Gate slot installation quality analysis system and method based on artificial intelligence

Abstract

The present application discloses a gate slot installation quality analysis system and method based on artificial intelligence, which belongs to the field of artificial intelligence. The present application evaluates and analyzes the gate slot installation effect based on image data and installation data after the gate slot is installed, performs hydrological hazard assessment based on hydrological data of the corresponding position of the gate, and performs installation quality analysis based on the results of the gate installation effect analysis and the hydrological hazard assessment results. In the process of evaluating the gate slot installation quality, not only the installation damage and installation accuracy of the gate slot are considered, but also the abnormal impact of the installation damage on the gate installation is comprehensively considered, thereby improving the accuracy of the quality analysis. In the process of gate slot installation quality analysis, the impact of hydrological data on the gate slot installation risk is fully considered, thereby improving the reliability and safety of the installation matching analysis.

Description

Technical Field

[0001] The present application relates to the field of artificial intelligence, and more specifically to an artificial intelligence-based gate slot installation quality analysis system and method. Background Art

[0002] The gate slot is a key structural component used to install and fix the gate in water conservancy projects. It is usually located in the reserved slot of the gate pier or gate wall. Its main function is to support the gate, ensure that the gate can open and close smoothly, and withstand water pressure and other external forces. The design and installation quality of the gate slot directly affect the operating performance, sealing effect and service life of the gate. Since it directly affects the use of the gate, it is particularly important. After the gate slot is installed, its installation quality needs to be evaluated;

[0003] However, in the prior art, when evaluating the quality of gate slots, the slots are usually only inspected based on their installation accuracy and sealing conditions. Since the gate slots directly affect the use of the gate, it is necessary to consider not only the installation damage and installation accuracy of the slots, but also the abnormal impact of the installation damage on the gate installation. The prior art does not take this into consideration. In addition, it is unable to perform installation matching analysis on the impact of the slot installation risk based on hydrological data, resulting in low reliability and safety of the installation matching analysis. Most of the prior art suffer from the above problems.

[0004] In order to improve the accuracy of repair abnormality warning, this application designs an artificial intelligence-based gate slot installation quality analysis system and method. Summary of the Invention

[0005] In order to solve the deficiencies in the prior art mentioned in the background technology, the present application proposes to evaluate and analyze the gate slot installation effect based on the image data and installation data after the gate slot is installed, to perform a hydrological hazard assessment based on the hydrological data of the corresponding position of the gate, and to perform an installation quality analysis based on the results of the gate installation effect analysis and the hydrological hazard assessment results. In the process of evaluating the gate slot installation quality, not only the installation damage and installation accuracy of the gate slot are considered, but also the abnormal impact of the installation damage on the gate installation is comprehensively considered. In the process of gate slot installation quality analysis, the impact of hydrological data on the gate slot installation hazard is fully considered to solve the problems in the background technology.

[0006] To achieve the above objectives, the present application provides the following technical solutions: First, the present application provides an artificial intelligence-based gate slot installation quality analysis method, which includes the following specific steps:

[0007] Step 1: Obtain image data of the gate slot after installation, installation data, and historical hydrological data of the gate's corresponding position;

[0008] Step 2: Evaluate and analyze the gate slot installation effect based on the image data and installation data after the gate slot is installed;

[0009] Step 3: Conduct hydrological risk assessment based on historical hydrological data at the gate location.

[0010] Step 4: Perform installation quality analysis based on the results of the gate installation effect analysis and the hydrological hazard assessment results;

[0011] Step 5: Provide an installation matching warning based on the installation quality analysis results.

[0012] Preferably, based on the above scheme, the image data of the gate slot after installation includes damage image data of the gate slot after installation and corresponding installation situation data of each position, wherein the damage image data includes defect and crack image data of the gate slot connection part during installation, the installation data includes the connection part situation of the gate slot and the gate during design, and the hydrological data of the corresponding position of the gate includes the historical water level and flow data of the corresponding position, and the acquired data are stored in the corresponding storage components respectively.

