Method and system for identifying fragile parts of drill jumbo under environmental disturbance, storage medium and electronic equipment

Abstract

The invention belongs to the field of drill jumbo fragile component identification, and particularly relates to a drill jumbo fragile component identification method under environmental disturbance, which comprises the following steps of: analyzing material flow, energy flow and information flow among drill jumbo components, determining function association and failure modes of the components, constructing a fault tree model and mapping the fault tree model into a Bayesian network; the method comprises the following steps: establishing a working performance index system comprising working capability and operation state, determining the change of working performance indexes in a disturbance scene, establishing a toughness performance curve, constructing a toughness evaluation index system comprising recoverability, recovery loss and recovery economy, and calculating a comprehensive toughness evaluation value by adopting a multi-attribute decision analysis method. And identifying fragile parts through sorting and threshold judgment rules. From the perspective of system toughness, the influence of component faults on the overall performance and recovery capability of the system is quantified, objective and accurate identification of the fragile components of the drill jumbo is realized, and effective support is provided for toughness design and preventive maintenance of engineering equipment.

Description

Technical Field

[0001] This invention relates to the field of vulnerable component identification of rock drilling rigs, and particularly to methods, systems, storage media, and electronic devices for identifying vulnerable components of rock drilling rigs under environmental disturbances. Background Technology

[0002] As a core piece of equipment in hard rock construction environments such as tunnel excavation, rock drilling rigs have complex structures and operate in harsh environments, making them susceptible to performance degradation or functional loss due to component failures. Traditional reliability analysis methods are mostly based on static or probabilistic risk assessment frameworks, focusing on the probability of component failure. They identify "weak links" prone to failure through methods such as Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA), but neglect the impact of component failures on the overall system performance, making it difficult to reflect the dynamic response and recovery capabilities of the rock drilling rig system under disturbances. Furthermore, existing methods for identifying vulnerable components often rely on empirical judgment or single performance parameters, resulting in low accuracy and high subjectivity, failing to meet the requirements of toughness design for precise identification of vulnerable components. Therefore, it is necessary to adopt a toughness perspective, using system functional toughness as the core metric, comprehensively considering the failure characteristics, performance impact, and recovery capabilities of components, quantifying the impact of component failures on the maintenance, degradation, and recovery processes of the rock drilling rig system's functions, and identifying vulnerable components that cause a severe decline in system toughness. Summary of the Invention

[0003] This invention aims to overcome the shortcomings of existing methods and provide a method for identifying vulnerable components of a rock drilling rig under environmental disturbances. It systematically quantifies the impact of component failures on system toughness and identifies vulnerable components that pose a critical threat to the overall toughness of the system.

[0004] Firstly, this invention provides a method for identifying vulnerable components of a rock drilling rig under environmental disturbance, including the following steps:

[0005] S1: Analyze the material flow, energy flow and information flow between the components of the rock drilling rig, determine the functional association and failure mode of each component, and based on the failure mode, construct a fault tree model of the rock drilling rig system with "loss of function of rock drilling rig system" as the top event, and map the fault tree model of the rock drilling rig system to a Bayesian network model of the rock drilling rig system.

[0006] S2: Establish a performance index system to characterize the working capacity of the rock drilling rig system. The performance index system to characterize the working capacity of the rock drilling rig system includes the thrust of the propulsion hydraulic cylinder, the drill bit torque, the guiding accuracy of the propulsion guide rail, the tensioning force of the tensioning mechanism, the clamping force of the drill bit clamp, the single impact energy of the impact piston, and the drilling productivity of the rock drilling rig per shift.

[0007] S3: Establish a performance index system to characterize the operating status of the rock drilling rig system. The performance index system to characterize the operating status of the rock drilling rig system includes the rock drilling rig's anti-overturning stability, drill arm strength, propulsion slide bearing stiffness, wire rope tensile strength, and sealing capacity of the sealing component assembly.

