CN110848578B - PDD model-based existing leakage positioning method for urban water supply pipe network - Google Patents
PDD model-based existing leakage positioning method for urban water supply pipe network Download PDFInfo
- Publication number
- CN110848578B CN110848578B CN201810951519.6A CN201810951519A CN110848578B CN 110848578 B CN110848578 B CN 110848578B CN 201810951519 A CN201810951519 A CN 201810951519A CN 110848578 B CN110848578 B CN 110848578B
- Authority
- CN
- China
- Prior art keywords
- pipe network
- water
- node
- water supply
- sales
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- 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
Abstract
An existing leakage positioning method for an urban water supply pipe network based on a PDD model. According to the method, firstly, the production and marketing difference of the pipe network needs to be analyzed, the actual production and marketing difference of the pipe network is compared with the expected production and marketing difference, and if the actual production and marketing difference exceeds the expected production and marketing difference, the existing leakage positioning is carried out on the pipe network. When the existing leakage positioning is carried out, the pipe network is subjected to hydraulic calculation according to the expected production and sales difference to obtain the pipe network condition under the expected production and sales difference. And taking the difference between the actual water supply quantity of the pipe network and the expected yield-sales difference water supply quantity as the superposed water quantity, superposing the superposed water quantity to the nodes of the expected yield-sales difference pipe network, and performing hydraulic calculation again to obtain the pressure value of each node. And finally, solving the minimum value of the target function by taking the square sum of the difference between the pressure value of the pressure monitoring point calculated by the superposed water amount and the pressure value of the actual monitoring point as an evaluation standard to obtain the existing leakage point. The invention can realize the quick positioning of the existing leakage, reduce the leakage detection time and solve the problem of the leakage storage of the pipe network.
Description
Technical Field
The invention belongs to the field of urban water supply pipe networks, relates to existing leakage positioning of a water supply pipe network, and particularly relates to an existing leakage positioning method of an urban water supply pipe network based on a pressure-driven hydraulic model (PDD model).
Background
The yield and sales difference is an important index for measuring the economic benefit of water supply enterprises, and is also the comprehensive reflection of the management service level of the water supply enterprises. The poor yield and sales are caused by various factors, and from the view of a water balance system of the international water coordination, the poor yield and sales can be divided into physical leakage of a pipe network, free water, recording errors, metering errors, water stealing and the like, wherein the leakage water is a main component of the poor yield and sales, and the reduction of the leakage water is a key for controlling the poor yield and sales. Leakage detection and repair are the most important mode for controlling the leakage of a pipe network, the first step is to adopt effective leakage detection measures to find out the specific position where the leakage occurs, and the leakage can be repaired and stopped in the next step. The research and development of leak detection technology, and the improvement of leak detection efficiency are one of the important directions in the field of leak control research, and the current common leak detection methods include a passive leak detection method and an active leak detection method. Passive leakage detection can only find a few leakage points seeping out of the ground, and the control effect on the total leakage water quantity of the pipe network is not high. The active leak detection method is to adopt various equipment instruments to analyze and detect the leakage condition of the underground pipe section, and compared with passive leak detection, the leakage condition which can not be detected by naked eyes can be detected, but the investment of the equipment is relatively high. In recent years, with the installation and improvement of a supervisory control and data acquisition (SCADA) system on a water supply network, many scholars at home and abroad are engaged in research and development of leakage detection and positioning of the water supply network mainly based on software. The method is characterized in that whether leakage occurs in a pipe network is judged and the position and the amount of leakage occurring are determined according to the change of pressure or flow values acquired by an SCADA system. The technology can improve the sensitivity and effectiveness of the leakage detection, can enable a water supply company to quickly respond after a leakage accident occurs, and has good application prospect.
Disclosure of Invention
In view of the above, the invention provides a PDD model-based existing leakage positioning method for an urban water supply network, aiming at the requirement of the water supply network on existing leakage positioning.
