CN115356051A - Dam leakage monitoring system and method and electronic equipment - Google Patents
Dam leakage monitoring system and method and electronic equipment Download PDFInfo
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Abstract
The application relates to a dam leakage monitoring system, which comprises a detection module and a cloud platform; the detection module is used for monitoring the resistivity of the section of the dam body in real time through the buried electrodes; the cloud platform is used for converting the acquired dam body section resistivity into the dam body section water content and carrying out early warning when the dam body section water content meets preset early warning conditions. The dam body section resistivity is monitored in real time in a mode of burying electrodes in the dam body, the landfill depth and the electrode spacing are controlled to improve the real-time performance and accuracy of detection data, collected data are uploaded to a cloud platform to convert the dam body section resistivity into the dam body section water content, dam leakage detection is judged according to the dam body section water content and early warning is carried out, the leakage measurement mode is simple and easy to operate, and dam leakage measurement can be conveniently and rapidly achieved.
Description
Technical Field
The application relates to the technical field of hydraulic engineering safety monitoring, in particular to a dam leakage monitoring system and method and electronic equipment.
Background
With the rapid development of major foundation engineering construction such as national water conservancy and hydropower engineering and the like, the number of reservoir dams in China is in the leading position in the world. But due to the long construction period, the raw materials and tools adopted in the construction period and the limited technological level; many dam reservoirs have major hidden dangers such as cracks, loose soil bodies, weak interlayers and ant holes, so that the reservoir forms a dangerous dam reservoir, and therefore, the timely detection of the hidden dangers of the dams becomes a key work in flood control engineering.
At present, the conventional detection scheme of hidden dam danger is mostly carried out on land, and the main common schemes comprise a high-density resistivity method and a geological radar measurement method. The high-density resistivity method needs to place a large number of electrodes on each measuring point of an observation profile, and then uses a program-controlled electrode conversion device and a micro-computer engineering electrical measuring instrument to realize data acquisition and processing, and the method needs to test the profile on site at different periods and cannot ensure the accuracy of the position consistency of the profile when the profile is not tested in time; geological radar measuring device's is bulky, and heavy operation is inconvenient to there are many resolutions and the uncertain defect of target body direction in geological radar's measuring result, need for a simple structure high efficiency, but real-time early warning's online dykes and dams seepage monitoring system urgent.
Disclosure of Invention
In order to improve convenience of dam leakage measurement, the application provides a dam leakage online monitoring system, a dam leakage online monitoring method and electronic equipment.
In a first aspect of the present application, an online real-time monitoring system for dam leakage is provided, which adopts the following technical scheme: the system comprises a detection module and a cloud platform; wherein the content of the first and second substances,
the detection module is used for monitoring the resistivity of the section of the dam body in real time through the buried electrode;
the cloud platform is used for converting the acquired dam section resistivity into dam section water content and carrying out early warning when the dam section water content meets preset early warning conditions.
By adopting the technical scheme, the dam profile resistivity can be monitored in real time only by burying the electrodes in the dam, the data collected by the detection module is uploaded to the cloud platform to convert the dam profile resistivity into the dam profile moisture content, dam leakage detection can be judged according to the dam profile moisture content and early warning is carried out, the leakage measurement mode is simple and easy to operate, and dam leakage measurement can be conveniently and quickly realized.
Optionally, the detection module includes an acquisition unit and an electrode cable, the acquisition unit and the electrode cable are all buried inside the dam body, and are a plurality of the acquisition unit with the electrode cable constitutes the survey line, connect through the electrode cable between the acquisition unit, the electrode interval of electrode cable is for predetermineeing the interval, and the monitoring interval is for predetermineeing the interval.
By adopting the technical scheme, the collection units and the electrode cables which are buried in the dam body can effectively collect the section resistivity of the dam body, and the uniformity and the resolution of the measured data are ensured by controlling the electrode spacing.
Optionally, the embedding depth of the collecting unit and the electrode cable is a preset depth.
By adopting the technical scheme, the landfill depth of the collecting unit and the electrode cable is controlled, the accuracy of measuring the voltage drop and the current between electrodes in the dam profile is improved, and the accuracy of measuring the resistivity of the dam profile is further improved.
