CN114737523B - Method and device for determining water seepage source of plunge pool - Google Patents

Method and device for determining water seepage source of plunge pool Download PDF

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CN114737523B
CN114737523B CN202210377667.8A CN202210377667A CN114737523B CN 114737523 B CN114737523 B CN 114737523B CN 202210377667 A CN202210377667 A CN 202210377667A CN 114737523 B CN114737523 B CN 114737523B
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seepage
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CN114737523A (en
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毛延翩
李庆斌
刘顶明
贾鑫
席前伟
宫玉强
徐波
候春尧
田静杰
胡长浩
胡昱
甘轶凡
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Tsinghua University
China Yangtze Power Co Ltd
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China Yangtze Power Co Ltd
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Abstract

Provided herein are a method and apparatus for determining a water seepage source of a plunge pool, wherein the method comprises: acquiring the water temperature of a water seepage part and the water temperature of a water non-seepage part in the plunge pool; selecting one or more of the known sources as hypothetical water seepage sources; determining the length of a hypothetical leak channel from the hypothetical seepage source to the seepage position according to the one or more hypothetical seepage sources; and determining the real water seepage source of the plunge pool according to the actual water temperature of the assumed water seepage source, the water temperature of the water seepage part, the water temperature of the water non-seepage part and the length of the assumed seepage channel. The accuracy of the water seepage source detection can be improved, and the speed of the water seepage source detection can be improved.

Description

Method and device for determining water seepage source of plunge pool
Technical Field
The invention relates to the field of water conservancy detection, in particular to a method and a device for determining water seepage sources of a plunge pool.
Background
In the flood discharge process of the dam, in order to reduce the scouring of flood discharge water flow to a downstream river bed, the dam is excavated to form enough water cushion depth to dissipate energy, namely the water cushion pond. Because of flood discharge water flow speed is fast, impact force is strong, even if there is the cushion to cushion, also can have great impact force to act on the cushion pool bottom, leads to the cushion pool bottom plate fracture infiltration easily. When overhauling the gallery at the bottom of the existing plunge pool, the water seepage phenomenon exists at a plurality of positions, the seepage amount is large, and the structural safety is quite unfavorable. Therefore, the seepage source is detected by the technical means, the temperature interval in the seepage water of the plunge pool is distinguished, and the method has great significance for accurately constructing the seepage field in the plunge pool, finding out the seepage cracks in the plunge pool in advance and processing the seepage cracks, and ensuring the safety and stability of the plunge pool.
Referring to the prior literature and patents, the method for detecting the source of water seepage is commonly used at present, namely an isotope tracing technology-based water seepage source method. In the patent application number 201710850430.6, the method is introduced in the method for measuring the seepage source of the underground powerhouse of the pumped storage power station based on the isotope tracing technology, and according to the overall structure of the underground powerhouse and the upper reservoir, water samples of the underground powerhouse such as a water weir, water in storage, water in the upper reservoir around a dam seepage, groundwater, a gentle slope and the periphery of the reservoir are collected, and meanwhile, the concentration of hydrogen and oxygen isotopes, chloride ions, sulfate ions and nitrate ions in the water sample is also subjected to relevant analysis while the radon isotope in the water sample is analyzed. The detection results of the concentration of the chloride ions, the sulfate ions and the nitrate ions are collected for more than half a year, and the seepage sources are more comprehensively evaluated. The method can better analyze the source composition of water seepage from element correlation, but isotopes are affected by seasons, certain errors exist, and the water element detection time is long, so that the method is unfavorable for rapidly solving the problem.
Therefore, a method for determining the water seepage source of the plunge pool is needed, which can improve the accuracy of water seepage source detection and the speed of water seepage source detection.
Disclosure of Invention
An objective of the embodiments herein is to provide a method and a device for determining a water seepage source of a plunge pool, so as to improve the accuracy of water seepage source detection and the speed of water seepage source detection.
To achieve the above object, in one aspect, an embodiment herein provides a method for determining a water seepage source of a plunge pool, including:
acquiring the water temperature of a water seepage part and the water temperature of a water non-seepage part in the plunge pool;
selecting one or more of the known sources as hypothetical water seepage sources;
determining the length of a hypothetical leak channel from the hypothetical seepage source to the seepage position according to the one or more hypothetical seepage sources;
and determining the real water seepage source of the plunge pool according to the actual water temperature of the assumed water seepage source, the water temperature of the water seepage part, the water temperature of the water non-seepage part and the length of the assumed seepage channel.
Preferably, if one of the known sources is selected as the assumed water seepage source, determining the real water seepage source of the plunge pool according to the actual water temperature of the assumed water seepage source, the water temperature of the water seepage part, the water temperature of the non-water seepage part and the length of the assumed seepage channel further comprises:
according to the water temperature of the water seepage part, the water temperature of the water non-seepage part and the length of the assumed seepage channel, calculating to obtain the calculated water temperature of the assumed seepage source;
And comparing the calculated water temperature of the assumed water seepage source with the actual water temperature of the assumed water seepage source to determine the actual water seepage source of the plunge pool.
Preferably, the calculating the calculated water temperature of the assumed water seepage source according to the water temperature of the water seepage part, the water temperature of the non-water seepage part and the length of the assumed seepage channel further comprises:
the calculated water temperature of the assumed water seepage source is calculated by the following formula:
Figure BDA0003591397650000021
wherein T is x To calculate the water temperature assuming the water seepage source, T 1 T is the water temperature of the non-water-permeable part 2 Is the water temperature of the water seepage part alpha l The heat conductivity coefficient of the plunge pool and water is that the plunge pool is made of concrete, and L is the length of the assumed seepage channel.
