Hydraulic engineering seepage intelligent monitoring system and method

Abstract

The invention discloses a hydraulic engineering seepage intelligent monitoring system and method. The method comprises the steps that region division is conducted on a to-be-detected dam body based on size information of the to-be-detected dam body in a hydraulic engineering and water level information of the to-be-detected dam body to obtain a region division result; determining the basic detection frequency of the first area based on the engineering scale, the service life and the material structure of the dam body to be detected; analyzing the basic detection frequency of the second area based on the meteorological environment of the to-be-detected dam body; obtaining a comprehensive area basic detection frequency according to the first area basic detection frequency and the second area basic detection frequency; obtaining the frequency amplification of the key area according to the historical maintenance condition, obtaining the longitudinal division frequency amplification based on the water level information of the to-be-detected dam body and the longitudinal division result, and obtaining the seepage detection frequency information of each area of the to-be-detected dam body based on the comprehensive area basic detection frequency, the frequency amplification of the key area and the division frequency amplification. The method has the effect of improving the seepage detection accuracy of the water conservancy project.

Description

Technical Field

[0001] The present application relates to the technical field of water conservancy engineering, and in particular to an intelligent monitoring system and method for seepage in a water conservancy engineering project. Background Art

[0002] At present, seepage refers to the flow of fluid in porous media. Porous media are composed of granular or fragmented materials and contain many pores or cracks. In water conservancy projects, seepage mainly refers to the movement of water in the pores of soil or rock formations below the surface. Seepage in water conservancy projects will cause structural damage to water conservancy projects, thereby reducing the service life and safety of water conservancy projects. It may also lead to the loss of water resources, thereby reducing the utilization efficiency of water conservancy projects and affecting water supply, power generation and other functions. Therefore, it is very important to monitor the seepage of water conservancy projects.

[0003] The existing intelligent monitoring system for seepage in water conservancy projects refers to regular visual inspections of the dam by staff to observe whether there is seepage and cracks, or to detect water level changes in the dam, and judge whether there is abnormal seepage in the dam based on the water level changes. However, the existing intelligent monitoring system for seepage in water conservancy projects relies on the work experience of staff, and the accuracy of dam seepage detection is low, and there is room for improvement. Summary of the invention

[0004] In order to improve the accuracy of seepage detection in water conservancy projects, the present application provides an intelligent monitoring system and method for seepage in water conservancy projects.

[0005] In the first aspect, the present application provides a method for intelligent monitoring of seepage in a water conservancy project, which adopts the following technical solution:

[0006] A method for intelligent monitoring of seepage in a water conservancy project comprises the following steps:

[0007] Acquire the size information of the dam body to be measured and the water level information of the dam body to be measured in the water conservancy project, and divide the dam body to be measured into regions based on the size information of the dam body to be measured and the water level information of the dam body to be measured in the water conservancy project to obtain a region division result;

[0008] Determine the frequency of basic inspection of the first area of ​​the dam body to be tested based on the project scale, service life and material structure of the dam body to be tested;

[0009] Analyze the basic inspection frequency of the second area of ​​the dam body to be tested based on the meteorological environment of the dam body to be tested;

[0010] Obtaining the comprehensive regional basic detection frequency according to the first regional basic detection frequency and the second regional basic detection frequency;

[0011] Based on the regional division results, the areas with historical maintenance conditions are marked as key inspection areas. The inspection frequency increase of the key inspection areas is determined according to the historical maintenance conditions to obtain the frequency increase of the key areas. The vertical division frequency increase is obtained based on the water level information of the dam body to be tested and the vertical division results. The seepage detection frequency information of each area of ​​the dam body to be tested is obtained based on the comprehensive regional basic inspection frequency, the frequency increase of the key areas and the division frequency increase.

[0012] Based on the seepage detection frequency information of each area of ​​the dam body to be tested, the seepage conditions of each area of ​​the dam body to be tested are tested to obtain the seepage detection results, and the seepage detection results are sent to the background monitoring system.

[0013] Preferably, the dimension information of the dam body to be measured in the water conservancy project is obtained, wherein the dimension information of the dam body to be measured includes the length information of the dam body to be measured and the width information of the inclined surface of the dam body to be measured;

[0014] Based on the length information of the dam body to be measured, the lateral direction of the dam body to be measured is equally divided to obtain the lateral division result;

[0015] Based on the water level information of the dam body to be tested, an upper water level line of the dam body to be tested and a lower water level line of the dam body to be tested are obtained;

[0016] Based on the upper water level line and the lower water level line, the slope width information of the dam body to be measured is divided to obtain a longitudinal division result;

[0017] The horizontal division result and the vertical division result are combined to form the regional division result of the dam body to be measured.

[0018] Preferably, the engineering scale information of the dam body to be tested, the service life information of the dam body to be tested, and the material structure information of the dam body to be tested are obtained, and the engineering scale information of the dam body to be tested, the service life information of the dam body to be tested, and the material structure information of the dam body to be tested are cached;

[0019] Determine the scale influence coefficient AD based on the engineering scale information of the dam body to be measured, wherein the scale influence coefficient AD is positively correlated with the engineering scale information of the dam body to be measured;

[0020] Determine the service life influence coefficient AG based on the service life information of the dam body to be tested, wherein the service life influence coefficient AG is positively correlated with the service life information of the dam body to be tested;

[0021] The material structure information of the dam body to be tested includes the material quality information of the dam body to be tested and the structural design information of the dam body to be tested;

[0022] The material quality influence coefficient AC is obtained based on the material quality information of the dam body to be tested, wherein the material quality influence coefficient AC is positively correlated with the material quality information of the dam body to be tested;

[0023] The structural stability of the dam body to be tested is determined based on the structural design information of the dam body to be tested, and the structural design influence coefficient AR is obtained based on the structural stability of the dam body to be tested, wherein the structural design influence coefficient AR is positively correlated with the structural stability of the dam body to be tested;

[0024] According to the material quality influence coefficient AC and the structural design influence coefficient AR, based on the building function The building's own influence coefficient AQ is calculated, where ε1 and ε2 are proportional factors and are both greater than 0;

[0025] The first frequency influence coefficient AWE is calculated based on the first frequency function AWE=a1×AD+a2×AG+a3×AQ by combining the scale influence coefficient AD, the service life influence coefficient AG and the building self influence coefficient AQ, where a1, a2 and a3 are proportional factors and are all greater than 0;

[0026] The basic detection frequency of the first area of ​​the dam body to be tested is determined based on the first frequency influence coefficient AWE, wherein the first frequency influence coefficient AWE is positively correlated with the basic detection frequency of the first area of ​​the dam body to be tested.