[0013] Preferably, based on the above solution, the evaluation and analysis of the gate slot installation effect includes the following specific steps:

[0014] Step 201: Obtain the corresponding installation data of each position of the gate slot after installation, and evaluate the installation position accuracy based on the degree of overlap between each installation position after installation of the gate slot and the set installation position. In this way, the installation quality is analyzed by evaluating the installation position accuracy.

[0015] Step 202: Perform a door groove damage assessment based on the image data and aggregation of defects and cracks at the door groove connection during the installation process. In this step, the image data and aggregation of defects and cracks at the door groove connection are analyzed to accurately assess the door groove installation damage during the installation process. The door groove damage assessment includes the following specific steps:

[0016] Step 2021: Obtain image data of defects and cracks at the door groove connection portion, divide the number of installation defects at the door groove connection portion into several regions, with each defect corresponding to one region, and analyze the severity of the defects in each region based on the image data of defects and cracks at the door groove connection portion;

[0017] Step 2022: assessing the door slot damage based on the severity and concentration of defects in each area;

[0018] Step 203: Analyze the connection impact of the defect based on the severity of the defect in each area and the closest distance from each area to the gate connection. The connection impact reflects the impact of the defect on the reliability of the gate connection.

[0019] Step 204: Obtain the installation position accuracy, the gate slot damage assessment result, and the connection impact of the defect, perform weighted summation on each of them, and obtain the gate slot installation effect.

[0020] Preferably, based on the above scheme, the hydrological risk assessment includes the following specific steps:

[0021] Step 301: Obtain historical water level and flow data at the corresponding location;

[0022] Step 302: Perform installation hydrological hazard assessment based on historical water level and flow data of corresponding locations in historical periods, and conduct a comprehensive assessment of the hydrological hazard of the gate installation area through the influence of water level and flow at corresponding locations.

[0023] Preferably, based on the above solution, the installation quality analysis based on the results of the gate installation effect analysis and the hydrological risk assessment results includes the following specific contents:

[0024] Step 401: Obtain the calculated gate slot installation effect and the calculated hydrological hazard, and analyze the installation quality based on the gate slot installation effect and the calculated hydrological hazard. The installation quality is directly proportional to the gate slot installation effect and inversely proportional to the hydrological hazard. The installation quality calculation formula can be: gate slot installation effect divided by hydrological hazard.

[0025] Step 402: Compare the obtained installation quality with a pre-set installation quality threshold. If the installation quality is greater than or equal to the pre-set installation quality threshold, it indicates that the installation matches and no reinstallation is required. If the installation quality is less than the pre-set installation quality threshold, it indicates that the installation does not match and reinstallation is required. An installation mismatch warning instruction is issued to the staff.

[0026] In a second aspect, the present application provides an artificial intelligence-based gate slot installation quality analysis system, which is implemented based on the above-mentioned artificial intelligence-based gate slot installation quality analysis method, and specifically includes:

[0027] A data acquisition module is used to obtain image data of the gate slot after installation, installation data, and hydrological data of the corresponding position of the gate;

[0028] Effect evaluation module, which evaluates and analyzes the gate slot installation effect based on the image data and installation data after the gate slot is installed;

[0029] Hydrological hazard assessment module, which performs hydrological hazard assessment based on the hydrological data at the corresponding location of the gate;

[0030] Installation quality assessment module, which performs installation quality analysis based on the results of gate installation effect analysis and hydrological hazard assessment;

[0031] The matching warning module issues an installation matching warning based on the installation quality analysis results.

[0032] 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;

[0033] The processor executes the above-mentioned gate slot installation quality analysis method based on artificial intelligence by calling the computer program stored in the memory.

[0034] In a fourth aspect, the present application provides a computer-readable storage medium storing instructions, which, when executed on a computer, enables the computer to execute the above-mentioned artificial intelligence-based gate slot installation quality analysis method.