[0008] S4: Analyze the relationship between performance indicators and design parameters, control variables and working conditions, establish a mathematical model of performance indicators, determine the changes of performance indicators under disturbance scenarios, and establish toughness performance curves.

[0009] S5: Establish a resilience assessment index system for rock drilling rigs. The system includes a recoverability index to characterize the system's ability and efficiency to recover from failure, a recovery loss index to characterize the amount of performance loss during the recovery process, and a recovery economy index to characterize the overall cost of the recovery process.

[0010] S6: Collect historical operating data and maintenance support data of the rock drilling rig under disturbance scenarios, and calculate the values ​​of each component corresponding to each toughness assessment index based on the toughness assessment index in step S5.

[0011] S7: Based on the toughness assessment index values ​​of the components obtained in step S6, the comprehensive toughness assessment value of each component is calculated using the multi-attribute decision analysis method.

[0012] S8: Sort the comprehensive toughness assessment values ​​of all components and identify vulnerable components by combining the threshold judgment rules.

[0013] Further, in step S1 of this invention, the material flow, energy flow, and information flow between components of the rock drilling rig are analyzed to determine the functional relationships and failure modes of each component. Based on the failure modes, a fault tree model of the rock drilling rig system is constructed, with "loss of function of the rock drilling rig system" as the top event. The model is decomposed into intermediate events and bottom events layer by layer from top to bottom using logic gate operators, with the logic gates being "AND" and "OR". The bottom events are the specific failure modes of each component. The fault tree model of the rock drilling rig system is then mapped to a Bayesian network model of the rock drilling rig system. The specific process is as follows: the bottom events of the fault tree are mapped to the root nodes of the Bayesian network, and their states are defined as binary discrete variables, with a value of 1 for failure and a value of 0 for normal. The intermediate events are mapped to intermediate nodes, and each node is connected by directed edges to represent its dependency relationship. The occurrence probability of the bottom events is assigned to the root nodes as prior probabilities, and the Boolean logic of the logic gates is transformed into a conditional probability table of the intermediate nodes, thereby completing the construction of the Bayesian network of the rock drilling rig system.

[0014] Furthermore, in step S2, the performance indicators characterizing the system's working capacity include the thrust of the hydraulic cylinder, the drill bit torque, the guiding accuracy of the guide rail, the tensioning force of the tensioning mechanism, the clamping force of the drill bit clamp, the single impact energy of the impact piston, and the drilling productivity of the drilling rig per shift.

[0015] The thrust expression for the hydraulic cylinder is:

[0016] ,

[0017] In the formula, p1 is the working chamber pressure of the propulsion hydraulic cylinder, p2 is the actuating chamber pressure of the propulsion hydraulic cylinder, A1 is the area of ​​the rodless chamber, and A2 is the area of ​​the rod chamber. To improve the mechanical efficiency of hydraulic cylinders;

[0018] The expression for the drill bit torque is:

[0019] ,

[0020] In the formula, This refers to the working pressure differential of the rock drill's rotary motor. This refers to the displacement of the rock drill's rotary motor. The mechanical efficiency of the rock drill's rotary motor;

[0021] The expression for the guiding accuracy of the propulsion guide rail is:

[0022] ,

[0023] In the formula, This is the trajectory deviation limit value. This represents the actual value of the trajectory deviation.

[0024] The expression for the tensioning force of the tensioning mechanism is:

[0025] ,

[0026] In the formula, To increase the stiffness of the tension spring, This is the amount of spring deformation. The original length of the spring, This refers to the length of the wire rope.

[0027] The expression for the clamping force of the drill bit holder is:

[0028] ,

[0029] In the formula, Due to work pressure, The effective area of ​​the hydraulic cylinder The coefficient of friction, This refers to the leverage ratio;

[0030] The expression for the single impact energy of an impact piston is:

[0031] ,

[0032] In the formula, For piston mass, Impact velocity;

[0033] The drilling productivity of each shift of the rock drilling rig is quantified by the drilling depth per shift, and its expression is as follows:

[0034] ,

[0035] In the formula, L is the drilling depth per shift, K is the time utilization coefficient of the rock drill, V is the technical drilling speed, T is the pure working time per shift, and n is the number of rock drills working simultaneously on the rock drilling rig.

