CN115930117B - Underground pipe network leakage point detection method and system based on three-dimensional high-density electrical method - Google Patents
Underground pipe network leakage point detection method and system based on three-dimensional high-density electrical method Download PDFInfo
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Abstract
The invention provides a method and a system for detecting leakage points of a underground pipe network based on a three-dimensional high-density electrical method, wherein the method comprises the following steps: collecting a first data set of a region to be detected by using a three-dimensional high-density electrical method; the first data set comprises a base data set and a measured data set; constructing a needle basic model through a basic data set; correcting, iterative optimization and visualization are carried out on the model; and extracting the change characteristics of the abnormal body in the visual result in a preset time period, comparing the core resistivity of the abnormal body with the resistivity of the liquid in the pipe network, and positioning all leakage points of the underground pipe network of the region to be detected according to the extraction result and the comparison analysis result. Compared with the prior art, the liquid detection method based on the resistivity has the advantages that the resistivity of the liquid is influenced by temperature, the change of the resistivity is negligible on the detection result, and the sensitivity, the accuracy and the response speed are higher.
Description
Technical Field
The invention relates to the field of leakage point detection, in particular to a method and a system for detecting leakage points of a underground pipe network based on a three-dimensional high-density electrical method.
Background
At present, detection of underground pipe networks is a serious issue in urban management work. Types of underground piping include, but are not limited to, heating piping, tap water piping, sewage piping, and the like. The leakage of the pipe network except the loss of liquid resources, serious people can have risks such as bursting of the water pipe, and potential safety hazards are caused, so that the detection of leakage points of the regional pipe network, the prevention, discovery, early warning and the like of the leakage are always an important ring for the work of pipe network engineering personnel.
The existing detection technology for underground pipe networks mainly depends on a temperature sensor, such as the patent application of the invention with the application number of CN201510937602. X. When the underground pipe network has the condition of water leakage, the leaked water can possibly cause the soil temperature near the underground pipe network to have certain fluctuation, and further, the temperature curve measured by the temperature sensor near the leakage point can have jump, and the data peak is presented. However, in practical applications, for a pipe with small water flow, the water yield may be very small, the temperature change at this time is very small, and in some cases, the water temperature is very close to the soil temperature (such as in soil with a specific depth) of the pipe, and the data peak may not reach the set early warning threshold or trigger threshold, so that it is very difficult to detect a leak point by the method, and the detection accuracy is low.
Disclosure of Invention
The invention provides a method and a system for detecting leakage points of a underground pipe network based on a three-dimensional high-density electrical method, which are used for solving the technical problem of how to improve detection accuracy.
In order to solve the technical problems, the embodiment of the invention provides a method for detecting leakage points of a subsurface pipe network based on a three-dimensional high-density electrical method, which comprises the following steps:
collecting a first data set of a region to be detected by using a three-dimensional high-density electrical method; the high-density electric method instrument is connected with a plurality of electrodes, the electrodes are arranged in the region to be tested according to a preset rule, and the region to be tested is also provided with a plurality of electrode transfer switches; the first data set comprises a basic data set and a measured data set;
constructing a three-dimensional underground pipe network basic model aiming at the region to be detected through the basic data set;
superposing a first variable coefficient on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model;
performing iterative optimization on the corrected three-dimensional underground pipe network ground model through an actual measurement data set, and visualizing the three-dimensional underground pipe network ground model subjected to iterative optimization;
And extracting the change characteristics of the abnormal resistance body in the visual result in a preset time period, comparing and analyzing the core resistivity of the abnormal body with the fluid resistivity of the liquid in the underground pipe network of the region to be detected, and positioning all leakage points of the underground pipe network of the region to be detected according to the extraction result and the comparison and analysis result.
By implementing the embodiment of the application, the three-dimensional underground pipe network basic model is constructed through the data set of the three-dimensional high-density electric method acquisition area, after the model is corrected and iterated and optimized, the abnormal resistance in the model is visualized and determined, compared with the technical scheme that a temperature sensor is adopted in the prior art, the embodiment of the invention detects based on the resistivity, and even if the resistivity of liquid is influenced by temperature, the difference between the change of the liquid and the resistivity of soil or rock stratum is very little negligible, so that the method has higher sensitivity and higher accuracy. In addition, when water leakage occurs, the flow speed of water flow and current is faster than the conduction speed of temperature in various environments such as underground soil, strata and the like, and the detection mode based on the three-dimensional high-density electric method has higher response speed due to the fact that the conduction of temperature in the soil strata is considered to have higher delay. And the three-dimensional underground pipe network ground electric model subjected to iterative optimization is visualized, and the core resistivity and the fluid resistivity of the liquid are compared and analyzed through the change characteristics of the abnormal resistor body in a preset time period, so that the misjudgment rate of the detection process is further reduced and the overhaul and maintenance cost is effectively reduced while the core resistivity and the fluid resistivity of the liquid are displayed and verified for related personnel.
As a preferred embodiment of the present invention, the acquiring the first data set of the area to be measured by using the three-dimensional high density electrical method specifically includes:
collecting a first potential data set, a first resistivity data set, a second potential data set and a second resistivity data set of the region to be measured through the high-density electrical instrument, the plurality of electrode transfer switches and the plurality of electrodes;
constructing the basic data set according to the first potential data set and the first resistivity data set in combination with a preset electrode arrangement coefficient;
and constructing the actually measured data set according to the second potential data set, the second resistivity data set and electrode arrangement coefficients corresponding to the arrangement rules of the plurality of electrodes.
