CN107355688B - Urban water supply network leakage control management system - Google Patents
Urban water supply network leakage control management system Download PDFInfo
- Publication number
- CN107355688B CN107355688B CN201710576695.1A CN201710576695A CN107355688B CN 107355688 B CN107355688 B CN 107355688B CN 201710576695 A CN201710576695 A CN 201710576695A CN 107355688 B CN107355688 B CN 107355688B
- Authority
- CN
- China
- Prior art keywords
- water
- leakage
- pipe network
- pressure
- water supply
- 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
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 270
- 238000012544 monitoring process Methods 0.000 claims abstract description 36
- 230000008859 change Effects 0.000 claims abstract description 11
- 238000004458 analytical method Methods 0.000 claims abstract description 10
- 238000005516 engineering process Methods 0.000 claims abstract description 10
- 238000012360 testing method Methods 0.000 claims abstract description 10
- 230000000694 effects Effects 0.000 claims abstract description 9
- 230000004044 response Effects 0.000 claims abstract description 8
- 238000011217 control strategy Methods 0.000 claims abstract description 7
- 230000007246 mechanism Effects 0.000 claims abstract description 7
- 238000012806 monitoring device Methods 0.000 claims abstract description 4
- 238000007726 management method Methods 0.000 claims description 50
- 238000005192 partition Methods 0.000 claims description 34
- 238000000034 method Methods 0.000 claims description 14
- 230000002159 abnormal effect Effects 0.000 claims description 8
- 238000007689 inspection Methods 0.000 claims description 6
- 230000006870 function Effects 0.000 claims description 4
- 230000001052 transient effect Effects 0.000 claims description 4
- 238000011156 evaluation Methods 0.000 claims description 3
- 238000012946 outsourcing Methods 0.000 claims description 3
- 238000003860 storage Methods 0.000 description 8
- 230000008901 benefit Effects 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 238000009826 distribution Methods 0.000 description 3
- 238000004880 explosion Methods 0.000 description 3
- 230000001965 increasing effect Effects 0.000 description 3
- 238000004422 calculation algorithm Methods 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 239000002184 metal Substances 0.000 description 2
- 238000000926 separation method Methods 0.000 description 2
- 238000009412 basement excavation Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000000739 chaotic effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 238000007418 data mining Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 230000002068 genetic effect Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000007711 solidification Methods 0.000 description 1
- 230000008023 solidification Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- 238000013014 water-saving technology Methods 0.000 description 1
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
- F17D5/06—Preventing, monitoring, or locating loss using electric or acoustic means
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- 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
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A20/00—Water conservation; Efficient water supply; Efficient water use
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Operations Research (AREA)
- Acoustics & Sound (AREA)
- Quality & Reliability (AREA)
- General Engineering & Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Mechanical Engineering (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Examining Or Testing Airtightness (AREA)
- Pipeline Systems (AREA)
Abstract
A LeakView town water supply pipe network leakage control management system comprises: the control management system comprises a subarea management system, an online leakage noise monitoring system and a water hammer early warning monitoring system, wherein the subarea management system forms a factory water quantity, a first-stage subarea, a second-stage subarea, a DMA (direct memory access) and a multi-stage water consumption unit subarea management mode at the tail end of a user on a water supply pipe network, each water consumption unit is scientifically managed through a water balance test, a pressure regulation and control strategy with optimal water saving effect and economic matching property is formulated through a water supply pipe network leakage-to-pressure response mechanism, a terminal noise monitoring device for online leakage noise monitoring replaces manual leakage listening, noise is displayed in a data form, a suspected leakage area is found through key data comparison and pressure fluctuation analysis, the water hammer early warning monitoring system adopts a network system instantaneous variable flow condition and a big data technology to be combined, the rapid pressure change of the online monitoring pipe network system is realized, and an, and online early warning is realized, data is deeply mined and analyzed, and water hammer protection is formulated.
Description
Technical Field
The invention relates to operation and running management of a water supply network, belongs to the technical field of municipal engineering, and particularly relates to a leakage control management system of a water supply network in cities and towns.
Background
In the prior art, the pipeline is regularly inspected, basic subarea measurement is carried out, and whether water leakage exists or not is judged according to the minimum flow at night. Pipeline inspection requires a large amount of manpower and is inefficient in leakage detection. And judging whether false alarm and missing alarm occur frequently according to the minimum flow at night in the subarea, and wasting manpower to go to the field for inspection.
