CN107218966B - Intelligent water supply pipe network data acquisition method - Google Patents
Intelligent water supply pipe network data acquisition method Download PDFInfo
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- CN107218966B CN107218966B CN201610159710.8A CN201610159710A CN107218966B CN 107218966 B CN107218966 B CN 107218966B CN 201610159710 A CN201610159710 A CN 201610159710A CN 107218966 B CN107218966 B CN 107218966B
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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 invention relates to an intelligent acquisition method of water supply pipe network data, wherein a sensor, a collector and a cloud server are sequentially connected and interacted, the collector intelligently acquires a sensor drive to interact with the sensor, the collector comprises a task generator, a task virtual machine and a task intelligent manager, the task generator intelligently configures a time template, an alarm template and an early warning template according to sensor historical data acquired by a task template, and when characteristic data appear, the collector carries out highly focused data acquisition on the sensor with high correlation degree, actively interacts data with the cloud server, and transmits abnormal data and applies related data to the cloud server; the intelligent monitoring system has the beneficial effects that various data can be intelligently monitored on each water supply pipe of the water supply pipe network in real time, the pipe network monitoring efficiency is effectively improved, a problem signal can be predicted before the pipe network is in a state, an alarm can be timely sent to the cloud server, and the problem can be remedied in advance, so that unnecessary loss is reduced.
Description
Technical Field
The invention relates to the field of pipe network operation monitoring, in particular to an intelligent water supply pipe network data acquisition method.
Background
In the prior art, the operation condition of the water supply network is monitored by using a flowmeter only, only single flow data can be acquired, the function is single, and other working conditions of the water supply network are difficult to find in real time; moreover, pipe network monitoring personnel need send the instruction to each monitoring point respectively according to the monitoring demand, and each monitoring instrument can't make intelligent judgement and task processing to the monitoring condition by oneself, need increase manual monitoring dynamics, and monitoring effect is not good enough. In summary, the prior art has the following drawbacks: the water supply network monitoring system in the prior art has the advantages of low intelligent degree, few monitoring functions and more monitoring procedures which are needed to be completed manually, so that the monitoring process becomes complex, and the labor capacity of personnel is increased.
Disclosure of Invention
The invention provides a novel intelligent water supply pipe network data acquisition method for solving the problems in the prior art.
The technical scheme of the invention is as follows: the intelligent water supply pipe network data acquisition method comprises a preparation working step, a data acquisition and analysis step and a data acquisition step:
the preparation working steps comprise: the sensor is connected to the collector, and automatically reports the attribute and the equipment ID of the sensor to the collector or the collector actively acquires the attribute and the equipment ID of the sensor; the collector automatically searches for the device driver and installs the device driver to acquire the function description and the data description of the sensor.
The data acquisition and analysis steps include: the collector acquires data from the sensor according to the sensor function and task template requirements sent by the cloud server; the collector tracks and analyzes the acquired data and automatically configures a template through a task generator; the collector automatically forms and executes tasks of collecting, analyzing, recording and transmitting interaction of the sensor data according to the task template and the configured template;
the data acquisition step comprises the following steps: if the template characteristic data appear, the collector collects the data of high attention type of the sensor with high correlation degree, actively interacts the data with the cloud server, sends abnormal data and applies for the related data to the cloud server.
As a further improvement of the invention, the search device drives: after the collector acquires the attribute and the ID of the sensor, searching a collector equipment list, wherein the four conditions are specifically included;
checking whether the equipment exists in the equipment list according to the equipment ID, if not, checking whether the drivers of the similar equipment exist according to the attribute; and if the same type of equipment driver exists, calling the same type of equipment driver.
And secondly, if the same type of equipment is not driven, obtaining the drive from the sensor.
And thirdly, if the acquisition of the drive to the sensor fails, connecting the cloud server, transmitting the equipment attribute to the cloud server, acquiring the sensor drive to the cloud server, and if the equipment drive exists in the cloud service, returning the equipment drive to the collector.
And fourthly, if the cloud service does not exist in the equipment drivers, acquiring the sensor drivers of the same type from other cloud servers or collectors, and storing and sending the drivers to the collectors.
As a further improvement of the present invention, the configuration template includes: a time template, an alarm template and an early warning template;
correspondingly, if the characteristic data of the alarm template appear, alarm information is sent to the server to realize alarm. After the cloud server determines that the alarm is effective, the intelligent alarm applies for interesting cloud data to the cloud server.
The collector analyzes, compares, gathers, correlates, differences, generalizes and extracts data of the sensor, analyzes the alarm trend and the correlation, and continuously corrects the alarm trend and the correlation to form a data early warning template; and after the related alarm trend of the next data appears, early warning prompt is sent to the cloud server in advance.
