JP2015094665A5 - - Google Patents
Download PDFInfo
- Publication number
- JP2015094665A5 JP2015094665A5 JP2013234124A JP2013234124A JP2015094665A5 JP 2015094665 A5 JP2015094665 A5 JP 2015094665A5 JP 2013234124 A JP2013234124 A JP 2013234124A JP 2013234124 A JP2013234124 A JP 2013234124A JP 2015094665 A5 JP2015094665 A5 JP 2015094665A5
- Authority
- JP
- Japan
- Prior art keywords
- information
- water leakage
- investigation
- water
- leakage
- 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.)
- Granted
Links
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims 63
- 238000009114 investigational therapy Methods 0.000 claims 38
- 238000005259 measurement Methods 0.000 claims 7
- 230000032683 aging Effects 0.000 claims 2
- 238000009825 accumulation Methods 0.000 claims 1
- 230000000875 corresponding Effects 0.000 claims 1
- 238000011156 evaluation Methods 0.000 claims 1
Claims (10)
前記水道管網に設置された流量計をはじめとする計測装置から水の流量に係る計測情報を収集する計測情報収集部と、
前記エリア内での水使用量情報を記憶する水使用量記憶部と、
前記計測情報と前記水使用量情報とに基づき前記エリア内の水の漏水量を推定する漏水量推定部と、
前記エリアにおける水道管網の延長情報を含む管路情報を蓄積する管路情報記憶部と、
前記エリアにおける漏水調査および管路修繕の実施時期を含む調査・修繕情報を蓄積する調査・修繕情報記憶部と、
前記漏水量の情報と前記管路情報と前記調査・修繕情報とのうち少なくとも一つの情報に基づき前記エリアの漏水量の推移を予測する予測モデル情報を生成する予測モデル学習部と、
前記予測モデル情報に基づき前記エリアの予測漏水量情報を生成する漏水量予測部と、
前記予測漏水量情報に基づき前記複数のエリアにおける漏水調査の実施順序を定める漏水調査計画を立案する調査計画立案部と
を備え、
前記漏水量予測部は、
前記予測漏水量情報として漏水量の期待値と該漏水量の期待値の不確かさとの双方の予測値を生成し、
前記調査計画立案部は、
前記漏水調査計画を前記漏水量の期待値と不確かさとの双方の予測値に基づき計算された漏水コストを用いて立案する
ことを特徴とする漏水調査計画立案装置。 A water leakage investigation plan drafting device for drafting a water leakage investigation plan for a plurality of areas divided into water pipe networks,
A measurement information collection unit that collects measurement information related to the flow rate of water from a measurement device including a flow meter installed in the water pipe network;
A water usage storage unit for storing water usage information in the area;
A leakage amount estimation unit that estimates a leakage amount of water in the area based on the measurement information and the water usage information;
A pipeline information storage unit that accumulates pipeline information including extension information of the water pipe network in the area;
An investigation / repair information storage unit for accumulating investigation / repair information including the timing of water leakage investigation and pipeline repair in the area;
A prediction model learning unit that generates prediction model information for predicting a transition of the amount of water leakage in the area based on at least one of the information on the amount of water leakage, the pipeline information, and the investigation / repair information;
A water leakage amount prediction unit that generates predicted water leakage amount information of the area based on the prediction model information;
A survey plan drafting unit that formulates a leak survey plan that determines the execution order of the leak survey in the plurality of areas based on the predicted leak amount information;
The leakage amount prediction unit
Generating predicted values of both the expected value of the leakage amount and the uncertainty of the expected value of the leakage amount as the predicted leakage amount information;
The investigation planning department
The water leakage investigation plan planning device, wherein the water leakage investigation plan is planned using a water leakage cost calculated on the basis of both the expected value and the uncertainty of the leakage amount.