Disclosure of Invention
In order to overcome the defects of the technology, the invention provides a leakage control management system for a town water supply network. The invention is realized by the following modes:
a leakage control management system for a town water supply pipe network comprises: the control management system comprises a partition management system, an online leakage noise monitoring system and a water hammer early warning monitoring system, wherein the partition management system forms a water supply network into a primary partition, a secondary partition, a DMA (direct memory access) and a multi-stage water unit partition management mode at the tail end of a user, each water unit is scientifically managed through a water balance test, a pressure regulation and control strategy with optimal water saving effect and economic matching property is formulated through a water supply network leakage-to-pressure response mechanism, a terminal noise monitoring device for online leakage noise monitoring replaces manual leakage listening, noise is displayed in a data form, a suspected leakage area is found through key data comparison and analysis, the water hammer early warning monitoring system adopts the combination of a pipe network system transient pressure fluctuation condition and a big data technology to realize the rapid change of the online monitoring pipe network system pressure and give an alarm on the abnormal pressure change condition in real time, and online early warning is realized, data is deeply mined and analyzed, and water hammer protection is formulated.
The partition management system forms a first-level partition, a second-level partition, DMA (direct memory access) and a user terminal multi-level water consumption unit partition management mode for the water supply pipe network, the first-level partition and the second-level partition mainly form partitions according to the water consumption property, the terrain and the pressure of a water source and can also be divided according to administrative districts, water is supplied by a special water supply main pipe or main pipe, then water is supplied to users at the next level through branch pipes in the partitions, and the functional separation of the water supply main pipe and the branch pipes is realized.
The main water balance testing step comprises the following steps:
1) counting the total water supply amount, namely counting the annual total water supply amount of a water supply unit, wherein the annual total water supply amount comprises a self-produced water supply amount and an outsourcing water supply amount;
2) the method comprises the following steps of counting water consumption of registered users, and counting the total annual water consumption of all users registered in a water supply unit, wherein the total annual water consumption comprises two parts of water consumption for charging and water consumption for free;
3) measuring the loss water quantity of the resident users caused by the change of the charging nodes (from the total meter to the household meter) and the loss water quantity of the non-resident users caused by the metering error to obtain the total loss water quantity of the metering,
4) estimating other water loss, namely estimating water used by unregistered users and water loss caused by management factors such as user refusal;
5) and calculating the water leakage amount, and subtracting the water consumption of the registered user, the measured water loss amount and other water loss amounts from the total water supply amount to obtain the water leakage amount.
The terminal noise monitoring equipment is used for replacing manual leakage listening, a leakage noise recorder is deployed on the basis of a subarea pipe network or a main pipe network in a large scale, leakage monitoring is carried out on the pipe network for a period of time in a routing inspection type or fixed type mode, noise is recorded, the noise is displayed in a data mode, an area suspected of leakage existence is found through key data comparison and analysis, and the online noise monitoring system has the functions of evaluation, finding and positioning.
Water hammer recorders are arranged on a water conveying pipeline and a main pipe network pipeline of a water supply system, the pressure fluctuation condition of the pipe network system is monitored on line in real time at high frequency, abnormal condition records are used for analysis, and a protection measure scheme is formulated.
Specifically, through the water supply pipe network leakage to pressure response mechanism, formulate the optimal pressure regulation and control strategy of water conservation effect and economic matchability and include:
1) calculating the water quantity of the pipe network node
Q=cPn
In the formula: q is the water saving quantity of the pipe network; c is the loss coefficient value; p is the pipe network pressure; n is the pipe index;
2) calculating the water saving amount calculated by pressure control
In the formula: q1For pressure controlThe water quantity of the front pipe network nodes; q2The water quantity of the pipe network nodes after pressure control; h1The pressure of the pipe network before pressure control; h2Pipe network pressure for implementing pressure control; said N is1Is the pipe index; said N is1Including 0.5-2.5;
by means of said formula, the implementation pressure control Q can be calculated2According to the amount of water of (a), further according to QNode (C)=Q1-Q2Calculating the water saving quantity Q calculated by pressure controlNode (C);
3) Providing optimal service pressure for the pressure of the pipe network according to the water consumption of users every hour;
the optimal service pressure comprises: the lowest pressure of the water consumption of the user in the pressure control implementing area is met;
specifically, the N is1The method comprises the following steps: when the pipe is metal, N1Is 0.5; when the condition of the on-site pipe is not mastered, the N is1Is 1; the leakage is small leakage of the pipe joint or background leakage, N1Is 1.5; when the pipe is plastic, N1Is 2.5.
