CN205725840U - Water supply network data intelligence harvester - Google Patents
Water supply network data intelligence harvester Download PDFInfo
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- CN205725840U CN205725840U CN201620215431.4U CN201620215431U CN205725840U CN 205725840 U CN205725840 U CN 205725840U CN 201620215431 U CN201620215431 U CN 201620215431U CN 205725840 U CN205725840 U CN 205725840U
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- intelligent collector
- water supply
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Abstract
The utility model discloses a kind of water supply network data intelligence harvester, including sensor, intelligent collector, main control computer and Cloud Server；Described sensor is electrically connected with intelligent collector, and described intelligent collector connects described Cloud Server；Described intelligent collector and Cloud Server are electrically connected with described main control computer；Described intelligent collector includes: drives and identifies installation module, and data acquisition analyzes module, intelligence threshold generation module；Have the beneficial effect that the water supply network data intelligence harvester using such scheme, intelligent collector can be with sensor and Cloud Server intelligent interaction, the data of intellectual analysis sensor feedback, problematic tendency data are sent early warning information in advance, so that problem is made and being remedied by staff in time, reduce water resource loss.
Description
Technical field
This utility model is specifically related to a kind of water supply network data intelligence harvester.
Background technology
For urban water supply, municipal water supply and community secondary water-supply, metering is a kind of leakage loss control mode the most all comparing accreditation at present, but due to the difference of the national conditions such as pipeline distribution, geographical position, the different local modes implemented are otherwise varied.In the distribution system of water supply in worldwide, solve leakage still Challenge.The mankind are faced with increasingly severe water resource and lack problem, and meanwhile, the sustainability to water resource that changes of environment also creates threat.Reduce the wastage in the distribution system of water supply, not only can bring society and environmental benefit, the most also can significantly saving water resource and economic investment, it is also possible to improve the service level of water supply cause, promote national economy and the development of urban construction.How to reduce the leakage problem of water in water distribution system, water undertaking is faced with the increasing pressure, and therefore, reducing water leakage is a needs urgent problem.
Traditional water supply network data acquisition needs manual monitoring data, the concrete situation of pipeline leakage is judged according to artificial experience, but the specialized capability of staff is difficult to reach fair, the most different to the sensitivity of data, so being difficult to accomplish to judge fast and accurately to pipe network situation, thus leak time can not be preferably avoided after extending, to strengthen the situation of leakage loss.
In sum, there is following defect in prior art: water supply network cannot be accomplished intelligent monitoring, intelligent acquisition data and intelligent early-warning by prior art, thus cannot remedy pipe network problem in time.
Summary of the invention
This utility model provides a kind of novel water supply network data intelligence harvester for solving prior art problem.
The technical solution of the utility model is as follows: water supply network data intelligence harvester, including sensor, intelligent collector, main control computer and Cloud Server；Described sensor is electrically connected with intelligent collector, and described intelligent collector connects described Cloud Server；Described intelligent collector and Cloud Server are electrically connected with described main control computer；Described sensor includes flow probe and the floating valve being arranged in pipeline, and described flow probe is arranged at the bottom of described floating valve；Described intelligent collector includes: module is installed in driving identification, automatically identifies device attribute and the ID of described sensor, and drives and paired from trend Cloud Server acquisition installation respective sensor；Data acquisition analyzes module, obtains data alternately with sensor；Intelligence threshold generation module, carry out the data of acquisition sorting out, compare, birds of the same feather flock together, be correlated with, difference, end process after generation early warning feature templates.
Preferred version, described sensor also includes that shock sensor and piezometer, described shock sensor and piezometer connect described intelligent collector respectively.
Preferred version, described intelligent collector and Cloud Server are by GPRS or 3G or 4G or WiFi wireless connections.
Preferred version, described main control computer connects alarm device, and described main control computer controls the operation of alarm device by early warning feature templates.