[0036] Furthermore, in step S3, the performance index system used to characterize the system's operating status includes the rock drilling rig's anti-overturning stability, drill arm strength, propulsion slide bearing stiffness, wire rope tensile strength, and sealing capability of the sealing assembly.

[0037] The expression for the overturning stability of the rock drilling rig is:

[0038] ,

[0039] In the formula, G is the self-weight of the rock drilling rig, a is the horizontal distance from the center of gravity to the overturning edge, and h is the height of the center of gravity. The slope angle is positive when working uphill and negative when working downhill. To maximize the thrust of the mechanism, This is the horizontal distance from the point of application of the load to the overturning edge;

[0040] The expression for drill arm strength is:

[0041] ,

[0042] In the formula, This is the normalized value of the drill arm strength. This represents the allowable stress value for the drill arm. This represents the actual stress borne by the drill arm.

[0043] The expression for the bearing stiffness of the propulsion slide is:

[0044] ,

[0045] In the formula, To drill into the off-center angle, This represents the deformation of the slide table under load.

[0046] The expression for the tensile strength of steel wire rope is:

[0047] ,

[0048] In the formula, For breaking tensile force, This represents the actual tension of the wire rope.

[0049] The sealing capacity expression of the sealing assembly is:

[0050] ,

[0051] In the formula, For the maximum permissible leakage amount, This represents the actual leakage amount;

[0052] Furthermore, in step S4 of this invention, based on the relationship between the thrust of the propulsion hydraulic cylinder, the drill rod torque, the guiding accuracy of the propulsion guide rail, the tensioning force of the tensioning mechanism, the clamping force of the drill clamp, the single impact energy of the impact piston, the drilling productivity of the rock drilling rig per shift, the overturning stability of the rock drilling rig, the drill arm strength, the bearing stiffness of the propulsion slide, the tensile strength of the wire rope, and the sealing capacity of the sealing component assembly and the design parameters, control variables, and working status, a curve showing the performance of the system over time under disturbance scenarios is established.

[0053] In step S5, the recoverability index is quantified by the ratio of the system's performance before and after the disturbance, and its expression is:

[0054] ,

[0055] In the formula, For system performance The recoverability assessment value after being subjected to disturbance, To improve the system's performance after being disturbed The new steady-state performance value achieved can be restored. For the system in its initial steady state Performance values;

[0056] The recovery loss metric is quantified by the area of ​​performance loss, where the area of ​​performance loss is the area enclosed by the performance curve below the expected level and time. The expression for the recovery loss is:

[0057] ,

[0058] In the formula, For system performance The normalized assessment value of the recovery loss after a disturbance, where t0 is the start time of the disturbance event and T is the assessment time window. The system at time t Performance values;

[0059] The recovery economic index is quantified by the system's maintenance cost after a disturbance. This maintenance cost includes direct maintenance costs, labor costs, and spare parts acquisition cycle costs. The recovery economic expression is as follows:

[0060] ,

[0061] In the formula, RC is the economic assessment value of the system's recovery after being subjected to a disturbance. For direct repair costs, For repair labor costs, For spare parts acquisition cycle cost, For the cost of new products;

[0062] Furthermore, in step S7 of this invention, the calculation of the comprehensive toughness assessment value of each component using the multi-attribute decision analysis method specifically involves: assuming there are m components and n indicators, the i-th component is in the... The value on each indicator is Then the evaluation matrix X is:

[0063] ,

[0064] Based on the information entropy method, the entropy values ​​of each indicator are calculated:

[0065] ,

[0066] In the formula, , ;

[0067] Calculate the weights of each indicator based on the entropy value:

[0068] ,

[0069] In the formula, the weights of each indicator are... satisfy ,and ;

[0070] Based on the aforementioned evaluation matrix and index weights, a weighted summation is performed to obtain the comprehensive toughness evaluation value for each component:

[0071] .

