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

Abstract

The invention discloses a gate groove installation quality analysis system and method based on artificial intelligence, and belongs to the field of artificial intelligence. The gate groove installation effect is evaluated and analyzed based on image data and installation data after gate groove installation, hydrological risk evaluation is performed based on hydrological data of the corresponding position of a gate, and the hydrological risk of the gate groove is evaluated. Installation quality analysis is carried out based on a result of gate installation effect analysis and a hydrological risk assessment result, not only are installation damage and installation accuracy conditions of the gate groove considered in the process of gate groove installation quality assessment, but also the abnormal influence condition of the installation damage on gate installation is comprehensively considered, the accuracy of quality analysis is improved, and the accuracy of hydrological risk assessment is improved. In the process of analyzing the installation quality of the gate groove, the influence of hydrological data on the installation danger of the gate groove is fully considered, and the reliability and safety of installation matching analysis are improved.

Description

Technical Field

[0001] This application belongs to the field of artificial intelligence, specifically a gate slot installation quality analysis system and method based on artificial intelligence. Background Technique

[0002] The gate slot is a key structural component used for installing and fixing the gate in a water conservancy project. It is usually located in the reserved slot of the pier or the gate wall. Its main function is to support the gate, ensure that the gate can be opened and closed smoothly, and withstand water pressure and other external forces. The design and installation quality of the gate slot directly affect the operation 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, it is necessary to evaluate its installation quality; However, when the existing technology evaluates the quality of the gate slot, it usually only detects the gate slot through the installation accuracy and sealing condition of the gate slot. Since the gate slot directly affects the use of the gate, it is necessary to consider not only the installation damage and installation accuracy of the gate slot during detection, but also the abnormal influence of the installation damage on the gate installation. The existing technology does not consider this, and at the same time, it is unable to perform installation matching analysis on the influence of hydrological data on the installation risk of the gate slot, resulting in low reliability and safety of the installation matching analysis. Most of the existing technologies have the above problems; In order to improve the accuracy of abnormal warning for repair, this application designs a gate slot installation quality analysis system and method based on artificial intelligence. Summary of the Invention

[0003] To solve the deficiencies in the existing technology mentioned in the background technique, this application proposes to evaluate and analyze the installation effect of the gate slot based on the image data and installation data after the gate slot is installed, perform hydrological risk assessment based on the historical hydrological data at the corresponding position of the gate, and perform installation quality analysis based on the results of the gate installation effect analysis and the hydrological risk assessment results. During 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 influence of the installation damage on the gate installation is comprehensively considered. During the process of analyzing the installation quality of the gate slot, the influence of hydrological data on the installation risk of the gate slot is fully considered to solve the problems in the background technique.

[0004] To achieve the above object, this application provides the following technical solutions: In the first aspect, this application provides a gate slot installation quality analysis method based on artificial intelligence, which includes the following specific steps: Step 1, obtain the image data, installation data after the gate slot is installed, and the historical hydrological data at the corresponding position of the gate; Step 2, evaluate and analyze the installation effect of the gate slot based on the image data and installation data after the gate slot is installed; Step 3: Conduct a hydrological hazard assessment based on the historical hydrological data at the corresponding position of the gate; Step 4: Conduct an installation quality analysis based on the results of the gate installation effect analysis and the hydrological hazard assessment results; Step 5: Conduct an installation matching warning based on the installation quality analysis results obtained from the analysis.

[0005] Preferably, based on the above solution, the image data after the installation of the gate slot includes the damage image data of the gate slot after installation and the data of the corresponding installation situation at each position. Among them, the damage image data includes the defect and crack image data of the gate slot connection part during the installation process. The installation data includes the situation of the connection part between the gate slot and the gate during design. The hydrological data at the corresponding position of the gate includes the historical water level and flow data at the corresponding position, and the obtained data are respectively stored in the corresponding storage components.