It is another object of the present invention to provide an apparatus, system, terminal device, storage device, and/or medium, which contains the following instructions and/or an application program that can execute the instructions:
calculating or judging the optimal service pressure;
the calculating or determining the optimal service pressure comprises:
1) calculating the water quantity of the pipe network node
Q=cPn
In the formula: q is the water saving quantity of the pipe network; c is the loss coefficient value; p is the pipe network pressure; n is the pipe index;
2) calculating the water saving amount calculated by pressure control
In the formula: q1The water quantity of the pipe network nodes before pressure control; q2The water quantity of the pipe network nodes after pressure control; h1The pressure of the pipe network before pressure control; h2Pipe network pressure for implementing pressure control; said N is1Is the pipe index; said N is1Including 0.5-2.5;
by means of said formula, the implementation pressure control Q can be calculated2According to the amount of water of (a), further according to QNode (C)=Q1-Q2Calculating the water saving quantity Q calculated by pressure controlNode (C);
3) Providing optimal service pressure for the pressure of the pipe network according to the water consumption of users every hour;
the optimal service pressure comprises: the lowest pressure of the water consumption of the user in the pressure control implementing area is met;
specifically, the terminal device comprises a mobile and/or intelligent terminal; the device comprises a mobile phone, a computer, a notebook computer and a robot; the storage device comprises a storage device of a mobile phone, a computer, a notebook computer, a robot and/or a system; the medium comprises a hard disk, a mobile hard disk, an optical disk, a floppy disk, a document, a file and a U disk.
It is a further object of the present invention to provide a method for preparing the apparatus, system, terminal device, storage device, and/or medium of the present invention, the method comprising importing, writing, and/or migrating the instructions and/or applications into the apparatus, system, terminal device, storage device, and/or medium.
It is a further object of any of the systems, apparatus, systems, terminal devices, storage devices, and/or media of the present invention to provide for the use of any of the systems, apparatus, systems, terminal devices, storage devices, and/or media of the present invention in reducing leakage, controlling leakage, and/or making products related to leakage control.
The invention has the beneficial effects that:
1. partition management is one of effective means for solving the problems of poor yield and poor leakage. The distribution of the water supply quantity in the pipe network system is intelligently scheduled from the height of the water supply management, and meanwhile, the hydraulic working condition of the pipe network is refined and optimized from the minimum granularity. The enterprise realizes pipe network optimization operation, balances pipe network pressure, reduces the pipe explosion accident, improves the water quality condition, reduces poor production and sales, reduces leakage loss, reduces direct and indirect economic loss, and improves enterprise operation income.
2. The water balance test is the basis of planned water management and is a prerequisite for water-saving fine excavation, and plays an important and irreplaceable role in water-saving management. The emphasis degree of enterprises on the management work related to water is improved, the management work related to water is strengthened, the water saving of the enterprises is improved, the management level of water use and water management is improved, and the like. Meanwhile, the water-saving consciousness of the whole people is enhanced.
3. The pressure management that becomes more meticulous makes the enterprise realize water conservation effect fast, reduces the leakage rate, and balanced pipe network pressure improves the pipe network operation condition, reduces the pipe explosion accident, extension asset life, improves user satisfaction, reduces direct and indirect economic loss.
4. The large-scale user management enables enterprises to realize on-line monitoring of large-scale users, solves the problem of 'large-horse drawing trolley' or 'small-horse drawing trolley', and the institutional water meter period verification plan is used for prolonging the water meter period, improving the metering accuracy, increasing the income of the enterprises and solving the problems of poor production and marketing and leakage loss.
5. The new metrology management enables enterprises to search leakage points through data mining, breaks through the difficulty of water saving from the source, and achieves the purposes of reducing poor production and sales and reducing leakage rate. The water supply is differentiated with strong pertinence, the improvement of the water-saving technology is promoted, and the reasonable and effective distribution of the water supply is realized. Meanwhile, the conversion of the management mode concept of the metering device is promoted, the metering technical specification is perfected, a metering system is sound, the water supply cost is reduced, and the enterprise income is improved.
