Intelligent sensor-based vertical surface measurement system and method for dam gate slot

Abstract

The present application relates to the field of gate slot measurement technology, and in particular to a vertical surface measurement system and method for a dam gate slot based on an intelligent sensor, the steps of which include: collecting a vertical surface image of the gate slot, vertical surface flow velocity data, vertical surface water level data, vertical surface height data, and vertical surface sealing pressure data; extracting pit data from the vertical surface image and evaluating the vertical surface flatness based on the pit data; evaluating the degree of influence of vertical surface dry-wet alternation based on the vertical surface water level data and obtaining the degree of vertical surface erosion in combination with the vertical surface flatness; estimating the gate tightness by combining the degree of vertical surface erosion and the vertical surface sealing pressure data, and providing a gate tightness warning based on the gate tightness estimation result. The present application improves the scientificity and accuracy of the gate tightness assessment by quantifying the vertical surface flatness of the gate slot and the influence of the vertical surface dry-wet alternation cycle on the degree of vertical surface erosion.

Description

Technical Field

[0001] The present application relates to the technical field of gate slot measurement, and in particular to a system and method for measuring the vertical surface of a dam gate slot based on an intelligent sensor. Background Art

[0002] As a flow control device, the gate is an important component of hydraulic structures such as reservoirs, sluices, hydropower stations, pumping stations and ship locks. It has the dual functions of retaining and discharging water and is widely used in water conservancy and hydropower hubs such as flood control, waterlogging control, irrigation, water supply, shipping, and power generation. It plays an important role in controlling water flow, regulating flow, dispatching reservoirs and comprehensive utilization of water resources.

[0003] The gate slot is the walking and supporting structure of the gate. However, the existence of the gate slot brings a series of hydraulic problems. When high-speed water flows through the gate slot, cavitation water flow is likely to occur due to the sudden change of the water flow boundary at the gate slot, causing cavitation and even cavitation on the vertical surface of the gate slot. In mild cases, pitting and honeycombing will appear, and in severe cases, the vertical surface of the gate slot will be damaged on a large scale, directly threatening the safe operation of the project.

[0004] In the process of evaluating the degree of corrosion of the vertical surface of the gate slot, the flatness of the vertical surface and the dry-wet alternation cycle of the vertical surface are important factors affecting the degree of corrosion assessment. Among them, areas with poor vertical surface flatness will lead to increased local flow velocity, forming turbulent areas and pressure gradients, leading to enhanced cavitation, and frequent dry-wet alternation processes will expose the vertical surface to a changing oxygen and humidity environment, accelerating the corrosion and damage process. However, the existing gate slot vertical surface measurement methods usually ignore the impact of vertical surface flatness and vertical surface dry-wet alternation cycle on the degree of corrosion when evaluating the degree of corrosion of the vertical surface of the gate slot, resulting in low accuracy of the corrosion assessment results, and failure to timely detect and deal with the corrosion of the vertical surface of the gate slot, which in turn affects the sealing performance and overall operational reliability of the gate. Summary of the invention

[0005] In order to overcome the defects and shortcomings of the prior art, the present application provides a dam gate slot vertical surface measurement system and method based on intelligent sensors, which improves the scientificity and accuracy of the gate airtightness assessment by quantifying the vertical surface flatness of the gate slot and the impact of the vertical surface dry-wet alternating cycle on the degree of vertical surface erosion.

[0006] In order to achieve the above objectives, this application adopts the following technical solutions:

[0007] In a first aspect, the present application provides a method for measuring a vertical surface of a dam gate slot based on an intelligent sensor, comprising the following steps:

[0008] Collect the vertical surface image of the gate slot, vertical surface flow velocity data, vertical surface water level data, vertical surface height data and vertical surface sealing pressure data;

[0009] Extracting pit data from the vertical surface image and evaluating the vertical surface flatness based on the pit data;

[0010] Based on the vertical surface water level data, the influence of alternating dryness and wetness on the vertical surface is evaluated, and the vertical surface erosion degree is obtained in combination with the vertical surface flatness;

[0011] The gate tightness is estimated based on the vertical surface erosion degree and vertical surface sealing pressure data, and a gate tightness warning is issued based on the gate tightness estimation results.