[0006] Preferably, based on the above solution, the evaluation and analysis of the installation effect of the gate slot includes the following specific steps: Step 201: Obtain the data of the corresponding installation situation at each position after the installation of the gate slot, and evaluate the accuracy of the installation position based on the coincidence degree between each installation position after the installation of the gate slot and the set installation position. In this way, by evaluating the accuracy of the installation position, the installation quality is analyzed; Step 202: Conduct a gate slot damage assessment based on the defect and crack image data and aggregation situation of the gate slot connection part during the installation process. In this step, by analyzing the defect and crack image data and aggregation situation of the gate slot connection part, the damage situation of the gate slot installation during the installation process is accurately evaluated. Among them, the gate slot damage assessment includes the following specific steps: Step 2021: Obtain the defect and crack image data of the gate slot connection part, divide the number of installation defects of the gate slot connection part into several regions, each defect corresponds to a region, and analyze the severity of the defects in each region based on the defect and crack image data of the gate slot connection part; Step 2022: Conduct a gate slot damage assessment based on the severity and aggregation degree of the defects in each region; Step 203: Analyze the connection influence degree of the defects based on the severity of the defects in each region and the shortest distance from each region to the connection part with the gate. The connection influence degree reflects the influence degree of the defects on the reliability of the gate connection; Step 204: Obtain the accuracy of the installation position, the results of the gate slot damage assessment, and the connection influence degree of the defects, and perform weighted summation respectively to obtain the installation effect of the gate slot.

[0007] Preferably, based on the above solution, the hydrological hazard assessment includes the following specific steps: Step 301: Obtain historical water level and flow data at the corresponding location; Step 302: Conduct an installation hydrological hazard assessment based on the historical water level and flow data at the corresponding location in the historical period, and comprehensively evaluate the hydrological hazards in the gate installation area through the influence of the water level and flow at the corresponding location.

[0008] Preferably, based on the above solutions, the installation quality analysis based on the results of the gate installation effect analysis and the hydrological hazard assessment results includes the following specific contents: Step 401: Obtain the calculated gate slot installation effect and the calculated hydrological hazard, and analyze the installation quality through the gate slot installation effect and the calculated hydrological hazard. Among them, the installation quality is directly proportional to the gate slot installation effect and inversely proportional to the hydrological hazard. Among them, the installation quality calculation formula can be: the gate slot installation effect divided by the hydrological hazard; Step 402: Compare the obtained installation quality 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 not matched and reinstallation is required, and an installation mismatch warning instruction is issued to the staff.

[0009] In a second aspect, the present application provides a gate slot installation quality analysis system based on artificial intelligence, which is implemented based on the above-mentioned gate slot installation quality analysis method based on artificial intelligence, and specifically includes: A data acquisition module for acquiring image data, installation data after the gate slot is installed, and hydrological data at the corresponding position of the gate; An effect evaluation module for evaluating and analyzing the gate slot installation effect based on the image data and installation data after the gate slot is installed; A hydrological hazard assessment module for conducting a hydrological hazard assessment based on the hydrological data at the corresponding position of the gate; An installation quality assessment module for conducting an installation quality analysis based on the results of the gate installation effect analysis and the hydrological hazard assessment results; A matching warning module for giving an installation matching warning according to the obtained installation quality analysis result.

[0010] In a third aspect, the present application provides an electronic device, including: a processor and a memory, wherein a computer program that can be called by the processor is stored in the memory; 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.

[0011] Fourthly, the present application provides a computer-readable storage medium storing instructions which, when run on a computer, cause the computer to execute the method for analyzing the installation quality of a gate slot based on artificial intelligence as described above.

[0012] Meanwhile, compared with the prior art, the technical effects and advantages of the present application are as follows: The present application evaluates and analyzes the installation effect of the gate slot based on the image data and installation data after the installation of the gate slot, conducts a hydrological hazard assessment based on the hydrological data at the corresponding position of the gate, and conducts an installation quality analysis based on the results of the gate slot 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 influence of the installation damage on the gate installation is comprehensively considered, improving the accuracy of the quality analysis; at the same time, in the process of analyzing the installation quality of the gate slot, the influence of hydrological data on the installation hazard of the gate slot is fully considered, improving the reliability and safety of the installation matching analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 is a schematic diagram of the overall process of the method for analyzing the installation quality of a gate slot based on artificial intelligence according to the present application; Figure 2 is a schematic diagram of the specific process of step 2 of the method for analyzing the installation quality of a gate slot based on artificial intelligence according to the present application; Figure 3 is a schematic diagram of the module composition of the system for analyzing the installation quality of a gate slot based on artificial intelligence according to the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0014] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The description of at least one exemplary embodiment below is actually only illustrative and in no way limits the present application and its application or use.

