CN113653951A - Water supply network state monitoring method based on water pressure sampling data - Google Patents
Water supply network state monitoring method based on water pressure sampling data Download PDFInfo
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- CN113653951A CN113653951A CN202110917924.8A CN202110917924A CN113653951A CN 113653951 A CN113653951 A CN 113653951A CN 202110917924 A CN202110917924 A CN 202110917924A CN 113653951 A CN113653951 A CN 113653951A
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 154
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000012544 monitoring process Methods 0.000 title claims abstract description 30
- 238000005070 sampling Methods 0.000 title claims abstract description 16
- 238000001514 detection method Methods 0.000 claims abstract description 28
- 238000009826 distribution Methods 0.000 claims abstract description 5
- 238000005315 distribution function Methods 0.000 claims abstract description 5
- 238000005259 measurement Methods 0.000 claims abstract description 3
- GNFTZDOKVXKIBK-UHFFFAOYSA-N 3-(2-methoxyethoxy)benzohydrazide Chemical compound COCCOC1=CC=CC(C(=O)NN)=C1 GNFTZDOKVXKIBK-UHFFFAOYSA-N 0.000 claims description 3
- 238000013500 data storage Methods 0.000 claims description 2
- 238000009530 blood pressure measurement Methods 0.000 claims 1
- 238000012545 processing Methods 0.000 description 6
- 230000000694 effects Effects 0.000 description 3
- 230000004075 alteration Effects 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
- F17D5/02—Preventing, monitoring, or locating loss
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F17—STORING OR DISTRIBUTING GASES OR LIQUIDS
- F17D—PIPE-LINE SYSTEMS; PIPE-LINES
- F17D5/00—Protection or supervision of installations
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Abstract
The invention discloses a water supply network state monitoring method based on water pressure sampling data, which belongs to the technical field of water supply network state monitoring, and comprises the following steps: establishing a water pressure monitoring data processing center, and carrying out regional division on water supply pipelines in a water supply network, wherein the lengths of the water supply pipes in each region are consistent; the distance is equally divided again for the water supply pipeline within the length range of each area; carrying out water pressure detection in the water supply pipeline in each length to obtain a water pressure index; during the water pressure detection, taking the detection time of each time as T; calculating a water pressure index in unit time; obtaining a distribution probability function; taking all peak values of the distribution function, and calculating the average value of the peak values; the water supply network monitoring method adopts the probability distribution of the water pressure data to monitor the water supply network, thins the area of the water supply network, simplifies the measurement process and improves the monitoring precision of the water supply network.
Description
Technical Field
The invention belongs to the technical field of water supply network state monitoring, and particularly relates to a water supply network state monitoring method based on water pressure sampling data.
Background
The water supply network is an important infrastructure for urban construction, and once a leakage accident occurs, a large amount of water resources are wasted besides affecting normal production and life. Therefore, the accident position and the leakage size can be found and known in time, the leakage of the pipe network can be controlled by adopting a corresponding remedy scheme, and the water supply facility management can be enhanced to reasonably utilize water resources, so that the method is imperative.
Nowadays, most cities detect leakage of water supply networks by passive leakage detection, i.e. they rely on professional staff to perform patrol leak detection and user leak reporting. This method is not only labor and time consuming, but also ineffective for some dark leaks. Therefore, people research some active detection methods for water supply pipe network leakage in sequence, which mainly comprise: the method comprises a sound listening leak detection method, a related leak detection method, an automatic leak sound monitoring method, a partition leak detection method and the like. The first three leak detection methods are to detect leak points by sound generated by a leak, wherein the related leak detection method is the most advanced and effective leak detection method at present, and is particularly suitable for areas with high environmental interference noise, too deep pipeline burying or unsuitable ground leak detection. The zonal leak detection method, also called a minimum flow method, is a method for determining whether water leakage exists or not by measuring the flow and pressure of a pipeline.
According to the water pressure data monitoring-based water supply network leakage diagnosis method, the relation between the flow velocity and the pressure of fluid is described according to the Bernoulli equation, the water pressure at a certain point of a pipe network is collected by a water pressure sensor and uploaded for analysis, the running condition of a nearby pipe network can be judged, and the method is considered to be a better urban pipe network water pressure information monitoring method. However, at present, the output result of monitoring the state of the water supply network based on the water pressure sampling data is not accurate enough, and in addition, the operation processing complexity is high, the data processing amount is large, so that the cost of matched hardware is large, and the real-time effect is not good.