[0035] At the same time, compared with the existing technology, the technical effects and advantages of the present application are: the present application evaluates and analyzes the installation effect of the gate slot based on the image data and installation data after the gate slot is installed, performs hydrological hazard assessment based on the hydrological data of the corresponding position of the gate, and performs installation quality analysis based on the results of the gate installation effect analysis and the hydrological hazard assessment results. In the process of evaluating the installation quality of the gate slot, not only the installation damage and installation accuracy of the gate slot are considered, but also the abnormal impact of the installation damage on the gate installation is comprehensively considered, thereby improving the accuracy of the quality analysis; at the same time, in the process of conducting the gate slot installation quality analysis, the impact of hydrological data on the gate slot installation hazard is fully considered, thereby improving the reliability and safety of the installation matching analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is a schematic diagram of the overall process of the gate slot installation quality analysis method based on artificial intelligence in this application;

[0037] Figure 2 This is a schematic diagram of the specific process of step 2 of the gate slot installation quality analysis method based on artificial intelligence in this application;

[0038] Figure 3 This is a schematic diagram of the module composition of the gate slot installation quality analysis system based on artificial intelligence in this application. DETAILED DESCRIPTION

[0039] The following will be combined with the accompanying drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the embodiments described are only some embodiments of the present application, rather than all embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is in no way intended to limit the present application, its application, or use.

[0040] In addition, the accompanying drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. Identical reference numerals in the figures denote identical or similar parts, and thus repetitive descriptions thereof will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities that do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor and / or microcontroller approaches.

[0041] Example 1

[0042] In order to solve the technical problems raised in the background technology, this application provides a preferred embodiment: Figure 1-Figure 2 As shown in FIG, the gate slot installation quality analysis method based on artificial intelligence includes the following specific steps:

[0043] Step 1: Obtain image data of the gate slot after installation, installation data, and historical hydrological data of the gate's corresponding position;

[0044] Step 2: Evaluate and analyze the gate slot installation effect based on the image data and installation data after the gate slot is installed;

[0045] Step 3: Conduct hydrological risk assessment based on historical hydrological data at the gate location.

[0046] Step 4: Perform installation quality analysis based on the results of the gate installation effect analysis and the hydrological hazard assessment results;

[0047] Step 5: Provide an installation matching warning based on the installation quality analysis results obtained;

[0048] In this embodiment, the image data of the gate slot after installation includes image data of damage to the gate slot after installation and data on corresponding installation conditions at various locations, wherein the damage image data includes image data of defects and cracks at the connection portion of the gate slot during installation, the installation data includes the connection portion between the gate slot and the gate during design, and the hydrological data at the corresponding position of the gate includes historical water level and flow data at the corresponding position. Various data in this embodiment are acquired through corresponding types of sensors, for example, image data is acquired through image sensors, and the acquired data are respectively stored in corresponding storage components;

[0049] In this embodiment, the evaluation and analysis of the gate slot installation effect includes the following specific steps:

[0050] Step 201: Obtain the corresponding installation data of each position after the gate slot is installed, and evaluate the installation position accuracy based on the overlap between each installation position after the gate slot is installed and the set installation position. In this way, the installation quality is analyzed by evaluating the installation position accuracy. It should be noted that the calculation formula for the overlap between each installation position and the set installation position can be: , S() is the volume of the image in the brackets, Vc is the three-dimensional image data of the gate slot after installation, and Vz is the three-dimensional image data of the gate slot after installation simulated in advance at the same scale. is the intersection of the images, is the union of images;

[0051] Step 202: Perform a door groove damage assessment based on the image data and aggregation of defects and cracks at the door groove connection during the installation process. In this step, the image data and aggregation of defects and cracks at the door groove connection are analyzed to accurately assess the door groove installation damage during the installation process. The door groove damage assessment includes the following specific steps:

