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 PDFInfo
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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
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;
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.
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Application publication date: 20130109 |