Disclosure of Invention
The invention aims to provide a water supply network state monitoring method based on water pressure sampling data.
In order to achieve the purpose, the invention provides the following technical scheme: a water supply network state monitoring method based on water pressure sampling data comprises the following steps:
a. firstly, establishing a water pressure monitoring data processing center, and carrying out regional division on water supply pipelines in a water supply network, wherein the length of the water supply pipeline in each region is consistent, and the length is L;
b. equally dividing the distance of the water supply pipeline in the length range of each region L again, wherein the length of each equally divided distance is S;
c. carrying out water pressure detection in each water supply pipeline within the length of S to obtain a water pressure index Qn, wherein n is 1-S;
d. during the water pressure detection, taking the detection time of each time as T;
e. calculating the water pressure index in unit time as follows: Qn/T;
f. obtaining a distribution probability function:
g. and taking all peak values P1.. Pc of the distribution function, and calculating an average value P of the peak values, namely a water pressure value in the water supply pipe to obtain the state of the water supply pipe.
Preferably, the distance length S equally divided in the step b is less than or equal to 0.3L.
Preferably, T is more than or equal to 1min within 2min during the detection in the step d.
Preferably, in the step g, the average value P is a water pressure value within the length of the region L, and then, whether the normal water pressure value data is smaller than the water pressure value is compared, if yes, the water supply pipe network is determined to be in a leakage state, otherwise, the water supply pipe network is determined to be in a water discharge state and output.
Preferably, the normal water pressure value is the maximum water pressure value when the water supply network supplies water normally.
Preferably, in the step c, the water pressure detection is performed by using an electronic water pressure meter, and the measurement data is transmitted to a water pressure detection center for data storage.
The invention has the beneficial effects that:
1. according to the water supply network state monitoring method based on the water pressure sampling data, the probability function is established, the probability result is averaged, the water supply network is monitored in different regions, the method can be used for judging the output of the water supply network state in real time and monitoring each region, the output result is more accurate, and the coverage is wider.
2. According to the water supply network state monitoring method based on the water pressure sampling data, the operation processing complexity is reduced, the data processing amount is small, the matched hardware cost investment is small, and the real-time effect is good.
3. According to the water supply network state monitoring method based on the water pressure sampling data, the data collection and processing work, data summarization and remote operation processing are carried out on the water supply network state monitoring through the data processing center, the labor loss is reduced, and meanwhile the monitoring work efficiency is improved.
Drawings
FIG. 1 is a flow chart of a method for monitoring the state of a water supply network based on water pressure sampling data according to the present invention.
Detailed Description
In order to further understand the contents, features and effects of the present invention, the following embodiments are illustrated and described in detail with reference to the accompanying drawings.
Referring to fig. 1, a method for monitoring a condition of a water supply network based on water pressure sampling data according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.
The water supply network state monitoring method based on the water pressure sampling data comprises the following steps:
a. firstly, establishing a water pressure monitoring data processing center, and carrying out regional division on water supply pipelines in a water supply network, wherein the length of the water supply pipeline in each region is consistent, and the length is L;
b. equally dividing the distance of the water supply pipeline in the length range of each region L again, wherein the length of each equally divided distance is S;
c. carrying out water pressure detection in each water supply pipeline within the length of S to obtain a water pressure index Qn, wherein n is 1-S;
d. during the water pressure detection, taking the detection time of each time as T;
e. calculating the water pressure index in unit time as follows: Qn/T;
f. obtaining a distribution probability function:
g. and taking all peak values P1.. Pc of the distribution function, and calculating an average value P of the peak values, namely a water pressure value in the water supply pipe to obtain the state of the water supply pipe.
Specifically, the length S of the distance equally divided in the step b is less than or equal to 0.3L.
Specifically, T is more than or equal to 1min within 2min during detection in the step d.
Specifically, in step g, the average value P is the water pressure value within the length of the region L, and then the normal water pressure value data is compared to determine whether the value is smaller than the water pressure value, if so, the water supply network is determined to be in a leakage state, otherwise, the water supply network is determined to be in a drainage state and output.
Specifically, the normal water pressure value is the maximum water pressure value when the water supply network supplies water normally.
Specifically, in the step c, the water pressure detection adopts an electronic water pressure meter to measure, and the measured data is transmitted to a water pressure detection center to be stored.
Wherein, the electronic water pressure meter is available in the market, and the water pressure value adopts the water pressure normal limit Pmax of 0.478 Mpa.