[0027] Preferably, the meteorological environment information of the environment in which the dam to be tested is located is detected, and the meteorological environment information includes temperature information, precipitation information and light intensity information;

[0028] Compare the temperature information with the preset temperature threshold, calculate the temperature difference when the temperature information exceeds the temperature threshold, record each temperature difference, calculate the time the dam body to be tested is at each temperature difference and record it as the abnormal temperature time;

[0029] The temperature anomaly influence coefficient BW of the dam body to be tested is determined based on the temperature difference and the abnormal temperature duration, wherein the temperature difference is positively correlated with the temperature anomaly influence coefficient BW, and the abnormal temperature duration is positively correlated with the temperature anomaly influence coefficient BW;

[0030] Based on the precipitation information and the water level information of the dam body to be tested, the speed at which the water level of the dam body to be tested rises during precipitation is calculated to obtain the water level rising speed information;

[0031] The water level rise speed information is compared with the preset water level rise speed threshold. If the water level rise speed information is greater than the water level rise speed threshold, the difference between the water level rise speed information and the water level rise speed threshold is calculated and recorded as the water level growth rate difference. Based on the water level growth rate difference, the precipitation anomaly influence coefficient BJ is obtained, wherein the greater the water level growth rate difference, the greater the precipitation anomaly influence coefficient BJ;

[0032] Presetting the light intensity threshold based on the material quality influence coefficient AC;

[0033] The light intensity information is compared with a preset light intensity threshold. If the light intensity information is greater than the preset light intensity threshold, the difference between the light intensity information and the preset light intensity threshold is calculated and recorded as the light intensity difference. The light abnormality influence coefficient BG is obtained based on the light intensity difference, wherein the light intensity difference is positively correlated with the light abnormality influence coefficient BG.

[0034] The second frequency influence coefficient BRH is calculated based on the second frequency function BRH=b1×BW+b2×BJ+b3×BG by combining the temperature anomaly influence coefficient BW, precipitation anomaly influence coefficient BJ and light anomaly influence coefficient BG, where b1, b2 and b3 are proportional factors and are all greater than 0;

[0035] The second area basic detection frequency of the dam body to be tested is determined based on the second frequency influence coefficient BRH, wherein the second frequency influence coefficient BRH is positively correlated with the second area basic detection frequency of the dam body to be tested.

[0036] Preferably, the basic detection frequency of the first area and the basic detection frequency of the second area are obtained and cached;

[0037] The basic detection frequency of the first area is added to the basic detection frequency of the second area to obtain the comprehensive area basic detection frequency.

[0038] Preferably, the area of ​​the dam body to be tested with historical maintenance conditions is marked as a key inspection area, wherein the historical maintenance conditions include information on the number of historical maintenance times and information on the degree of historical damage;

[0039] Based on the historical inspection frequency information and historical damage degree information of each key inspection area, the inspection frequency increase of each key inspection area, that is, the key area frequency increase, is obtained. The more historical inspection frequency information, the greater the key area frequency increase, and the more serious the historical damage degree information, the greater the key area frequency increase;

[0040] Based on the water level information of the dam body to be tested and the longitudinal division result, the detection frequency increase of each longitudinal division area is determined to obtain the longitudinal division frequency increase;

[0041] Determine the test frequency increment results of each area of ​​the dam body to be tested based on the frequency increment of key areas and the divided frequency increment;

[0042] The regional basic detection frequency of each area of ​​the dam body to be tested is added to the detection frequency value-added result to obtain the seepage detection frequency information of each area of ​​the dam body to be tested.

[0043] Preferably, based on the longitudinal division result, the area above the upper water level line of the dam body to be tested is recorded as the upper water level area, the area between the upper water level line and the lower water level line of the dam body to be tested is recorded as the water level fluctuation area, and the area below the lower water level line of the dam body to be tested is recorded as the lower water level area;

[0044] The frequency increment of the upper water level division of the upper water level area is set to 0;

[0045] Detecting the corrosiveness of the water flow around the lower water level area to obtain water flow corrosion performance information, and determining the frequency increase of the lower water level division of the lower water level area based on the water flow corrosion performance information, wherein the stronger the water flow corrosion performance information, the greater the frequency increase of the lower water level division of the lower water level area;

[0046] Detect the beating force of water flow in the water level fluctuation area on the dam body to be tested to obtain water flow beating force information, and determine the frequency increase of the fluctuation water level division in the water level fluctuation area based on the water flow beating force information, wherein the greater the water flow beating force information, the greater the frequency increase of the fluctuation water level division in the water level fluctuation area;

[0047] The upper water level division frequency increase, the lower water level division frequency increase and the fluctuating water level division frequency increase are combined to form a longitudinal division frequency increase.

[0048] Preferably, original image information of the dam body to be measured is obtained and cached;

[0049] Acquire a shooting unit and establish a signal connection link between the shooting unit and the dam body to be tested, wherein the shooting unit includes an above-water camera and an underwater camera, wherein the above-water camera is used to shoot images of the upper water level area and the water level fluctuation area of ​​the dam body to be tested, and the underwater camera is used to shoot images of the lower water level area of ​​the dam body to be tested;

[0050] The upper water level area and the water level fluctuation area of ​​the dam body to be measured are photographed in real time by an above-water camera to obtain first photographed image information, and the lower water level area of ​​the dam body to be measured is photographed in real time by an underwater camera to obtain second photographed image information;

[0051] The first captured image information is combined with the second captured image information to obtain real-time captured image information of the dam body;

[0052] Compare the real-time image information of the dam body with the original image information of the dam body to be tested to obtain the dam body image comparison result, and determine whether cracks or damage occur based on the dam body image comparison result. If cracks or damage occur, output the dam body seepage determination result;

[0053] After receiving the dam body seepage determination result, the crack or damaged area is obtained based on the dam body image comparison result to obtain the crack damage area, and the dam body seepage degree is determined based on the crack damage area, wherein the larger the crack damage area, the higher the dam body seepage degree;

[0054] The dam body seepage determination result is combined with the dam body seepage degree to form a seepage detection result;

[0055] The seepage detection results are sent to the background monitoring system based on the wireless communication module.

