Method and system for performance evaluation of a sampling device failure recovery process

Abstract

This invention provides a method and system for evaluating the effectiveness of sampling equipment fault recovery processes, relating to the field of equipment maintenance technology. By collecting the lifting position signal of the sampling steel pipe and the motor operating current signal, a jamming fault is identified when displacement stagnation is detected and the current remains above the normal operating range, generating fault initiation information. Based on this, the backflush cleaning stage and the jogging reset stage are automatically identified by combining the temporal changes of the two types of signals. Furthermore, characteristic parameters such as the current decrease amplitude, displacement recovery amount, current fluctuation frequency, and displacement response frequency are extracted to form a set of stage characteristic parameters. By analyzing the characteristic parameters of each stage, the recovery contribution value is calculated, and a comprehensive effectiveness index and fault recovery effectiveness value are generated. When the effectiveness value is lower than a preset threshold, the backflush cleaning duration, the number of jogging resets, and the jogging interval are adjusted, achieving integrated evaluation and control of the fault recovery process.

Description

Technical Field

[0001] This invention relates to the field of equipment maintenance technology, and in particular to a method and system for evaluating the effectiveness of the fault recovery process of sampling equipment. Background Technology

[0002] Existing fault handling and performance evaluation technologies for slurry pipeline sampling equipment typically rely on simple monitoring of equipment operating status signals (such as motor current and stroke signals). Upon detecting anomalies, recovery is initiated through manual intervention or pre-set logic. For example, a common system detects motor overload or abnormal stroke to determine if the sampling pipe is stuck. The operator then manually short-circuits the control circuit to jog the motor and reset the mechanism. Post-fault analysis of the fault handling time, combined with operational logs, provides a rough assessment of equipment fault recovery efficiency. These methods focus on recording the results of a single fault handling incident and lack a systematic and quantitative evaluation of the continuity of the recovery process and the impact of multiple factors.

[0003] However, in continuous sampling scenarios of mine slurry pipelines, when slurry particles enter the gap and cause jamming due to wear of the bearing sleeve sealing gasket on the sampling steel pipe, the existing assessment method has obvious defects: Since the recovery process relies on manual short-circuit jogging operation, the response time, operation frequency and jogging duration of different operators are different, resulting in large fluctuations in the recovery time of the same type of jamming fault in different shifts (such as from several minutes to more than ten minutes). Moreover, the system only records the "recovery completed" result, and cannot analyze in detail the specific contribution of key steps such as backwashing and jogging to the recovery effect. It is difficult to support the optimization of control strategies or realize automated closed-loop improvement, thus affecting the continuity of sampling and process controllability. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for evaluating the effectiveness of the fault recovery process of sampling equipment, in order to solve the problems mentioned in the background art.

[0005] To solve the above-mentioned technical problems, the technical solution of the present invention is as follows: Firstly, a method for evaluating the effectiveness of a sampling equipment failure recovery process, the method comprising: Collect the sampling steel pipe lifting position signal and motor operating current signal during the operation of the sampling equipment; If the sampling steel pipe lifting position signal stops and the motor running current signal continues to be higher than the upper limit of the preset normal operation range within the preset fault judgment time, a jamming fault is determined to have occurred, and fault initiation information is generated. Based on the fault initiation information, and combined with the timing changes of the sampling steel pipe lifting position signal and the motor operating current signal, the backflushing cleaning stage information and the jog reset stage information are automatically identified. Based on the information from the backwashing stage, the current drop rate, the first displacement recovery delay time, the displacement recovery amount, and the number of current fluctuations are extracted. Based on the information from the jog reset stage, the number of displacement responses, the single displacement increment, and the length of the jamming duration interval are extracted to generate a set of stage characteristic parameters. The recovery contribution value of each stage is calculated based on the set of stage characteristic parameters, and a comprehensive performance index is generated by combining the total fault recovery time; the fault recovery performance value is generated based on the comprehensive performance index. When the fault recovery efficiency value is lower than the preset recovery efficiency threshold, the subsequent fault recovery control parameters are adjusted and the adjusted fault recovery process is executed. The fault recovery control parameters include the backflush cleaning duration, the number of jog resets, and the jog interval time.

[0006] Preferably, the process of automatically identifying backflush cleaning stage information and jog reset stage information includes: Based on the fault initiation information, the timing analysis and processing of the sampling steel pipe lifting position signal and the motor operating current signal are performed to identify the corresponding relationship between the motor operating current signal changing from being higher than the upper limit of the preset normal operating range to being in a monotonically decreasing range within multiple consecutive sampling periods, and the rate of change of the sampling steel pipe lifting position signal increasing from being lower than the preset rate of change threshold to being higher than the preset rate of change threshold and maintaining at least one preset state for at least one preset state duration, thereby generating backflushing cleaning stage initiation characteristic information; Based on the initial characteristic information of the backflushing cleaning stage, the motor operating current signal and the sampling steel pipe lifting position signal are continuously analyzed and processed to identify the corresponding relationship that the value of the motor operating current signal is within the preset current stability range in multiple consecutive sampling periods, and the rate of change of the sampling steel pipe lifting position signal is within the preset stability rate range in multiple consecutive sampling periods. The end characteristic information of the backflushing cleaning stage is generated, and the backflushing cleaning stage information is determined accordingly. Based on the characteristic information of the end of the backflushing cleaning stage, further time sequence analysis and processing are performed on the sampling steel pipe lifting position signal and the motor running current signal. It is identified that the rate of change of the sampling steel pipe lifting position signal in multiple consecutive sampling cycles alternates between being higher than the preset rate of change threshold and lower than the preset rate of change threshold for at least one complete cycle, and the motor running current signal shows at least two corresponding relationships of rising and falling within the corresponding time period, generating the starting characteristic information of the jog reset stage. Based on the initial feature information of the inching reset phase, the corresponding value of the sampling steel pipe lifting position signal reaching the preset initial position is identified, and the motor running current signal is in the preset normal operation range and is maintained for at least one preset state time. The end feature information of the inching reset phase is generated, and the inching reset phase information is determined accordingly.

[0007] Preferably, the process of generating the stage feature parameter set includes: Based on the information from the backflushing and cleaning phase, the motor operating current signal is subjected to time-series analysis and processing to determine the peak value of the motor operating current signal during the backflushing and cleaning phase and the average value of the motor operating current signal within the preset current stability range. Based on the difference between the peak value and the average value, the characteristic parameter of the current drop amplitude is generated. Based on the information from the backflushing cleaning stage, the time series analysis of the sampling steel pipe lifting position signal is performed to determine the time interval between the start of the backflushing cleaning stage and the corresponding moment when the rate of change of the sampling steel pipe lifting position signal changes from below the preset rate of change threshold to above the preset rate of change threshold, and the first displacement recovery delay time characteristic parameter is generated. Based on the information from the backflushing cleaning stage, the sampling steel pipe lifting position signal is processed by interval analysis to determine the difference between the start and end positions of the sampling steel pipe lifting position signal during the backflushing cleaning stage, and to generate displacement recovery characteristic parameters. Based on the backflushing and cleaning stage information, the change process of the motor operating current signal within the preset statistical time window is identified. The complete change process of the motor operating current signal from rising state to falling state and then rising again is identified, and the complete change process is counted to generate current fluctuation number characteristic parameters. Based on the information from the inching reset phase, the timing analysis of the sampling steel pipe lifting position signal is performed to identify the transition process where the rate of change changes from below the preset rate of change threshold to above the preset rate of change threshold. The transition process is then counted to generate displacement response frequency characteristic parameters. Based on the information from the jog reset phase, the difference between the changes in the sampling steel pipe lifting and lowering position signals corresponding to two adjacent displacement responses is calculated to generate single displacement increment characteristic parameters. Based on the information from the jog reset phase, the sampling steel pipe lifting position signal is analyzed and processed continuously in intervals to identify the time interval in which the rate of change is lower than the preset rate of change threshold and continues to be maintained for at least one preset state time, and to generate a characteristic parameter of the length of the jamming interval. A set of stage characteristic parameters is generated based on the characteristic parameters of current drop magnitude, first displacement recovery delay time, displacement recovery amount, number of current fluctuations, number of displacement responses, single displacement increment, and length of the jamming duration interval.