The invention uses functions
Calculating, wherein when measuring internal parameters, an electronic water pressure meter is adopted to measure a water pressure index Qn, and the water pressure index in unit time is calculated as follows: and Qn/T, calculating through the formula, drawing a distribution function image, intercepting the value of the peak value at the position where the peak value appears, calculating an average value P to obtain the average value P which is the water pressure value in the length of the region L, comparing whether the normal water pressure value data is smaller than the water pressure value, judging that the water supply network is in a leakage state if the value is yes, and otherwise, judging that the water supply network is in a water discharge state and outputting the water.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. A water supply network state monitoring method based on water pressure sampling data is characterized by comprising the following steps:
a. firstly, establishing a water pressure monitoring data processing center, and carrying out regional division on water supply pipelines in a water supply network, wherein the length of the water supply pipeline in each region is consistent, and the length is L;
b. equally dividing the distance of the water supply pipeline in the length range of each region L again, wherein the length of each equally divided distance is S;
c. carrying out water pressure detection in each water supply pipeline within the length of S to obtain a water pressure index Qn, wherein n is 1-S;
d. during the water pressure detection, taking the detection time of each time as T;
e. calculating the water pressure index in unit time as follows: Qn/T;
f. obtaining a distribution probability function:
g. and taking all peak values P1.. Pc of the distribution function, and calculating an average value P of the peak values, namely a water pressure value in the water supply pipe to obtain the state of the water supply pipe.
2. The method as claimed in claim 1, wherein the distance S equally divided in step b is less than or equal to 0.3L.
3. The water supply network state monitoring method based on the water pressure sampling data as claimed in claim 1, wherein T is more than or equal to 1min within 2min during the detection in the step d.
4. The method as claimed in claim 1, wherein in the step g, the average value P is a water pressure value within the length of the region L, and the comparison result is compared to determine whether the normal water pressure value data is smaller than the water pressure value, if yes, the water supply network is determined to be in a leakage state, otherwise, the water supply network is determined to be in a water discharge state and output.
5. The water supply network condition monitoring method based on the water pressure sampling data as recited in claim 4, wherein the normal water pressure value is a maximum water pressure value when the water supply network normally supplies water.
6. The method as claimed in claim 1, wherein the water pressure measurement in step c is performed by an electronic water pressure meter, and the measurement data is transmitted to a water pressure measurement center for data storage.
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Citations (6)
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| JP2003329537A (en) * | 2002-05-15 | 2003-11-19 | Kubota Corp | Method for inspecting water pressure in soft pipe |
| EP1801682A1 (en) * | 2005-12-21 | 2007-06-27 | Kabushiki Kaisha Toshiba | Information analysis system for water distribution and pipelines |
| US20110290331A1 (en) * | 2008-12-30 | 2011-12-01 | I2O Water Limited | Mains Water Supply Processing |
| CN102606891A (en) * | 2012-04-11 | 2012-07-25 | 广州东芝白云自动化系统有限公司 | Water leakage detector, water leakage detecting system and water leakage detecting method |
| CN105051323A (en) * | 2013-03-15 | 2015-11-11 | 普拉德研究及开发股份有限公司 | Hydraulic fracturing with exothermic reaction |
| CN106594526A (en) * | 2016-12-02 | 2017-04-26 | 中国科学院上海微系统与信息技术研究所 | Water supply network condition monitoring method and water supply network condition monitoring device based on water pressure sampling data |
-
2021
- 2021-08-11 CN CN202110917924.8A patent/CN113653951A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003329537A (en) * | 2002-05-15 | 2003-11-19 | Kubota Corp | Method for inspecting water pressure in soft pipe |
| EP1801682A1 (en) * | 2005-12-21 | 2007-06-27 | Kabushiki Kaisha Toshiba | Information analysis system for water distribution and pipelines |
| US20110290331A1 (en) * | 2008-12-30 | 2011-12-01 | I2O Water Limited | Mains Water Supply Processing |
| CN102606891A (en) * | 2012-04-11 | 2012-07-25 | 广州东芝白云自动化系统有限公司 | Water leakage detector, water leakage detecting system and water leakage detecting method |
| CN105051323A (en) * | 2013-03-15 | 2015-11-11 | 普拉德研究及开发股份有限公司 | Hydraulic fracturing with exothermic reaction |
| CN106594526A (en) * | 2016-12-02 | 2017-04-26 | 中国科学院上海微系统与信息技术研究所 | Water supply network condition monitoring method and water supply network condition monitoring device based on water pressure sampling data |
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Application publication date: 20211116 |