[0052] Step 2021: Obtain image data of defects and cracks at the door groove connection. Divide the number of installation defects at the door groove connection into several regions, with each defect corresponding to one region. Analyze the severity of the defects in each region based on the image data of defects and cracks at the door groove connection. The severity evaluation formula for the i-th region defect is: , where di is the length of the regional defect, ci is the average width of the regional defect, pi is the average depth of the regional defect, and Vf is the safe volume of the defect;

[0053] Step 2022: Evaluate the door slot damage based on the severity and concentration of defects in each area. The door slot damage evaluation formula is: , where m is the number of cracks in the gate slot, DS is the circumference of the inner diameter surface of the gate slot, and Dz is the average distance of the defect;

[0054] Step 203: Analyze the connection impact of the defect based on the severity of the defect in each area and the closest distance from each area to the gate connection. The connection impact reflects the impact of the defect on the reliability of the gate connection. The calculation formula for the connection impact of the defect is: , where Di is the shortest distance from the ith area to the connection point with the gate;

[0055] Step 204: Obtain the installation position accuracy, the door slot damage assessment result, and the connection impact of the defect, and perform weighted summation to obtain the gate slot installation effect. In this step, in the process of door slot installation quality assessment, not only the door slot installation damage and installation accuracy are considered, but also the abnormal impact of the installation damage on the gate installation is comprehensively considered, thereby improving the accuracy of quality analysis;

[0056] In this embodiment, the hydrological risk assessment includes the following specific steps:

[0057] Step 301: Obtain historical water level and flow data at the corresponding location;

[0058] Step 302: Perform installation hydrological risk assessment based on historical water level and flow data of corresponding locations in historical periods. The hydrological risk assessment formula is: , where vt is the water level data at time t, vc is the safe water level data designed for the gate, Rt is the flow data at time t, and Rc is the safe flow data designed for the gate. is the water level coefficient, which is used to reflect the impact of water level danger on the gate, and T is the impact duration. In this way, the hydrological danger of the gate installation area can be comprehensively evaluated by the water level and flow at the corresponding location;

[0059] In this embodiment, the installation quality analysis based on the results of the gate installation effect analysis and the hydrological risk assessment results includes the following specific contents:

[0060] Step 401: Obtain the calculated gate slot installation effect and the calculated hydrological hazard, and analyze the installation quality based on the gate slot installation effect and the calculated hydrological hazard. The installation quality is directly proportional to the gate slot installation effect and inversely proportional to the hydrological hazard. The installation quality calculation formula can be: the gate slot installation effect divided by the hydrological hazard, which indicates that the installation quality is directly proportional to the gate slot installation effect and inversely proportional to the hydrological hazard.

[0061] Step 402: Compare the obtained installation quality with a preset installation quality threshold. If the installation quality is greater than or equal to the preset installation quality threshold, it indicates that the installation matches and does not need to be reinstalled. If the installation quality is less than the preset installation quality threshold, it indicates that the installation does not match and needs to be reinstalled. An installation mismatch warning instruction is issued to the staff. The instruction issuance method in this embodiment is to issue the warning instruction via wired or wireless means. After receiving the installation mismatch warning instruction, the staff reinstalls the door slot or performs maintenance to make the installation quality greater than or equal to the preset installation quality threshold.

[0062] What needs to be specifically explained in this embodiment is that the method of obtaining the relevant parameters (such as setting parameters and setting thresholds) in this embodiment is to obtain them through historical data experiments according to those skilled in the art. The preferred method of obtaining them is: obtaining the image data, installation data and hydrological data of the corresponding position of the gate after historical gate slot installation, obtaining the judgment result of whether the gate slot meets the use requirements during use, and substituting the image data, installation data and hydrological data of the corresponding position of the gate after installation of the gate slot into each step in this embodiment to finally obtain the installation quality, and substituting the judgment result of whether the use requirements are met and the installation quality into the fitting software to obtain the values ​​of the relevant parameters in this embodiment that meet the maximum judgment accuracy.