[0008] Preferably, the process of generating comprehensive performance indicators includes: Based on the set of stage characteristic parameters, the characteristic parameters of current drop amplitude, displacement recovery amount, first displacement recovery delay time, and current fluctuation number in the backflushing cleaning stage are normalized to generate characteristic evaluation parameters for the backflushing cleaning stage. Based on the characteristic evaluation parameters of the backflushing cleaning stage, the magnitude of the current drop amplitude characteristic parameter, the proportion of the displacement recovery amount characteristic parameter in the overall displacement recovery amount, the length of the first displacement recovery delay time characteristic parameter, and the number of current fluctuations characteristic parameters are combined and analyzed to generate the backflushing cleaning stage blockage recovery contribution value. Based on the set of stage characteristic parameters, the characteristic parameters of displacement response times, single displacement increment, and jamming duration interval length in the jogging reset stage are normalized to generate characteristic evaluation parameters for the jogging reset stage. Based on the characteristic evaluation parameters of the jog reset stage, the combination relationship between the characteristic parameters of the displacement response number and the characteristic parameters of the single displacement increment, as well as the characteristic parameters of the length of the jamming duration interval, are analyzed and processed to generate the driving recovery contribution value of the jog reset stage. The time utilization parameters for each stage are generated by calculating the proportion of the duration of the backflushing and cleaning phase and the duration of the jogging and resetting phase in the total fault recovery time. A comprehensive performance index is generated based on the contribution value of the backflushing and clearing phase for unblocking and recovery, the contribution value of the jogging and resetting phase for driving and recovery, and the time utilization parameters of each phase.

[0009] Preferably, the process of generating the initial feature information of the backflush cleaning stage includes: Based on the fault initiation information, the motor operating current signal after the fault initiation time is subjected to time sequence analysis and processing. The sampled value sequence within multiple consecutive sampling periods is extracted, and the interval in the sampled value sequence where at least three consecutive sampled values ​​decrease successively is identified to generate monotonically decreasing interval information. Based on the fault initiation information, the sampling steel pipe lifting position signal after the fault initiation time is subjected to time sequence analysis and processing. The change rate corresponding to each sampling period is calculated, and the change rate is identified from the change rate being lower than the preset change rate threshold to the change rate being higher than the preset change rate threshold and remaining higher than the threshold for at least two consecutive sampling periods. Change rate increase interval information is generated. Based on the information of the monotonically decreasing interval and the information of the rate of change increasing interval, time-series overlap analysis is performed to identify the intervals where the overlap length of the two on the time axis is greater than the preset overlap time threshold, and the corresponding relationship information of the start of the backflush cleaning stage is generated. Based on the corresponding information at the start of the backflushing and cleaning stage, generate the characteristic information at the start of the backflushing and cleaning stage.

[0010] Preferably, the process of generating the initial feature information of the jog reset stage includes: Based on the characteristic information of the end of the backflushing cleaning stage, the time sequence analysis and processing of the sampling steel pipe lifting position signal after the end of the backflushing cleaning stage is performed to calculate the corresponding change rate within multiple consecutive sampling periods, and to identify the change interval where the change rate changes from below the preset change rate threshold to above the preset change rate threshold and then back to below the preset change rate threshold, thereby generating change rate alternation interval information. Based on the characteristic information of the end of the backflushing cleaning stage, the time sequence analysis of the motor operating current signal after the end of the backflushing cleaning stage is performed to identify the change process of the motor operating current signal between consecutive sampling points, from the sampling value increasing one after another to the sampling value decreasing one after another and then changing back to the sampling value increasing one after another. The intervals in which the number of occurrences of the change process is greater than or equal to the preset number threshold are counted to generate the motor operating current signal conversion interval information. Based on the alternating interval information of the rate of change and the conversion interval information of the motor operating current signal, time-series correlation processing is performed to identify the interval where the overlap length of the two on the time axis is greater than the preset matching time threshold, and generate the starting correspondence information of the inching reset stage. Based on the correspondence information at the beginning of the inching reset phase, the starting feature information of the inching reset phase is generated.

[0011] Preferably, the process of generating the characteristic parameter of the number of current fluctuations includes: Based on the backflushing and cleaning stage information, the motor operating current signal during the backflushing and cleaning stage is processed by time sequence division, and multiple consecutive preset statistical time windows are divided according to time sequence to generate time window sequence information. Based on the time window sequence information, the trend analysis of the motor operating current signal within each preset statistical time window is performed to identify the process of the motor operating current signal changing from a successive increase in the sampled value to a successive decrease in the sampled value and then back to a successive increase in the sampled value between consecutive sampling points, thereby generating single current fluctuation identification information. Based on the single current fluctuation identification information, the changes identified within each preset statistical time window are counted to generate current fluctuation number information corresponding to each preset statistical time window. The current fluctuation frequency information corresponding to each preset statistical time window is accumulated to generate current fluctuation frequency characteristic parameters.

[0012] Secondly, a performance evaluation system for the fault recovery process of a sampling device, the system comprising: The data acquisition module is used to collect the lifting position signal of the sampling steel pipe and the motor operating current signal during the operation of the sampling equipment; The fault determination module is used to determine that a jamming fault has occurred if the sampling steel pipe lifting position signal stops and the motor running current signal continues to be higher than the upper limit of the preset normal operation range within a preset fault determination time, and to generate fault initiation information. The phase identification module is used to continuously collect the sampling steel pipe lifting position signal and motor operating current signal during the fault recovery process based on the fault initiation information, and automatically identify the backflushing cleaning phase information and the jog reset phase information based on the time sequence changes of the two. The feature extraction module is used to extract the current drop amplitude, first displacement recovery delay time, displacement recovery amount and current fluctuation number based on the backflushing and cleaning stage information, and to extract the displacement response number, single displacement increment and jamming duration interval length based on the jogging reset stage information, generating a set of stage feature parameters. The performance calculation module is used to calculate the recovery contribution value of each stage based on the set of stage characteristic parameters, and generate a comprehensive performance index in combination with the total fault recovery time; and generate a fault recovery performance value based on the comprehensive performance index. The control and execution module is used to adjust the subsequent fault recovery control parameters and execute the adjusted fault recovery process when the fault recovery efficiency value is lower than the preset recovery efficiency threshold. The fault recovery control parameters include the backflush cleaning duration, the number of jog resets, and the jog interval time.

[0013] The above-described solution of the present invention has at least the following beneficial effects: First, by jointly acquiring the sampling steel pipe lifting position signal and the motor operating current signal, and determining the jamming fault when the displacement stops and the current continues to be higher than the normal operating range, the fault identification is based on quantifiable operating parameters, avoiding reliance on manual experience or single signal judgment, thereby improving the consistency and accuracy of fault judgment.

[0014] Furthermore, by performing time-series analysis on current and position signals based on fault initiation information, the backflush cleaning stage and jog reset stage are automatically identified, transforming the fault recovery process from the original result recording method to a process segmentation identification method. This allows for a clear division of key stages in the recovery process and enhances the ability to express the continuity of the recovery process.

[0015] Based on this, by extracting multi-dimensional feature parameters such as the current drop amplitude, the first displacement recovery delay time, the displacement recovery amount, the number of current fluctuations and displacement response times, the single displacement increment and the length of the jamming duration interval, the recovery process is expanded from a single time index to a comprehensive description of multiple parameters. This allows it to reflect information on load changes, motion response and resistance changes, thereby improving the completeness of the evaluation results.

[0016] Furthermore, by analyzing the characteristic parameters of each stage and calculating the recovery contribution value, and combining the duration of each stage to generate a comprehensive performance index, different recovery processes can be compared under a unified standard. This makes up for the shortcomings of existing methods that only count the recovery completion time and cannot analyze the role of each step, and enhances the ability to explain the differences in recovery effects.

[0017] Based on the above, by generating fault recovery efficiency values ​​according to comprehensive efficiency indicators, and adjusting the backflush cleaning duration, jog reset times, and jog interval time when the efficiency value is lower than the preset threshold, the evaluation results can be directly applied to the recovery control process, forming a closed-loop mechanism that combines evaluation and control. This reduces the uncertainty caused by differences in manual operation and improves the consistency and controllability of the recovery process. Attached Figure Description

[0018] Figure 1 This is a flowchart of an effectiveness evaluation method for the fault recovery process of a sampling device provided by an embodiment of the present invention. Detailed Implementation

[0019] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0020] like Figure 1 As shown, an embodiment of the present invention proposes a method for evaluating the effectiveness of a sampling equipment fault recovery process, the method comprising: Collect the sampling steel pipe lifting position signal and motor operating current signal during the operation of the sampling equipment; If the sampling steel pipe lifting position signal stops and the motor running current signal continues to be higher than the upper limit of the preset normal operation range within the preset fault judgment time, a jamming fault is determined to have occurred, and fault initiation information is generated. Based on the fault initiation information, and combined with the timing changes of the sampling steel pipe lifting position signal and the motor operating current signal, the backflushing cleaning stage information and the jog reset stage information are automatically identified. Based on the information from the backwashing stage, the current drop rate, the first displacement recovery delay time, the displacement recovery amount, and the number of current fluctuations are extracted. Based on the information from the jog reset stage, the number of displacement responses, the single displacement increment, and the length of the jamming duration interval are extracted to generate a set of stage characteristic parameters. The recovery contribution value of each stage is calculated based on the set of stage characteristic parameters, and a comprehensive performance index is generated by combining the total fault recovery time; the fault recovery performance value is generated based on the comprehensive performance index. When the fault recovery efficiency value is lower than the preset recovery efficiency threshold, the subsequent fault recovery control parameters are adjusted and the adjusted fault recovery process is executed. The fault recovery control parameters include the backflush cleaning duration, the number of jog resets, and the jog interval time.