[0056] In the second aspect, the present application provides a water conservancy project seepage intelligent monitoring system, which adopts the following technical solution:

[0057] A water conservancy project seepage intelligent monitoring system, comprising:

[0058] A region division module is configured to obtain the size information of the dam body to be measured and the water level information of the dam body to be measured in the water conservancy project, and divide the dam body to be measured into regions based on the size information of the dam body to be measured and the water level information of the dam body to be measured in the water conservancy project to obtain a region division result;

[0059] A first area basic inspection frequency analysis module is configured to determine the first area basic inspection frequency of the dam body to be tested based on the engineering scale, service life and material structure of the dam body to be tested;

[0060] A second area basic detection frequency analysis module is configured to analyze the second area basic detection frequency of the dam body to be tested based on the meteorological environment in which the dam body to be tested is located;

[0061] A comprehensive regional basic detection frequency analysis module is configured to obtain a comprehensive regional basic detection frequency according to the first regional basic detection frequency and the second regional basic detection frequency;

[0062] The seepage detection frequency analysis module is configured to mark the area with historical maintenance as the key detection area based on the regional division result, determine the detection frequency increase of the key detection area according to the historical maintenance situation to obtain the key area frequency increase, obtain the vertical division frequency increase based on the water level information of the dam body to be tested and the vertical division result, and obtain the seepage detection frequency information of each area of ​​the dam body to be tested based on the comprehensive regional basic detection frequency, the key area frequency increase and the division frequency increase;

[0063] The seepage detection module is configured to detect the seepage conditions in each area of ​​the dam body to be tested based on the seepage detection frequency information of each area of ​​the dam body to be tested to obtain the seepage detection results, and send the seepage detection results to the background monitoring system.

[0064] In summary, the present application includes at least one of the following beneficial technical effects:

[0065] 1. The dam body to be tested is divided into regions according to the size information of the dam body to be tested and the water level information of the dam body to be tested to obtain the regional division results, the basic inspection frequency of the first region of the dam body to be tested is determined based on the engineering scale, service life and material structure of the dam body to be tested, the basic inspection frequency of the second region of the dam body to be tested is analyzed based on the meteorological environment where the dam body to be tested is located, the basic inspection frequency of the first region and the basic inspection frequency of the second region are combined to obtain the basic inspection frequency of the comprehensive region, the frequency increase of the key region is obtained according to the historical maintenance situation, the vertical division frequency increase is obtained according to the water level information of the dam body to be tested and the vertical division result, the seepage detection frequency information of each region of the dam body to be tested is obtained by combining the basic inspection frequency of the comprehensive region, the frequency increase of the key region and the vertical division frequency increase, the seepage detection frequency information of each region of the dam body to be tested is obtained based on the seepage detection frequency information, the seepage situation of each region of the dam body to be tested is detected to obtain the seepage detection result, the detection accuracy of the seepage detection frequency of the dam body to be tested is improved, and then the accuracy of the seepage detection of the water conservancy project is improved;

[0066] 2. With the help of the longitudinal division results, the longitudinal division detection frequency increase of different areas of the dam body to be tested is analyzed respectively, wherein the upper water level division frequency increase of the upper water level area is set to 0, and the lower water level division frequency increase of the lower water level area is determined according to the water flow corrosion performance information around the lower water level area, and the fluctuation water level division frequency increase of the water level fluctuation area is obtained according to the water flow beating force information of the water flow fluctuation area. The longitudinal division frequency increase is obtained by analyzing the damage effect of the water flow on the dam body to be tested. When the damage effect of the water flow on the dam body to be tested is large, the seepage detection frequency is increased, thereby improving the detection accuracy of the longitudinal division frequency increase of the dam body to be tested;

[0067] 3. By taking images of the upper water level area and the water level fluctuation area, the first image information is obtained, and the second image information is obtained by taking images of the lower water level area. The first image information is fused with the second image information to obtain real-time image information of the dam body, thereby improving the accuracy of seepage detection of the dam body to be tested. The real-time image information of the dam body is compared with the original image information of the dam body to be tested to determine whether the dam body to be tested has cracks or damage. If there are cracks or damage, the dam body seepage determination result is output. The degree of seepage of the dam body is determined based on the dam body image comparison result, thereby improving the accuracy of seepage detection of the dam body to be tested. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 This is a schematic diagram of the process of the water conservancy project seepage intelligent monitoring method mainly embodied in this embodiment;

[0069] Figure 2 This is a schematic diagram of the modules of the intelligent monitoring system for seepage in water conservancy projects mainly embodied in this embodiment.

[0070] Figure numerals: 1. Area division module; 2. First area basic detection frequency analysis module; 3. Second area basic detection frequency analysis module; 4. Comprehensive area basic detection frequency analysis module; 5. Seepage detection frequency analysis module; 6. Seepage detection module. DETAILED DESCRIPTION

[0071] The present application is further described in detail below in conjunction with the accompanying drawings.

[0072] The embodiment of the present application discloses a method for intelligent monitoring of seepage in a water conservancy project.

[0073] A method for intelligent monitoring of seepage in a water conservancy project comprises the following steps:

[0074] Reference Figure 1 Step S1, obtaining the size information of the dam body to be measured in the water conservancy project and the water level information of the dam body to be measured, and dividing the dam body to be measured into regions based on the size information of the dam body to be measured in the water conservancy project and the water level information of the dam body to be measured to obtain a regional division result. Step S1 specifically includes the following sub-steps:

[0075] Step S11, obtaining the size information of the dam body to be measured in the water conservancy project, wherein the size information of the dam body to be measured includes the length information of the dam body to be measured and the slope width information of the dam body to be measured.