[0012] Preferably, the evaluating the vertical surface flatness based on the etch pit data comprises:

[0013] Obtaining a vertical plane image of the gate slot and extracting pit data in the vertical plane image, the pit data including the area, depth, number and position coordinates of the pits;

[0014] The vertical surface flatness is calculated by the etch pit data. The vertical surface flatness calculation formula is: ;

[0015] In the formula Indicates The location coordinates of the erosion pits, Indicates The adjacent erosion pit The location coordinates of the erosion pits, Indicates The first pit and the adjacent The Euclidean distance between pits, Indicates The Euclidean distance between a pit and its nearest neighbor, Indicates The area of ​​the pit, represents the vertical surface area, Indicates The depth of the pit, Indicates the thickness of the vertical surface of the door slot. represents the number of erosion pits, represents the first adjustment factor, Indicates the flatness of the vertical surface.

[0016] Preferably, the evaluating the influence degree of alternating dryness and wetness on the vertical surface based on the vertical surface water level data comprises:

[0017] Obtain vertical surface water level data and vertical surface height data, the vertical surface water level data includes the vertical surface water level height and the corresponding acquisition time;

[0018] The vertical surface dry-wet alternation cycle is identified through the vertical surface water level data. The vertical surface dry-wet alternation cycle includes a vertical surface water level rising stage and a vertical surface water level falling stage.

[0019] The vertical surface dry-wet alternation impact index is calculated by the vertical surface dry-wet alternation cycle. The vertical surface dry-wet alternation impact index is used to quantify the impact of dry-wet alternation on vertical surface erosion. The vertical surface dry-wet alternation impact index calculation formula is: ;

[0020] In the formula Indicates The height of the vertical surface water level rise during the dry-wet alternation cycle of the vertical surface, Indicates the maximum value of the vertical water level. Indicates The vertical surface water level rise time in the vertical surface dry-wet alternation cycle, It represents the mean time of vertical water level rise. Indicates The height of vertical surface water level drop during the dry-wet alternation cycle of the vertical surface, Indicates The vertical surface water level drop time in the vertical surface dry-wet alternation cycle, It represents the mean time of vertical water level drop. Represents the number of dry-wet alternating cycles on the vertical surface, Represents the vertical surface wet-dry alternation impact index.

[0021] Preferably, obtaining the vertical surface erosion degree comprises:

[0022] Obtain vertical surface flatness and vertical surface dry-wet alternation impact index;

[0023] The vertical surface corrosion index is calculated by the vertical surface flatness and the vertical surface dry-wet alternation influence index. The vertical surface corrosion index is used to quantify the degree of vertical surface corrosion. The vertical surface corrosion index calculation formula is: ;

[0024] In the formula Indicates the flatness of the vertical surface. It represents the vertical surface wet-dry alternation impact index. represents the second adjustment factor, Indicates the vertical surface corrosion index.

[0025] Preferably, the estimating the airtightness of the gate includes:

[0026] Obtain vertical face sealing pressure data and vertical face erosion index;

[0027] The gate tightness index is calculated by the vertical surface sealing pressure data and the vertical surface erosion index. The gate tightness index is used to quantify the gate tightness. The calculation formula of the gate tightness index is: ;

[0028] In the formula Indicates The vertical surface sealing pressure data obtained by the pressure sensor, Indicates the standard sealing pressure data of the vertical surface. Indicates the number of pressure sensors, represents the vertical surface corrosion index, represents the vertical face seal pressure weight, represents the vertical surface erosion weight, Indicates the gate tightness index.

[0029] Preferably, the gate tightness warning is performed according to the gate tightness estimation result, including:

[0030] Get the gate tightness index. When the gate tightness index is less than the preset gate tightness threshold, a gate tightness warning is issued. When the gate tightness index is greater than or equal to the preset gate tightness threshold, no gate tightness warning is issued.

[0031] It should be noted here that the first adjustment factor, the second adjustment factor, the vertical surface sealing pressure weight, the vertical surface erosion weight and the preset gate tightness threshold are determined as follows: 5000 sets of vertical surface images, vertical surface flow velocity data, vertical surface water level data, vertical surface height data and vertical surface sealing pressure data are collected to distinguish whether the gate tightness meets the tightness requirements, and the vertical surface images, vertical surface flow velocity data, vertical surface water level data, vertical surface height data and vertical surface sealing pressure data are substituted into the gate tightness index calculation formula for calculation, and the calculated gate tightness index and the distinction result are simultaneously imported into the fitting software, and the optimal first adjustment factor, the second adjustment factor, the vertical surface sealing pressure weight, the vertical surface erosion weight and the preset gate tightness threshold that meet the distinction accuracy of the distinction result are output.

