CN112856249A - Urban water supply pipe network leakage monitoring method - Google Patents
Urban water supply pipe network leakage monitoring method Download PDFInfo
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Abstract
The invention discloses a leakage monitoring method for an urban water supply network, which is characterized in that the urban water supply network is divided into regions, environmental information and pipeline information of each region are comprehensively considered, two methods are adopted to calculate the noise propagation speed of a leakage point respectively, then the two calculated values are fused through a set threshold and a set weight, the environmental information and the pipeline information are comprehensively considered, the actual propagation speed of the noise of the leakage point in a pipeline can be obtained more accurately, and the positioning accuracy of the leakage point of the water supply network is improved; the method can be used for planning and designing the city, the urban area or the garden and can realize the remote monitoring of the leakage information of the water supply pipeline in the target area.
Description
Technical Field
The invention relates to a leakage monitoring method for an urban water supply pipe network, and belongs to the technical field of water supply pipe maintenance.
Background
With the increase of pipelines and the increase of service life, and inevitable natural or artificial damage reasons such as corrosion, abrasion and the like, pipeline leakage and accidents caused by the pipeline leakage frequently occur. For urban water supply networks, pipeline leakage rate in the United states is below 8%, average pipeline leakage rate in China is above 20%, and the pipeline leakage rate is particularly serious in the North when increasing year by year. The leakage rate of some small and medium-sized cities reaches nearly 70 percent. The method not only affects the economic benefit of water supply enterprises, but also damages pipeline infrastructure, and also brings potential threats to public facilities such as roads where the pipeline network is located and other nearby buildings and structures. Therefore, the control work of water supply pipe network leakage is very important, how to be able to fast and accurately locate the leakage point so as to repair the leaked pipeline in time, which becomes a crucial link.
At present, the traditional method for positioning the water supply pipeline mainly uses an automatic leakage noise recorder, although the position of a leakage point can be detected accurately, the traditional method has some limitations:
1. manual labor is required for installation (offline) or placement (online) of the sensor and operation of the host.
2. On-line detection only adopts two sensors, so that the calculation of the position of a leakage point can be carried out only by inputting the pipe, the pipe diameter and the noise propagation speed, and the final positioning result is easy to generate larger error due to inaccurate input; in addition, the influence of the noise transmission without considering environmental factors is easy to cause errors of positioning results.
3. The distance between the two sensors must be input to calculate the leak location. When the pipeline information is missing, the length is generally measured by rolling a roller on the ground above the pipeline. Due to the fact that the ground is irregular in undulation and various obstacles exist, the rolling direction of the roller is deviated from the trend of the buried pipeline, the length of the pipeline is not accurately measured, and therefore a missing point is positioned wrongly; the portable pipeline detector can detect the depth and the trend of the buried pipeline through methods such as electromagnetism, but the length measurement precision is still influenced by the ground conditions. The actual distance between the two sensors cannot be measured well, so that the positioning accuracy of the leakage point can be influenced, the area where the leakage point is located can be detected only approximately, the positioning is not accurate, and finally, a detector may be used for accurate positioning on the spot.
Especially urban water supply pipe network material is various, and the structure is complicated, if realize the leakage point monitoring to whole urban water supply pipe network, is the problem that needs solve at present urgently.
Disclosure of Invention
The invention aims to provide a method for monitoring leakage of an urban water supply network, which is used for carrying out regional division on the urban water supply network, comprehensively considering the environmental information and the pipeline information of each region, more accurately obtaining the actual propagation speed of the noise of a leakage point in a pipeline and improving the positioning precision of the leakage point of the water supply network; the method can be used for planning and designing the city, the urban area or the garden and can realize the remote monitoring of the leakage information of the water supply pipeline in the target area.