6. Leakage noise monitoring enables enterprises to utilize a routing inspection type or fixed large-scale arrangement leakage noise recorder to be combined with partition pipe network monitoring and verified, so that the accuracy of leakage event alarming is improved, the leakage range is narrowed, and the accuracy of leakage point positioning is improved.
7. The water hammer early warning enables enterprises to monitor the pressure condition of a water supply system on line at high frequency in real time, analyze pressure abnormal data and formulate a water hammer early warning plan, so that the response capability of emergency abnormal accidents is improved, the affected range is reduced, and unnecessary economic loss is reduced.
Drawings
FIG. 1 is a schematic view of a partitioned management structure of a town water supply network
Detailed Description
A leakage control management system for a town water supply pipe network comprises: the control management system comprises a partition management system, an online leakage noise monitoring system and a water hammer early warning monitoring system, wherein the partition management system forms a water supply network into a primary partition, a secondary partition, a DMA (direct memory access) and a multi-stage water unit partition management mode at the tail end of a user, each water unit is scientifically managed through a water balance test, a pressure regulation and control strategy with optimal water saving effect and economic matching property is formulated through a water supply network leakage-to-pressure response mechanism, a terminal noise monitoring device for online leakage noise monitoring replaces manual leakage listening, noise is displayed in a data form, a suspected leakage area is found through key data comparison and analysis, the water hammer early warning monitoring system adopts the combination of a pipe network system transient pressure fluctuation condition and a big data technology to realize the rapid change of the online monitoring pipe network system pressure and give an alarm on the abnormal pressure change condition in real time, and online early warning is realized, data is deeply mined and analyzed, and water hammer protection is formulated. The implementation method for dividing DMA is to comprehensively consider the properties, positions and quantity of water sources, urban landforms, administrative division functional properties, basic information conditions of a topological structure of a water supply network and the like, construct or modify a pipe network system into partitions with different levels and different functions, and realize the partitioned water supply.
As shown in fig. 1, the primary partition and the secondary partition are formed into partitions mainly according to the water use property of a water source, the terrain and the pressure, and can be divided into administrative partitions. The water is supplied by a special main water supply pipe or main pipe, and then is supplied to the users at the next level through branch pipes in the subareas, so that the functional separation of the main water supply pipe and the branch pipes is realized. The flow meter is arranged on the boundary of the water supply in the subarea, the valve which does not influence the hydraulic working condition can be properly closed, the reconstruction or the addition of the pipe network is reduced as much as possible, and pressure, flow and water quality monitoring points are arranged in the subarea to monitor and monitor the running condition of the pipe network. Regularly maintain the valve of closing and discharge the end water, guarantee water supply safe and reliable degree.
DMA, large users and non-DMA are divided in a water supply pipe network. The DMA is composed of residential users, business users or other users. DMA forms a single-way water inlet by closing a valve as much as possible; the need for multiple inlets makes the water meter location and relationship clear and confirms that the partition is completely sealed by multiple inlets metering, in principle there are no more than two inlets. Regularly maintain the valve of closing and discharge the end water, guarantee water supply safe and reliable degree.
Establishing DMA (direct memory access) high coverage and large user measurement, virtually gathering the DMA into a secondary partition, and establishing an automatic pressure balance system (namely water quantity balance) for supplying water according to needs in a secondary area through pressure regulation to ensure the operation safety of a water supply network; the virtual summarization becomes a primary partition, and the process is a gradual solidification process.
The water balance test is an effective method for scientific management of water units and is also a foundation for further making water-saving work in cities. The water consumption unit pipe network condition and the water consumption current situation of each unit can be comprehensively known through the water balance test, the water balance diagram is drawn, the water balance relation and the reasonable water consumption degree are found according to the measured water quantity data, corresponding measures are taken, the water saving potential is excavated, and the purposes of enhancing the water consumption management and improving the reasonable water consumption level are achieved.
The water quantity data specifically comprises: total water supply, water consumption of registered users, measured water loss and other water loss.
Water leakage amount is water supply total amount-water consumption of registered user
The water loss is measured, and other water losses are calculated
Other water loss amounts refer to water loss amounts caused by management factors such as water consumption of unregistered users and user refusal
The process of calculating the water leakage loss mainly comprises the following steps:
1) and (5) counting the total water supply amount. And (4) counting the annual water supply total amount of a water supply unit, wherein the annual water supply total amount comprises a self-produced water supply amount and an outsourcing water supply amount.