Optionally, the preset early warning condition includes that the water content of the dam body section exceeds the liquid limit water content of the dam soil sample.
By adopting the technical scheme, the liquid limit water content of the dam soil sample can be directly judged through the section water content converted from the section resistivity of the dam body, and the speed of judging the early warning information can be increased.
Optionally, the preset early warning condition further includes that the change of the moisture content of the dam body profile exceeds 10% after two adjacent measurements.
By adopting the technical scheme, the change degree of the water content of the dam body section measured twice is determined, namely whether the water content increase exceeds 10%, a comparison result can be quickly obtained, and the speed of judging the early warning information can be effectively increased.
Optionally, the dam profile resistivity is converted into the dam profile water content, and specifically:
the corresponding relation formula constructed by the multivariate fitting model is as follows: ρ = a × n x ×ω y Rho is the dam section resistivity, omega is the dam section water content, and n is the soil sample porosity.
By adopting the technical scheme, the corresponding water content can be directly obtained through the resistivity according to the formula, the requirement for measuring the water content is saved, and the dam leakage detection efficiency is improved.
Optionally, the detection module includes a GPS positioning unit, and the GPS positioning unit is configured to determine a position of the dam when the water content of the dam profile changes suddenly.
By adopting the technical scheme, the dam with the dam leakage early warning function can be directly displayed in the cloud platform or the client by arranging the GPS positioning unit, the step of searching the position of the dam is omitted, and the efficiency of the dam leakage early warning is improved.
Optionally, the electrodes of the electrode cable are of a spherical design.
By adopting the technical scheme, the contact area of the electrode and the soil is increased, and the measurement accuracy of the section resistivity of the dam body is improved.
In a second aspect of the present application, a dam leakage detection early warning method is provided, which includes the following steps:
the detection module measures a dam soil profile resistivity profile to obtain real-time dam profile resistivity data;
the dam section resistivity is converted into the dam section water content by the cloud platform, and whether the early warning signal is triggered or not is judged according to the dam section water content section converted from the dam section resistivity detected in real time.
By adopting the technical scheme, the water content of the dam profile can be synchronously converted on the cloud platform by only acquiring the resistivity of the dam profile in real time, and early warning and judgment are carried out, so that the dam leakage measurement mode is simplified, and the efficiency of dam leakage on-line monitoring and early warning is improved.
In a third aspect of the present application, there is provided an electronic device comprising a processor, a memory for storing instructions for implementing a dam leak detection early warning method, and a transceiver for communicating with other devices, the processor being configured to execute the instructions stored in the memory.
By adopting the technical scheme, the instruction can be quickly read, and the response speed of the electronic equipment for sending out the early warning signal when the preset early warning condition is met is improved.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the dam body section resistivity is monitored in real time in a mode of burying electrodes in a dam body, the burying depth and the electrode spacing are controlled to improve the uniformity and accuracy of detection data, collected data are uploaded to a cloud platform to convert the dam body section resistivity into the dam body section water content, dam leakage detection can be judged according to the dam body section water content and early warning can be carried out, the leakage measurement mode is simple and easy to operate, and dam leakage measurement can be conveniently realized;
2. and the structure of the dam leakage detection system is further simplified by constructing a multivariate fitting model to obtain the correlation between the resistivity and the water content.
Drawings
Fig. 1 is a schematic structural diagram of a dam leakage detection system according to an embodiment of the present application;
FIG. 2 is a line layout of a dike according to an embodiment of the present application;
FIG. 3 is a schematic structural diagram of a detection module according to an embodiment of the present application;
FIG. 4 is a three-dimensional distribution of data points and a fitted function of soil sample resistivity, water content, and porosity;
fig. 5 is a schematic flow chart of a dam leakage detection early warning method according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of the electronic device of the present embodiment.
Description of reference numerals: 1. a detection module; 11. a collection unit; 12. an electrode cable; 121. a spherical electrode; 13. a GPS positioning unit; 2. a cloud platform; 3. an electronic device; 31. a processor; 32. a communication bus; 33. a user interface; 34. a network interface; 35. a memory.
Detailed Description
The present application is described in further detail below with reference to figures 1-6.