[0032] In a second aspect, the present application provides a dam gate slot vertical surface measurement system based on an intelligent sensor, comprising:

[0033] A data acquisition module is used to collect the vertical surface image of the gate slot, the vertical surface flow velocity data, the vertical surface water level data, the vertical surface height data and the vertical surface sealing pressure data;

[0034] A vertical surface flatness evaluation module is used to extract pit data in the vertical surface image and evaluate the vertical surface flatness based on the pit data;

[0035] The vertical surface erosion degree assessment module is used to assess the influence of alternating dryness and wetness on the vertical surface based on the vertical surface water level data and obtain the vertical surface erosion degree in combination with the vertical surface flatness;

[0036] The gate tightness warning module is used to estimate the gate tightness based on the vertical surface erosion degree and vertical surface sealing pressure data, and to issue a gate tightness warning based on the gate tightness prediction results.

[0037] In a third aspect, the present application provides an electronic device comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, and the processor executes a method for measuring the vertical surface of a dam gate slot based on an intelligent sensor by calling the computer program stored in the memory.

[0038] In a fourth aspect, the present application provides a computer-readable storage medium storing instructions, which, when executed on a computer, enable the computer to execute a method for measuring the vertical surface of a dam gate slot based on an intelligent sensor.

[0039] Compared with the prior art, this application has the following advantages and beneficial effects:

[0040] This application first evaluates the vertical surface flatness of the gate slot by extracting the erosion pit data in the vertical surface image, then quantifies the impact of the vertical surface dry-wet alternation through the vertical surface water level data and evaluates the vertical surface erosion degree in combination with the vertical surface flatness, thereby improving the scientificity and accuracy of the vertical surface erosion degree evaluation. Finally, the vertical surface erosion degree and the vertical surface sealing pressure data are combined to evaluate the gate tightness, thereby improving the accuracy and reliability of the gate tightness evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0042] Figure 1 It is a schematic diagram of the overall process of the method for measuring the vertical surface of the dam gate slot based on the intelligent sensor provided in the embodiment of the present application;

[0043] Figure 2 It is a schematic diagram of the vortex area of ​​the gate slot water flow provided in the embodiment of the present application;

[0044] Figure 3 It is a structural schematic diagram of a dam gate slot vertical surface measurement system based on an intelligent sensor provided in an embodiment of the present application;

[0045] Figure 4 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0046] The technical solution of the present application is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations on the technical solution of the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0047] like Figure 1 As shown, Figure 1 The overall process diagram of the method for measuring the vertical surface of the dam gate slot based on the intelligent sensor provided in the embodiment of the present application specifically includes the following steps:

[0048] S110: Collecting the vertical surface image of the gate slot, vertical surface flow velocity data, vertical surface water level data, vertical surface height data and vertical surface sealing pressure data.

[0049] S120: extracting pit data in the vertical surface image and evaluating the vertical surface flatness based on the pit data;

[0050] The vertical surface of the gate slot is the part where the gate contacts the gate frame and is an important guarantee area for the gate's tightness. The working environment of the gate is subject to high-speed water flow, humidity, corrosive substances and other factors. Long-term exposure to these factors may cause corrosion, wear, cavitation, and other problems on the vertical surface of the gate slot;

[0051] High-speed water flow often causes cavitation damage to water conservancy projects, and water flow at the gate slot is more likely to cause cavitation, such as Figure 2 As shown, Figure 2 Schematic diagram of the vortex area of ​​the gate slot water flow provided by the embodiment of the present application. When high-speed water flows through the gate slot, the water flow suddenly changes at the gate slot boundary, causing part of the water flow to be sucked into the gate slot. Since the water flow entering the slot has energy, a vortex is formed in the slot. When the pressure at the center of the vortex is lower than the vaporization pressure, vortex-type cavitation will occur, thereby generating extremely high instantaneous pressure locally. This huge impact force repeatedly acts on the vertical surface of the gate slot, causing serious erosion of the vertical surface of the gate slot. This phenomenon is called cavitation. If the vertical surface of the gate slot is corroded, it may cause the sealing surface to be uneven or loose, thereby affecting the sealing effect of the gate. The corrosion will cause the sealing device to fail, resulting in water leakage and even affecting the opening and closing function of the gate. The flatness of the vertical surface is evaluated based on the erosion pit data, including:

[0052] The vertical plane image of the gate slot is acquired by a depth camera and pit data in the vertical plane image is extracted. The pit data includes the area, depth, number and position coordinates of the pits. The steps of extracting the pit data in the vertical plane image include:

[0053] (1) Preprocessing the vertical surface image, which includes grayscale, denoising and contrast enhancement. Grayscale processing is used to convert the color image into a grayscale image to reduce processing complexity. Denoising processing removes noise in the image by using Gaussian filtering, median filtering or bilateral filtering while retaining edge details. Contrast enhancement processing enhances the contrast between the pit and the background by applying histogram equalization or CLAHE algorithm.