2) And (5) counting the water consumption of the registered user. And (4) counting the annual water consumption sum of all users registered in the water supply unit, wherein the annual water consumption sum comprises two parts of the water consumption of charging and the water consumption of free.
3) And measuring the water loss. And respectively testing the water loss of the resident users caused by the change of the charging nodes (from the general meter to the household meter) and the water loss of the non-resident users caused by the metering error to obtain the total metered water loss.
4) Other water losses are estimated. Water for unregistered users and lost water due to administrative factors such as user denial are estimated.
5) And calculating the water loss amount. And subtracting the water consumption of the registered user, the measured water loss and other water losses from the total water supply amount to obtain the water leakage amount.
The implementation of intelligent fine regional pressure management brings comprehensive benefits to the optimized operation of the partitioned water supply network. Through the mode of pressure management, bring the quick and showing water conservation effect. The pressure control can optimize the operation of a pipe network, balance the pressure of the pipe network, protect the local pressure, reduce pipe explosion accidents and save water resources. Meanwhile, the water supply network management is a long-term operation and maintenance process, the service life of the water supply network can be prolonged through the optimized operation of pressure, the economy of the use of the pipe network assets is improved, and the existing stock pipe network assets are fully and reasonably utilized. A leakage model and a pressure control model are established based on a simulation technology and a chaotic genetic algorithm, a leakage-to-pressure response mechanism is researched, a pressure regulation and control strategy with optimal water saving effect and economic matching is formulated, and water saving quantity is calculated.
The relationship between the water quantity of the pipe network nodes and the pipe network pressure is as follows:
Q=cPn
in the above formula: q is the water quantity of the pipe network nodes; c is the loss coefficient value; p is the pipe network pressure; n is set to 0.5.
The larger the pressure of the pipe network is, the larger the leakage water quantity is;
water saving quantity (Q) calculated by pressure controlNode (C)) The calculation formula of (a) is as follows:
in the above formula: q1The amount of water (m) before pressure control3/h);Q2The amount of water (m) after pressure control3/h);H1Is the pressure (m) before pressure control; h2A pressure (m) for performing pressure control; said N is1Is the pipe index; said N is1Comprises 0.5 to 2.5; specifically, when the pipe is metal, N1Is 0.5; when the condition of the on-site pipe is not mastered, the N is1Is 1; the leakage is small leakage of the pipe joint or background leakage, N1Is 1.5; when the pipe is plastic, N1Is 2.5;
the pressure control Q can be calculated by the above formula2Amount of water (Q)1、H1、H2、N1Known) and further according to QNode (C)= Q1-Q2Calculating the water saving quantity Q calculated by pressure controlNode (C)。
The implementation of intelligent refined regional pressure management comprises the following steps: the method is characterized in that the optimal service pressure is provided for the pressure of a pipe network according to the water consumption of users every hour (the conditions of floors and the like of each pressure control case are different, the required service pressure is different, the lower the pressure of pressure control is, the larger the water saving amount is, the optimal service pressure firstly needs to ensure the basic service pressure required by a pressure control area), and redundant water heads are avoided. Thus, the pressure of the main pipe network can be increased, and the pressure of the pipe network can be balanced.
The supervision of large users is enhanced, and the construction development, economic benefit and social benefit of enterprises are directly related. By managing large users, the water selling amount of an enterprise can be effectively improved, the poor yield and sales are reduced, and the water selling income of the enterprise is increased. Therefore, the water meters of large users are managed from four aspects of selecting, using, managing and replacing meters, the matching analysis of the water meters is realized by utilizing the algorithm independently developed by the water networking, and meanwhile, a plan of periodic inspection of the water meters is made according to meter checking management.
The production and sales difference and the leakage are caused by unreasonable configuration of the metering instrument, out-of-order supervision and the delay and disorder of the water supply system information caused by the out-of-order supervision. Establishing a flow field model in the closed pipeline under different interference conditions based on a computational fluid dynamics technology, constructing a configuration scheme library of the metering instrument, solidifying the configuration scheme library into optimized configuration software, and promoting the informatization reconstruction of the water flow meter. The method has the advantages that the method completes acquisition, transmission, storage and analysis of metering data by means of big data cloud technology and the like, establishes a metering monitoring system, promotes adjustment of urban water structure, improves water utilization efficiency, realizes scientific metering, distribution and fine management, and promotes 'metering appliance management' to 'metering data management'.
