CN108960489A - Water supply network pressure monitoring point optimization placement method - Google Patents
Water supply network pressure monitoring point optimization placement method Download PDFInfo
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- CN108960489A CN108960489A CN201810613673.2A CN201810613673A CN108960489A CN 108960489 A CN108960489 A CN 108960489A CN 201810613673 A CN201810613673 A CN 201810613673A CN 108960489 A CN108960489 A CN 108960489A
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- network pressure
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- 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
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention discloses a kind of water supply network pressure monitoring point optimization placement methods, using the arrangement of improved multiple target honeybee mating optimization algorithm optimization water supply network pressure monitoring point, all feasible schemes are made all in the solution space of multi-objective optimization algorithm, to finally obtain the optimal case of water supply network pressure monitoring point arrangement as far as possible.The method of the present invention, which is realized, mates optimization algorithm with improved honeybee in MATLAB software to solve water supply network pressure monitoring point preferred arrangement mathematical model, this improved honeybee mating optimization algorithm gives up speed parameter in parameter setting, using energy parameter as decision, which drone can be with the standard of queen mating, and its crossover operation is improved to two-point crossover, the problems such as basic honeybee mating algorithm is easy Premature Convergence, convergence precision is low is improved, which realizes the innovation of water supply network pressure monitoring point preferred arrangement.
Description
Technical field
The invention belongs to municipal water supply ductwork pressure monitoring points to arrange field, be related to water supply network pressure monitoring point optimization cloth
Set method, and in particular to water supply network pressure monitoring point preferred arrangement technology.
Background technique
In order to carry out effective monitoring to municipal water supply pipe network, pressure monitoring point need to be set and carry out pressure data acquisition, in this way
Entire water supply network pressure distribution is not only intuitively understood, while there is reality to the problems such as control water supply network leakage loss, booster
Meaning, so the arrangement of monitoring point and selection must have accuracy and representativeness.It is excellent for water supply network pressure monitoring point
Change Layout Problem, domestic and foreign scholars are proposed the method for some water supply network pressure monitoring point preferred arrangements, such as utilize mould
It pastes overall merit and optimization algorithm constructs monitoring system；Using single objective genetic algorithm, pass through analysis node hydraulic pressure correlation
And its quantitative criteria, it establishes the mathematical model of water supply network pressure monitoring point preferred arrangement and it is solved；Utilize feed pipe
The sensitivity matrix and ant colony optimization for solving monitoring point optimization model of net；Using particle swarm algorithm multiple spot stationary source condition
Under, entire pipe network initial contamination source point is searched out using target pollutant concentration value highest as single-goal function, as prison
Measuring point.Pressure monitoring point preferred arrangement mathematical model is constructed with single-goal function, certain a kind of optimization problem can only be solved, with reality
Border situation is not inconsistent, and has some limitations.In order to consider the factor of monitoring point arrangement various aspects, multi-objective optimization algorithm is introduced
Solve monitoring point optimization Layout Problem.
Summary of the invention
In order to solve the problems in the prior art, the present invention provides a kind of water supply network pressure monitoring point preferred arrangement side
Method solves to construct pressure monitoring point preferred arrangement mathematical model in the prior art with single-goal function, it is a kind of most can only to solve certain
Optimization problem is not inconsistent with actual conditions, there are problems that certain limitation.
The technical scheme is that
A kind of water supply network pressure monitoring point optimization placement method, by city water-supply pipe network data collection system, database
It is realized with main control computer three parts, specifically includes the following steps:
(1) start computer, run water supply network hydraulic model, water supply network pressure monitoring point multiple-objection optimization mathematical modulo
Type；
(2) it is loaded into water supply network hydraulic model, water supply network hydraulic model reads the basic data of current water supply network, into
Row water supply network hydraulic analogy process；Based on water supply network basic data, the kinetic model under actual working conditions is established,
For the model of simcity water supply network, the pressure distribution and situation of change of water supply network are assessed；
(3) it is loaded into water supply network pressure monitoring point multiple-objection optimization mathematical model；Water supply network pressure monitoring point multiple target
Optimized mathematical model is managed based on using monitoring point pressure monitoring range and monitoring point overlay node water requirement as objective function
The Optimized model of net hydraulic communication, pipe network node pressure correlation, pipe network node water influence condition as constraint condition；Base
In above-mentioned water supply network hydraulic model, the constraint condition and target letter of water supply network pressure monitoring point multiple-objection optimization arrangement are constructed
Number solves water supply network pressure monitoring point multiple-objection optimization mathematical model using improved multiple target honeybee mating optimization algorithm；
(4) water supply network pressure monitoring point multiple-objection optimization mathematical model is run, a series of water supply network pressure prisons are obtained
Point layout scheme selects suitable optimal case according to their needs.