[0054] (2) Perform edge detection on the preprocessed vertical surface image, using the Sobel operator, Canny operator or Laplacian operator to detect edge features in the vertical surface image and highlight the boundaries of the erosion pits;

[0055] (3) Threshold segmentation: extract the pit area through the Otsu algorithm or adaptive threshold segmentation algorithm, aggregate the pixels in the pit area using the region growing method, and separate the pits through connected component analysis or contour extraction algorithm to obtain pit data;

[0056] The vertical surface flatness is calculated by the etch pit data. The vertical surface flatness calculation formula is: ;

[0057] In the formula Indicates The location coordinates of the erosion pits, Indicates The adjacent erosion pit The location coordinates of the erosion pits, Indicates The first pit and the adjacent The Euclidean distance between pits, Indicates The Euclidean distance between a pit and its nearest neighbor, , Indicates The horizontal coordinate of the location of the pit, Indicates The ordinate of the location of the pit, Indicates The adjacent erosion pit The horizontal coordinate of the location of the pit, Indicates The adjacent erosion pit The ordinate of the location of the pit, It represents the average nearest neighbor distance under ideal uniform distribution, that is, ideally each pit is surrounded by other uniformly distributed pits. The ratio of the average minimum Euclidean distance of the pits to the average nearest neighbor distance under ideal uniform distribution is calculated to quantify the degree of pit aggregation. When the pits are highly aggregated, obvious surface unevenness will be formed in the local area, resulting in an increase in the local flow velocity during flow, further generating turbulence and high-pressure gradients, aggravating erosion, cavitation and pressure concentration, and accelerating the erosion in the area. Indicates The area of ​​the pit, represents the vertical surface area, Indicates The depth of the pit, Indicates the thickness of the vertical surface of the door slot. represents the number of erosion pits, represents the first adjustment factor, Indicates the flatness of the vertical surface, where the vertical surface area Thickness of the surface perpendicular to the door groove Obtained through gate design specifications.

[0058] S130: Based on the vertical surface water level data, the influence of alternating dryness and wetness on the vertical surface is evaluated and the vertical surface erosion degree is obtained in combination with the vertical surface flatness;

[0059] The periodic change of water level causes the vertical surface of the door slot to experience periodic wetting and drying, which causes the vertical surface material to expand and contract, which may lead to the formation of cracks or microcracks. Long-term alternating wet and dry effects may gradually expand these cracks and even cause the surface to fall off or break. At the same time, long-term repeated cycles of wetting and drying will cause changes in the microstructure of the material surface, which may promote oxidation reactions. In steel structures, problems such as oxidation corrosion and metal fatigue may be aggravated. In materials such as concrete, frequent inflow and outflow of water due to alternating wet and dry effects may accelerate carbonization and reduce its durability. The impact of alternating wet and dry effects on the vertical surface is evaluated based on the vertical surface water level data, including:

[0060] Obtain vertical surface water level data and vertical surface height data, the vertical surface water level data includes the vertical surface water level height and the corresponding acquisition time;

[0061] The vertical surface wet-dry cycle is identified through the vertical surface water level data. The vertical surface wet-dry cycle includes a vertical surface water level rising stage and a vertical surface water level falling stage. The specific steps for identifying the vertical surface wet-dry cycle include: (1) local extreme value identification, obtaining the local maximum and local minimum values ​​of the vertical surface water level data. The local maximum value indicates that the water level has risen to the highest point and the end of the rising stage, and the local minimum value indicates that the water level has dropped to the lowest point and the end of the falling stage; (2) wet-dry cycle identification, dividing the time period between the adjacent local minimum points to the next local minimum point into a complete wet-dry cycle;

[0062] The vertical surface dry-wet alternation impact index is calculated by the vertical surface dry-wet alternation cycle. The vertical surface dry-wet alternation impact index is used to quantify the impact of dry-wet alternation on vertical surface erosion. The vertical surface dry-wet alternation impact index calculation formula is: ;