Before describing embodiments of the present invention, some terms referred to in the embodiments of the present invention will be defined and explained.
Soil sample three-phase substance: refers to solid particles, water and gas.
Undisturbed soil, namely soil sample which does not disturb, does not change physical components and chemical components and relatively keeps a natural structure and natural water content. The method is used for measuring the physical and mechanical properties of the natural soil, such as the weight, the natural water content, the permeability coefficient, the compression coefficient, the shear strength and the like.
Liquid limit water content: the boundary water content of the cohesive soil between the plastic state and the flowing state, namely the upper limit water content of the plastic state, is expressed by omega L and is calculated by percentage. When the water content of the soil is increased to exceed the liquid limit, the soil is converted from a plastic state to a flowing state, and the soil particles have almost no binding force.
In this embodiment, the liquid limit water content and the correlation between the water content and the resistivity of the soil sample of the dam are obtained through experiments on the soil sample of the dam to be monitored.
The embodiment of the application discloses a dam leakage detection system, which comprises a detection module 1 and a cloud platform 2; wherein, the first and the second end of the pipe are connected with each other,
the detection module 1 is used for monitoring the resistivity of the section of the dam body in real time through the buried electrode;
the cloud platform 2 is used for converting the acquired dam body section resistivity into dam body section water content and carrying out early warning when the dam body section water content meets preset early warning conditions.
Referring to fig. 1, the detection module 1 includes an acquisition unit 11, an electrode cable 12, and a GPS positioning unit 13, and simultaneously performs data transmission with the cloud platform 2. The acquisition unit 11 and the electrode cable 12 in the detection module 1 are buried in the dam body, the resistivity of the section of the dam body can be monitored in real time in a mode of the buried electrode, data acquired by the detection module 1 are uploaded to the cloud platform 2 to be converted into the moisture content of the section of the dam body, then dam leakage detection can be judged according to the moisture content of the section of the dam body, early warning is carried out, the leakage measurement mode is simple and easy to operate, and dam leakage measurement can be conveniently and rapidly realized.
Referring to fig. 2, in the present embodiment, specifically, each spherical electrode 121 serves as a measurement point, and a plurality of collecting units 11 and electrode cables 12 form a measurement line, as shown in fig. 2, 5 measurement lines (a measurement line, b measurement line, c measurement line, d measurement line, e measurement line in fig. 2) may be disposed inside the dam and arranged along the extending direction of the dam body, and the collecting units 11 are connected to the electrode cables 12, so that multi-channel measurement and simultaneous one-time measurement of data of a plurality of points may be achieved; in this embodiment, specifically, the measurement lines are straight lines, and a plurality of measurement lines are parallel to each other, so that the measured data can be fused in a spatial domain conveniently; meanwhile, the acquisition unit 11 can monitor in a timing mode, a real-time mode or a triggering mode, and energy consumption can be saved.
In this embodiment, detection module 1 is provided with GPS positioning unit 13 and camera, and when this system was installed to a plurality of dykes and dams, acquisition unit 11 sent the multiunit dam section resistivity of gathering to cloud platform 2 to carry out data classification according to the positional information that different dam GPS positioning unit 13 sent, carry out the operation that dam section resistivity converts into dam section moisture content after accomplishing data classification and storage, carry out the early warning to the dykes and dams that satisfy preset early warning condition after cloud platform 2 reachs the calculated result. The system can quickly determine the position of the dam body when the section water content of the dam body changes suddenly according to the GPS positioning unit 13, and the camera is mainly used for inspection and monitoring of the monitoring environment so as to avoid artificial damage to the monitoring system.
In one example, when the calculation result meets a preset early warning condition, the early warning information is directly sent to the client. And if the client is shut down and does not receive the early warning information, reporting the early warning information until the client confirms to receive the information.
In one example, when the calculation result meets the preset early warning condition, the calculation result is directly displayed on the large screen of the cloud platform 2, and the specific position information of the dam with the early warning information is marked.
The two preset early warning conditions are that the water content of the dam body section exceeds the liquid limit water content of the dam soil sample and the incremental change of the water content of the dam body section measured twice adjacently exceeds 10 percent.