[0076] Step S12, based on the length information of the dam body to be measured, equally divide the lateral direction of the dam body to be measured to obtain a lateral division result.

[0077] Step S13, based on the water level information of the dam body to be tested, an upper water level line and a lower water level line of the dam body to be tested are obtained, wherein the upper water level line of the dam body to be tested is the highest water level, and the lower water level line of the dam body to be tested is the lowest water level.

[0078] Step S14, dividing the slope width information of the dam body to be measured based on the upper water level line and the lower water level line to obtain a longitudinal division result.

[0079] Step S15, combining the horizontal division result with the vertical division result to form a regional division result of the dam body to be measured.

[0080] In specific application, horizontal division is performed based on the length information of the dam body to be tested to obtain horizontal division results, and vertical division is performed based on the water level information of the dam body to be tested to obtain vertical division results. The horizontal division results and the vertical division results are combined to form regional division results. The dam body to be tested is divided into regions to provide data support for subsequent monitoring of the seepage conditions of the dam body to be tested.

[0081] Reference Figure 1, step S2, determining the frequency of basic inspection of the first area of ​​the dam body to be tested based on the engineering scale, service life and material structure of the dam body to be tested. Step S2 specifically includes the following sub-steps:

[0082] Step S21, obtaining the engineering scale information of the dam body to be tested, the service life information of the dam body to be tested, and the material structure information of the dam body to be tested, and caching the engineering scale information of the dam body to be tested, the service life information of the dam body to be tested, and the material structure information of the dam body to be tested.

[0083] Step S22, obtaining a scale impact comparison table, which includes impact coefficients of different project scales, and obtaining a scale impact coefficient AD based on the project scale information of the dam to be tested and the project scale in the scale impact comparison table, wherein the scale impact coefficient AD is positively correlated with the project scale information of the dam to be tested.

[0084] Step S23, obtaining a service life impact comparison table, which includes impact coefficients of different service lives, and obtaining a service life impact coefficient AG based on the service life information of the dam body to be tested and the service life in the service life impact comparison table, wherein the service life impact coefficient AG is positively correlated with the service life information of the dam body to be tested.

[0085] Step S24, the material structure information of the dam body to be tested includes the material quality information of the dam body to be tested and the structural design information of the dam body to be tested.

[0086] Step S25, obtaining a material quality impact comparison table, which includes impact coefficients of different material qualities, and obtaining a material quality impact coefficient AC based on the material quality information of the dam body to be tested and the material quality in the material quality impact comparison table, wherein the material quality impact coefficient AC is positively correlated with the material quality information of the dam body to be tested.

[0087] Step S26, judging the structural stability of the dam body to be measured based on the structural design information of the dam body to be measured, and obtaining the structural design influence coefficient AR based on the structural stability of the dam body to be measured, wherein the structural design influence coefficient AR is positively correlated with the structural stability of the dam body to be measured.

[0088] Step S27, based on the material quality influence coefficient AC and the structural design influence coefficient AR, The building’s own influence coefficient AQ is calculated, where ε1 and ε2 are proportional factors and are both greater than 0.

[0089] Step S28, comprehensively consider the scale influence coefficient AD, the service life influence coefficient AG and the building self influence coefficient AQ, and calculate the first frequency influence coefficient AWE based on the first frequency function AWE=a1×AD+a2×AG+a3×AQ, wherein a1, a2 and a3 are proportional factors and are all greater than 0.

[0090] Step S29: determining the basic detection frequency of the first area of ​​the dam body to be tested based on the first frequency influence coefficient AWE, wherein the first frequency influence coefficient AWE is positively correlated with the basic detection frequency of the first area of ​​the dam body to be tested.

[0091] In specific application, the scale influence coefficient AD is determined according to the engineering scale information of the dam body to be tested, the service life influence coefficient AG is determined according to the service life information of the dam body to be tested, the material quality influence coefficient AC is obtained based on the material quality information of the dam body to be tested, the structural design influence coefficient AR is obtained based on the structural design information of the dam body to be tested, the building's own influence coefficient AQ is obtained by combining the material quality influence coefficient AC and the structural design influence coefficient AR, the first frequency influence coefficient AWE is obtained by combining the building's own influence coefficient AQ, the scale influence coefficient AD and the service life influence coefficient AG, the basic inspection frequency of the first area is determined based on the first frequency influence coefficient AWE, and the accuracy of the basic inspection frequency of the first area of ​​the dam body to be tested is improved by analyzing the influence of the engineering scale, service life and material structure of the dam body to be tested on the basic inspection frequency of the dam body to be tested.

[0092] Reference Figure 1 , step S3, analyzing the basic detection frequency of the second area of ​​the dam body to be tested based on the meteorological environment where the dam body to be tested is located. Step S3 specifically includes the following sub-steps:

[0093] Step S31, detecting the meteorological environment information of the environment where the dam to be tested is located, the meteorological environment information includes temperature information, precipitation information and light intensity information.

[0094] Step S32, compare the temperature information with a preset temperature threshold, calculate the temperature difference when the temperature information exceeds the temperature threshold, record each temperature difference, calculate the time the dam body to be tested is at each temperature difference and record it as the abnormal temperature time.

[0095] Step S33, determining the temperature anomaly influence coefficient BW of the dam body to be tested based on the temperature difference and the abnormal temperature duration, wherein the temperature difference is positively correlated with the temperature anomaly influence coefficient BW, and the abnormal temperature duration is positively correlated with the temperature anomaly influence coefficient BW.

[0096] Step S34, based on the precipitation information and the water level information of the dam body to be tested, the speed of the water level rise of the dam body to be tested during precipitation is calculated to obtain the water level rise speed information.

[0097] Step S35, compare the water level rising speed information with the preset water level rising speed threshold. If the water level rising speed information is greater than the water level rising speed threshold, calculate the difference between the water level rising speed information and the water level rising speed threshold and record it as the water level growth rate difference. Based on the water level growth rate difference, obtain the precipitation anomaly impact coefficient BJ, wherein the greater the water level growth rate difference, the greater the precipitation anomaly impact coefficient BJ.