The leakage noise monitoring is to replace manual leakage listening by terminal noise monitoring equipment through the traditional acoustic principle, display noise in a data form, and find out an area in which suspected leakage exists through comparison and analysis of key data. The online noise monitoring system has the functions of evaluation, discovery and positioning. The technology is combined with the partition and used as a mode for carrying out leakage general investigation by large-scale quick deployment, so that the leakage general investigation efficiency is improved, and the monitoring and management of the leakage are perfected.
Water hammer is easily caused by the conditions that a water supply system water pipe and a water supply network main pipe are suddenly opened or closed by a valve, a water pump is stopped or opened and the like. In order to prevent the water hammer from occurring, the invention combines the transient variable flow pressure fluctuation condition of the pipe network system with a big data technology, realizes the on-line monitoring of the rapid change of the pressure of the pipe network system, immediately alarms the abnormal pressure change condition, realizes the on-line early warning, deeply excavates and analyzes data, and formulates the water hammer protection.
Claims (4)
1. The utility model provides a town water supply network leakage control management system which characterized in that: the control management system comprises a partition management system, an online leakage noise monitoring system and a water hammer early warning monitoring system, wherein the partition management system forms a water supply pipe network into a primary partition, a secondary partition, a DMA (direct memory access) and a multi-stage water unit partition management mode at the tail end of a user, each water unit is scientifically managed through a water balance test, a pressure regulation and control strategy with optimal water saving effect and economic matching property is formulated through a water supply pipe network leakage-to-pressure response mechanism, a terminal noise monitoring device for online leakage noise monitoring replaces manual leakage listening, noise is displayed in a data form, a region suspected to be leaked is found through data comparison and analysis, the water hammer early warning monitoring system adopts the combination of transient variable flow pressure fluctuation condition of a pipe network system and a big data technology to realize the rapid change of the pressure of the online monitoring pipe network system, immediately alarm the abnormal pressure change condition and realize online early warning, analyzing data and formulating water hammer protection, wherein: through water supply pipe network leakage to pressure response mechanism, formulate the pressure regulation and control strategy that water conservation effect and economic matchability are optimal and include:
1) calculating the water quantity of the pipe network node
Q=cPn(1)
In equation (1): q is the water quantity of the pipe network nodes; c is the loss coefficient value; p is the pipe network pressure; n is the pipe index;
2) calculating the water saving amount calculated by pressure control
In equation (2): q1The water quantity of the pipe network nodes before pressure control; q2The water quantity of the pipe network nodes after pressure control; h1The pressure of the pipe network before pressure control; h2Pipe network pressure for implementing pressure control; n is a radical of1Is the pipe index; n is a radical of1Comprises 0.5 to 2.5;
by means of said formula, the implementation pressure control Q can be calculated2According to the amount of water of (a), further according to QNode (C)=Q1-Q2Calculating the water saving quantity Q calculated by pressure controlNode (C);
3) And the pressure of the pipe network is controlled to provide the optimal service pressure according to the water consumption of the user every hour.
2. The urban water supply network leakage control and management system according to claim 1, characterized in that: the water balance testing step comprises the following steps:
1) counting the total water supply amount, namely counting the annual total water supply amount of a water supply unit, wherein the annual total water supply amount comprises a self-produced water supply amount and an outsourcing water supply amount;
2) the method comprises the following steps of counting water consumption of registered users, and counting the total annual water consumption of all users registered in a water supply unit, wherein the total annual water consumption comprises two parts of water consumption for charging and water consumption for free;
3) measuring the loss water quantity of the resident users and the non-resident users caused by the metering error respectively to obtain the total loss water quantity of the metering,
4) estimating other lost water amounts, estimating water used by unregistered users and the lost water amount caused by the reason that the users refuse to check the management factors;
5) and calculating the water leakage amount, and subtracting the water consumption of the registered user, the measured water loss amount and other water loss amounts from the total water supply amount to obtain the water leakage amount.