According to the implementation of the preferred implementation mode of the embodiment, the arrangement rule of the electrodes is considered when the first data set is constructed, the corresponding electrode arrangement coefficient is set, the basic model is constructed in the subsequent steps, in the iterative optimization process of the model, the influence factors of the electrode arrangement are considered, the display accuracy of the three-dimensional underground pipe network ground electric model is improved, and the difference of different electrode arrangement rules is fully considered.
As one preferable aspect of the present embodiment, the first variable coefficient includes a preset attenuation scaling coefficient and an increment coefficient;
The first variable coefficient is superimposed on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model, which comprises the following concrete steps:
superposing attenuation proportional coefficients on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model;
or, stacking the increment coefficient on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model.
According to the implementation of the preferred implementation mode of the embodiment, the attenuation proportion coefficient or the increment coefficient is superimposed on the three-dimensional underground pipe network foundation model, the difference of the resistivities of different types of liquids flowing in the underground pipe is considered, the liquids with different resistivities flow in different underground pipes, different coefficients are superimposed on the corresponding three-dimensional underground pipe foundation model, and the attenuation proportion coefficient can be the increment coefficient, so that the applicability and the practicability under different application scenes are improved.
As one preferable aspect of this embodiment, the first coefficient of variation corresponds to the region to be measured.
As a preferable mode of this embodiment, the iterative optimization of the corrected three-dimensional underground pipe network ground model through the actually measured data set specifically includes:
Dividing the corrected three-dimensional underground pipe network ground model into a plurality of sphere models according to the positions of the electrodes;
respectively assigning a second variable coefficient to each sphere model one by one;
respectively carrying out a plurality of iterations on each sphere model through a plurality of measured data in the measured data set and all second variable coefficients until a preset iteration termination condition is met;
when the iteration termination condition is met, combining the sphere models to obtain an iterated three-dimensional underground pipe network ground model;
and interpreting the iterated three-dimensional underground pipe network ground model through a first interpretation model to realize iterative optimization of the revised three-dimensional underground pipe network ground model.
According to the implementation of the preferred implementation mode of the embodiment, on the basis of correcting the model, the divided sphere models are iterated and combined through the second variable coefficients, so that an iterated three-dimensional underground pipe network ground model is obtained, namely, the model is subjected to second adjustment, and each sphere model is subjected to fine adjustment according to different measured data and different second variable coefficients, so that the accuracy of the ground model is further improved.
As a preferable mode of this embodiment, the iteration termination condition is specifically:
the root mean square error between the measured data and the model parameters of the sphere model is smaller than the error limit requirement;
the model parameters of the sphere models are in a preset threshold range; the error limit requirement and the threshold range are determined according to the fluid resistivity of liquid in the underground pipe network of the region to be detected and the environment resistivity of the region to be detected; the environmental resistivity is soil resistivity or rock mass resistivity.
The preferred implementation of this embodiment is implemented by performing double verification on root mean square error and model parameters between measured data and a sphere model, determining iteration termination conditions, and when setting specific error limit requirements and threshold ranges of model parameters, considering the fluid resistivity of liquid in a subsurface pipe and the solid resistivity of soil or rock stratum in the surrounding environment (or in the range of a region to be measured) of the subsurface pipe network, so as to cover and be suitable for more application scenes.
As one preferable aspect of this embodiment, the preset time period includes a first time period and a second time period, and the extracting the change feature of the abnormal resistance body in the visualization result in the preset time period specifically includes:
Extracting the change characteristics of the abnormal resistor body in the visual result, which satisfy the following formula in a preset time period:
wherein t is 1 For a first period of time, t 2 The first time period and the second time period are adjacent time periods and have the same length, i is the number of abnormal resistance bodies,for the average change characteristics of i resistive anomalies in the first period of time,/>Is the average change characteristic of i abnormal resistance bodies in the second time period, S i+1 Is an average variation characteristic threshold and corresponds to i+1 resistive anomalies.
As one preferable of the present embodiment, the change feature is a rate of change in resistivity;
and positioning all leakage points of the underground pipe network of the region to be detected according to the extraction result and the comparison analysis result, wherein the method specifically comprises the following steps:
screening out a first resistance abnormal body; the resistivity change rate of the first resistance anomaly is greater than a preset change threshold value, and the comparison analysis result meets the requirements;
when only one first resistance abnormality exists, acquiring all sound vector signals and noise signals of the corresponding positions of the first resistance abnormality through a sensor at a first coordinate, and positioning all leakage points in the first resistance abnormality according to the sound vector signals and the noise signals;
When at least two first resistance abnormal bodies exist, collecting noise signals and sound vector signals of all the positions corresponding to the first resistance abnormal bodies through sensors at the first coordinates, and determining the second coordinates according to the average value of all the noise signals and the average value of all the sound vector signals; the first coordinates are determined according to the positions of the first resistance abnormal bodies and the arrangement modes of the plurality of electrodes;
and collecting noise signals and sound vector signals of all the first resistance abnormal bodies through the sensor at the second coordinates, and determining all leakage points according to the noise signals and the sound vector signals of all the first resistance abnormal bodies.
