Positioning and drilling method for high-voltage switch circumferential parts

Abstract

The present application relates to the technical field of drilling processing, in particular to a positioning drilling processing method for circumferential parts of high-voltage switches, comprising: determining a target period in the drilling processing process, which represents abnormal deviation of drilling processing parameters; obtaining drilling processing environment stability from abnormal fluctuation of drilling processing vibration data in the target period; obtaining drilling tool wear degree by combining the change trend of the influence degree of the target period on drilling processing accuracy; thus obtaining a key drilling processing process representing wear aggravation; comprehensively analyzing the wear degree of the key drilling processing process and the time interval between each key drilling processing process and the current time to perform positioning drilling processing; the present application determines the replacement time according to the actual wear condition of the drilling tool, avoids early replacement or late replacement, improves the reliability of the drilling tool replacement mode, and further improves the reliability of the positioning drilling processing method for circumferential parts of high-voltage switches.

Description

Technical Field

[0001] This invention relates to the field of drilling technology, and specifically to a method for positioning and drilling circumferential parts for high-voltage switches. Background Technology

[0002] High-voltage switchgear, as a core piece of equipment in power systems, involves several circumferential components, such as insulators, flanges, and moving / stationary contact seats. These circumferential components typically require extremely high machining precision, especially the positioning drilling, as they generally bear important electrical and mechanical functions. Any machining deviation will affect the performance of the high-voltage switchgear.

[0003] As drilling is performed on circumferential parts, the drilling tools will gradually wear down and need to be replaced. Existing drilling tools are typically replaced at fixed intervals, which presents the following problems: if replaced too early, before the drilling tools show significant wear, it results in wasted resources and increased costs; if replaced too late, after the drilling tools have already shown significant wear over a period of time, the drilling quality will be poor for a period before replacement, affecting the performance of circumferential parts, thus impacting the operation of high-voltage switches, and potentially even causing serious safety accidents. Summary of the Invention

[0004] The technical problem that this invention aims to solve is that the existing method of changing drilling tools at fixed time intervals has low reliability, which in turn affects the reliability of the positioning drilling method for circumferential parts used in high-voltage switches.

[0005] The purpose of this invention is to provide a method for drilling positioning holes for circumferential parts used in high-voltage switches. The specific technical solution adopted is as follows:

[0006] This invention provides a method for drilling positioning holes for circumferential parts used in high-voltage switches, comprising:

[0007] Determine the target time period in multiple drilling processes prior to the current moment, where the target time period represents the time period in which abnormal deviations in drilling parameters occur;

[0008] Determine the degree of influence of the target time period on drilling accuracy;

[0009] The drilling environment stability during the target time period is obtained from the abnormal fluctuations in the drilling vibration data during the target time period.

[0010] The changing trend of the influence of each target time period in the drilling process is determined, and the wear degree of the drilling tool in the drilling process is obtained by combining the stability of the drilling environment and the duration of the target time period in each target time period.

[0011] The degree of wear is used to characterize the key drilling process that accelerates wear.

[0012] By comprehensively analyzing the wear degree of each critical drilling process and the time interval between each critical drilling process and the current moment, positioning drilling can be performed.

[0013] In an exemplary embodiment, the process of obtaining the target time period includes:

[0014] Determine whether the deviation of various drilling parameters at each moment in the drilling process meets the preset conditions;

[0015] Determine the target time, which is the time when the number of types of drilling parameters that meet the preset conditions is greater than a preset threshold.

[0016] The target time period will be composed of consecutive target moments in time sequence.

[0017] In one exemplary embodiment, the degree of deviation is the difference between the drilling parameters and the corresponding preset standard values.

[0018] In one exemplary embodiment, the process of obtaining the degree of influence includes:

[0019] The target time period is divided into several related sub-time periods; there are the same type of drilling parameters among the target times in the related sub-time periods, and there are no the same type of drilling parameters among the target times in adjacent related sub-time periods.

[0020] Based on the number of drilling parameters of the same type in the associated sub-period, the overall situation of the deviation degree in the associated sub-period, and the duration of the associated sub-period, the processing anomaly factor of the associated sub-period is obtained; the processing anomaly factor is positively correlated with the number of types, the overall situation, and the duration of the associated sub-period.

[0021] The degree of influence of the target time period is obtained based on the relative change in the number of the types in each associated sub-time period and the processing anomaly factor in each associated sub-time period; the degree of influence is positively correlated with both the relative change and the processing anomaly factor.

[0022] In an exemplary embodiment, the process of dividing the associated sub-time periods includes:

[0023] The start time of the target time period is taken as the start time of the first associated sub-time period in the target time period. Starting from the start time of the target time period, the intersection of drilling parameters is obtained for each target time. When the intersection is an empty set, the target time before the corresponding target time that constitutes the empty set is taken as the end time of the first associated sub-time period. The target time after the end time is taken as the start time of the second associated sub-time period. And so on, traversing all target times in the target time period to obtain each associated sub-time period in the target time period.

[0024] In an exemplary embodiment, the process of obtaining the stability of the drilling environment includes:

[0025] Obtain the maximum points of the drilling vibration data for the target time period;

[0026] Determine the degree of fluctuation in the time interval between adjacent maxima, and the average value of the difference in vibration amplitude between adjacent maxima;

[0027] The stability of the drilling environment is obtained from the average value of the difference between the fluctuation degree and the vibration amplitude; the stability of the drilling environment is inversely correlated with both the fluctuation degree and the average value.

[0028] In one exemplary embodiment, the trend of change is an increasing trend;

[0029] The process of obtaining the degree of wear includes:

[0030] By integrating the drilling environment stability and the duration of each target time period, the correlation between the drilling environment and the wear level in the drilling process is obtained; the correlation is inversely correlated with the drilling environment stability and positively correlated with the target time period duration.

[0031] Based on the correlation degree and the increasing trend, the wear probability of the drilling tool during the drilling process is obtained; the wear probability is positively correlated with both the correlation degree and the increasing trend.

[0032] The wear level is obtained by combining the wear probability and the impact level of each target time period.

[0033] In an exemplary embodiment, the process of obtaining the key drilling process includes:

[0034] The wear degree of each drilling process before the current moment is sorted in chronological order to obtain the wear degree sequence;

[0035] The first-order difference sequence of the wear degree sequence is determined, and the drilling process corresponding to the positive value in the first-order difference sequence is determined as the key drilling process.