[0063] In the formula Indicates The height of the vertical surface water level rise during the dry-wet alternation cycle of the vertical surface, Indicates the maximum value of the vertical water level. It indicates the ratio of the water level rise to the vertical height. Indicates The vertical surface water level rise time in the vertical surface dry-wet alternation cycle, It represents the mean time of vertical water level rise. Indicates The height of vertical surface water level drop during the dry-wet alternation cycle of the vertical surface, It indicates the ratio of the water level drop to the vertical height. Indicates The vertical surface water level drop time in the vertical surface dry-wet alternation cycle, It represents the mean time of vertical water level drop. Represents the number of dry-wet alternating cycles on the vertical surface, represents the vertical surface wet-dry alternation impact index, where: and Describes the range of vertical surfaces that experience alternating wet and dry conditions. and Describes the frequency of alternating dryness and wetness. The higher the frequency, the greater the impact of alternating dryness and wetness on vertical surface erosion.

[0064] The vertical surface erosion index is calculated by the vertical surface flatness and the vertical surface wet-dry alternation influence index. The vertical surface flatness quantifies the degree of vertical surface flatness through the number, area, depth and position distribution of erosion pits in the vertical surface image. The lower the vertical surface flatness, the more uneven the vertical surface is and the more serious the erosion is. The vertical surface wet-dry alternation influence index comprehensively considers the influence range and frequency of wet-dry alternation on the vertical surface. The larger the vertical surface wet-dry alternation influence index, the more frequent and wide the wet-dry alternation experienced by the vertical surface, and the more significant the impact on the vertical surface erosion is. The vertical surface erosion degree is obtained, including:

[0065] Obtain vertical surface flatness and vertical surface dry-wet alternation impact index;

[0066] The vertical surface corrosion index is calculated by the vertical surface flatness and the vertical surface dry-wet alternation influence index. The vertical surface corrosion index is used to quantify the degree of vertical surface corrosion. The vertical surface corrosion index calculation formula is: ;

[0067] In the formula Indicates the flatness of the vertical surface. It represents the vertical surface wet-dry alternation impact index. represents the second adjustment factor, Indicates the vertical surface corrosion index.

[0068] S140: Estimate the gate tightness based on the vertical surface erosion degree and vertical surface sealing pressure data, and issue a gate tightness warning based on the gate tightness estimation results;

[0069] By evaluating the erosion of the vertical surface of the gate slot and combining it with the gate tightness pressure test, the gate tightness can be reasonably estimated, including:

[0070] Obtain vertical face sealing pressure data and vertical face erosion index;

[0071] The gate tightness index is calculated by the vertical surface sealing pressure data and the vertical surface erosion index. The gate tightness index is used to quantify the gate tightness. The calculation formula of the gate tightness index is: ;

[0072] In the formula Indicates The vertical surface sealing pressure data obtained by the pressure sensor, Indicates the standard sealing pressure data of the vertical surface. Indicates the degree to which the vertical surface sealing pressure data of the measuring point deviates from the standard value. Obtained through gate design specifications, Indicates the number of pressure sensors, represents the vertical surface corrosion index, represents the vertical face seal pressure weight, represents the vertical surface erosion weight, Indicates the gate tightness index;

[0073] According to the gate tightness estimation results, the gate tightness warning is carried out, including:

[0074] Get the gate tightness index. When the gate tightness index is less than the preset gate tightness threshold, a gate tightness warning is issued. When the gate tightness index is greater than or equal to the preset gate tightness threshold, no gate tightness warning is issued.

[0075] like Figure 3 As shown, Figure 3 : is a schematic diagram of the structure of a dam gate slot vertical plane measurement system based on an intelligent sensor provided in an embodiment of the present application. This embodiment provides a dam gate slot vertical plane measurement system based on an intelligent sensor, including:

[0076] The data acquisition module 210 is used to acquire the vertical plane image of the gate slot, the vertical plane flow velocity data, the vertical plane water level data, the vertical plane height data and the vertical plane sealing pressure data;

[0077] A vertical surface flatness evaluation module 220, for extracting pit data in the vertical surface image and evaluating the vertical surface flatness based on the pit data;

[0078] A vertical surface erosion degree assessment module 230, for assessing the degree of influence of alternating dryness and wetness on the vertical surface based on the vertical surface water level data and obtaining the vertical surface erosion degree in combination with the vertical surface flatness;

[0079] The gate tightness warning module 240 is used to estimate the gate tightness based on the vertical surface erosion degree and the vertical surface sealing pressure data, and to issue a gate tightness warning based on the gate tightness estimation result.