In order to achieve the purpose, the invention provides the following technical scheme:
a leakage monitoring method for an urban water supply pipe network is characterized by comprising the following steps:
acquiring pipeline information of an urban water supply network, and performing regional processing on the water supply network according to the pipeline information, wherein only the same pipeline type and no branch pipeline exist in the same region; a plurality of detectors for detecting leakage point noise signals are distributed and arranged for each pipeline region;
step two, integrating the pipeline information and the detector information of each pipeline area to construct a three-dimensional model of the urban water supply network, wherein the detector information at least comprises the position information of a detector;
step three, regularly acquiring noise signals acquired by each detector, analyzing the noise signals, judging whether leakage point noise exists, and marking the corresponding detector as a detector to be processed if the leakage point noise exists;
step four, acquiring three detectors in front of and behind the corresponding leakage point of each detector to be processed, and respectively calculating a first noise propagation speed V1 and a second noise propagation speed V2 by adopting two different noise propagation speed calculation methods according to the three acquired detectors and by combining pipeline parameters, position information corresponding to the detectors and time information of received noise signals;
step five, calculating to obtain a reliability speed threshold value Vt and a corresponding reliability speed range [ Vt-delta V, Vt + delta V ] by combining the pipeline parameters of the region where the detector is located and the environment information;
step six, according to the judgment result whether the first noise propagation speed V1 and the second noise propagation speed V2 are in the range of the credibility speed, adjusting the weights corresponding to the first noise propagation speed V1 and the second noise propagation speed V2, and calculating to obtain the corrected noise propagation speed V by fusing the first noise propagation speed V1, the second noise propagation speed V2 and the credibility speed threshold Vt through the weights;
and step seven, calculating to obtain the position information of the leakage point by combining the corrected noise propagation speed V and the GPS position information corresponding to the detector, and marking the position information on the three-dimensional model of the urban water supply network.
Further, the urban water supply network leakage monitoring method further comprises the following steps:
setting a plurality of leakage point processing strategies for each pipeline region;
and analyzing the quantity and the position information of the leakage points, and automatically acquiring a processing strategy of the corresponding pipeline region according to an analysis result.
Further, the urban water supply network leakage monitoring method further comprises the following steps:
and calculating to obtain the leakage risk grade of the corresponding pipeline region according to the number of the leakage points, the position information of the leakage points and the important grade of the corresponding pipeline region, and sending out corresponding alarm information and a processing strategy according to the leakage risk grade.
Further, in step five, the confidence level velocity threshold Vt is calculated by using the following formula:
wherein the content of the first and second substances,
is a pipe diameter-noise propagation speed fitting curve, and D is the pipe diameter;
is a function of the influence of the temperature t on the propagation speed of the noise; beta is the service life coefficient of the water pipe, beta of the newly installed water pipe is 1, and the beta is reduced along with the increase of the service life.
Further, in the fifth step, for the water pipe with the pipe diameter ranging from 50mm to 500mm, the delta V is 50 m/s.
Further, in step six, the step of calculating the corrected noise propagation velocity V includes:
if the first noise propagation speed V1 and the second noise propagation speed V2 are both in the confidence speed range, the corrected noise propagation speed V is calculated by the following formula:
V＝ω1·V1+ω2·V2
in the formula, ω 1 and ω 2 are weights corresponding to the first noise propagation velocity V1 and the second noise propagation velocity V2, respectively, and ω 1+ ω 2 is 1; the initial values of omega 1 and omega 2 are both 0.5, and the initial values are continuously corrected according to the actual leakage point positioning result and the calculated leakage point positioning result;
if one of the first noise propagation velocity V1 and the second noise propagation velocity V2 is in the confidence level velocity range interval, the corrected noise propagation velocity V is calculated by the following formula:
V＝ωi*·Vi+(1-ωi*)·Vj
where i is 1 or 2, j is 1 or 2, and i is not equal to j, Vi exceeds the reliability speed range section, and Vj is located within the reliability speed range section;
if the first noise propagation speed V1 and the second noise propagation speed V2 both exceed the confidence speed range interval, the corrected noise propagation speed V is calculated by adopting the following formula:
in the equation, Vi is closer to the confidence velocity threshold Vt than Vj.