Preferably, the comparing the calculated water temperature of the assumed water seepage source with the actual water temperature of the assumed water seepage source, and determining the actual water seepage source of the plunge pool further comprises:
judging whether the calculated water temperature of the assumed water seepage source is within a water temperature range corresponding to the actual water temperature of the assumed water seepage source;
if yes, the assumed seepage source is the real seepage source of the plunge pool;
if not, then
Re-selecting one of the known sources as a hypothetical water seepage source, and determining the length of a hypothetical seepage channel from the hypothetical water seepage source to a water seepage part according to the hypothetical water seepage source;
Calculating to obtain the calculated water temperature of the assumed water seepage source according to the water temperature of the water seepage part, the water temperature of the water non-seepage part and the length of the assumed seepage channel;
and circularly executing the judging steps until all the known sources are selected as the assumed water seepage sources.
Preferably, if a plurality of hypothetical water seepage sources are selected from the known sources, determining the real water seepage source of the plunge pool according to the actual water temperature of the hypothetical water seepage sources, the water temperature of the water seepage part, the water temperature of the non-water seepage part and the length of the hypothetical seepage channel further comprises:
calculating to obtain the calculated water temperature component of the water seepage part corresponding to each assumed water seepage source according to the actual water temperature of each assumed water seepage source, the length of each assumed water seepage channel and the water temperature of the non-water seepage part;
according to the weight corresponding to each hypothesized water seepage source and the calculated water temperature component of the water seepage part corresponding to each hypothesized water seepage source, weighting and summing the hypothesized water seepage sources to obtain the calculated water temperature of the water seepage part;
comparing the calculated water temperature of the water seepage part with the water temperature of the water seepage part, and determining the real water seepage source of the plunge pool.
Preferably, the calculating the calculated water temperature component of the water seepage part corresponding to each assumed water seepage source according to the actual water temperature of each assumed water seepage source, the length of each assumed water seepage channel and the water temperature of the water seepage part not having water seepage further comprises:
the calculated water temperature component of the water seepage part corresponding to each assumed water seepage source is calculated by the following formula:
Figure BDA0003591397650000031
wherein T is the calculated water temperature component of the corresponding water seepage part of each assumed water seepage source, T y For each assumed actual water temperature of the seepage source, T 1 Is the water temperature of the non-water-permeable part alpha l Is the heat conductivity coefficient of the plunge pool and water, and the plunge pool isThe concrete material, L', is the length of each hypothetical leak path.
Preferably, the comparing the calculated water temperature of the water seepage part with the water temperature of the water seepage part, and determining the real water seepage source of the plunge pool further comprises:
judging whether the calculated water temperature of the water seepage part is in a water temperature range corresponding to the water temperature of the water seepage part;
if yes, the real water seepage sources of the plunge pool are the multiple assumed water seepage sources, and the ratio of each assumed water seepage source is the weight corresponding to each assumed water seepage source;
if not, re-determining the weight corresponding to each assumed seepage source and/or re-selecting a plurality of assumed seepage sources from the known sources, thereby determining the real seepage source of the plunge pool.
Preferably, the redetermining the weight corresponding to each assumed seepage source further comprises:
according to the weight corresponding to each hypothesized water seepage source and the calculated water temperature component of the water seepage part corresponding to each hypothesized water seepage source, weighting and summing the hypothesized water seepage sources to obtain the calculated water temperature of the water seepage part;
and circularly executing the judging step until the plurality of assumed water seepage sources are combined according to any different weights.
Preferably, the re-selecting a plurality of the known sources as the assumed water seepage sources further comprises:
determining the length of a hypothetical leakage channel from each hypothetical seepage source to a seepage part according to each hypothetical seepage source;
calculating to obtain a calculated water temperature component of each assumed water seepage source corresponding to the water seepage position according to the actual water temperature of each assumed water seepage source, the length of each assumed water seepage channel and the water temperature of the non-water seepage position;
according to the weight corresponding to each hypothesized water seepage source and the calculated water temperature component of the water seepage part corresponding to each hypothesized water seepage source, weighting and summing the hypothesized water seepage sources to obtain the calculated water temperature of the water seepage part;
And circularly executing the judging step until any combination of a plurality of known sources is selected as the assumed water seepage source.
Preferably, the step of obtaining the water temperature of the water seepage part and the water temperature of the water non-seepage part in the plunge pool further comprises:
acquiring a thermal imaging image of the plunge pool;
inputting the thermal imaging image into a neural network model, and outputting the water seepage part and the non-water seepage part of the plunge pool in the thermal imaging image;
and determining the water temperature of the water seepage part and the water temperature of the water non-seepage part according to the output result.
In yet another aspect, embodiments herein also provide a device for determining a water seepage source of a pond, the device comprising:
the acquisition module is used for acquiring the water temperature of the water seepage part and the water temperature of the water non-seepage part in the plunge pool;
the selecting module is used for selecting one or more of the known sources as a hypothetical water seepage source;
the seepage channel determining module is used for determining the length of the assumed seepage channel from the assumed seepage source to the seepage part according to the one or more assumed seepage sources;
the water seepage source determining module is used for determining the real water seepage source of the plunge pool according to the actual water temperature of the assumed water seepage source, the water temperature of the water seepage part, the water temperature of the non-water seepage part and the length of the assumed seepage channel.
The technical scheme provided by the embodiment of the invention shows that the real water seepage source of the plunge pool is determined by assuming the actual water temperature of the water seepage source, the water temperature of the water seepage part and the water temperature of the water non-seepage part and assuming the length of the seepage channel, so that on one hand, the restriction of different meteorological factors in different seasons can not be received, the detection accuracy is improved, on the other hand, errors are not required to be eliminated through long-term measurement analysis rules, the detection time consumption is reduced, and the detection speed and efficiency are improved.
The foregoing and other objects, features and advantages will be apparent from the following more particular description of preferred embodiments, as illustrated in the accompanying drawings.