During step (2) the water supply network hydraulic model, pipe network topological structure is first entered into, node needs substantially
The essential informations such as water, elevation, length of pipe section carry out water supply network waterpower adjustment using Epanet software, obtain water supply network
The data such as practical water requirement and pressure simultaneously understand its distribution situation；
The basic data of step (2) water supply network includes the basic number such as cartographic information and hydrology of water supply network
According to.
Step (3) the water supply network pressure monitoring point multiple-objection optimization mathematical model is using the mating optimization of improved honeybee
Algorithm, process are to randomly select one group of solution as initial population, by calculating the target function value of all initial solutions, by target
Functional value is the smallest to be selected as queen bee, and what it is as queen bee is drone, and queen bee and drone mate after flight course, production
Raw young honeybee carries out cross and variation process, calculates the target function value of all young honeybees, by the maximum young honeybee of target function value with it is above-mentioned
Queen bee is compared, and the small then young honeybee of target function value becomes queen bee of new generation, other young honeybees for not becoming queen bee are then considered as drone,
Queen bee continues to carry out the flight course that mates with drone, constantly follows badly until reaching maximum mating algebra, terminates to run.
The beneficial effects of the present invention are: the present invention due to the technical solution more than using, is realized in MATLAB software
It is middle to solve water supply network pressure monitoring point preferred arrangement mathematical model with improved honeybee mating optimization algorithm, it is this improved
Honeybee mating optimization algorithm gives up speed parameter in parameter setting, and using energy parameter as decision, which drone can be with
The standard of queen mating, and its crossover operation is improved to two-point crossover, it improves basic honeybee mating algorithm and is easy to receive too early
It holds back, the problems such as convergence precision is low, which realizes the innovation of water supply network pressure monitoring point preferred arrangement.
Detailed description of the invention
The operational flow diagram of water supply network pressure monitoring point optimization placement method Fig. 1 of the invention.
Specific embodiment
Water supply network pressure monitoring point optimization placement method of the present invention, by city water-supply pipe network data collection system, data
Library and main control computer composition, for acquiring city water-supply pipe network pressure data, waterpower is transported under simulator water distribution system nominal situation
Market condition, and optimize water supply network pressure monitoring point arrangement.
Main control computer, it is excellent for storing and running water supply network hydraulic model, water supply network pressure monitoring point multiple target
Change model, and the data in operating database at any time, is an operating platform.
The function of main control computer includes the following aspects:
(1) related data for optimizing water supply network pressure monitoring point arrangement, water supply network hydraulic analogy are stored
Model, water supply network pressure monitoring point Model for Multi-Objective Optimization, specifically includes that
1. the base case and data of water supply network: the basic datas such as cartographic information and the hydrology including water supply network；
2. water supply network hydraulic model: being based on above-mentioned water supply network basic data, establish dynamic under actual working conditions
Mechanical model assesses the pressure distribution and situation of change of water supply network for the model of simcity water supply network；
3. water supply network pressure monitoring point multiple-objection optimization mathematical model: being based on above-mentioned water supply network hydraulic model, building
The constraint condition and objective function of water supply network pressure monitoring point multiple-objection optimization arrangement, are mated using improved multiple target honeybee
Optimization algorithm solves water supply network pressure monitoring point multiple-objection optimization mathematical model；
(2) carry out hydraulic analogy to the water supply network under certain operating condition: software reads the given water supply network hydrology, flow
Data, and water supply network hydraulic model is substituted into, realization carries out hydraulic analogy under actual working conditions, assesses the pressure of water supply network
Power distribution and situation of change.