[0098] Step S36: presetting the light intensity threshold based on the material quality influence coefficient AC.

[0099] Step S37, compare the light intensity information with the preset light intensity threshold. If the light intensity information is greater than the preset light intensity threshold, calculate the difference between the light intensity information and the preset light intensity threshold and record it as the light intensity difference. Based on the light intensity difference, obtain the light anomaly influence coefficient BG, wherein the light intensity difference is positively correlated with the light anomaly influence coefficient BG.

[0100] Step S38, comprehensively consider the temperature anomaly influence coefficient BW, the precipitation anomaly influence coefficient BJ and the illumination anomaly influence coefficient BG, and calculate the second frequency influence coefficient BRH based on the second frequency function BRH=b1×BW+b2×BJ+b3×BG, wherein b1, b2 and b3 are proportional factors and are all greater than 0.

[0101] Step S39, determining the second area basic detection frequency of the dam body to be tested based on the second frequency influence coefficient BRH, wherein the second frequency influence coefficient BRH is positively correlated with the second area basic detection frequency of the dam body to be tested.

[0102] In specific application, the temperature anomaly influence coefficient BW is obtained through the temperature information of the environment in which the dam body to be tested is located, the precipitation anomaly influence coefficient BJ is obtained through the precipitation information of the environment in which the dam body to be tested is located, and the light anomaly influence coefficient BG is obtained through the light intensity information of the environment in which the dam body to be tested is located. The second frequency influence coefficient BRH is obtained by combining the anomaly influence coefficient BW, the precipitation anomaly influence coefficient BJ and the light anomaly influence coefficient BG. The basic inspection frequency of the second area of ​​the dam body to be tested is determined based on the second frequency influence coefficient BRH. By analyzing the influence of the temperature, precipitation and light intensity of the environment in which the dam body to be tested is located on the basic inspection frequency of the dam body to be tested, the accuracy of the basic inspection frequency of the second area of ​​the dam body to be tested is improved.

[0103] Reference Figure 1 , step S4, obtaining the comprehensive regional basic detection frequency according to the first regional basic detection frequency and the second regional basic detection frequency. Step S4 specifically includes the following sub-steps:

[0104] Step S41, obtaining the first area basic detection frequency and the second area basic detection frequency and performing cache processing.

[0105] Step S42: Add the first area basic detection frequency and the second area basic detection frequency to obtain a comprehensive area basic detection frequency.

[0106] In specific application, the basic inspection frequency of the first area is added to the basic inspection frequency of the second area to obtain the comprehensive regional basic inspection frequency, which improves the accuracy of the comprehensive regional basic inspection frequency of the dam to be tested.

[0107] Reference Figure 1 , step S5, based on the regional division results, mark the area with historical maintenance as the key detection area, determine the detection frequency increase of the key detection area according to the historical maintenance situation to obtain the key area frequency increase, obtain the vertical division frequency increase based on the water level information of the dam body to be tested and the vertical division result, and obtain the seepage detection frequency information of each area of ​​the dam body to be tested based on the comprehensive regional basic detection frequency, the key area frequency increase and the division frequency increase. Step S5 specifically includes the following sub-steps:

[0108] Step S51, marking the area with historical maintenance status in the dam body to be tested as a key detection area, and the historical maintenance status includes historical maintenance frequency information and historical damage degree information.

[0109] Step S52, based on the historical inspection times information and historical damage degree information of each key inspection area, obtain the inspection frequency increase of each key inspection area, that is, the key area frequency increase, wherein the more historical inspection times information, the greater the key area frequency increase, and the more serious the historical damage degree information, the greater the key area frequency increase.

[0110] Step S53, based on the water level information of the dam body to be tested and the longitudinal division result, the detection frequency increase of each longitudinal division area is determined to obtain the longitudinal division frequency increase. Step S53 specifically includes the following sub-steps:

[0111] Step S531, based on the longitudinal division result, the area above the upper water level line of the dam body to be tested is recorded as the upper water level area, the area between the upper water level line and the lower water level line of the dam body to be tested is recorded as the water level fluctuation area, and the area below the lower water level line of the dam body to be tested is recorded as the lower water level area.

[0112] Step S532, setting the upper water level division frequency increment of the upper water level area to 0.

[0113] Step S533, detecting the corrosiveness of the water flow around the lower water level area to obtain water flow corrosion performance information, and determining the lower water level division frequency increase of the lower water level area based on the water flow corrosion performance information, wherein the stronger the water flow corrosion performance information, the greater the lower water level division frequency increase of the lower water level area.

[0114] Step S534, detect the impact force of water flow in the water level fluctuation area on the dam body to be tested to obtain water flow impact force information, and determine the increase in the frequency of fluctuation water level division in the water level fluctuation area based on the water flow impact force information, wherein the greater the water flow impact force information, the greater the increase in the frequency of fluctuation water level division in the water level fluctuation area.

[0115] Step S535, the upper water level division frequency increase, the lower water level division frequency increase and the fluctuating water level division frequency increase are combined to form a vertical division frequency increase.

[0116] In specific application, the longitudinal division detection frequency increase of different areas in the longitudinal division results of the dam body to be tested is analyzed respectively, wherein the upper water level division frequency increase of the upper water level area is set to 0, and the lower water level division frequency increase of the lower water level area is determined according to the water flow corrosion performance information around the lower water level area, and the fluctuation water level division frequency increase of the water level fluctuation area is obtained according to the water flow beating force information in the water flow fluctuation area. The longitudinal division frequency increase is obtained by analyzing the damage effect of the water flow on the dam body to be tested. When the damage effect of the water flow on the dam body to be tested is large, the seepage detection frequency is increased, thereby improving the detection accuracy of the longitudinal division frequency increase of the dam body to be tested.

[0117] Step S54, determining the detection frequency increment results of each area of ​​the dam body to be tested based on the frequency increment of the key area and the division frequency increment.

[0118] Step S55, adding the regional basic detection frequency of each area of ​​the dam body to be tested and the detection frequency increment result to obtain the seepage detection frequency information of each area of ​​the dam body to be tested.