[0021] In this embodiment of the invention, by synchronously acquiring the sampling steel pipe lifting position signal and the motor operating current signal, and determining the jamming fault when the two types of signals show stagnation and overload characteristics, a clear fault initiation information is formed. This process enables fault identification to be based on measurable physical quantities, avoids the reliance on manual experience judgment, and improves the consistency and repeatability of fault judgment.

[0022] By performing time-series correlation analysis on the motor operating current signal and the sampling steel pipe lifting position signal based on the fault initiation information, a correspondence can be established between the gradual decrease of current and the recovery of displacement change. This allows for the automatic identification of the backflush cleaning stage and the jog reset stage, transforming the fault recovery process from discrete judgment to continuous process identification. This ensures that each stage has a clear time boundary, which is beneficial for subsequent analysis and control.

[0023] Based on the stage identification, further multi-dimensional feature parameters such as the current drop amplitude, the first displacement recovery delay time, the displacement recovery amount, the number of current fluctuations and displacement response times, the single displacement increment and the length of the jamming duration interval are extracted. This expands the fault recovery process from a single time index to a multi-parameter description. These parameters can reflect load changes, motion response and resistance changes, thus providing a more complete data foundation for evaluating the recovery process.

[0024] By combining and analyzing the characteristic parameters of each stage to generate a recovery contribution value, and combining the duration of each stage to form a comprehensive performance index, different recovery processes can be compared on a unified scale. This avoids the information loss problem caused by judging solely based on the total recovery time, thereby achieving a quantitative expression of the recovery process structure.

[0025] After obtaining the fault recovery efficiency value, the subsequent recovery control parameters are adjusted according to the preset recovery efficiency threshold, so that the backflushing cleaning duration, the number of jog resets and the jog interval can be dynamically corrected according to the actual recovery effect, thereby forming a closed-loop process that combines evaluation and control, so that the recovery operation is consistent with the actual working conditions.

[0026] The following explanation is based on specific scenarios: During slurry pipeline sampling, when the sampling steel pipe becomes stuck due to particle accumulation, the motor operating current signal increases for a short period of time while the position signal remains unchanged. After determining the fault initiation information using the above method, the current gradually decreases and the displacement begins to recover with the action of backflushing airflow, thus identifying the backflushing cleaning stage. When entering the jogging reset stage, the displacement changes intermittently and the current undergoes multiple transitions. By extracting the characteristic parameters of each stage and generating efficiency values, it is determined whether the current recovery process meets the preset requirements, and the backflushing time or jogging frequency is adjusted to restore the sampling steel pipe to its initial position and maintain a stable operating state.

[0027] In a preferred embodiment of the present invention, a jamming fault is determined to have occurred based on the stagnation of the sampling steel pipe lifting position signal and the motor operating current signal continuously exceeding the upper limit of the preset normal operating range within a preset fault determination time, and fault initiation information is generated, including: The sampling steel pipe is continuously monitored to obtain the position signal change within multiple consecutive sampling periods. When the position change within multiple consecutive sampling periods is less than the preset displacement change threshold, the sampling steel pipe is determined to be in a stationary state. The motor operating current signal is monitored synchronously to obtain the current signal value within multiple consecutive sampling periods, and it is determined that the current signal is higher than the upper limit of the preset normal operation range within the preset fault judgment time range. When the displacement stagnation state and the current continuously exceeding the upper limit value are simultaneously satisfied in time, the corresponding moment is determined as the moment when the jamming fault occurs, and this moment is marked as the fault start information.

[0028] In a preferred embodiment of the present invention, generating a fault recovery performance value based on a comprehensive performance index includes: The evaluation results of each stage in the comprehensive performance index are obtained. The contribution value of the backflushing and cleaning stage to clear blockage and restore the value of the driving and restoring stage, the contribution value of the jogging and resetting stage to drive and restore the time utilization of each stage are uniformly scaled and converted so that different types of parameters are converted into values ​​within the same evaluation range. Based on the degree of influence of each evaluation parameter in the overall recovery process, preset weights are assigned to each parameter, and the weighted average is performed on each parameter to obtain a comprehensive evaluation result. Based on the numerical value of the comprehensive evaluation results, it is mapped to the corresponding fault recovery efficiency value to represent the overall performance of the current fault recovery process.

[0029] In a preferred embodiment of the present invention, when the fault recovery efficiency value is lower than a preset recovery efficiency threshold, the subsequent fault recovery control parameters are adjusted and the adjusted fault recovery process is executed, including: The generated fault recovery efficiency value is compared with the preset recovery efficiency threshold. When the fault recovery efficiency value is lower than the threshold, it is determined that the current recovery process has not achieved the expected results. Based on the degree to which the performance value deviates from the threshold, the backflush cleaning duration, the number of jog resets, and the jog interval are adjusted. The greater the deviation of the performance value, the greater the backflush cleaning duration and the number of jog resets are, and the shorter the jog interval is. The backflush cleaning and jog reset processes are re-executed based on the adjusted control parameters until the fault recovery efficiency value meets the preset recovery efficiency threshold requirement.

[0030] In a preferred embodiment of the present invention, the method for setting the preset fault determination time includes: Under normal operating conditions, the motor operating current signal is continuously sampled, and the maximum duration during which the current signal continuously exceeds the upper limit of the normal operating range under short-term fluctuations is counted, and this maximum duration is used as a reference value. Based on this, the reference value is appropriately extended according to the actual working conditions to obtain the preset fault judgment time for judging jamming faults, thereby ensuring that short-term load fluctuations will not be misjudged as jamming faults.

[0031] In a preferred embodiment of the present invention, the method for setting a preset normal operating range includes: Under fault-free conditions, the motor operating current signal is collected over a long period of time to obtain the range of change of the current signal. Statistical analysis is performed on the collected data to determine the maximum and minimum values ​​of the current signal during the stable operation phase, and a preset margin is added to this range to form a preset normal operation range; The upper limit of this range is used to determine abnormal load conditions, while the lower limit is used to assist in judging operational stability.

[0032] In a preferred embodiment of the present invention, the method for setting a preset recovery performance threshold includes: During multiple historical fault recovery processes, the corresponding comprehensive performance indicators and their corresponding recovery results are obtained, and the performance values ​​that meet the stable operation requirements during the recovery process are used as reference samples. Statistical processing was performed on the reference sample, and the lower efficiency value that still met the recovery requirements was selected as the baseline value. By making appropriate adjustments based on the benchmark value, a preset recovery efficiency threshold is obtained to ensure that the recovery process can meet the requirements for stable operation while also having a certain range of adaptability.

[0033] In a preferred embodiment of the present invention, the process of automatically identifying backflush cleaning stage information and jog reset stage information includes: Based on the fault initiation information, the timing analysis and processing of the sampling steel pipe lifting position signal and the motor operating current signal are performed to identify the corresponding relationship between the motor operating current signal changing from being higher than the upper limit of the preset normal operating range to being in a monotonically decreasing range within multiple consecutive sampling periods, and the rate of change of the sampling steel pipe lifting position signal increasing from being lower than the preset rate of change threshold to being higher than the preset rate of change threshold and maintaining at least one preset state for at least one preset state duration, thereby generating backflushing cleaning stage initiation characteristic information; Based on the initial characteristic information of the backflushing cleaning stage, the motor operating current signal and the sampling steel pipe lifting position signal are continuously analyzed and processed to identify the corresponding relationship that the value of the motor operating current signal is within the preset current stability range in multiple consecutive sampling periods, and the rate of change of the sampling steel pipe lifting position signal is within the preset stability rate range in multiple consecutive sampling periods. The end characteristic information of the backflushing cleaning stage is generated, and the backflushing cleaning stage information is determined accordingly. Based on the characteristic information of the end of the backflushing cleaning stage, further time sequence analysis and processing are performed on the sampling steel pipe lifting position signal and the motor running current signal. It is identified that the rate of change of the sampling steel pipe lifting position signal in multiple consecutive sampling cycles alternates between being higher than the preset rate of change threshold and lower than the preset rate of change threshold for at least one complete cycle, and the motor running current signal shows at least two corresponding relationships of rising and falling within the corresponding time period, generating the starting characteristic information of the jog reset stage. Based on the initial feature information of the inching reset phase, the corresponding value of the sampling steel pipe lifting position signal reaching the preset initial position is identified, and the motor running current signal is in the preset normal operation range and is maintained for at least one preset state time. The end feature information of the inching reset phase is generated, and the inching reset phase information is determined accordingly.