[0036] In an exemplary embodiment, the comprehensive analysis of the wear degree of each critical drilling process and the time interval between each critical drilling process and the current moment for positioning drilling includes:

[0037] The wear accumulation factor of the drilling tool is obtained by integrating the wear degree of each key drilling process and the time interval between each key drilling process and the current moment; the wear accumulation factor is positively correlated with the wear degree and inversely correlated with the time interval.

[0038] By combining the maximum positive value in the first-order difference sequence with the wear accumulation factor, the drilling processing status risk index at the current moment is obtained;

[0039] Drilling is positioned based on the risk indicators of drilling processing status.

[0040] In an exemplary embodiment, the positioning of the drilling process based on the drilling processing status risk index includes:

[0041] When the drilling processing status risk index is less than the first risk threshold, output the command that there is no need to replace the drilling tool and the command that there is no need to adjust the drilling processing parameters;

[0042] When the drilling processing status risk index is greater than or equal to the first risk threshold and less than the second risk threshold, an instruction to not change the drilling tool and an instruction to adjust the drilling processing parameters are output; the first risk threshold is less than the second risk threshold.

[0043] When the drilling processing status risk index is greater than or equal to the second risk threshold, output a drill tool replacement command and a stop command.

[0044] This invention offers the following advantages: By focusing on the period during which anomalies occur within a specific timeframe, it avoids data redundancy from continuous monitoring, improves monitoring efficiency, and provides a crucial data foundation for subsequent wear assessment; the degree of impact quantifies the effect of abnormal deviations on machining accuracy, correlating abnormal deviations with machining accuracy to provide an objective impact assessment, making drilling tool condition assessment more targeted; drilling vibration data reflects environmental disturbances during the machining process, and analyzing abnormal fluctuations in vibration data can assess the stability of the drilling environment, introducing environmental factors to differentiate between tool wear and anomalies caused by environmental interference, thus improving the accuracy of wear assessment; and by comprehensively considering the changing trend of the degree of impact, environmental stability, and time period (abnormality...), it effectively addresses these issues. By integrating multi-dimensional data (constant duration), wear assessment becomes more comprehensive and accurate. By identifying key drilling processes and pinpointing those experiencing accelerated wear, more precise data analysis is provided for targeted drilling. Based on the wear level and occurrence time of historical key processes, decisions are made regarding the targeted drilling process. This allows for determining the replacement time of drilling tools based on their actual wear characteristics, rather than a fixed cycle, enabling measured replacement and avoiding premature or delayed replacement. This prevents resource waste and reduced processing quality, improves the reliability of drilling tool replacement methods, and ultimately enhances the reliability of targeted drilling methods for circumferential parts used in high-voltage switches. Attached Figure Description

[0045] Figure 1 This is a flowchart of a positioning drilling method for a circumferential part for a high-voltage switch, provided in one embodiment of the present invention;

[0046] Figure 2 This is a flowchart of the process for obtaining a target time period provided in one embodiment of the present invention;

[0047] Figure 3 This is a flowchart illustrating the process of obtaining the degree of influence according to one embodiment of the present invention;

[0048] Figure 4 This is a flowchart illustrating the process of obtaining the degree of wear according to an embodiment of the present invention;

[0049] Figure 5 This is a flowchart illustrating the implementation of step S6 provided in one embodiment of the present invention. Detailed Implementation

[0050] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the specific implementation methods, structures, features, and effects of the present invention are described in detail below with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0051] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. All data and information collected in this application have been obtained with full consent.

[0052] This embodiment provides a method for positioning and drilling circumferential parts for high-voltage switches. The application scenario is: positioning and drilling circumferential parts for high-voltage switches. In this embodiment, the circumferential parts are of the same model, so the drilling machine uses the same machining program. The same circumferential hole machining process is executed on each batch of circumferential parts. Here, "the same machining program" means that the various drilling parameters set in the program are fixed preset values. The machining program drills holes in each circumferential part according to the preset values ​​corresponding to the various drilling parameters. The complete machining process for each circumferential part includes: positioning → drilling → tool retraction. Drilling is the core of the machining process; this embodiment only analyzes the drilling process.

[0053] The types and number of drilling parameters set in the machining program, as well as the specific selection of each parameter, are determined by the actual drilling needs. Generally, drilling parameters include, but are not limited to, the following: spindle load, feed axis load, cooling pressure, etc. Each drilling parameter has a corresponding fixed preset standard value in the machining program, used to control the drilling machine tool to perform drilling according to each preset standard value. The preset standard values ​​for spindle load and feed axis load can be taken from the process documents and CNC machining program, while the preset standard value for cooling pressure is set in the cooling system control program and calibrated by the pressure regulating valve according to the working conditions.

[0054] To obtain real-time data on various drilling parameters during positioning drilling, the spindle load is typically calculated from the current or power consumption of the spindle motor. Therefore, spindle load data is acquired by directly reading the system's built-in registers. Feed axis load usually refers to the current consumption of the feed motor or the torque output of the servo system. The feed axis load data is acquired by reading the current signal from the feed motor's inverter or motor controller input. A pressure sensor is installed in the cooling system near the spindle nozzle to collect cooling pressure data.

[0055] It should be understood that the sampling frequency of the actual data of various drilling parameters is set according to the actual situation. In this embodiment, the sampling frequency of various drilling parameters is the same and they are sampled synchronously. The specific value of the sampling frequency can be set to 20Hz.

[0056] This embodiment uses the current moment as the analysis object to determine multiple drilling processes prior to the current moment. The number of drilling processes selected is set according to actual needs, or it can be any drilling process after the last drilling tool change. The current moment can be the cutoff time of the latest drilling process, or it can be a moment that is close to and after the cutoff time, such as the moment after the cutoff time. For any drilling process, the parameter values ​​of various drilling parameters in that drilling process are obtained at various moments according to the sampling frequency, and then arranged in chronological order to obtain the parameter sequence of various drilling parameters in that drilling process.

[0057] like Figure 1 As shown in the figure, this embodiment provides a method for drilling positioning holes for circumferential parts used in high-voltage switches, including:

[0058] Step S1: Determine the target time period in the multiple drilling processes prior to the current moment;

[0059] Step S2: Determine the degree of impact of the target time period on drilling accuracy;

[0060] Step S3: Obtain the drilling environment stability during the target time period by analyzing the abnormal fluctuations in the drilling vibration data.

[0061] Step S4: Determine the changing trend of the influence of each target time period in the drilling process, and combine the stability of the drilling environment and the duration of each target time period to obtain the wear degree of the drilling tool during the drilling process.