Further, in the seventh step, the corrected noise propagation velocity V and the GPS location information corresponding to the detector are combined to calculate the location information of the leak:
s71, setting the three detectors to be detectors S1, S2 and S3 respectively according to the position sequence, wherein the detector S2 is the detector with the highest noise signal peak value corresponding to the leakage point
S72, calculating the distance information Delta L of the leakage point relative to the detector S2 according to the following formula:
where Lx is the distance between the detector S2 and the detector closer to the leak point than the detector S2, and txThe time difference of the signals received by the two detectors;
and S73, calculating the position coordinates of the leakage point by combining the distance information delta L and the position coordinates of the detector S2.
Further, the detector is provided with a GPS synchronous positioning module.
The invention has the beneficial effects that:
(1) the two methods are adopted to calculate the noise propagation speed of the leakage point respectively, then the two calculated values are fused through setting a threshold value and a weight, environmental information and pipeline information are comprehensively considered, the actual propagation speed of the noise of the leakage point in the pipeline can be obtained more accurately, and the positioning accuracy of the leakage point of the water supply network is improved.
(2) In order to save manpower and material resources and reduce cost, a region coverage multi-detector positioning system based on a GPS positioning detector is used, and the geographical position information and the pipeline information of the detector are quickly positioned through GPS information returned by each detector, so that remote automatic management is realized; and the GPS time service of each sensor is accurately synchronized, and the error is less than 1 ms.
(3) The system can be connected with a geographic information system, and can display a map interface, a water supply pipeline interface, the position of a monitoring device in the map and the positioning of a leakage point on a monitoring screen in a layered mode.
(4) And (3) constructing a pipeline model, importing historical pipeline operation and maintenance information, and predicting possible leakage points in advance according to the analysis result of historical data and the data sent back by the sensor on whether water supply pipeline leakage will occur in a target area, so as to realize advanced prevention and control.
(5) By adopting the sleep strategy, the detector only monitors the noise in a fixed time period, and eliminates the interference of other interference noise sources in certain time periods on the detection result.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood and to implement them in accordance with the contents of the description, the following detailed description is given with reference to the preferred embodiments of the present invention and the accompanying drawings.
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FIG. 1 is a flow chart of a method for monitoring leakage of a municipal water supply network.
FIG. 2 is a schematic diagram of the principle of locating a leak using 3 sensors.
Fig. 3 is an acquisition diagram of two noise propagation speeds.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
With reference to fig. 1, the present invention provides a method for monitoring leakage of a city water supply network, which is characterized in that the method comprises the following steps:
acquiring pipeline information of an urban water supply network, and performing regional processing on the water supply network according to the pipeline information, wherein only the same pipeline type and no branch pipeline exist in the same region; a plurality of detectors for detecting leakage point noise signals are distributed and arranged for each pipeline region;
step two, integrating the pipeline information and the detector information of each pipeline area to construct a three-dimensional model of the urban water supply network, wherein the detector information at least comprises the position information of a detector;
step three, regularly acquiring noise signals acquired by each detector, analyzing the noise signals, judging whether leakage point noise exists, and marking the corresponding detector as a detector to be processed if the leakage point noise exists;
step four, acquiring three detectors in front of and behind the corresponding leakage point of each detector to be processed, and respectively calculating a first noise propagation speed V1 and a second noise propagation speed V2 by adopting two different noise propagation speed calculation methods according to the three acquired detectors and by combining pipeline parameters, position information corresponding to the detectors and time information of received noise signals;
step five, calculating to obtain a reliability speed threshold value Vt and a corresponding reliability speed range [ Vt-delta V, Vt + delta V ] by combining the pipeline parameters of the region where the detector is located and the environment information;
step six, according to the judgment result whether the first noise propagation speed V1 and the second noise propagation speed V2 are in the range of the credibility speed, adjusting the weights corresponding to the first noise propagation speed V1 and the second noise propagation speed V2, and calculating to obtain the corrected noise propagation speed V by fusing the first noise propagation speed V1, the second noise propagation speed V2 and the credibility speed threshold Vt through the weights;
and step seven, calculating to obtain the position information of the leakage point by combining the corrected noise propagation speed V and the GPS position information corresponding to the detector, and marking the position information on the three-dimensional model of the urban water supply network.