[0034] In this embodiment of the invention, by performing time-series analysis on the sampling steel pipe lifting position signal and the motor operating current signal based on the fault initiation information, and establishing a correspondence between current changes and displacement changes, the identification of the backflushing cleaning stage and the jogging reset stage no longer relies on a single signal or fixed time division, but is based on a dynamic process judgment of multi-signal coupling. This method can form a synchronous constraint between the gradual decrease of current and the recovery of displacement changes, so that the start and end of the stage have clear judgment criteria, thereby avoiding misjudgments caused by signal fluctuations or instantaneous anomalies.

[0035] By introducing multiple consecutive sampling periods and a rate-of-change threshold constraint, the stage identification is made temporally continuous, which helps to eliminate the influence of short-term disturbances on the identification results and improves the stability of stage division. At the same time, by jointly identifying the alternating changes in displacement rate and current conversion behavior in the jogging reset stage, the intermittent motion process can be accurately distinguished, thereby ensuring that the behavioral characteristics of different recovery stages can be effectively extracted.

[0036] Overall, this method realizes the transformation from "outcome judgment" to "process identification", enabling the key stages in the fault recovery process to be automatically divided, providing clear time boundaries and data foundation for subsequent feature extraction and performance evaluation.

[0037] In a preferred embodiment of the present invention, based on the initiation characteristic information of the backflushing cleaning stage, the motor operating current signal and the sampling steel pipe lifting position signal are continuously analyzed and processed to identify the corresponding relationship that the value of the motor operating current signal is within a preset current stability range in multiple consecutive sampling periods, and the rate of change of the sampling steel pipe lifting position signal is within a preset stability rate range in multiple consecutive sampling periods. This generates the end characteristic information of the backflushing cleaning stage, and based on this, the backflushing cleaning stage information is determined, including: After the start of the backflushing and cleaning phase, the motor operating current signal is continuously monitored to obtain the current value within multiple consecutive sampling periods, and it is determined whether the current value always falls within the preset current stability range. Simultaneously, the sampling steel pipe lifting position signal is analyzed synchronously to calculate the rate of change within multiple consecutive sampling cycles and determine whether the rate of change is always within the preset stable rate range. When the current signal and the displacement change rate simultaneously meet the above conditions within the same time interval, the backflush cleaning stage end characteristic information is generated, and the start time of this time interval is taken as the end time of the backflush cleaning stage, thereby determining the backflush cleaning stage information.

[0038] In a preferred embodiment of the present invention, based on the inching reset phase start feature information, the corresponding relationship is identified where the sampling steel pipe lifting position signal reaches a preset initial position, and the motor operating current signal is within a preset normal operating range and remains in a preset state for at least one preset time. Inching reset phase end feature information is then generated, and inching reset phase information is determined accordingly, including: After the initial characteristic information of the inching reset phase is displayed at the corresponding time, the sampling steel pipe lifting position signal is continuously monitored to determine whether its position has reached the value corresponding to the preset initial position. At the same time, the motor operating current signal is continuously analyzed to determine whether the current signal enters the preset normal operation range and maintains the state for at least one preset time within the range. When the sampling steel pipe lifting position signal reaches the position signal value corresponding to the preset initial position, and the motor running current signal continues to be in the preset normal operation range and reaches the preset state holding time after that moment, the end feature information of the inching reset stage is generated, and the corresponding moment is taken as the end moment of the inching reset stage, thereby determining the inching reset stage information.

[0039] In a preferred embodiment of the present invention, the method for setting a preset rate of change threshold includes: Under normal operating conditions, the position signal of the sampling steel pipe is continuously sampled, and the position change and corresponding time interval between adjacent sampling times are calculated to obtain the change rate sequence. Perform statistical analysis on the rate of change sequence to obtain the normal fluctuation range of the rate of change; Based on the fluctuation range, the upper limit is selected as a reference, and then appropriately relaxed in combination with the changes of the equipment under slight disturbances to obtain a preset change rate threshold, which is used to distinguish between stagnant state and effective motion state.

[0040] In a preferred embodiment of the present invention, the method for setting a preset current stability range includes: After the equipment completes a full fault recovery and enters a stable operating state, the motor operating current signal is continuously sampled to obtain current data within multiple sampling cycles. Statistical processing is performed on the current data to determine the concentrated distribution range of the current values ​​and to remove abnormal fluctuation data. Based on the centralized distribution range, a certain allowable deviation is set according to the changes in equipment operating load to form a preset current stability range, which is used to characterize the stable load state at the end of the backflushing and cleaning stage.

[0041] In a preferred embodiment of the present invention, the method for setting the preset state holding time includes: During normal operation and fault recovery of the equipment, the lifting position signal of the sampling steel pipe and the motor operating current signal are continuously sampled to obtain the duration data of the signal in a stable state. Statistical analysis of the duration data is performed to determine the minimum duration range for which the signal remains stable under conditions of no interference or slight disturbance. Based on the minimum duration range, and taking into account the device sampling period and signal response delay characteristics, the time length is appropriately extended to obtain the preset state holding time; The preset state holding time is used to constrain the signal state to remain consistent within a continuous time range, thereby eliminating the influence of instantaneous fluctuations or noise on the judgment result. In practical applications, when the signal state meets the corresponding conditions for a continuous period of time and the duration reaches the preset state holding time, the state is determined to be a valid stable state and is used for the identification of stage start or end feature information. In a preferred embodiment of the present invention, the method for setting a preset stable rate range includes: During the normal lifting and lowering operation of the equipment, the lifting and lowering position signal of the sampling steel pipe is continuously sampled, the corresponding rate of change is calculated, and the data set of the rate of change during the stable operation phase is obtained. Perform statistical analysis on the rate of change data to determine the concentrated distribution interval of the rate of change; Based on this range, and taking into account the inertia of the equipment and minor disturbances, an appropriate extension is made to form a preset stable rate range, which is used to characterize the range of change when the motion state tends to stabilize.

[0042] In a preferred embodiment of the present invention, the method for setting the preset initial position includes: Perform a complete lifting and reset process when the equipment is fault-free, record the lifting and lowering position signal of the sampled steel pipe, and determine the value corresponding to when the steel pipe returns to the initial standby state; During repeated resets, the value is sampled and statistically analyzed to obtain its stable range. A representative value is selected within a stable range as the value corresponding to the preset initial position, and an allowable deviation range is set to determine whether the jog reset phase is completed.

[0043] In a preferred embodiment of the present invention, the process of generating a set of stage feature parameters includes: Based on the information from the backflushing and cleaning phase, the motor operating current signal is subjected to time-series analysis and processing to determine the peak value of the motor operating current signal during the backflushing and cleaning phase and the average value of the motor operating current signal within the preset current stability range. Based on the difference between the peak value and the average value, the characteristic parameter of the current drop amplitude is generated. Based on the information from the backflushing cleaning stage, the time series analysis of the sampling steel pipe lifting position signal is performed to determine the time interval between the start of the backflushing cleaning stage and the corresponding moment when the rate of change of the sampling steel pipe lifting position signal changes from below the preset rate of change threshold to above the preset rate of change threshold, and the first displacement recovery delay time characteristic parameter is generated. Based on the information from the backflushing cleaning stage, the sampling steel pipe lifting position signal is processed by interval analysis to determine the difference between the start and end positions of the sampling steel pipe lifting position signal during the backflushing cleaning stage, and to generate displacement recovery characteristic parameters. Based on the backflushing and cleaning stage information, the change process of the motor operating current signal within the preset statistical time window is identified. The complete change process of the motor operating current signal from rising state to falling state and then rising again is identified, and the complete change process is counted to generate current fluctuation number characteristic parameters. Based on the information from the inching reset phase, the timing analysis of the sampling steel pipe lifting position signal is performed to identify the transition process where the rate of change changes from below the preset rate of change threshold to above the preset rate of change threshold. The transition process is then counted to generate displacement response frequency characteristic parameters. Based on the information from the jog reset phase, the difference between the changes in the sampling steel pipe lifting and lowering position signals corresponding to two adjacent displacement responses is calculated to generate single displacement increment characteristic parameters. Based on the information from the jog reset phase, the sampling steel pipe lifting position signal is analyzed and processed continuously in intervals to identify the time interval in which the rate of change is lower than the preset rate of change threshold and continues to be maintained for at least one preset state time, and to generate a characteristic parameter of the length of the jamming interval. A set of stage characteristic parameters is generated based on the characteristic parameters of current drop magnitude, first displacement recovery delay time, displacement recovery amount, number of current fluctuations, number of displacement responses, single displacement increment, and length of the jamming duration interval.

[0044] In this embodiment of the invention, by extracting current and displacement-related characteristic parameters from the backflush cleaning stage and the jogging reset stage respectively, the fault recovery process can be described from multiple dimensions. Specifically, the current drop reflects the degree of load release, the first displacement recovery delay time reflects the response speed of the jamming release, the displacement recovery amount reflects the overall motion recovery degree, the number of current fluctuations reflects particle disturbance or resistance changes, and the number of displacement responses, the single displacement increment, and the length of the jamming duration interval are used to describe the influence of intermittent motion and residual resistance during the jogging reset process.

