CN102072409A - Pipe network leakage monitoring method combining leakage probability calculation and recorder monitoring - Google Patents
Pipe network leakage monitoring method combining leakage probability calculation and recorder monitoring Download PDFInfo
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Abstract
The invention belongs to the field of pipe network leakage monitoring and particularly relates to a pipe network leakage monitoring method combining a leakage probability calculation process and an acoustical signal-based leakage recorder monitoring process. In the invention, a genetic programming process is used to establish a functional relationship between independent variables, such as pipe age, pipe diameter and pipe length, and leakage times, and a pipe network geographic information system (GIS) platform is combined to determine key areas to be monitored; furthermore, the leakage recorder monitoring process is used to clear leakage and position leakage points. The method can greatly improve leakage monitoring efficiency, reduce labor intensity of manual leakage monitoring and improve operation management level of a pipe network. The method is not only suitable for leakage monitoring of urban water supply pipe network, but also the leakage monitoring pipes such as recycled water pipe networks, heat distribution pipe and oil and gas pipes.
Description
Technical field
The present invention relates to a kind of pipe network leakage monitoring method, particularly pointer leakage monitoring method to public supply mains.
Background technique
Public supply mains are city " lifelines ", and its safe and stable operation is to ensure the normally moving prerequisite of changeing in city.Yet in China and even the world wide, the public supply mains leakage is very serious, and therefore, leakage monitoring method presses for efficiently.
At present, the leakage detection method that is most widely used is the audition leak detecting, and in recent years, some cities are used for a kind of leakage recorder of monitoring the pipe leak noise signal leakage loss monitoring of water supply network both at home and abroad.This recorder is made up of many data loggers and a controller, recorder is laid on the pipeline, can catch and write down the noise signal that pipeline produces because of leaking, by utilizing computer software that these signals are analyzed, can judge the generation of whether leaking in the recorder region.
But this monitoring method does not have specific aim, time-consuming consumption power, and efficient is lower.Therefore, need set up rational miss probability computation model, formulate rational monitoring scheme, improve leak detection efficient with the aid decision personnel.
The key problem of calculating pipe network miss probability space distribution is to select suitable model for use, and formula clear and definite, that have physical significance, multivariable, extensive approval calculates the miss probability of pipeline but conventional model can not provide.Conventional model has two big classes: based on the physical model of pipeline aging mechanism, based on the statistical model of historical missing data.Wherein, need carry out long-term follow to particular conduit based on the physical model of aging mechanism, data obtain the comparison difficulty, cost is higher; Statistical model based on historical missing data need screen the leakage factor of influence, need determine the model formation form that adopts, and model accuracy is not too high.Utilize the space distribution rule of modeling pipe network miss probability, and, can improve leakage loss monitoring efficient greatly, reduce the working strength of artificial leak detection in conjunction with public supply mains being monitored based on the audition leak detecting of leakage recorder.
Summary of the invention
The present invention is directed to the inefficient problem of water supply network leakage loss monitoring, and miss probability distribution Traditional calculating methods cost height, leakage factor of influence and model formation form are selected problems such as difficulty, a kind of miss probability computational methods are provided, utilize genetic programming method automatic mining to go out the rule that historical missing data is followed, estimate the space distribution of pipe leak probability, and, effectively improve leakage loss monitoring efficient in conjunction with leakage recorder monitoring method based on sound signal.
Know-why of the present invention is: will manage 3 key factors that the pipe leak number of times had significant effects such as age, caliber, pipe range as independent variable, to miss number of times as dependent variable, and utilize genetic programming to set up function relation between dependent variable and the independent variable.In pipe network geographic information system (GIS) platform, use the simulation leakage number of times that the gained function expression calculates all pipeline sections, pipeline section simulation leakage number of times divided by this pipeline section pipe range, can be obtained simulation leakage density, and the size of this value promptly reflects the size of pipeline section miss probability.Further, according to the resulting miss probability spatial distribution result of modeling, utilize the leakage recorder that the emphasis monitoring is carried out in the high zone of miss probability, thereby significantly improve leakage loss monitoring efficient.