(3) optimize water supply network pressure monitoring point arrangement: after the completion of the simulation of water supply network hydraulic model, software is read
The basic data and hydraulic data for taking current water supply network carry it into water supply network pressure monitoring point multiple-objection optimization mould
Type, using monitoring point pressure monitoring range and monitoring point overlay node water requirement as objective function, hydraulic pipeline connectivity, pipe network
Node pressure correlation, pipe network node water influence condition pass through improved more mesh using Matlab platform as constraint condition
It marks honeybee mating optimization algorithm (HBMO) and solves multiple target pressure monitoring point preferred arrangement mathematical model.
Main control computer is provided with the base case and data, water supply network hydraulic model, feed pipe of water supply network waterpower
Net pressure monitoring point multiple-objection optimization mathematical model, and data that can at any time in operating database, are the operating platforms of system.
The flow chart of water supply network pressure monitoring point optimization placement method is as shown in Figure 1, main flow includes following
Aspect:
(1) start computer, run water supply network hydraulic model, water supply network pressure monitoring point multiple-objection optimization mathematical modulo
Type.(2) are operated into next step；
(2) it is loaded into water supply network hydraulic model, water supply network hydraulic model reads the basic data of current water supply network, into
Row water supply network hydraulic analogy process.It establishes during water supply network hydraulic model, first enters into pipe network topological structure, section
The essential informations such as the basic water requirement of point, elevation, length of pipe section carry out water supply network waterpower adjustment using Epanet software, obtain
The data such as the practical water requirement of water supply network and pressure simultaneously understand its distribution situation.After the completion of simulation, (3) are operated into next step；
(3) it is loaded into water supply network pressure monitoring point multiple-objection optimization mathematical model.Water supply network pressure monitoring point multiple target
Optimized mathematical model is managed based on using monitoring point pressure monitoring range and monitoring point overlay node water requirement as objective function
The Optimized model of net hydraulic communication, pipe network node pressure correlation, pipe network node water influence condition as constraint condition.It should
For water supply network pressure monitoring point multiple-objection optimization mathematical model using improved honeybee mating optimization algorithm, process is random choosing
It takes one group of solution as initial population, by calculating the target function value of all initial solutions, selects work for target function value is the smallest
For queen bee, what it is as queen bee is drone, and queen bee and drone mate after flight course, and generation young honeybee carries out intersection change
Different process calculates the target function value of all young honeybees, the maximum young honeybee of target function value is compared with above-mentioned queen bee, target
The small then young honeybee of functional value becomes queen bee of new generation, other young honeybees for not becoming queen bee are then considered as drone, queen bee continue and drone into
Row mating flight course constantly follows badly until reaching maximum mating algebra, terminates to run.(4) are operated into next step；
(4) water supply network pressure monitoring point multiple-objection optimization mathematical model is run, a series of water supply network pressure prisons are obtained
Point layout scheme selects suitable optimal case according to their needs.
Claims (4)
1. a kind of water supply network pressure monitoring point optimization placement method, which is characterized in that acquire system by city water-supply pipe network data
System, database and the realization of main control computer three parts, specifically includes the following steps:
(1) start computer, run water supply network hydraulic model, water supply network pressure monitoring point multiple-objection optimization mathematical model；
(2) be loaded into water supply network hydraulic model, water supply network hydraulic model reads the basic data of current water supply network, carry out to
Pipe network hydraulic analogy process；Based on water supply network basic data, the kinetic model under actual working conditions is established, is used for
The model of simcity water supply network assesses the pressure distribution and situation of change of water supply network；
(3) it is loaded into water supply network pressure monitoring point multiple-objection optimization mathematical model；Water supply network pressure monitoring point multiple-objection optimization
Mathematical model is based on using monitoring point pressure monitoring range and monitoring point overlay node water requirement as objective function, pipe network water
The Optimized model of power connectivity, pipe network node pressure correlation, pipe network node water influence condition as constraint condition；Based on upper
Water supply network hydraulic model is stated, the constraint condition and objective function that building water supply network pressure monitoring point multiple-objection optimization is arranged,
Water supply network pressure monitoring point multiple-objection optimization mathematical model is solved using improved multiple target honeybee mating optimization algorithm；
(4) water supply network pressure monitoring point multiple-objection optimization mathematical model is run, a series of water supply network pressure monitoring points are obtained
Arrangement selects suitable optimal case according to their needs.