3. The urban water supply network leakage control and management system according to claim 1, characterized in that: the terminal noise monitoring equipment is used for replacing manual leakage listening, a leakage noise recorder is deployed on the basis of a subarea pipe network or a main pipe network in a large scale, leakage monitoring is carried out on the pipe network for a period of time in a routing inspection type or fixed type mode, noise is recorded, the noise is displayed in a data mode, an area suspected of leakage is found, and the online noise monitoring system has the functions of evaluation, finding and positioning.
4. The urban water supply network leakage control and management system according to claim 1, characterized in that: and water hammer recorders are arranged on a water conveying pipeline and a main pipe network pipeline of the water supply system, so that the pressure fluctuation condition of the pipe network system is monitored on line in real time, abnormal condition records are used for analysis, and a protection measure scheme is formulated.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710576695.1A CN107355688B (en) | 2017-07-14 | 2017-07-14 | Urban water supply network leakage control management system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710576695.1A CN107355688B (en) | 2017-07-14 | 2017-07-14 | Urban water supply network leakage control management system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107355688A CN107355688A (en) | 2017-11-17 |
CN107355688B true CN107355688B (en) | 2020-04-21 |
Family
ID=60293534
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710576695.1A Active CN107355688B (en) | 2017-07-14 | 2017-07-14 | Urban water supply network leakage control management system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107355688B (en) |
Families Citing this family (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108090845A (en) * | 2017-12-04 | 2018-05-29 | 深圳万城节能股份有限公司 | Management of the use of water platform and management of the use of water method |
CN108458254B (en) * | 2018-03-13 | 2023-11-03 | 湖北精瑞通流体控制技术有限公司 | Harmonic response pipeline monitoring system of chaotic system |
EP3588234B1 (en) * | 2018-06-21 | 2021-03-17 | Grundfos Holding A/S | Control system and method for controlling a water supply from at least two separate input lines into a sector of a water supply network |
CN108572578A (en) * | 2018-07-18 | 2018-09-25 | 湖南兴水节能环保科技有限公司 | Water supply network intelligence managing and control system based on internet and Internet of Things application |
CN109784540B (en) * | 2018-12-18 | 2022-12-27 | 深圳市东深电子股份有限公司 | DMA partition-based water supply layout optimization system and optimization method |
CN109784746A (en) * | 2019-01-25 | 2019-05-21 | 东南大学 | Urban-rural water supply network waterpower simulation of water quality platform |
CN110108328B (en) * | 2019-04-03 | 2021-03-26 | 同济大学 | Method for acquiring water leakage amount of leakage area of water supply pipe network |
CN111022937B (en) * | 2019-12-11 | 2021-03-23 | 浙江嘉科信息科技有限公司 | Water pipe network leakage positioning system and positioning method |
CN111080483B (en) * | 2019-12-17 | 2023-03-14 | 上海市城市建设设计研究总院(集团)有限公司 | DMA automatic partitioning method for water supply network based on graph division |
CN111006137B (en) * | 2019-12-18 | 2021-12-17 | 北京无线电计量测试研究所 | Water supply pipeline leakage monitoring and leakage positioning method and system |
CN111720753A (en) * | 2020-04-09 | 2020-09-29 | 苏州市自来水有限公司 | Cell DMA (direct memory access) leakage detection control method based on noise monitoring technology |
CN112594555A (en) * | 2020-12-07 | 2021-04-02 | 熊猫智慧水务有限公司 | Water-saving space assessment method based on pipeline leakage and tail end abnormity |
CN112696616B (en) * | 2021-01-29 | 2022-08-05 | 浙江和达科技股份有限公司 | Water supply network wisdom management and control system |
CN113435796B (en) * | 2021-08-26 | 2021-11-16 | 中冶节能环保有限责任公司 | Water quality and water quantity early warning method and system based on single connection point |
CN114659036A (en) * | 2022-03-23 | 2022-06-24 | 江西省共青城润泉供水有限公司 | Distributed tap water pipe network loss monitoring system and method |
CN115140264B (en) * | 2022-05-17 | 2023-07-25 | 中船黄埔文冲船舶有限公司 | Partition debugging method |
CN117455203B (en) * | 2023-12-25 | 2024-03-15 | 深圳市科荣软件股份有限公司 | Urban and rural integrated water supply leakage management method and system based on multistage subareas |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB0908184D0 (en) * | 2009-05-13 | 2009-06-24 | Univ Exeter | Bayesian-based online burst detection in water distribution systems |