In an example, the water content of the dam profile is directly converted into the water content of the dam profile through the resistivity of the dam profile on the cloud platform 2, and then the water content of the liquid limit of the dam soil sample obtained in advance through experiments is compared to judge whether to trigger an early warning condition, so that the speed of judging early warning information is improved.
In one example, time delay resistivity inversion calculation is carried out in a cloud platform by utilizing the section resistivity of the dam body measured in three adjacent times, the water content change of the section of the dam body is further calculated by utilizing the inversion calculation result and combining the correlation between the resistivity and the water content, and whether an early warning condition is triggered or not is judged according to whether the water content increment exceeds 10% and whether the water content exceeds the liquid limit water content or not measured in two adjacent times.
Referring to fig. 3, in this embodiment, the collecting unit 11 and the electrode cable 12 are embedded in the dike body, and in order to fully detect the resistivity change in the dike body and also to prevent the collecting unit 11 and the electrode cable 12 from being damaged externally, the collecting unit 11 and the electrode cable 12 need to be embedded in the surface of the dike body at a preset distance, in this embodiment, the collecting unit 11 and the electrode cable 12 are embedded in the surface of the dike body by about 50-80cm, and the electrode cable 12 between the embedded distances can obtain a more accurate voltage drop and current between electrodes in the dam body profile, thereby improving the accuracy of the resistivity of the dam body profile.
When the point distance of the spherical electrodes 121 is selected, considering that the smaller the point distance, the higher the accuracy of abnormal positioning, the higher the cost and the like, the optimal scheme is to select the 2-meter distance in terms of comprehensive cost performance, so that 2m is selected as the point distance between the spherical electrodes 121 in the embodiment, the better uniformity of the measured data is ensured, and the electrode distances of 1m, 4m, 6m and the like can be selected in other examples. The arrangement of the spherical electrodes 121 may be selected from conventional arrangements such as symmetric quadrupoles and dipoles.
In one example, dam profile resistanceThe rate conversion is the dam body section water content, specifically: the corresponding relation formula constructed by the multivariate fitting model is as follows: ρ = a × n x ×ω y Rho is the dam section resistivity, omega is the dam section water content, and n is the soil sample porosity.
In this embodiment, although the influence of the water content and the porosity on the resistivity is performed by the partial correlation analysis when the proportional relationship between the three-phase substances in the undisturbed soil and the resistivity correlation are studied, the water content and the porosity are not independently changed, and therefore it is necessary to perform the multivariate fitting analysis and establish the multivariate fitting model of the influence of the porosity and the water content on the resistivity. According to the corresponding partial correlation analysis result, assuming the resistivity model as
The generating function was then fitted using the CurveFitting program module in MATLAB.
For example, the sampling of the experimental soil sample is performed in the Jilin Changchun, the experimental soil sample is silty clay in the Changchun region, and the soil is characterized by very small difference of soil grain density, so that the influence of the soil grain density on the resistivity of the soil sample does not need to be analyzed separately. From the analysis results, the fitting function had a very small regression sum of squares of 30.22R 2 The value is 0.8818, the root mean square error is 0.9569, the numerical value is small, and as can be seen from fig. 4, the fitting degree of the function graph and the data points fitted by the data is good, most of the data points are fitted with the function graph, and the reliability of the established regression equation is extremely high. The resistivity model is comprehensively considered to be well suitable for the soil body of the test object, and the related simplified resistivity expression is established as follows: ρ =8.593n 0.5155 ω -0.2050 。
The analysis result is matched with the partial correlation analysis result. Therefore, the method shows that the correlation exists between the resistivity and the physical property parameters representing the three-phase proportion, the correlation is very obvious, a corresponding multivariate fitting resistivity expression can be established, and R 2 The method has the advantages of high accuracy in expression explanation and high applicability.
In the partial correlation analysis, the influence of the density of the soil particles is controlled according to the density of the soil particles as a fixed value, and the water content and the porosity have obvious curve function relation influence on the resistivity of the soil body, wherein the water content and the resistivity have a power function relation with negative correlation, and the porosity and the resistivity have a power function relation with positive correlation.
Based on the system, the embodiment of the application also discloses a dam leakage detection early warning method, and as shown in fig. 5, the steps include S101-S103.
