Hydroelectric generator set axis processing method and apparatus based on digitalization and intelligence
By obtaining the swing data of the turbine generator set collected by the micrometer, generating the net swing curve and axis data diagram, and using a computer to perform axis processing prediction, the problem of low efficiency of traditional manual measurement is solved, the digitalization and intelligence of the axis processing of the turbine generator set is realized, and the efficiency and accuracy of the processing plan are improved.
Patent Information
- Application Number
- PCT/CN2024/134918
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-03-25
- Filing Date
- 2024-11-27
- Publication Date
- 2025-10-02
AI Technical Summary
The traditional manual measurement and adjustment method to determine the axis treatment solution of the hydro-generator set is inefficient and consumes a lot of manual processing time.
By acquiring the swing data of the preset position of the hydro-generator set collected by the micrometer, a net swing curve and an axis data diagram are generated, and the axis processing prediction is performed by computer to generate an axis processing plan.
It realizes the digitalization and intelligence of the axis processing of the hydro-generator set, improves the efficiency and accuracy of the processing plan, and reduces labor costs and time consumption.
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Figure CN2024134918_02102025_PF_FP_ABST
Abstract
Description
Digital and intelligent hydro-generator axis processing method and device
[0001] Related applications
[0002] This application claims priority to Chinese patent application No. 2024103392709, filed on March 25, 2024, entitled “Method and device for processing the axis of a hydro-generator set based on digital intelligence,” the entire text of which is incorporated herein by reference. Technical Field
[0003] The present application relates to a method, device, computer equipment, storage medium and computer program product for processing the axis of a hydro-generator set based on digitalization and intelligence. Background Art
[0004] With the development of power engineering, hydroelectric generators have found important applications in numerous fields. Maintaining the axis of a hydroelectric generator can provide insights into its operating efficiency and stability, which is crucial for ensuring reliable power supply and improving power generation efficiency. Therefore, determining efficient solutions for axis maintenance has become a key research topic.
[0005] Traditional technology usually determines the axis processing solution of the hydro-turbine generator set through manual measurement and adjustment; however, the inventors realized that determining the axis processing solution of the hydro-turbine generator set by this method requires a lot of manual processing time, resulting in low efficiency in determining the axis processing solution of the hydro-turbine generator set. Summary of the Invention
[0006] According to various embodiments of the present application, a method, apparatus, computer equipment, storage medium and computer program product for processing the axis of a hydro-generator set based on digitalization and intelligence are provided.
[0007] A method for processing the axis of a hydro-generator set based on digitalization and intelligence, comprising:
[0008] Obtaining swing data of a preset position in a hydro-generator set collected by a micrometer;
[0009] generating a net swing curve of the preset position according to the swing data;
[0010] Calculating the net full swing data of the preset position according to the net swing curve, and generating an axis data diagram of the hydro-generator set; and
[0011] According to the net full swing data and the axis data diagram, an axis processing prediction is performed on the hydro-generator set to obtain an axis processing solution for the hydro-generator set.
[0012] In one embodiment, the micrometer is installed at both the first preset direction of the preset position and the second preset direction of the preset position;
[0013] The step of obtaining the swing data of a preset position in the hydro-generator set collected by the micrometer comprises:
[0014] receiving first swing data in the first preset direction and second swing data in the second preset direction sent by the micrometer; the first swing data and the second swing data are both collected by the micrometer when the hydro-generator set is in a cranking state; and
[0015] The first swing data and the second swing data are both used as the swing data.
[0016] In one embodiment, generating the net swing curve of the preset position according to the swing data includes:
[0017] generating a first net swing curve in the first preset direction according to the first swing data;
[0018] generating a second net swing curve in the second preset direction according to the second swing data;
[0019] Performing a matching test on the first net swing curve and the second net swing curve to obtain a net swing curve test result of the preset position; and
[0020] When the net swing curve detection result indicates passing, both the first net swing curve and the second net swing curve are used as the net swing curves of the preset part.
[0021] In one embodiment, performing axis processing prediction on the hydro-generator set based on the net full swing data and the axis data graph to obtain an axis processing solution for the hydro-generator set includes:
[0022] Obtaining the diameter of the thrust head retaining ring of the hydro-generator set and the distance between each of the preset positions and the constraint guide bearing of the hydro-generator set as equipment parameters of the hydro-generator set; and
[0023] According to the equipment parameters, the net full swing data and the axis data diagram, an axis processing prediction is performed on the hydro-generator set to obtain an axis processing solution for the hydro-generator set.
[0024] In one embodiment, performing axis processing prediction on the hydro-generator set based on the equipment parameters, the net full swing data, and the axis data graph to obtain an axis processing solution for the hydro-generator set includes:
[0025] Performing axis processing prediction on the hydro-generator set according to the equipment parameters, the net full swing data, and the axis data diagram to obtain an axis processing solution for the preset location and a comprehensive axis processing solution for the hydro-generator set;
[0026] Generate a thrust head retaining ring scraping scheme and a schematic diagram of the thrust head retaining ring scraping amount of the hydraulic generator set based on the axis processing scheme of the preset position and the comprehensive axis processing scheme of the hydraulic generator set; and
[0027] The thrust head retaining ring scraping scheme and the thrust head retaining ring partition scraping amount schematic diagram are both used as the axis processing scheme.
[0028] In one embodiment, after the thrust head retaining ring scraping scheme and the thrust head retaining ring partition scraping amount diagram are both used as the axis processing scheme, the method further includes:
[0029] According to the thrust head retaining ring scraping scheme and the thrust head retaining ring partition scraping amount diagram, a schematic diagram for comparing the axis states of the hydro-generator set after the thrust head retaining ring is scraped is generated; and
[0030] The axis processing scheme and the axis status comparison diagram are used as auxiliary information for performing thrust head retaining ring scraping processing on the hydro-generator set.