Drawings
In order to more clearly illustrate the embodiments herein or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments herein and that other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for determining a water seepage source of a pond according to an embodiment of the present disclosure;
FIG. 2 illustrates a schematic flow chart for obtaining water temperature at a water permeable site and water temperature at a water impermeable site in a pond according to embodiments herein;
FIG. 3 illustrates a schematic flow chart for determining the true water seepage source of a plunge pool provided by the embodiment;
FIG. 4 is a schematic flow chart for comparing a calculated water temperature of an assumed water seepage source with an actual water temperature of the assumed water seepage source, thereby determining a real water seepage source of the plunge pool;
FIG. 5 illustrates another flow chart provided herein for determining the true water penetration source of a plunge pool;
FIG. 6 is a schematic flow chart of a method for comparing a calculated water temperature at a water permeable site with a water temperature at the water permeable site to determine a true water permeable source of a pond according to an embodiment of the present disclosure;
FIG. 7 illustrates a flow chart provided by embodiments herein after redefining the weights corresponding to each of the hypothetical seepage sources;
FIG. 8 is a schematic flow chart of the present embodiments after a plurality of hypothetical water seepage sources are selected from the known sources;
fig. 9 is a schematic block diagram of a device for determining a water seepage source of a plunge pool according to an embodiment of the present disclosure;
Fig. 10 shows a schematic structural diagram of a computer device provided in an embodiment herein.
Description of the drawings:
100. an acquisition module;
200. selecting a module;
300. a leak path determination module;
400. a water seepage source determining module;
1002. a computer device;
1004. a processor;
1006. a memory;
1008. a driving mechanism;
1010. an input/output module;
1012. an input device;
1014. an output device;
1016. a presentation device;
1018. a graphical user interface;
1020. a network interface;
1022. a communication link;
1024. a communication bus.
Detailed Description
The following description of the embodiments of the present disclosure will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the disclosure. All other embodiments, based on the embodiments herein, which a person of ordinary skill in the art would obtain without undue burden, are within the scope of protection herein.
Because of flood discharge water flow speed is fast, impact force is strong, even if there is the cushion to cushion, also can have great impact force to act on the cushion pool bottom, leads to the cushion pool bottom plate fracture infiltration easily.
Referring to the prior literature and patents, the method for detecting the source of water seepage is commonly used at present, namely an isotope tracing technology-based water seepage source method. In the patent application number 201710850430.6, the method is introduced in the method for measuring the seepage source of the underground powerhouse of the pumped storage power station based on the isotope tracing technology, and according to the overall structure of the underground powerhouse and the upper reservoir, water samples of the underground powerhouse such as a water weir, water in storage, water in the upper reservoir around a dam seepage, groundwater, a gentle slope and the periphery of the reservoir are collected, and meanwhile, the concentration of hydrogen and oxygen isotopes, chloride ions, sulfate ions and nitrate ions in the water sample is also subjected to relevant analysis while the radon isotope in the water sample is analyzed. The detection results of the concentration of the chloride ions, the sulfate ions and the nitrate ions are collected for more than half a year, and the seepage sources are more comprehensively evaluated. The method can better analyze the source composition of water seepage from element correlation, but isotopes are affected by seasons, certain errors exist, and the water element detection time is long, so that the method is unfavorable for rapidly solving the problem.
In order to solve the above problems, embodiments herein provide a method for determining a water seepage source of a plunge pool. Fig. 1 is a schematic step diagram of a method for determining the source of water seepage in a pond provided in embodiments herein, which provides the method steps of operation as described in the examples or flowcharts, but may include more or fewer steps of operation based on conventional or non-inventive labor. The order of steps recited in the embodiments is merely one way of performing the order of steps and does not represent a unique order of execution. When a system or apparatus product in practice is executed, it may be executed sequentially or in parallel according to the method shown in the embodiments or the drawings.
It should be noted that the terms "first," "second," and the like in the description and claims herein and in the foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, apparatus, article, or device that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or device.
Referring to fig. 1, a method for determining a water seepage source of a plunge pool includes:
s101: acquiring the water temperature of a water seepage part and the water temperature of a water non-seepage part in the plunge pool;
s102: selecting one or more of the known sources as hypothetical water seepage sources;
s103: determining the length of a hypothetical leak channel from the hypothetical seepage source to the seepage position according to the one or more hypothetical seepage sources;
S104: and determining the real water seepage source of the plunge pool according to the actual water temperature of the assumed water seepage source, the water temperature of the water seepage part, the water temperature of the water non-seepage part and the length of the assumed seepage channel.
In the flood discharge process of the dam, in order to reduce the scouring of the downstream riverbed by flood discharge water flow, the energy is dissipated by digging to form enough water cushion depth behind the dam, and the water cushion pond can be understood as a layer of concrete poured on the riverbed downstream of the dam. The water seepage part refers to the cracking part of the plunge pool, but not the crack generated by the cracking, and the non-water seepage part refers to other parts of the plunge pool. After the plunge pool is cracked, other water sources such as mountain water sources, underground water and the like can flow into the plunge pool through the cracked cracks, so that the water temperature of the water seepage part is different from the water temperature of the water non-seepage part, and the water temperature of the water non-seepage part is the environmental temperature of the plunge pool.
In order to determine the water seepage source of the plunge pool, one or more of the known sources can be selected as the assumed water seepage sources, and then the assumed water seepage sources are further judged. The known sources can be all possible sources for generating water seepage in the current plunge pool, and mainly comprise a reservoir water source, a mountain water source and groundwater flush, and particularly comprise an upstream water source in a reservoir and a downstream water source in the reservoir; the mountain water source comprises downstream left bank mountain internal water seepage, downstream left bank mountain surface water flowing, downstream right bank mountain internal water seepage and downstream right bank mountain surface water flowing; groundwater flush in turn includes upstream groundwater flush and downstream groundwater flush.
The hypothetical leak path refers to the passage of water from a hypothetical source into the pond, and is typically a passage extending from the hypothetical source to the pond. If the assumed seepage source is downstream groundwater gushing water, the junction of downstream groundwater and the plunge pool can be further determined, the straight line distance between the seepage position and the junction is calculated as the length of the assumed seepage channel, and the same treatment is performed on other types of assumed seepage sources, which is not described herein.