S101, a detection module measures a dam body resistivity profile to obtain real-time dam body profile resistivity data;
step S102, carrying out measurement experiments on the liquid limit water content, the plasticity index and the resistivity under different water contents on dam soil sample sampling, carrying out correlation analysis on the water content and the resistivity, and determining the correlation relation between the water content and the resistivity;
and S103, converting the dam section resistivity into the dam section water content by the cloud platform, and judging whether to trigger an early warning signal according to the dam section water content converted from the dam section resistivity detected in real time.
In one example, a dam leak detection system includes a detection module 1 and a cloud platform 2; wherein the content of the first and second substances,
the detection module 1 is used for monitoring the resistivity of the section of the dam body in real time through the buried electrode;
the cloud platform 2 is used for converting the acquired dam body section resistivity into dam body section water content and carrying out early warning when the dam body section water content meets preset early warning conditions.
The dam body section resistivity can be monitored in real time only through electrodes buried in the dam body, data collected by the detection module 1 are uploaded to the cloud platform 2 to convert the dam body section resistivity into the dam body section water content, dam leakage detection can be judged according to the dam body section water content, early warning is carried out, the leakage measurement mode is simple and easy to operate, and dam leakage measurement can be conveniently and rapidly achieved.
In one example, the detection module 1 includes an acquisition unit 11 and an electrode cable 12, the acquisition unit 11 and the electrode cable 12 are both buried inside the dam body, the acquisition units 11 and the electrode cable 12 form a measurement line, the acquisition units 11 are connected by the electrode cable 12, and an electrode distance of the electrode cable 12 is a preset distance. The collection unit 11 and the electrode cable 12 buried in the dam body can effectively collect the section resistivity of the dam body, and the uniformity of measured data is ensured by controlling the electrode spacing.
In one example, the filling depth of the acquisition unit 11 and the electrode cable 12 is a preset depth, namely about 50-80cm, and the accuracy of measuring the voltage drop and the current between electrodes in the dam section is improved by controlling the filling depth of the acquisition unit 11 and the electrode cable 12, so that the accuracy of measuring the resistivity of the dam section is further improved.
In one example, the preset early warning condition comprises that the water content of the dam body section exceeds the liquid limit water content of the dam soil sample. The measured liquid limit water content of the dam soil sample can be directly judged through the section water content converted from the section resistivity of the dam body, and the speed of judging the early warning information can be improved.
In one example, the preset early warning condition further includes that the moisture content of the section of the dam body measured in two adjacent times changes by more than 10%. Whether the change rate of the water content of the dam body section measured in two adjacent times exceeds 10% is compared, and the speed of judging the early warning information can be improved.
In one example, the dam profile resistivity is converted into the dam profile moisture content, specifically: the corresponding relation formula constructed by the multivariate fitting model is as follows: ρ = a × n x ×ω y Rho is the dam section resistivity, omega is the dam section water content, and n is the soil sample porosity. According to the formula, the corresponding water content can be directly obtained through the resistivity, the requirement for measuring the water content is omitted, and the dam leakage detection efficiency is improved.
In one example, the detection module 1 comprises a GPS positioning unit 13, and the GPS positioning unit 13 is used for determining the position of the dam body when the section water content of the dam body is suddenly changed. The GPS positioning unit 13 is arranged, so that the dam with dam leakage early warning can be directly displayed in the cloud platform 2 or the client, the step of searching the position of the dam is omitted, and the efficiency of dam leakage early warning is improved.
In one example, the electrodes of the electrode cable 12 are of a spherical design. The contact area of the electrode and the soil is increased, and the measurement accuracy of the section resistivity of the dam body is improved.
Based on the above system, the embodiment of the present application further discloses an electronic device, which includes a processor 31, a memory 35, and a transceiver, where the memory 35 is used to store instructions for implementing the dam leakage detection early warning method, the transceiver is used to communicate with other devices, and the processor 31 is used to execute the instructions stored in the memory 35.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 6, the electronic device 3 may include: at least one processor 31, at least one network interface 34, a user interface 33, a memory 35, at least one communication bus 32.