[0072] Secondly, the present invention also provides a system for identifying vulnerable components of a rock drilling rig under environmental disturbance, which performs the aforementioned method for identifying vulnerable components of a rock drilling rig under environmental disturbance, including:

[0073] The system modeling module is used to analyze the material flow, energy flow and information flow between components of the rock drilling rig, determine the functional correlation and failure mode of each component, construct a fault tree model of the rock drilling rig system based on the failure modes, and map it to a Bayesian network model.

[0074] The performance index system module is used to establish a working performance index system, which includes a working performance index system for characterizing the working capacity of the rock drilling rig system and a working performance index system for characterizing the operating status of the rock drilling rig system. It also analyzes the changes of each index under disturbance scenarios to establish a toughness performance curve.

[0075] The toughness assessment module is used to establish a toughness assessment index system for the rock drilling rig. The toughness assessment index system includes recoverability index, recovery loss index and recovery economy index, and calculates the values ​​of each component corresponding to each toughness assessment index based on historical data.

[0076] The decision analysis module is used to calculate the comprehensive resilience assessment value of each component based on the values ​​of each component corresponding to each resilience assessment index, using a multi-attribute decision analysis method.

[0077] The vulnerable component identification module sorts the comprehensive toughness assessment values ​​of all components and, in conjunction with preset threshold judgment rules, outputs the vulnerable component identification results.

[0078] Thirdly, the present invention also provides an electronic device, comprising:

[0079] At least one processor; and

[0080] At least one memory communicatively connected to the processor;

[0081] The memory stores instructions that can be executed by a processor, which are then executed by the processor to enable the electronic device to perform the aforementioned method for identifying vulnerable components of a rock drilling rig under environmental disturbances.

[0082] Fourthly, the present invention also provides a computer-readable storage medium storing computer-executable instructions thereon, which, when executed by a processor, implement the aforementioned method for identifying vulnerable components of a rock drilling rig under environmental disturbances.

[0083] Compared with the prior art, the technical solutions provided by the above embodiments of this application have at least the following beneficial effects:

[0084] (1) By constructing a working performance index system and a toughness evaluation index system for the rock drilling rig, the impact of component failures on the system toughness is quantified from multiple dimensions. This not only analyzes the reliability of the rock drilling rig system, but also comprehensively considers the dynamic response and recovery capability of the system, resulting in a more comprehensive evaluation.

[0085] (2) Combining qualitative fault tree models with quantitative Bayesian network models can handle uncertain reasoning. At the same time, the resilience index is calculated based on historical operation and maintenance data, making the identification process more objective.

[0086] (3) By adopting a multi-attribute decision-making method to integrate multi-dimensional indicators, and finally through sorting and threshold judgment, it can accurately identify the vulnerable components that have the greatest impact on the overall resilience of the system, and provide direct and effective decision support for the resilience design, preventive maintenance and spare parts management of engineering equipment. Attached Figure Description

[0087] Figure 1 A fault tree model for the rock drilling rig system.

[0088] Figure 2 This is a Bayesian network model of a rock drilling rig system.

[0089] Figure 3 This is a graph showing the toughness and performance of the drill rod. Specific implementation methods

[0090] Example 1

[0091] The method for identifying vulnerable components of a rock drilling rig under environmental disturbance in this embodiment includes the following steps:

[0092] S1: Analyze the material flow, energy flow and information flow between the components of the rock drilling rig, determine the functional association and failure mode of each component, and based on the failure mode, construct a fault tree model of the rock drilling rig system with "loss of function of rock drilling rig system" as the top event, and map the fault tree model of the rock drilling rig system to a Bayesian network model of the rock drilling rig system.

