or electric quantity signal is adopted from sensor and the analog-and digital-unit under test of Devices to test, deliver in host computer and analyze, process.
2. real-time data acquisition distributed integeration system according to claim 1, is characterized in that, comprising: Real-Time Monitoring unit, connection data analytic unit, the various production of Weaving device of record monitoring automatically, status data, and progressively accumulation forms large data.
3. real-time data acquisition distributed integeration system according to claim 1, is characterized in that, comprising: sensor, connection data collecting unit, mainly says that the simulating signal of equipment carries out collecting, shaping and conversion, so that Usage data collection device gathers.
4. real-time data acquisition distributed integeration system according to claim 1, it is characterized in that, comprising: data analysis unit, connection data collecting unit and Real-Time Monitoring unit, the data collected are gathered, utilizes cloud treatment technology to data analysis.
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104730978A (en) * | 2015-02-09 | 2015-06-24 | 河南工程学院 | Real-time data collection distributed type integration system based on big data |
CN106295973A (en) * | 2016-08-03 | 2017-01-04 | 华电龙口发电股份有限公司 | Power plant is incorporated into the power networks and assistant service Synchronization Analysis plateform system |
CN107734057A (en) * | 2017-11-09 | 2018-02-23 | 成都才智圣有科技有限责任公司 | Real-time data acquisition distributed integeration system based on big data |
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2015
- 2015-02-09 CN CN201520095178.9U patent/CN204462726U/en not_active Expired - Fee Related
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104730978A (en) * | 2015-02-09 | 2015-06-24 | 河南工程学院 | Real-time data collection distributed type integration system based on big data |
CN106295973A (en) * | 2016-08-03 | 2017-01-04 | 华电龙口发电股份有限公司 | Power plant is incorporated into the power networks and assistant service Synchronization Analysis plateform system |
CN107734057A (en) * | 2017-11-09 | 2018-02-23 | 成都才智圣有科技有限责任公司 | Real-time data acquisition distributed integeration system based on big data |
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Granted publication date: 20150708 Termination date: 20160209 |
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