[0015] In addition, the accompanying drawings are only schematic diagrams of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings represent the same or similar parts, and thus their repeated description will be omitted. Some of the block diagrams shown in the drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor methods and / or microcontroller methods.

[0016] Embodiment 1

[0017] To solve the technical problems raised in the background art, the present application provides a preferred embodiment: As Figure 1 - Figure 2 shown, an installation quality analysis method for a gate slot based on artificial intelligence includes the following specific steps: Step 1, obtain the image data, installation data after the installation of the gate slot, and historical hydrological data at the corresponding position of the gate; Step 2, evaluate and analyze the installation effect of the gate slot based on the image data and installation data after the installation of the gate slot; Step 3, conduct a hydrological hazard assessment based on the historical hydrological data at the corresponding position of the gate; Step 4, conduct an installation quality analysis based on the results of the gate installation effect analysis and the hydrological hazard assessment results; Step 5, conduct an installation matching warning according to the installation quality analysis results obtained from the analysis; In this embodiment, the image data after the installation of the gate slot includes the damage image data of the gate slot after installation and the data of the installation corresponding situation at each position. Among them, the damage image data includes the defect and crack image data at the connection part of the gate slot during the installation process. The installation data includes the situation of the connection part between the gate slot and the gate during the design. The hydrological data at the corresponding position of the gate includes the historical water level and flow data at the corresponding position. All kinds of data in this embodiment are obtained through corresponding types of sensors. For example, the image data is obtained through an image sensor, and the obtained data is stored in the corresponding storage components respectively; In this embodiment, the evaluation and analysis of the installation effect of the gate slot includes the following specific steps: Step 201, obtain the data of the installation corresponding situation at each position after the installation of the gate slot, and evaluate the accuracy of the installation position based on the coincidence degree between each installation position after the installation of the gate slot and the set installation position. In this way, by evaluating the accuracy of the installation position, the installation quality is analyzed. Here, it should be noted that the calculation formula for the coincidence degree between each installation position and the set installation position can be: , S() is the volume of the image in the parentheses, Vc is the three-dimensional image data after the installation of the gate slot, Vz is the three-dimensional image data of the simulated installation of the gate slot after installation under the same scale, is the intersection of the images, is the union of the images; Step 202, conduct a gate slot damage assessment based on the defect and crack image data and aggregation situation at the connection part of the gate slot during the installation process. In this step, by analyzing the defect and crack image data and aggregation situation at the connection part of the gate slot, the damage situation of the gate slot installation during the installation process is accurately evaluated. Among them, the gate slot damage assessment includes the following specific steps: Step 2021: Obtain the defect and crack image data of the gate slot connection part. Divide the number of installation defects in the gate slot connection part into several regions, with each defect corresponding to a region. Analyze the severity of the defects in each region based on the defect and crack image data of the gate slot connection part. The severity evaluation formula for the defect in the i-th region 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 safety volume of the defect; Step 2022: Evaluate the gate slot damage based on the severity and aggregation degree of the defects in each region. The gate slot damage evaluation formula is: , where m is the number of gate slot cracks, DS is the perimeter of the inner diameter surface of the gate slot, and Dz is the average distance of the defects; Step 203: Analyze the connection influence degree of the defects based on the severity of the defects in each region and the shortest distance from each region to the nearest part connected to the gate. The connection influence degree reflects the influence degree of the defects on the reliability of the gate connection. Among them, the calculation formula for the connection influence degree of the defects is: , where Di is the shortest distance from the i-th region to the nearest part connected to the gate; Step 204: Obtain the installation accuracy, the gate slot damage evaluation result, and the connection influence degree of the defects, and perform weighted summation respectively to obtain the installation effect of the gate slot. In this step, during 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 influence of the installation damage on the gate installation is comprehensively considered, improving the accuracy of quality analysis; In this embodiment, the hydrological hazard assessment includes the following specific steps: Step 301: Obtain the historical water level and flow data at the corresponding location; Step 302: Perform the installation hydrological hazard assessment based on the historical water level and flow data at the corresponding location in the historical period. Among them, the hydrological hazard assessment formula is: , where vt is the water level data at time t, vc is the safety water level data designed for the gate, Rt is the flow data at time t, Rc is the safety flow data designed for the gate, is the proportion coefficient of the water level, which is used to reflect the influence degree of the water level hazard on the gate, and T is the influence duration. In this way, the hydrological hazard of the gate installation area is comprehensively evaluated through the influence of the water level and flow at the corresponding location; In this embodiment, the installation quality analysis based on the results of the gate installation effect analysis and the hydrological hazard assessment results includes the following specific contents: Step 401: Obtain the calculated installation effect of the gate slot and the calculated hydrological hazard, and analyze the installation quality through the installation effect of the gate slot and the calculated hydrological hazard. Among them, the installation quality is directly proportional to the installation effect of the gate slot and inversely proportional to the hydrological hazard. The installation quality calculation formula can be: the installation effect of the gate slot divided by the hydrological hazard, that is, it reflects that the installation quality is directly proportional to the installation effect of the gate slot and inversely proportional to the hydrological hazard; Step 402: Compare the obtained installation quality 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 not matched and reinstallation is required. Send a warning instruction of installation mismatch to the staff. The instruction sending method in this embodiment is to send a warning instruction through wired or wireless means. After receiving the warning instruction of installation mismatch, the staff performs reinstallation or maintenance of the gate slot to make the installation quality greater than or equal to the pre-set installation quality threshold.