When only one first resistance abnormality exists, the preferred implementation mode of the embodiment is implemented, and the positions of the leakage points are further located through all sound vector signals and noise signals corresponding to the positions of the sensor collectors at the first coordinates. When at least two first resistance abnormal bodies exist, all noise signals and sound vector signals are collected through the sensors at the first coordinates, the second coordinates are further determined, and data of the sensors are adjusted through the determined second coordinates, so that more effective noise signals and sound vector signals are obtained, and all leakage points are accurately determined.
As one preferable aspect of this embodiment, after the locating all the leak points of the underground pipe network in the area to be tested, the method further includes:
acquiring the change characteristics and the core resistivity of the positioned leakage points corresponding to the abnormal resistor body and a correlation analysis table of the abnormal resistor body; the correlation analysis table comprises a correlation analysis and a relative relation between the core resistivity of the abnormal body of the leakage point corresponding to the resistance and the fluid resistivity;
when the change characteristic of the corresponding abnormal resistor body is larger than a preset characteristic threshold, and the core resistivity accords with the relative relation and the correlation analysis result, early warning information is sent to the management terminal so as to inform related personnel and enable the related personnel to check leakage points in time.
Correspondingly, the embodiment of the invention also provides a system for detecting the leakage points of the underground pipe network based on the three-dimensional high-density electrical method, which comprises an acquisition module, a model construction module, a correction module, an iteration optimization module and a positioning module; wherein, the liquid crystal display device comprises a liquid crystal display device,
the acquisition module is used for acquiring a first data set of the region to be detected by using a three-dimensional high-density electrical method; the high-density electric method instrument is connected with a plurality of electrodes, the electrodes are arranged in the region to be tested according to a preset rule, and the region to be tested is also provided with a plurality of electrode transfer switches; the first data set comprises a basic data set and a measured data set;
The model construction module is used for constructing a three-dimensional underground pipe network basic model aiming at the region to be detected through the basic data set;
the correction module is used for superposing a first variable coefficient on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model;
the iteration optimization module is used for carrying out iteration optimization on the corrected three-dimensional underground pipe network ground model through an actual measurement data set and visualizing the three-dimensional underground pipe network ground model subjected to iteration optimization;
the positioning module is used for extracting the change characteristics of the abnormal resistance body in the visual result in a preset time period, comparing and analyzing the core resistivity of the abnormal body with the fluid resistivity of the liquid in the underground pipe network of the region to be detected, and positioning all leakage points of the underground pipe network of the region to be detected according to the extraction result and the comparison and analysis result.
As one preferable mode of this embodiment, the acquisition module acquires the first data set of the area to be measured by using a three-dimensional high-density electrical method, specifically:
the acquisition module acquires a first potential data set, a first resistivity data set, a second potential data set and a second resistivity data set of the region to be detected through the high-density electrical instrument, the plurality of electrode transfer switches and the plurality of electrodes;
Constructing the basic data set according to the first potential data set and the first resistivity data set in combination with a preset electrode arrangement coefficient;
and constructing the actually measured data set according to the second potential data set, the second resistivity data set and electrode arrangement coefficients corresponding to the arrangement rules of the plurality of electrodes.
As one preferable mode of this embodiment, the iterative optimization module performs iterative optimization on the corrected three-dimensional underground pipe network ground model through an actually measured data set, specifically:
the iterative optimization module divides the corrected three-dimensional underground pipe network ground model into a plurality of sphere models according to the positions of the electrodes; wherein, each sphere model corresponds to each electrode one by one;
respectively assigning a second variable coefficient to each sphere model one by one;
respectively carrying out a plurality of iterations on each sphere model through a plurality of measured data in the measured data set and all second variable coefficients until a preset iteration termination condition is met;
when the iteration termination condition is met, combining the sphere models to obtain an iterated three-dimensional underground pipe network ground model;
and interpreting the iterated three-dimensional underground pipe network ground model through a first interpretation model to realize iterative optimization of the revised three-dimensional underground pipe network ground model.
Drawings
Fig. 1: the invention relates to a flow diagram of an embodiment of a method for detecting leakage points of a subsurface pipe network based on a three-dimensional high-density electrical method.
Fig. 2: the invention provides a schematic diagram of a result of visual display of a resistance anomaly.
Fig. 3: the invention discloses a structure schematic diagram of an embodiment of a three-dimensional high-density electrical method-based underground pipe network leakage point detection system.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
according to the description of the related art, the existing detection technology of water leakage of the underground pipe network mainly comprises three types: temperature sensor, water pressure detector and machine vision technique. Wherein, temperature sensor and water pressure detector's application is comparatively extensive.
For the temperature sensor, when the underground pipe network has the condition of water leakage, the leaked water can possibly cause the soil temperature near the underground pipe network to generate certain fluctuation, and further, the temperature curve measured by the temperature sensor near the leakage point can generate jump, so that a data peak appears. However, in practical applications, for a pipe with small water flow, the water yield may be very small, the temperature change is very small, and in some cases, the water temperature is very close to the soil temperature (such as in soil with a specific depth) of the pipe, and the data peak may not reach the set early warning threshold or trigger threshold, so that the leakage point is very difficult to detect by the method, and the detection accuracy is low.