[0080] In the embodiment of the present application, the vertical surface flatness evaluation module 220 is used to extract pit data in the vertical surface image and evaluate the vertical surface flatness based on the pit data. The vertical surface flatness evaluation based on the pit data includes:

[0081] Obtaining a vertical plane image of the gate slot and extracting pit data in the vertical plane image, the pit data including the area, depth, number and position coordinates of the pits;

[0082] The vertical surface flatness is calculated by the etch pit data. The vertical surface flatness calculation formula is: ;

[0083] In the formula Indicates The location coordinates of the erosion pits, Indicates The adjacent erosion pit The location coordinates of the erosion pits, Indicates The first pit and the adjacent The Euclidean distance between pits, Indicates The Euclidean distance between a pit and its nearest neighbor, Indicates The area of ​​the pit, represents the vertical surface area, Indicates The depth of the pit, Indicates the thickness of the vertical surface of the door slot. represents the number of erosion pits, represents the first adjustment factor, Indicates the flatness of the vertical surface.

[0084] In the embodiment of the present application, the vertical surface erosion degree assessment module 230 is used to assess the vertical surface dry-wet alternation influence degree based on the vertical surface water level data and obtain the vertical surface erosion degree in combination with the vertical surface flatness. The vertical surface dry-wet alternation influence degree based on the vertical surface water level data is assessed, including:

[0085] Obtain vertical surface water level data and vertical surface height data, the vertical surface water level data includes the vertical surface water level height and the corresponding acquisition time;

[0086] The vertical surface dry-wet alternation cycle is identified through the vertical surface water level data. The vertical surface dry-wet alternation cycle includes a vertical surface water level rising stage and a vertical surface water level falling stage.

[0087] The vertical surface dry-wet alternation impact index is calculated by the vertical surface dry-wet alternation cycle. The vertical surface dry-wet alternation impact index is used to quantify the impact of dry-wet alternation on vertical surface erosion. The vertical surface dry-wet alternation impact index calculation formula is: ;

[0088] In the formula Indicates The height of the vertical surface water level rise during the dry-wet alternation cycle of the vertical surface, Indicates the maximum value of the vertical water level. Indicates The vertical surface water level rise time in the vertical surface dry-wet alternation cycle, It represents the mean time of vertical water level rise. Indicates The height of vertical surface water level drop during the dry-wet alternation cycle of the vertical surface, Indicates The vertical surface water level drop time in the vertical surface dry-wet alternation cycle, It represents the mean time of vertical water level drop. Represents the number of dry-wet alternating cycles on the vertical surface, It represents the vertical surface wet-dry alternation impact index;

[0089] Obtain vertical surface damage extent, including:

[0090] Obtain vertical surface flatness and vertical surface dry-wet alternation impact index;

[0091] The vertical surface corrosion index is calculated by the vertical surface flatness and the vertical surface dry-wet alternation influence index. The vertical surface corrosion index is used to quantify the degree of vertical surface corrosion. The vertical surface corrosion index calculation formula is:

[0092] ;

[0093] In the formula Indicates the flatness of the vertical surface. It represents the vertical surface wet-dry alternation impact index. represents the second adjustment factor, Indicates the vertical surface corrosion index.

[0094] In the embodiment of the present application, the gate tightness warning module 240 is used to estimate the gate tightness based on the vertical surface erosion degree and the vertical surface sealing pressure data, and to perform a gate tightness warning according to the gate tightness estimation result. The gate tightness estimation includes:

[0095] Obtain vertical face sealing pressure data and vertical face erosion index;

[0096] The gate tightness index is calculated by the vertical surface sealing pressure data and the vertical surface erosion index. The gate tightness index is used to quantify the gate tightness. The calculation formula of the gate tightness index is: ;

[0097] In the formula Indicates The vertical surface sealing pressure data obtained by the pressure sensor, Indicates the standard sealing pressure data of the vertical surface. Indicates the number of pressure sensors, represents the vertical surface corrosion index, represents the vertical face seal pressure weight, represents the vertical surface erosion weight, Indicates the gate tightness index;

[0098] According to the gate tightness estimation results, the gate tightness warning is carried out, including:

[0099] Get the gate tightness index. When the gate tightness index is less than the preset gate tightness threshold, a gate tightness warning is issued. When the gate tightness index is greater than or equal to the preset gate tightness threshold, no gate tightness warning is issued.