[0093] S2: Establish a performance index system to characterize the working capacity of the rock drilling rig system. The performance index system to characterize the working capacity of the rock drilling rig system includes the thrust of the propulsion hydraulic cylinder, the drill bit torque, the guiding accuracy of the propulsion guide rail, the tensioning force of the tensioning mechanism, the clamping force of the drill bit clamp, the single impact energy of the impact piston, and the drilling productivity of the rock drilling rig per shift.

[0094] S3: Establish a performance index system to characterize the operating status of the rock drilling rig system. The performance index system to characterize the operating status of the rock drilling rig system includes the rock drilling rig's anti-overturning stability, drill arm strength, propulsion slide bearing stiffness, wire rope tensile strength, and sealing capacity of the sealing component assembly.

[0095] S4: Analyze the relationship between performance indicators and design parameters, control variables and working conditions, establish a mathematical model of performance indicators, determine the changes of performance indicators under disturbance scenarios, and establish toughness performance curves.

[0096] S5: Establish a resilience assessment index system for rock drilling rigs. The system includes a recoverability index to characterize the system's ability and efficiency to recover from failure, a recovery loss index to characterize the amount of performance loss during the recovery process, and a recovery economy index to characterize the overall cost of the recovery process.

[0097] S6: Collect historical operating data and maintenance support data of the rock drilling rig under disturbance scenarios, and calculate the values ​​of each component corresponding to each toughness assessment index based on the toughness assessment index in step S5.

[0098] S7: Based on the toughness assessment index values ​​of the components obtained in step S6, the comprehensive toughness assessment value of each component is calculated using the multi-attribute decision analysis method.

[0099] S8: Sort the comprehensive toughness assessment values ​​of all components and identify vulnerable components by combining the threshold judgment rules.

[0100] The following example uses a certain model of rock drilling rig as an application example of the method for identifying vulnerable components of rock drilling rig under environmental disturbance in this embodiment. Twelve components are selected: propulsion hydraulic cylinder, drill rod, propulsion guide rail, tensioning mechanism, drill clamp, impact piston, drill arm, propulsion slide, wire rope, sealing assembly, propulsion beam lifting cylinder and chassis.

[0101] The specific implementation process is as follows:

[0102] The material flow, energy flow, and information flow among the 12 selected components of the rock drilling rig were analyzed to determine the functional relationships and failure modes of each component. "Loss of rock drilling rig system function" was designated as the top event, with the loss of attitude adjustment function (M1), loss of drilling function (M2), and loss of support function (M3) as intermediate events. Fault tree models of the rock drilling rig system were constructed, with the failure of each of the 12 components as the base event. Figure 1 As shown;

[0103] The components and their failure probabilities corresponding to each bottom event are shown in the table below:

[0104]

[0105] Mapping the fault tree model of the rock drilling rig system to a Bayesian network model of the rock drilling rig system, such as... Figure 2 As shown;

[0106] The changes in working performance indicators under scenarios of abrupt changes in rock hardness grade and working slope were analyzed.

[0107] Scenario 1: Sudden change in rock hardness grade (compressive strength 80MPa → compressive strength 120MPa)

[0108] The core disturbance characteristics of this scenario are the sudden increase in impact load and torsional load, which directly act on rock-breaking actuators such as the drill rod and impact piston, and are then transmitted to the power feed and clamping components.

[0109] Before the disturbance, the drill bit torque was stable at 800 N·m. After the disturbance, the rock reaction force suddenly increased, and the drill bit torque was instantly overloaded and then decreased to 312 N·m due to thread wear. At the same time, the drilling speed decreased and frequent machine shutdowns occurred. After drilling productivity repair measures were implemented, the drill bit torque gradually recovered to a new steady-state value of 496 N·m.