[0062] Step S5: Obtain the key drilling process that characterizes wear aggravation based on the degree of wear;

[0063] Step S6: Analyze the wear degree of each critical drilling process and the time interval between each critical drilling process and the current moment to perform positioning drilling.

[0064] The following is a detailed explanation of each step.

[0065] Step S1: Determine the target time period in the multiple drilling processes prior to the current moment.

[0066] In positioning drilling, drill bit wear is a significant factor affecting hole accuracy and quality. As machining progresses, drill bit wear gradually increases, leading to a decrease in machining accuracy. This is especially true after machining multiple circumferential parts consecutively, where wear may manifest as increased hole deviation or uneven surface roughness. When the drill bit wears, it alters its cutting geometry, resulting in increased cutting resistance. This, in turn, causes deviations in parameters such as spindle load, feed axis load, and cooling pressure from their corresponding preset standard values. Therefore, it is necessary to first analyze the abnormal deviations in drilling parameters during previous drilling operations to determine the target time period for each drilling operation. The target time period represents the time period during which abnormal deviations in drilling parameters occur.

[0067] To facilitate data processing, this embodiment normalizes various drilling parameters for each drilling process, such as using a maximum / minimum value normalization method. Specifically, for any drilling parameter, the maximum and minimum values ​​of the parameter in each drilling process are obtained, and the maximum / minimum value normalization method is used to normalize the parameter in each drilling process. Simultaneously, the preset standard value of the parameter is also normalized. Through normalization, it is ensured that all drilling parameters and their corresponding preset standard values ​​in each drilling process are dimensionless data. Therefore, the various drilling parameters and their corresponding preset standard values ​​mentioned below are all dimensionless data, and the parameter sequence is a dimensionless parameter sequence.

[0068] For ease of explanation, this embodiment uses any one of the drilling processes as an example. Figure 2 As shown, the process of obtaining the target time period in the drilling process includes the following steps:

[0069] Step S11: Determine whether the deviation of various drilling parameters at each moment in the drilling process meets the preset conditions.

[0070] For any given moment during the drilling process, the deviation of various drilling parameters at that moment is obtained. The deviation is the difference between the parameter value of the drilling parameter and its corresponding preset standard value. In an exemplary embodiment, for any drilling parameter, the absolute value of the difference between the parameter value of that drilling parameter at that moment and its corresponding preset standard value is calculated as the degree of difference.

[0071] The system determines whether the deviation of various drilling parameters at a given moment meets a preset condition. This preset condition is used to determine whether the deviation is significant. If the preset condition is met, the deviation is considered significant; otherwise, the deviation is considered minor. In an exemplary embodiment, the preset condition is that the deviation is greater than or equal to a preset deviation threshold. The preset deviation threshold ranges from 0 to 1, and its specific value is set according to the actual judgment needs. Furthermore, the preset deviation thresholds for different types of drilling parameters can be the same or different, also depending on the actual judgment needs. As an example, the preset deviation threshold for all drilling parameters is set to 0.2.

[0072] Determine whether the deviation of various drilling parameters at a given moment meets the preset conditions, thereby determining the types and number of drilling parameters that meet the preset conditions at that moment.

[0073] Step S12: Determine the target time.

[0074] For any given moment, the more types of drilling parameters that meet the preset conditions, the more types of abnormal drilling parameters exist at that moment, the higher the degree of abnormal deviation of the drilling parameters at that moment, and the more likely that moment belongs to one of the target time periods.

[0075] This embodiment presets a quantity threshold, which is used to compare with the number of drilling parameters that meet the preset conditions at each time point to determine whether the number of drilling parameters that meet the preset conditions at each time point is excessive. The specific value of this quantity threshold can be determined by the total number of drilling parameters determined in this embodiment. For example, the quantity threshold is the result of multiplying the total number of drilling parameters by 0.5 and then rounding down.

[0076] If the number of drilling parameters that meet the preset conditions at a given moment exceeds a preset threshold, then that moment is designated as the target moment. This allows us to obtain various target moments in the drilling process.

[0077] Step S13: The target time period is formed by the consecutive target times in time sequence.

[0078] At least two consecutive target moments in the drilling process are combined to form a target time period, thereby obtaining several target time periods of the drilling process.

[0079] When drilling tools are worn, they usually cause continuous abnormalities during the drilling process, that is, the drilling parameters are usually abnormal. Therefore, isolated target moments in time are likely to be noisy data and should be discarded instead of being used as separate target time periods.

[0080] It should be understood that if there is no target time in the drilling process, or only a target time that is isolated in time sequence, that is, there is no target time period in the drilling process, it indicates that the degree of abnormality of the drilling parameters in the drilling process is low, and no further processing will be performed on the data of the drilling process.

[0081] Step S2: Determine the degree of influence of the target time period on the drilling accuracy.

[0082] Step S1 determines the target time period by the number and types of drilling parameters. However, even with similar numbers and types of drilling parameters, the included parameters may differ significantly. Therefore, it is necessary to analyze the target time period to identify the core abnormal time periods within that period where drilling parameters are relatively similar, thereby determining the degree of influence of the target time period on drilling accuracy. In an exemplary embodiment, such as... Figure 3 As shown, the following is a specific process for obtaining the degree of influence:

[0083] Step S21: Divide the target time period into several related sub-time periods.

[0084] For any given target time period, it is divided into several related sub-time periods. Within each related sub-time period, there are at least one type of drilling parameter shared by all target times. This is defined as a common drilling parameter. Furthermore, there are no common drilling parameters for any of the target times within a given sub-time period. For example, if a related sub-time period includes three target times, and the drilling parameters for each target time are (X1, X3), (X2, X3), and (X1, X2, X3), where X1, X2, and X3 are common drilling parameters, then X1, X2, and X3 are common drilling parameters. There are three different types of drilling parameters. The intersection of the drilling parameters at the three target times of this associated sub-period is not an empty set. All three target times of this associated sub-period contain drilling parameter X3. Moreover, the drilling parameters at the time following the end time of this associated sub-period are (X2, X4). There is no common drilling parameter (i.e., drilling parameter X3) at the time following the end time of this associated sub-period. In other words, the intersection of the drilling parameters at the three target times of this associated sub-period and the intersection of the drilling parameters at the next time are empty sets. Furthermore, there are no drilling parameters of the same type among the target times of this associated sub-period and its adjacent next associated sub-period. For example, the next associated sub-period adjacent to this associated sub-period includes two target times, and the drilling parameters at each target time are (X2, X4) and (X3, X4), respectively. X2, X3, and X4 are three different types of drilling parameters. Therefore, there are a total of 5 target times between this associated sub-time period and its next adjacent associated sub-time period. There are no drilling parameters of the same type among these 5 target times, that is, the intersection of the drilling parameters of these 5 target times is an empty set.

[0085] Based on the above principles for dividing related sub-time periods, a specific division process is given below: The start time of the target time period is taken as the start time of the first related sub-time period in the target time period. Starting from the start time of the target time period, the intersection of the drilling parameters of all target times that have been experienced is obtained for each target time. When the intersection is an empty set, the target time before the corresponding target time that constitutes the empty set is taken as the end time of the first related sub-time period. The next target time after the end time is taken as the start time of the second related sub-time period. And so on, traversing all target times in the target time period to obtain each related sub-time period in the target time period. As an example: Starting from the beginning of the target time period, the set of drilling parameters at the beginning of the target time period is (X1, X3). Determine if the intersection of the drilling parameters at the second target time and the drilling parameters at the beginning of the target time period is an empty set. For example, if the set of drilling parameters at the second target time period is (X2, X3), the intersection of the two sets of drilling parameters is drilling parameter X3. Since the intersection is not an empty set, continue to determine if the intersection of the drilling parameters at the third target time period and the drilling parameters at the first two target times period is an empty set (i.e., determine if the intersection of the drilling parameters at the first three target times period is an empty set). For example, if the set of drilling parameters at the third target time period is (X1, X2, X3), the intersection of the three sets of drilling parameters is the drilling parameter X3. If parameter X3's intersection is not empty, then continue to determine whether the intersection of the drilling parameters at the fourth target time and the drilling parameters at the first three target times is empty (i.e., determine whether the intersection of the drilling parameters at the first four target times is empty). For example, if the set of drilling parameters at the fourth target time is (X2, X4), and the intersection of the drilling parameters at the first four target times is empty, then the third target time is taken as the end time of the first associated sub-period, and the first three target times constitute the first associated sub-period; the fourth target time is taken as the start time of the second associated sub-period, and then determine whether the intersection of the drilling parameters at the fifth target time and the drilling parameters at the fourth target time is empty, and so on, traversing all target times of the target period in order.

[0086] It should be understood that if a target time cannot form a related sub-period with its preceding and following target times, then that isolated target time will not be considered a related sub-period. Furthermore, if a target period cannot be divided into at least one related sub-period, it indicates that the drilling parameters between adjacent target times within that target period are significantly different. Therefore, the impact of that target period on drilling accuracy is low, and its impact on drilling accuracy can be directly set to 0.

[0087] Step S22: Based on the number of drilling parameters of the same type in the associated sub-period, the overall deviation of the associated sub-period, and the duration of the associated sub-period, obtain the processing anomaly factor of the associated sub-period.

[0088] For any associated sub-period within the target time period, the greater the number of the same type of drilling parameters in the associated sub-period, that is, the greater the number of types of drilling parameters included in the intersection of drilling parameters between target times within the associated sub-period, the more similar the drilling parameters between target times within the associated sub-period, the more abnormal the drilling process in the associated sub-period, and the larger the processing anomaly factor in the associated sub-period. The two are positively correlated.

[0089] The average deviation of various drilling parameters at each target time within the correlated sub-period is calculated as the overall deviation of the correlated sub-period. The higher the overall deviation value of the correlated sub-period, the more abnormal the drilling process is, and the larger the processing anomaly factor is; the two are positively correlated.

[0090] The longer the duration of the associated sub-period (i.e. the number of target times contained within the associated sub-period), the more abnormal the drilling process of the associated sub-period, and the larger the processing abnormality factor of the associated sub-period; the two are positively correlated.

[0091] Based on the number of drilling parameters of the same type existing in the associated sub-period, the overall degree of deviation in the associated sub-period, and the duration of the associated sub-period, the processing anomaly factor of the associated sub-period is obtained. Based on the above logical analysis, a specific calculation method for the processing anomaly factor of the associated sub-period is given below:

[0092] ;

[0093] in, This represents the processing anomaly factor of the x-th associated sub-period within the target time period. This represents the number of drilling parameters of the same type that exist in the x-th associated sub-time period, i.e., the number of drilling parameter types included in the intersection of drilling parameters between target times within the x-th associated sub-time period. This represents the number of types of drilling parameters included in the union set of drilling parameters for each target time within the x-th associated sub-period. The crossover ratio (CROR) represents the degree of coverage of the same type of drilling parameters in the x-th associated sub-period. This represents the overall degree of deviation in the x-th correlated sub-period. This represents the duration of the x-th associated sub-period. This indicates the duration of the target time period. This represents the duration percentage of the x-th associated sub-period.

[0094] The higher the coverage of the same type of drilling parameters in the x-th associated sub-period, the higher the overall deviation of the x-th associated sub-period. The longer the duration of the x-th associated sub-period, the more drilling parameters remain consistent across multiple target times within the x-th associated sub-period, and the more significant the deviation of these drilling parameters, the more severe the impact on drilling quality, and the larger the processing anomaly factor. The processing anomaly factor is obtained by averaging the three parameters. Using the above method, the processing anomaly factor for each associated sub-period within the target time period is obtained.

[0095] Step S23: Based on the relative change in the number of types in each associated sub-period and the processing anomaly factor in each associated sub-period, the influence degree of the target period is obtained.

[0096] The relative change in the number of types of each associated sub-time period within the target time period is obtained. This relative change characterizes the degree of change in the number of types of each associated sub-time period relative to adjacent associated sub-time periods. In an exemplary embodiment, taking the x-th associated sub-time period as an example, the number of drilling parameters of the same type in the x-th associated sub-time period and the number of drilling parameters of the same type in the (x-1)-th associated sub-time period (i.e., the preceding associated sub-time period adjacent to the x-th associated sub-time period) are obtained. The relative change in the number of types of each associated sub-time period in the x-th associated sub-time period is obtained as follows: .in, This represents the number of drilling parameters of the same type existing in the (x-1)th associated sub-time period, with Min representing the minimum value function. It should be understood that for the first associated sub-time period in the target time period, its relative change level is directly set to 1; conversely, if there is only one associated sub-time period in the target time period, its relative change level is also set to 1. This yields the relative change level of the number of types in each associated sub-time period within the target time period.

[0097] The higher the relative change in the number of types in each associated sub-period, and the larger the processing anomaly factor in the number of types in each associated sub-period, the more significant the increase in the deviation of the core drilling processing parameters between adjacent associated sub-periods in the target period. This indicates more processing errors occur during drilling in the target period, further exacerbating the impact of the target period on drilling accuracy. The higher the impact of the target period on drilling accuracy, the higher the impact, which is positively correlated with both the relative change and the processing anomaly factor. Therefore, the relative change in the number of types in each associated sub-period can be used as the influence weight of the processing anomaly factor in each associated sub-period; the higher the relative change, the higher the corresponding influence weight. In an exemplary embodiment, the sum of the relative changes in all associated sub-periods in the target period is calculated, and the ratio of the relative change in the x-th associated sub-period to the sum of the relative changes is calculated. The result is used as the influence weight of the processing anomaly factor in the x-th associated sub-period. It should be understood that if there is only one associated sub-period in the target period, the influence weight of the processing anomaly factor in that associated sub-period is directly set to 1.

[0098] Based on the influence weights of the processing anomaly factors in each associated sub-period within the target time period, the processing anomaly factors in each associated sub-period are weighted and summed. The result obtained is the degree of influence of the target time period on the drilling accuracy. The calculation formula is as follows:

[0099] ;

[0100] in, This indicates the degree of influence of the m-th target time period on the drilling accuracy. This represents the influence weight of the processing anomaly factor in the x-th associated sub-period within the m-th target period. This represents the processing anomaly factor of the x-th associated sub-period in the m-th target time period, where X represents the number of associated sub-periods in the m-th target time period.

[0101] Step S3: Obtain the drilling environment stability during the target time period by analyzing the abnormal fluctuations in the drilling vibration data.

[0102] During drilling, the wear of the drilling tool directly affects the machining accuracy, and the stability of the drilling environment is a crucial factor influencing tool wear. If the drilling environment is unstable, the drilling tool may experience greater stress and wear during the drilling process. Therefore, this embodiment needs to determine the stability of the drilling environment at each target time period to obtain the degree of drill tool wear during drilling.

[0103] Vibration data from drilling is a powerful indicator of the drilling environment. This embodiment acquires drilling vibration data for a target time period. In an exemplary embodiment, a vibration sensor, such as a piezoelectric accelerometer, is installed on the outside of the spindle box or the fixture base of the drilling machine tool. The vibration sensor collects the vibration amplitude at various moments during the drilling process according to a preset sampling frequency. The sampling frequency can be the same as the sampling frequency of the various drilling parameters mentioned above, and the sampling is synchronized. The vibration amplitude at each target moment within the target time period is arranged chronologically to obtain the vibration data time sequence for the target time period. To facilitate subsequent data processing, this embodiment normalizes the vibration data using a maximum-minimum-value normalization method. Specifically, the maximum and minimum values ​​of the vibration amplitude at all moments within each target time period in each drilling process are obtained, and then the maximum-minimum-value normalization method is used to normalize the vibration amplitude at each target moment within each target time period. The vibration amplitudes mentioned below are all normalized vibration amplitudes.

[0104] Based on the abnormal fluctuations in drilling vibration data during the target time period, the stability of the drilling environment during the target time period is obtained. The more abnormal the fluctuations in the drilling vibration data, the worse the stability of the drilling environment during the target time period. In an exemplary embodiment, taking the m-th target time period as an example, each maximum point in the drilling vibration data of the m-th target time period is obtained, thereby obtaining the time interval between each two adjacent maximum points. To facilitate subsequent data processing, this embodiment normalizes the time interval using a maximum-minimum value normalization method. Specifically, the maximum and minimum values ​​of the time intervals between all two adjacent maximum points in each target time period during each drilling process are obtained, and then the maximum-minimum value normalization method is used to normalize the time interval between each two adjacent maximum points. The time intervals mentioned below are all normalized time intervals.

[0105] To determine the degree of fluctuation of the time interval between all two adjacent maximum points within the m-th target time period, this embodiment uses the standard deviation to characterize the degree of fluctuation. That is, the standard deviation of the time interval between all two adjacent maximum points within the m-th target time period is calculated. The larger the standard deviation, the more abnormal the fluctuation of the vibration data within the m-th target time period, and the worse the stability of the drilling environment within the m-th target time period. The two are inversely correlated.

[0106] Determine the vibration amplitude difference between any two adjacent maxima within the m-th target time period. Specifically, the vibration amplitude difference is the absolute value of the difference in vibration amplitude. Then, calculate the average of the vibration amplitude differences between all adjacent maxima within the m-th target time period. A larger average vibration amplitude difference indicates more abnormal fluctuations in the vibration data within the m-th target time period, and a poorer stability of the drilling environment during that period; the two are inversely correlated.

[0107] The drilling environment stability for the m-th target time period is obtained by considering the standard deviation of the time interval between all adjacent maximum points within the m-th target time period, and the average value of the vibration amplitude difference between all adjacent maximum points within the m-th target time period. Based on the above logical analysis, a specific calculation method for the drilling environment stability for the m-th target time period is given below:

[0108] ;

[0109] in, This represents the stability of the drilling environment during the m-th target time period. This represents the standard deviation of the time interval between all two adjacent maxima within the m-th target time period. It represents the average value of the difference in vibration amplitude between all two adjacent maximum points within the m-th target time period.

[0110] It should be understood that during normal drilling operations, the drilling vibration data within the target time period will fluctuate to some extent, resulting in a number of maximum values. In extreme cases, if the number of maximum values ​​in the drilling vibration data within a certain target time period is too small (e.g., less than 4), the drilling vibration data within that time period is deemed too abnormal. In such cases, further data processing will cease, and a vibration anomaly alarm signal will be directly output to facilitate timely troubleshooting by staff.

[0111] Step S4: Determine the changing trend of the influence of each target time period in the drilling process, and combine the stability of the drilling environment and the duration of each target time period to obtain the wear degree of the drilling tool during the drilling process.

[0112] Drilling tool wear is a progressive, cumulative process with a unidirectional characteristic (i.e., gradually increasing). Its impact on drilling accuracy typically increases over time. Therefore, the greater the increasing influence at each target time point in the drilling process, the more severe the cumulative wear on the drilling tool, and the greater the wear degree. Thus, the wear degree is positively correlated with the increasing trend of its influence. Therefore, it is necessary to determine the changing trend of the influence at each target time point in the drilling process, specifically, an increasing trend.

[0113] Furthermore, the stability of the drilling environment and the duration of each target time period during the drilling process also affect the wear degree of the drilling tools. Therefore, a comprehensive analysis of the increasing trend of the influence of each target time period during the drilling process, as well as the stability of the drilling environment and the duration of each target time period, is needed to determine the wear degree of the drilling tools during the drilling process. Figure 4As shown, the following is a specific process for obtaining the degree of wear:

[0114] Step S41: Integrate the stability of the drilling environment and the duration of the target time period to obtain the correlation between the drilling environment and the wear degree during the drilling process.

[0115] For any given drilling process, the lower the stability of the drilling environment during each target time period, the stronger the impact of the drilling environment on the degree of wear. The higher the correlation between the drilling environment and the degree of wear, the stronger the correlation is, and the higher the correlation is, and the stronger the correlation is, and the higher the correlation is, and the stronger the correlation is, and the higher the correlation is, and the higher the correlation is, and the higher the correlation is, and the higher the correlation is, and the higher the correlation is, and the higher the correlation is, and the higher the correlation is, and the higher the correlation is, and the higher the correlation is, and the higher the correlation is.

[0116] Based on the stability and duration of the drilling environment during each target time period in the drilling process, the correlation between the drilling environment and the degree of wear is obtained. In an exemplary embodiment, this embodiment calculates the sum of the durations of all target time periods in the drilling process, and then calculates the ratio of the duration of each target time period to the sum of the durations of the target time periods, which is used as the duration weight of each target time period in the drilling process. The volatility of the drilling environment during each target time period is obtained from the stability of the drilling environment. The volatility of the drilling environment is inversely correlated with the stability of the drilling environment; for example, the difference between 1 and the stability of the drilling environment is the volatility of the drilling environment. The duration weight of each target time period is used as the influence weight of the volatility of the drilling environment during each target time period. Then, based on the duration weight of each target time period, the influence weights of the volatility of the drilling environment during each target time period are weighted and summed to obtain the correlation between the drilling environment and the degree of wear in the drilling process. The calculation formula is as follows:

[0117] ;

[0118] Where Q represents the correlation between the drilling environment and the degree of wear during the drilling process. This represents the fluctuation of the drilling environment during the m-th target time period. This represents the duration weight of the m-th target time period.

[0119] Step S42: Based on the correlation and increasing trend, obtain the wear probability of the drilling tool during the drilling process.

[0120] The higher the correlation between the drilling environment and the degree of wear in the drilling process, the higher the likelihood of wear on the drilling tool during the drilling process; the two are positively correlated. The greater the influence of each target time period in the drilling process, the higher the likelihood of wear on the drilling tool during the drilling process; the two are positively correlated.

[0121] In an exemplary embodiment, the influence degree of each target time period in the drilling process is mapped to a two-dimensional coordinate system with time as the horizontal axis and influence degree as the vertical axis. Then, the least squares method is used to perform linear fitting on the influence degree of each target time period to obtain the slope of the fitted line. Since this embodiment needs to focus on analyzing the increasing trend of influence degree, the slope is set to 0 when the slope of the line is less than 0. The angle value of the slope of the line is determined, and the range of the angle value of the slope is 0 to... Calculate the angle value of the slope and The ratio of the angle values ​​is used to normalize the angle values, and the result is used as the increasing trend of the influence in the drilling process.

[0122] The likelihood of drill bit wear during the drilling process is determined by the correlation between the drilling environment and the degree of wear, as well as the increasing trend of the influence during the drilling process. A higher correlation between the drilling environment and the degree of wear, and a stronger increasing trend of the influence during the drilling process, indicates that the vibration data of the drill bit is more unstable and the impact force it experiences is stronger, increasing the likelihood of drill bit wear. In an exemplary embodiment, the increasing trend of the influence during the drilling process is used as the reliability of the correlation between the drilling environment and the degree of wear; the more pronounced the increasing trend, the higher the reliability of the correlation. Therefore, the product of the correlation between the drilling environment and the degree of wear and the increasing trend of the influence during the drilling process is calculated, and the result is used as the likelihood of drill bit wear during the drilling process.

[0123] Step S43: Combine the wear probability and the impact of each target time period to obtain the wear degree.

[0124] The average influence level of each target time period in the drilling process is calculated as the overall influence level of the drilling process. A higher overall influence level corresponds to a higher wear level of the drilling tool during the drilling process; the two are positively correlated. Similarly, a higher probability of drill tool wear during the drilling process also corresponds to a higher degree of drill tool wear. Therefore, the wear level of the drilling tool during the drilling process is obtained by combining the probability of drill tool wear and the overall influence level of the drilling process. In an exemplary embodiment, the average of the probability of drill tool wear and the overall influence level of the drilling process is calculated, and the result is taken as the wear level of the drilling tool during the drilling process.

[0125] Step S5: Obtain the key drilling process that characterizes wear aggravation based on the degree of wear.

[0126] Step S4 obtains the wear degree of the drilling tools in each drilling process before the current time. Based on the wear degree of the drilling tools in each drilling process, some drilling processes that reflect accelerated wear are identified. These drilling processes accurately reflect the risk of the drilling process status and are the focus of subsequent analysis. Therefore, the drilling processes that can characterize accelerated wear are defined as critical drilling processes. In an exemplary embodiment, the wear degree of each drilling process before the current time is sorted chronologically to obtain a wear degree sequence { }.in, This indicates the degree of wear during the first drilling operation prior to the current moment. This indicates the degree of wear during the second drilling process prior to the current moment. This indicates the degree of wear during the third drilling process prior to the current moment. This indicates the wear level of the (N-1)th drilling process prior to the current moment (i.e., the penultimate drilling process in the sequence). This indicates the wear level of the Nth drilling process prior to the current moment (i.e., the last drilling process in the time sequence).

[0127] Then determine the first-order difference sequence of the wear degree sequence { },in, , , If any element in the first-order difference sequence is greater than 0, it indicates that in two adjacent wear levels, the later wear level is greater than the earlier wear level, suggesting an increasing wear trend, i.e., the wear is intensifying. Therefore, the drilling processes corresponding to each positive value in the first-order difference sequence are identified as critical drilling processes. Specifically, the drilling process corresponding to the later wear level among two adjacent positive values ​​is identified as the critical drilling process. This yields several critical drilling processes prior to the current moment. Furthermore, the largest positive value is determined from the first-order difference sequence; the largest positive value represents the maximum wear intensification in the wear level sequence.

[0128] It should be understood that if there is no critical drilling process before the current moment, no further data processing will be performed, and the command to not change the drilling tool and not adjust the drilling parameters will be directly output.

[0129] Step S6: Analyze the wear degree of each critical drilling process and the time interval between each critical drilling process and the current moment to perform positioning drilling.

[0130] When controlling the drilling process following the current moment, it is necessary to comprehensively analyze the wear degree of each critical drilling process before the current moment and the time interval between each critical drilling process and the current moment to determine the drilling status risk index at the current moment. In an exemplary embodiment, such as Figure 5 As shown, the following is a specific implementation process for step S6:

[0131] Step S61: Combine the wear degree of each key drilling process and the time interval between each key drilling process and the current moment to obtain the wear accumulation factor of the drilling tool.

[0132] Based on the wear degree of each critical drilling process, the wear accumulation of the drilling tool at the current moment is obtained. The higher the wear degree of each critical drilling process, the more severe the wear accumulation of the drilling tool at the current moment, that is, the higher the wear accumulation factor of the drilling tool at the current moment, and the two are positively correlated.

[0133] The time interval between each critical drilling process and the current moment is determined. In an exemplary embodiment, the time interval between the end time of each critical drilling process and the current moment is determined as the time interval between each critical drilling process and the current moment, or simply the time interval corresponding to each critical drilling process. The shorter the time interval corresponding to the critical drilling process, that is, the closer the critical drilling process is to the current moment in time, the greater the impact of the wear degree of the critical drilling process on the wear accumulation at the current moment, and the more severe the wear accumulation of the drilling tool at the current moment, that is, the higher the wear accumulation factor of the drilling tool at the current moment. The wear accumulation factor is inversely correlated with the time interval corresponding to each critical drilling process.

[0134] In an exemplary embodiment, the time interval between the start time of the first critical drilling process and the current time is obtained as the overall monitoring time interval for the current time. The time interval corresponding to each critical drilling process is subtracted from the overall monitoring time interval, and the result is taken as the time interval between each critical drilling process and the monitoring start point, simply referred to as the start time interval corresponding to each critical drilling process. Then, the sum of the start time intervals corresponding to each critical drilling process is calculated, and the ratio of the start time interval corresponding to each critical drilling process to this sum is calculated to achieve weight normalization. The result is taken as the importance weight of the wear degree of each critical drilling process.

[0135] Based on the importance weight of the wear degree in each critical drilling process, the wear degree of each critical drilling process is weighted and summed. The result is used as the wear accumulation factor of the drilling tool at the current moment. The calculation formula is as follows:

[0136] ;

[0137] Where H represents the wear accumulation factor of the drilling tool at the current moment. The importance weight represents the wear level during the g-th critical drilling process. G represents the wear level of the g-th critical drilling process, and G represents the number of critical drilling processes before the current moment.

[0138] Step S62: Combine the maximum positive value in the first-order difference sequence with the wear accumulation factor to obtain the drilling processing status risk index at the current moment.

[0139] Since the maximum positive value in the first-order difference sequence represents the maximum wear aggravation in the wear degree sequence, the larger the maximum positive value, the higher the drilling processing status risk index at the current moment, and the two are positively correlated. Similarly, the higher the wear accumulation factor of the drilling tool at the current moment, the higher the drilling processing status risk index at the current moment, and the two are positively correlated. A larger maximum positive value in the first-order difference sequence and a higher wear accumulation factor indicate that the contributions of multiple key drilling processes in history to the wear of the drilling tool are continuously accumulating, leading to further aggravation of the overall wear of the drilling tool. This results in a more severe wear degree of the drilling tool at the current moment, and a higher drilling processing status risk index at the current moment. In an exemplary embodiment, the product of the maximum positive value in the first-order difference sequence and the wear accumulation factor of the drilling tool at the current moment is calculated, and the result is used as the drilling processing status risk index at the current moment.

[0140] Step S63: Position the drilling process based on the drilling processing status risk index.

[0141] Based on the current drilling status risk index, the subsequent drilling process is regulated. A higher drilling status risk index indicates more severe wear on the drilling tool, requiring more stringent control measures to ensure safe drilling. In an exemplary embodiment, two risk thresholds are preset: a first risk threshold and a second risk threshold, with the first threshold being lower than the second. Three intervals are formed based on the first and second risk thresholds. The corresponding control method is determined according to the interval in which the current drilling status risk index falls. The first and second risk thresholds range from 0 to 1, and their specific values ​​are set according to actual judgment needs. For example, if a safer judgment logic is required, the first and second risk thresholds can be set lower. As an example, the first risk threshold is set to 0.2, and the second risk threshold to 0.7.

[0142] When the current drilling status risk index is less than the first risk threshold, it means that the drilling tool is in normal wear and the drilling accuracy is stable within the tolerance range. There is no need to adjust the tool or the drilling parameters (such as feed axis load, spindle load and cooling pressure). In this case, the output command is "No need to replace the drilling tool" and "No need to adjust the drilling parameters".

[0143] When the current drilling status risk index is greater than or equal to the first risk threshold and less than the second risk threshold, the wear of the drilling tool has begun to affect the drilling accuracy (e.g., the hole diameter deviation is close to the upper tolerance limit). It has not yet reached the point of needing to replace the drilling tool, but it is necessary to adjust the drilling parameters to offset the imbalance in drilling force caused by wear and ensure that the subsequent hole position accuracy meets the standards. In this case, an instruction to not replace the drilling tool and an instruction to adjust the drilling parameters are output. It should be understood that after receiving the instruction to adjust the drilling parameters, the operator can determine the specific implementation method for adjusting the drilling parameters based on the actual operating status. As an example, this could include: reducing the feed axis load, appropriately increasing the cooling pressure, etc.

[0144] If the current drilling status risk index is greater than or equal to the second risk threshold, the drilling tool wear has reached the failure critical point. Continuing drilling will cause the hole position to exceed the tolerance. The machine must be stopped immediately to replace the drilling tool to avoid scrapping the subsequent parts. In this case, a drill tool replacement command and a stop command will be output.

[0145] It should be understood that different instructions output in this embodiment can be distinguished by different colored indicator lights, different sound signals, or displayed intuitively on a display screen.

[0146] This embodiment can monitor the drilling status risk indicators in real time, thereby achieving positional drilling. By monitoring the drilling status risk indicators in real time, this embodiment effectively ensures the accuracy and stability of the real-time drilling process. When the drilling tool is in a normal wear state, it can maintain the current drilling parameters and avoid unnecessary adjustments; when wear begins to affect accuracy, the drilling parameters are adjusted in a timely manner to maintain processing quality; and when the drilling tool wear reaches the failure threshold, the machine is stopped and the drilling tool is replaced in time, which not only improves processing efficiency and extends tool life, but also effectively reduces production costs.

[0147] This embodiment also provides a positioning drilling system for circumferential parts used in high-voltage switches, including: a memory and a processor; the memory is connected to the processor, and the memory is used to store program instructions; the processor is used to implement the steps in the above-described embodiment of the positioning drilling method for circumferential parts used in high-voltage switches when the program instructions are executed.

[0148] In one exemplary embodiment, the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in the above-described embodiment of the positioning drilling method for circumferential parts for high-voltage switches.

[0149] It should be noted that the order of the above embodiments of the present invention is merely for descriptive purposes and does not represent the superiority or inferiority of the embodiments. The processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0150] The various embodiments in this specification are described in a progressive manner. The same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on describing the differences from other embodiments.

Claims

1. A method for drilling positioning holes for circumferential parts used in high-voltage switches, characterized in that, include: Determine the target time period in multiple drilling processes prior to the current moment, where the target time period represents the time period in which abnormal deviations in drilling parameters occur; Determine the degree of influence of the target time period on drilling accuracy; The drilling environment stability during the target time period is obtained from the abnormal fluctuations in the drilling vibration data during the target time period. The changing trend of the influence of each target time period in the drilling process is determined, and the wear degree of the drilling tool in the drilling process is obtained by combining the stability of the drilling environment and the duration of the target time period in each target time period. The degree of wear is used to characterize the key drilling process that accelerates wear. The wear degree of each key drilling process and the time interval between each key drilling process and the current moment are comprehensively analyzed to perform positioning drilling. The process of obtaining the target time period includes: determining whether the deviation of various drilling parameters at each moment in the drilling process meets preset conditions; determining the target time, which is the moment when the number of types of drilling parameters that meet the preset conditions is greater than a preset threshold; and constructing the target time period by combining the target times that are consecutive in time. The process of obtaining the degree of influence includes: dividing the target time period into several related sub-time periods; ensuring that there are the same type of drilling processing parameters among the target times in each related sub-time period, and that there are no the same type of drilling processing parameters among the target times in adjacent related sub-time periods; obtaining the processing anomaly factor of the related sub-time period based on the number of the same type of drilling processing parameters in the related sub-time period, the overall situation of the deviation degree of the related sub-time period, and the duration of the related sub-time period; the processing anomaly factor is positively correlated with the number of types, the overall situation, and the duration of the related sub-time period; obtaining the degree of influence of the target time period based on the relative change in the number of types in each related sub-time period and the processing anomaly factor of each related sub-time period; the degree of influence is positively correlated with the relative change and the processing anomaly factor.

2. The positioning drilling method for circumferential parts used in high-voltage switches as described in claim 1, characterized in that, The degree of deviation refers to the difference between the drilling parameters and the corresponding preset standard values.

3. The positioning drilling method for circumferential parts used in high-voltage switches as described in claim 1, characterized in that, The process of dividing the associated sub-time periods includes: The start time of the target time period is taken as the start time of the first associated sub-time period in the target time period. Starting from the start time of the target time period, the intersection of drilling parameters is obtained for each target time. When the intersection is an empty set, the target time before the corresponding target time that constitutes the empty set is taken as the end time of the first associated sub-time period. The target time after the end time is taken as the start time of the second associated sub-time period. And so on, traversing all target times in the target time period to obtain each associated sub-time period in the target time period.

4. The positioning drilling method for circumferential parts used in high-voltage switches as described in claim 1, characterized in that, The process of obtaining the stability of the drilling environment includes: Obtain the maximum points of the drilling vibration data for the target time period; Determine the degree of fluctuation in the time interval between adjacent maxima, and the average value of the difference in vibration amplitude between adjacent maxima; The stability of the drilling environment is obtained from the average value of the difference between the fluctuation degree and the vibration amplitude; the stability of the drilling environment is inversely correlated with both the fluctuation degree and the average value.

5. The positioning drilling method for circumferential parts used in high-voltage switches as described in claim 1, characterized in that, The trend of change is an increasing trend; The process of obtaining the degree of wear includes: By integrating the drilling environment stability and the duration of each target time period, the correlation between the drilling environment and the wear level in the drilling process is obtained; the correlation is inversely correlated with the drilling environment stability and positively correlated with the target time period duration. Based on the correlation degree and the increasing trend, the wear probability of the drilling tool during the drilling process is obtained; the wear probability is positively correlated with both the correlation degree and the increasing trend. The wear level is obtained by combining the wear probability and the impact level of each target time period.

6. The positioning drilling method for circumferential parts used in high-voltage switches as described in claim 1, characterized in that, The process of obtaining the key drilling process includes: The wear degree of each drilling process before the current moment is sorted in chronological order to obtain the wear degree sequence; The first-order difference sequence of the wear degree sequence is determined, and the drilling process corresponding to the positive value in the first-order difference sequence is determined as the key drilling process.

7. The positioning drilling method for circumferential parts used in high-voltage switches as described in claim 6, characterized in that, The comprehensive analysis of the wear degree of each key drilling process and the time interval between each key drilling process and the current moment, in order to perform positioning drilling, includes: The wear accumulation factor of the drilling tool is obtained by integrating the wear degree of each key drilling process and the time interval between each key drilling process and the current moment; the wear accumulation factor is positively correlated with the wear degree and inversely correlated with the time interval. By combining the maximum positive value in the first-order difference sequence with the wear accumulation factor, the drilling processing status risk index at the current moment is obtained; Drilling is positioned based on the risk indicators of drilling processing status.

8. The positioning drilling method for circumferential parts used in high-voltage switches as described in claim 7, characterized in that, The method of positioning drilling based on drilling status risk indicators includes: When the drilling processing status risk index is less than the first risk threshold, output the command that there is no need to replace the drilling tool and the command that there is no need to adjust the drilling processing parameters; When the drilling processing status risk index is greater than or equal to the first risk threshold and less than the second risk threshold, an instruction to not change the drilling tool and an instruction to adjust the drilling processing parameters are output; the first risk threshold is less than the second risk threshold. When the drilling processing status risk index is greater than or equal to the second risk threshold, output a drill tool replacement command and a stop command.

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