Concrete technological scheme of the present invention is:
1, for the water supply network of target area to be monitored, utilize GIS statistics pipe network physical property data, collect the missing data in the time backtracking of carrying out leakage loss monitoring 10～30 years.Missing data comprises year number (promptly managing age), leakage pipeline section diameter (being caliber), leakage length of pipe section (being pipe range) and the leakage frequency between the piping laying time to the time of carrying out leakage loss monitoring of missing pipeline section.In order to obtain statistical significance, all pipeline section data are divided into groups according to 2 factors of caliber and pipe age, be about to have identical caliber and be divided into one group with the pipeline section of managing age.Then, the pipe range sum that the pipe range addition of pipeline section obtained dividing into groups in each group obtains grouping with the leakage frequency addition of pipeline section and misses the frequency sum.
2, with caliber, manage age, grouping pipe range sum is as independent variable, to divide into groups leakage frequency sum as dependent variable, it is as shown in table 1 according to the genetic programming principle its parameter to be set, utilize PC Tools exploitation genetic programming model, model will utilize operator and the independent variable of parameter in being provided with to generate representation at random, and select representation (variance between calculated value and the dependent variable and more little easy more selected) to intersect and 2 genetic manipulations that make a variation according to the calculated value of representation and the degree of closeness between the dependent variable, after program evolves to certain algebraically, can obtain to describe the function expression that concerns between independent variable and the dependent variable better.
3, utilize the GIS platform of target area to be monitored water supply network, in the pipe network attribute list, add " the leakage number of times analogue value " field, according to the caliber of each pipeline section, pipe age, pipe range information, the functional relation that utilizes previous step to obtain calculates the simulation leakage number of times of each pipeline section, again with the length of its result divided by this pipeline section, then obtain the prediction leakage number of times on the unit length, that is the leakage density of pipeline section, it is inserted the pipe network attribute list as new field.
4, all pipeline sections are carried out descending ordering according to " leakage density " field, then to all pipeline sections according to this in proper order, utilize the leakage recorder to carry out leakage loss monitoring and leakage points location, concrete grammar is as follows:
The leakage recorder is laid principle: for diameter is the pipeline of 75mm～200mm, and the leakage recorder is laid distance between 150m～200m; For diameter is the pipeline of 200mm～400mm, and the leakage recorder is laid distance between 100m～150m; For diameter is pipeline more than the 400mm, and the leakage recorder is laid distance between 60m～100m.Definite principle that leakage recorder cloth is set up an office is: preferentially be chosen on the pipeline auxiliary construction and lay, auxiliary construction refers to inspection shaft, fire hydrant, exhaust valve, valve, gate etc.
Afterwards, treat monitoring objective regional water supply pipe network and carry out the missed signal collection.The 2nd day to the 6th day any given day after the leakage recorder is laid, carry the signal collection main frame with less than the speed of 30km/h near the process recorder installation position, wherein the signal collection main frame with miss between the recorder apart from 20m; The signal of leakage recorder record determines whether to exist leakage after being received by main frame.
5, collect the missed signal of leakage recorder, prompt for the zone of " leakage points " and " suspicious leakage points ", send the workman to go to the pipeline section that takes place to miss manually to listen to omit in printing and look into for missed signal; Prompt for the zone of " normal point " for missed signal, needn't manually investigate.
Table 1 genetic programming parameter is provided with
| Independent variable | Caliber, pipe age, grouping pipe range sum |
| Dependent variable | Grouping leakage frequency sum |
| Function | Add, subtract, multiplication and division, ask absolute value, power, index, logarithm |
| The fitness evaluation standard | Variance between the analogue value and the actual value and size, variance and little person's fitness height |
| The population size | Decide according to the data volume size, recommend 4000～6000 |
| Evolutionary generation | Decide according to the data volume size, recommend 100～200 |
| Crossover probability | Recommend 0.4～0.5 |
| The variation probability | Recommend 0.001～0.003 |
Compare with existing public supply mains leakage monitoring method, the present invention has following advantage:
1, only need utilize the historical data of pipe network, and not need particular conduit is carried out tracking test, can finish the exploitation of pipe network miss probability computation model.Therefore, the construction cycle of pipe network miss probability computation model is shorter, and required cost is lower.
2, the algorithm that adopts genetic programming to set up as formula, functional relation structure between the number of unqualified independent variable and independent variable and the dependent variable, the result that model obtains at last is that genetic programming comes out according to the fine or not automatic screening of analog result fully, so just than adopting fixing equation regression model that higher simulation precision is arranged.