CN102072407A (en) * | 2009-11-23 | 2011-05-25 | 中国科学院生态环境研究中心 | Leakage loss detection method combining leakage loss recording instrument with district metering areas (DMA) |
CN104929191B (en) * | 2015-06-12 | 2017-01-25 | 中国科学院生态环境研究中心 | Water supply network leakage loss control method |
CN104929186B (en) * | 2015-06-24 | 2017-03-29 | 天津三博水科技有限公司 | A kind of blocking method of water supply network and the blocking system of water supply network |
CN105927863B (en) * | 2016-05-07 | 2018-06-29 | 大连理工大学 | DMA subregions pipeline network leak on-line checking alignment system and its detection localization method |
CN105807801A (en) * | 2016-05-12 | 2016-07-27 | 大连理工大学 | DMA partition optimization operation control system of urban water supply pipeline |
CN106202765B (en) * | 2016-07-15 | 2019-05-03 | 杭州电子科技大学 | A kind of public supply mains DMA Real-time modeling set method |
-
2017
- 2017-07-14 CN CN201710576695.1A patent/CN107355688B/en active Active
Non-Patent Citations (3)
Title |
---|
http://www.doc88.com/p-5085896908772.html;zhypz_1957;《LeakView应用模式是供水管理漏损新的技术发展方向》;20150306;第1-3页 * |
http://www.docin.com/p-218621783.html;zhaoxing_98;《水平衡图表》;20110610;第1页 * |
zhypz_1957.http://www.doc88.com/p-5085896908772.html.《LeakView应用模式是供水管理漏损新的技术发展方向》.2015, * |
Also Published As
Publication number | Publication date |
---|---|
CN107355688A (en) | 2017-11-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107355688B (en) | Urban water supply network leakage control management system | |
CN107194621B (en) | Water supply network management system and method | |
Christodoulou et al. | A study on the effects of intermittent water supply on the vulnerability of urban water distribution networks | |
Li et al. | Development of systems for detection, early warning, and control of pipeline leakage in drinking water distribution: A case study | |
CN102033969B (en) | Water supply network management system and method | |
JP2013521558A (en) | System and method for monitoring resources in a water supply network | |
Rashid | AMI smart meter big data analytics for time series of electricity consumption | |
KR101648272B1 (en) | Method for forecasting household water demand and detecting water leakage based on complex event processing and machine learning | |
CN110991942A (en) | Intelligent water affair DMA leakage analysis system | |
CN102235575A (en) | Data processing method and system for checking pipeline leakage | |
Hadzilacos et al. | UtilNets: a water mains rehabilitation decision-support system | |
Romano et al. | Statistical process control based system for approximate location of pipe bursts and leaks in water distribution systems | |
WO2021097887A1 (en) | Valve operation and online water metering-based method for efficiently positioning leakage in water supply pipe network | |
CN109376925A (en) | Water supply network node flow dynamic self-adapting optimization method | |
Candelieri et al. | Improving leakage management in urban water distribution networks through data analytics and hydraulic simulation | |
CN109271465A (en) | A kind of Hydrological Data Analysis and methods of exhibiting based on cloud computing | |
CN201229289Y (en) | Corrosion predicting device | |
Spedaletti et al. | Improvement of the energy efficiency in water systems through water losses reduction using the district metered area (DMA) approach | |
CN111720753A (en) | Cell DMA (direct memory access) leakage detection control method based on noise monitoring technology | |
Nazif et al. | Increasing water security: An algorithm to improve water distribution performance | |
CN110848578B (en) | PDD model-based existing leakage positioning method for urban water supply pipe network | |
Savic et al. | Intelligent urban water infrastructure management | |
Mamo et al. | Urban water demand forecasting using the stochastic nature of short term historical water demand and supply pattern | |
CN112632733A (en) | Arrangement method of newly added flow meters of water supply network for maximizing monitoring information | |
Kanakoudis et al. | Developing a DSS tool to merge the gap between a water pipe network's NRW level assessment and the prioritization of the potential healing measures |
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 | ||
CB03 | Change of inventor or designer information |
Inventor after: Wang Zhijun Inventor after: Li Songsen Inventor after: Zhou Chen Inventor after: Zhang Jian Inventor after: Shi Zesen Inventor before: Wang Zhijun Inventor before: Zhou Chen Inventor before: Li Songsen Inventor before: Zhang Jian Inventor before: Shi Zesen |
|
CB03 | Change of inventor or designer information |