Aiming at the detection method relying on the water pressure detector, the pressure value needs to be set at a plurality of branches of the underground pipe network, and the water pressure of the corresponding branch of the pipe network changes within a time period so as to determine whether water leakage exists. The problem with this method is that in some cases, since the water pressure detector is aimed at the inside of the pipeline, and in the actual application scenario, the water input amount and input speed of many pipelines are all at the maximum value that the pipeline can be loaded, that is, the water pressure is at the maximum value, at this time, even if the water pipe has small leakage or cracks, the water pressure in the pipeline will not change basically under the condition of small leakage amount, and the detection omission is easy to happen under the condition.
For the implementation mode adopting the machine vision and image processing technology, the infrared and visible light fusion detection method is mainly adopted at present, and although the advantages of an infrared image and a visible light image are combined, the defect is obvious, that is, the environment of a pipeline is complex, the internal illumination condition is severe, a large amount of interference and shielding conditions exist, and in order to solve the problems, the existing technology can set a monitoring trolley carrying a visible light or infrared camera to collect the interior, and although the accuracy can be improved to a certain extent, the false detection rate can be reduced, but the problems related to light cannot be completely eradicated.
Referring to fig. 1, fig. 1 is a schematic diagram illustrating a method for detecting leakage points of a subsurface pipe network based on a three-dimensional high-density electrical method according to an embodiment of the present invention, including steps S101 to S105; wherein, the liquid crystal display device comprises a liquid crystal display device,
step S101, a first data set of a region to be detected is acquired by using a three-dimensional high-density electrical method; the high-density electric method instrument is connected with a plurality of electrodes, the electrodes are arranged in the region to be tested according to a preset rule, and the region to be tested is also provided with a plurality of electrode transfer switches; the first data set includes a base data set and a measured data set.
In the present embodiment, the high density electrical method refers to a direct current high density resistivity method, and the basic principle thereof is similar to that of the conventional resistivity method. In contrast, the high density resistance method is used as an array exploration method, and relatively high measuring points (electrodes) are arranged in a region to be measured. When the area to be measured is measured, the electrodes are required to be arranged according to a preset rule, and the embodiment can adopt an area type network arrangement mode, so that compared with the linear electrode arrangement in the prior art, the three-dimensional and richer electric signals can be received, and the three-dimensional and richer electric signals have smaller errors and higher resolution. Specifically, the region to be measured is provided with a high-density electrical instrument, the high-density electrical instrument is connected with a plurality of electrodes, and the region to be measured is also provided with a plurality of program-controlled electrode change-over switches.
Collecting a first potential data set, a first resistivity data set, a second potential data set and a second resistivity data set of the region to be measured through the high-density electrical instrument, the plurality of electrode transfer switches and the plurality of electrodes;
constructing the basic data set according to the first potential data set and the first resistivity data set in combination with a preset electrode arrangement coefficient;
and constructing the actually measured data set according to the second potential data set, the second resistivity data set and electrode arrangement coefficients corresponding to the arrangement rules of the plurality of electrodes.
When the first data set is constructed, the arrangement rule of the electrodes is considered, the corresponding electrode arrangement coefficients are set, a basic model is constructed in the step S102, and the corrected three-dimensional underground pipe network ground model is subjected to iterative optimization in the step S104, so that the influence of the electrode arrangement is considered, the accuracy of the model visualization is improved, and the difference of different arrangement modes is fully considered. The preset electrode arrangement coefficient may be a typical electrode arrangement coefficient, and the electrode arrangement coefficients corresponding to the arrangement rules of the plurality of electrodes may be calculated according to actual arrangement conditions or determined by empirical values; the first potential data set may be the same as or different from the second potential data set, and the first resistivity data set may be the same as or different from the second resistivity data set.
Step S102, constructing a three-dimensional underground pipe network basic model aiming at the region to be detected through the basic data set.
As an implementation manner in this embodiment, the constructed three-dimensional underground pipe network model may refer to the idea of a finite difference method, that is, a cuboid stratum structure corresponding to a region to be solved (three-dimensional space), that is, a region to be solved, and divide the cuboid stratum structure into a plurality of units in a cuboid shape, or perform grid division. And in forward operation, the potential of the abnormal resistor is U1, and the normal potential of the uniform soil or rock stratum in the area is U2, so that the actual electric field U is the superposition of the two, namely { U } = { U1} + { U2}. It should be noted that, all three electric fields may be expressed as potential functions, that is, three dimensions of x, y, and z axes need to be considered.
As another implementation manner of this embodiment, a plurality of nodes may be set based on line information of the pipe network system, where the nodes include at least one source node and at least one terminal node or destination node, and a path or a branch is formed between the connected nodes. And constructing a mathematical model aiming at the underground pipe network of the region to be detected through a search tree according to the line and node information of the pipe network. And on the basis of the mathematical model, constructing a three-dimensional underground pipe network basic model of the region to be detected by taking the minimum continuous set as a unit and combining a basic data set acquired by a three-dimensional high-density electrical method. It should be noted that the two embodiments have advantages, and the difference between the path constructed in this step and the path iterated in the subsequent steps is mainly the difference.
And step S103, superposing a first variable coefficient on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model.
The first variable coefficient comprises a preset attenuation proportional coefficient and an increment coefficient, and corresponds to the region to be detected.
In this embodiment, a first variable coefficient is superimposed on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model, which specifically includes:
superposing attenuation proportional coefficients on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model;
or, stacking the increment coefficient on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model.