[0119] In specific applications, the frequency increase of key areas is obtained through the historical maintenance times information and historical damage degree information of key inspection areas in the dam body to be tested. The inspection frequency increase of each longitudinally divided area is determined based on the water level information of the dam body to be tested and the longitudinal division result to obtain the longitudinal division frequency increase. The inspection frequency value-added result of each area is determined according to the frequency increase of key areas and the division frequency increase. The seepage inspection frequency information of each area of ​​the dam body to be tested is obtained based on the regional basic inspection frequency of each area of ​​the dam body to be tested and the inspection frequency value-added result of each area, thereby improving the accuracy of the seepage inspection frequency information of the dam body to be tested.

[0120] Reference Figure 1 , step S6, based on the seepage detection frequency information of each area of ​​the dam body to be tested, the seepage conditions of each area of ​​the dam body to be tested are detected to obtain the seepage detection results, and the seepage detection results are sent to the background monitoring system. Step S6 specifically includes the following sub-steps:

[0121] Step S61, obtaining original image information of the dam body to be tested and performing buffering processing on the original image information of the dam body to be tested.

[0122] Step S62, obtain a shooting unit and establish a signal connection link between the shooting unit and the dam body to be tested, the shooting unit includes an above-water camera and an underwater camera, wherein the above-water camera is used to shoot images of the upper water level area and the water level fluctuation area of ​​the dam body to be tested, and the underwater camera is used to shoot the lower water level area of ​​the dam body to be tested.

[0123] Step S63, using the above-water camera to take real-time photos of the upper water level area and the water level fluctuation area of ​​the dam body to be measured to obtain first photographed image information, and using the underwater camera to take real-time photos of the lower water level area of ​​the dam body to be measured to obtain second photographed image information.

[0124] Step S64: The first captured image information and the second captured image information are merged to obtain real-time captured image information of the dam body.

[0125] Step S65, compare the real-time image information of the dam body with the original image information of the dam body to be tested to obtain a dam body image comparison result, and determine whether cracks or damage occur based on the dam body image comparison result. If cracks or damage occur, output the dam body seepage determination result.

[0126] Step S66, after receiving the dam body seepage determination result, the crack or damaged area is obtained based on the dam body image comparison result to obtain the crack damage area, and the dam body seepage degree is determined based on the crack damage area, wherein the larger the crack damage area, the higher the dam body seepage degree.

[0127] Step S67, the dam body seepage determination result is combined with the dam body seepage degree to form a seepage detection result.

[0128] Step S68, sending the seepage detection result to the background monitoring system based on the wireless communication module. It should be noted that the wireless communication module in the embodiment of the present application refers to a wireless communication module based on wireless Bluetooth technology.

[0129] In specific application, first captured image information is obtained by capturing images of the upper water level area and the water level fluctuation area, and second captured image information is obtained by capturing images of the lower water level area. The first captured image information and the second captured image information are fused to obtain real-time captured image information of the dam body, thereby improving the accuracy of seepage detection of the dam body to be tested. The real-time captured image information of the dam body is compared with the original image information of the dam body to be tested to determine whether cracks or damage occur in the dam body to be tested. If cracks or damage occur, the dam body seepage determination result is output, and the degree of seepage of the dam body is determined based on the dam body image comparison result, thereby improving the accuracy of seepage detection of the dam body to be tested.

[0130] The embodiment of the present application also discloses an intelligent seepage monitoring system for water conservancy projects.

[0131] Reference Figure 2, a water conservancy project seepage intelligent monitoring system includes:

[0132] A region division module is configured to obtain the size information of the dam body to be measured and the water level information of the dam body to be measured in the water conservancy project, and divide the dam body to be measured into regions based on the size information of the dam body to be measured and the water level information of the dam body to be measured in the water conservancy project to obtain a region division result;

[0133] A first area basic inspection frequency analysis module is configured to determine the first area basic inspection frequency of the dam body to be tested based on the engineering scale, service life and material structure of the dam body to be tested;

[0134] A second area basic detection frequency analysis module is configured to analyze the second area basic detection frequency of the dam body to be tested based on the meteorological environment in which the dam body to be tested is located;

[0135] A comprehensive regional basic detection frequency analysis module is configured to obtain a comprehensive regional basic detection frequency according to the first regional basic detection frequency and the second regional basic detection frequency;

[0136] The seepage detection frequency analysis module is configured to mark the area with historical maintenance as the key detection area based on the regional division result, determine the detection frequency increase of the key detection area according to the historical maintenance situation to obtain the key area frequency increase, obtain the vertical division frequency increase based on the water level information of the dam body to be tested and the vertical division result, and obtain the seepage detection frequency information of each area of ​​the dam body to be tested based on the comprehensive regional basic detection frequency, the key area frequency increase and the division frequency increase;

[0137] The seepage detection module is configured to detect the seepage conditions in each area of ​​the dam body to be tested based on the seepage detection frequency information of each area of ​​the dam body to be tested to obtain the seepage detection results, and send the seepage detection results to the background monitoring system.

[0138] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for intelligent monitoring of seepage in a water conservancy project, characterized in that: The following steps are involved: Acquire the size information of the dam body to be measured and the water level information of the dam body to be measured in the water conservancy project, and divide the dam body to be measured into regions based on the size information of the dam body to be measured and the water level information of the dam body to be measured in the water conservancy project to obtain a region division result; Determine the frequency of basic inspection of the first area of ​​the dam body to be tested based on the project scale, service life and material structure of the dam body to be tested; Analyze the basic inspection frequency of the second area of ​​the dam body to be tested based on the meteorological environment of the dam body to be tested; Obtaining the comprehensive regional basic detection frequency according to the first regional basic detection frequency and the second regional basic detection frequency; Based on the regional division results, the areas with historical maintenance conditions are marked as key inspection areas. The inspection frequency increase of the key inspection areas is determined according to the historical maintenance conditions to obtain the frequency increase of the key areas. The vertical division frequency increase is obtained based on the water level information of the dam body to be tested and the vertical division results. The seepage detection frequency information of each area of ​​the dam body to be tested is obtained based on the comprehensive regional basic inspection frequency, the frequency increase of the key areas and the division frequency increase. Based on the seepage detection frequency information of each area of ​​the dam body to be tested, the seepage conditions of each area of ​​the dam body to be tested are detected to obtain the seepage detection results, and the seepage detection results are sent to the background monitoring system.