[0063] The benefits of this embodiment are described here. This embodiment evaluates and analyzes the installation effect of the gate slot based on the image data and installation data of the gate slot after installation, performs hydrological hazard assessment based on the hydrological data of the corresponding position of the gate, and performs installation quality analysis based on the results of the gate installation effect analysis and the hydrological hazard assessment results. In the process of evaluating the gate slot installation quality, not only the installation damage and installation accuracy of the gate slot are considered, but also the abnormal impact of the installation damage on the gate installation is comprehensively considered, thereby improving the accuracy of the quality analysis. At the same time, in the process of gate slot installation quality analysis, the impact of hydrological data on the gate slot installation risk is fully considered, thereby improving the reliability and safety of the installation matching analysis.

[0064] Example 2

[0065] like Figure 3 As shown, based on the same inventive concept as Example 1, this embodiment provides an artificial intelligence-based gate slot installation quality analysis system, which is implemented based on the above-mentioned artificial intelligence-based gate slot installation quality analysis method, and specifically includes a data acquisition module for acquiring image data, installation data and hydrological data of the gate corresponding position after installation of the gate slot; an effect evaluation module for evaluating and analyzing the gate slot installation effect based on the image data and installation data of the gate slot after installation; a hydrological hazard evaluation module for performing hydrological hazard evaluation based on the hydrological data of the gate corresponding position; an installation quality evaluation module for performing installation quality analysis based on the results of the gate installation effect analysis and the results of the hydrological hazard evaluation; a matching warning module for performing installation matching warning according to the installation quality analysis results obtained by analysis. In this embodiment, the specific steps of each module have been elaborated in detail in the method embodiment in the above-mentioned Example 1, and will not be repeated here. Figure 3 The arrows in the figure represent the direction of data transmission.

[0066] Example 3

[0067] Based on the same inventive concept as that of embodiment 1, this embodiment provides an electronic device, comprising: a processor and a memory, wherein the memory stores a computer program that can be called by the processor;

[0068] The processor executes the above-mentioned gate slot installation quality analysis method based on artificial intelligence by calling the computer program stored in the memory.

[0069] The electronic device may vary significantly depending on its configuration or performance, and may include one or more processors and one or more memories, wherein the memories store at least one computer program, which is loaded and executed by the processor to implement the artificial intelligence-based gate slot installation quality analysis method provided in the above-mentioned method embodiment. The electronic device may also include other components for implementing the device's functions. For example, the electronic device may also include components such as a wired or wireless network interface and input / output interfaces for data input and output. This embodiment will not be described in detail here.

[0070] Example 4

[0071] Based on the same inventive concept as that of Example 1, this embodiment provides a computer-readable storage medium having a rewritable computer program stored thereon;

[0072] When the computer program runs on a computer device, the computer device is caused to execute the above-mentioned gate slot installation quality analysis method based on artificial intelligence.

[0073] For example, the computer readable storage medium can be a read-only memory, a random access memory, a read-only CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

[0074] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0075] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0076] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0077] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0078] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0079] Memory may include non-permanent storage in a computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0080] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can be implemented using any method or technology to store information. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change RAM (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media such as modulated data signals and carrier waves.

[0081] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0082] The above are merely embodiments of the present invention and are not intended to limit the present invention. It will be apparent to those skilled in the art that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are intended to be included within the scope of the claims of the present invention.

Claims

1. The gate slot installation quality analysis method based on artificial intelligence is characterized by: It includes the following specific steps: Step 1: Obtain image data of the gate slot after installation, installation data, and historical hydrological data of the gate's corresponding position; Step 2: Evaluate and analyze the gate slot installation effect based on the image data and installation data after the gate slot is installed; Step 3: Conduct hydrological risk assessment based on historical hydrological data at the gate location. Step 4: Perform installation quality analysis based on the results of the gate installation effect analysis and the hydrological hazard assessment results; Step 5: Perform an installation matching warning based on the installation quality analysis results obtained by analysis; the evaluation and analysis of the gate slot installation effect includes the following specific steps: Obtain the corresponding installation data of each position after the gate slot is installed, and evaluate the accuracy of the installation position based on the degree of overlap between each installation position after the gate slot is installed and the set installation position; Door groove damage assessment based on image data and aggregation of defects and cracks at door groove connections during installation; The connection impact of the defects is analyzed based on the severity of the defects in each area and the closest distance from each area to the gate connection. The connection impact of the defects is calculated as follows: , where Di is the shortest distance from the ith region to the connection with the gate, DS is the circumference of the inner diameter surface of the gate slot, and Yzi is the severity of the defect in the ith region; The gate slot installation effect is obtained by obtaining the installation position accuracy, gate slot damage assessment results and connection impact of defects and performing weighted summation respectively.