The invention has two purposes, firstly, the position information of each detector can be quickly obtained by GPS positioning, and secondly, the detectors can work synchronously as far as possible by using synchronous signals, or accurate time signals are carried in noise signals fed back by the detectors, thereby being convenient for the background to calculate the position of the leakage point.
The three-dimensional model of the urban water supply network is installed in the background server, and preferably, the three-dimensional model can be connected with a geographic information system, so that a map interface can be displayed on a monitoring screen, the water supply pipeline interface can be displayed in a layered mode, and the position of a monitoring device in the map and the positioning of leakage points can be monitored. In the urban water supply network three-dimensional model, besides the serial number and the installation position of the detector and the corresponding GPS positioning information, the pipeline data of the water supply pipeline within the range are stored, including the pipe diameter, the pipe material, the elastic modulus and the like, preferably, the urban water supply network three-dimensional model is constructed by referring to a real map, so that the pipeline is convenient to rescue or maintain quickly, the pipeline state is subsequently evaluated according to historical leakage information, and possible leakage points are predicted in advance to avoid causing larger loss and the like.
The invention adopts the principle of positioning the leakage point by using 3 sensors, and a schematic diagram is shown in figure 2. In fig. 2, t12 is the estimated time difference between the arrival of the leakage point noise at sensor 1 and sensor 2, t23 is the estimated time difference between the arrival of the leakage point noise at sensor 1 and sensor 2, L12 and L23 are the distances between sensor 2 and sensors 1 and 3, respectively, V is the noise propagation speed, and L is the distance between the leakage point to be determined and the detector. The solving formula of the leakage point is as follows:
according to the above formula, to achieve accurate positioning of L, the following preconditions exist: (1) precise sensor spacings L12 and L23; (2) the exact correlation time differences t12 and t 23; the precise noise signal propagation velocity V.
The accurate sensor distance can accurately calculate the Euclidean distance between the sensors through the GPS position data received by each sensor; the exact correlation time is then related to the time synchronization and the hardware. Therefore, how to obtain an accurate noise propagation velocity V becomes a crucial part thereof.
The principle of the method for locating a leak in a water supply pipe according to the present invention will now be described in detail with reference to the following examples.
The background system can receive data returned by each detector regularly or in real time, and can analyze noise waveforms and judge whether leakage exists after the system collects GPS geographical position signals, field sound vibration signals and time information of each detection device. When the waveform at a certain position is determined to be a leakage waveform, relevant detector data is extracted. Then, the propagation speed of the noise is calculated by two methods (a pipeline parameter calculation method and a noise wave time difference calculation method) respectively, and the two results are fused according to an algorithm to obtain the relatively accurate propagation speed.
when a signal acquired by a certain detector is determined to have a leakage noise source, power spectrogram data of 3 detectors before and after the arrangement position of the detector is additionally extracted respectively. And (3) comparing the peak values of the signal power spectrograms acquired by all 7 detectors, setting the detector with the highest noise signal peak value as S2, and setting the detectors positioned at two adjacent sides of S2 as S1 and S3 respectively according to the arrangement positions of the detectors. The data (pipe parameters, environmental information, GPS location information, time information) relevant to these 3 detectors are extracted. Relative distances between the 3 detectors are calculated from the GPS position information, and the distance from S1 to S2 is set as L12, and the distance from S2 to S3 is set as L23. The pipeline parameters and environmental data (water volume elastic coefficient Ev, tubular material elastic coefficient E, water density ρ, inner diameter D of the pipe, pipe wall thickness h, inner radius r1 of the pipe, outer radius r2 of the pipe) of the three probes are read.
And 2, with reference to fig. 3, calculating a first noise propagation speed V1 according to the pipe parameters of the region where the detector is located. Generally, the water supply pipeline is made of lead or iron, and the two pipes need to be treated differently.
When the pipe wall thickness h is greater than the inner diameter D of the pipe, and the pipe is lead, the noise propagation velocity V1 is calculated using the following formula:
in the formula, EvIs the bulk modulus of elasticity of water, ρ is the density of water, r1Is the inner radius of the tube, r2Is the outer radius of the tube and E is the modulus of elasticity of the tube.