2. The method for intelligent monitoring of water conservancy project seepage according to claim 1, characterized in that: The steps of obtaining the size information of the dam body to be measured and the water level information of the dam body to be measured in the water conservancy project, and dividing the dam body to be measured into regions based on the size information of the dam body to be measured and the water level information of the dam body to be measured in the water conservancy project to obtain the regional division result specifically include: Acquire the size information of the dam body to be measured in the water conservancy project, wherein the size information of the dam body to be measured includes the length information of the dam body to be measured and the width information of the inclined surface of the dam body to be measured; Based on the length information of the dam body to be measured, the lateral direction of the dam body to be measured is equally divided to obtain a lateral division result; Based on the water level information of the dam body to be tested, an upper water level line of the dam body to be tested and a lower water level line of the dam body to be tested are obtained; Based on the upper water level line and the lower water level line, the slope width information of the dam body to be measured is divided to obtain a longitudinal division result; The horizontal division result and the vertical division result are combined to form the regional division result of the dam body to be measured.

3. The method for intelligent monitoring of water conservancy project seepage according to claim 2, characterized in that: The steps of determining the frequency of basic inspection of the first area of ​​the dam body to be tested based on the engineering scale, service life and material structure of the dam body to be tested specifically include: Acquire engineering scale information of the dam body to be tested, service life information of the dam body to be tested, and material structure information of the dam body to be tested, and cache the engineering scale information of the dam body to be tested, service life information of the dam body to be tested, and material structure information of the dam body to be tested; Determine the scale influence coefficient AD based on the engineering scale information of the dam body to be measured, wherein the scale influence coefficient AD is positively correlated with the engineering scale information of the dam body to be measured; Determine the service life influence coefficient AG based on the service life information of the dam body to be tested, wherein the service life influence coefficient AG is positively correlated with the service life information of the dam body to be tested; The material structure information of the dam body to be tested includes the material quality information of the dam body to be tested and the structural design information of the dam body to be tested; The material quality influence coefficient AC is obtained based on the material quality information of the dam body to be tested, wherein the material quality influence coefficient AC is positively correlated with the material quality information of the dam body to be tested; The structural stability of the dam body to be tested is determined based on the structural design information of the dam body to be tested, and the structural design influence coefficient AR is obtained based on the structural stability of the dam body to be tested, wherein the structural design influence coefficient AR is positively correlated with the structural stability of the dam body to be tested; According to the material quality influence coefficient AC and the structural design influence coefficient AR, based on the building function The building's own influence coefficient AQ is calculated, where ε1 and ε2 are proportional factors and are both greater than 0; The first frequency influence coefficient AWE is calculated based on the first frequency function AWE=a1×AD+a2×AG+a3×AQ by combining the scale influence coefficient AD, the service life influence coefficient AG and the building self influence coefficient AQ, where a1, a2 and a3 are proportional factors and are all greater than 0; The basic detection frequency of the first area of ​​the dam body to be tested is determined based on the first frequency influence coefficient AWE, wherein the first frequency influence coefficient AWE is positively correlated with the basic detection frequency of the first area of ​​the dam body to be tested.

4. The method for intelligent monitoring of water conservancy project seepage according to claim 3, characterized in that: The step of analyzing the basic detection frequency of the second area of ​​the dam body to be tested based on the meteorological environment in which the dam body to be tested is located specifically includes: Detecting meteorological environment information of the environment in which the dam to be tested is located, wherein the meteorological environment information includes temperature information, precipitation information, and light intensity information; Compare the temperature information with the preset temperature threshold, calculate the temperature difference when the temperature information exceeds the temperature threshold, record each temperature difference, calculate the time the dam body to be tested is at each temperature difference and record it as the abnormal temperature time; The temperature anomaly influence coefficient BW of the dam body to be tested is determined based on the temperature difference and the abnormal temperature duration, wherein the temperature difference is positively correlated with the temperature anomaly influence coefficient BW, and the abnormal temperature duration is positively correlated with the temperature anomaly influence coefficient BW; Based on the precipitation information and the water level information of the dam body to be tested, the speed at which the water level of the dam body to be tested rises during precipitation is calculated to obtain the water level rising speed information; The water level rise speed information is compared with the preset water level rise speed threshold. If the water level rise speed information is greater than the water level rise speed threshold, the difference between the water level rise speed information and the water level rise speed threshold is calculated and recorded as the water level growth rate difference. Based on the water level growth rate difference, the precipitation anomaly influence coefficient BJ is obtained, wherein the greater the water level growth rate difference, the greater the precipitation anomaly influence coefficient BJ; Presetting the light intensity threshold based on the material quality influence coefficient AC; The light intensity information is compared with a preset light intensity threshold. If the light intensity information is greater than the preset light intensity threshold, the difference between the light intensity information and the preset light intensity threshold is calculated and recorded as the light intensity difference. The light abnormality influence coefficient BG is obtained based on the light intensity difference, wherein the light intensity difference is positively correlated with the light abnormality influence coefficient BG. The second frequency influence coefficient BRH is calculated based on the second frequency function BRH=b1×BW+b2×BJ+b3×BG by combining the temperature anomaly influence coefficient BW, precipitation anomaly influence coefficient BJ and light anomaly influence coefficient BG, where b1, b2 and b3 are proportional factors and are all greater than 0; The second area basic detection frequency of the dam body to be tested is determined based on the second frequency influence coefficient BRH, wherein the second frequency influence coefficient BRH is positively correlated with the second area basic detection frequency of the dam body to be tested.

5. The method for intelligent monitoring of seepage in a water conservancy project according to claim 4, characterized in that: The step of obtaining the comprehensive regional basic detection frequency according to the first regional basic detection frequency and the second regional basic detection frequency specifically includes: Obtaining the basic detection frequency of the first area and the basic detection frequency of the second area and performing cache processing; The basic detection frequency of the first area is added to the basic detection frequency of the second area to obtain the comprehensive area basic detection frequency.