According to the actual water temperature of the assumed water seepage source, the water temperature of the water seepage part, the water temperature of the non-water seepage part and the length of the assumed seepage channel, the actual water seepage source of the plunge pool can be determined. By the method, the limitation of different meteorological factors in different seasons is avoided, the detection accuracy is improved, errors are eliminated through a long-term measurement analysis rule, the detection time consumption is reduced, and the detection speed and efficiency are improved.
Referring to fig. 2, in embodiments herein, the obtaining the water temperature of the water permeable site and the water temperature of the water impermeable site in the pond further comprises:
S201: acquiring a thermal imaging image of the plunge pool;
s202: inputting the thermal imaging image into a neural network model, and outputting the water seepage part and the non-water seepage part of the plunge pool in the thermal imaging image;
s203: and determining the water temperature of the water seepage part and the water temperature of the water non-seepage part according to the output result.
The thermal imaging image of the plunge pool can be obtained by shooting through an infrared thermal imaging camera, and after the thermal imaging image is input into a trained neural network model, the water seepage part and the non-water seepage part in the thermal imaging image can be shown.
Of course, if the recognition of the water seepage part and the non-water seepage part is to be performed through the neural network model, training of the neural network model is performed first, a plurality of thermal imaging images marked with the water seepage part and the non-water seepage part need to be acquired to form a training set during training, in this process, a worker firstly performs shooting of the inside of the plunge pool through a common camera and an infrared thermal imaging camera, and then an original image obtained through shooting of the common camera and a thermal imaging image obtained through shooting of the thermal imaging camera can be obtained. Then, the non-water-permeable part (dry part) and the water-permeable part (surface water or crack water-permeable) are manually identified and divided, and finally, the non-water-permeable part and the water-permeable part are marked on the thermal imaging image of the same part, so that the part classification on the thermal imaging image is completed, and the thermal imaging images can form a training set.
In the training process of the neural network model, the thermal imaging image in the training set can be divided into 100×100 areas on average, and the temperature of each area is averaged to be the temperature of the point. The temperature interval of the non-water-permeable part divided by the training set is used as the ambient temperature, each region of the thermal imaging image is traversed, the temperature of the point is input, classification is carried out according to the preset weight, if the ambient temperature is exceeded, the non-water-permeable part is considered as the water-permeable part, and the weight is updated according to the dividing effect. And finishing training until the error between the final dividing result and the manual dividing result meets the stopping condition.
When a worker shoots the inside of the plunge pool through a common camera and an infrared thermal imaging camera, each shooting point is spaced a certain distance, and a plurality of images are shot to take an average value as the temperature of the part. During shooting, proper time is selected to ensure stable water temperature, and water temperature fluctuation caused by overlong leakage channels is avoided.
Referring to fig. 3, in the embodiment herein, if one of the known sources is selected as the hypothetical water seepage source, determining the real water seepage source of the plunge pool according to the actual water temperature of the hypothetical water seepage source, the water temperature of the water seepage portion, the water temperature of the non-water seepage portion and the length of the hypothetical seepage channel further includes:
S301: according to the water temperature of the water seepage part, the water temperature of the water non-seepage part and the length of the assumed seepage channel, calculating to obtain the calculated water temperature of the assumed seepage source;
s302: and comparing the calculated water temperature of the assumed water seepage source with the actual water temperature of the assumed water seepage source to determine the actual water seepage source of the plunge pool.
Correspondingly, the selected assumed water seepage source can be any one of known sources, and the calculated water temperature of the assumed water seepage source is calculated through the following formula:
Figure BDA0003591397650000101
wherein T is x To calculate the water temperature assuming the water seepage source, T 1 T is the water temperature of the non-water-permeable part 2 Is the water temperature of the water seepage part alpha l The heat conductivity coefficient of the plunge pool and water is that the plunge pool is made of concrete, and L is the length of the assumed seepage channel.
The derivation process of formula (1) is as follows:
the water is accompanied by heat loss during the passage through the hypothetical leak path, assuming that the calculated water temperature at the source of the water penetration should be equal to the sum of the water temperature at the water penetration site and the water temperature lost along the leak path, as shown in equation (2):
Figure BDA0003591397650000102
wherein T is f As a function of the temperature of the leak path.
Since the derivative of the temperature function of the leak path is equal to the product of the temperature conductivity and the temperature difference, as shown in equation (3):
Figure BDA0003591397650000103
Further deduction can be seen that:
Figure BDA0003591397650000104
performing integral operation on the formula (3) to obtain T f Is calculated according to the formula; when l=l, T f =T 2 So c=ln (T 2 -T 1 )-α l L,
Figure BDA0003591397650000105
From equation (2):
Figure BDA0003591397650000106
referring to fig. 4, in the embodiment herein, comparing the calculated water temperature of the hypothetical water penetration source with the actual water temperature of the hypothetical water penetration source, determining the actual water penetration source of the plunge pool further includes:
s401: judging whether the calculated water temperature of the assumed water seepage source is within a water temperature range corresponding to the actual water temperature of the assumed water seepage source;
s402: if yes, the assumed seepage source is the real seepage source of the plunge pool;
s403: if not, then
Re-selecting one of the known sources as a hypothetical water seepage source, and determining the length of a hypothetical seepage channel from the hypothetical water seepage source to a water seepage part according to the hypothetical water seepage source;
calculating to obtain the calculated water temperature of the assumed water seepage source according to the water temperature of the water seepage part, the water temperature of the water non-seepage part and the length of the assumed seepage channel;
and circularly executing the judging steps until all the known sources are selected as the assumed water seepage sources.
Specifically, the water temperature range corresponding to the actual water temperature of the water seepage source can be set according to the actual working condition, for example, a region of ±0.1 ℃ of the actual water temperature of the water seepage source is taken as the water temperature range, after the calculated water temperature of the water seepage source is calculated according to the formula (1), whether the water temperature is within the water temperature range corresponding to the actual water temperature is judged, if so, the assumed water seepage source is the actual water seepage source, but if not, one of the known sources is required to be selected again as the assumed water seepage source, and after the calculation steps of S103 to S104 are executed again, the judgment steps of S401 to S403 are executed circularly until all the known sources are selected as the assumed water seepage sources.