前記漏水量予測部は、
前記漏水量の期待値の不確かさの予測値として、漏水量の高位値および低位値との双方の予測値を生成し、
前記予測モデル学習部は、
前記予測モデル情報として、前記漏水量の高位値および低位値を予測する予測式と前記予測式の係数を生成する
ことを特徴とする漏水調査計画立案装置。 A water leakage investigation planning apparatus according to claim 1,
The leakage amount prediction unit
As the predicted value of the uncertainty of the expected value of the water leakage amount, both predicted values of the high value and low value of the water leakage amount are generated,
The prediction model learning unit
As the prediction model information, a prediction formula for predicting a high value and a low value of the water leakage amount and a coefficient of the prediction formula are generated.
前記漏水量予測部は、
一つのエリアに適用できる予測モデルが複数ある場合に、
該当する予測モデルのうち、前記漏水量の高位値と漏水量の低位値との差が最も小さい予測漏水量情報を選択して生成する
ことを特徴とする漏水調査計画立案装置。 A water leakage investigation planning apparatus according to claim 2,
The leakage amount prediction unit
If the predictive model that can be applied to one area there are a plurality,
A leakage survey planning apparatus characterized by selecting and generating predicted leakage amount information in which the difference between the high value of the leakage amount and the low value of the leakage amount is the smallest among the corresponding prediction models.
前記予測モデル学習部は、
生成する前記予測モデル情報の各予測モデルが、
特定の一つのエリアに適用できるエリア別予測モデルと、前記管路情報および前記調査・修繕情報に基づいて計算されるエリアの説明変数を代入することにより複数のエリアに適用できる汎用予測モデルと、のいずれか一方であって、
前記汎用予測モデルを定める係数は、先に定めた前記エリア別予測モデルの係数に基づいて学習される
ことを特徴とする漏水調査計画立案装置。 A water leakage investigation planning apparatus according to claim 3,
The prediction model learning unit
Each prediction model of the prediction model information to be generated is
An area-specific prediction model that can be applied to a specific area, and a general-purpose prediction model that can be applied to a plurality of areas by substituting explanatory variables of the area calculated based on the pipe line information and the investigation / repair information; Either
The coefficient for determining the general-purpose prediction model is learned based on the coefficient of the area-specific prediction model previously determined.
前記調査計画立案部は、
立案する漏水調査計画として計画対象期間中に各エリアで漏水調査を実施する期間を定め、
前記調査計画立案部は、計画対象期間の各期間において同時に漏水調査を実施するエリアの総数が、定められた漏水調査チーム数以下となる第1の制約条件と、
一つのエリアで漏水調査を実施する期間が、当該エリアの全域に対して漏水調査を完了するに要する期間連続して確保されるという第2の制約条件と、を満たす漏水調査計画を立案する
ことを特徴とする漏水調査計画立案装置。 A water leakage investigation planning apparatus according to claim 4,
The investigation planning department
Establish a period for conducting water leakage surveys in each area during the planning period,
The survey planning unit has a first restriction condition in which the total number of areas where the water leakage survey is simultaneously performed in each period of the planning target period is equal to or less than a predetermined number of water leakage survey teams;
Develop a water leakage investigation plan that satisfies the second constraint that the period for conducting a water leakage investigation in one area is secured continuously for the period required to complete the water leakage investigation for the entire area. Leakage investigation planning equipment characterized by
前記調査計画立案部は、
前記漏水調査計画は、前記漏水コストと調査コストとの和からなる総コストに関して、該総コストを最小とするよう立案される
ことを特徴とする漏水調査計画立案装置。 The water leakage investigation planning apparatus according to claim 5,
The investigation planning department
The water leakage investigation plan planning device, wherein the water leakage investigation plan is designed to minimize the total cost with respect to the total cost composed of the sum of the water leakage cost and the investigation cost.
前記調査計画立案部は、
評価指標である漏水コストを評価する際に、
各エリアにおける予測漏水量において、高位値および低位値の間での不確実性を表現するパラメータを設定し、
該パラメータと漏水コストとの係りにおいて評価する
ことを特徴とする漏水調査計画立案装置。 A water leakage investigation planning apparatus according to claim 6,
The investigation planning department
When evaluating the leakage cost is an evaluation index,
In the predicted amount of water leakage in each area, set a parameter that represents the uncertainty between the high and low values,
An apparatus for planning a water leakage investigation characterized by evaluating the relationship between the parameter and the water leakage cost.