[0110] Before the disturbance, the single impact energy of the impact piston was stable at 185J. After the disturbance, the resistance of the piston reciprocating motion increased, the stress of the piston head contacting the rod increased sharply, the wear intensified, and the energy loss increased, causing the impact energy to decay to 90J. After the repair measures, the single impact energy of the impact piston gradually recovered to a new steady-state value of 107J.

[0111] Before the disturbance, the thrust of the hydraulic cylinder was stable at 55kN. After the disturbance, the resistance of the drill rod to breaking rock increased suddenly, the load of the hydraulic cylinder rose instantaneously, the friction between the liquid seal and the cylinder wall intensified, and a slight leak occurred. The continuously high load accelerated the rise in hydraulic oil temperature, and the decrease in oil viscosity affected the stability of the thrust. The thrust decreased to 40kN. After the repair measures, it gradually recovered to the new steady-state value of 47kN.

[0112] Before the disturbance, the clamping force of the drill bit clamp was stable at 40kN. After the disturbance, the impact vibration of the drill rod was transmitted to the clamp, and slippage occurred between the jaws and the drill rod. The clamping force decreased to 20kN. After the repair measures were taken, it gradually recovered to the new steady-state value of 28kN.

[0113] Before the disturbance, the sealing capacity of the sealing assembly was stable at 2.2. After the disturbance, it decreased to 1. After the repair measures, it gradually recovered to the new steady-state value of 1.2.

[0114] Before the disturbance, the bearing stiffness of the slide was stable at 2. After the rock hardness changed abruptly, the impact vibration caused an instantaneous gap impact between the slide roller and the guide rail. After the roller was vibrated, the contact pressure between the roller and the guide rail fluctuated for a short time. The slide was subjected to a sudden increase in load, and the bearing stiffness decreased to 1.3. After the repair measures, it gradually recovered to the new steady state value of 1.5.

[0115] Before the disturbance, the drilling productivity of the rock drilling rig was 42m / shift. After the rock hardness increased, the wear of the drill rod was aggravated, which led to a decrease in drilling speed and frequent machine stoppages. The impact energy provided by the impact piston also decreased, resulting in a decrease in impact efficiency. The unstable thrust of the propulsion hydraulic cylinder affected the continuity of propulsion. The leakage of the sealing components caused the system to stop and the time utilization coefficient decreased. The drilling productivity of the rock drilling rig decreased to 18m / shift. After the repair measures, it gradually recovered to the new steady-state value of 28m / shift.

[0116] Scenario 2: Sudden change in slope (0°→15°)

[0117] The core disturbance in this scenario is the off-center overload caused by the shift of the overall center of gravity. The performance changes are concentrated in the load-bearing support components and are transmitted to the motion guiding components.

[0118] Before the disturbance, the anti-overturning stability was stable at 1.8. After the disturbance, the center of gravity shift caused it to decrease to 1.1. After the repair measures, it gradually recovered to the new steady-state value of 1.6.

[0119] Before the disturbance, the normalized value of the drill arm strength was stable at 1. After the sudden change in slope, the bearing stress of the dangerous section increased sharply, and the normalized value of the drill arm strength decreased to 0.67. After the repair measures, it gradually recovered to the new steady-state value of 0.8.

[0120] For the lifting force of the propulsion beam lifting cylinder, the same mathematical model as the thrust of the propulsion hydraulic cylinder is used for calculation. Before the disturbance, the lifting force of the propulsion beam lifting cylinder is stable at 70kN. After the disturbance, the drill arm eccentric load is transmitted to the cylinder, the cylinder rod bears the eccentric load, and the lifting force decreases to 40kN. After the repair measures, it gradually recovers to the new steady state value of 53kN.

[0121] Before the disturbance, the guiding accuracy of the propulsion guide rail was stable at 0.95. After the disturbance, the slide table was unbalanced along the slope direction, and the load on one side of the slider increased sharply, resulting in a gap between the slider and the guide rail, the guiding deviation increased, and the guiding accuracy decreased to 0.5. After the repair measures, it gradually recovered to a new steady-state value of 0.74.