In order to achieve the purpose, the invention adopts the following steps:
step 1, carrying out production and marketing differential analysis to judge whether existing leakage positioning is needed
Calculating the actual production and sales rate of the existing pipe network according to the water supply and sales data of a water supply network in a partition metering area (DMA), comparing the actual production and sales rate with the expected production and sales rate, and if the actual production and sales rate exceeds the expected production and sales rate, performing existing leakage positioning; if not, positioning is not needed;
step 2, reducing the pipe network under the expected yield-sales difference rate
First, the water supply for the DMA zoned water supply network at the desired production and sales differential rate is calculated:
Qq(1+ expected yield-to-sales ratio) × S
In the formula, QqThe water supply amount of the DMA subarea under the expected yield and sales rate is S, and the actual water sale amount of the DMA subarea is S;
secondly, with QqAs total water inflow flow of the subarea pipe network, distributing flow along the line according to actual water consumption condition of the pipe network, and calculating the flow at Q by controlling the most unfavorable water pressureqObtaining the reduced water quantity and water pressure condition of the pipe network for the node flow and the water pressure of each node of the pipe network when the total water inflow flow is achieved;
step 3, calculating and positioning the superposed water volume
Subtracting the actual water supply amount of the DMA partition pipe networkDMA zoned water supply Q at expected differential production and sales ratesqAs the superposed water quantity QLNamely:
QLactual pipe network water supply-Qq
Step 4, positioning is carried out
Taking the flow and pressure of each node of the reduction pipe network as initial values of the existing leakage positioning calculation, and adding the water quantity QLSuperpose the node of reducing pipe network and carry out hydraulic calculation again, in order to make each node flow of pipe network after the stack and pressure can actually reflect current pipe network condition, reduce model calculation error, when carrying out the calculation of the water yield that adds, adopt the pressure drive hydraulic model that more laminates reality to calculate, promptly:
qi-leak=ciQi reqHi 1.18
in the formula:
qi-leak-background leakage amount (L/s) for node i;
Qi req-node nominal flow (L/s) of node i;
ci-loss factor.
In the formula:
Qi use-water consumption (L/s) by the user of node i;
QL-the burst volume (L/s) of the burst node;
Hi-the actual water pressure (m) of the node i;
Hmax-nominal water pressure (m) of node i;
Hmin-critical water pressure (m) of node i;
when the node has no additional pipe explosion, QLIs 0; calculate QLThe pressure values of all the nodes are superposed at different nodes;
finally, the pressure value H of the pressure monitoring point calculated by the objective function according to the superposed water quantityqiPressure with actual monitoring pointValue HiThe sum of the squares of the differences was used as an evaluation criterion, namely:
wherein n is the total number of the pressure monitoring points;
the invention has the beneficial effects that: the invention can realize the positioning of the existing leakage points exceeding the expected yield and sales rate, reduce the leakage detection time, reduce the leakage stock of the pipe network, and reduce the waste of water resources and the loss of water supply enterprises.
Drawings
FIG. 1 is a small DMA pipe network in G
FIG. 2 is a diagram of the positioning result of the existing leakage
FIG. 3 is a flow chart of an existing leakage location embodiment
Detailed Description
In order that the technology of the present invention may be readily understood, a more particular description of embodiments of the present invention will be rendered by reference to the appended drawings, which are illustrated in the appended drawings.