[0100] The above-mentioned parameters and steps for each unit module to implement corresponding functions in the dam gate slot vertical plane measurement system based on intelligent sensors of the present application can be referred to the parameters and steps in the embodiment of the dam gate slot vertical plane measurement method based on intelligent sensors above, and will not be repeated here.

[0101] like Figure 4 As shown, an embodiment of the present invention further provides an electronic device 300, including a memory 320 for storing a computer program 322; and a processor 310 for executing the computer program 322 to implement a method for measuring the vertical surface of a dam gate slot based on an intelligent sensor as in any of the above embodiments.

[0102] It should be noted that Figure 4 It is a structural diagram of an electronic device 300 according to an exemplary embodiment. The content in the diagram cannot be regarded as any limitation on the scope of application of the present invention.

[0103] Specifically, the electronic device 300 may include: at least one processor 310, at least one memory 320, a power supply 330, a communication interface 340, an input / output interface 350, and a communication bus 360. The memory 320 is used to store a computer program 322, which is loaded and executed by the processor 310 to implement the relevant steps in the vertical surface measurement method of the dam gate slot based on the intelligent sensor disclosed in any of the above embodiments. In addition, the electronic device 300 in the embodiment of the present invention may be specifically an electronic computer.

[0104] In an embodiment of the present invention, a power supply 330 is used to provide a working voltage for each hardware device on the electronic device 300; the communication interface 340 can create a data transmission channel between the electronic device 300 and an external device, and the communication protocol it follows is any communication protocol that can be applied to the technical solution of the present invention, and is not specifically limited here; the input and output interface 350 is used to obtain external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0105] In addition, the memory 320, as a carrier for storing resources, can be a read-only memory, a random access memory, a disk or an optical disk, etc. The resources stored thereon can include an operating system 321, a computer program 322, etc., and the storage method can be temporary storage or permanent storage.

[0106] The operating system 321 is used to manage and control the hardware devices and computer programs on the electronic device 300, and can be Windows Server, Netware, Unix, Linux, etc. In addition to the computer program 322 that can be used to complete the vertical surface measurement method of the dam gate slot based on the intelligent sensor performed by the electronic device 300 disclosed in any of the aforementioned embodiments, the computer program 322 can further include a computer program 322 that can be used to complete other specific tasks.

[0107] An embodiment of the present invention further provides a computer-readable storage medium for storing a computer program 322, wherein the computer program 322, when executed by the processor 310, implements a method for measuring a vertical surface of a dam gate slot based on an intelligent sensor as in any of the above embodiments.

[0108] For example, the computer readable storage medium can be a read-only memory (ROM), a random access memory (RAM), a compact disc (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, etc.

Claims

1. A method for measuring the vertical surface of a dam gate slot based on an intelligent sensor, characterized in that: The steps include: Collect the vertical surface image of the gate slot, vertical surface flow velocity data, vertical surface water level data, vertical surface height data and vertical surface sealing pressure data; Extracting pit data from the vertical surface image and evaluating the vertical surface flatness based on the pit data; Based on the vertical surface water level data, the influence of alternating dryness and wetness on the vertical surface is evaluated, and the vertical surface erosion degree is obtained in combination with the vertical surface flatness; The gate tightness is estimated based on the vertical surface erosion degree and vertical surface sealing pressure data, and a gate tightness warning is issued based on the gate tightness estimation results.

2. The method for measuring the vertical surface of a dam gate slot based on an intelligent sensor according to claim 1 is characterized in that: The method of evaluating the vertical surface flatness based on the pit data comprises: Obtaining a vertical plane image of the gate slot and extracting pit data in the vertical plane image, the pit data including the area, depth, number and position coordinates of the pits; The vertical surface flatness is calculated by the etch pit data. The vertical surface flatness calculation formula is: ; In the formula Indicates The location coordinates of the erosion pits, Indicates The adjacent erosion pit The location coordinates of the erosion pits, Indicates The first pit and the adjacent The Euclidean distance between pits, Indicates The Euclidean distance between a pit and its nearest neighbor, Indicates The area of ​​the pit, represents the vertical surface area, Indicates The depth of the pit, Indicates the thickness of the vertical surface of the door slot. represents the number of erosion pits, represents the first adjustment factor, Indicates the flatness of the vertical surface.