[0045] By uniformly organizing the aforementioned characteristic parameters to form a set of stage characteristic parameters, the operational status of different stages can be expressed in a structured form, avoiding the information deficiency problem caused by relying on a single indicator for analysis. Furthermore, each characteristic parameter is obtained through time series analysis and interval calculation, possessing a clear data source and calculation method, thus ensuring the parameters have the characteristic of being repeatedly obtainable.

[0046] This method transforms the fault recovery process from a simple time record into a multi-parameter collaborative characterization, which helps to refine the analysis of the recovery process and provides quantifiable evidence for the differences in recovery behavior under different operating conditions.

[0047] In a preferred embodiment of the present invention, based on the information from the jog reset stage, the sampling steel pipe lifting position signal is subjected to time-series analysis processing to identify the transition process where the rate of change changes from below a preset rate of change threshold to above a preset rate of change threshold, and the transition process is counted to generate displacement response frequency characteristic parameters, including: During the inching reset phase, the lifting position signal of the sampled steel pipe is continuously sampled to obtain position data at multiple consecutive sampling times, and the change rate sequence is calculated based on the position change and time interval between adjacent sampling times. The rate of change sequence is compared point by point to identify the moment when the rate of change changes from below the preset rate of change threshold to above the preset rate of change threshold, and this moment is marked as the starting point of a displacement response. During the identification process, it is further determined whether the rate of change continues to be maintained for at least a preset state time after exceeding the preset rate of change threshold, so as to eliminate misjudgments caused by instantaneous fluctuations; the conversion process that meets the continuous condition is cumulatively counted to obtain the number of displacement responses, and this number is used as the characteristic parameter of the number of displacement responses.

[0048] In a preferred embodiment of the present invention, based on the information from the jog reset stage, the sampling steel pipe lifting position signal is subjected to continuous interval analysis processing to identify a time interval in which the rate of change is lower than a preset rate of change threshold and remains in a preset state for at least one preset time, thereby generating a characteristic parameter for the length of the stuck duration interval, including: During the inching reset phase, the rising and falling position signals of the sampled steel pipe are continuously sampled and the rate of change sequence is calculated. The rate of change sequence is divided into intervals to identify time periods in which the rate of change is continuously lower than a preset rate of change threshold, and the start and end times of each time period are recorded. For each identified time period, the duration is determined, and the time intervals whose duration reaches or exceeds the preset state maintenance time are filtered. The length of the time intervals that meet the conditions is statistically analyzed, and the lengths of each interval are accumulated or recorded separately to generate a characteristic parameter of the duration of the stuck interval, which is used to characterize the degree of motion obstruction during the jog reset process.

[0049] In a preferred embodiment of the present invention, the process of generating the comprehensive performance index includes: Based on the set of stage characteristic parameters, the characteristic parameters of current drop amplitude, displacement recovery amount, first displacement recovery delay time, and current fluctuation number in the backflushing cleaning stage are normalized to generate characteristic evaluation parameters for the backflushing cleaning stage. Based on the characteristic evaluation parameters of the backflushing cleaning stage, the magnitude of the current drop amplitude characteristic parameter, the proportion of the displacement recovery amount characteristic parameter in the overall displacement recovery amount, the length of the first displacement recovery delay time characteristic parameter, and the number of current fluctuations characteristic parameters are combined and analyzed to generate the backflushing cleaning stage blockage recovery contribution value. Based on the set of stage characteristic parameters, the characteristic parameters of displacement response times, single displacement increment, and jamming duration interval length in the jogging reset stage are normalized to generate characteristic evaluation parameters for the jogging reset stage. Based on the characteristic evaluation parameters of the jog reset stage, the combination relationship between the characteristic parameters of the displacement response number and the characteristic parameters of the single displacement increment, as well as the characteristic parameters of the length of the jamming duration interval, are analyzed and processed to generate the driving recovery contribution value of the jog reset stage. The time utilization parameters for each stage are generated by calculating the proportion of the duration of the backflushing and cleaning phase and the duration of the jogging and resetting phase in the total fault recovery time. A comprehensive performance index is generated based on the contribution value of the backflushing and clearing phase for unblocking and recovery, the contribution value of the jogging and resetting phase for driving and recovery, and the time utilization parameters of each phase.

[0050] In this embodiment of the invention, by processing the set of stage characteristic parameters, characteristic parameters of different dimensions are converted into evaluation parameters of a unified scale, enabling current, displacement, and time-related indicators to be analyzed in combination within the same evaluation system, thereby avoiding inconsistencies caused by direct comparison between different physical quantities. Furthermore, by calculating the recovery contribution values ​​for the backflush and clearing stage and the jogging reset stage respectively, the role of each stage in the overall recovery process can be distinguished and expressed.

[0051] By further combining the proportion of each stage's duration in the total fault recovery time, a time utilization parameter is formed, ensuring that the recovery process not only considers effectiveness but also reflects efficiency characteristics. Through comprehensive processing of stage contribution values ​​and time utilization, a comprehensive performance index is generated, enabling the recovery process to be evaluated using a unified indicator.

[0052] This method enables a structured evaluation of the recovery process, allowing for horizontal comparison of recovery effects under different recovery strategies or operating conditions, and providing a basis for subsequent control parameter adjustments, thereby making the recovery process analyzable and optimizable.

[0053] In a preferred embodiment of the present invention, the specific method for normalization processing includes: Perform data range analysis on various feature parameters in the stage feature parameter set to obtain the maximum and minimum values ​​of each feature parameter in historical operation or current batch data; For each feature parameter, its current value is compared with the corresponding maximum and minimum values. By calculating the proportion of the deviation of the current value from the minimum value to the difference between the maximum and minimum values, a normalized result within a uniform scale range is obtained. For parameters that are positively correlated with the recovery effect, the normalization results are kept in a positive direction, that is, the larger the parameter value, the larger the normalization result; for parameters that are negatively correlated with the recovery effect, the normalization results are reversed, so that the larger the parameter value, the smaller the normalization result. All normalized parameters are output uniformly to form characteristic evaluation parameters for the backflushing and cleaning stage and characteristic evaluation parameters for the jogging and resetting stage, which are used for subsequent recovery contribution value calculation.

[0054] In a preferred embodiment of the present invention, based on the characteristic evaluation parameters of the backflushing cleaning stage, the magnitude of the current drop amplitude characteristic parameter, the proportion of the displacement recovery amount characteristic parameter in the overall displacement recovery amount, the length of the first displacement recovery delay time characteristic parameter, and the number of current fluctuations characteristic parameters are combined and analyzed to generate the backflushing cleaning stage unblocking recovery contribution value, including: Obtain the characteristic evaluation parameters corresponding to the backflushing and cleaning stage, compare and process the characteristic parameters of current drop amplitude, and use their values ​​to characterize the degree of load release. The characteristic parameters of the displacement recovery amount are processed by proportional analysis and compared with the overall displacement recovery amount to obtain the contribution of this stage to the overall displacement recovery. The first displacement recovery delay time characteristic parameter is evaluated in reverse. The time length is compared with the preset reference time. The shorter the time, the higher the recovery efficiency. The characteristic parameters of the current fluctuation frequency are processed by trend analysis, and the fluctuation frequency is compared with the preset fluctuation reference range to reflect the particle disturbance and resistance change. Based on the above analysis, the evaluation parameters of each feature are processed in a comprehensive manner according to the preset weights, so that the current drop and displacement recovery are taken as positive contributing factors, the first displacement recovery delay time is taken as a negative influencing factor, and the number of current fluctuations is taken as an adjustment factor, thereby generating a backflushing and clearing recovery contribution value under a unified scale.

[0055] In a preferred embodiment of the present invention, based on the characteristic evaluation parameters of the jogging reset stage, the combination relationship between the displacement response frequency characteristic parameter and the single displacement increment characteristic parameter, as well as the characteristic parameter of the jamming duration interval length, are analyzed and processed to generate the jogging reset stage drive recovery contribution value, including: The characteristic parameters of the number of displacement responses and the characteristic parameters of the single displacement increment during the inching reset phase are obtained. The two are combined and analyzed. By comparing the correspondence between the number of displacement responses and the single displacement increment, the effective displacement generated by each driving action is determined to characterize the driving efficiency. The characteristic parameter of the duration of the stuck interval is analyzed in reverse and compared with the preset reference interval length. The shorter the interval length, the less resistance and the smoother the recovery process. In the combined analysis, the number of displacement responses and the single displacement increment are taken as positive factors, and the length of the stuck duration interval is taken as a negative factor. After unified scale transformation, the characteristic evaluation results of the jogging reset stage are formed, and the driving recovery contribution value of the jogging reset stage is generated accordingly.