In the example, a small DMA pipe network in G city is taken as a research object, and as shown in FIG. 1, the pipe network comprises 16 common water consumption nodes, 18 pipelines, 1 pressure monitoring point, 1 water inlet, and measurement data of pressure and flow; the DMA pipe network is known to sell water in 8408m in month 43The water supply amount is 27254m3Total head of water inlet is 32.34mH2O, loss coefficient of 0.0272;
step 1, carrying out production and marketing differential analysis to judge whether existing leakage positioning is needed
Calculating the actual yield and sales rate of the existing pipe network to be 69% according to the water supply and sales data of the small water supply pipe network, and if the expected yield and sales rate is 20%, the yield and sales rate of the small DMA pipe network far exceeds the expected yield and sales rate, and the existing leakage needs to be positioned;
step 2, reducing the pipe network under the expected production and marketing difference
The small DMA pipe network is subjected to leakage positioning according to the step 1 after judgment, and the yield and the sales difference rate expected in the step 1 are20%, the water supply amount under the expected yield and sales rate is 3.65L/s according to the water sales of 4 months, and the water inlet pressure of the pipe network under the expected yield and sales rate is calculated to be 33.82mH by flow distribution and using the worst point water pressure as a constraint condition2O, the flow pressure of each node of the pipe network before and after reduction is shown in a graph 1:
TABLE 1
Step 3, calculating and positioning the superposed water volume
The actual water supply of the small DMA pipe network is 10.51L/s, when the expected yield and sales difference rate is 20 percent, the water supply Qq of the pipe network is 3.65L/s, and the positioning superposed water quantity QL6.86L/s, the positioning known data are shown in Table 2;
TABLE 2
Quantity of water sold per month (L/s) | 3.04 |
Expected rate of differential production and sales | 20% |
Expected yield and sales difference rate water supply (L/s) | 3.65 |
Reducing pipe network inlet pressure (mH2O) | 33.82 |
Positioning superimposed water volume (L/s) | 6.86 |
Loss coefficient of leakage | 0.0272 |
Monitoring point pressure (mH2O) | 26.087 |
Step 4, positioning is carried out
Taking the node flow in the reduction pipe network in the step 2 as an initial population, introducing the node flow into a traditional hydraulic model, solving through EPANET to obtain the pressure value of each node, and calculating the actual water consumption of each node by using a pressure driving model;
the superposed water quantity QLThe calculated values and the actual values are close to each other and have high positioning accuracy, the result is shown as figure 2, and the actual leakage points are confirmed to be close to the nodes with the node ID of 365 through leakage detection.
TABLE 3
Claims (1)
1. A PDD model-based existing leakage positioning method for an urban water supply pipe network is characterized by comprising the following steps:
step 1, carrying out production and marketing differential analysis to judge whether existing leakage positioning is needed
Calculating the actual production and sales rate of the existing pipe network according to the water supply and sales data of the DMA subarea water supply pipe network, comparing the actual production and sales rate with the expected production and sales rate, and if the actual production and sales rate exceeds the expected production and sales rate, performing existing leakage positioning; if not, positioning is not needed;
step 2, reducing the pipe network under the expected yield-sales difference rate
First, the water supply for the DMA zoned water supply network at the desired production and sales differential rate is calculated:
Qq(1+ expected yield-to-sales ratio) × S
In the formula, QqThe water supply amount of the DMA subarea under the expected yield and sales rate is S, and the actual water sale amount of the DMA subarea is S;
secondly, with QqAs total water inflow flow of the subarea pipe network, distributing flow along the line according to actual water consumption condition of the pipe network, and calculating the flow at Q by controlling the most unfavorable water pressureqObtaining the reduced water quantity and water pressure condition of the pipe network for the node flow and the water pressure of each node of the pipe network when the total water inflow flow is achieved;