3. The method for measuring the vertical surface of a dam gate slot based on an intelligent sensor according to claim 1 is characterized in that: The assessment of the impact of alternating dryness and wetness on the vertical surface based on the vertical surface water level data includes: Obtain vertical surface water level data and vertical surface height data, the vertical surface water level data includes the vertical surface water level height and the corresponding acquisition time; The vertical surface dry-wet alternation cycle is identified through the vertical surface water level data. The vertical surface dry-wet alternation cycle includes a vertical surface water level rising stage and a vertical surface water level falling stage. The vertical surface dry-wet alternation impact index is calculated by the vertical surface dry-wet alternation cycle. The vertical surface dry-wet alternation impact index is used to quantify the impact of dry-wet alternation on vertical surface erosion. The vertical surface dry-wet alternation impact index calculation formula is: ; In the formula Indicates The height of the vertical surface water level rise during the dry-wet alternation cycle of the vertical surface, Indicates the maximum value of the vertical water level. Indicates The vertical surface water level rise time in the vertical surface dry-wet alternation cycle, It represents the mean time of vertical water level rise. Indicates The height of vertical surface water level drop during the dry-wet alternation cycle, Indicates The vertical surface water level drop time in the vertical surface dry-wet alternation cycle, It represents the mean time of vertical water level drop. Represents the number of dry-wet alternating cycles on the vertical surface, Represents the vertical surface wet-dry alternation impact index.

4. The method for measuring the vertical surface of a dam gate slot based on an intelligent sensor according to claim 1 is characterized in that: The obtaining of the vertical surface erosion degree comprises: Obtain vertical surface flatness and vertical surface dry-wet alternation impact index; The vertical surface corrosion index is calculated by the vertical surface flatness and the vertical surface dry-wet alternation influence index. The vertical surface corrosion index is used to quantify the degree of vertical surface corrosion. The vertical surface corrosion index calculation formula is: ； In the formula Indicates the flatness of the vertical surface. It represents the vertical surface wet-dry alternation impact index. represents the second adjustment factor, Indicates the vertical surface corrosion index.

5. The method for measuring the vertical surface of a dam gate slot based on an intelligent sensor according to claim 1 is characterized in that: The estimated gate tightness includes: Obtain vertical face sealing pressure data and vertical face erosion index; The gate tightness index is calculated by the vertical surface sealing pressure data and the vertical surface erosion index. The gate tightness index is used to quantify the gate tightness. The calculation formula of the gate tightness index is: ; In the formula Indicates The vertical surface sealing pressure data obtained by the pressure sensor, Indicates the standard sealing pressure data of the vertical surface. Indicates the number of pressure sensors, represents the vertical surface corrosion index, represents the vertical face seal pressure weight, represents the vertical surface erosion weight, Indicates the gate tightness index.

6. The method for measuring the vertical surface of a dam gate slot based on an intelligent sensor according to claim 1 is characterized in that: The gate tightness warning is performed according to the gate tightness estimation result, including: Get the gate tightness index. When the gate tightness index is less than the preset gate tightness threshold, a gate tightness warning is issued. When the gate tightness index is greater than or equal to the preset gate tightness threshold, no gate tightness warning is issued.

7. A dam gate slot vertical plane measurement system based on an intelligent sensor, applied to a dam gate slot vertical plane measurement method based on an intelligent sensor as claimed in any one of claims 1 to 6, characterized in that: The system comprises: A data acquisition module is used to collect the vertical surface image of the gate slot, the vertical surface flow velocity data, the vertical surface water level data, the vertical surface height data and the vertical surface sealing pressure data; A vertical surface flatness evaluation module is used to extract pit data in the vertical surface image and evaluate the vertical surface flatness based on the pit data; The vertical surface erosion degree assessment module is used to assess the influence of vertical surface dry-wet alternation based on the vertical surface water level data and obtain the vertical surface erosion degree in combination with the vertical surface flatness; The gate tightness warning module is used to estimate the gate tightness based on the vertical surface erosion degree and vertical surface sealing pressure data, and to issue a gate tightness warning based on the gate tightness prediction results.

8. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the vertical surface measurement method of the dam gate slot based on the intelligent sensor as described in any one of claims 1 to 6 by calling the computer program stored in the memory.

9. A computer-readable storage medium, characterized in that: Instructions are stored, and when the instructions are executed on a computer, the computer executes the method for measuring the vertical surface of a dam gate slot based on an intelligent sensor as described in any one of claims 1 to 6.

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