Hydroelectric generator set axis processing method and apparatus based on digitalization and intelligence

Abstract

The present application relates to a hydroelectric generator set axis processing method and apparatus based on digitalization and intelligence, and a computer device, a storage medium and a computer program product. The method comprises: acquiring swing data, which is acquired by micrometers, of a preset part in a hydroelectric generator set; on the basis of the swing data, generating net swing curves of the preset part; on the basis of the net swing curves, calculating net full swing data of the preset part, and generating axis data graphs of the hydroelectric generator set; and on the basis of the net full swing data and the axis data graphs, performing axis processing prediction on the hydroelectric generator set to obtain an axis processing scheme of the hydroelectric generator set.

Description

Method and device for processing axis of hydroelectric generating set based on digitalization and intelligentization

[0001] Related applications

[0002] The present application claims priority to the Chinese patent application No. 2024103392709, filed on March 25, 2024, and entitled "Method and device for processing axis of hydroelectric generating set based on digitalization and intelligentization", the contents of which are hereby incorporated by reference in its entirety. TECHNICAL FIELD

[0003] The present application relates to a method and device for processing axis of hydroelectric generating set based on digitalization and intelligentization, a computer device, a storage medium and a computer program product. BACKGROUND

[0004] With the development of the field of electric power engineering, hydroelectric generating sets have important applications in many fields. By maintaining the axis of the hydroelectric generating set, the running efficiency and stability of the hydroelectric generating set can be understood, which is of great significance to ensure reliable power supply of the power system and improve the efficiency of power generation. Therefore, how to efficiently determine the axis processing scheme of the hydroelectric generating set has become an important research direction.

[0005] The traditional technology usually determines the axis processing scheme of the hydroelectric generating set by manual measurement and adjustment; however, the inventors realize that determining the axis processing scheme of the hydroelectric generating set by this way needs to consume a lot of manual processing time, resulting in low efficiency of determining the axis processing scheme of the hydroelectric generating set. SUMMARY

[0006] According to various embodiments of the present application, a method and device for processing axis of hydroelectric generating set based on digitalization and intelligentization, a computer device, a storage medium and a computer program product are provided.

[0007] A method for processing axis of hydroelectric generating set based on digitalization and intelligentization, comprising:

[0008] obtaining swing data of a preset part in the hydroelectric generating set collected by a micrometer;

[0009] generating a net swing curve of the preset part according to the swing data;

[0010] calculating net full swing data of the preset part according to the net swing curve, and generating an axis data graph of the hydroelectric generating set; and

[0011] performing axis processing prediction on the hydroelectric generating set according to the net full swing data and the axis data graph, to obtain an axis processing scheme of the hydroelectric generating set.

[0012] In one of the embodiments, the first preset direction of the preset position and the second preset direction of the preset position are both installed with the micrometer;

[0013] The swing data of the preset position in the hydroelectric generating set collected by the micrometer comprises:

[0014] The first swing data of the first preset direction and the second swing data of the second preset direction sent by the micrometer are received; the first swing data and the second swing data are both collected by the micrometer when the hydroelectric generating set is in the turning state; and

[0015] The first swing data and the second swing data are both taken as the swing data.

[0016] In one of the embodiments, the generating of the net swing curve of the preset position according to the swing data comprises:

[0017] The first net swing curve of the first preset direction is generated according to the first swing data;

[0018] The second net swing curve of the second preset direction is generated according to the second swing data;

[0019] The first net swing curve and the second net swing curve are matched and detected to obtain the net swing curve detection result of the preset position; and

[0020] When the net swing curve detection result indicates passing, the first net swing curve and the second net swing curve are both taken as the net swing curve of the preset position.

[0021] In one of the embodiments, the shaft line processing prediction of the hydroelectric generating set according to the net full swing data and the shaft line data diagram comprises:

[0022] The diameter of the thrust head snap ring of the hydroelectric generating set and the distance between each of the preset positions and the constraint guide bearing of the hydroelectric generating set are taken as the equipment parameters of the hydroelectric generating set; and

[0023] The shaft line processing prediction of the hydroelectric generating set according to the equipment parameters, the net full swing data and the shaft line data diagram is performed to obtain the shaft line processing scheme of the hydroelectric generating set.

[0024] In one of the embodiments, the shaft line processing prediction of the hydroelectric generating set according to the equipment parameters, the net full swing data and the shaft line data diagram comprises:

[0025] According to the device parameters, the net full swing data and the axis data graph, an axis processing prediction is performed on the hydroelectric generating set to obtain an axis processing scheme of the preset part and an axis comprehensive processing scheme of the hydroelectric generating set;

[0026] According to the axis processing scheme of the preset part and the axis comprehensive processing scheme of the hydroelectric generating set, a thrust head clamping ring scraping scheme of the hydroelectric generating set and a thrust head clamping ring partition scraping amount schematic diagram of the hydroelectric generating set are generated; and

[0027] The thrust head clamping ring scraping scheme and the thrust head clamping ring partition scraping amount schematic diagram are both used as the axis processing scheme.

[0028] In one of the embodiments, after the thrust head clamping ring scraping scheme and the thrust head clamping ring partition scraping amount schematic diagram are both used as the axis processing scheme, it further includes:

[0029] According to the thrust head clamping ring scraping scheme and the thrust head clamping ring partition scraping amount schematic diagram, an axis state comparison schematic diagram of the hydroelectric generating set after thrust head clamping ring scraping is generated; and

[0030] The axis processing scheme and the axis state comparison schematic diagram are used as auxiliary information for thrust head clamping ring scraping processing of the hydroelectric generating set.

[0031] In one of the embodiments, the generation of the axis data graph of the hydroelectric generating set includes:

[0032] According to the net swing curve, an axis state schematic diagram and an axis swing azimuth diagram of the hydroelectric generating set before axis processing are generated; and

[0033] The axis state schematic diagram and the axis swing azimuth diagram are both used as the axis data graph.

[0034] A hydroelectric generating set axis processing device based on digitalization and intelligentization, comprising:

[0035] A data acquisition module is configured to acquire swing data of a preset part in a hydroelectric generating set collected by a micrometer;

[0036] A curve generation module is configured to generate a net swing curve of the preset part according to the swing data;

[0037] A data calculation module is configured to calculate net full swing data of the preset part and generate an axis data graph of the hydroelectric generating set according to the net swing curve; and

[0038] A unit prediction module is configured to perform an axial treatment prediction on the hydroelectric generating unit according to the net full swing data and the axial data diagram, and obtain an axial treatment scheme of the hydroelectric generating unit.

[0039] A computer device includes a memory and one or more processors, the memory stores computer readable instructions, and the computer readable instructions are executed by the processors to implement the steps of the method for axial treatment of a hydroelectric generating unit based on digitalization and intelligentization according to any one of the embodiments of the present application.

[0040] One or more non-volatile computer readable storage media storing computer readable instructions, and the computer readable instructions are executed by one or more processors to implement the steps of the method for axial treatment of a hydroelectric generating unit based on digitalization and intelligentization according to any one of the embodiments of the present application.

[0041] A computer program product includes computer readable instructions, and the computer readable instructions are executed by a processor to implement the steps of the method for axial treatment of a hydroelectric generating unit based on digitalization and intelligentization according to any one of the embodiments of the present application.

[0042] The details of one or more embodiments of the present application are presented 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 DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are only embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor on the basis of the disclosed drawings.

[0044] Fig. 1 is a flowchart of a method for axial treatment of a hydroelectric generating unit based on digitalization and intelligentization according to one or more embodiments.

[0045] Fig. 2 is a schematic diagram of a first net swing curve according to one or more embodiments.

[0046] Fig. 3 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 axial state before trimming according to one or more embodiments.

[0048] Fig. 5 is an axial swing orientation diagram before trimming according to one or more embodiments.

[0049] Fig. 6 is a schematic diagram of a thrust head snap ring partitioned scraping amount according to one or more embodiments.

[0050] Fig. 7 is a schematic diagram of a comparison of the shaft line state of the unit after the thrust head snap ring is scraped according to one or more embodiments.

[0051] Fig. 8 is a block diagram of a digital intelligent water turbine generator unit shaft line processing device according to one or more embodiments.

[0052] Fig. 9 is a block diagram of a computer device according to one or more embodiments. DETAILED DESCRIPTION

[0053] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the 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 of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of the present application.

[0054] In one of the embodiments, as shown in Fig. 1, a digital intelligent water turbine generator unit shaft line processing method is provided, and the embodiment is exemplified by the method applied to a terminal. It can be understood 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 realized through the interaction between the terminal and the server. The terminal can be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers and the like; the server can be realized by an independent server or a server cluster composed of multiple servers. In the embodiment, the method includes the following steps:

[0055] In step S101, the runout data of a preset part in a water turbine generator unit collected by a micrometer is acquired.

[0056] The water turbine generator unit can be the entire hydroelectric generator unit, and can include a water turbine and a generator.

[0057] The micrometer can be a precision measuring instrument for remotely collecting data, such as a percentage micrometer.

[0058] The runout data can be the original reading data collected by the micrometer at different parts and shaft number positions of the water turbine generator unit. The shaft number can be the number of each measuring point at the preset part, such as No. 1 shaft and No. 3 shaft.

[0059] The preset part can be the main part that needs to be diagnosed in the water turbine generator unit, such as the upper guide journal and the lower guide journal, and can also be the upper guide, the lower guide, the flange on the intermediate shaft, the flange below the intermediate shaft and the water guide.

[0060] Optionally, a micrometer is installed in advance at a preset position of the hydroelectric generator set to collect data; the hydroelectric generator set is rotated by turning or other means, and the micrometer starts to collect original runout data of different positions and shaft number positions; the micrometer transmits the collected original runout data to the terminal; and the terminal acquires the runout data of the preset position of the hydroelectric generator set collected by the micrometer.

[0061] In step S102, a net runout curve of the preset position is generated according to the runout data.

[0062] The net runout curve can be a curve drawn according to the swing degree between adjacent two shaft numbers in the X and Y directions of different preset positions, wherein X can represent the horizontal axis and Y can represent the vertical axis.

[0063] Optionally, the terminal generates a net runout curve of each preset position between different shaft numbers of the hydroelectric generator set according to the runout data of the preset position of the hydroelectric generator set collected by the micrometer.

[0064] In step S103, net total runout data of the preset position is calculated according to the net runout curve, and an axis data graph of the hydroelectric generator set is generated.

[0065] The net total runout data can be the total swing degree between all shaft numbers in the X and Y directions of different preset positions.

[0066] The axis data graph can be a state diagram of the axis of the hydroelectric generator set.

[0067] Optionally, the terminal calculates the net total runout data between all shaft numbers of each preset position according to the net runout curve, and draws the axis data graph of the hydroelectric generator set.

[0068] In step S104, an axis processing prediction of the hydroelectric generator set is made according to the net total runout data and the axis data graph, to obtain an axis processing scheme of the hydroelectric generator set.

[0069] The axis processing prediction can be an axis processing scheme that meets the runout requirements of each preset position.

[0070] The axis processing scheme can be a specific processing measure such as a scraping amount of a thrust head clamping ring and a partition given for the axis problem of the hydroelectric generator set, so as to adjust the axis of the hydroelectric generator set to meet the requirements.

[0071] Optionally, the terminal performs shaft line processing prediction analysis on the hydroelectric generating set according to the net full swing data and the shaft line data diagram, obtains a shaft line processing scheme of the hydroelectric generating set meeting the requirements, performs corresponding shaft line adjustment processing, such as scraping of the thrust head snap ring, on the spot according to the shaft line processing scheme, completes the shaft line diagnosis process, and after the processing is completed, the above process can be repeated for detection until the shaft line reaches the preset qualified standard.

[0072] In the above-mentioned hydroelectric generating set shaft line processing method based on digitalization and intelligentization, swing data of a preset part in the hydroelectric generating set collected by a micrometer is obtained, a net swing curve of the preset part is generated according to the swing data, net full swing data of the preset part is calculated according to the net swing curve, and a shaft line data diagram of the hydroelectric generating set is generated. According to the net full swing data and the shaft line data diagram, the shaft line processing prediction of the hydroelectric generating set is performed, and the shaft line processing scheme of the hydroelectric generating set is obtained. According to the swing data of the preset part in the hydroelectric generating set collected by the micrometer, the net swing curve of the preset part is generated, the net full swing data of the preset part is calculated according to the net swing curve, and the shaft line data diagram of the hydroelectric generating set is generated. According to the net full swing data and the shaft line data diagram, the shaft line processing prediction is performed, and the shaft line processing scheme of the hydroelectric generating set is obtained. In this way, when the hydroelectric generating set shaft line processing based on digitalization and intelligentization is performed, the whole process of shaft line diagnosis and processing is realized by digitalization and intelligentization through micrometer data collection and computer algorithm processing and analysis, thereby facilitating improvement of the efficiency and accuracy of determining the shaft line processing scheme of the hydroelectric generating set.

[0073] In one embodiment, in step S101, swing data of a preset part in the hydroelectric generating set collected by a 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 hydroelectric generating set is in the turning state; the first swing data and the second swing data are both used as swing data.

[0074] The first preset direction of the preset part and the second preset direction of the preset part are both installed with a micrometer.

[0075] The first preset direction can be a direction in which a first micrometer collects data at a preset part, for example, the +X direction (the positive direction of the horizontal axis).

[0076] The second preset direction can be a direction in which a second micrometer collects data at a preset part, for example, the +Y direction (the positive direction of the vertical axis).

[0077] The first swing data can be original swing data collected by the first micrometer in the first preset direction.

[0078] The second swing data can be original swing data collected by the second micrometer in the second preset direction.

[0079] The turning state can be a state in which the hydroelectric generating set is turned by manual or mechanical means for axis diagnosis.

[0080] The swing data can be first swing data and second swing data collected by two micrometers in different directions simultaneously as overall input data for subsequent calculation and processing.

[0081] Optionally, two micrometers are installed in each preset part (such as a characteristic part) of the hydroelectric generating set in a first preset direction (such as the +X direction) and a second preset direction (such as the +Y direction) respectively; the micrometers are connected to the terminal through a data line; the hydroelectric generating set is started to be turned; the micrometers collect original swing data of different shaft number positions of the preset part in the first preset direction and the second preset direction respectively during the turning of the hydroelectric generating set; the micrometers transmit the collected data to the terminal in the form of electrical signals in real time through the data line. 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 the two directions are taken as the swing data of the preset part; the above process is repeated to obtain data in two directions from each preset part until all the preset parts are collected.

[0082] The technical scheme provided by the embodiment is advantageous in obtaining more diverse and more accurate swing data by simultaneously collecting swing data in different directions by different micrometers, so as to improve the accuracy of axis diagnosis, thereby being advantageous in improving the accuracy of determining the axis processing scheme of the hydroelectric generating set.

[0083] In one of the embodiments, in step S102, the net swing curve of the preset part is generated according to the swing data, specifically including the following contents: the first net swing curve in the first preset direction is generated according to the first swing data; the second net swing curve in the second preset direction is generated according to the second swing data; the first net swing curve and the second net swing curve are matched and detected to obtain a net swing curve detection result of the preset part; in the case that the net swing curve detection result indicates passing, both the first net swing curve and the second net swing curve are taken as the net swing curve of the preset part.

[0084] The first net swing curve can be a net swing curve calculated according to the first swing data collected by the micrometer in the first preset direction (such as the +X direction).

[0085] The second net swing curve can be a net swing curve calculated according to the second swing data collected by the micrometer in the second preset direction (such as the +Y direction).

[0086] The net run-out curve detection result can be a result of judging whether the first net run-out curve and the second net run-out curve match, and if matching, it is passed, otherwise, it is not passed.

[0087] Optionally, the terminal generates a first net run-out curve corresponding to a first preset direction according to the first run-out data, generates a second net run-out curve corresponding to a second preset direction according to the second run-out data, performs matching detection on the first net run-out curve and the second net run-out curve to judge whether the two curves match, and in the case that the net run-out curve detection result indicates that the matching is passed, directly takes the first net run-out curve and the second net run-out curve as the net run-out curve of the preset part, and in the case that the net run-out curve detection result indicates that the matching is not passed, needs to recheck whether the measurement data is wrong or repeatedly measures to generate a new net run-out curve for matching detection.

[0088] The technical scheme provided in the embodiment improves the reliability and accuracy of the net run-out curve by verifying the data collected in two directions with each other, thereby being beneficial to improving the accuracy of determining the shaft line processing scheme of the hydroelectric generating set.

[0089] In one of the embodiments, in step S104, the shaft line processing scheme of the hydroelectric generating set is obtained by predicting the shaft line processing of the hydroelectric generating set according to the net full run-out data and the shaft line data diagram, and specifically includes the following contents: obtaining the thrust head clamping ring diameter of the hydroelectric generating set and the distance between each preset part and the constraint guide bearing of the hydroelectric generating set as the equipment parameters of the hydroelectric generating set; and predicting the shaft line processing of the hydroelectric generating set according to the equipment parameters, the net full run-out data and the shaft line data diagram to obtain the shaft line processing scheme of the hydroelectric generating set.

[0090] The thrust head clamping ring can be a clamping ring component installed on the water turbine shaft and used for adjusting the shaft line.

[0091] The thrust head clamping ring diameter can be the diameter size of the thrust head clamping ring.

[0092] The constraint guide bearing can be a bearing component relatively fixed to the main components (such as the preset parts) of the hydroelectric generating set.

[0093] The distance between each preset part and the constraint guide bearing can be the distance between the main components of the hydroelectric generating set and the corresponding constraint guide bearings.

[0094] The equipment parameters can be the structural parameters of the hydroelectric generating set.

[0095] Optionally, the terminal obtains a thrust head snap ring diameter of the hydroelectric generating set and distances from each preset position to the constraint guide bearing of the hydroelectric generating set; takes the thrust head snap ring diameter and the distances from each preset position to the constraint guide bearing of the hydroelectric generating set as equipment parameters of the hydroelectric generating set; and performs shaft line processing prediction on the hydroelectric generating set according to the equipment parameters, the net full swing data and the shaft line data diagram, to obtain a shaft line processing scheme of the hydroelectric generating set.

[0096] The technical scheme provided in the embodiment can determine the shaft line processing scheme of the hydroelectric generating set according to the equipment parameters, the net full swing data and the shaft line data diagram, thereby facilitating improvement of efficiency and accuracy of determining the shaft line processing scheme of the hydroelectric generating set.

[0097] In one of the embodiments, the shaft line processing scheme of the hydroelectric generating set is obtained by performing shaft line processing prediction on the hydroelectric generating set according to the equipment parameters, the net full swing data and the shaft line data diagram, and specifically includes the following contents: performing shaft line processing prediction on the hydroelectric generating set according to the equipment parameters, the net full swing data and the shaft line data diagram, to obtain a shaft line processing scheme of a preset position and a shaft line comprehensive processing scheme of the hydroelectric generating set; generating a thrust head snap ring scraping scheme of the hydroelectric generating set and a thrust head snap ring partition scraping amount schematic diagram of the hydroelectric generating set according to the shaft line processing scheme of the preset position and the shaft line comprehensive processing scheme of the hydroelectric generating set; and taking the thrust head snap ring scraping scheme and the thrust head snap ring partition scraping amount schematic diagram as the shaft line processing scheme.

[0098] The shaft line processing scheme of the preset position can be a thrust head snap ring scraping scheme given for a single preset position to meet the shaft line requirement of the position.

[0099] The shaft line comprehensive processing scheme of the hydroelectric generating set can be an optimal thrust head snap ring scraping scheme given by comprehensively considering the shaft line requirements of all preset positions.

[0100] The thrust head snap ring scraping scheme can be a specific value of the thrust head snap ring that needs to be scraped.

[0101] The thrust head snap ring partition scraping amount schematic diagram can be a graphical form of the scraping amount of each region of the thrust head snap ring that needs to be partitioned and scraped.

[0102] The shaft line processing scheme can include the thrust head snap ring scraping scheme and the thrust head snap ring partition scraping amount schematic diagram, thereby providing a reference basis for shaft line adjustment of the hydroelectric generating set.

[0103] Optionally, the terminal performs axis processing prediction calculation according to the equipment parameters (such as the diameter of the thrust head snap ring, the distance between parts, etc.) of the hydroelectric generating set, the net full swing data of each preset part, and the axis data diagram, obtains the axis processing scheme of each preset part alone, that is, the required thrust head snap ring scraping scheme of the part, simultaneously, gives the overall axis processing scheme of the hydroelectric generating set by comprehensively considering the requirements of all preset parts, generates the overall thrust head snap ring scraping scheme of the hydroelectric generating set according to the axis processing scheme of each preset part alone and the overall axis processing scheme, that is, gives the specific value required to be scraped at different positions, generates the schematic diagram of the scraping amount of each zone required for the thrust head snap ring to be scraped in zones according to the thrust head snap ring scraping scheme, as the thrust head snap ring scraping amount in zones schematic diagram of the hydroelectric generating set, takes the thrust head snap ring scraping scheme and the thrust head snap ring scraping amount in zones schematic diagram as the axis processing scheme of the hydroelectric generating set, and performs actual thrust head snap ring scraping adjustment processing according to the axis processing scheme to complete the axis processing of the hydroelectric generating set.

[0104] The technical scheme provided by the embodiment is advantageous in improving the accuracy of determining the axis processing scheme of the hydroelectric generating set by taking the thrust head snap ring scraping scheme and the thrust head snap ring scraping amount in zones schematic diagram as the axis processing scheme according to the axis processing scheme of each preset part and the overall axis processing scheme.

[0105] In one of the embodiments, after taking the thrust head snap ring scraping scheme and the thrust head snap ring scraping amount in zones schematic diagram as the axis processing scheme, the following content is further included: generating the axis state comparison schematic diagram of the hydroelectric generating set after the thrust head snap ring scraping according to the thrust head snap ring scraping scheme and the thrust head snap ring scraping amount in zones schematic diagram; and taking the axis processing scheme and the axis state comparison schematic diagram as the auxiliary information for the thrust head snap ring scraping processing of the hydroelectric generating set.

[0106] The thrust head snap ring can be a component connecting the water turbine and the generator main shaft, and the axis position can be adjusted by scraping.

[0107] The axis state comparison schematic diagram can be a schematic diagram of the axis state of the hydroelectric generating set before and after scraping, and can be used for intuitive comparison of the axis change.

[0108] The auxiliary information can be additional information provided for the reference of the field operators to facilitate the scraping work of the thrust head snap ring.

[0109] Optionally, the terminal generates an axis state comparison schematic diagram of the hydroelectric generating set before and after the thrust head snap ring scraping according to the thrust head snap ring scraping scheme and the thrust head snap ring partition scraping amount schematic diagram, as the axis state comparison schematic diagram; and provides the axis processing scheme and the axis state comparison schematic diagram to the field operator as auxiliary information for the thrust head snap ring scraping processing of the hydroelectric generating set, as reference information for the thrust head snap ring scraping processing.

[0110] The technical scheme provided in this embodiment realizes the adjustment of the axis of the hydroelectric generating set by drawing the axis state comparison schematic diagram and the axis processing scheme as auxiliary reference for the thrust head snap ring scraping work, thereby facilitating the accuracy of the axis processing of the hydroelectric generating set.

[0111] In one of the embodiments, in step S103, the axis data graph of the hydroelectric generating set is generated, specifically including the following contents: generating the axis state schematic diagram and the axis swing azimuth graph of the hydroelectric generating set before the axis processing according to the net swing curve; and taking the axis state schematic diagram and the axis swing azimuth graph as the axis data graph.

[0112] The axis state schematic diagram of the hydroelectric generating set before the axis processing can be a schematic diagram for describing the positional relationship and swing of each feature part (such as a preset part) of the axis of the hydroelectric generating set before the processing.

[0113] The axis swing azimuth graph can be a graph for describing the specific swing value and azimuth of each feature part of the axis of the hydroelectric generating set before the processing, which can clearly indicate the size and position of the swing.

[0114] Optionally, the terminal generates the axis state schematic diagram of the hydroelectric generating set before the axis processing by using the built-in algorithm according to the net swing curve; and automatically generates the axis swing azimuth graph of the hydroelectric generating set before the axis processing according to the net swing curve, for clearly indicating the specific swing value and azimuth of each preset part; and takes the generated axis state schematic diagram and axis swing azimuth graph as the axis data graph.

[0115] The technical scheme provided in this embodiment generates the axis state schematic diagram and the axis swing azimuth graph of the hydroelectric generating set before the axis processing as the axis data graph, which is conducive to obtaining more accurate and various axis data graphs, thereby facilitating the accuracy of the axis processing of the hydroelectric generating set.

[0116] The following describes the method for processing the axis of the hydroelectric generating set based on digitalization and intelligentization provided in the application by taking an application example, which is taken as an example of applying the method to the terminal, and the main steps include:

[0117] Step 1: Install two micrometers in the +X and +Y directions at each characteristic part of the hydro-generator unit, and connect them to the terminal via data cables. These micrometers are used to collect the absolute runout data of each shaft number at each characteristic part during turning, and transmit the data to the terminal.

[0118] Step 2: Perform unit rotation using manual or mechanical methods. Before starting the rotation, calibrate the initial position of the unit corresponding to the X-direction micrometer as "1" and the initial position of the unit corresponding to the +Y-direction micrometer as "3". Rotate the unit at a uniform speed, collecting one data signal every other axis number. The micrometer transmits the collected data signals to the terminal. After receiving the data, the terminal analyzes and processes it, generating net swing curves for +X and +Y respectively. The two are compared and checked against each other to increase fault tolerance. If any abnormality is detected, an alarm will be automatically issued. The first net swing curve (+X direction net swing curve) is shown in Figure 2. The horizontal axis includes coordinates 0, 2, 3, 4, 5, 6, 7, and 8, and the vertical axis includes coordinates 4, 2, 0, -2, -4, -6, -8, -10, and -12. The curves include the curves of the lower guide, the upper flange of the intermediate shaft, the lower flange of the intermediate shaft, and the water guide. The second net swing curve (net swing curve in the +Y direction) is shown in Figure 3. The horizontal axis includes coordinates such as 0, 2, 3, 4, 5, 6, 7 and 8, and the vertical axis includes coordinates such as 10, 8, 6, 4, 2, 0, -2, -4 and -6. The curves include the curve of the lower guide, the curve of the upper flange of 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 data to obtain the net total sway data of each part of the unit, and generates a schematic diagram of the unit's axis status before the axis trimming and an axis sway orientation diagram. The schematic diagram of the axis status before trimming is shown in Figure 4, which includes the unit's axis status, x-axis, and y-axis before trimming. The axis sway orientation diagram before trimming is shown in Figure 5, which includes #1, #2, #3, #4, #5, #6, #7, and #8 (which can represent different directions), as well as the axis sway orientation diagrams corresponding to the upper guide, lower guide, upper flange of the intermediate shaft, lower flange of the intermediate shaft, and water guide.

[0120] Step 4: After outputting the shaft status, the terminal automatically generates a shaft diagnostic report. At this time, the technical engineer can input data parameters such as the thrust head retaining ring diameter and the distance between each feature part and the constraint guide bearing. The system automatically calculates and generates shaft treatment schemes for each feature part and a comprehensive shaft treatment scheme (thrust head retaining ring scraping scheme, automatically generating a partition scraping amount diagram). Finally, it outputs a schematic diagram of the shaft status after treatment. By comparing it with the shaft before treatment, the merits of the shaft treatment scheme 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 shaft status can be corrected accordingly.

[0121] The data input area (data parameter input area) may include the relevant geometric dimensions of the generator set turning gear. These dimensions may include the diameter of the retaining ring, the distance from the bottom of the retaining ring to the center of the lower guide bearing, the distance from the bottom of the retaining ring to the plane of the lower end shaft flange (upper flange of the intermediate shaft), the distance from the bottom of the retaining ring to the plane of the lower intermediate shaft flange, the distance from the bottom of the retaining ring to the center of the water guide bearing, and the diameters of the lower end shaft flange of the generator set and the upper and lower flanges of the intermediate shaft.

[0122] A single feature area treatment scheme may include high point value, calculation reference point (which may include lower guide, upper flange of intermediate shaft, lower flange of intermediate shaft and water guide) and maximum scraping amount of retaining ring.

[0123] The schematic diagram of the scraping amount of the thrust head retaining ring can be referred to in Figure 6. It includes different position points (such as 1, 2, 3, 4, 5, 6, 7 and 8). 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 feature part can include information before scraping: coordinates of each point on the axis of each preset part (upper guide, lower guide, upper flange of intermediate shaft, lower flange of intermediate shaft and water guide) and the angle with the X-axis; information after scraping: axis treatment plan, which can include the amount of circlip scraping, estimated runout of measuring points and standard value of each preset part (upper guide, lower guide, upper flange of intermediate shaft, lower flange of intermediate shaft and water guide).

[0125] Figure 7 shows a comparison of the unit's axis status after the thrust head retainer ring is scraped. It can include the unit's axis status before scraping, the unit's axis status after scraping, and the horizontal and vertical axes.

[0126] Step 5: After confirming that the shaft treatment plan is correct, the thrust head retaining ring can be scraped according to the thrust head retaining ring zoning scraping amount diagram. After the treatment, repeat steps 1 to 4 until the unit shaft is qualified.

[0127] Hydropower turbine generator set: Each turbine and its associated generator on a hydropower station form a power generation unit, which is the main power equipment for producing electricity in a hydropower station. When the water flowing through the turbine passes through the hydropower station, it converts the water energy into mechanical energy to drive the machinery to rotate; the generator then converts the mechanical energy into electrical energy for output.

[0128] Swing: The radial vibration of a certain part of the main shaft of a hydro-generator unit relative to a nearby fixed component, also known as shaft relative vibration.

[0129] Rotary turning: In a hydroelectric generator, the rotor and runner are connected by multiple large shafts. Therefore, the rotor needs to be manually rotated one revolution, usually through a thrust bearing, to determine the deviation between the actual center and the theoretical center of the unit. Adjustments are then made based on the measurement data. If not adjusted, the deviation will be amplified through the extension of the shaft, exceeding the standard and affecting the unit's efficiency. Multiple rotations are usually required to find the optimal center alignment.

[0130] Axis: The axis of the generator set refers to the geometric center line of the rotating shaft of the hydro-generator set.

[0131] Total runout: The difference between the dial gauge readings at two symmetrical measuring points at the same measurement location (e.g., for a total of 8 tiles, from upper guide #1 to upper guide #5) is called the total runout. It is actually the horizontal displacement of the main shaft.

[0132] Net swing: The difference between the dial gauge readings at two locations above and below the same measuring point (e.g., for a total of 8 tiles, upper guide #1 - lower guide #1) is called net swing.

[0133] Net total sway: The difference between the total sway values ​​of two parts above and below the same measuring point (e.g., for a total of 8 tiles, the difference between the total sway of the upper guide of #1-#5 and the total sway of the lower guide of #1-#5) is called the net total sway.

[0134] The technical solution provided in this application example achieves the following: 1. Overcoming the high labor costs of traditional unit axis diagnosis methods. By utilizing micrometers and computers, unit axis diagnosis and processing become more digital and intelligent, maximizing the saving of human resources. 2. Overcoming the issue of the high skill requirements of traditional unit axis length diagnosis methods. This solution relies entirely on computers for the entire process of unit swing data acquisition, calculation, and processing, eliminating the need for centralized training of a large number of technicians and reducing significant time costs. 3. Overcoming the computational problems and calculation errors associated with traditional unit axis processing methods. This solution relies on intelligent computer calculations for data acquisition and calculation, and uses micrometers in both the +X and +Y directions to collect and cross-check data, making data acquisition and calculation more accurate and reliable, and saving significant time costs. 4. Overcoming the computational difficulties of traditional unit axis diagnosis methods for axis processing. This solution uses intelligent computer calculations to obtain the optimal solution for the swivel, which can be verified manually by inputting target values. Swing data at various characteristic points can be quickly obtained, making calculations more convenient and reliable. 5. This technology overcomes the problem of lacking visualization of shaft status in shaft diagnostic technology. It can automatically generate a schematic diagram of the unit's shaft status based on data calculations, visually displaying the shaft condition. Furthermore, it can automatically generate a shaft diagnostic report and a schematic diagram of the shaft status after treatment, allowing for a direct comparison of the shaft status before and after treatment, thus facilitating a clear assessment of the merits of the shaft treatment plan. 6. This technology improves the efficiency and accuracy of determining the shaft treatment plan for hydro-generator units.

[0135] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0136] Based on the same inventive concept, this application also provides a digitally intelligent hydro-generator shaft processing device for implementing the aforementioned digitally intelligent hydro-generator shaft processing method. The solution 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 shaft processing device provided below can be found in the above-described limitations of the digitally intelligent hydro-generator shaft processing method, and will not be repeated here.

[0137] In one embodiment, as shown in FIG8, a digitally intelligent hydro-generator shaft processing device is provided. The digitally intelligent hydro-generator shaft processing device 800 may include:

[0138] The data acquisition module 801 is used to acquire the swing data of a preset part in the hydro-generator unit collected by the micrometer;

[0139] The curve generation module 802 is used to generate a net swing curve for a preset part based on the swing data.

[0140] Data calculation module 803 is used to calculate the net total swing data of a preset location based on the net swing curve, and to generate the axis data diagram of the hydro-generator unit; and

[0141] The generator prediction module 804 is used to predict the axis processing of the hydro-generator unit based on the net full swing data and axis data diagram, and to obtain the axis processing scheme of the hydro-generator unit.

[0142] In one embodiment, micrometers are installed in both the first preset direction and the second preset direction of the preset part; the data acquisition module 801 is also used to receive the first swing data in the first preset direction and the 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 unit is in the turning 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 configured 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 for a preset location; and, if the net swing curve detection result indicates that the target location is reached, use both the first net swing curve and the second net swing curve as the net swing curve for the preset location.

[0144] In one embodiment, the generator prediction module 804 is further used to obtain the diameter of the thrust head retaining ring of the hydro-generator unit and the distance between each preset part and the constraint guide bearing of the hydro-generator unit as equipment parameters of the hydro-generator unit; and to perform axis processing prediction on the hydro-generator unit based on the equipment parameters, net full swing data and axis data diagram to obtain the axis processing scheme of the hydro-generator unit.

[0145] In one embodiment, the generator prediction module 804 is further configured to predict the axis processing of the hydro-generator unit based on equipment parameters, net full swing data, and axis data diagram, to obtain an axis processing scheme for a preset location and a comprehensive axis processing scheme for the hydro-generator unit; based on the axis processing scheme for the preset location and the comprehensive axis processing scheme for the hydro-generator unit, to generate a thrust head retaining ring scraping scheme and a schematic diagram of the thrust head retaining ring zonal scraping amount for the hydro-generator unit; and to use both the thrust head retaining ring scraping scheme and the schematic diagram of the thrust head retaining ring zonal scraping amount as the axis processing scheme.

[0146] In one embodiment, the device 800 further includes: an information generation module, used to generate a comparison diagram of the shaft state of the hydro-generator unit after thrust head circlip scraping based on the thrust head circlip scraping scheme and the thrust head circlip zonal scraping amount diagram; and to use the shaft processing scheme and the shaft state comparison diagram as auxiliary information for thrust head circlip scraping processing of the hydro-generator unit.

[0147] In one embodiment, the data calculation module 803 is further configured to generate a schematic diagram of the axis state of the hydro-generator unit before axis processing and an axis swing orientation diagram based on the net swing curve; and to use both the schematic diagram of the axis state and the axis swing orientation diagram as axis data diagrams.

[0148] The modules in the aforementioned digital and intelligent hydro-generator shaft handling device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the computer device's memory as 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, and its internal structure diagram is shown in Figure 9. The computer device includes a processor, memory, input / output interface, communication interface, display unit, and input device. The processor, memory, and input / output interface are connected via a system bus, and 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 the 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 for exchanging information between the processor and external devices. The communication interface of the computer device is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When the computer-readable instructions are executed by the processor, they implement a digitally intelligent hydro-generator shaft processing method. The display unit of the computer device is used to form a visually visible image and may be a display screen, a projection device, or a virtual reality imaging device. The display screen can be an LCD screen or an e-ink screen. The input device of the computer device can be a touch layer covering the display screen, or buttons, trackballs, or touchpads set on the casing of the computer device, or external keyboards, touchpads, or mice, etc.

[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 present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or may combine certain components, or may have different component arrangements.

[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, which, when executed by the processor, implement the steps of the digital and intelligent hydro-generator shaft processing method provided in any embodiment of this application.

[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 cause the one or more processors to implement the steps of the digital and intelligent hydro-generator shaft processing method provided in any embodiment of this application.

[0153] In one embodiment, a computer program product is provided, including computer-readable instructions that, when executed by a processor, implement the steps of the digitally intelligent hydro-generator shaft processing method provided in any embodiment of this 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, data stored, data displayed, 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 the relevant data must comply with relevant regulations.

[0155] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing related hardware through computer-readable instructions. These computer-readable instructions can be stored in a non-volatile computer-readable storage medium. When executed, these computer-readable instructions can include the processes of the embodiments of the above methods. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can 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 can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0156] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above 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 embodiments described above are merely illustrative of several implementation methods of this application, and 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 those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for shaft processing of a hydro-generator unit based on digital intelligence, comprising: Receive first swing data of a first preset direction of a preset part of the hydro-generator unit, and second swing data of a second preset direction of the preset part, sent by a micrometer; Both the first swing data and the second swing data are used as the swing data of a preset part in the hydro-generator unit; Based on the first swing data, a first net swing curve in the first preset direction is generated; Based on the second swing data, a second net swing curve in the second preset direction is generated; The first net swing curve and the second net swing curve are matched to determine whether they match, and the net swing curve detection result of the preset part is obtained. If the net swing curve detection result indicates a successful match, both the first net swing curve and the second net swing curve are used as the net swing curves for the preset location. If the net swing curve detection result indicates a failed match, the measurement data is rechecked for errors or the measurement is repeated to generate a new net swing curve for matching detection. 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 for different preset locations. Based on the net sway curve, the net total sway data of the preset location is calculated, and the axis data diagram of the hydro-generator unit is generated; the net total sway data is the total degree of sway between all axis numbers in the X and Y directions of the different preset locations; and Based on the net full swing data and the axis data diagram, the axis processing prediction of the hydro-generator unit is performed to obtain the axis processing scheme of the hydro-generator unit.

2. The method according to claim 1, characterized in that, The micrometer is installed in both the first preset direction and the second preset direction of the preset part.

3. The method according to claim 2, characterized in that, Both the first swing data and the second swing data were collected by the micrometer when the hydro-generator unit was in the turning state.

4. The method according to claim 1, characterized in that, The step of predicting the axis treatment of the hydro-generator unit based on the net full swing data and the axis data diagram to obtain the axis treatment scheme of the hydro-generator unit includes: The diameter of the thrust head retaining ring of the hydro-generator unit and the distance between each preset part and the constraint guide bearing of the hydro-generator unit are obtained as equipment parameters of the hydro-generator unit; and Based on the equipment parameters, the net full swing data, and the axis data diagram, the axis processing prediction of the hydro-generator unit is performed to obtain the axis processing scheme of the hydro-generator unit.

5. The method according to claim 4, characterized in that, The step of predicting the axis treatment of the hydro-generator unit based on the equipment parameters, the net full swing data, and the axis data diagram to obtain the axis treatment scheme of the hydro-generator unit includes: Based on the equipment parameters, the net full swing data, and the axis data diagram, the axis processing prediction of the hydro-generator unit is performed to obtain the axis processing scheme for the preset part and the comprehensive axis processing scheme for the hydro-generator unit. Based on the shaft treatment scheme of the preset location and the comprehensive shaft treatment scheme of the hydro-generator unit, a thrust head retaining ring scraping scheme and a schematic diagram of the thrust head retaining ring zonal scraping amount of the hydro-generator unit are generated; and The thrust head retaining ring scraping scheme and the schematic diagram of the thrust head retaining ring partition scraping amount are both used as the axis processing scheme.

6. The method according to claim 5, characterized in that, After incorporating both the thrust head retaining ring scraping scheme and the thrust head retaining ring zonal scraping amount diagram as the axis treatment scheme, the following is also included: Based on the thrust head retaining ring scraping scheme and the thrust head retaining ring zonal scraping amount diagram, a comparative diagram of the shaft state of the hydro-generator unit after thrust head retaining ring scraping is generated; and The diagram comparing the shaft processing scheme and the shaft state serves as auxiliary information for the thrust head retaining ring scraping treatment of the hydro-generator unit.

7. The method according to claim 1, characterized in that, The generation of the axis data diagram of the hydro-generator unit includes: Based on the net swing curve, generate a schematic diagram of the axis state and an axis swing orientation diagram of the hydro-generator unit before axis processing; and Both the schematic diagram of the axis state and the axis swing orientation diagram are used as the axis data diagram.

8. A digitally intelligent shaft handling device for a hydro-generator set, comprising: The data acquisition module is used to receive the first swing data of a first preset direction of a preset part of the hydro-generator unit and the second swing data of the second preset direction of the preset part, which are sent by the micrometer. Both the first swing data and the second swing data are used as the swing data of a preset part in the hydro-generator unit; The curve generation module is used to generate a first net swing curve in the first preset direction based on the first swing data. Based on the second sway data, a second net sway curve in the second preset direction is generated; a matching test is performed on the first net sway curve and the second net sway curve to determine whether the first net sway curve and the second net sway curve match, and the net sway curve detection result of the preset part is obtained; if the net sway curve detection result indicates that the matching is successful, both the first net sway curve and the second net sway curve are used as the net sway curve of the preset part; if the net sway curve detection result indicates that the matching is unsuccessful, the measurement data is rechecked for errors or the measurement is repeated to generate a new net sway curve for matching test; the net sway curve is a curve drawn based on the degree of sway between two adjacent axis numbers in the X and Y directions of different preset parts; The data calculation module is used to calculate the net total sway data of the preset location based on the net sway curve, and to generate the axis data diagram of the hydro-generator unit; the net total sway data is the total degree of sway between all axis numbers in the X and Y directions at different preset locations; and The generator prediction module is used to predict the axis processing of the hydro-generator unit based on the net full swing data and the axis data diagram, and to obtain the axis processing scheme of the hydro-generator unit.

9. The apparatus according to claim 8, characterized in that, The micrometer is installed in both the first preset direction and the second preset direction of the preset part.

10. The apparatus according to claim 9, characterized in that, Both the first swing data and the second swing data were collected by the micrometer when the hydro-generator unit was in the turning state.

11. The apparatus according to claim 8, characterized in that, The generator prediction module is also used to obtain the thrust head retaining ring diameter of the hydro-generator unit and the distance between each preset part and the constraint guide bearing of the hydro-generator unit as equipment parameters of the hydro-generator unit; and to perform axis processing prediction on the hydro-generator unit based on the equipment parameters, the net full swing data and the axis data diagram to obtain the axis processing scheme of the hydro-generator unit.

12. The apparatus according to claim 11, characterized in that, The generator prediction module is further configured to predict the axis processing of the hydro-generator unit based on the equipment parameters, the net full swing data, and the axis data diagram, to obtain the axis processing scheme for the preset location and the comprehensive axis processing scheme for the hydro-generator unit; based on the axis processing scheme for the preset location and the comprehensive axis processing scheme for the hydro-generator unit, to generate the thrust head retaining ring scraping scheme and the thrust head retaining ring partition scraping amount diagram for the hydro-generator unit; and to use both the thrust head retaining ring scraping scheme and the thrust head retaining ring partition scraping amount diagram as the axis processing scheme.

13. The apparatus according to claim 12, characterized in that, Also includes: The information generation module is used to generate a comparison diagram of the shaft state of the hydro-generator unit after the thrust head circlip scraping, based on the thrust head circlip scraping scheme and the thrust head circlip partition scraping amount diagram; and to use the shaft processing scheme and the shaft state comparison diagram as auxiliary information for the thrust head circlip scraping treatment of the hydro-generator unit.

14. The apparatus according to claim 8, characterized in that, The data calculation module is also used to generate a schematic diagram of the axis state and an axis swing orientation diagram of the hydro-generator unit before axis processing based on the net swing curve; and to use both the schematic diagram of the axis state 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, they implement the steps of the method according to any one of claims 1 to 7.

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 perform the steps of the method according to any one of claims 1 to 7.

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