[0056] In a preferred embodiment of the present invention, the time utilization parameters for each stage are generated by calculating the proportion of the backflushing cleaning stage duration and the jogging reset stage duration in the total fault recovery time, including: The duration of the backflushing and cleaning phase, the duration of the jog reset phase, and the total fault recovery time are obtained. The ratio of the duration of each phase is calculated, that is, the duration of each phase is compared with the total time to obtain the proportion of time occupied by each phase. The time proportions are uniformly scaled so that the time utilization at different stages can be compared under the same evaluation criteria. Further comparisons are made between the time proportions of each stage and preset time allocation reference values ​​to determine whether there are instances of excessive or insufficient time usage in each stage. This generates time utilization parameters for each stage, which characterize the rationality of time allocation during the recovery process. The preset time allocation reference values ​​can be set through historical statistics.

[0057] In a preferred embodiment of the present invention, the process of generating the initial feature information of the backflush cleaning stage includes: Based on the fault initiation information, the motor operating current signal after the fault initiation time is subjected to time sequence analysis and processing. The sampled value sequence within multiple consecutive sampling periods is extracted, and the interval in the sampled value sequence where at least three consecutive sampled values ​​decrease successively is identified to generate monotonically decreasing interval information. Based on the fault initiation information, the sampling steel pipe lifting position signal after the fault initiation time is subjected to time sequence analysis and processing. The change rate corresponding to each sampling period is calculated, and the change rate is identified from the change rate being lower than the preset change rate threshold to the change rate being higher than the preset change rate threshold and remaining higher than the threshold for at least two consecutive sampling periods. Change rate increase interval information is generated. Based on the information of the monotonically decreasing interval and the information of the rate of change increasing interval, time-series overlap analysis is performed to identify the intervals where the overlap length of the two on the time axis is greater than the preset overlap time threshold, and the corresponding relationship information of the start of the backflush cleaning stage is generated. Based on the corresponding information at the start of the backflushing and cleaning stage, generate the characteristic information at the start of the backflushing and cleaning stage.

[0058] In this embodiment of the invention, based on the fault initiation information, time-series analysis is performed on the motor operating current signal and the sampling steel pipe lifting position signal, and the monotonically decreasing interval and the rate of change increasing interval are extracted, so that the key features of current change and displacement change can be independently identified. Based on this, by performing time overlap analysis on the two feature intervals, a correspondence between current decrease and displacement recovery is established, transforming the initiation determination of the backflushing and cleaning stage from a single signal judgment to a multi-signal collaborative judgment.

[0059] By introducing continuous sampling periods, successive changes, and minimum duration constraints, both the monotonically decreasing interval and the rate of change increasing interval have clear judgment conditions, thereby reducing the impact of instantaneous fluctuations on the recognition results. Simultaneously, by setting a time overlap length constraint, the temporal correspondence between the two feature intervals is made stable, avoiding misidentification due to signal asynchrony.

[0060] This method establishes the initial identification of the backflushing cleaning stage on the basis of the synchronous occurrence of current load release and displacement recovery, thereby more accurately reflecting the actual process of the reduction of slurry particle resistance and providing reliable starting point information for subsequent stage division.

[0061] In a preferred embodiment of the present invention, the method for setting a preset overlap time threshold includes: During normal equipment operation and multiple fault recovery processes, the time overlap between the monotonically decreasing interval of the motor operating current signal and the increasing interval of the displacement rate is recorded to obtain multiple sets of historical overlap time data. Statistical analysis of historical overlapping time data is performed to determine the concentrated distribution range of overlapping times and to remove extreme values ​​caused by noise or abnormal fluctuations. Based on the concentrated distribution range, the minimum time length that can stably characterize the synchronicity of current change and displacement change is selected as a reference value. Based on this reference value, the sampling period length is appropriately modified to obtain a preset overlap time threshold, so as to ensure that the effective stage is determined only when the current and displacement change have a stable correspondence.

[0062] In a preferred embodiment of the present invention, the process of generating the starting feature information of the inching reset stage includes: Based on the characteristic information of the end of the backflushing cleaning stage, the time sequence analysis and processing of the sampling steel pipe lifting position signal after the end of the backflushing cleaning stage is performed to calculate the corresponding change rate within multiple consecutive sampling periods, and to identify the change interval where the change rate changes from below the preset change rate threshold to above the preset change rate threshold and then back to below the preset change rate threshold, thereby generating change rate alternation interval information. Based on the characteristic information of the end of the backflushing cleaning stage, the time sequence analysis of the motor operating current signal after the end of the backflushing cleaning stage is performed to identify the change process of the motor operating current signal between consecutive sampling points, from the sampling value increasing one after another to the sampling value decreasing one after another and then changing back to the sampling value increasing one after another. The intervals in which the number of occurrences of the change process is greater than or equal to the preset number threshold are counted to generate the motor operating current signal conversion interval information. Based on the alternating interval information of the rate of change and the conversion interval information of the motor operating current signal, time-series correlation processing is performed to identify the interval where the overlap length of the two on the time axis is greater than the preset matching time threshold, and generate the starting correspondence information of the inching reset stage. Based on the correspondence information at the beginning of the inching reset phase, the starting feature information of the inching reset phase is generated.

[0063] In this embodiment of the invention, by synchronously analyzing the alternating change process of the sampling steel pipe lifting position signal rate and the conversion process of the motor operating current signal after the backflushing cleaning stage, the identification of the inching reset stage can reflect the motion characteristics under the combined action of intermittent drive and residual resistance. Specifically, the alternating high and low displacement change rate reflects the start and stop process of mechanical motion, while the increase and decrease of the current signal reflects the changes in the driving load.

[0064] By identifying the alternating rate of change intervals and the current conversion intervals separately, and further performing time overlap analysis, the starting determination of the inching reset phase is based on the simultaneous satisfaction of two characteristics, thereby improving the accuracy of phase identification. Simultaneously, by setting constraints on the change process and the number of conversions, the identification results are not affected by single abnormal changes, enhancing the stability of the identification process.

[0065] This method can uniformly express the intermittent motion behavior and motor drive characteristics during the jog reset process, making the jog reset stage clearly distinguishable from the backflush cleaning stage, and providing clear stage boundaries for subsequent feature extraction.

[0066] In a preferred embodiment of the present invention, based on the characteristic information of the end of the backflushing cleaning stage, the motor operating current signal after the end of the backflushing cleaning stage is subjected to time-series analysis processing. This process identifies the change in the motor operating current signal between consecutive sampling points, from a gradual increase in sample value to a gradual decrease in sample value, and then back to a gradual increase in sample value. The intervals where the number of occurrences of this change process is greater than or equal to a preset threshold are statistically analyzed, generating motor operating current signal conversion interval information, including: After the backflushing and cleaning phase ends, the motor operating current signal is continuously sampled to obtain current data sequences within multiple sampling periods; The current data sequence is compared point by point to identify the process of the sampled value changing from continuous increase to continuous decrease and then back to continuous increase, and this process is marked as a current conversion process. The number of current conversion processes identified within a continuous time range is counted to obtain the number of conversions in each time interval. The number of conversions is compared with a preset threshold. When the number of conversions within a certain time interval reaches or exceeds the threshold, the time interval is determined as the motor operating current signal conversion interval, and the corresponding conversion interval information is generated.

[0067] In a preferred embodiment of the present invention, the method for setting the preset number of times threshold includes: During the normal jogging reset operation of the equipment, the motor running current signal is continuously sampled, the number of current signal conversions within one standard jogging cycle is counted, and the statistical results within multiple cycles are obtained. The statistical results were analyzed to determine the normal distribution range of the number of transformations, and the minimum number of transformations that could stably characterize the point movement behavior was selected as a reference value. Based on the reference value, a certain margin is set according to the equipment load fluctuation to obtain a preset number of thresholds, which are used to distinguish between effective jogging drive processes and random fluctuations.

[0068] In a preferred embodiment of the present invention, the method for setting a preset matching time threshold includes: During the historical fault recovery process, the time overlap between the displacement rate alternation interval and the motor operating current signal conversion interval is recorded to obtain multiple sets of matching time data. Perform statistical processing on the matching time data to determine its concentrated distribution range and remove data with abnormal deviations; Within a concentrated distribution range, the minimum matching time that can reflect the stable correspondence between the two types of signals is selected as the benchmark value. This is then adjusted in conjunction with the sampling period length and signal delay characteristics to obtain a preset matching time threshold. This ensures that a valid matching relationship is only determined when the displacement change and the current change have sufficient overlap in time.

