CN107218966A - Water supply network data intelligence acquisition method - Google Patents
Water supply network data intelligence acquisition method Download PDFInfo
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- CN107218966A CN107218966A CN201610159710.8A CN201610159710A CN107218966A CN 107218966 A CN107218966 A CN 107218966A CN 201610159710 A CN201610159710 A CN 201610159710A CN 107218966 A CN107218966 A CN 107218966A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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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]
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Abstract
The present invention relates to water supply network data intelligence acquisition method, sensor, collector and Cloud Server are sequentially connected interaction, collector intelligently obtains sensor driving and interacted with the sensor, collector includes task generator, multitasking virtual machine and task intelligent supervisor, the sensor historic data intelligence that the task generator is obtained according to task template configures time template, template of alarming and early warning template, when there is characteristic, the collector sensor high to the degree of correlation carries out the data acquisition of highest attention formula, and active and Cloud Server interaction data, send abnormal data and to Cloud Server application related data；Beneficial effect, the present invention can carry out a variety of data intelligence monitorings to each feed pipe of water supply network in real time, it is effectively improved pipe network monitoring efficiency, problem signals can be predicted before situation occurs in pipe network and alarm are sent to Cloud Server in time, do to go wrong in advance and remedy, so as to reduce unnecessary loss.
Description
Technical field
Field is monitored the present invention relates to pipe network operation, and in particular to a kind of water supply network data intelligence acquisition method.
Background technology
Monitoring of the prior art to water supply network running situation, is monitored using only flowmeter, can only gather single data on flows, and function is more single, it is difficult to find other working conditions of pipe network in real time；Moreover, pipe network monitoring personnel need to send a command to each monitoring point respectively according to monitoring requirements, each monitoring instrument can not voluntarily make intelligent decision to monitoring situation and be handled with task, it is necessary to increase artificial control and monitoring, and monitoring effect is not good enough.In summary, there is following defect in prior art：The water supply network monitoring system of prior art, intelligence degree is relatively low, and monitoring function is few, and more monitoring program needs to be accomplished manually, so that monitoring process becomes complicated, increases personnel's amount of labour.
The content of the invention
The present invention provides a kind of new water supply network data intelligence acquisition method to solve prior art problem.
Technical scheme is as follows：Water supply network data intelligence acquisition method, including preparation step, data acquisition and analytical procedure and data collection steps：
Affiliated preparation step includes：Sensor is accessed into collector, sensor reports self attributes and device id or collector active obtaining attribute sensor and device id from trend collector；Collector automatic searching device drives are simultaneously installed, and describe to describe with data to obtain the function of sensor.
The data acquisition and analytical procedure include：The task template requirement that collector is sent according to sensor function and Cloud Server, to sensors for data；Collector is tracked and analyzed to the data of acquisition, and automatically configures template by task generator；Collector is automatically formed according to the template of task template and configuration and performed to sensor data acquisition, analysis, record and the task of transmission interaction；
The data collection steps include：If there are template characteristic data, the collector sensor high to the degree of correlation carries out the data acquisition of highest attention formula, and actively and Cloud Server interaction data, sends abnormal data and to Cloud Server application related data.
As a further improvement on the present invention, device drives are searched：Collector is obtained after the attribute and ID of sensor, is retrieved collector list of devices, is specifically included following four situation；
Method one, according to device id check whether list of devices has the equipment, without the driving that same category of device is then checked whether according to attribute；There is same category of device driving, then call same category of device to drive.
If method two, without same category of device driving, to sensor obtain drive.
If method three, to sensor obtain driving failure, connect Cloud Server, device attribute be sent to Cloud Server, to Cloud Server obtain sensor driving, if there are such device drives in cloud service, to collector returning equipment drive.
If method four, cloud service are not present in such device drives, the sensor for obtaining same type to other Cloud Servers or collector drives, and stores and send driving to collector.
As a further improvement on the present invention, the configuration template includes：Time template, alarm template and early warning template；
When accordingly, if there is the characteristic of alarm template, warning message is sent to server, alarm is realized.Cloud Server determines after alarm effectively that intelligent alarm is to Cloud Server application cloud data interested.