2. The gate slot installation quality analysis method based on artificial intelligence according to claim 1, characterized in that: The door slot damage assessment includes the following specific steps: Obtain image data of defects and cracks at the door slot connection. Analyze the severity of defects in each area based on the image data. The severity evaluation formula for the i-th area defect is: , where di is the length of the regional defect, ci is the average width of the regional defect, pi is the average depth of the regional defect, and Vf is the safe volume of the defect; The door slot damage is assessed based on the severity and concentration of defects in each area. The door slot damage assessment formula is: , where m is the number of cracks in the gate slot, DS is the circumference of the inner diameter surface of the gate slot, and Dz is the average distance of the defect.

3. The gate slot installation quality analysis method based on artificial intelligence according to claim 2, characterized in that: The hydrological risk assessment includes the following specific steps: Get historical water level and flow data for the corresponding location; The installation hydrological hazard assessment is conducted based on the historical water level and flow data of the corresponding location in the historical period.

4. The gate slot installation quality analysis method based on artificial intelligence according to claim 3 is characterized in that: The installation quality analysis based on the results of the gate installation effect analysis and the hydrological risk assessment results includes the following specific contents: Obtain the calculated gate slot installation effect and the calculated hydrological hazard, and analyze the installation quality based on the gate slot installation effect and the calculated hydrological hazard. The installation quality is directly proportional to the gate slot installation effect and inversely proportional to the hydrological hazard. The obtained installation quality is compared with the pre-set installation quality threshold. If the installation quality is greater than or equal to the pre-set installation quality threshold, it means that the installation is matched and no reinstallation is required. If the installation quality is less than the pre-set installation quality threshold, it means that the installation is mismatched and reinstallation is required, and an installation mismatch warning instruction is issued to the staff.

5. The gate slot installation quality analysis method based on artificial intelligence according to claim 4, characterized in that: The image data of the gate slot after installation includes damage image data of the gate slot after installation and corresponding installation situation data at each position, wherein the damage image data includes image data of defects and cracks at the gate slot connection part during the installation process, the installation data includes the connection part between the gate slot and the gate during design, and the hydrological data at the corresponding position of the gate includes historical water level and flow data at the corresponding position.

6. An artificial intelligence-based gate slot installation quality analysis system, which is implemented based on the artificial intelligence-based gate slot installation quality analysis method according to any one of claims 1 to 5, and is characterized in that: A data acquisition module is used to obtain image data of the gate slot after installation, installation data, and hydrological data of the corresponding position of the gate; Effect evaluation module, which evaluates and analyzes the gate slot installation effect based on the image data and installation data after the gate slot is installed; Hydrological hazard assessment module, which performs hydrological hazard assessment based on the hydrological data at the corresponding location of the gate; Installation quality assessment module, which performs installation quality analysis based on the results of gate installation effect analysis and hydrological hazard assessment; The matching warning module issues an installation matching warning based on the installation quality analysis results.

7. An electronic device comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; It is characterized in that the processor executes the gate slot installation quality analysis method based on artificial intelligence as described in any one of claims 1 to 5 by calling the computer program stored in the memory.

8. A computer-readable storage medium, characterized in that Instructions are stored, and when the instructions are run on a computer, the computer is caused to execute the gate slot installation quality analysis method based on artificial intelligence as described in any one of claims 1 to 5.

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