[0031] In one embodiment, generating the axis data diagram of the hydro-generator set includes:
[0032] generating an axis state diagram and an axis swing orientation diagram of the hydro-generator set before axis processing according to the net swing curve; and
[0033] The axis state diagram and the axis swing orientation diagram are both used as the axis data diagram.
[0034] A digital and intelligent hydro-generator axis processing device comprising:
[0035] A data acquisition module, used to acquire the swing data of a preset position in the hydro-generator set collected by a micrometer;
[0036] A curve generating module, configured to generate a net swing curve of the preset part according to the swing data;
[0037] a data calculation module, configured to calculate the net full swing data of the preset position according to the net swing curve, and generate an axis data diagram of the hydro-generator set; and
[0038] The unit prediction module is used to perform axis processing prediction on the hydro-generator set according to the net full swing data and the axis data diagram, and obtain the axis processing solution of the hydro-generator set.
[0039] A computer device includes a memory and one or more processors, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps of the digital and intelligent hydro-generator axis processing method provided in any embodiment of the present application are implemented.
[0040] One or more non-volatile computer-readable storage media storing computer-readable instructions, which, when executed by one or more processors, enable the one or more processors to implement the steps of the digital and intelligent hydro-generator axis processing method provided in any embodiment of the present application.
[0041] A computer program product includes computer-readable instructions, which, when executed by a processor, implement the steps of the digital and intelligent hydro-generator axis processing method provided in any embodiment of the present application.
[0042] The details of one or more embodiments of the present application are set forth in the following drawings and description. Other features, objects, and advantages of the present application will become apparent from the description, drawings, and claims. BRIEF DESCRIPTION OF THE DRAWINGS
[0043] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the conventional technology, the following briefly introduces the drawings required for use in the embodiments or the conventional technology descriptions. Obviously, the drawings described below are merely embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on the disclosed drawings without any creative work.
[0044] FIG1 is a flow chart of a method for processing the axis of a hydro-generator set based on digitalization and intelligence according to one or more embodiments.
[0045] FIG2 is a schematic diagram of a first net swing curve according to one or more embodiments.
[0046] FIG3 is a schematic diagram of a second net swing curve according to one or more embodiments.
[0047] FIG. 4 is a schematic diagram of an axis state before shaving according to one or more embodiments.
[0048] FIG. 5 is a diagram illustrating the axis swing orientation before shaving according to one or more embodiments.
[0049] FIG6 is a schematic diagram of the scraping amount of the thrust head retaining ring according to one or more embodiments.
[0050] FIG7 is a schematic diagram showing a comparison of the state of the axis of the unit after scraping the thrust head retaining ring according to one or more embodiments.
[0051] FIG8 is a block diagram of a digital and intelligent hydro-generator axis processing device according to one or more embodiments.
[0052] FIG9 is a block diagram of a computer device according to one or more embodiments. DETAILED DESCRIPTION
[0053] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.
[0054] In one embodiment, as shown in FIG1 , a method for processing the axis of a hydro-turbine generator set based on digital intelligence is provided. This embodiment uses the method applied to a terminal as an example for illustration; it is understandable that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. The terminal can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, etc.; the server can be implemented as an independent server or a server cluster consisting of multiple servers. In this embodiment, the method includes the following steps:
[0055] Step S101, obtaining the swing data of a preset position in the hydro-generator set collected by a micrometer.
[0056] The hydro-generator set may be a whole hydro-electric generator set, which may include a turbine and a generator.
[0057] A micrometer can be a precision measuring instrument used to collect data remotely, such as a percentage micrometer.
[0058] The swing data may be original reading data collected by a micrometer at different locations and shaft positions of the hydro-generator set. The shaft number may be the number of each measuring point at a preset location, such as shaft No. 1, shaft No. 3, etc.
[0059] The preset parts can be the main parts that need to be diagnosed in the hydro-generator set, such as the upper guide shaft neck, the lower guide shaft neck, etc., or the upper guide, the lower guide, the intermediate shaft upper flange, the intermediate shaft lower flange and the water guide, etc.
[0060] Optionally, a micrometer is pre-installed at a preset position of the hydro-turbine generator set for data collection; the hydro-turbine generator set is rotated by turning the gear or other means, and the micrometer starts to collect original swing data of different positions and shaft positions; the micrometer transmits the collected original swing data to the terminal; the terminal obtains the swing data of the preset position in the hydro-turbine generator set collected by the micrometer.
[0061] Step S102: generating a net swing curve of a preset position according to the swing data.
[0062] The net swing curve may be a curve drawn according to the swing degree between two adjacent axis numbers in the X and Y directions at different preset positions, where X may represent the horizontal axis and Y may represent the vertical axis.
[0063] Optionally, the terminal generates a net swing curve of each preset position between different shaft numbers of the hydro-generator set based on the swing data of the preset positions in the hydro-generator set collected by the micrometer.
[0064] Step S103, calculating the net full swing data of the preset position according to the net swing curve, and generating an axis data diagram of the hydro-generator set.
[0065] The net full swing data may be the total swing degree between all axis numbers in the X and Y directions at different preset positions.
[0066] The axis data diagram may be a schematic diagram of the status of the axis of the hydro-generator set.
[0067] Optionally, the terminal calculates the net full swing data of each preset position between all axis numbers based on the net swing curve, and draws an axis data diagram of the hydro-generator set.
[0068] Step S104 , performing axis processing prediction on the hydro-generator set based on the net full swing data and the axis data diagram, and obtaining an axis processing solution for the hydro-generator set.
[0069] The axis processing prediction can be a predicted axis processing solution that meets the swing requirements of each preset position.
[0070] The axis treatment plan can be aimed at the axis problem of the hydro-generator set, and specific treatment measures such as thrust head retaining ring scraping amount and zoning are given to achieve the purpose of adjusting the axis of the hydro-generator set to meet the requirements.
[0071] Optionally, the terminal performs axis processing prediction analysis on the hydro-turbine generator set based on the net full swing data and the axis data diagram, and obtains an axis processing plan for the hydro-turbine generator set that meets the requirements; according to the axis processing plan, corresponding axis adjustment processing is performed on site, such as scraping the thrust head retaining ring, etc., to complete the axis diagnosis process; after the processing is completed, the above process can be repeated for testing until the axis meets the preset qualification standard.