Collector to the historical data of sensor, analyzed, compared, being birdsed of the same feather flock together, correlation, difference, end, the data analysis of feature extraction, alarm trends and correlation are analyzed, and constantly correct, form data early warning template；Instantly secondary data occur after relative alarm trend, send early warning to Cloud Server in advance.
In summary, the water supply network data intelligence acquisition method of the present invention can carry out a variety of data intelligence monitorings to each feed pipe of water supply network in real time, it is effectively improved pipe network monitoring efficiency, template can be intelligently generated automatically according to historical data, problem signals are predicted before situation occurs in pipe network and alarm are sent to Cloud Server in time, do to go wrong in advance and remedy, so as to reduce unnecessary loss.
【Brief description of the drawings】
Fig. 1 is operating diagram of the present invention；
Fig. 2 is collector operating diagram of the present invention.
【Embodiment】
The explanation of following embodiment is the specific embodiment implemented to illustrate the present invention can be used to reference to additional schema.The direction term that the present invention is previously mentioned, is only the direction with reference to annexed drawings such as " on ", " under ", "front", "rear", "left", "right", " interior ", " outer ", " side ".Therefore, the direction term used is to illustrate and understand the present invention, and is not used to the limitation present invention.In figure, the similar unit of structure is represented with identical label.
As shown in Figure 1 and Figure 2, water supply network data intelligence acquisition method of the invention, the input of flowmeter 101, pressure gauge 102 and shock sensor 103 respectively with collector 2 is connected, and the output end and Cloud Server 3 of collector 2 are wireless（GPRS、3G、4G、wifi）Connection, each sensor 1 of 401 pairs of task template that collector 2 is sent by Cloud Server 3 carries out Data Collection；Before collector 2 is connected with each sensor 1, obtains sensor 1 with sensor 1 and the intelligent interaction of Cloud Server 3 and drive；The multitasking virtual machine 501 of the internal operation virtual task of collector 2, multitasking virtual machine 501 can perform intelligent task；Communication virtual machine 502 can find intelligence sensor 1, the self-description of dynamic analysis sensor 1, discovery feature and data, and be driven according to intelligence sensor 1 into raw, and can virtual operation driving.
Specifically, sensor 1 is reported after the attribute and ID of attribute and ID or the active obtaining sensor 1 of collector 2 certainly to collector 2, collector 2 starts to retrieve the list of devices of collector 2, specifically includes following four situation；Method one, according to device id check whether list of devices has the equipment, without the driving that same category of device is then checked whether according to attribute；There is same category of device driving, then call same category of device to drive；If method two, without same category of device driving, to sensor 1 obtain drive；If method three, to sensor 1 obtain driving failure, connect Cloud Server 3, device attribute is sent to Cloud Server 3, to Cloud Server 3 obtain sensor 1 drive, if there are such device drives in cloud service, to the returning equipment of collector 2 drive；If method four, Cloud Server 3 are not present in such device drives, the sensor 1 for obtaining same type to other Cloud Servers 3 or collector 2 drives, and stores and send driving to collector 2, so that collector 2 has multiple choices mode to coordinate with sensor 1.
The task template 401 that collector 2 is sent according to the function of sensor 1 and Cloud Server 3 is required, data are obtained to sensor 1；The data of 2 pairs of acquisitions of collector are tracked and analyzed, and automatically configure template by task generator 503；Collector 2 automatically forms according to the template of task template 401 and configuration and performs the task to the data acquisition of sensor 1, analysis, record and transmission interaction.
Specifically, the configuration template includes：Time template 402, alarm template 403 and early warning template 404；Task generator 503 is according to task configuration template, time template 402, alarm template 403, early warning template 404, and then Virtual Intelligent task is generated in multitasking virtual machine 501, and further, interaction between sensor 1, communication virtual machine 502 and multitasking virtual machine 501, interacted between task generator 503 and multitasking virtual machine 501 by task intelligent supervisor 504, task intelligent supervisor 504 is according to configuration template and the virtual task of generation management control virtual task and operation task.
When accordingly, if there is the characteristic of alarm template 403, warning message is sent to server, alarm is realized.Cloud Server 3 determines after alarm effectively that intelligent alarm applies for cloud data interested to Cloud Server 3.