[0122] Before the disturbance, the tensile strength of the wire rope was stable at 2. After the disturbance, the tension of the wire rope changed and wear intensified, and the tensile strength decreased to 1.1. After the repair measures, it gradually recovered to the new steady-state value of 1.2.

[0123] Before the disturbance, the tension of the tensioning mechanism was stable at 12kN. After the disturbance, the wire rope tension was overloaded, and the spring compression of the tensioning mechanism increased sharply, exceeding the elastic deformation limit, causing the tension to decrease to 6kN. After the repair measures, it gradually recovered to the new steady-state value of 8.6kN.

[0124] Before the disturbance, the drilling productivity of the rock drilling rig was 42m / shift. After the sudden increase in slope, the guiding accuracy of the propulsion guide rail decreased, causing drilling deviation. Frequent adjustments reduced drilling continuity, the load-bearing stress of the drill arm increased, the positioning accuracy decreased, affecting the drilling positioning efficiency, the lifting force decreased, making it difficult to adjust the drill arm posture, increasing auxiliary operation time, and the tension fluctuation of the wire rope and tensioning mechanism caused unstable propulsion and a decrease in drilling speed. The drilling productivity of the rock drilling rig decreased to 14.4m / shift. After the repair measures, the system adapted to the 15° slope working environment through structural reinforcement and control optimization. The drilling productivity of the rock drilling rig gradually recovered to a new steady-state value of 50.4m / shift.

[0125] Taking the drill bit torque as an example, a toughness performance curve is established, such as... Figure 3 As shown, in the initial state, the drill bit torque is stable at 800 N·m. At time t1, a disturbance occurs and the rock reaction force increases suddenly. During the time interval from t1 to t2, the drill bit thread wears due to instantaneous overload, and the drill bit torque gradually decreases, eventually reaching a minimum value of 312 N·m. After repair measures are taken during the time interval from t2 to t3, the drill bit torque gradually recovers and reaches a new steady-state value of 496 N·m at time t4.

[0126] Based on the constructed recoverability index, recovery loss index, and recovery economy index, and combined with the historical operation data and maintenance support data of the rock drilling rig under scenarios of sudden changes in rock hardness and slope, the values ​​of each component corresponding to each evaluation index are calculated as shown in the table below:

[0127]

[0128] The evaluation matrix X is constructed, and the weights of each indicator are calculated using the entropy weight method, as shown in the table below:

[0129]

[0130] Based on the evaluation matrix and index weights, the comprehensive toughness evaluation value of each component is calculated by weighted summation, as shown in the table below:

[0131]

[0132] Set rules for identifying vulnerable components.

[0133] Ranking rule: Components ranked in the bottom 30% based on their overall toughness assessment value are identified as candidate vulnerable components;

[0134] Threshold rule: Comprehensive resilience assessment value It was identified as a candidate vulnerable component;

[0135] The results showed that the comprehensive toughness assessment values ​​of the drill rod, impact piston, wire rope, and sealing components were in the bottom 30% range and all less than 0.5. Based on the two judgment rules, the drill rod, impact piston, wire rope, and sealing components were finally identified as the weak components of the rock drilling rig.

[0136] Example 2

[0137] The vulnerable component identification system of the rock drilling rig under environmental disturbance in this embodiment implements the vulnerable component identification method of the rock drilling rig under environmental disturbance in Embodiment 1. In specific implementation, the system may include the following functional modules to complete the identification process: a system modeling module, used to perform the analysis and modeling process as described in step S1, analyze the material flow, energy flow and information flow between rock drilling rig components, determine the functional association and failure mode of each component, and construct a fault tree model of the rock drilling rig system based on this, and finally map the model to a Bayesian network model to provide a basis for subsequent probabilistic reasoning and impact analysis;

[0138] The performance index system module is used to perform the work described in steps S2, S3 and S4. This module is responsible for establishing a performance index system that characterizes the working capacity of the rock drilling rig system and a performance index system that characterizes the operating status of the rock drilling rig system. Based on the actual data of the rock drilling rig under disturbance scenarios, it analyzes the changing patterns of each performance index, establishes corresponding toughness performance curves, and intuitively reflects the dynamic process of system performance degradation and recovery over time.