[0072] In the above-mentioned digital and intelligent method for processing the axis of a hydro-generator set, swing data of a preset location in the hydro-generator set is acquired using a micrometer; a net swing curve for the preset location is generated based on the swing data; net full swing data for the preset location is calculated based on the net swing curve, and an axis data map for the hydro-generator set is generated; and axis processing prediction is performed for the hydro-generator set based on the net full swing data and the axis data map, thereby obtaining an axis processing solution for the hydro-generator set. This solution generates a net swing curve for the preset location based on the swing data of the preset location in the hydro-generator set acquired using a micrometer; calculates net full swing data for the preset location based on the net swing curve, and generates an axis data map for the hydro-generator set; and performs axis processing prediction based on the net full swing data and the axis data map, thereby obtaining an axis processing solution for the hydro-generator set. Thus, when performing digital and intelligent processing of the axis of a hydro-generator set, the entire process of axis diagnosis and processing is digitized and intelligentized through data acquisition by a micrometer and processing and analysis by a computer algorithm, thereby improving the efficiency and accuracy of determining an axis processing solution for the hydro-generator set.
[0073] In one of the embodiments, in step S101, the swing data of a preset position in the hydro-turbine generator set collected by the micrometer is obtained, specifically including the following contents: receiving first swing data of a first preset direction and second swing data of a second preset direction sent by the micrometer; the first swing data and the second swing data are both collected by the micrometer when the hydro-turbine generator set is in a cranking state; and the first swing data and the second swing data are both used as swing data.
[0074] A micrometer is installed on both the first preset direction of the preset position and the second preset direction of the preset position.
[0075] The first preset direction may be a direction in which a first micrometer provided at a preset position collects data, such as a +X direction (positive direction of the horizontal axis).
[0076] The second preset direction may be a direction in which a second micrometer provided at a preset position collects data, such as a +Y direction (positive direction of the longitudinal axis).
[0077] The first swing data may be original swing data collected by the first micrometer in the first preset direction.
[0078] The second swing data may be original swing data collected by the second micrometer in the second preset direction.
[0079] The cranking state may be a state in which the turbine generator set is rotated manually or mechanically for axis diagnosis.
[0080] The swing data may be first swing data and second swing data collected simultaneously in different directions by two micrometers, serving as overall input data for subsequent calculation and processing.
[0081] Optionally, two micrometers are installed at each preset location (e.g., a characteristic location) of the hydro-turbine generator set, in a first preset direction (e.g., +X direction) and a second preset direction (e.g., +Y direction); these micrometers are connected to the terminal via a data cable; the hydro-turbine generator set is started to rotate; during the rotation of the hydro-turbine generator set, the micrometers collect raw swing data at different axis positions of the preset location in the first preset direction and the second preset direction; the micrometers transmit the collected data in real time to the terminal in the form of electrical signals via the data cable. The terminal receives the first swing data sent by the micrometer in the first preset direction and the second swing data sent by the micrometer in the second preset direction; the first swing data and the second swing data collected in these two directions are used as the swing data of the preset location; the above process is repeated to obtain data in two directions from each preset location until all preset locations have been collected.
[0082] The technical solution provided in this embodiment is beneficial for obtaining more diverse and accurate swing data by using different micrometers to simultaneously collect swing data in different directions, so as to improve the accuracy of axis diagnosis, thereby facilitating improving the accuracy of determining the axis processing solution for the hydro-turbine generator set.
[0083] In one embodiment, in step S102, a net swing curve of a preset part is generated based on the swing data, specifically including the following contents: generating a first net swing curve of a first preset direction based on the first swing data; generating a second net swing curve of a second preset direction based on the second swing data; performing matching detection on the first net swing curve and the second net swing curve to obtain a net swing curve detection result of the preset part; when the net swing curve detection result indicates a pass, both the first net swing curve and the second net swing curve are used as the net swing curves of the preset part.
[0084] The first net swing curve may be a net swing curve calculated based on first swing data collected by the micrometer in a first preset direction (eg, +X direction).
[0085] The second net swing curve may be a net swing curve calculated based on the second swing data collected by the micrometer in the second preset direction (eg, +Y direction).
[0086] The net swing curve detection result may be a result of determining whether the first net swing curve and the second net swing curve match. If they match, it indicates a pass; otherwise, it indicates a fail.
[0087] Optionally, the terminal generates a first net swing curve corresponding to the first preset direction based on the first swing data; generates a second net swing curve corresponding to the second preset direction based on the second swing data; performs a matching test on the first net swing curve and the second net swing curve to determine whether the two curves match; when the net swing curve test result indicates that the match is passed, the first net swing curve and the second net swing curve are directly used as the net swing curves of the preset position; when the net swing curve test result indicates that the match fails, it is necessary to recheck whether the measurement data is incorrect, or repeat the measurement to generate a new net swing curve for matching test.
[0088] The technical solution provided in this embodiment improves the reliability and accuracy of the net swing curve by mutually verifying the data collected in two directions, thereby facilitating improving the accuracy of determining the axis processing solution for the hydro-generator set.
[0089] In one of the embodiments, in step S104, an axis processing prediction is performed on the hydro-generator set based on the net full swing data and the axis data graph to obtain an axis processing scheme for the hydro-generator set, specifically including the following contents: obtaining the thrust head retaining ring diameter of the hydro-generator set and the distance between each preset position and the constraint guide bearing of the hydro-generator set as equipment parameters of the hydro-generator set; and performing an axis processing prediction on the hydro-generator set based on the equipment parameters, the net full swing data and the axis data graph to obtain an axis processing scheme for the hydro-generator set.
[0090] The thrust head retaining ring may be a retaining ring component installed on the turbine shaft for adjusting the axis.