In practical application scenarios, the underground pipe network may include a pipe network for heat supply, a pipe network for cold supply, a tap water pipe network, a sewage pipe network, and the like. Therefore, the types of liquid resources flowing in the pipe are different, different liquid types are adopted, and the possible doping situation of the liquid is considered, the attenuation proportional coefficient or the increment coefficient is correspondingly overlapped on the model, and the specific attenuation proportional coefficient or the increment coefficient is determined according to the resistivity of the environment (such as soil, rock stratum and the like) where the pipe network is positioned and is combined with the resistivity of the liquid flowing in the pipe, so that the applicability and the practicability in different application scenes can be improved.
Step S104, carrying out iterative optimization on the corrected three-dimensional underground pipe network ground model through an actual measurement data set, and visualizing the three-dimensional underground pipe network ground model subjected to iterative optimization.
In this embodiment, the corrected three-dimensional underground pipe network ground model is iteratively optimized through the actually measured data set, which specifically includes:
dividing the corrected three-dimensional underground pipe network ground model into a plurality of sphere models according to the positions of the electrodes;
respectively assigning a second variable coefficient to each sphere model one by one;
respectively carrying out a plurality of iterations on each sphere model through a plurality of measured data in the measured data set and all second variable coefficients until a preset iteration termination condition is met;
when the iteration termination condition is met, combining the sphere models to obtain an iterated three-dimensional underground pipe network ground model;
and interpreting the iterated three-dimensional underground pipe network ground model through a first interpretation model to realize iterative optimization of the revised three-dimensional underground pipe network ground model.
According to the implementation of the preferred embodiment, on the basis of the corrected model, the divided sphere models are iterated and combined through the second variable coefficient, so that an iterated three-dimensional underground pipe network ground model is obtained, namely, the model is subjected to secondary adjustment, the secondary adjustment is compared with fine adjustment of the primary adjustment (the primary adjustment is global adjustment for the underground pipe network and liquid resources in the underground pipe network, the secondary adjustment is local fine adjustment divided into the sphere models, and therefore both local and global potential information of the underground pipe network can be considered, and meanwhile potential information of the liquid resources is also included), and accuracy of the ground model can be further improved for each local part (each sphere model) of the ground model.
Further, the iteration termination condition is specifically:
the root mean square error between the measured data and the model parameters of the sphere model is smaller than the error limit requirement;
the model parameters of the sphere models are in a preset threshold range; the error limit requirement and the threshold range are determined according to the fluid resistivity of liquid in the underground pipe network of the region to be detected and the environment resistivity of the region to be detected; the environmental resistivity is soil resistivity or rock mass resistivity.
It should be noted that the sphere model is also a kind of ground model, and its model parameters may reflect the potential information and the resistivity information of the region to be measured. According to the method, the iteration termination condition is determined through double verification of root mean square errors and model parameters between measured data and a sphere model, and when specific error limit requirements and threshold ranges of the model parameters are set, the fluid resistivity of liquid in a subsurface pipe and the solid resistivity of soil or rock stratum in the surrounding environment (or in a region to be measured) of the subsurface pipe network are considered, so that the method can be further covered and is suitable for more application scenes.
In this embodiment, the visual display manner may include, but is not limited to: plan view, sectional view, pseudo-sectional view, ground electric sectional view, etc. By performing visual display on the three-dimensional underground pipe network ground model subjected to iterative optimization, relevant personnel can observe the abnormal resistor in the visual result more intuitively, a specific example can be seen from fig. 2, the first abnormal resistor is high-core resistivity, the second abnormal resistor is low-core resistivity, the abnormal resistor information is determined, and the relevant personnel can conveniently and rapidly develop and examine the abnormal resistor.
And step 105, extracting the change characteristics of the abnormal body in the visual result in a preset time period, comparing the core resistivity of the abnormal body with the fluid resistivity of the liquid in the underground pipe network of the region to be detected, and positioning all leakage points of the underground pipe network of the region to be detected according to the extraction result and the comparison analysis result.
As a preferred embodiment, the preset time period includes a first time period and a second time period, and the characteristic (change characteristics) of the change of the abnormal resistance body in the visual result is extracted within the preset time period, specifically:
extracting the change characteristics of the abnormal resistor body in the visual result, which satisfy the following formula in a preset time period:
wherein t is 1 For a first period of time, t 2 The first time period and the second time period are adjacent time periods and have the same length, i is the number of abnormal resistance bodies,for the average change characteristics of i resistive anomalies in the first period of time,/>Is the average change characteristic of i abnormal resistance bodies in the second time period, S i+1 Is an average variation characteristic threshold and corresponds to i+1 resistive anomalies.
In this embodiment, the change feature may be a change rate or a change rate of the resistivity of the abnormal resistive element, and by comparing the first time period with the second time period, the average change feature in the preset time period is extracted, so that the validity of the change feature and the proportion occupied by the valid feature may be increased, and on the other hand, by setting the feature extraction mechanism, the misjudgment probability may be greatly reduced.
Further, the core resistivity of the abnormal body is compared with the fluid resistivity of the liquid in the underground pipe network of the area to be detected, and all the leakage points of the underground pipe network of the area to be detected are positioned according to the extraction result and the comparison result. As another example of this embodiment, it may be determined whether to leak the earth model by manually based on experience of the related person, so as to determine specific location information of the leak.