For example, there are three known sources A, B, C, and the above process is to judge whether the three known sources are real water seepage sources one by one, and assume that the known source a is firstly used as the assumed water seepage source for judgment, and if a is not the real water seepage source, the next judgment (B or C) is to be performed; if A is the real seepage source, the next judgment is not needed, and the A is directly determined as the real seepage source. If none of the individual A, B, C sources is a true source of water penetration, there is a possibility that the known sources A, B, C will mix in a proportion to form a true source of water penetration.
The next step can be to further determine if the actual source of water penetration is made up of multiple hypothetical sources of water penetration.
Of course, due to the requirement of the line, whether the real water seepage source is a single assumed water seepage source is described before whether the real water seepage source is formed by a plurality of assumed water seepage sources is judged, but a person skilled in the art can understand that the single judgment and the plurality of judgments have no correlation in sequence, the single judgment can be firstly carried out, the plurality of judgments can be carried out firstly, the single judgment can be carried out, and the two judgment modes can be mixed and crossed.
Referring to fig. 5, in the embodiment herein, if a plurality of known sources are selected as the assumed water seepage sources, determining the real water seepage source of the plunge pool according to the actual water temperature of the assumed water seepage sources, the water temperature of the water seepage portions, the water temperature of the non-water seepage portions and the length of the assumed seepage channels further includes:
s501: calculating to obtain the calculated water temperature component of the water seepage part corresponding to each assumed water seepage source according to the actual water temperature of each assumed water seepage source, the length of each assumed water seepage channel and the water temperature of the non-water seepage part;
s502: according to the weight corresponding to each hypothesized water seepage source and the calculated water temperature component of the water seepage part corresponding to each hypothesized water seepage source, weighting and summing the hypothesized water seepage sources to obtain the calculated water temperature of the water seepage part;
s503: comparing the calculated water temperature of the water seepage part with the water temperature of the water seepage part, and determining the real water seepage source of the plunge pool.
The actual water temperature of the known source needs to be known for both S301 to S302 and S501 to S503, and the actual water temperatures of the known sources corresponding to different lagoons need to be measured because the known sources are all possible sources for water seepage in the current lagoons. Specifically, the method can be determined by the following steps: the method comprises the steps that a worker shoots a plurality of known sources around a plunge pool through an infrared thermal imaging camera, 5-10 places are selected for each known source at a certain distance, a plurality of images are shot at each place, and an average value is taken for a plurality of places of each known source as the actual water temperature of the known source. During shooting, proper time points are selected, and the time points with stable water temperature are selected for shooting, so that the wide-range fluctuation of the temperature is avoided.
In this embodiment, the calculating the calculated water temperature component of the water seepage part corresponding to each assumed water seepage source according to the actual water temperature of each assumed water seepage source, the length of each assumed water seepage channel and the water temperature of the water seepage part not having water seepage further includes:
the calculated water temperature component of the water seepage part corresponding to each assumed water seepage source is calculated by the following formula:
Figure BDA0003591397650000121
wherein T is the calculated water temperature component of the corresponding water seepage part of each assumed water seepage source,T y for each assumed actual water temperature of the seepage source, T 1 Is the water temperature of the non-water-permeable part alpha l The heat conductivity coefficient of the plunge pool and water is that the plunge pool is made of concrete, and L' is the length of each assumed seepage channel.
Equation (5) can be converted by equation (1) above.
Because the real seepage source is formed by mixing a plurality of assumed seepage sources, the duty ratio of each assumed seepage source can be different, the calculated water temperature of the seepage part is formed by the actual water temperature of the plurality of assumed seepage sources according to the corresponding duty ratio, and each assumed seepage source corresponds to the calculated water temperature component of one seepage part.
And (3) calculating the calculated water temperature component of the water seepage part corresponding to each assumed water seepage source through the formula (5), and then further calculating the calculated water temperature of the water seepage part.
In the calculation process, the weight corresponding to each assumed water seepage source needs to be determined first, the weight can be preset according to the actual working condition, for example, three assumed water seepage sources exist, and the weights of the three assumed water seepage sources can be preset to be 50%,20% and 30%, or 20%,10% and 70% respectively.
Then, carrying out weighted summation on a plurality of assumed seepage sources, wherein the weighted summation is specifically as follows:
Figure BDA0003591397650000131
wherein n is the total number of assumed water seepage sources, X i For the weight of the ith hypothesized water seepage source, T i And calculating the water temperature component of the water seepage part corresponding to the water seepage source for the ith hypothesis.
The calculated water temperature of the water seepage part can be calculated through the formula (6).
Referring to fig. 6, further, comparing the calculated water temperature of the water permeable site with the water temperature of the water permeable site, determining the true water permeable source of the plunge pool further includes:
s601: judging whether the calculated water temperature of the water seepage part is in a water temperature range corresponding to the water temperature of the water seepage part;
s602: if yes, the real water seepage sources of the plunge pool are the multiple assumed water seepage sources, and the ratio of each assumed water seepage source is the weight corresponding to each assumed water seepage source;
S603: if not, re-determining the weight corresponding to each assumed seepage source and/or re-selecting a plurality of assumed seepage sources from the known sources, thereby determining the real seepage source of the plunge pool.
Specifically, the water temperature range corresponding to the water temperature of the water seepage part can be set according to the actual working condition, for example, a section of +/-0.1 ℃ of the water temperature of the water seepage part is taken as the water temperature range. If the calculated water temperature of the water seepage part is in the water temperature range, the real water seepage sources of the plunge pool are a plurality of assumed water seepage sources, and the occupation ratio of each assumed water seepage source is the weight corresponding to the assumed water seepage source. If the calculated water temperature of the water seepage part is no longer in the water temperature range, the water seepage part needs to be redetermined, the redetermining comprises redetermining the weight of each assumed water seepage source and also comprises redefining a plurality of assumed water seepage sources, the two redetermining methods have no sequence relation, and the two redetermining methods can be independently executed or can be mutually combined for execution.