[0091] The thrust head retaining ring diameter may be the diameter size of the thrust head retaining ring.
[0092] The restrained guide bearing may be a bearing component that is relatively fixed to a main component (such as a preset position) of the hydro-generator set.
[0093] The distance between each preset position and the constraint guide bearing may be the distance between the main components of the hydro-generator set and the corresponding constraint guide bearing.
[0094] The equipment parameters may be structural parameters of the hydro-generator set.
[0095] Optionally, the terminal obtains the thrust head retaining ring diameter of the hydro-turbine generator set, and the distance between each preset position and the constraint guide bearing of the hydro-turbine generator set; the thrust head retaining ring diameter and the distance between each preset position and the constraint guide bearing of the hydro-turbine generator set are used as equipment parameters of the hydro-turbine generator set; based on the equipment parameters, net full swing data and axis data diagram, the axis processing of the hydro-turbine generator set is predicted to obtain the axis processing plan of the hydro-turbine generator set.
[0096] The technical solution provided in this embodiment determines the axis processing solution of the hydro-generator set based on equipment parameters, net full swing data and axis data diagram, thereby helping to improve the efficiency and accuracy of determining the axis processing solution of the hydro-generator set.
[0097] In one embodiment, an axis processing prediction is performed on a hydro-generator set based on equipment parameters, net full swing data and an axis data diagram to obtain an axis processing scheme for the hydro-generator set, specifically including the following contents: an axis processing prediction is performed on a hydro-generator set based on equipment parameters, net full swing data and an axis data diagram to obtain an axis processing scheme for a preset location and an axis comprehensive processing scheme for the hydro-generator set; a thrust head retaining ring scraping scheme for the hydro-generator set and a thrust head retaining ring partition scraping amount schematic diagram for the hydro-generator set are generated based on the axis processing scheme for the preset location and the axis comprehensive processing scheme for the hydro-generator set; the thrust head retaining ring scraping scheme and the thrust head retaining ring partition scraping amount schematic diagram are both used as the axis processing scheme.
[0098] The axis processing solution for the preset position can be a thrust head retaining ring scraping solution given for a single preset position to meet the axis requirements of the position.
[0099] The comprehensive treatment plan for the axis of the hydro-turbine generator set can be an optimal scraping plan for the thrust head retaining ring by comprehensively considering the axis requirements of all preset parts.
[0100] The thrust head retaining ring scraping solution may be a specific amount of scraping required for the thrust head retaining ring.
[0101] The schematic diagram of the scraping amount of the thrust head retaining ring in different zones may be a graphical representation of the scraping amount required for scraping each zone of the thrust head retaining ring.
[0102] The axis processing plan may include a thrust head retaining ring scraping plan and a thrust head retaining ring partition scraping amount diagram, providing a reference basis for the axis adjustment of the hydro-generator set.
[0103] Optionally, the terminal performs axis processing prediction calculations based on equipment parameters of the hydro-turbine generator set (such as the thrust head retaining ring diameter, the distance between various parts, etc.), the net full swing data of each preset part, and the axis data diagram, to obtain a separate axis processing plan for each preset part, that is, the thrust head retaining ring scraping plan required for the part. At the same time, by comprehensively considering the requirements of all preset parts, a comprehensive axis processing plan for the entire hydro-turbine generator set is given; based on the axis processing plans for the individual preset parts and the comprehensive axis processing plan, an overall scraping plan for the thrust head retaining ring of the hydro-turbine generator set is generated, that is, the specific scraping values required at different positions are given; based on the thrust head retaining ring scraping plan, a schematic diagram of the scraping amount of each zone of the thrust head retaining ring that needs to be scraped is generated as a schematic diagram of the thrust head retaining ring scraping amount of the hydro-turbine generator set; the thrust head retaining ring scraping plan and the schematic diagram of the thrust head retaining ring scraping amount are used as the axis processing plan for the hydro-turbine generator set; based on this axis processing plan, actual thrust head retaining ring scraping adjustment processing is performed to complete the axis processing of the hydro-turbine generator set.
[0104] The technical solution provided in this embodiment is beneficial to improving the accuracy of determining the axis processing solution of the hydro-turbine generator set by using the thrust head retaining ring scraping solution and the thrust head retaining ring partition scraping amount schematic diagram as the axis processing solution based on each preset position and the comprehensive axis processing solution.
[0105] In one embodiment, after the thrust head clamping ring scraping plan and the thrust head clamping ring partition scraping amount schematic diagram are both used as the axis processing plan, the following content is also included: based on the thrust head clamping ring scraping plan and the thrust head clamping ring partition scraping amount schematic diagram, a schematic diagram for comparing the axis status of the hydro-turbine generator set after the thrust head clamping ring is scraped is generated; and the axis processing plan and the schematic diagram for comparing the axis status are used as auxiliary information for performing thrust head clamping ring scraping processing on the hydro-turbine generator set.
[0106] The thrust head retaining ring may be a component connecting the turbine and the generator main shaft, and the axis position may be adjusted by scraping.
[0107] The axis state comparison diagram may be a diagram of the axis state of the hydro-generator set before and after scraping, and may be used to visually compare axis changes.
[0108] The auxiliary information may be additional information provided to on-site operators for reference, so as to assist in the scraping work of the thrust head retaining ring.
[0109] Optionally, the terminal generates a schematic diagram comparing the axis states of the hydro-turbine generator set before and after the thrust head clamping ring is scraped based on the thrust head clamping ring scraping plan and the thrust head clamping ring partition scraping amount schematic diagram, as an axis state comparison schematic diagram; the axis processing plan and the axis state comparison schematic diagram are provided to on-site operators as auxiliary information for performing thrust head clamping ring scraping treatment on the hydro-turbine generator set, as reference information for performing thrust head clamping ring scraping treatment.
[0110] The technical solution provided in this embodiment draws a schematic diagram for comparing the axis states, which, together with the axis processing solution, serves as an auxiliary reference for the thrust head retaining ring scraping work to achieve adjustment of the axis of the hydro-turbine generator set, thereby helping to improve the accuracy of the axis processing of the hydro-turbine generator set.