When the pipe wall thickness h is smaller than the inner diameter D of the pipe, and the pipe material is cast iron or steel, the noise propagation velocity V1 is calculated using the following formula:
wherein D is the inner diameter of the tube and h is the wall thickness of the tube.
Since the calculated V1 is affected by the external environment and causes errors, such as air temperature, pipe water temperature, and scale, it cannot be used singly as the final noise propagation velocity.
And 3, with reference to fig. 3, calculating a second noise propagation speed V2 according to the GPS location information corresponding to the detector and the time information of the received noise signal.
The second velocity calculation method is a signal cross-correlation time difference calculation method. Since all detectors in the system will be installed at a certain distance, L12 ≈ L23, the estimated time difference t12 between detectors S1 and S2 is necessarily smaller than the estimated time difference t23 between detectors S2 and S3, assuming that the leak point is between S1 and S2.
Let tmax be the larger of the values of the estimated time difference t12 and t23 of the detector, and the formula of V2 is:
time delay t calculated using cross-correlation method due to attenuation of noise propagation energymaxThere will also be an error, and there will be a corresponding error in V2.
And 4, calculating a reliability speed threshold value Vt and a corresponding reliability speed range [ Vt-delta V, Vt + delta V ] by combining the pipeline parameters of the region where the detector is located and the environment information.
In order to solve the problem that the leak point is not accurately positioned when the calculation error of V1 or V2 may occur, the final calculation result V of the noise propagation speed is formed by fusing V1 and V2, and a reference value is set to evaluate the accuracy of V1 and V2, and the reference value is called a reliability threshold in the patent.
The propagation speed of the sound wave vibration in the pipeline is generally 1000m/s to 1500m/s, and changes along with the change of the temperature of the pipe, the pipe diameter, the external environment and the propagation medium.
The variable formula of the confidence threshold Vt (unit: m/s) for measuring the accuracy of the calculation results of V1 and V2 is
The first part of the formula (-D3/75000+ D2/91-3.26 x D +1500) is a tube diameter-noise propagation velocity fit curve. The pipe diameter D (unit: mm) has a great influence on the noise propagation speed, which decreases as the pipe diameter increases. The fitting curve is particularly suitable for water supply pipelines with the pipe diameter of 50mm to 500 mm. The second part of the equation (1- (t-20)/10000) is the effect temperature t has on the propagation velocity, and a decrease in temperature slightly increases the noise propagation velocity. The third part of the formula is a water pipe service life coefficient, the newly installed water pipe has the beta value of 1, and the beta value gradually decreases along with the increase of the service life. The reason is that the scale in the water pipe increases due to the increase of the service life, and it is considered that the scale layer lowers the elastic modulus of the pipe. The noise propagation velocity is lower in a longer-age pipe than in a new pipe. The variable β depends on a priori data, and relevant data may be collected after the project is initiated to generally determine the rate of change of the variable β as the pipeline ages. Thus, Vt and its corresponding threshold range are also a learnable variation.
Preferably, the maximum and minimum interval range for setting the confidence threshold is (Vt-50, Vt +50), and the noise propagation speed in this range is the confidence data.
And 5, calculating to obtain the corrected noise propagation speed V.
The noise propagation velocity V will fuse the two calculated V1 and V2 by a weight ω. The fusion propagation velocity V ω 1 × V1+ ω 2 × V2 is set, the weight of V1 is ω 1, and the weight of V2 is ω 2. The sum of the weight ω 1 and the weight ω 2 is always 1. Because different water supply pipelines have different situations and the weights of different water supply pipelines may be different, for a pipeline just laid with a leakage positioning system, the initial values of the weights of two speeds can be set to be 0.5, the two speed algorithms are evaluated by combining the calculated leakage point position and the actual leakage point positioning result, the initial values of the weights of the two algorithms are continuously corrected, the higher the calculation result precision of which speed is, the larger the initial weight value of which speed is, and the more suitable for the current water supply pipeline is achieved.