As a preferred embodiment, the change is characterized by a rate of change of resistivity;
and positioning all leakage points of the underground pipe network of the region to be detected according to the extraction result and the comparison analysis result, wherein the method specifically comprises the following steps:
screening out a first resistance abnormal body; the resistivity change rate of the first resistance anomaly is greater than a preset change threshold value, and the comparison analysis result meets the requirements;
when only one first resistance abnormality exists, acquiring all sound vector signals and noise signals of the corresponding positions of the first resistance abnormality through a sensor at a first coordinate, and positioning all leakage points in the first resistance abnormality according to the sound vector signals and the noise signals;
When at least two first resistance abnormal bodies exist, collecting noise signals and sound vector signals of all the positions corresponding to the first resistance abnormal bodies through sensors at the first coordinates, and determining the second coordinates according to the average value of all the noise signals and the average value of all the sound vector signals; the first coordinates are determined according to the positions of the first resistance abnormal bodies and the arrangement modes of the plurality of electrodes;
and collecting noise signals and sound vector signals of all the first resistance abnormal bodies through the sensor at the second coordinates, and determining all leakage points according to the noise signals and the sound vector signals of all the first resistance abnormal bodies. In this preferred mode, the sensor may include a sound vector sensor and a noise sensor, the direction of the leak point relative to the sensor location is determined based on the line connecting the sound vector signal and the sensor location, and the distance of the leak point relative to the sensor location is determined based on the noise signal, so as to locate the specific location of the leak point. When only one first resistance abnormal body exists, the positions of the leakage points are located through all sound vector signals and noise signals of the corresponding positions of the sensor collectors at the first coordinates. When at least two first resistance abnormal bodies exist, all noise signals and sound vector signals are collected through the sensors at the first coordinates, the second coordinates are further determined, and then data of the sensors are adjusted through the determined second coordinates, so that more effective noise signals and sound vector signals are obtained, all leakage points are accurately determined, and the positioning accuracy is higher than that of the prior art. In addition, suitable coordinates are set, for example, according to the arrangement rule of the electrodes, so that on the one hand, interference of the measurement data of the sensor by the electrodes can be avoided, and on the other hand, noise signals and sound vector signals can be acquired more conveniently.
Still further, an early warning mechanism may be set, and after locating all the leakage points of the underground pipe network in the area to be detected, the method further includes:
acquiring the change characteristics and the core resistivity of the positioned leakage points corresponding to the abnormal resistor body and a correlation analysis table of the abnormal resistor body; the correlation analysis table comprises a correlation analysis and a relative relation between the core resistivity of the abnormal body of the leakage point corresponding to the resistance and the fluid resistivity;
when the change characteristic of the corresponding abnormal resistor body is larger than a preset characteristic threshold, and the core resistivity accords with the relative relation and the correlation analysis result, early warning information is sent to the management terminal so as to inform related personnel and enable the related personnel to check leakage points in time.
Correspondingly, referring to fig. 3, the embodiment of the invention also provides a system for detecting leakage points of a subsurface pipe network based on a three-dimensional high-density electrical method, which comprises an acquisition module 201, a model construction module 202, a correction module 203, an iterative optimization module 204 and a positioning module 205; wherein, the liquid crystal display device comprises a liquid crystal display device,
the acquisition module 201 is configured to acquire a first data set of a region to be detected by using a three-dimensional high-density electrical method; the high-density electric method instrument is connected with a plurality of electrodes, the electrodes are arranged in the region to be tested according to a preset rule, and the region to be tested is also provided with a plurality of electrode transfer switches; the first data set comprises a basic data set and a measured data set;
The model construction module 202 is configured to construct a three-dimensional underground pipe network base model for the region to be tested according to the base data set;
the correction module 203 is configured to superimpose a first variable coefficient on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model;
the iterative optimization module 204 is configured to perform iterative optimization on the corrected three-dimensional underground pipe network ground model through an actual measurement data set, and visualize the three-dimensional underground pipe network ground model subjected to iterative optimization;
the positioning module 205 is configured to extract a change characteristic of a resistive anomaly in a visualization result within a preset time period, compare and analyze a core resistivity of the anomaly with a fluid resistivity of a liquid in the underground pipe network of the area to be detected, and position all leakage points of the underground pipe network of the area to be detected according to the extraction result and the comparison and analysis result.
As a preferred implementation manner of this embodiment, the acquisition module 201 acquires the first data set of the area to be measured by using a three-dimensional high-density electrical method, specifically:
the acquisition module 201 acquires a first potential data set, a first resistivity data set, a second potential data set and a second resistivity data set of the region to be measured through the high-density electrical method instrument, the plurality of electrode transfer switches and the plurality of electrodes;
Constructing the basic data set according to the first potential data set and the first resistivity data set in combination with a preset electrode arrangement coefficient;
and constructing the actually measured data set according to the second potential data set, the second resistivity data set and electrode arrangement coefficients corresponding to the arrangement rules of the plurality of electrodes.