3, utilize pipe network miss probability spatial distribution result, can effectively avoid missing merely the blindness of recorder monitoring method, improve leakage loss monitoring efficient.
Embodiment
For further disclosing technological scheme of the present invention, be described in detail below in conjunction with embodiment.
Present embodiment is certain public supply mains, comprises hundreds thousand of more than of pipeline sections, and all pipeline sections are divided into groups according to caliber and pipe age, obtains 500 groups of data, and calculates pipe range sum and 19 years (1987～2005) interior leakage number of times summation in the grouping.Only list 30 groups of data signals at this as space is limited,, as shown in table 2.Set the parameter of genetic programming then according to table 1, operation genetic programming program obtains optimum analog result and is
Wherein B is simulation leakage number of times, and A is for managing age, and L is a pipe range, and D is a caliber.Partial simulation of the present invention the results are shown in the table 2 (the 5th row).
Table 2 pipeline association attributes, leakage number of times and the leakage number of times analogue value
| Caliber/mm | Pipe age/yr | Pipe range and/km | The leakage number of times | The leakage number of times analogue value |
| 75? | 30? | 4.79781? | 2? | 3.67894? |
| 75? | 9? | 1.81055? | 2? | 1.02858? |
| 75? | 14? | 8.05351? | 1? | 4.21558? |
| 75? | 20? | 9.65272? | 4? | 5.81227? |
| 75? | 40? | 6.56455? | 3? | 3.62497? |
| 75? | 1? | 1.81732? | 0? | 0.137627? |
| 75? | 38? | 50.1478? | 25? | 26.5122? |
| 100? | 23? | 16.9644? | 4? | 6.79194? |
| 100? | 51? | 6.32631? | 0? | 0.600464? |
| 100? | 19? | 18.3116? | 9? | 6.47531? |
| 100? | 10? | 41.7153? | 8? | 6.80112? |
| 100? | 24? | 18.4509? | 6? | 7.33709? |
| 100? | 1? | 65.0794? | 1? | 1.00904? |
| 100? | 4? | 27.6847? | 2? | 2.28469? |
| 100? | 22? | 20.8835? | 7? | 7.67958? |
| 150? | 19? | 8.7843? | 2? | 2.66363? |
| 150? | 15? | 18.379? | 2? | 3.71046? |
| 150? | 33? | 1.2322? | 0? | 0.528977? |
| 150? | 36? | 1.9197? | 0? | 0.701808? |
| 150? | 39? | 2.92796? | 0? | 0.878235? |
| 150? | 27? | 5.54141? | 1? | 2.1023? |
| 150? | 42? | 2.43818? | 0? | 0.567053? |
| 200? | 12? | 14.6693? | 0? | 2.05726? |
| 200? | 24? | 3.1706? | 1? | 1.02063? |
| 200? | 40? | 3.48593? | 0? | 0.729373? |
| 200? | 32? | 1.54122? | 0? | 0.502536? |
| 200? | 20? | 8.70315? | 0? | 2.03305? |
| 400? | 45? | 8.09224? | 0? | 0.629765? |
| 400? | 17? | 23.6416? | 1? | 1.78402? |
| 500? | 26? | 3.39706? | 0? | 0.431858? |
Then,, in the pipe network attribute list, add " the leakage number of times analogue value " field based on these public supply mains GIS platform, and utilize and go up the formula that the step obtains
Calculate the simulation leakage number of times B of all pipeline sections, and obtain missing density divided by length of pipe section L, and according to missing density value to the descending ordering of all pipeline sections.Fig. 1 is the miss probability spatial distribution map of the embodiment of the invention, and wherein highlighted demonstration is that leakage density comes preceding 20% pipeline.At last, can utilize the leakage recorder at first to miss investigation at this pipeline section of 20%.
Claims (6)
1. pipe network leakage monitoring method is characterized in that the miss probability computational methods are combined with leakage recorder monitoring method based on sound signal and is applied to the pipe network leakage loss monitoring.
2. miss probability computational methods according to claim 1, it is characterized in that 3 factors such as pipe age, caliber, pipe ranges as independent variable, to miss number of times as dependent variable, utilize the genetic programming method to set up function relation between dependent variable and the independent variable, and utilize pipe network geographic information system (GIS) platform to calculate simulation leakage density and space distribution rule thereof, and the high emphasis monitored area of definite miss probability.