step 3, calculating and positioning the superposed water volume
Subtracting the water supply Q of the DMA subarea under the expected yield and sales difference rate from the actual water supply of the DMA subarea pipe networkqAs the superposed water quantity QLNamely:
QLactual pipe network water supply-Qq
Step 4, positioning is carried out
Taking the flow and pressure of each node of the reduction pipe network as initial values of the existing leakage positioning calculation, and adding the water quantity QLSuperpose the node of reducing pipe network and carry out hydraulic calculation again, in order to make each node flow of pipe network after the stack and pressure can actually reflect current pipe network condition, reduce model calculation error, when carrying out the calculation of the water yield that adds, adopt the pressure drive hydraulic model that more laminates reality to calculate, promptly:
qi-leak=ciQi reqHi 1.18
in the formula:
qi-leak-background leakage amount (L/s) for node i;
Qi req-node nominal flow (L/s) of node i;
ci-a loss factor;
in the formula:
Qi use-water consumption (L/s) by the user of node i;
QL-the burst volume (L/s) of the burst node;
Hi-the actual water pressure (m) of the node i;
Hmax-nominal water pressure (m) of node i;
Hmin-critical water pressure (m) of node i;
when the node has no additional pipe explosion, QLIs 0; calculate QLThe pressure values of all the nodes are superposed at different nodes;
finally, the pressure value H of the pressure monitoring point calculated by the objective function according to the superposed water quantityqiAnd the pressure value H of the actual monitoring pointiThe sum of the squares of the differences was used as an evaluation criterion, namely:
wherein n is the total number of the pressure monitoring points.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810951519.6A CN110848578B (en) | 2018-08-21 | 2018-08-21 | PDD model-based existing leakage positioning method for urban water supply pipe network |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810951519.6A CN110848578B (en) | 2018-08-21 | 2018-08-21 | PDD model-based existing leakage positioning method for urban water supply pipe network |
Publications (2)
Publication Number | Publication Date |
---|---|
CN110848578A CN110848578A (en) | 2020-02-28 |
CN110848578B true CN110848578B (en) | 2021-07-30 |
Family
ID=69595106
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810951519.6A Active CN110848578B (en) | 2018-08-21 | 2018-08-21 | PDD model-based existing leakage positioning method for urban water supply pipe network |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110848578B (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112099542A (en) * | 2020-09-10 | 2020-12-18 | 熊猫智慧水务有限公司 | Intelligent pressure-regulating water-saving method |
CN113464850B (en) * | 2021-06-29 | 2022-03-22 | 佛燃能源集团股份有限公司 | Natural gas pipe network leakage monitoring and emergency disposal system |
CN114135794B (en) * | 2021-11-22 | 2023-11-24 | 杭州数梦工场科技有限公司 | Method and device for detecting leakage of water network |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102033969A (en) * | 2009-09-29 | 2011-04-27 | Sgi工程有限公司 | Water supply network management system and method |
CN201812305U (en) * | 2010-04-15 | 2011-04-27 | 上海燃气浦东销售有限公司 | Gas production-sale balance monitoring and analyzing system |
CN102667422A (en) * | 2009-11-17 | 2012-09-12 | 恩德莱斯和豪瑟尔过程解决方案股份公司 | Self-monitoring flow measurement assembly and method for the operation thereof |
CN105716803A (en) * | 2016-01-29 | 2016-06-29 | 深圳市捷先数码科技股份有限公司 | Integrated analysis device for leakage monitoring of water supply pipe network and method of analysis device |
CN105926723A (en) * | 2016-05-05 | 2016-09-07 | 徐州工程学院 | Tap water pipeline network operation mode beneficial for government on difference rate between production and sale |
CN106015948A (en) * | 2016-05-15 | 2016-10-12 | 芦慧 | Method and device for rapidly and accurately positioning leakage point of long oil delivery pipeline |
CN107422679A (en) * | 2016-05-23 | 2017-12-01 | 深圳市登龙科技有限公司 | A kind of water supply area meterin and control leakage system and its design method |
CN107612749A (en) * | 2017-10-17 | 2018-01-19 | 广东青藤环境科技有限公司 | A kind of DMA zone meterings and leakage loss analyzing and positioning monitoring big data platform and method |
CN107886183A (en) * | 2017-05-28 | 2018-04-06 | 山东潍微科技股份有限公司 | A kind of leakage loss metering control method based on the amount of water system three |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