前記予測モデル学習部は、
前記汎用予測モデルの学習に用いる前記説明変数として、
エリア内の漏水修繕件数と、エリア内の通報漏水修繕件数と、エリア内の給水管本数と、エリア内で最も古い管の敷設年数と、経年管の本数と、経年管の総延長とのうち少なくとも1つを用いる
ことを特徴とする漏水調査計画立案装置。 The water leakage investigation planning apparatus according to claim 7,
The prediction model learning unit
As the explanatory variable used for learning the general-purpose prediction model,
Of the number of leak repairs in the area, the number of reported leak repairs in the area, the number of water supply pipes in the area, the age of the oldest pipes in the area, the number of aging pipes, and the total length of aging pipes A water leakage survey planning device characterized by using at least one.
前記漏水調査計画立案装置へ計測情報を送信する流量計をはじめとする計測装置と、
漏水調査で発見された漏水の位置を含む調査・修繕情報を前記漏水調査計画立案装置に送信する調査端末と
を有することを特徴とする漏水調査計画立案システム。 A water leakage investigation planning apparatus according to claim 1;
Measuring devices including flowmeters that transmit measurement information to the water leakage investigation planning device,
And a survey terminal for transmitting survey / repair information including the location of the leak found in the leak survey to the leak survey planning device.
水の流量に係る計測情報を収集する収集ステップ、
前記エリア内での水使用量情報を記憶する記憶ステップと、
前記計測情報と前記水使用量情報とに基づき前記エリア内の水の漏水量を推定する推定ステップと、
前記エリアにおける水道管網の延長情報を含む管路情報を蓄積する管路情報蓄積ステップと、
前記エリアにおける漏水調査および管路修繕の実施時期を含む調査・修繕情報を蓄積する調査・修理情報蓄積ステップと、
前記漏水量の情報と前記管路情報と前記調査・修繕情報とのうち少なくとも一つの情報に基づき前記エリアの漏水量の推移を予測する予測モデル情報を生成する予測モデル情報生成ステップと、
前記予測モデル情報に基づき前記エリアの予測漏水量情報を生成する予測漏水量情報生成ステップと、
前記予測漏水量情報に基づき前記複数のエリアにおける漏水調査の実施順序を定める漏水調査計画を立案する立案ステップと
を備え、
前記予測漏水量情報生成ステップは、
前記予測漏水量情報として漏水量の期待値と該漏水量の期待値の不確かさとの双方の予測値を生成し、
前記立案ステップは、
前記漏水調査計画を前記漏水量の期待値と不確かさとの双方の予測値に基づき計算された漏水コストを用いて立案する
ことを特徴とする漏水調査計画立案方法。 A water leakage investigation plan drafting method for drafting a water leakage investigation plan for a plurality of areas divided into water pipe networks,
A collection step for collecting measurement information relating to the flow rate of water;
A storage step for storing water usage information in the area;
An estimation step of estimating a water leakage amount in the area based on the measurement information and the water usage information;
A pipeline information storage step for storing pipeline information including extension information of the water pipe network in the area;
Investigation / repair information accumulation step for accumulating investigation / repair information including the time for conducting water leakage investigation and pipeline repair in the area;
A predictive model information generating step of generating a prediction model information for predicting a transition of leakage amount of the area based on at least one information among said leakage amount of information and the conduit information the survey and repair information,
A predicted water leak information generation step for generating predicted water leak information of the area based on the prediction model information;
And a planning step for formulating a water leakage investigation plan that determines an execution order of water leakage investigations in the plurality of areas based on the predicted water leakage information,
The predicted water leakage information generation step includes
Generating predicted values of both the expected value of the leakage amount and the uncertainty of the expected value of the leakage amount as the predicted leakage amount information;
The planning step includes
The water leakage investigation plan planning method characterized in that the water leakage investigation plan is drafted using a water leakage cost calculated based on both predicted values and uncertainties of the water leakage amount.