3. genetic programming method according to claim 2, it is characterized in that the independent variable collection be set to [caliber, the pipe age, the grouping pipe range and], the dependent variable collection is set to [grouping leakage number of times and], and the functional operation collection is set to [add, subtract, multiplication and division, ask absolute value, power, index, logarithm].
4. genetic programming method according to claim 2 is characterized in that individual superior and inferior evaluating standard is variance and the size between the analogue value and the actual value, and variance and more little then individuality are excellent more, otherwise then poor more; The population size is set to 4000～6000, and evolutionary generation is made as 100～200, and interaction coefficent is made as 0.5, and the coefficient of variation is made as 0.001.
5. the leakage recorder monitoring method based on sound signal according to claim 1 is characterized in that with the pipe leak sound signal serve as according to carrying out leakage loss monitoring and leakage points location.The leakage recorder is laid principle: for diameter is the pipeline of 75mm～200mm, and the leakage recorder is laid distance between 150m～200m; For diameter is the pipeline of 200mm～400mm, and the leakage recorder is laid distance between 100m～150m; For diameter is pipeline more than the 400mm, and the leakage recorder is laid distance between 60m～100m.Definite principle that leakage recorder cloth is set up an office is: preferentially be chosen on the pipeline auxiliary construction and lay, auxiliary construction refers to inspection shaft, fire hydrant, exhaust valve, valve, gate etc.
6. pipe network leakage monitoring method according to claim 1 is characterized in that utilizing the leakage recorder that the high emphasis monitored area of miss probability is monitored.The 2nd day to the 6th day any given day after the leakage recorder is laid, carry the signal collection main frame with less than the speed of 30km/h near the process recorder installation position, wherein the signal collection main frame with miss between the recorder apart from 20m; The signal of leakage recorder record determines whether to exist leakage after being received by main frame.Missed signal is prompted for the zone of " leakage points " and " suspicious leakage points ", send the workman to go to the pipeline section that leakage takes place manually to listen to omit in printing and look into; Missed signal is prompted for the zone of " normal point ", needn't manually investigate.
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Cited By (10)
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| CN104421620A (en) * | 2013-08-22 | 2015-03-18 | 乐金信世股份有限公司 | Leakage signal analysis method |
| CN104697908A (en) * | 2015-03-12 | 2015-06-10 | 国家海洋局天津海水淡化与综合利用研究所 | Method for monitoring drifting salt deposition of seawater cooling tower |
| CN104866899A (en) * | 2015-06-17 | 2015-08-26 | 山东省环境保护科学研究设计院 | Leakage detection method based on hydraulic model calibration of urban water supply network |
| CN105605429A (en) * | 2015-12-29 | 2016-05-25 | 安徽海兴泰瑞智能科技有限公司 | Method for managing urban water supply pipes |
| CN106869247A (en) * | 2017-02-16 | 2017-06-20 | 中国科学院生态环境研究中心 | It is a kind of to improve the method and system that pipe network misses control efficiency |
| CN106874575A (en) * | 2017-01-19 | 2017-06-20 | 北京工业大学 | A kind of pipe network based on EPR evolution polynomial regressions misses the method for building up of forecast model |
| CN109002590A (en) * | 2018-06-26 | 2018-12-14 | 清华大学 | A kind of method of determining leak source growth function |
| CN109737308A (en) * | 2018-12-26 | 2019-05-10 | 成都熊谷油气科技有限公司 | Analysis method is monitored based on LBS and the oil-gas pipeline drilling hole of oil stolen of big data |
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| US11494853B2 (en) * | 2019-04-03 | 2022-11-08 | Tongji University | Method for acquiring water leakage amount of leakage area in water distribution system |
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| CN109737308A (en) * | 2018-12-26 | 2019-05-10 | 成都熊谷油气科技有限公司 | Analysis method is monitored based on LBS and the oil-gas pipeline drilling hole of oil stolen of big data |
| US11494853B2 (en) * | 2019-04-03 | 2022-11-08 | Tongji University | Method for acquiring water leakage amount of leakage area in water distribution system |
| CN110984302A (en) * | 2019-12-11 | 2020-04-10 | 浙江嘉科信息科技有限公司 | Water pipe network sensor deployment positioning system and positioning method |
| CN110984302B (en) * | 2019-12-11 | 2020-11-03 | 浙江嘉科信息科技有限公司 | Water pipe network sensor deployment positioning system and positioning method |
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