It will be appreciated that when the weight of each hypothetical water penetration source is redetermined, the weights may be changed according to a set step, for example, the weights of three hypothetical water penetration sources are respectively 50%,20% and 30%, the set step is 10%, and after the actual water penetration source cannot be determined after calculation according to the weights, the weights of the three hypothetical water penetration sources are redetermined by the set step, and redetermined are as follows: 40%,20% and 40%, or 40%,25% and 35%, or 40%,30% and 30%, etc., i.e., the weight of the first hypothetical source of water penetration is reduced by the set step, but the weight of the source of water penetration may be determined in a number of ways for other hypothetical sources of water penetration, only one embodiment being shown herein, although other possible embodiments that would be readily apparent to one of ordinary skill in the art based on the embodiments disclosed herein are within the scope of protection herein.
Referring to fig. 7, in the embodiment herein, the redefining the weight corresponding to each assumed seepage source further includes:
s701: according to the weight corresponding to each hypothesized water seepage source and the calculated water temperature component of the water seepage part corresponding to each hypothesized water seepage source, weighting and summing the hypothesized water seepage sources to obtain the calculated water temperature of the water seepage part;
s702: the above-mentioned judging steps are circularly executed until each assumed water seepage source is determined as any different weight.
And after the weight corresponding to each hypothesized water seepage source is redetermined, carrying out weighted summation again to obtain the calculated water temperature of the water seepage part, and then circularly executing S601 to S603 until the hypothesized water seepage sources are combined according to any different weights. If the plurality of assumed seepage sources are combined according to different weights and then are determined to be the real seepage sources of the plunge pool, the duty ratio of each assumed seepage source is the weight corresponding to each assumed seepage source.
Referring to fig. 8, in the embodiment herein, the re-selecting a plurality of the known sources as the assumed water seepage source further includes:
s801: determining the length of a hypothetical leakage channel from each hypothetical seepage source to a seepage part according to each hypothetical seepage source;
S802: calculating to obtain a calculated water temperature component of each assumed water seepage source corresponding to the water seepage position according to the actual water temperature of each assumed water seepage source, the length of each assumed water seepage channel and the water temperature of the non-water seepage position;
s803: according to the weight corresponding to each hypothesized water seepage source and the calculated water temperature component of the water seepage part corresponding to each hypothesized water seepage source, weighting and summing the hypothesized water seepage sources to obtain the calculated water temperature of the water seepage part;
s804: and circularly executing the judging step until any combination of a plurality of known sources is selected as the assumed water seepage source.
In the process of executing S801 to S804, the above-mentioned S701 to S702 may be combined, specifically, in the process of executing S803, when the weighted summation is performed on the multiple hypothetical water seepage sources according to the weight of each hypothetical water seepage source, the above-mentioned S601 to S603 may be executed, and in this process, S603 performs the adaptive adjustment: if not, re-determining the weight sum corresponding to each assumed water seepage source, further determining the real water seepage source of the plunge pool, after re-determining the weight sum corresponding to each assumed water seepage source, executing the steps S701 to S702 until the real water seepage source of the plunge pool still cannot be determined after the plurality of assumed water seepage sources are combined according to any different weights, then executing the step S804, and executing the adaptive adjustment in the step S603 in the process of circularly executing the judging steps S601 to S603 in the step S804: if not, a plurality of the known sources are selected again to serve as the assumed seepage sources, and then the real seepage sources of the plunge pool are determined.
The concrete steps are as follows: assuming that three sources are known and A, B, C are respectively adopted, firstly selecting A and B as assumed water seepage sources to judge, setting weights of the A and the B to be 50% and 50%, and determining A after judging: 50%, B:50% of the assumed water penetration sources are not true water penetration sources, and at this time, the weight of A and B can be redetermined, for example, the weight is determined as A:40%, B:60, judging again until the possibility of all weight combinations of A and B is tried once, and the possibility is still not a real water seepage source. The assumed water seepage sources are B and C, then weights of B and C are set to be 50% and 50%, and the judgment is carried out to determine B:50%, C:50% of the assumed water seepage sources are not true water seepage sources … …
The above-mentioned processes of re-determining the weight of each assumed water penetration source and re-selecting a plurality of assumed water penetration sources, where the two re-determining methods are performed in combination with each other, and of course, may also be performed in combination in other forms, which will not be described herein.
Based on the above-mentioned method for determining a water seepage source of a pond, the embodiments herein also provide a device for determining a water seepage source of a pond. The described devices may include systems (including distributed systems), software (applications), modules, components, servers, clients, etc. that employ the methods described in embodiments herein in combination with the necessary devices to implement the hardware. Based on the same innovative concepts, the embodiments herein provide for devices in one or more embodiments as described in the following examples. Since the implementation of the device for solving the problem is similar to the method, the implementation of the device in the embodiment herein may refer to the implementation of the foregoing method, and the repetition is not repeated. As used below, the term "unit" or "module" may be a combination of software and/or hardware that implements the intended function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
Specifically, fig. 9 is a schematic block diagram of an embodiment of a device for determining a water seepage source of a pond according to the embodiment of the present disclosure, and referring to fig. 9, the device for determining a water seepage source of a pond according to the embodiment of the present disclosure includes: the system comprises an acquisition module 100, a selection module 200, a seepage channel determination module 300 and a seepage source determination module 400.
An acquisition module 100 for acquiring water temperature of a water permeable part and water temperature of a water impermeable part in the plunge pool;
a selection module 200, configured to select one or more of the known sources as a hypothetical water seepage source;
a leak path determination module 300 for determining a length of a hypothetical leak path between the hypothetical seepage source and the seepage site based on the one or more hypothetical seepage sources;
the water seepage source determining module 400 is configured to determine the real water seepage source of the plunge pool according to the actual water temperature of the assumed water seepage source, the water temperature of the water seepage part, the water temperature of the non-water seepage part and the length of the assumed seepage channel.