Collector 2 to the historical data of sensor 1, analyzed, compared, being birdsed of the same feather flock together, correlation, difference, end, the data analysis of feature extraction, alarm trends and correlation are analyzed, and constantly correct, form data early warning template 404；Instantly secondary data occur after relative alarm trend, send early warning to Cloud Server 3 in advance.
The data collection steps include：If there are template characteristic data, the sensor 1 high to the degree of correlation of collector 2 carries out the data acquisition of highest attention formula, and applies for related data actively with the interaction data of Cloud Server 3, transmission abnormal data and to Cloud Server 3.Using such scheme, the water supply network data intelligence acquisition method of the present invention can carry out a variety of data intelligence monitorings to each feed pipe of water supply network in real time, it is effectively improved pipe network monitoring efficiency, template can be intelligently generated automatically according to historical data, problem signals are predicted before situation occurs in pipe network and alarm are sent to Cloud Server 3 in time, do to go wrong in advance and remedy, so as to reduce unnecessary loss.
Claims (3)
1. water supply network data intelligence acquisition method, it is characterised in that including preparation step, data acquisition and analytical procedure and data collection steps；Wherein：Preparation step：Sensor is accessed into collector, sensor reports self attributes and device id or collector active obtaining attribute sensor and device id from trend collector；Collector automatic searching device drives are simultaneously installed, and describe to describe with data to obtain the function of sensor；Data acquisition and analytical procedure：The task template requirement that collector is sent according to sensor function and Cloud Server, to sensors for data；Collector is tracked and analyzed to the data of acquisition, and automatically configures template by task generator；Collector is automatically formed according to the template of task template and configuration and performed to sensor data acquisition, analysis, record and the task of transmission interaction；Data collection steps：If there are template characteristic data, the collector sensor high to the degree of correlation carries out the data acquisition of highest attention formula, and active and Cloud Server interaction data, abnormal data is sent and to Cloud Server application related data, so as to realize more efficient more accurate more effectively data collection and analysis alert applications function.
2. water supply network data intelligence acquisition method according to claim 1, it is characterised in that search device drives：Collector is obtained after the attribute and ID of sensor, retrieves collector list of devices；
Method one, according to device id check whether list of devices has the equipment, without the driving that same category of device is then checked whether according to attribute；There is same category of device driving, then call same category of device to drive；
If method two, without same category of device driving, to sensor obtain drive；
If method three, to sensor obtain driving failure, connect Cloud Server, device attribute be sent to Cloud Server, to Cloud Server obtain sensor driving, if there are such device drives in cloud service, to collector returning equipment drive；
If method four, cloud service are not present in such device drives, the sensor for obtaining same type to other Cloud Servers or collector drives, and stores and send driving to collector.
3. water supply network data intelligence acquisition method according to claim 1, it is characterised in that configuration template includes：Time template, alarm template and early warning template；When accordingly, if there is the characteristic of alarm template, warning message is sent to Cloud Server, alarm is realized；Cloud Server determines after alarm effectively that intelligent alarm is to Cloud Server application cloud data interested；Collector to the historical data of sensor, analyzed, compared, being birdsed of the same feather flock together, correlation, difference, end, the data analysis of feature extraction, alarm trends and correlation are analyzed, and constantly correct, form data early warning template；Instantly secondary data occur after relative alarm trend, send early warning to Cloud Server in advance, and alarm template, time template are set by user, or server active push is downloaded.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610159710.8A CN107218966B (en) | 2016-03-21 | 2016-03-21 | Intelligent water supply pipe network data acquisition method |
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| CN201610159710.8A CN107218966B (en) | 2016-03-21 | 2016-03-21 | Intelligent water supply pipe network data acquisition method |
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| CN107218966A true CN107218966A (en) | 2017-09-29 |
| CN107218966B CN107218966B (en) | 2023-07-28 |
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2016
- 2016-03-21 CN CN201610159710.8A patent/CN107218966B/en active Active
Patent Citations (8)
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| CN1805349A (en) * | 2005-01-14 | 2006-07-19 | 株式会社日立制作所 | Sensor network system and data retrieval method and program for sensing data |
| JP2012003307A (en) * | 2010-06-14 | 2012-01-05 | Nippon Telegr & Teleph Corp <Ntt> | Sensor client device, application client device, sensor information transfer system, command information reception method, command information registration method, and sensor information transfer method |
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