Preferred version, described Cloud Server is wirelessly connected with handheld terminal, can watch pipe network data by described handheld terminal.
The beneficial effects of the utility model are: use the water supply network data intelligence harvester of such scheme, intelligent collector can be with sensor and Cloud Server intelligent interaction, the data of intellectual analysis sensor feedback, problematic tendency data are sent early warning information in advance, so that problem is made and being remedied by staff in time, reduce water resource loss.
[accompanying drawing explanation]
Fig. 1 is this utility model structural representation.
[detailed description of the invention]
The explanation of following embodiment is specific embodiment that is graphic with reference to add, that implement in order to illustrate this utility model may be used to.The direction term that this utility model is previously mentioned, such as " on ", D score, "front", "rear", "left", "right", " interior ", " outward ", " side " etc., be only the direction with reference to annexed drawings.Therefore, the direction term of use is to illustrate and understand this utility model, and is not used to limit this utility model.In the drawings, the unit that structure is similar is to represent with identical label.
As it is shown in figure 1, technical scheme is as follows: water supply network data intelligence harvester of the present utility model, including sensor 1, intelligent collector 2, main control computer 3 and Cloud Server 4；Described sensor 1 is electrically connected with intelligent collector 2, and described intelligent collector 2 is by Cloud Server 4 described in GPRS or 3G or 4G or WiFi wireless connections；Described intelligent collector 2 is electrically connected with described main control computer 3 with Cloud Server 4；Described intelligent acquisition device interacts with sensor 1, described sensor 1 is to intelligent collector 2 real-time report pipeline data, described intelligent collector 2 is by the intelligent data analysis collected and feeds back to Cloud Server 4, the transmission instruction to controlling intelligent collector 2 and Cloud Server 4 of the described main control computer 3.
Described sensor 1 includes flow probe 101 and the floating valve being arranged in pipeline, and described flow probe 101 includes being arranged at by the piezoelectric transducer at tested pipeline two ends, by launching and received ultrasonic signal calculated flow rate；Described flow probe 101 is arranged at the bottom of described floating valve；Flow probe 101 can be carried by floating valve, such as, can be placed in the side down of floating valve so that flow probe 101 is immersed in water；Floating valve in pipeline can the floating traveling with the flowing of current, thus flow probe 101 can advance during complete submarine pipeline data sensing.
Described intelligent collector 2 includes: module 201 is installed in driving identification, automatically identifies device attribute and the ID of described sensor 1, and drives and paired from trend Cloud Server 4 acquisition installation respective sensor 1.
Data acquisition analyzes module 202, obtains data alternately with sensor 1.
Intelligence threshold generation module 203, acquisition is lasted data sort out, compare, birds of the same feather flock together, be correlated with, difference, end process after generate early warning feature templates, even if when data no damage occurred the data that sensor 1 sends but just sending alarm signal when meeting the characteristic of early warning feature templates, making staff pay close attention to information problem is made in time and remedying.
Described sensor 1 also includes that shock sensor 102 and piezometer 103, described shock sensor 102 and piezometer 103 connect described intelligent collector 2 respectively.
Described main control computer 3 connects alarm device, and described main control computer 3 controls the operation of alarm device by early warning feature templates.
Described Cloud Server 4 is wirelessly connected with handheld terminal, can watch pipe network data by described handheld terminal.
The beneficial effects of the utility model are: use the water supply network data intelligence harvester of such scheme, intelligent collector 2 can be with sensor 1 and Cloud Server 4 intelligent interaction, the data of intellectual analysis sensor 1 feedback, problematic tendency data are sent early warning information in advance, so that problem is made and being remedied by staff in time, reduce water resource loss.