Referring to fig. 10, a computer device 1002 is also provided in an embodiment of the present disclosure based on a method for determining a water seepage source of a pond as described above, wherein the method is run on the computer device 1002. The computer device 1002 may include one or more processors 1004, such as one or more Central Processing Units (CPUs) or Graphics Processors (GPUs), each of which may implement one or more hardware threads. The computer device 1002 may further comprise any memory 1006 for storing any kind of information, such as code, settings, data, etc., and in a specific embodiment a computer program on the memory 1006 and executable on the processor 1004, which computer program, when being executed by the processor 1004, may execute instructions according to the method described above. For example, and without limitation, memory 1006 may include any one or more of the following combinations: any type of RAM, any type of ROM, flash memory devices, hard disks, optical disks, etc. More generally, any memory may store information using any technique. Further, any memory may provide volatile or non-volatile retention of information. Further, any memory may represent fixed or removable components of computer device 1002. In one case, when the processor 1004 executes associated instructions stored in any memory or combination of memories, the computer device 1002 can perform any of the operations of the associated instructions. The computer device 1002 also includes one or more drive mechanisms 1008, such as a hard disk drive mechanism, an optical disk drive mechanism, and the like, for interacting with any memory.
The computer device 1002 may also include an input/output module 1010 (I/O) for receiving various inputs (via input device 1012) and for providing various outputs (via output device 1014). One particular output mechanism may include a presentation device 1016 and an associated graphical user interface 1018 (GUI). In other embodiments, input/output module 1010 (I/O), input device 1012, and output device 1014 may not be included as just one computer device in a network. Computer device 1002 may also include one or more network interfaces 1020 for exchanging data with other devices via one or more communication links 1022. One or more communication buses 1024 couple the above-described components together.
The communication link 1022 may be implemented in any manner, for example, through a local area network, a wide area network (e.g., the internet), a point-to-point connection, etc., or any combination thereof. Communication links 1022 may include any combination of hardwired links, wireless links, routers, gateway functions, name servers, etc., governed by any protocol or combination of protocols.
Corresponding to the method in fig. 1-8, embodiments herein also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the above method.
Embodiments herein also provide a computer readable instruction wherein the program therein causes the processor to perform the method as shown in fig. 1 to 8 when the processor executes the instruction.
It should be understood that, in the various embodiments herein, the sequence number of each process described above does not mean the sequence of execution, and the execution sequence of each process should be determined by its functions and internal logic, and should not constitute any limitation on the implementation process of the embodiments herein.
It should also be understood that in embodiments herein, the term "and/or" is merely one relationship that describes an associated object, meaning that three relationships may exist. For example, a and/or B may represent: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided herein, it should be understood that the disclosed systems, devices, and methods may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices, or elements, or may be an electrical, mechanical, or other form of connection.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the elements may be selected according to actual needs to achieve the objectives of the embodiments herein.
In addition, each functional unit in the embodiments herein may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions herein are essentially or portions contributing to the prior art, or all or portions of the technical solutions may be embodied in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments herein. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Specific examples are set forth herein to illustrate the principles and embodiments herein and are merely illustrative of the methods herein and their core ideas; also, as will be apparent to those of ordinary skill in the art in light of the teachings herein, many variations are possible in the specific embodiments and in the scope of use, and nothing in this specification should be construed as a limitation on the invention.

Claims (11)

1. A method for determining a water seepage source of a plunge pool, comprising:
acquiring the water temperature of a water seepage part and the water temperature of a water non-seepage part in the plunge pool;
selecting one or more of the known sources as hypothetical water seepage sources;
determining the length of a hypothetical leak channel from the hypothetical seepage source to the seepage position according to the one or more hypothetical seepage sources;
and determining the real water seepage source of the plunge pool according to the actual water temperature of the assumed water seepage source, the water temperature of the water seepage part, the water temperature of the water non-seepage part and the length of the assumed seepage channel.
2. The method according to claim 1, wherein if one of the known sources is selected as a hypothetical water seepage source, determining the true water seepage source of the pond according to the actual water temperature of the hypothetical water seepage source, the water temperature of the water seepage portion, the water temperature of the non-water seepage portion, and the length of the hypothetical leak path further comprises:
According to the water temperature of the water seepage part, the water temperature of the water non-seepage part and the length of the assumed seepage channel, calculating to obtain the calculated water temperature of the assumed seepage source;
and comparing the calculated water temperature of the assumed water seepage source with the actual water temperature of the assumed water seepage source to determine the actual water seepage source of the plunge pool.
3. The method according to claim 2, wherein calculating a calculated water temperature of the hypothetical water seepage source based on the water temperature of the water seepage site, the water temperature of the non-water seepage site, and the length of the hypothetical seepage path further comprises:
the calculated water temperature of the assumed water seepage source is calculated by the following formula:
Figure FDA0003591397640000011
wherein T is x To calculate the water temperature assuming the water seepage source, T 1 T is the water temperature of the non-water-permeable part 2 Is the water temperature of the water seepage part alpha l The heat conductivity coefficient of the plunge pool and water is that the plunge pool is made of concrete, and L is the length of the assumed seepage channel.
4. The method of claim 2, wherein comparing the calculated water temperature of the hypothetical water seepage source with the actual water temperature of the hypothetical water seepage source, determining the actual water seepage source of the pond further comprises:
Judging whether the calculated water temperature of the assumed water seepage source is within a water temperature range corresponding to the actual water temperature of the assumed water seepage source;
if yes, the assumed seepage source is the real seepage source of the plunge pool;
if not, then
Re-selecting one of the known sources as a hypothetical water seepage source, and determining the length of a hypothetical seepage channel from the hypothetical water seepage source to a water seepage part according to the hypothetical water seepage source;
calculating to obtain the calculated water temperature of the assumed water seepage source according to the water temperature of the water seepage part, the water temperature of the water non-seepage part and the length of the assumed seepage channel;
and circularly executing the judging steps until all the known sources are selected as the assumed water seepage sources.