[0018] In this embodiment, it should be specifically noted that the acquisition method of relevant parameters (such as set parameters and set thresholds) in this embodiment is obtained by those skilled in the art through historical data experiments. The preferred acquisition method is: obtain the image data, installation data after the installation of the historical gate slot, and hydrological data at the corresponding position of the gate, obtain the judgment result of whether the gate slot meets the usage requirements during use, and substitute the image data, installation data after the installation of the gate slot, and hydrological data at the corresponding position of the gate into each step in this embodiment to finally obtain the installation quality. Substitute the judgment result of whether it meets the usage requirements and the installation quality into the fitting software to obtain the value of the relevant parameters in this embodiment that meets the maximum judgment accuracy rate.

[0019] Here, the advantages of this embodiment are described. This embodiment evaluates and analyzes the installation effect of the gate slot based on the image data and installation data after the installation of the gate slot, evaluates the hydrological hazard based on the hydrological data at the corresponding position of the gate, and analyzes the installation quality based on the results of the gate installation effect analysis and the hydrological hazard evaluation 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 influence of the installation damage on the gate installation is comprehensively considered, which improves the accuracy of quality analysis. At the same time, in the process of analyzing the installation quality of the gate slot, the influence of hydrological data on the installation hazard of the gate slot is fully considered, which improves the reliability and safety of the installation matching analysis.

[0020] Embodiment 2

[0021] Such as Figure 3As shown, based on the same inventive concept as in Embodiment 1, this embodiment provides an installation quality analysis system for the gate slot of a gate based on artificial intelligence, which is implemented based on the above-mentioned installation quality analysis method for the gate slot of a gate based on artificial intelligence. It specifically includes a data acquisition module for acquiring image data, installation data after the installation of the gate slot, and hydrological data at the corresponding position of the gate; an effect evaluation module for evaluating and analyzing the installation effect of the gate slot based on the image data and installation data after the installation of the gate slot; a hydrological hazard assessment module for performing hydrological hazard assessment based on the hydrological data at the corresponding position of the gate; an installation quality assessment module for performing installation quality analysis based on the results of the gate installation effect analysis and the hydrological hazard assessment results; a matching warning module for performing installation matching warning according to the obtained installation quality analysis results. In this embodiment, the specific steps of each module have been elaborated in detail in the method embodiment of Embodiment 1 above, and will not be repeated here. For the Figure 3 The arrow directions in the attached figure represent the data transmission directions.

[0022] Embodiment 3

[0023] Based on the same inventive concept as in Embodiment 1, this embodiment provides an electronic device, including: a processor and a memory, where a computer program that can be called by the processor is stored in the memory; The processor executes the above-mentioned installation quality analysis method for the gate slot of a gate based on artificial intelligence by calling the computer program stored in the memory.

[0024] This electronic device may have relatively large differences due to different configurations or performances, and can include one or more processors and one or more memories. Among them, at least one computer program is stored in the memory, and this computer program is loaded and executed by the processor to implement the installation quality analysis method for the gate slot of a gate based on artificial intelligence provided in the above method embodiment. This electronic device can also include other components for realizing the functions of the device. For example, this electronic device can also have components such as wired or wireless network interfaces and input / output interfaces for data input and output. This embodiment will not be elaborated here.