[0069] In a preferred embodiment of the present invention, the process of generating the current fluctuation frequency characteristic parameter includes: Based on the backflushing and cleaning stage information, the motor operating current signal during the backflushing and cleaning stage is processed by time sequence division, and multiple consecutive preset statistical time windows are divided according to time sequence to generate time window sequence information. Based on the time window sequence information, the trend analysis of the motor operating current signal within each preset statistical time window is performed to identify the process of the motor operating current signal changing from a successive increase in the sampled value to a successive decrease in the sampled value and then back to a successive increase in the sampled value between consecutive sampling points, thereby generating single current fluctuation identification information. Based on the single current fluctuation identification information, the changes identified within each preset statistical time window are counted to generate current fluctuation number information corresponding to each preset statistical time window. The current fluctuation frequency information corresponding to each preset statistical time window is accumulated to generate current fluctuation frequency characteristic parameters.

[0070] In this embodiment of the invention, by dividing the motor operating current signal during the backflushing and cleaning stage into multiple continuous time windows, and identifying the complete current change process within each time window, the acquisition of the number of current fluctuations has a clear time range and statistical basis. Specifically, by identifying the process of successively increasing and decreasing sampled values, each fluctuation has a clear start and end point, thereby avoiding miscounting of random fluctuations or noise.

[0071] By counting and accumulating the current fluctuations within each time window, the number of current fluctuations can reflect the frequency of current changes throughout the entire backflushing and cleaning stage, thereby indirectly characterizing the disturbance and resistance changes of slurry particles. This statistical method is based on fixed time windows, making the number of fluctuations comparable across different stages.

[0072] This method transforms the current fluctuation characteristics from simple observation into structured statistical results, providing stable input parameters for subsequent performance evaluation, while also enhancing the ability to quantify internal disturbances during the backflushing process.

[0073] In a preferred embodiment of the present invention, based on time window sequence information, the motor operating current signal within each preset statistical time window is subjected to trend analysis processing to identify the process by which the motor operating current signal changes from a successive increase in sample value to a successive decrease in sample value and then back to a successive increase in sample value between consecutive sampling points, thereby generating single-current fluctuation identification information, including: Based on the time window sequence information, the corresponding motor operating current signal data sequence within each preset statistical time window is selected sequentially and arranged in chronological order to form a continuous sampling data set; The continuous sampling data set is compared point by point to determine the direction of change of current value between adjacent sampling points. When multiple consecutive sampling points show a trend of increasing change, this stage is marked as the upward trend interval. After the upward trend interval ends, the subsequent sampling points are compared and processed. When multiple consecutive sampling points show a decreasing trend, this stage is marked as a downward trend interval, and the alternation turning point between the upward trend interval and the downward trend interval is recorded. After the downward trend interval ends, the subsequent sampling points are compared and processed. When a trend of increasing change of multiple consecutive sampling points reappears, this stage is marked as the upward trend interval again, and the alternation turning point between the downward trend interval and the upward trend interval is recorded. When the above sequence of increasing, decreasing and increasing again occurs consecutively within the same preset statistical time window, the complete change process is identified as a current fluctuation process, and corresponding single current fluctuation identification information is generated. During the identification process, a minimum number of continuous sampling points is set for each trend interval. Only when the continuous change trend reaches the preset number of sampling points is it determined to be a valid trend interval, thereby eliminating misjudgments caused by random fluctuations or noise.

[0074] Embodiments of the present invention also provide a performance evaluation system for the fault recovery process of sampling equipment, the system comprising: The data acquisition module is used to collect the lifting position signal of the sampling steel pipe and the motor operating current signal during the operation of the sampling equipment; The fault determination module is used to determine that a jamming fault has occurred if the sampling steel pipe lifting position signal stops and the motor running current signal continues to be higher than the upper limit of the preset normal operation range within a preset fault determination time, and to generate fault initiation information. The phase identification module is used to continuously collect the sampling steel pipe lifting position signal and motor operating current signal during the fault recovery process based on the fault initiation information, and automatically identify the backflushing cleaning phase information and the jog reset phase information based on the time sequence changes of the two. The feature extraction module is used to extract the current drop amplitude, first displacement recovery delay time, displacement recovery amount and current fluctuation number based on the backflushing and cleaning stage information, and to extract the displacement response number, single displacement increment and jamming duration interval length based on the jogging reset stage information, generating a set of stage feature parameters. The performance calculation module is used to calculate the recovery contribution value of each stage based on the set of stage characteristic parameters, and generate a comprehensive performance index in combination with the total fault recovery time; and generate a fault recovery performance value based on the comprehensive performance index. The control and execution module is used to adjust the subsequent fault recovery control parameters and execute the adjusted fault recovery process when the fault recovery efficiency value is lower than the preset recovery efficiency threshold. The fault recovery control parameters include the backflush cleaning duration, the number of jog resets, and the jog interval time.

[0075] It should be noted that this system is a system corresponding to the above method. All implementation methods in the above method embodiments are applicable to this embodiment and can achieve the same technical effect.

[0076] Embodiments of the present invention also provide a computing device, including: a processor and a memory storing a computer program, wherein the computer program, when executed by the processor, performs the method described above. All implementations in the above method embodiments are applicable to this embodiment and can achieve the same technical effects.

[0077] Embodiments of the present invention also provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to perform the method described above. All implementations in the above method embodiments are applicable to this embodiment and can achieve the same technical effects.

[0078] The above description represents the preferred embodiments of the present invention. It should be noted that those skilled in the art can make various improvements and modifications without departing from the principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for evaluating the effectiveness of a sampling equipment failure recovery process, characterized in that, The method includes: Collect the sampling steel pipe lifting position signal and motor operating current signal during the operation of the sampling equipment; If the sampling steel pipe lifting position signal stops and the motor running current signal continues to be higher than the upper limit of the preset normal operation range within the preset fault judgment time, a jamming fault is determined to have occurred, and fault initiation information is generated. Based on the fault initiation information, and combined with the timing changes of the sampling steel pipe lifting position signal and the motor operating current signal, the backflushing cleaning stage information and the jog reset stage information are automatically identified. Based on the information from the backwashing stage, the current drop rate, the first displacement recovery delay time, the displacement recovery amount, and the number of current fluctuations are extracted. Based on the information from the jog reset stage, the number of displacement responses, the single displacement increment, and the length of the jamming duration interval are extracted to generate a set of stage characteristic parameters. The recovery contribution value of each stage is calculated based on the set of stage characteristic parameters, and a comprehensive performance index is generated by combining the total fault recovery time; the fault recovery performance value is generated based on the comprehensive performance index. When the fault recovery efficiency value is lower than the preset recovery efficiency threshold, the subsequent fault recovery control parameters are adjusted and the adjusted fault recovery process is executed. The fault recovery control parameters include the backflush cleaning duration, the number of jog resets, and the jog interval time.

2. The method for evaluating the effectiveness of a sampling equipment fault recovery process according to claim 1, characterized in that, The process of automatically identifying backflush cleaning stage information and jog reset stage information includes: Based on the fault initiation information, the timing analysis and processing of the sampling steel pipe lifting position signal and the motor operating current signal are performed to identify the corresponding relationship between the motor operating current signal changing from being higher than the upper limit of the preset normal operating range to being in a monotonically decreasing range within multiple consecutive sampling periods, and the rate of change of the sampling steel pipe lifting position signal increasing from being lower than the preset rate of change threshold to being higher than the preset rate of change threshold and maintaining at least one preset state for at least one preset state duration, thereby generating backflushing cleaning stage initiation characteristic information; Based on the initial characteristic information of the backflushing cleaning stage, the motor operating current signal and the sampling steel pipe lifting position signal are continuously analyzed and processed to identify the corresponding relationship that the value of the motor operating current signal is within the preset current stability range in multiple consecutive sampling periods, and the rate of change of the sampling steel pipe lifting position signal is within the preset stability rate range in multiple consecutive sampling periods. The end characteristic information of the backflushing cleaning stage is generated, and the backflushing cleaning stage information is determined accordingly. Based on the characteristic information of the end of the backflushing cleaning stage, further time sequence analysis and processing are performed on the sampling steel pipe lifting position signal and the motor running current signal. It is identified that the rate of change of the sampling steel pipe lifting position signal in multiple consecutive sampling cycles alternates between being higher than the preset rate of change threshold and lower than the preset rate of change threshold for at least one complete cycle, and the motor running current signal shows at least two corresponding relationships of rising and falling within the corresponding time period, generating the starting characteristic information of the jog reset stage. Based on the initial feature information of the inching reset phase, the corresponding value of the sampling steel pipe lifting position signal reaching the preset initial position is identified, and the motor running current signal is in the preset normal operation range and is maintained for at least one preset state time. The end feature information of the inching reset phase is generated, and the inching reset phase information is determined accordingly.