6. A method for intelligent monitoring of seepage in a water conservancy project according to claim 5, characterized in that: Based on the regional division results, the areas with historical maintenance conditions are marked as key inspection areas, the inspection frequency increase of the key inspection areas is determined according to the historical maintenance conditions to obtain the frequency increase of the key areas, the vertical division frequency increase is obtained based on the water level information of the dam body to be tested and the vertical division results, and the seepage detection frequency information of each area of ​​the dam body to be tested is obtained based on the comprehensive regional basic inspection frequency, the frequency increase of the key areas and the division frequency increase, specifically including: Marking the area with historical maintenance status in the dam body to be tested as a key inspection area, wherein the historical maintenance status includes information on the number of historical maintenance and the degree of historical damage; Based on the historical inspection frequency information and historical damage degree information of each key inspection area, the inspection frequency increase of each key inspection area, that is, the key area frequency increase, is obtained. The more historical inspection frequency information, the greater the key area frequency increase, and the more serious the historical damage degree information, the greater the key area frequency increase; Based on the water level information of the dam body to be tested and the longitudinal division result, the detection frequency increase of each longitudinal division area is determined to obtain the longitudinal division frequency increase; Determine the test frequency increment results of each area of ​​the dam body to be tested based on the frequency increment of key areas and the divided frequency increment; The regional basic detection frequency of each area of ​​the dam body to be tested is added to the detection frequency value-added result to obtain the seepage detection frequency information of each area of ​​the dam body to be tested.

7. A method for intelligent monitoring of seepage in a water conservancy project according to claim 6, characterized in that: The step of determining the detection frequency increase of each longitudinally divided area based on the water level information of the dam body to be tested and the longitudinal division result to obtain the longitudinal division frequency increase specifically includes: Based on the longitudinal division results, the area above the upper water level line of the dam body to be tested is recorded as the upper water level area, the area between the upper water level line and the lower water level line of the dam body to be tested is recorded as the water level fluctuation area, and the area below the lower water level line of the dam body to be tested is recorded as the lower water level area; The frequency increment of the upper water level division of the upper water level area is set to 0; Detecting the corrosiveness of the water flow around the lower water level area to obtain water flow corrosion performance information, and determining the frequency increase of the lower water level division of the lower water level area based on the water flow corrosion performance information, wherein the stronger the water flow corrosion performance information, the greater the frequency increase of the lower water level division of the lower water level area; Detect the beating force of water flow in the water level fluctuation area on the dam body to be tested to obtain water flow beating force information, and determine the frequency increase of the fluctuation water level division in the water level fluctuation area based on the water flow beating force information, wherein the greater the water flow beating force information, the greater the frequency increase of the fluctuation water level division in the water level fluctuation area; The upper water level division frequency increase, the lower water level division frequency increase and the fluctuating water level division frequency increase are combined to form a longitudinal division frequency increase.

8. The method for intelligent monitoring of water conservancy project seepage according to claim 7, characterized in that: The steps of detecting the seepage conditions of each area of ​​the dam body to be tested based on the seepage detection frequency information of each area of ​​the dam body to be tested to obtain the seepage detection results, and sending the seepage detection results to the background monitoring system specifically include: Acquire the original image information of the dam body to be tested and cache the original image information of the dam body to be tested; Acquire a shooting unit and establish a signal connection link between the shooting unit and the dam body to be tested, wherein the shooting unit includes an above-water camera and an underwater camera, wherein the above-water camera is used to shoot images of the upper water level area and the water level fluctuation area of ​​the dam body to be tested, and the underwater camera is used to shoot images of the lower water level area of ​​the dam body to be tested; The upper water level area and the water level fluctuation area of ​​the dam body to be measured are photographed in real time by an above-water camera to obtain first photographed image information, and the lower water level area of ​​the dam body to be measured is photographed in real time by an underwater camera to obtain second photographed image information; The first captured image information is merged with the second captured image information to obtain real-time captured image information of the dam body; Compare the real-time image information of the dam body with the original image information of the dam body to be tested to obtain the dam body image comparison result, and determine whether cracks or damage occur based on the dam body image comparison result. If cracks or damage occur, output the dam body seepage determination result; After receiving the dam body seepage determination result, the crack or damaged area is obtained based on the dam body image comparison result to obtain the crack damage area, and the dam body seepage degree is determined based on the crack damage area, wherein the larger the crack damage area, the higher the dam body seepage degree; The dam body seepage determination result is combined with the dam body seepage degree to form a seepage detection result; The seepage detection results are sent to the background monitoring system based on the wireless communication module.

9. An intelligent seepage monitoring system for water conservancy projects, characterized in that: The water conservancy project seepage intelligent monitoring system is used to implement the water conservancy project seepage intelligent monitoring method according to any one of claims 1 to 8, comprising: A region division module is configured to obtain the size information of the dam body to be measured and the water level information of the dam body to be measured in the water conservancy project, and divide the dam body to be measured into regions based on the size information of the dam body to be measured and the water level information of the dam body to be measured in the water conservancy project to obtain a region division result; A first area basic inspection frequency analysis module is configured to determine the first area basic inspection frequency of the dam body to be tested based on the engineering scale, service life and material structure of the dam body to be tested; A second area basic detection frequency analysis module is configured to analyze the second area basic detection frequency of the dam body to be tested based on the meteorological environment in which the dam body to be tested is located; A comprehensive regional basic detection frequency analysis module is configured to obtain a comprehensive regional basic detection frequency according to the first regional basic detection frequency and the second regional basic detection frequency; The seepage detection frequency analysis module is configured to mark the area with historical maintenance as the key detection area based on the regional division result, determine the detection frequency increase of the key detection area according to the historical maintenance situation to obtain the key area frequency increase, obtain the vertical division frequency increase based on the water level information of the dam body to be tested and the vertical division result, and obtain the seepage detection frequency information of each area of ​​the dam body to be tested based on the comprehensive regional basic detection frequency, the key area frequency increase and the division frequency increase; The seepage detection module is configured to detect the seepage conditions in each area of ​​the dam body to be tested based on the seepage detection frequency information of each area of ​​the dam body to be tested to obtain the seepage detection results, and send the seepage detection results to the background monitoring system.

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