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2013234124A JP6273125B2 (en) | 2013-11-12 | 2013-11-12 | Leakage investigation planning device, leakage investigation planning system, and leakage investigation planning method |
IN3016DE2014 IN2014DE03016A (en) | 2013-11-12 | 2014-10-22 | |
CN201410645901.6A CN104636817A (en) | 2013-11-12 | 2014-11-12 | Water leakage survey plan making device, system and water leakage survey plan making method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2013234124A JP6273125B2 (en) | 2013-11-12 | 2013-11-12 | Leakage investigation planning device, leakage investigation planning system, and leakage investigation planning method |
Publications (3)
Publication Number | Publication Date |
---|---|
JP2015094665A JP2015094665A (en) | 2015-05-18 |
JP2015094665A5 true JP2015094665A5 (en) | 2016-09-23 |
JP6273125B2 JP6273125B2 (en) | 2018-01-31 |
Family
ID=53197157
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2013234124A Active JP6273125B2 (en) | 2013-11-12 | 2013-11-12 | Leakage investigation planning device, leakage investigation planning system, and leakage investigation planning method |
Country Status (3)
Country | Link |
---|---|
JP (1) | JP6273125B2 (en) |
CN (1) | CN104636817A (en) |
IN (1) | IN2014DE03016A (en) |
Families Citing this family (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP6442374B2 (en) * | 2015-07-10 | 2018-12-19 | 株式会社日立製作所 | Water leakage countermeasure support device |
JP6625851B2 (en) * | 2015-09-25 | 2019-12-25 | 株式会社東芝 | Water leakage diagnosis device, water leakage diagnosis method, and computer program |
CN105716803B (en) * | 2016-01-29 | 2018-04-10 | 深圳市捷先数码科技股份有限公司 | A kind of comprehensive analysis device and its method of the monitoring of water supply network leakage loss |
US10795382B2 (en) * | 2016-08-02 | 2020-10-06 | Sensus USA, Inc. | Method and apparatus for model-based control of a water distribution system |
WO2018043417A1 (en) * | 2016-08-30 | 2018-03-08 | コニカミノルタ株式会社 | Piping evaluation device, piping evaluation method, and piping evaluation program |
JP6165952B1 (en) * | 2016-10-11 | 2017-07-19 | フジ地中情報株式会社 | Water pipe update management system |
WO2018164102A1 (en) | 2017-03-10 | 2018-09-13 | 日本電気株式会社 | Diagnosis cost output device, diagnosis cost output method, and computer-readable recording medium |
WO2019150561A1 (en) * | 2018-02-02 | 2019-08-08 | 日本電気株式会社 | Optimization device, optimization method, and optimization program |
US20190301963A1 (en) * | 2018-03-28 | 2019-10-03 | Fracta | Processing data for predicting pipe failure |
JP6954242B2 (en) * | 2018-07-25 | 2021-10-27 | コニカミノルタ株式会社 | How to investigate the installation location of the stationary gas detector |
WO2020077005A1 (en) * | 2018-10-09 | 2020-04-16 | Fracta | Automated asset mangement and planning |
US11893546B2 (en) | 2018-10-09 | 2024-02-06 | Fracta | Automated asset management and planning |
JP7376251B2 (en) * | 2019-06-07 | 2023-11-08 | 株式会社日立製作所 | Conduit network management system and conduit network management method |
KR102435919B1 (en) * | 2021-11-02 | 2022-08-24 | 주식회사 토이코스 | A in-house leakage detection and type classification device using multidimensional data, a method and a program thereof |
CN114135794B (en) * | 2021-11-22 | 2023-11-24 | 杭州数梦工场科技有限公司 | Method and device for detecting leakage of water network |
JP7396602B1 (en) * | 2023-04-28 | 2023-12-12 | フジ地中情報株式会社 | AI pipe deterioration prediction system, AI pipe deterioration prediction method, and AI pipe deterioration prediction program |
JP7466969B1 (en) | 2023-09-27 | 2024-04-15 | フジ地中情報株式会社 | AI earthquake damage prediction system, AI earthquake damage prediction method, and AI earthquake damage prediction program |