Claims (5)
1. water supply network data intelligence harvester, it is characterised in that include sensor, intelligent collector, main control computer and Cloud Server；Described sensor is electrically connected with intelligent collector, and described intelligent collector connects described Cloud Server；Described intelligent collector and Cloud Server are electrically connected with described main control computer；Described sensor includes flow probe and the floating valve being arranged in pipeline, and described flow probe is arranged at the bottom of described floating valve；Described intelligent collector includes:
Module is installed in driving identification, automatically identifies device attribute and the ID of described sensor, and drives and paired from trend Cloud Server acquisition installation respective sensor；
Data acquisition analyzes module, obtains data alternately with sensor；
Intelligence threshold generation module, carry out the data of acquisition sorting out, compare, birds of the same feather flock together, be correlated with, difference, end process after generation early warning feature templates.
Water supply network data intelligence harvester the most according to claim 1, it is characterised in that described sensor also includes that shock sensor and piezometer, described shock sensor and piezometer connect described intelligent collector respectively.
Water supply network data intelligence harvester the most according to claim 1, it is characterised in that described intelligent collector and Cloud Server are by GPRS or 3G or 4G or WiFi wireless connections.
Water supply network data intelligence harvester the most according to claim 1, it is characterised in that described main control computer connects alarm device, described main control computer controls the operation of alarm device by early warning feature templates.
Water supply network data intelligence harvester the most according to claim 1, it is characterised in that described Cloud Server is wirelessly connected with handheld terminal, can watch pipe network data by described handheld terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620215431.4U CN205725840U (en) | 2016-03-21 | 2016-03-21 | Water supply network data intelligence harvester |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201620215431.4U CN205725840U (en) | 2016-03-21 | 2016-03-21 | Water supply network data intelligence harvester |
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| CN205725840U true CN205725840U (en) | 2016-11-23 |
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| CN201620215431.4U Active CN205725840U (en) | 2016-03-21 | 2016-03-21 | Water supply network data intelligence harvester |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106836381A (en) * | 2016-12-12 | 2017-06-13 | 东莞市广信知识产权服务有限公司 | A kind of the Information of Water Supply Pipe Network monitoring device |
| CN107630591A (en) * | 2017-11-06 | 2018-01-26 | 武汉毳雨环保科技有限责任公司 | The construction method and enclosing module of enclosing with flow monitoring formula spray equipment |
| CN107675935A (en) * | 2017-11-06 | 2018-02-09 | 武汉毳雨环保科技有限责任公司 | Tested oneself with pipeline the construction method and enclosing module of the enclosing of formula spray equipment |
| CN107670437A (en) * | 2017-10-10 | 2018-02-09 | 武汉毳雨环保科技有限责任公司 | A kind of pipeline is tested oneself formula water storage spray system |
-
2016
- 2016-03-21 CN CN201620215431.4U patent/CN205725840U/en active Active
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106836381A (en) * | 2016-12-12 | 2017-06-13 | 东莞市广信知识产权服务有限公司 | A kind of the Information of Water Supply Pipe Network monitoring device |
| CN107670437A (en) * | 2017-10-10 | 2018-02-09 | 武汉毳雨环保科技有限责任公司 | A kind of pipeline is tested oneself formula water storage spray system |
| CN107630591A (en) * | 2017-11-06 | 2018-01-26 | 武汉毳雨环保科技有限责任公司 | The construction method and enclosing module of enclosing with flow monitoring formula spray equipment |
| CN107675935A (en) * | 2017-11-06 | 2018-02-09 | 武汉毳雨环保科技有限责任公司 | Tested oneself with pipeline the construction method and enclosing module of the enclosing of formula spray equipment |
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Legal Events
| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CB03 | Change of inventor or designer information |
Inventor after: Li Chong Inventor after: Liu Qingbo Inventor after: Zhang Weihong Inventor after: Li Yifan Inventor after: Li Xiankui Inventor after: Zhang Jingsong Inventor before: Li Chong Inventor before: Liu Qingbo Inventor before: Zhang Weihong Inventor before: Li Yifan Inventor before: Li Xiankui |
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| COR | Change of bibliographic data |