[0111] In one embodiment, in step S103, an axis data diagram of the hydro-turbine generator set is generated, specifically including the following contents: based on the net swing curve, an axis state schematic diagram and an axis swing orientation diagram of the hydro-turbine generator set before axis processing are generated; and the axis state schematic diagram and the axis swing orientation diagram are both used as axis data diagrams.
[0112] The schematic diagram of the axis state of the hydro-generator set before axis processing may be a schematic diagram for describing the positional relationship and swing conditions of various characteristic parts (such as preset parts) of the axis of the hydro-generator set before processing.
[0113] The axis swing orientation diagram can be a diagram used to describe the specific swing values and orientations of various characteristic parts of the axis of the hydro-generator set before processing, and can clarify the size and position of the swing.
[0114] Optionally, the terminal generates an axis status diagram of the hydro-turbine generator set before axis processing based on the net swing curve using a built-in algorithm; then, based on the net swing curve, automatically generates an axis swing orientation diagram of the hydro-turbine generator set before axis processing, which is used to clarify the specific swing value and orientation of each preset position; the axis status diagram and axis swing orientation diagram generated above are both used as axis data diagrams.
[0115] The technical solution provided in this embodiment generates an axis state diagram and an axis swing azimuth diagram of the hydro-turbine generator set before axis processing as an axis data diagram, which is conducive to obtaining more accurate and diverse axis data diagrams, thereby helping to improve the accuracy of axis processing of the hydro-turbine generator set.
[0116] The following application example illustrates the digital intelligent hydro-generator axis processing method provided by this application. This application example uses the method applied to a terminal as an example. The main steps include:
[0117] Step 1: Install two percentage micrometers in the +X and +Y directions at each characteristic part of the hydro-generator set, and connect them to the terminal via a data cable. They are used to collect the absolute swing data of each shaft number at each characteristic part during cranking, and transmit the data to the terminal.
[0118] Step 2: Perform the unit cranking operation manually or mechanically. Before cranking begins, calibrate the initial unit position corresponding to the X-axis micrometer to "1" and the initial unit position corresponding to the +Y-axis micrometer to "3." Crank the unit to rotate at a constant speed. Data signals are collected for every other axis number. The micrometer transmits the collected data signals to the terminal, which analyzes and organizes the data. Net runout curves for +X and +Y are generated, respectively. These are compared and tested to increase fault tolerance. If any abnormality is detected, an automatic alarm will be issued. Refer to Figure 2 for the first net runout curve (the +X-axis net runout curve). The horizontal coordinates include coordinates 0, 2, 3, 4, 5, 6, 7, and 8, and the vertical coordinates include coordinates 4, 2, 0, -2, -4, -6, -8, -10, and -12. The curves include the curves of the lower guide, the curve of the intermediate shaft upper flange, the curve of the intermediate shaft lower flange, and the curve of the water guide. Referring to FIG3 , the second net swing curve (net swing curve in the +Y direction) has horizontal coordinates of 0, 2, 3, 4, 5, 6, 7 and 8, and vertical coordinates of 10, 8, 6, 4, 2, 0, -2, -4 and -6. The curves include the curve of the lower guide, the curve of the flange on the intermediate shaft, the curve of the lower flange of the intermediate shaft and the curve of the water guide.
[0119] Step 3: The terminal calculates and organizes the net full swing data of each part of the unit, and generates a schematic diagram of the axis state and the axis swing orientation diagram before the unit axis is processed. Refer to Figure 4 for the schematic diagram of the axis state before scraping, which includes the unit axis state, horizontal coordinates and vertical coordinates before scraping. Refer to Figure 5 for the axis swing orientation diagram before scraping, which includes #1, #2, #3, #4, #5, #6, #7 and #8 (which can represent different directions respectively), as well as the axis swing orientation diagrams corresponding to the upper guide, lower guide, intermediate shaft upper flange, intermediate shaft lower flange and water guide.
[0120] Step 4: After outputting the axis status, the terminal automatically generates an axis diagnosis report. At this time, the technical engineer can input data parameters such as the thrust head retaining ring diameter of the unit and the distance between each characteristic part and the constraint guide bearing, and automatically calculate and generate the axis treatment plan for each characteristic part and the axis comprehensive treatment plan (thrust head retaining ring scraping plan, automatically generate a partition scraping amount diagram), and finally output the axis status diagram after axis treatment. Compared with the axis before treatment, the advantages and disadvantages of the axis treatment plan can be intuitively judged. If the technical engineer has doubts about the calculation results, he can also manually adjust the thrust head scraping amount, and the axis status can be corrected accordingly.
[0121] The data input area (data parameter input area) may include the geometric dimensions related to the unit cranking. The geometric dimensions related to the unit cranking may include the value of the retaining ring diameter, the value from the bottom of the retaining ring to the center of the lower guide bushing, the value from the bottom of the retaining ring to the plane of the lower flange of the lower end shaft (upper flange of the intermediate shaft), the value from the bottom of the retaining ring to the plane of the lower flange of the intermediate shaft, the value from the bottom of the retaining ring to the center of the water guide bushing, and the diameters of the lower flange of the lower end shaft of the generator and the upper and lower flanges of the intermediate shaft.
[0122] The single feature part processing plan may include a high point value, a calculation reference point (which may include a lower guide, an intermediate shaft upper flange, an intermediate shaft lower flange and a water guide) and a maximum scraping amount value for the retaining ring.
[0123] The schematic diagram of the scraping amount of the thrust head retaining ring can be referred to in Figure 6, which includes different position points (such as 1, 2, 3, 4, 5, 6, 7 and 8). The scraping amount of the retaining ring is divided into 6 zones (such as zone 1, zone 2, zone 3, zone 4, zone 5 and zone 6) along the center line from the high point to the low point. For example, the high point can be point 8, the scraping amount of zone 1 is 1.00 (the unit can be 0.01 mm), the scraping amount of zone 2 is 0.80, the scraping amount of zone 3 is 0.60, the scraping amount of zone 4 is 0.40, the scraping amount of zone 5 is 0.20, the scraping amount of zone 6 is 0, and the low point can be point 4.