Family Cites Families (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS5468274A (en) * | 1977-11-11 | 1979-06-01 | Hitachi Ltd | Tap water consumption estimating apparatus at minimum flow rate time |
JPS56162029A (en) * | 1980-05-19 | 1981-12-12 | Hitachi Ltd | Water leakage detecting method |
JP2009020024A (en) * | 2007-07-12 | 2009-01-29 | Nippon Water Solution:Kk | Water leak state monitoring device and method |
JP4612696B2 (en) * | 2008-02-13 | 2011-01-12 | 株式会社東芝 | Water leakage diagnosis device and water leakage diagnosis method for water distribution pipe |
JP5329871B2 (en) * | 2008-08-25 | 2013-10-30 | 株式会社東芝 | Leakage node estimation device |
JP5377174B2 (en) * | 2009-09-07 | 2013-12-25 | 株式会社東芝 | Leakage investigation target route extraction system |
US8930150B2 (en) * | 2012-02-01 | 2015-01-06 | International Business Machines Corporation | Leak detection in a fluid distribution network |
JP5756767B2 (en) * | 2012-02-29 | 2015-07-29 | 株式会社日立製作所 | Water leak detection device |
CN102679166B (en) * | 2012-05-21 | 2015-08-05 | 宁波钢铁有限公司 | The method that the quick leakage-checking spacing of buried water supply pipe net is quantitative |
-
2013
- 2013-11-12 JP JP2013234124A patent/JP6273125B2/en active Active
-
2014
- 2014-10-22 IN IN3016DE2014 patent/IN2014DE03016A/en unknown
- 2014-11-12 CN CN201410645901.6A patent/CN104636817A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
JP2015094665A5 (en) | ||
JP6273125B2 (en) | Leakage investigation planning device, leakage investigation planning system, and leakage investigation planning method | |
EP3568681B1 (en) | Method and apparatus for model-based leak detection of a pipe network | |
CN109791637B (en) | Method and apparatus for model-based control of water distribution systems | |
Goulet et al. | Model falsification diagnosis and sensor placement for leak detection in pressurized pipe networks | |
JP6318053B2 (en) | Leakage distribution estimation device | |
JP5756767B2 (en) | Water leak detection device | |
Meseguer et al. | A decision support system for on-line leakage localization | |
US11698322B2 (en) | System for estimating water flows at the boundaries of a sub-network of a water distribution network | |
JP6625851B2 (en) | Water leakage diagnosis device, water leakage diagnosis method, and computer program | |
WO2014115399A1 (en) | Water leak estimating device, system, and method | |
KR101483241B1 (en) | Method of diagnosing pump performance using thermodynamic flowmeters | |
KR20160077740A (en) | Building Energy Usage Prediction System and Method by Actual Energy Consumption Data | |
Adachi et al. | Estimating area leakage in water networks based on hydraulic model and asset information | |
WO2019007497A1 (en) | Non-intrusive vibrational method and apparatus of a centralized system for water distribution network pipelines' leak detection and monitoring | |
KR20130108911A (en) | Method for setting a site of sensor in looped water distribution pipe network | |
JP6279243B2 (en) | Flow direction estimation system and flow direction estimation method | |
WO2023139927A1 (en) | Plant instrumentation device and equipment deterioration monitoring system and plant maintenance optimization system provided with same | |
JAURENA BELTRAMI | On the interconnectivity of urban water system models Possibilities, limitations, and feasibilities | |
Estapé | DEMAND MODELLING AND CALIBRATION FOR HYDRAULIC NETWORK MODELS | |
Frei et al. | Towards data-driven building retrofit | |
Kapelan | Modelling in water distribution systems |