Wherein a communication bus 32 is used to enable the connection communication between these components.
The user interface 33 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 33 may also include a standard wired interface and a wireless interface.
The network interface 34 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
The Memory 35 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 35 includes a non-transitory computer-readable medium. The memory 35 may be used to store instructions, programs, code, sets of codes or sets of instructions. The memory 35 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-mentioned method embodiments, and the like; the storage data area may store data and the like referred to in the above respective method embodiments. The memory 35 may optionally be at least one memory device located remotely from the processor 31. As shown in fig. 6, the memory 35, which is a computer storage medium, may include therein an operating system, a network communication module, a user interface module, and an application program of a dam leakage detection warning method.
It should be noted that: in the above embodiment, when the device implements the functions thereof, only the division of the functional modules is illustrated, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to implement all or part of the functions described above. In addition, the apparatus and method embodiments provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments for details, which are not described herein again.
In the electronic device 3 shown in fig. 6, the user interface 33 is mainly used as an interface for providing input for a user, and acquiring data input by the user; and the processor 31 may be adapted to invoke an application program in the memory 35 that stores a dam leak detection warning method, which when executed by one or more processors causes the electronic device 3 to perform one or more of the methods described above in the embodiments above.
The embodiments of the present invention are preferred embodiments of the present application, and the scope of protection of the present application is not limited by the embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (10)
1. A dam leakage monitoring system, its characterized in that: the system comprises a detection module (1) and a cloud platform (2); wherein, the first and the second end of the pipe are connected with each other,
the detection module (1) is used for monitoring the resistivity of the section of the dam body in real time through the buried electrode;
the cloud platform (2) is used for converting the acquired dam section resistivity into dam section water content and carrying out early warning when the dam section water content meets preset early warning conditions.
2. A dam leak monitoring system according to claim 1, wherein: detection module (1) is including acquisition unit (11) and electrode cable (12), acquisition unit (11) with electrode cable (12) all bury inside the dam body, and are a plurality of acquisition unit (11) with electrode cable (12) constitute the survey line, connect through electrode cable (12) between acquisition unit (11), the electrode interval of electrode cable (12) is for predetermineeing the interval.
3. A dam leakage monitoring system according to claim 2, wherein: the landfill depth of the acquisition unit (11) and the electrode cable (12) is a preset depth.
4. A dam leak monitoring system according to claim 1, wherein: the preset early warning condition comprises that the water content of the dam body section exceeds the liquid limit water content of the dam soil sample.
5. A dam leak monitoring system according to claim 1, wherein: the preset early warning condition further comprises that the change of the water content of the dam body section is measured for more than 10% in two adjacent times.
6. A dam leak monitoring system according to claim 1, wherein: the dam body profile resistivity is converted into the dam body profile water content, and the method specifically comprises the following steps: the corresponding relation formula constructed by the multivariate fitting model is as follows: ρ = a × n x ×ω y Rho is the dam section resistivity, omega is the dam section water content, and n is the soil sample porosity.
7. A dam leak monitoring system according to claim 1, wherein: the detection module (1) comprises a GPS positioning unit (13), and the GPS positioning unit (13) is used for determining the position of the dam body when the section water content of the dam body changes suddenly.
8. A dam leak monitoring system according to claim 2, wherein: the electrodes of the electrode cable (12) are of spherical design.
9. A dam leakage monitoring and early warning method is characterized by being applied to a dam leakage detection system as described in any one of 1-8, and comprising the following steps:
the detection module (1) measures the resistivity profile of the dam body to obtain real-time resistivity data of the dam body profile;
the cloud platform (2) converts the dam section resistivity into the dam section water content, and judges whether to trigger the early warning signal according to the dam section water content converted from the dam section resistivity detected in real time.
10. An electronic device, characterized in that it comprises a processor (31), a memory (35) and a transceiver, said memory (35) being adapted to store instructions and said transceiver being adapted to communicate with other devices, said processor (31) being adapted to execute instructions stored in said memory (35) to cause said electronic device (3) to perform the method according to claim 9.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210969945.9A CN115356051A (en) | 2022-08-12 | 2022-08-12 | Dam leakage monitoring system and method and electronic equipment |
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