[0025] Embodiment 4

[0026] Based on the same inventive concept as in Embodiment 1, this embodiment proposes a computer-readable storage medium, on which a rewritable computer program is stored; When the computer program runs on a computer device, it enables the computer device to execute the above-mentioned installation quality analysis method for the gate slot of a gate based on artificial intelligence.

[0027] For example, the computer-readable storage medium can be a read-only memory, a random access memory, a read-only optical disc, a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0028] Those skilled in the art will understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) containing computer-usable program code.

[0029] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices produce means for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or the combination of blocks.

[0030] These computer program instructions can 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, such that the instructions stored in the computer-readable memory produce a manufactured article including instruction means that implement the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or the combination of blocks.

[0031] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or the combination of blocks.

[0032] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0033] The memory may include non-permanent memory in the form of computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. The memory is an example of computer-readable media.

[0034] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information by any method or technology. The 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 memory (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-transitory 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 media such as modulated data signals and carrier waves.

[0035] It should also be noted that the term "comprising", "including" or any other variation thereof is intended to cover non-exclusive inclusion, such that a process, method, article or apparatus comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or apparatus. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising the element.

[0036] The above are only embodiments of the present invention and are not used to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall 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, obtaining image data of the gate slot after installation, installation data and historical hydrological data of the corresponding position of the gate; Step 2: evaluating and analyzing the gate slot installation effect based on the image data and installation data after the gate slot is installed; Step 3: Conduct hydrological hazard assessment based on historical hydrological data at the corresponding location of the gate; Step 4: Perform installation quality analysis based on the results of gate installation effect analysis and hydrological hazard assessment results; Step 5: Provide an installation matching warning based on the installation quality analysis results.

2. The gate slot installation quality analysis method based on artificial intelligence as claimed in claim 1 is characterized in that: 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 overlap between each installation position after the gate slot is installed and the set installation position; Door slot damage assessment based on defect and crack image data and aggregation of door slot connection parts during installation; Analyze the connection influence of defects based on the severity of defects in each area and the closest distance from each area to the gate connection part; The accuracy of the installation position, the gate slot damage assessment results and the connection influence of the defects are obtained and weighted summed respectively to obtain the gate slot installation effect.

3. The gate slot installation quality analysis method based on artificial intelligence as claimed in claim 2 is characterized in that: The door slot damage assessment includes the following specific steps: Obtain the defect and crack image data of the door slot connection part, and analyze the severity of defects in each area based on the defect and crack image data of the door slot connection part. The severity evaluation formula of the defect in the i-th area 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 damage of the door slot is evaluated based on the severity and aggregation 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.

4. The gate slot installation quality analysis method based on artificial intelligence as claimed in claim 3 is characterized in that: The hydrological risk assessment includes the following specific steps: Get historical water level and flow data of corresponding locations; The installation hydrological hazard assessment is carried out based on the historical water level and flow data of the corresponding location in the historical period.

5. The gate slot installation quality analysis method based on artificial intelligence as claimed in claim 4 is characterized in that: The installation quality analysis based on the results of the gate installation effect analysis and the hydrological hazard assessment results includes the following specific contents: Obtain the calculated gate slot installation effect and the calculated hydrological hazard, and analyze the installation quality through the gate slot installation effect and the calculated hydrological hazard, wherein the installation quality is 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 matches and does not need to be reinstalled. If the installation quality is less than the pre-set installation quality threshold, it means that the installation does not match and needs to be reinstalled, and an installation mismatch warning instruction is issued to the staff.

6. The gate slot installation quality analysis method based on artificial intelligence as claimed in claim 5 is 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 of each position, wherein the damage image data includes image data of defects and cracks in the connection part of the gate slot during the installation process, the installation data includes the connection part between the gate slot and the gate during design, and the hydrological data of the corresponding position of the gate includes historical water level and flow data of the corresponding position.

7. A gate slot installation quality analysis system based on artificial intelligence, which is implemented based on the gate slot installation quality analysis method based on artificial intelligence as claimed in any one of claims 1 to 6, characterized in that: A data acquisition module, used to acquire 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; The hydrological hazard assessment module conducts 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 results; The matching warning module issues an installation matching warning based on the installation quality analysis 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; 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 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 run on a computer, the computer executes the gate slot installation quality analysis method based on artificial intelligence as described in any one of claims 1-6.

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