When both V1 and V2 are within the confidence threshold, the propagation velocity V is fused using the following fusion equation 1:
V＝ω1·V1+ω2·V2。
when one of V1 or V2 is outside the noise propagation speed confidence threshold range, fusion formula 1 is still used. Meanwhile, the weight of the speed exceeding the threshold range is reduced, and the weight of the speed not exceeding the threshold range is increased. For example, when the calculation result of V1 is greater than Vt +50 or less than Vt-50, it is considered that a large calculation error is generated in calculating V1, and the weight ω 1 of V1 and the weight ω 2 of V2 are adjusted to:
when V1 and V2 both fall outside the confidence threshold range, it can be assumed that both velocity algorithms have errors, and in order to reduce the errors, the confidence threshold Vt is also merged into the final velocity calculation result, and the corrected noise propagation velocity V is calculated according to the merging formula 2:
the 50% calculation basis in fusion equation 2 is occupied by Vt, which can improve the accuracy of the noise propagation speed of the final fusion in the case where neither V1 nor V2 is calculated accurately. The weight of V1 and V2 were each reduced by 50%. This is because, as verified by a lot of experiments, the values of Vt, although not sufficiently precise, are relatively reasonable due to their dependence on the pipe parameters and environmental parameters. To compensate for the accuracy, we can preferably increase the weight of the speed closer to the confidence threshold range and decrease the weight of the other speed, and reasonably introduce V1 and V2 to obtain the most accurate positioning result. For example, when the calculation result of V1 is closer to the threshold range than V2, the weight ω 1 of V1 and the weight ω 2 of V2 are adjusted to:
it should be understood that when the two velocity calculated values V1 and V2 both exceed the allowable range, the accuracy of the current leak location is lower than that of the former two ways, the present invention corrects the velocity value V by introducing Vt, so that the accuracy of the leak is as high as possible relative to the original calculated result, and the final leak location result may have a deviation from the true leak location, and the deviation value still depends on the deviation values of V1 and V2. But the average position error obtained by adopting the positioning method of the invention is reduced by more than 80 percent compared with the method directly adopting the traditional method.
And 6, calculating to obtain the position information of the leakage point.
After calculating V, the value of the leak location L can be found according to the following solution:
in the formula, Lx is the distance between the position of the detector closer to the leak point except for S2 and S2 among the three detectors, and tx is the time difference between the signals received by the two detectors. For example, when tx — t12, Lx — L12; when tx is t23, Lx is L23. And calculating the GPS geographic position of the leakage point according to the distance L and the GPS geographic position of the corresponding detector.
After all the required data are obtained, the server side analyzes the data and gives an evaluation to judge whether leakage exists in the water supply pipe network of the monitoring area. The access to the geographic information system will show on the screen the current: the map interface, the water supply pipeline interface (layered display), and the position of the monitoring device in the map and the accurate positioning of the leakage point.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (8)
1. A leakage monitoring method for an urban water supply pipe network is characterized by comprising the following steps:
acquiring pipeline information of an urban water supply network, and performing regional processing on the water supply network according to the pipeline information, wherein only the same pipeline type and no branch pipeline exist in the same region; a plurality of detectors for detecting leakage point noise signals are distributed and arranged for each pipeline region;
step two, integrating the pipeline information and the detector information of each pipeline area to construct a three-dimensional model of the urban water supply network, wherein the detector information at least comprises the position information of a detector;
step three, regularly acquiring noise signals acquired by each detector, analyzing the noise signals, judging whether leakage point noise exists, and marking the corresponding detector as a detector to be processed if the leakage point noise exists;
step four, acquiring three detectors in front of and behind the corresponding leakage point of each detector to be processed, and respectively calculating a first noise propagation speed V1 and a second noise propagation speed V2 by adopting two different noise propagation speed calculation methods according to the three acquired detectors and by combining pipeline parameters, position information corresponding to the detectors and time information of received noise signals;
step five, calculating to obtain a reliability speed threshold value Vt and a corresponding reliability speed range [ Vt-delta V, Vt + delta V ] by combining the pipeline parameters of the region where the detector is located and the environment information;
step six, according to the judgment result whether the first noise propagation speed V1 and the second noise propagation speed V2 are in the range of the credibility speed, adjusting the weights corresponding to the first noise propagation speed V1 and the second noise propagation speed V2, and calculating to obtain the corrected noise propagation speed V by fusing the first noise propagation speed V1, the second noise propagation speed V2 and the credibility speed threshold Vt through the weights;
and step seven, calculating to obtain the position information of the leakage point by combining the corrected noise propagation speed V and the GPS position information corresponding to the detector, and marking the position information on the three-dimensional model of the urban water supply network.