In summary, the intelligent water supply pipe network data acquisition method can intelligently monitor various data of each water supply pipe of the water supply pipe network in real time, effectively improves pipe network monitoring efficiency, can automatically and intelligently generate templates according to historical data, predicts problem signals before the condition of the pipe network occurs, timely gives an alarm to a cloud server, and makes problem remedy in advance, thereby reducing unnecessary loss.
[ description of the drawings ]
FIG. 1 is a schematic diagram of the operation of the present invention;
FIG. 2 is a schematic diagram of the operation of the collector of the present invention.
[ detailed description ] of the invention
The following description of the embodiments refers to the accompanying drawings, which illustrate specific embodiments in which the invention may be practiced. The terms of directions used in the present invention, such as "up", "down", "front", "back", "left", "right", "inside", "outside", "side", etc., refer only to the directions of the attached drawings. Accordingly, directional terminology is used to describe and understand the invention and is not limiting of the invention. In the drawings, like structural elements are denoted by like reference numerals.
As shown in fig. 1 and 2, in the intelligent water supply network data acquisition method, a flowmeter 101, a pressure gauge 102 and a vibration detector 103 are respectively connected with the input end of an acquisition device 2, the output end of the acquisition device 2 is connected with a cloud server 3 in a wireless mode (GPRS, 3G and 4G, wifi), and the acquisition device 2 collects data of each sensor 1 through a task template 401 sent by the cloud server 3; before the collector 2 is connected with each sensor 1, the collector is intelligently interacted with the sensor 1 and the cloud server 3 to obtain the driving of the sensor 1; the collector 2 internally runs a task virtual machine 501 of a virtual task, and the task virtual machine 501 can execute intelligent tasks; the communication virtual machine 502 can discover the intelligent sensor 1, dynamically parse the self description of the sensor 1, discover functions and data, generate a drive according to the intelligent sensor 1, and virtually run the drive.
Specifically, after the attribute and ID are self-reported to the collector 2 by the sensor 1 or the attribute and ID of the sensor 1 are actively acquired by the collector 2, the collector 2 starts to search the device list of the collector 2, which specifically includes the following four cases; checking whether the equipment exists in the equipment list according to the equipment ID, if not, checking whether the drivers of the similar equipment exist according to the attribute; if the same type of equipment drive exists, the same type of equipment drive is called; the second method is that if the same type of equipment is not driven, the driving is obtained from the sensor 1; thirdly, if the acquisition of the drive to the sensor 1 fails, connecting the cloud server 3, transmitting the equipment attribute to the cloud server 3, acquiring the drive of the sensor 1 to the cloud server 3, and if the cloud service has the equipment drive, returning the equipment drive to the collector 2; and fourthly, if the cloud server 3 does not exist in the equipment drivers, acquiring the sensor 1 drivers of the same type from other cloud servers 3 or collectors 2, and storing and sending the drivers to the collectors 2, so that the collectors 2 are matched with the sensors 1 in a plurality of selection modes.
The collector 2 acquires data from the sensor 1 according to the function of the sensor 1 and the requirement of a task template 401 sent by the cloud server 3; collector 2 tracks and analyzes the acquired data and automatically configures templates by task generator 503; the collector 2 automatically forms and performs tasks of data collection, analysis, recording and transmission interaction of the sensor 1 according to the task template 401 and the configured template.
Specifically, the configuration template includes: a time template 402, an alarm template 403 and an early warning template 404; the task generator 503 generates virtual intelligent tasks in the task virtual machine 501 according to the task configuration template, the time template 402, the alarm template 403 and the early warning template 404, and further, the sensor 1, the communication virtual machine 502 and the task virtual machine 501 interact with each other, the task generator 503 interacts with the task virtual machine 501 through the task intelligent manager 504, and the task intelligent manager 504 manages and controls the virtual tasks and the running tasks according to the configuration template and the generated virtual tasks.
Correspondingly, if the feature data of the alarm template 403 appear, alarm information is sent to the server, so as to realize alarm. After the cloud server 3 determines that the alarm is valid, the intelligent alarm applies for interesting cloud data to the cloud server 3.
The collector 2 analyzes, compares, gathers, correlates, differences, generalizes and extracts data of the sensor 1, analyzes the alarm trend and the correlation, and corrects the alarm trend and the correlation continuously to form a data early warning template 404; and after the related alarm trend of the next data appears, early warning prompt is sent to the cloud server 3 in advance.