MY186902A (en) * | 2014-11-19 | 2021-08-26 | Shell Int Research | Loading assembly for conveying a pressurized gas stream and a switching system for use in such a loading assembly |
-
2018
- 2018-08-21 CN CN201810951519.6A patent/CN110848578B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102033969A (en) * | 2009-09-29 | 2011-04-27 | Sgi工程有限公司 | Water supply network management system and method |
CN102667422A (en) * | 2009-11-17 | 2012-09-12 | 恩德莱斯和豪瑟尔过程解决方案股份公司 | Self-monitoring flow measurement assembly and method for the operation thereof |
CN201812305U (en) * | 2010-04-15 | 2011-04-27 | 上海燃气浦东销售有限公司 | Gas production-sale balance monitoring and analyzing system |
CN105716803A (en) * | 2016-01-29 | 2016-06-29 | 深圳市捷先数码科技股份有限公司 | Integrated analysis device for leakage monitoring of water supply pipe network and method of analysis device |
CN105926723A (en) * | 2016-05-05 | 2016-09-07 | 徐州工程学院 | Tap water pipeline network operation mode beneficial for government on difference rate between production and sale |
CN106015948A (en) * | 2016-05-15 | 2016-10-12 | 芦慧 | Method and device for rapidly and accurately positioning leakage point of long oil delivery pipeline |
CN107422679A (en) * | 2016-05-23 | 2017-12-01 | 深圳市登龙科技有限公司 | A kind of water supply area meterin and control leakage system and its design method |
CN107886183A (en) * | 2017-05-28 | 2018-04-06 | 山东潍微科技股份有限公司 | A kind of leakage loss metering control method based on the amount of water system three |
CN107612749A (en) * | 2017-10-17 | 2018-01-19 | 广东青藤环境科技有限公司 | A kind of DMA zone meterings and leakage loss analyzing and positioning monitoring big data platform and method |
Also Published As
Publication number | Publication date |
---|---|
CN110848578A (en) | 2020-02-28 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107355688B (en) | Urban water supply network leakage control management system | |
CN110848578B (en) | PDD model-based existing leakage positioning method for urban water supply pipe network | |
KR101875885B1 (en) | Water supply integrated management operating system using water network analysis | |
CN109827077B (en) | Water flow leakage early warning method, system, device and storage medium | |
De Marchis et al. | Analysis of the impact of intermittent distribution by modelling the network-filling process | |
CN108894282A (en) | City planting ductwork operational safety dynamic early-warning method | |
CN111027730B (en) | Efficient positioning method for water supply network leakage based on valve operation and online water metering | |
CN113074324B (en) | Database based on urban water supply pipe network operation safety dynamic early warning and establishing method | |
CN104976517A (en) | Wharf water supply pipe network online supervision method | |
CN104281921A (en) | Method for obtaining dynamic risk evaluation data of city underground pipe network | |
Loureiro et al. | A new approach to improve water loss control using smart metering data | |
CN104534285A (en) | Energy consumption anomaly monitoring method and device | |
CN110895354A (en) | Surface rainfall calculation method based on dynamic adjustment of Thiessen polygon | |
CN110425427B (en) | Control method for water supply pipe network leakage | |
CN108678077A (en) | A kind of method of estimation of the urban water supply pipe network model rate based on Balance Analysis | |
CN110231503B (en) | High-loss platform area electricity stealing user identification and positioning method based on Glandum causal test | |
CN111720753A (en) | Cell DMA (direct memory access) leakage detection control method based on noise monitoring technology | |
CN113343595B (en) | Inversion model of open channel water delivery system accident and method for determining accident flow and position | |
CN109027700B (en) | Method for evaluating leakage detection effect of leakage point | |
CN110782149A (en) | Method for evaluating old urban water supply pipeline reconstruction sequence | |
CN107292527B (en) | Urban drainage system performance evaluation method | |
CN106869247B (en) | A kind of method and system improving pipe network leakage control efficiency | |
CN114969068A (en) | Method and system for analyzing real-time flow monitoring data of urban pressure pipe network | |
CN109323800B (en) | Dynamic leakage detection system for railway water supply pipe network | |
Khalifa et al. | Analysis and Assessment of Water Losses in Domestic Water Distribution Networks |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |