CN102865459A - Heat supply pipe network leakage positioning system and heat supply pipe network leakage positioning method - Google Patents

Heat supply pipe network leakage positioning system and heat supply pipe network leakage positioning method Download PDF

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Publication number
CN102865459A
CN102865459A CN2012103620488A CN201210362048A CN102865459A CN 102865459 A CN102865459 A CN 102865459A CN 2012103620488 A CN2012103620488 A CN 2012103620488A CN 201210362048 A CN201210362048 A CN 201210362048A CN 102865459 A CN102865459 A CN 102865459A
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China
Prior art keywords
heat exchange
exchange station
pressure
leakage
heating network
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CN2012103620488A
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Chinese (zh)
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王松岭
杨先亮
李彤
吴正人
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North China Electric Power University
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North China Electric Power University
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Abstract

The invention belongs to the field of monitoring heat supply pipe network faults, and particularly relates to a heat supply pipe network leakage positioning system and a heat supply pipe network leakage positioning method. The system comprises a control center and a heat exchange station terminal, wherein the control center is composed of a computer, a multi-channel driving receiver and a piece of data transmission equipment; the heat exchange station terminal is composed of a piece of heat exchange station terminal data transmission equipment, a heat exchange station terminal microprocessor, a heat exchange station pressure sensor and a heat exchange station flow sensor; calculation programs of a heat supply pipe network are arranged inside a memory of the computer, so that data fed back by the heat exchange station terminal are stored and processed; once the heat supply pipe network has leakage, the pipe section at which the leakage point is located can be identified by obtaining the hydraulic power working condition of the system having the leakage by calculating the data of the change on the pressure and the flow at the entrance of a heat exchange station through the programs, wherein the data are fed back by monitoring points at the tail end of the heat exchange station; and furthermore the specific position of the leakage can be confirmed through the auxiliary monitoring of an infrared thermometer.

Description

A kind of heating network leakage positioning system and localization method
Technical field
The invention belongs to the monitoring field of heat-supply network failure, particularly a kind of leakage positioning system of heating network and localization method.
Background technique
Along with the Chinese society expanding economy, North City was changed to central heat supply rapidly by former district heating at present, hot user's quantity constantly increases, and the area coverage of urban heating network is increasing, and corresponding accident rate and the economic loss of bringing also increase thereupon.Therefore, we are more and more higher to the security requirement of heating network itself, and are also more urgent to the demand of the accident leakage detection system of heating network.The method that the at present domestic most of use of large-scale heating network outdoor direct burial lays, the most SCADA systems that adopt of monitoring are to realize the various functions such as data capture, equipment control, measurement, parameter adjusting and various types of signal warning.But owing to lacking the method for effectively leaking the pipeline section location, when running into the leakage accident of burst, and in the situation of accident leakage amount less than the maximum rate of water make-up of system, be difficult to determine to leak pipeline section by inspection method.
Summary of the invention
The present invention determines accurately that rapidly the position of leaking occurs heating network, has proposed a kind of leakage positioning system of heating network.
The technical solution used in the present invention is:
This system is comprised of boiler room control centre, several heat exchange station control system and infrared thermometer;
Described boiler room control centre drives receiver by the computer that links to each other in turn, data transmission set and multichannel and forms;
Described heat exchange station control system is by heat exchange station terminal data transmission equipment, and the heat exchange station terminal microprocessor that is connected with heat exchange station terminal data transmission equipment respectively, heat exchange station pressure transducer and heat exchange station flow transducer form;
Described each heat exchange station control system drives receiver with data line with the multichannel of boiler room control centre by heat exchange station terminal data transmission equipment and is connected.
Each assembly that described boiler room control centre is connected with the heat exchange station control system is connected with UPS battery respectively.
The present invention also provides a kind of heating network leakage locating method based on described system, has following steps:
A. by decomposing, merge, omitting, actual heating network is simplified, be abstracted into desirable computation model;
B. utilize design load and the history data of this heating network, calculate the hydraulic regime of this heating network when normal operation; Afterwards, adopt the mixed self-adapting genetic algorithm, system's hydraulic regime that simplification calculates is revised, thereby the calculated value that makes program is more near actual measured value;
Explanation about the mixed self-adapting genetic algorithm: for traditional genetic algorithm, mainly the change along with fitness changes self-adapted genetic algorithm with the variation probability by crossover probability, thereby when each fitness of population is tending towards locally optimal solution, increase crossover probability and variation probability, when each fitness of population relatively disperses, reduce crossover probability and variation probability.Mixed mode search on the basis of self-adapted genetic algorithm, pattern search method is a kind of direct method that solves optimization problem, the derivative that does not need objective function when calculating is then put last the solution as this search when search proceeds to end condition.When mixing, behind the stopping of genetic algorithm, with its starting point as function, and then find the minimum point of objective function;
C. utilize the active user data that record, calculate the real-time dynamic water-pressure figure that generates this heating network under the nominal situation, and the tendency chart of heat exchange station inlet pressure and changes in flow rate;
D. the flex point of pressure gradient occurs when pressure diagram, the Changing Pattern under the operating mode appears leaking in the user's who records simultaneously pressure and flow, and the small pump rate of water make-up can be judged leakage failure to occur when increasing suddenly;
E. according to the data after leaking, adopt equally genetic algorithm that the heating network model after leaking is revised, calculate the pressure of each node of heating network after the leakage and the flow of each pipeline section;
F. after leakage point occurring in the pipe network, for pressure diagram, pressure diagram pressure gradient steepening before the leakage point, pressure diagram pressure gradient behind the leakage point flattens slow, and obvious flex point appears in pressure diagram, locates for the user, user's flow increases before the leakage point, customer flow behind the leakage point reduces, and the pressure at user entry place changes appearance with water pressure in main pipe figure pressure: the non-geometric ratio imbalance of user entry pressure before the leakage point, the trend of user entry pressure geometric ratio imbalance behind the leakage point.By the situation of change of pressure diagram and in conjunction with the variation tendency of leaking rear each user's pressure and flow, judge the residing pipeline section of leakage point;
G. according to the data of leaking pipeline section front and back node, obtain the approximate location of leakage point on this leakage pipeline section;
H. at the known leak pipeline section with roughly behind the leak position, near leakage point, utilizing infrared thermometer to measure the surface temperature highest point, both has been the leakage point of heating network.
Beneficial effect of the present invention is:
Data capture by each heat exchange station control system terminal, after turning back to control centre, pass through computer program, just can draw real-time system's hydraulic regime, the data that each group is returned, its corresponding system pressure diagram of formation that can be corresponding, and each heat exchange station flow and pressure and upper one group of variation tendency of comparing.As long as the variation tendency when monitoring these data appearance leakage operating modes is just can realize leaking the location of pipeline section.
Description of drawings
Fig. 1 is that a kind of heating network of the present invention leaks the work schematic diagram of location;
Fig. 2 is improved genetic algorithms method flow chart of the present invention.
Fig. 3 is the flow chart of a kind of heating network leakage locating method of the present invention.
Number in the figure:
1-boiler room control centre, 2-computer, 3-data transmission set, the 4-multichannel drives receiver, 5-heat exchange station control system, 6-heat exchange station terminal data transmission equipment, 7-heat exchange station terminal microprocessor, 8-heat exchange station pressure transducer, 9-heat exchange station flow transducer.
Embodiment
The invention provides a kind of leakage positioning system and localization method of heating network, the utility model is described in further detail below in conjunction with the drawings and specific embodiments.
As shown in Figure 1, this system is comprised of boiler room control centre 1, several heat exchange station control system 5 and infrared thermometer.
Boiler room control centre 1 drives receiver 4 by the computer 2 that links to each other in turn, data transmission set 3 and multichannel and forms; Heat exchange station control system 5 is by heat exchange station terminal data transmission equipment 6, and the heat exchange station terminal microprocessor 7 that is connected with heat exchange station terminal data transmission equipment 6 respectively, heat exchange station pressure transducer 8 and heat exchange station flow transducer 9 form; Each heat exchange station control system 5 drives receiver 4 with data line with the multichannel of boiler room control centre 1 by heat exchange station terminal data transmission equipment 6 and is connected.
The function of each assembly is as follows:
Computer 2 is provided with central processing unit (CPU) and storage in it, be used for collecting in real time pressure and the data on flows that passes over from each heat exchange station, and the image data that the heat exchanging station is passed back puts in order and analyze, as the input of primary data;
Multichannel drives receiver 4, is used for reception, conversion and the transmission of pressure and flux signal;
Data transmission set 3 is used for the mutual conversion between analogue signal and the digital signal, and computer order is passed to remote transmission terminal by wireless signal, and receives the data that remote transmission terminal is passed back;
The image data that boiler room control centre passes back at 1 heat exchanging station is stored, is put in order and analyzes, write computer program by simultaneous node flow equation of equilibrium group, circuit pressure equation of equilibrium group and Branch Resistance law, after drawing result of calculation, generate the variation diagram of dynamical system pressure diagram and heat exchange station flow and pressure;
Heat exchange station terminal data transmission equipment 4, be converted to digital signal for pressure and the flux signal that will gather the heat exchange station entrance of measuring, input heat exchange station terminal microprocessor, and receive the instruction that control centre sends, and pass the heat exchange station inlet pressure and the data on flows signal that gather back control centre;
Heat exchange station terminal microprocessor 7 is provided with storage in it, be used for receiving control centre's instruction, and control centre is processed, stores and passed back to the survey data of heat exchange station pressure transducer, flow transducer collection;
Heat exchange station pressure transducer 8 is used for gathering the force value of measuring the heat exchange station entrance and exit;
Heat exchange station flow transducer 9 is used for gathering the flow value of measuring the heat exchange station entrance;
UPS battery is used for providing remote transmission terminal collection measurement, digital-to-analog conversion, storage, reception, the required power supply of emission and control centre, even when normal power supply goes wrong, guarantees that the SCADA system still can move normally;
Infrared thermometer is used for determining concrete leak position after roughly determining the leakage point scope.
Fig. 2 is mixed self-adapting genetic algorithm flow chart of the present invention, by the characteristics resistance coefficient of genetic algorithm correction pipeline, thereby makes the calculated value of program more accurate.At first, press the initial population of the coded system formation characteristics resistance coefficient of Gray code; User's pressure and data on flows that utilization collects are determined the objective function of genetic algorithm to calculate each individual adaptive value; Whether the observation adaptive value meets the demands, if ungratified words, employing is selected, the operatings of genetic algorithm of crossover and mutation, and initial population is evolved, until satisfy condition, the probability of selection and intersection is continuous the variation in this process; Adopt at last the method for pattern search, draw more accurately value.
Fig. 3 is the flow chart of a kind of heating network leakage locating method of the present invention, and the step that it is concrete and effect comprise following content:
A. by decomposing, merge, omitting, actual heating network is simplified, be abstracted into desirable computation model;
B. utilize design load and the history data of this heating network, calculate the hydraulic regime of this heating network when normal operation; Afterwards, adopt the improved genetic algorithms method, system's hydraulic regime that simplification calculates is revised, thereby the calculated value that makes program is more near actual measured value;
C. utilize the active user data that record, calculate the real-time dynamic water-pressure figure that generates this heating network under the nominal situation, and the tendency chart of heat exchange station inlet pressure and changes in flow rate;
D. the flex point of pressure gradient occurs when pressure diagram, the Changing Pattern under the operating mode appears leaking in the user's who records simultaneously pressure and flow, and the small pump rate of water make-up can be judged leakage failure to occur when increasing suddenly;
E. according to the data after leaking, adopt equally genetic algorithm that the heating network model after leaking is revised, calculate the pressure of each node of heating network after the leakage and the flow of each pipeline section;
F. after leakage point occurring in the pipe network, for pressure diagram, pressure diagram pressure gradient steepening before the leakage point, pressure diagram pressure gradient behind the leakage point flattens slow, and obvious flex point appears in pressure diagram, locates for the user, user's flow increases before the leakage point, customer flow behind the leakage point reduces, and the pressure at user entry place changes appearance with water pressure in main pipe figure pressure: the non-geometric ratio imbalance of user entry pressure before the leakage point, the trend of user entry pressure geometric ratio imbalance behind the leakage point.By the situation of change of pressure diagram and in conjunction with the variation tendency of leaking rear each user's pressure and flow, judge the residing pipeline section of leakage point;
G. according to the data of leaking pipeline section front and back node, obtain the approximate location of leakage point on this leakage pipeline section;
H. at the known leak pipeline section with roughly behind the leak position, near leakage point, utilizing infrared thermometer to measure the surface temperature highest point, both has been the leakage point of heating network.

Claims (4)

1. a heating network leaks the system of locating, and is comprised of boiler room control centre (1), several heat exchange station control system (5) and infrared thermometer, it is characterized in that,
Described boiler room control centre (1) drives receiver (4) by the computer (2) that links to each other in turn, data transmission set (3) and multichannel and forms;
Described heat exchange station control system (5) is by heat exchange station terminal data transmission equipment (6), and the heat exchange station terminal microprocessor (7) that is connected with heat exchange station terminal data transmission equipment (6) respectively, heat exchange station pressure transducer (8) and heat exchange station flow transducer (9) form;
Described each heat exchange station control system (5) drives receiver (4) with data line with the multichannel of boiler room control centre (1) by heat exchange station terminal data transmission equipment (6) and is connected.
2. a kind of heating network according to claim 1 leaks the system of location, it is characterized in that, described boiler room control centre (1) is connected 5 with the heat exchange station control system) in each assembly be connected with UPS battery respectively.
3. heating network leakage locating method based on the described system of claim 1 is characterized in that having following steps:
A. by decomposing, merge, omitting, actual heating network is simplified, be abstracted into desirable computation model;
B. utilize design load and the history data of this heating network, calculate the hydraulic regime of this heating network when normal operation; Adopt the mixed self-adapting genetic algorithm that system's hydraulic regime that simplification calculates is revised, thereby the calculated value that makes program is more near actual measured value;
C. utilize the active user data that record, calculate the real-time dynamic water-pressure figure that generates this heating network under the nominal situation, and the tendency chart of heat exchange station inlet pressure and changes in flow rate;
D. the flex point of pressure gradient occurs when pressure diagram, the Changing Pattern under the operating mode appears leaking in the user's who records simultaneously pressure and flow, and the small pump rate of water make-up can be judged leakage failure to occur when increasing suddenly;
E. according to the data after leaking, adopt equally genetic algorithm that the heating network model after leaking is revised, calculate the pressure of each node of heating network after the leakage and the flow of each pipeline section;
F. after leakage point occurring in the pipe network, for pressure diagram, the pressure diagram pressure gradient steepening before the leakage point, the pressure diagram pressure gradient behind the leakage point flattens slow, and obvious flex point appears in pressure diagram; For the user place, user's flow increases before the leakage point, and the customer flow behind the leakage point reduces; The pressure at user entry place changes appearance with water pressure in main pipe figure pressure: the non-geometric ratio imbalance of user entry pressure before the leakage point, the trend of user entry pressure geometric ratio imbalance behind the leakage point; According to the situation of change of above-mentioned pressure diagram and the variation tendency of leaking rear each user's pressure and flow, judge the residing pipeline section of leakage point;
G. according to the data of leaking pipeline section front and back node, obtain the approximate location of leakage point on this leakage pipeline section;
H. at the known leak pipeline section with roughly behind the leak position, near leakage point, utilizing infrared thermometer to measure the surface temperature highest point, both has been the leakage point of heating network.
4. heating network leakage locating method according to claim 3 is characterized in that, among the described step b, described mixed self-adapting genetic algorithm is the method for mixed mode search method on the basis of self-adapted genetic algorithm.
CN2012103620488A 2012-09-26 2012-09-26 Heat supply pipe network leakage positioning system and heat supply pipe network leakage positioning method Pending CN102865459A (en)

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Cited By (23)

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Publication number Priority date Publication date Assignee Title
CN103453322A (en) * 2013-08-24 2013-12-18 北京工业大学 Experimental method for leakage characteristics of buried petroleum transmission pipeline
CN103604045A (en) * 2013-08-24 2014-02-26 北京工业大学 Experiment system for leakage characteristics of buried oil pipelines
CN103775830A (en) * 2014-01-20 2014-05-07 武汉第二船舶设计研究所 High-temperature stream leakage detection positioning system and high-temperature stream leakage detection positioning method
CN103822098A (en) * 2014-02-25 2014-05-28 上海肯特仪表股份有限公司 Method for monitoring water supply network leakage
CN105388884A (en) * 2015-11-05 2016-03-09 天津大学 Alarm system for detecting leakage fault of heat supply network based on identification algorithm driven by data and method
CN105917157A (en) * 2013-12-02 2016-08-31 株式会社东芝 Leak suppression device, leak suppression system and leak suppression program
CN106090625A (en) * 2016-08-23 2016-11-09 苏州工业园区蓝天燃气热电有限公司 A kind of buried jet chimney leakage inspection method
CN107388045A (en) * 2017-08-23 2017-11-24 上海山南勘测设计有限公司 A kind of device and detection method for underground heat hydraulic piping detection
CN108350688A (en) * 2015-09-25 2018-07-31 株式会社东芝 Leakage diagnosis device, leakage diagnosis method and computer program
CN108760366A (en) * 2018-05-22 2018-11-06 华电电力科学研究院有限公司 The computational methods of heating steam in-pipe inspection robot acceptance evaluation heating power index
CN109340583A (en) * 2018-11-23 2019-02-15 北京京能未来燃气热电有限公司 Heating network leakage monitoring system and method
CN109357169A (en) * 2018-11-22 2019-02-19 北京京能未来燃气热电有限公司 Pipeline network leak Fault Locating Method of heat supply and device
CN110043806A (en) * 2019-05-16 2019-07-23 哈尔滨工业大学 It is traced to the source based on two o'clock optimizing the method for positioning combustion gas direct-burried pipeline leakage point
CN110220266A (en) * 2019-05-27 2019-09-10 汪吉平 One kind being used for central air conditioning water system preventing water leakage automatic water-replenishing device
CN111059477A (en) * 2019-12-23 2020-04-24 浙江工业大学 Double-layer framework based reverse source-seeking chemical pipeline leakage detection and positioning method
CN111412391A (en) * 2019-01-04 2020-07-14 合肥暖流信息科技有限公司 Pipe network leakage detection method and system
CN111536423A (en) * 2020-04-30 2020-08-14 苏州智品信息科技有限公司 Pipe burst positioning method based on particle swarm optimization
CN111911817A (en) * 2020-06-28 2020-11-10 吉林省百瑞生科技发展有限公司 On-line monitoring method and device for leakage of buried pipe network
CN113626984A (en) * 2021-07-08 2021-11-09 王程远 Secondary pipe network hydraulic imbalance monitoring method, device, equipment and storage medium
CN114251603A (en) * 2021-12-15 2022-03-29 三杰节能新材料股份有限公司 Intelligent leakage detection method for heat supply pipeline
CN116202038A (en) * 2023-05-05 2023-06-02 海纳云物联科技有限公司 Pipe network leakage event early warning method, device, equipment and medium
CN116557793A (en) * 2023-07-10 2023-08-08 中建安装集团有限公司 System and method for monitoring running state of heat supply pipeline integrating pressure sensing and temperature sensing
CN116579272A (en) * 2023-07-13 2023-08-11 天津市津安热电有限公司 Pipe network leakage positioning method and system based on steady-state hydraulic adjustment calculation

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CN103604045A (en) * 2013-08-24 2014-02-26 北京工业大学 Experiment system for leakage characteristics of buried oil pipelines
CN103604045B (en) * 2013-08-24 2015-10-28 北京工业大学 A kind of Buried Oil Pipelines leakage characteristics experimental system
CN103453322B (en) * 2013-08-24 2016-12-28 北京工业大学 A kind of Buried Oil Pipelines leakage characteristics experimental technique
CN103453322A (en) * 2013-08-24 2013-12-18 北京工业大学 Experimental method for leakage characteristics of buried petroleum transmission pipeline
CN105917157A (en) * 2013-12-02 2016-08-31 株式会社东芝 Leak suppression device, leak suppression system and leak suppression program
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CN103775830A (en) * 2014-01-20 2014-05-07 武汉第二船舶设计研究所 High-temperature stream leakage detection positioning system and high-temperature stream leakage detection positioning method
CN103822098A (en) * 2014-02-25 2014-05-28 上海肯特仪表股份有限公司 Method for monitoring water supply network leakage
CN108350688B (en) * 2015-09-25 2020-10-27 株式会社东芝 Water leakage diagnosis device, water leakage diagnosis method, and computer program
CN108350688A (en) * 2015-09-25 2018-07-31 株式会社东芝 Leakage diagnosis device, leakage diagnosis method and computer program
CN105388884A (en) * 2015-11-05 2016-03-09 天津大学 Alarm system for detecting leakage fault of heat supply network based on identification algorithm driven by data and method
CN106090625A (en) * 2016-08-23 2016-11-09 苏州工业园区蓝天燃气热电有限公司 A kind of buried jet chimney leakage inspection method
CN107388045A (en) * 2017-08-23 2017-11-24 上海山南勘测设计有限公司 A kind of device and detection method for underground heat hydraulic piping detection
CN108760366A (en) * 2018-05-22 2018-11-06 华电电力科学研究院有限公司 The computational methods of heating steam in-pipe inspection robot acceptance evaluation heating power index
CN109357169A (en) * 2018-11-22 2019-02-19 北京京能未来燃气热电有限公司 Pipeline network leak Fault Locating Method of heat supply and device
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CN110220266A (en) * 2019-05-27 2019-09-10 汪吉平 One kind being used for central air conditioning water system preventing water leakage automatic water-replenishing device
CN111059477B (en) * 2019-12-23 2021-10-01 浙江工业大学 Double-layer framework based reverse source-seeking chemical pipeline leakage detection and positioning method
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CN113626984A (en) * 2021-07-08 2021-11-09 王程远 Secondary pipe network hydraulic imbalance monitoring method, device, equipment and storage medium
CN114251603A (en) * 2021-12-15 2022-03-29 三杰节能新材料股份有限公司 Intelligent leakage detection method for heat supply pipeline
CN116202038A (en) * 2023-05-05 2023-06-02 海纳云物联科技有限公司 Pipe network leakage event early warning method, device, equipment and medium
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CN116557793A (en) * 2023-07-10 2023-08-08 中建安装集团有限公司 System and method for monitoring running state of heat supply pipeline integrating pressure sensing and temperature sensing
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Application publication date: 20130109