As a preferred implementation manner of this embodiment, the iterative optimization module 204 performs iterative optimization on the corrected three-dimensional underground pipe network ground model through an actually measured data set, specifically:
the iterative optimization module 204 divides the corrected three-dimensional underground pipe network ground model into a plurality of sphere models according to the positions of the electrodes; wherein, each sphere model corresponds to each electrode one by one;
respectively assigning a second variable coefficient to each sphere model one by one;
respectively carrying out a plurality of iterations on each sphere model through a plurality of measured data in the measured data set and all second variable coefficients until a preset iteration termination condition is met;
when the iteration termination condition is met, combining the sphere models to obtain an iterated three-dimensional underground pipe network ground model;
And interpreting the iterated three-dimensional underground pipe network ground model through a first interpretation model to realize iterative optimization of the revised three-dimensional underground pipe network ground model.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides a method and a system for detecting leakage points of a underground pipe network based on a three-dimensional high-density electrical method, wherein the method comprises the following steps: collecting a first data set of a region to be detected by using a three-dimensional high-density electrical method; the high-density electric method instrument is connected with a plurality of electrodes, the electrodes are arranged in the region to be tested according to a preset rule, and the region to be tested is also provided with a plurality of electrode transfer switches; the first data set comprises a basic data set and a measured data set; constructing a three-dimensional underground pipe network basic model aiming at the region to be detected through the basic data set; superposing a first variable coefficient on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model; performing iterative optimization on the corrected three-dimensional underground pipe network ground model through an actual measurement data set, and visualizing the three-dimensional underground pipe network ground model subjected to iterative optimization; and extracting the change characteristics of the abnormal resistance body in the visual result in a preset time period, comparing and analyzing the core resistivity of the abnormal body with the fluid resistivity of the liquid in the underground pipe network of the region to be detected, and positioning all leakage points of the underground pipe network of the region to be detected according to the extraction result and the comparison and analysis result. According to the embodiment of the application, the three-dimensional underground pipe network basic model is constructed through the data set of the three-dimensional high-density electric method acquisition area, after the model is corrected and iterated and optimized, the abnormal resistance in the model is visualized and determined, compared with the technical scheme that a temperature sensor is adopted in the prior art, the embodiment of the invention detects based on the resistivity, and even if the resistivity of liquid is influenced by temperature, the difference between the change of the resistivity of the liquid and the resistivity of soil or rock stratum is very small, so that the resistivity of the liquid is higher in sensitivity and higher in accuracy. In addition, when water leakage occurs, the flow speed of water flow and current is faster than the conduction speed of temperature in various environments such as underground soil, strata and the like, and the detection mode based on the three-dimensional high-density electric method has higher response speed due to the fact that the conduction of temperature in the soil strata is considered to have higher delay. And the three-dimensional underground pipe network ground electric model subjected to iterative optimization is visualized, and the core resistivity and the fluid resistivity of the liquid are compared and analyzed through the change characteristics of the abnormal resistor body in a preset time period, so that the misjudgment rate of the detection process is further reduced and the overhaul and maintenance cost is effectively reduced while the core resistivity and the fluid resistivity of the liquid are displayed and verified for related personnel.
The foregoing embodiments have been provided for the purpose of illustrating the general principles of the present invention, and are not to be construed as limiting the scope of the invention. It should be noted that any modifications, equivalent substitutions, improvements, etc. made by those skilled in the art without departing from the spirit and principles of the present invention are intended to be included in the scope of the present invention.
Claims (6)
1. The method for detecting the leakage point of the underground pipe network based on the three-dimensional high-density electrical method is characterized by comprising the following steps of:
collecting a first data set of a region to be detected by using a three-dimensional high-density electrical method; the high-density electric method instrument is connected with a plurality of electrodes, the electrodes are arranged in the region to be tested according to a preset rule, and the region to be tested is also provided with a plurality of electrode transfer switches; the first data set comprises a basic data set and a measured data set;
constructing a three-dimensional underground pipe network basic model aiming at the region to be detected through the basic data set;
superposing a first variable coefficient on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model;
Performing iterative optimization on the corrected three-dimensional underground pipe network ground model through an actual measurement data set, and visualizing the three-dimensional underground pipe network ground model subjected to iterative optimization;
extracting the change characteristics of the abnormal resistance body in the visual result in a preset time period, comparing and analyzing the core resistivity of the abnormal body with the fluid resistivity of the liquid in the underground pipe network of the region to be detected, and positioning all leakage points of the underground pipe network of the region to be detected according to the extraction result and the comparison and analysis result;
the first variable coefficient comprises a preset attenuation proportional coefficient and an increment coefficient; the first variable coefficient is superimposed on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model, which comprises the following concrete steps: superposing attenuation proportional coefficients on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model; or, stacking an increment coefficient on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model;
wherein the first variable coefficient corresponds to the region to be measured;
the method comprises the steps of carrying out iterative optimization on the corrected three-dimensional underground pipe network ground model through an actual measurement data set, wherein the method specifically comprises the following steps: dividing the corrected three-dimensional underground pipe network ground model into a plurality of sphere models according to the positions of the electrodes; respectively assigning a second variable coefficient to each sphere model one by one; respectively carrying out a plurality of iterations on each sphere model through a plurality of measured data in the measured data set and all second variable coefficients until a preset iteration termination condition is met; when the iteration termination condition is met, combining the sphere models to obtain an iterated three-dimensional underground pipe network ground model; and interpreting the iterated three-dimensional underground pipe network ground model through a first interpretation model to realize iterative optimization of the revised three-dimensional underground pipe network ground model.