5. The method according to claim 1, wherein if a plurality of the known sources are selected as the assumed water seepage sources, determining the real water seepage source of the plunge pool according to the actual water temperature of the assumed water seepage source, the water temperature of the water seepage portion, the water temperature of the non-water seepage portion, and the length of the assumed water seepage channel further comprises:
calculating the calculated water temperature component of the water seepage part corresponding to each assumed water seepage source according to the actual water temperature of the assumed water seepage source, the length of each assumed water seepage channel and the water temperature of the non-water seepage part;
According to the weight corresponding to each hypothesized water seepage source and the calculated water temperature component of the water seepage part corresponding to each hypothesized water seepage source, weighting and summing the hypothesized water seepage sources to obtain the calculated water temperature of the water seepage part;
comparing the calculated water temperature of the water seepage part with the water temperature of the water seepage part, and determining the real water seepage source of the plunge pool.
6. The method according to claim 5, wherein calculating the calculated water temperature component of the water seepage site corresponding to each hypothetical water seepage source according to the actual water temperature of each hypothetical water seepage source, the length of each hypothetical water seepage channel, and the water temperature of the non-water seepage site further comprises:
the calculated water temperature component of the water seepage part corresponding to each assumed water seepage source is calculated by the following formula:
Figure FDA0003591397640000021
wherein T is the water seepage source of each hypothesisCalculating water temperature component of water seepage part T y For each assumed actual water temperature of the seepage source, T 1 Is the water temperature of the non-water-permeable part alpha l The heat conductivity coefficient of the plunge pool and water is that the plunge pool is made of concrete, and L' is the length of each assumed seepage channel.
7. The method of claim 5, wherein comparing the calculated water temperature at the water permeable site to the water temperature at the water permeable site to determine the true water permeable source of the pond further comprises:
Judging whether the calculated water temperature of the water seepage part is in a water temperature range corresponding to the water temperature of the water seepage part;
if yes, the real water seepage sources of the plunge pool are the multiple assumed water seepage sources, and the ratio of each assumed water seepage source is the weight corresponding to each assumed water seepage source;
if not, re-determining the weight corresponding to each assumed seepage source and/or re-selecting a plurality of assumed seepage sources from the known sources, thereby determining the real seepage source of the plunge pool.
8. The method of claim 7, wherein the re-determining the weight for each hypothetical seepage source further comprises:
according to the weight corresponding to each hypothesized water seepage source and the calculated water temperature component of the water seepage part corresponding to each hypothesized water seepage source, weighting and summing the hypothesized water seepage sources to obtain the calculated water temperature of the water seepage part;
and circularly executing the judging step until the plurality of assumed water seepage sources are combined according to any different weights.
9. The method of claim 7, wherein the re-selecting a plurality of known sources as hypothetical water penetration sources further comprises:
Determining the length of a hypothetical leakage channel from each hypothetical seepage source to a seepage part according to each hypothetical seepage source;
calculating to obtain a calculated water temperature component of each assumed water seepage source corresponding to the water seepage position according to the actual water temperature of each assumed water seepage source, the length of each assumed water seepage channel and the water temperature of the non-water seepage position;
according to the weight corresponding to each hypothesized water seepage source and the calculated water temperature component of the water seepage part corresponding to each hypothesized water seepage source, weighting and summing the hypothesized water seepage sources to obtain the calculated water temperature of the water seepage part;
and circularly executing the judging step until any combination of a plurality of known sources is selected as the assumed water seepage source.
10. The method of claim 1-9, wherein the step of obtaining the water temperature at the water permeable portion and the water temperature at the water impermeable portion of the pond further comprises:
acquiring a thermal imaging image of the plunge pool;
inputting the thermal imaging image into a neural network model, and outputting the water seepage part and the non-water seepage part of the plunge pool in the thermal imaging image;
and determining the water temperature of the water seepage part and the water temperature of the water non-seepage part according to the output result.
11. A device for determining the source of water seepage in a pond, the device comprising:
the acquisition module is used for acquiring the water temperature of the water seepage part and the water temperature of the water non-seepage part in the plunge pool;
the selecting module is used for selecting one or more of the known sources as a hypothetical water seepage source;
the seepage channel determining module is used for determining the length of the assumed seepage channel from the assumed seepage source to the seepage part according to the one or more assumed seepage sources;
the water seepage source determining module is used for determining the real water seepage source of the plunge pool according to the actual water temperature of the assumed water seepage source, the water temperature of the water seepage part, the water temperature of the non-water seepage part and the length of the assumed seepage channel.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102787614A (en) * 2012-08-31 2012-11-21 黄河勘测规划设计有限公司 Drainage structure of excavation slope of plunge pool
CN102839629A (en) * 2012-08-17 2012-12-26 北京科技大学 Method and structure for disturbed riverbed seepage-proof governing
AU2019100172A4 (en) * 2018-02-16 2019-03-28 Plungie Ip Pty Ltd Plunge pool

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11618802B2 (en) * 2020-04-27 2023-04-04 Zhengzhou University Polymer expanding material used in infiltration or seepage watery environment and preparation method thereof

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102839629A (en) * 2012-08-17 2012-12-26 北京科技大学 Method and structure for disturbed riverbed seepage-proof governing
CN102787614A (en) * 2012-08-31 2012-11-21 黄河勘测规划设计有限公司 Drainage structure of excavation slope of plunge pool
AU2019100172A4 (en) * 2018-02-16 2019-03-28 Plungie Ip Pty Ltd Plunge pool

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
拉西瓦水电站工程反拱 水垫塘优化设计;杨存龙;《水力发电》;第第33卷卷(第第11期期);第7-10页 *

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