2. water supply network pressure monitoring point optimization placement method according to claim 1, which is characterized in that the step (2)
During water supply network hydraulic model, the basic water requirement of pipe network topological structure, node, elevation, length of pipe section are first entered into
Etc. essential informations, using Epanet software carry out water supply network waterpower adjustment, obtain the practical water requirement of water supply network and pressure etc.
Data simultaneously understand its distribution situation.
3. water supply network pressure monitoring point optimization placement method according to claim 1, which is characterized in that the step (2)
The basic data of water supply network includes the basic datas such as cartographic information and the hydrology of water supply network.
4. water supply network pressure monitoring point optimization placement method according to claim 1, which is characterized in that the step (3)
For water supply network pressure monitoring point multiple-objection optimization mathematical model using improved honeybee mating optimization algorithm, process is random choosing
It takes one group of solution as initial population, by calculating the target function value of all initial solutions, selects work for target function value is the smallest
For queen bee, what it is as queen bee is drone, and queen bee and drone mate after flight course, and generation young honeybee carries out intersection change
Different process calculates the target function value of all young honeybees, the maximum young honeybee of target function value is compared with above-mentioned queen bee, target
The small then young honeybee of functional value becomes queen bee of new generation, other young honeybees for not becoming queen bee are then considered as drone, queen bee continue and drone into
Row mating flight course constantly follows badly until reaching maximum mating algebra, terminates to run.
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Cited By (6)
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| CN109930658A (en) * | 2019-03-27 | 2019-06-25 | 杭州电子科技大学 | A kind of water supply network monitoring point method for arranging based on System Observability |
| CN110110841A (en) * | 2019-06-15 | 2019-08-09 | 郑州轻工业学院 | The method that multiple target honeybee breeding optimization algorithm solves the problems, such as flexible technology planning green manufacturing |
| CN110688776A (en) * | 2019-10-16 | 2020-01-14 | 熊猫智慧水务有限公司 | Pipe burst identification method based on pipe network adjustment |
| CN110939870A (en) * | 2019-12-27 | 2020-03-31 | 天津大学 | Water supply network pressure monitoring point arrangement method for pipe burst monitoring |
| CN112031073A (en) * | 2020-08-31 | 2020-12-04 | 天津大学 | Pressurizing pump station optimal setting method based on water supply pipe network leakage control |
| CN113177283A (en) * | 2021-04-28 | 2021-07-27 | 中国能源建设集团广东省电力设计研究院有限公司 | Intelligent design method, system, equipment and storage medium for instrument measuring point installation |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109930658A (en) * | 2019-03-27 | 2019-06-25 | 杭州电子科技大学 | A kind of water supply network monitoring point method for arranging based on System Observability |
| CN110110841A (en) * | 2019-06-15 | 2019-08-09 | 郑州轻工业学院 | The method that multiple target honeybee breeding optimization algorithm solves the problems, such as flexible technology planning green manufacturing |
| CN110688776A (en) * | 2019-10-16 | 2020-01-14 | 熊猫智慧水务有限公司 | Pipe burst identification method based on pipe network adjustment |
| CN110688776B (en) * | 2019-10-16 | 2023-01-20 | 熊猫智慧水务有限公司 | Pipe burst identification method based on pipe network adjustment |
| CN110939870A (en) * | 2019-12-27 | 2020-03-31 | 天津大学 | Water supply network pressure monitoring point arrangement method for pipe burst monitoring |
| CN110939870B (en) * | 2019-12-27 | 2021-04-27 | 天津大学 | Water supply network pressure monitoring point arrangement method for pipe burst monitoring |
| CN112031073A (en) * | 2020-08-31 | 2020-12-04 | 天津大学 | Pressurizing pump station optimal setting method based on water supply pipe network leakage control |
| CN113177283A (en) * | 2021-04-28 | 2021-07-27 | 中国能源建设集团广东省电力设计研究院有限公司 | Intelligent design method, system, equipment and storage medium for instrument measuring point installation |
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