[0124] The comprehensive treatment plan for each characteristic part may include information before scraping: the coordinates of each point on the axis of each preset part (upper guide, lower guide, intermediate shaft upper flange, intermediate shaft lower flange and water guide) and the angle with the X-axis; information after scraping: the axis treatment plan, which may include the scraping amount of the retaining ring of each preset part (upper guide, lower guide, intermediate shaft upper flange, intermediate shaft lower flange and water guide), the estimated swing of the measuring point and the standard value.
[0125] A schematic diagram comparing the state of the unit axis after scraping the thrust head retaining ring can be referred to FIG7 , which may include the state of the unit axis before scraping, the state of the unit axis after scraping, the horizontal axis, and the vertical axis.
[0126] Step 5: After confirming that the axis treatment plan is correct, the thrust head retaining ring scraping treatment can be carried out according to the thrust head retaining ring partition scraping amount diagram. After treatment, repeat steps 1 to 4 until the unit axis is qualified.
[0127] A hydroelectric generator set is a power generation unit consisting of a turbine and its associated generator at a hydropower station. It is the primary power source for generating electricity. When water flows through the turbine, it converts water energy into mechanical energy that drives the machine's rotation. The generator, in turn, converts this mechanical energy into electrical energy for output.
[0128] Swing: The radial vibration of a certain part of the main shaft of a hydro-generator set relative to the adjacent fixed parts, also known as shaft relative vibration.
[0129] Turning: In a hydro-turbine generator, the rotor and runner are connected by multiple large shafts. Therefore, the rotor needs to be rotated manually once, usually using thrust bearings, to determine the deviation between the actual center of the unit and the theoretical center. Adjustments are then made based on the measured data. If the deviation is not adjusted, it will be magnified by the axis extension, exceeding the standard and affecting the unit's efficiency. Multiple turns are usually required to find the optimal center alignment.
[0130] Axis: The axis of the unit refers to the geometric center line of the rotating shaft of the turbine generator unit.
[0131] Total swing: The difference between the dial indicator readings at two symmetrical measuring points at the same measuring location (e.g., for a total of 8 tiles, upper guide #1 - upper guide #5) is called the total swing. It is actually the horizontal displacement of the main shaft.
[0132] Net swing: The difference between the dial indicator readings at the upper and lower parts of the same measuring point (for example: 8 tiles in total, upper guide #1 - lower guide #1) is called net swing.
[0133] Net total swing: The difference between the total swing values of the upper and lower parts of the same measuring point (for example: there are 8 tiles in total, the total swing of the upper guide #1-#5 minus the total swing of the lower guide #1-#5) is called the net total swing.
[0134] The technical solution provided in this application example achieves the following: 1. It overcomes the high labor cost of the unit axis diagnosis method. Utilizing equipment such as percentage micrometers and computers, the unit axis diagnosis and processing is digitalized and intelligent, minimizing labor costs. 2. It overcomes the technical challenges of the unit axis length diagnosis method, which requires a high level of technical expertise. This technical solution relies on computers to collect, calculate, and organize unit runout data, eliminating the need for centralized training for a large number of technicians and significantly reducing time costs. 3. It overcomes the computational challenges and errors associated with the unit axis processing method. This technical solution relies on intelligent computer computing for data collection and calculation, and uses percentage micrometers in both the +X and +Y directions to collect and verify data, making data collection and calculation more accurate and reliable, while also significantly reducing time costs. 4. It overcomes the computational difficulties associated with the unit axis diagnosis and processing method. This technical solution uses intelligent computer calculations to determine the optimal solution for the retaining ring. This solution can then be manually verified by manually entering target values to quickly obtain runout data for each feature, making the calculation more convenient and reliable. 5. This overcomes the problem of axis diagnosis technology lacking axis status visualization. This technical solution not only automatically generates a unit axis status diagram based on data calculations, visually displaying the axis status, but also automatically generates an axis diagnosis report and a diagram of the axis status after treatment. This allows for intuitive comparison of the axis status before and after treatment, helping to clearly judge the pros and cons of the axis treatment solution. 6. This improves the efficiency and accuracy of determining axis treatment solutions for hydro-turbine generator units.
[0135] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above can include multiple steps or multiple stages, and these steps or stages are not necessarily executed and completed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of steps or stages in other steps.
[0136] Based on the same inventive concept, the embodiments of the present application further provide a digitally intelligent hydro-generator axis processing device for implementing the digitally intelligent hydro-generator axis processing method described above. The solution to the problem provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the digitally intelligent hydro-generator axis processing device provided below can be found in the above-mentioned limitations of the digitally intelligent hydro-generator axis processing method, and will not be repeated here.
[0137] In one embodiment, as shown in FIG8 , a digital and intelligent hydro-generator axis processing device is provided. The digital and intelligent hydro-generator axis processing device 800 may include:
[0138] The data acquisition module 801 is used to acquire the swing data of a preset part of the hydro-generator set collected by the micrometer;
[0139] The curve generating module 802 is used to generate a net swing curve of a preset part according to the swing data;
[0140] The data calculation module 803 is used to calculate the net full swing data of the preset position according to the net swing curve, and generate the axis data diagram of the hydro-generator set; and
[0141] The unit prediction module 804 is used to perform axis processing prediction on the hydro-generator unit based on the net full swing data and the axis data diagram, and obtain an axis processing solution for the hydro-generator unit.
[0142] In one embodiment, a micrometer is installed in the first preset direction of the preset position and the second preset direction of the preset position; the data acquisition module 801 is also used to receive the first swing data of the first preset direction and the second swing data of the second preset direction sent by the micrometer; the first swing data and the second swing data are both collected by the micrometer when the hydro-turbine generator set is in the cranking state; and the first swing data and the second swing data are both used as swing data.