3. The method for evaluating the effectiveness of a sampling equipment fault recovery process according to claim 1, characterized in that, The process of generating the feature parameter set for the generation stage includes: Based on the information from the backflushing and cleaning phase, the motor operating current signal is subjected to time-series analysis and processing to determine the peak value of the motor operating current signal during the backflushing and cleaning phase and the average value of the motor operating current signal within the preset current stability range. Based on the difference between the peak value and the average value, the characteristic parameter of the current drop amplitude is generated. Based on the information from the backflushing cleaning stage, the time series analysis of the sampling steel pipe lifting position signal is performed to determine the time interval between the start of the backflushing cleaning stage and the corresponding moment when the rate of change of the sampling steel pipe lifting position signal changes from below the preset rate of change threshold to above the preset rate of change threshold, and the first displacement recovery delay time characteristic parameter is generated. Based on the information from the backflushing cleaning stage, the sampling steel pipe lifting position signal is processed by interval analysis to determine the difference between the start and end positions of the sampling steel pipe lifting position signal during the backflushing cleaning stage, and to generate displacement recovery characteristic parameters. Based on the backflushing and cleaning stage information, the change process of the motor operating current signal within the preset statistical time window is identified. The complete change process of the motor operating current signal from rising state to falling state and then rising again is identified, and the complete change process is counted to generate current fluctuation number characteristic parameters. Based on the information from the inching reset phase, the timing analysis of the sampling steel pipe lifting position signal is performed to identify the transition process where the rate of change changes from below the preset rate of change threshold to above the preset rate of change threshold. The transition process is then counted to generate displacement response frequency characteristic parameters. Based on the information from the jog reset phase, the difference between the changes in the sampling steel pipe lifting and lowering position signals corresponding to two adjacent displacement responses is calculated to generate single displacement increment characteristic parameters. Based on the information from the jog reset phase, the sampling steel pipe lifting position signal is analyzed and processed continuously in intervals to identify the time interval in which the rate of change is lower than the preset rate of change threshold and continues to be maintained for at least one preset state time, and to generate a characteristic parameter of the length of the jamming interval. A set of stage characteristic parameters is generated based on the characteristic parameters of current drop magnitude, first displacement recovery delay time, displacement recovery amount, number of current fluctuations, number of displacement responses, single displacement increment, and length of the jamming duration interval.

4. The method for evaluating the effectiveness of a sampling equipment fault recovery process according to claim 1, characterized in that, The process of generating comprehensive performance indicators includes: Based on the set of stage characteristic parameters, the characteristic parameters of current drop amplitude, displacement recovery amount, first displacement recovery delay time, and current fluctuation number in the backflushing cleaning stage are normalized to generate characteristic evaluation parameters for the backflushing cleaning stage. Based on the characteristic evaluation parameters of the backflushing cleaning stage, the magnitude of the current drop amplitude characteristic parameter, the proportion of the displacement recovery amount characteristic parameter in the overall displacement recovery amount, the length of the first displacement recovery delay time characteristic parameter, and the number of current fluctuations characteristic parameters are combined and analyzed to generate the backflushing cleaning stage blockage recovery contribution value. Based on the set of stage characteristic parameters, the characteristic parameters of displacement response times, single displacement increment, and jamming duration interval length in the jogging reset stage are normalized to generate characteristic evaluation parameters for the jogging reset stage. Based on the characteristic evaluation parameters of the jog reset stage, the combination relationship between the characteristic parameters of the displacement response number and the characteristic parameters of the single displacement increment, as well as the characteristic parameters of the length of the jamming duration interval, are analyzed and processed to generate the driving recovery contribution value of the jog reset stage. The time utilization parameters for each stage are generated by calculating the proportion of the duration of the backflushing and cleaning phase and the duration of the jogging and resetting phase in the total fault recovery time. A comprehensive performance index is generated based on the contribution value of the backflushing and clearing phase for unblocking and recovery, the contribution value of the jogging and resetting phase for driving and recovery, and the time utilization parameters of each phase.

5. The method for evaluating the effectiveness of a sampling equipment fault recovery process according to claim 2, characterized in that, The process of generating the initial feature information for the backflush and cleanup phase includes: Based on the fault initiation information, the motor operating current signal after the fault initiation time is subjected to time sequence analysis and processing. The sampled value sequence within multiple consecutive sampling periods is extracted, and the interval in the sampled value sequence where at least three consecutive sampled values ​​decrease successively is identified to generate monotonically decreasing interval information. Based on the fault initiation information, the sampling steel pipe lifting position signal after the fault initiation time is subjected to time sequence analysis and processing. The change rate corresponding to each sampling period is calculated, and the change rate is identified from the change rate being lower than the preset change rate threshold to the change rate being higher than the preset change rate threshold and remaining higher than the threshold for at least two consecutive sampling periods. Change rate increase interval information is generated. Based on the information of the monotonically decreasing interval and the information of the rate of change increasing interval, time-series overlap analysis is performed to identify the intervals where the overlap length of the two on the time axis is greater than the preset overlap time threshold, and the corresponding relationship information of the start of the backflush cleaning stage is generated. Based on the corresponding information at the start of the backflushing and cleaning stage, generate the characteristic information at the start of the backflushing and cleaning stage.

6. The method for evaluating the effectiveness of a sampling equipment fault recovery process according to claim 2, characterized in that, The process of generating the initial feature information of the jog reset phase includes: Based on the characteristic information of the end of the backflushing cleaning stage, the time sequence analysis and processing of the sampling steel pipe lifting position signal after the end of the backflushing cleaning stage is performed to calculate the corresponding change rate within multiple consecutive sampling periods, and to identify the change interval where the change rate changes from below the preset change rate threshold to above the preset change rate threshold and then back to below the preset change rate threshold, thereby generating change rate alternation interval information. Based on the characteristic information of the end of the backflushing cleaning stage, the time sequence analysis of the motor operating current signal after the end of the backflushing cleaning stage is performed to identify the change process of the motor operating current signal between consecutive sampling points, from the sampling value increasing one after another to the sampling value decreasing one after another and then changing back to the sampling value increasing one after another. The intervals in which the number of occurrences of the change process is greater than or equal to the preset number threshold are counted to generate the motor operating current signal conversion interval information. Based on the alternating interval information of the rate of change and the conversion interval information of the motor operating current signal, time-series correlation processing is performed to identify the interval where the overlap length of the two on the time axis is greater than the preset matching time threshold, and generate the starting correspondence information of the inching reset stage. Based on the correspondence information at the beginning of the inching reset phase, the starting feature information of the inching reset phase is generated.

7. The method for evaluating the effectiveness of a sampling equipment fault recovery process according to claim 3, characterized in that, The process of generating the characteristic parameter of the number of current fluctuations includes: Based on the backflushing and cleaning stage information, the motor operating current signal during the backflushing and cleaning stage is processed by time sequence division, and multiple consecutive preset statistical time windows are divided according to time sequence to generate time window sequence information. Based on the time window sequence information, the trend analysis of the motor operating current signal within each preset statistical time window is performed to identify the process of the motor operating current signal changing from a successive increase in the sampled value to a successive decrease in the sampled value and then back to a successive increase in the sampled value between consecutive sampling points, thereby generating single current fluctuation identification information. Based on the single current fluctuation identification information, the changes identified within each preset statistical time window are counted to generate current fluctuation number information corresponding to each preset statistical time window. The current fluctuation frequency information corresponding to each preset statistical time window is accumulated to generate current fluctuation frequency characteristic parameters.

8. A performance evaluation system for the fault recovery process of a sampling device, characterized in that, The system, used in any one of claims 1 to 7, comprises: The data acquisition module is used to collect the lifting position signal of the sampling steel pipe and the motor operating current signal during the operation of the sampling equipment; The fault determination module is used to determine that a jamming fault has occurred if the sampling steel pipe lifting position signal stops and the motor running current signal continues to be higher than the upper limit of the preset normal operation range within a preset fault determination time, and to generate fault initiation information. The phase identification module is used to continuously collect the sampling steel pipe lifting position signal and motor operating current signal during the fault recovery process based on the fault initiation information, and automatically identify the backflushing cleaning phase information and the jog reset phase information based on the time sequence changes of the two. The feature extraction module is used to extract the current drop amplitude, first displacement recovery delay time, displacement recovery amount and current fluctuation number based on the backflushing and cleaning stage information, and to extract the displacement response number, single displacement increment and jamming duration interval length based on the jogging reset stage information, generating a set of stage feature parameters. The performance calculation module is used to calculate the recovery contribution value of each stage based on the set of stage characteristic parameters, and generate a comprehensive performance index in combination with the total fault recovery time; and generate a fault recovery performance value based on the comprehensive performance index. The control and execution module is used to adjust the subsequent fault recovery control parameters and execute the adjusted fault recovery process when the fault recovery efficiency value is lower than the preset recovery efficiency threshold. The fault recovery control parameters include the backflush cleaning duration, the number of jog resets, and the jog interval time.

9. A computing device, characterized in that, include: One or more processors; A storage device for storing one or more programs, which, when executed by one or more processors, cause the one or more processors to implement the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a program that, when executed by a processor, implements the method as described in any one of claims 1 to 7.

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