The data acquisition step comprises the following steps: if the template characteristic data appear, the collector 2 collects the data of high attention type of the sensor 1 with high correlation degree, actively interacts the data with the cloud server 3, sends abnormal data and applies for the related data to the cloud server 3. By adopting the scheme, the intelligent water supply pipe network data acquisition method can carry out intelligent monitoring on various data on each water supply pipe of the water supply pipe network in real time, effectively improves the pipe network monitoring efficiency, can automatically and intelligently generate templates according to historical data, predicts problem signals before the condition of the pipe network occurs, timely gives out an alarm to the cloud server 3, and makes problem remedy in advance, thereby reducing unnecessary loss.
Claims (2)
1. The intelligent water supply pipe network data acquisition method is characterized by comprising a preparation working step, a data acquisition and analysis step and a data acquisition step; wherein: the preparation working steps are as follows: the sensor is connected to the collector, and automatically reports the attribute and the equipment ID of the sensor to the collector or the collector actively acquires the attribute and the equipment ID of the sensor; the collector automatically searches for equipment drive and installs the equipment drive so as to acquire the function description and the data description of the sensor; and a data acquisition and analysis step: the collector acquires data from the sensor according to the sensor function and task template requirements sent by the cloud server; the collector tracks and analyzes the acquired data and automatically configures a template through a task generator; the collector automatically forms and executes tasks of collecting, analyzing, recording and transmitting interaction of the sensor data according to the task template and the configured template; and a data acquisition step: if template characteristic data appear, the collector collects data with high attention to the sensor with high correlation degree, actively interacts data with the cloud server, sends abnormal data and applies for related data to the cloud server, thereby realizing a more efficient, more accurate and more effective data collection, analysis and alarm application function;
search device driver: after acquiring the attribute and ID of the sensor, the collector retrieves the collector equipment list;
checking whether the equipment exists in the equipment list according to the equipment ID, if not, checking whether the drivers of the similar equipment exist according to the attribute; if the same type of equipment drive exists, the same type of equipment drive is called;
the second method is that if the same type of equipment is not used for driving, driving is obtained from the sensor;
thirdly, if the acquisition of the drive to the sensor fails, connecting a cloud server, transmitting equipment attributes to the cloud server, acquiring the drive of the sensor to the cloud server, and if the cloud service has the drive of the equipment, returning the drive of the equipment to the collector;
and fourthly, if the cloud service does not exist in the equipment drivers, acquiring the sensor drivers of the same type from other cloud servers or collectors, and storing and sending the drivers to the collectors.
2. The intelligent water supply network data collection method according to claim 1, wherein configuring the template comprises: a time template, an alarm template and an early warning template; correspondingly, if the characteristic data of the alarm template appear, alarm information is sent to the cloud server to realize alarm; after the cloud server determines that the alarm is effective, the intelligent alarm applies for interesting cloud data to the cloud server; the collector analyzes, compares, gathers, correlates, differences, generalizes and extracts data of the sensor, analyzes the alarm trend and the correlation, and continuously corrects the alarm trend and the correlation to form a data early warning template; and after the related alarm trend of the next data appears, early warning prompt is sent to the cloud server in advance, and an alarm template and a time template are set by a user or the server actively pushes and downloads.
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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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| CN107218966B true CN107218966B (en) | 2023-07-28 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JP4808409B2 (en) * | 2005-01-14 | 2011-11-02 | 株式会社日立製作所 | Sensor network system, sensor data search method and program |
| JP5394329B2 (en) * | 2010-06-14 | 2014-01-22 | 日本電信電話株式会社 | Sensor client device, application client device, sensor information transfer system, command information reception method, command information registration method, sensor information transfer method |
| KR20130003615A (en) * | 2011-06-30 | 2013-01-09 | 한국전자통신연구원 | Plug and play sensor module, sensor node and method for connecting by plug and play |
| CN102916990A (en) * | 2011-08-02 | 2013-02-06 | 何志雄 | Intelligent real-time online cluster dynamic management system for devices of internet of things |
| CN102313793B (en) * | 2011-09-07 | 2014-03-05 | 中国环境科学研究院 | Monitoring system of multi-component gas pollutants in air of chemical industrial park |
| CN103312794A (en) * | 2013-05-28 | 2013-09-18 | 西南大学 | Field equipment integration device based on mobile terminal |
| CN103399538A (en) * | 2013-07-18 | 2013-11-20 | 华南理工大学 | Heterogeneous network communication-based water supply network monitoring and information service system and monitoring method |
| CN104503814A (en) * | 2015-01-20 | 2015-04-08 | 山东华芯半导体有限公司 | Firmware program automatically downloading method of USB 3.0 data acquisition module |
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