[0143] In one embodiment, the curve generation module 802 is further used to generate a first net swing curve in a first preset direction based on the first swing data; generate a second net swing curve in a second preset direction based on the second swing data; perform matching detection on the first net swing curve and the second net swing curve to obtain a net swing curve detection result of the preset position; and when the net swing curve detection result indicates a pass, use the first net swing curve and the second net swing curve as the net swing curves of the preset position.
[0144] In one embodiment, the unit prediction module 804 is also used to obtain the thrust head retaining ring diameter of the hydro-turbine generator set and the distance between each preset position and the constraint guide bearing of the hydro-turbine generator set as the equipment parameters of the hydro-turbine generator set; and to perform axis processing prediction on the hydro-turbine generator set based on the equipment parameters, net full swing data and axis data diagram to obtain an axis processing solution for the hydro-turbine generator set.
[0145] In one embodiment, the unit prediction module 804 is also used to perform axis processing prediction on the hydro-turbine generator set based on equipment parameters, net full swing data and axis data diagram, and obtain the axis processing plan for the preset position and the comprehensive axis processing plan of the hydro-turbine generator set; based on the axis processing plan for the preset position and the comprehensive axis processing plan of the hydro-turbine generator set, generate the thrust head retaining ring scraping plan of the hydro-turbine generator set and the thrust head retaining ring partition scraping amount schematic diagram of the hydro-turbine generator set; and use the thrust head retaining ring scraping plan and the thrust head retaining ring partition scraping amount schematic diagram as the axis processing plan.
[0146] In one embodiment, the device 800 also includes: an information generation module, which is used to generate a comparison diagram of the axis state of the hydro-turbine generator set after the thrust head retaining ring is scraped according to the thrust head retaining ring scraping plan and the thrust head retaining ring partition scraping amount diagram; and use the axis processing plan and the axis state comparison diagram as auxiliary information for performing thrust head retaining ring scraping processing on the hydro-turbine generator set.
[0147] In one embodiment, the data calculation module 803 is also used to generate an axis state diagram and an axis swing orientation diagram of the hydro-turbine generator set before axis processing based on the net swing curve; and use the axis state diagram and the axis swing orientation diagram as axis data diagrams.
[0148] Each module in the aforementioned digital and intelligent hydro-generator axis processing device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in the computer device in the form of software, so that the processor can call and execute the corresponding operations of each module.
[0149] In one embodiment, a computer device is provided, which may be a terminal. Its internal structure may be as shown in FIG9 . The computer device includes a processor, memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, memory, and input / output interface are connected via a system bus, while the communication interface, display unit, and input device are connected to the system bus via the input / output interface. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and computer-readable instructions. The internal memory provides an environment for the operation of the operating system and computer-readable instructions in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and external devices. The communication interface of the computer device is used to communicate with external terminals via wired or wireless communication, which may be achieved via Wi-Fi, a mobile cellular network, NFC (near-field communication), or other technologies. When executed by the processor, the computer-readable instructions implement a digital and intelligent method for processing the axis of a hydro-turbine generator set. The display unit of the computer device is used to produce a visually visible image and may be a display screen, a projection device, or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device casing, or an external keyboard, touchpad or mouse.
[0150] Those skilled in the art will understand that the structure shown in Figure 9 is merely a block diagram of a portion of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.
[0151] In one embodiment, a computer device is also provided, including a memory and one or more processors, wherein the memory stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the steps of the digital and intelligent hydro-generator axis processing method provided in any embodiment of the present application are implemented.
[0152] In one embodiment, one or more non-volatile computer-readable storage media storing computer-readable instructions are provided. When the computer-readable instructions are executed by one or more processors, the one or more processors implement the steps of the digital and intelligent hydro-generator axis processing method provided in any embodiment of the present application.
[0153] In one embodiment, a computer program product is provided, including computer-readable instructions, which, when executed by a processor, implement the steps of the digital and intelligent hydro-generator axis processing method provided in any embodiment of the present application.
[0154] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.
[0155] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through computer-readable instructions. The computer-readable instructions can be stored in a non-volatile computer-readable storage medium. When the computer-readable instructions are executed, they can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided in this application may include at least one of non-volatile and volatile memory. Non-volatile memory may include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory may include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in the various embodiments provided herein may be, but are not limited to, a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, and the like.
[0156] The technical features of the above-mentioned embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above-mentioned embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0157] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.
Claims
1. A digital and intelligent method for processing the axis of a hydro-generator set, comprising: receiving first swing data of a first preset direction of a preset position in the hydro-generator set and second swing data of a second preset direction of the preset position sent by the micrometer; using the first swing data and the second swing data as the swing data of a preset position in the hydro-generator set; generating a first net swing curve in the first preset direction according to the first swing data; generating a second net swing curve in the second preset direction according to the second swing data; Performing a matching test on the first net swing curve and the second net swing curve to determine whether the first net swing curve and the second net swing curve match, thereby obtaining a net swing curve test result of the preset position; If the net swing curve test result indicates a successful match, both the first net swing curve and the second net swing curve are used as the net swing curves of the preset location. If the net swing curve test result indicates a failed match, rechecking the measurement data for errors or repeating the measurement to generate a new net swing curve for a matching test. The net swing curve is a curve drawn based on the degree of swing between two adjacent axis numbers in the X and Y directions at different preset locations. Calculating the net full swing data of the preset parts according to the net swing curve, and generating an axis data diagram of the hydro-generator set; the net full swing data is the total swing degree between all axis numbers in the X and Y directions of the different preset parts; and According to the net full swing data and the axis data diagram, an axis processing prediction is performed on the hydro-generator set to obtain an axis processing solution for the hydro-generator set.
2. The method according to claim 1, characterized in that The micrometer is installed in both the first preset direction of the preset position and the second preset direction of the preset position.
3. The method according to claim 2, characterized in that The first swing data and the second swing data are both collected by the micrometer when the hydro-generator set is in a cranking state.