2. The method for detecting leakage points of a subsurface pipe network based on a three-dimensional high-density electrical method as claimed in claim 1, wherein the method for acquiring the first data set of the area to be detected by using the three-dimensional high-density electrical method is specifically as follows:
collecting a first potential data set, a first resistivity data set, a second potential data set and a second resistivity data set of the region to be measured through the high-density electrical instrument, the plurality of electrode transfer switches and the plurality of electrodes;
constructing the basic data set according to the first potential data set and the first resistivity data set in combination with a preset electrode arrangement coefficient;
and constructing the actually measured data set according to the second potential data set, the second resistivity data set and electrode arrangement coefficients corresponding to the arrangement rules of the plurality of electrodes.
3. The method for detecting the leakage point of the underground pipe network based on the three-dimensional high-density electrical method as claimed in claim 1, wherein the iteration termination condition is specifically as follows:
the root mean square error between the measured data and the model parameters of the sphere model is smaller than the error limit requirement;
the model parameters of the sphere models are in a preset threshold range; the error limit requirement and the threshold range are determined according to the fluid resistivity of liquid in the underground pipe network of the region to be detected and the environment resistivity of the region to be detected; the environmental resistivity is soil resistivity or rock mass resistivity.
4. A method for detecting a leak in a subterranean pipe network based on three-dimensional high density electrical method according to claim 1, wherein the change characteristic is a rate of change of resistivity;
and positioning all leakage points of the underground pipe network of the region to be detected according to the extraction result and the comparison analysis result, wherein the method specifically comprises the following steps:
screening out a first resistance abnormal body; the resistivity change rate of the first resistance anomaly is greater than a preset change threshold value, and the comparison analysis result meets the requirements;
when only one first resistance abnormality exists, acquiring all sound vector signals and noise signals of the corresponding positions of the first resistance abnormality through a sensor at a first coordinate, and positioning all leakage points in the first resistance abnormality according to the sound vector signals and the noise signals;
when at least two first resistance abnormal bodies exist, collecting noise signals and sound vector signals of all the positions corresponding to the first resistance abnormal bodies through sensors at the first coordinates, and determining the second coordinates according to the average value of all the noise signals and the average value of all the sound vector signals; the first coordinates are determined according to the positions of the first resistance abnormal bodies and the arrangement modes of the plurality of electrodes;
And collecting noise signals and sound vector signals of all the first resistance abnormal bodies through the sensor at the second coordinates, and determining all leakage points according to the noise signals and the sound vector signals of all the first resistance abnormal bodies.
5. The underground pipe network leakage point detection system based on the three-dimensional high-density electrical method is characterized by comprising an acquisition module, a model construction module, a correction module, an iterative optimization module and a positioning module; wherein, the liquid crystal display device comprises a liquid crystal display device,
the acquisition module is used for acquiring a first data set of the region to be detected by using a three-dimensional high-density electrical method; the high-density electric method instrument is connected with a plurality of electrodes, the electrodes are arranged in the region to be tested according to a preset rule, and the region to be tested is also provided with a plurality of electrode transfer switches; the first data set comprises a basic data set and a measured data set;
the model construction module is used for constructing a three-dimensional underground pipe network basic model aiming at the region to be detected through the basic data set;
the correction module is used for superposing a first variable coefficient on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model;
The iteration optimization module is used for carrying out iteration optimization on the corrected three-dimensional underground pipe network ground model through an actual measurement data set and visualizing the three-dimensional underground pipe network ground model subjected to iteration optimization;
the positioning module is used for extracting the change characteristics of the abnormal resistance body in the visual result in a preset time period, comparing and analyzing the core resistivity of the abnormal body with the fluid resistivity of the liquid in the underground pipe network of the region to be detected, and positioning all leakage points of the underground pipe network of the region to be detected according to the extraction result and the comparison and analysis result;
the first variable coefficient comprises a preset attenuation proportional coefficient and an increment coefficient; the first variable coefficient is superimposed on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model, which comprises the following concrete steps: superposing attenuation proportional coefficients on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model; or, stacking an increment coefficient on the three-dimensional underground pipe network basic model to obtain a corrected three-dimensional underground pipe network ground model;
wherein the first variable coefficient corresponds to the region to be measured;
The iteration optimization module carries out iteration optimization on the corrected three-dimensional underground pipe network ground model through an actual measurement data set, and specifically comprises the following steps: the iterative optimization module divides the corrected three-dimensional underground pipe network ground model into a plurality of sphere models according to the positions of the electrodes; wherein, each sphere model corresponds to each electrode one by one; respectively assigning a second variable coefficient to each sphere model one by one; respectively carrying out a plurality of iterations on each sphere model through a plurality of measured data in the measured data set and all second variable coefficients until a preset iteration termination condition is met; when the iteration termination condition is met, combining the sphere models to obtain an iterated three-dimensional underground pipe network ground model; and interpreting the iterated three-dimensional underground pipe network ground model through a first interpretation model to realize iterative optimization of the revised three-dimensional underground pipe network ground model.
6. The underground pipe network leakage point detection system based on the three-dimensional high-density electrical method according to claim 5, wherein the acquisition module acquires a first data set of the area to be detected by using the three-dimensional high-density electrical method, specifically:
The acquisition module acquires a first potential data set, a first resistivity data set, a second potential data set and a second resistivity data set of the region to be detected through the high-density electrical instrument, the plurality of electrode transfer switches and the plurality of electrodes;
constructing the basic data set according to the first potential data set and the first resistivity data set in combination with a preset electrode arrangement coefficient;
and constructing the actually measured data set according to the second potential data set, the second resistivity data set and electrode arrangement coefficients corresponding to the arrangement rules of the plurality of electrodes.
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