2. The municipal water supply network leak monitoring method according to claim 1, further comprising:
setting a plurality of leakage point processing strategies for each pipeline region;
and analyzing the quantity and the position information of the leakage points, and automatically acquiring a processing strategy of the corresponding pipeline region according to an analysis result.
3. The municipal water supply network leak monitoring method according to claim 2, further comprising:
and calculating to obtain the leakage risk grade of the corresponding pipeline region according to the number of the leakage points, the position information of the leakage points and the important grade of the corresponding pipeline region, and sending out corresponding alarm information and a processing strategy according to the leakage risk grade.
4. The method for monitoring the leakage of the municipal water supply network according to claim 1, wherein in step five, the confidence level velocity threshold Vt is calculated using the following formula:
wherein the content of the first and second substances,
is a pipe diameter-noise propagation speed fitting curve, and D is the pipe diameter;
is a function of the influence of the temperature t on the propagation speed of the noise; beta is the service life coefficient of the water pipe, beta of the newly installed water pipe is 1, and the beta is reduced along with the increase of the service life.
5. The method for monitoring the leakage of the municipal water supply network according to claim 4, wherein in step five, 50m/s is used for the water pipes with the pipe diameter ranging from 50mm to 500 mm.
6. The method for monitoring the leakage of the municipal water supply network according to claim 1, wherein in step six, the step of calculating the corrected noise propagation velocity V comprises:
if the first noise propagation speed V1 and the second noise propagation speed V2 are both in the confidence speed range, the corrected noise propagation speed V is calculated by the following formula:
V＝ω1·V1+ω2·V2
in the formula, ω 1 and ω 2 are weights corresponding to the first noise propagation velocity V1 and the second noise propagation velocity V2, respectively, and ω 1+ ω 2 is 1; the initial values of omega 1 and omega 2 are both 0.5, and the initial values are continuously corrected according to the actual leakage point positioning result and the calculated leakage point positioning result;
if one of the first noise propagation velocity V1 and the second noise propagation velocity V2 is in the confidence level velocity range interval, the corrected noise propagation velocity V is calculated by the following formula:
V＝ωi*·Vi+(1-ωi*)·Vj
where i is 1 or 2, j is 1 or 2, and i is not equal to j, Vi exceeds the reliability speed range section, and Vj is located within the reliability speed range section;
if the first noise propagation speed V1 and the second noise propagation speed V2 both exceed the confidence speed range interval, the corrected noise propagation speed V is calculated by adopting the following formula:
in the equation, Vi is closer to the confidence velocity threshold Vt than Vj.
7. The method for monitoring the leakage of the municipal water supply network according to claim 1, wherein in step seven, the position information of the leakage point is calculated by combining the corrected noise propagation velocity V and the GPS position information corresponding to the detector:
s71, setting the three detectors into detectors S1, S2 and S3 according to the position sequence, wherein the detector S2 is the detector with the highest noise signal peak value corresponding to the leakage point;
s72, calculating the distance information Delta L of the leakage point relative to the detector S2 according to the following formula:
where Lx is the distance between the detector S2 and the detector closer to the leak point than the detector S2, and txIs frontThe time difference of the signals received by the two detectors;
and S73, calculating the position coordinates of the leakage point by combining the distance information delta L and the position coordinates of the detector S2.
8. The method according to claim 1, wherein the detector has a GPS synchronized positioning module.
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| CN113567063A (en) * | 2021-07-23 | 2021-10-29 | 宁波水表(集团)股份有限公司 | Construction and application method of water supply pipe network leakage noise database |
| CN116432866A (en) * | 2023-06-08 | 2023-07-14 | 青岛沃泰水技术设备制造有限公司 | Urban intelligent drainage pipeline safety management method and system based on Internet of things |
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