4. The method according to claim 1, wherein The step of performing axis processing prediction on the hydro-generator set based on the net full swing data and the axis data graph to obtain an axis processing solution for the hydro-generator set includes: Obtaining the diameter of the thrust head retaining ring of the hydro-generator set and the distance between each of the preset positions and the constraint guide bearing of the hydro-generator set as equipment parameters of the hydro-generator set; and According to the equipment parameters, the net full swing data and the axis data diagram, an axis processing prediction is performed on the hydro-generator set to obtain an axis processing solution for the hydro-generator set.
5. The method according to claim 4, characterized in that The step of performing axis processing prediction on the hydro-generator set based on the equipment parameters, the net full swing data, and the axis data graph to obtain an axis processing solution for the hydro-generator set includes: Performing axis processing prediction on the hydro-generator set according to the equipment parameters, the net full swing data, and the axis data diagram to obtain an axis processing solution for the preset location and a comprehensive axis processing solution for the hydro-generator set; Generate a thrust head retaining ring scraping scheme and a schematic diagram of the thrust head retaining ring scraping amount of the hydraulic generator set based on the axis processing scheme of the preset position and the comprehensive axis processing scheme of the hydraulic generator set; and The thrust head retaining ring scraping scheme and the thrust head retaining ring partition scraping amount schematic diagram are both used as the axis processing scheme.
6. The method according to claim 5, characterized in that After the thrust head snap ring scraping scheme and the thrust head snap ring partition scraping amount diagram are both used as the axis processing scheme, the method further includes: According to the thrust head retaining ring scraping scheme and the thrust head retaining ring partition scraping amount diagram, a schematic diagram for comparing the axis states of the hydro-generator set after the thrust head retaining ring is scraped is generated; and The axis processing scheme and the axis status comparison diagram are used as auxiliary information for performing thrust head retaining ring scraping processing on the hydro-generator set.
7. The method according to claim 1, characterized in that The generating of the axis data diagram of the hydro-generator set includes: generating an axis state diagram and an axis swing orientation diagram of the hydro-generator set before axis processing according to the net swing curve; and The axis state diagram and the axis swing orientation diagram are both used as the axis data diagram.
8. A digital and intelligent hydro-generator axis processing device, comprising: a data acquisition module, configured to receive first swing data of a first preset direction of a preset position in the hydro-generator set and second swing data of a second preset direction of the preset position sent by the micrometer; using the first swing data and the second swing data as the swing data of a preset position in the hydro-generator set; a curve generating module, configured to generate a first net swing curve in the first preset direction according to the first swing data; generating a second net swing curve in the second preset direction based on the second swing data; performing a matching test on the first net swing curve and the second net swing curve to determine whether the first net swing curve and the second net swing curve match, thereby obtaining a net swing curve test result for the preset location; if the net swing curve test result indicates a successful match, using both the first net swing curve and the second net swing curve as the net swing curve for the preset location; if the net swing curve test result indicates a failed match, rechecking the measurement data for errors or repeating the measurement to generate a new net swing curve for a matching test; the net swing curve is a curve drawn based on the degree of swing between two adjacent axis numbers in the X and Y directions at different preset locations; a data calculation module, configured to calculate the net full swing data of the preset parts according to the net swing curve, and generate an axis data diagram of the hydro-generator set; the net full swing data is the total swing degree between all axis numbers of the different preset parts in the X and Y directions; and The unit prediction module is used to perform axis processing prediction on the hydro-generator set according to the net full swing data and the axis data diagram, and obtain the axis processing solution of the hydro-generator set.
9. The device according to claim 8, characterized in that The micrometer is installed in both the first preset direction of the preset position and the second preset direction of the preset position.
10. The device according to claim 9, characterized in that The first swing data and the second swing data are both collected by the micrometer when the hydro-generator set is in a cranking state.
11. The device according to claim 8, characterized in that The unit prediction module is also used to obtain the thrust head retaining ring diameter of the hydro-generator set and the distance between each preset position and the constraint guide bearing of the hydro-generator set as the equipment parameters of the hydro-generator set; and based on the equipment parameters, the net full swing data and the axis data diagram, perform axis processing prediction on the hydro-generator set to obtain the axis processing plan of the hydro-generator set.
12. The device according to claim 11, characterized in that The unit prediction module is further used to perform axis processing prediction on the hydro-generator set based on the equipment parameters, the net full swing data and the axis data diagram, and obtain the axis processing plan for the preset position and the comprehensive axis processing plan for the hydro-generator set; based on the axis processing plan for the preset position and the comprehensive axis processing plan for the hydro-generator set, generate a thrust head retaining ring scraping plan for the hydro-generator set and a thrust head retaining ring partition scraping amount schematic diagram for the hydro-generator set; and use the thrust head retaining ring scraping plan and the thrust head retaining ring partition scraping amount schematic diagram as the axis processing plan.
13. The device according to claim 12, characterized in that Also includes: An information generation module is configured to generate a schematic diagram comparing the axis status of the hydro-turbine generator set after the thrust head retaining ring is scraped based on the thrust head retaining ring scraping scheme and the thrust head retaining ring partition scraping amount schematic diagram; and to use the axis processing scheme and the axis status comparison schematic diagram as auxiliary information for performing thrust head retaining ring scraping processing on the hydro-turbine generator set.
14. The device according to claim 8, characterized in that The data calculation module is also used to generate an axis state diagram and an axis swing orientation diagram of the hydro-generator set before axis processing based on the net swing curve; and use the axis state diagram and the axis swing orientation diagram as the axis data diagram.
15. A computer device comprising a memory and one or more processors, wherein the memory stores computer-readable instructions, characterized in that: When the computer-readable instructions are executed by the processor, the steps of the method according to any one of claims 1 to 7 are implemented.
16. One or more non-volatile computer-readable storage media storing computer-readable instructions, which, when executed by one or more processors, cause the one or more processors to implement the steps of the method according to any one of claims 1 to 7.
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