[0139] The resilience assessment module performs the calculation tasks described in steps S5 and S6. This module establishes a resilience assessment index system comprising three dimensions: recoverability, recovery loss, and recovery economy. Based on the collected historical operating data and maintenance data of the rock drilling rig, it calculates and outputs the specific values ​​for each component corresponding to each of the resilience assessment indices.

[0140] The decision analysis module is used to perform the decision analysis as described in step S7. This module receives the component index values ​​from the resilience assessment module, uses a multi-attribute decision analysis method to calculate and determine the weight of each resilience assessment index, and calculates the comprehensive resilience assessment value of each component by weighted summation.

[0141] The vulnerable component identification module is used to perform vulnerable component identification as described in step S8. This module sorts the comprehensive toughness assessment values ​​of all components and automatically compares and judges them in combination with preset threshold rules, and outputs a list of identified vulnerable components, such as the drill rod, impact piston, wire rope and sealing assembly identified in this embodiment.

[0142] Example 3

[0143] The electronic device in this embodiment includes:

[0144] At least one processor; and

[0145] At least one memory communicatively connected to the processor;

[0146] The memory stores instructions that can be executed by a processor, which are then executed by the processor to cause the electronic device to perform the method for identifying vulnerable components of a rock drilling rig under environmental disturbances in Embodiment 1.

[0147] Example 4

[0148] The computer-readable storage medium of this embodiment stores computer-executable instructions. When the processor executes the computer-executable instructions, it implements the method for identifying vulnerable components of a rock drilling rig under environmental disturbance as described in Embodiment 1.

Claims

1. A method for identifying vulnerable components of a rock drilling rig under environmental disturbance, characterized in that, Includes the following steps: S1: Analyze the material flow, energy flow and information flow between the components of the rock drilling rig, determine the functional association and failure mode of each component, and based on the failure mode, construct a fault tree model of the rock drilling rig system with "loss of function of rock drilling rig system" as the top event, and map the fault tree model of the rock drilling rig system to a Bayesian network model of the rock drilling rig system. S2: Establish a performance index system to characterize the working capacity of the rock drilling rig system. The performance index system to characterize the working capacity of the rock drilling rig system includes the thrust of the propulsion hydraulic cylinder, the drill bit torque, the guiding accuracy of the propulsion guide rail, the tensioning force of the tensioning mechanism, the clamping force of the drill bit clamp, the single impact energy of the impact piston, and the drilling productivity of the rock drilling rig per shift. S3: Establish a performance index system to characterize the operating status of the rock drilling rig system. The performance index system to characterize the operating status of the rock drilling rig system includes the rock drilling rig's anti-overturning stability, drill arm strength, propulsion slide bearing stiffness, wire rope tensile strength, and sealing capacity of the sealing component assembly. S4: Analyze the relationship between performance indicators and design parameters, control variables and working conditions, establish a mathematical model of performance indicators, determine the changes of performance indicators under disturbance scenarios, and establish toughness performance curves. S5: Establish a resilience assessment index system for rock drilling rigs. The system includes a recoverability index to characterize the system's ability and efficiency to recover from failure, a recovery loss index to characterize the amount of performance loss during the recovery process, and a recovery economy index to characterize the overall cost of the recovery process. S6: Collect historical operating data and maintenance support data of the rock drilling rig under disturbance scenarios, and calculate the values ​​of each component corresponding to each toughness assessment index based on the toughness assessment index in step S5. S7: Based on the toughness assessment index values ​​of the components obtained in step S6, the comprehensive toughness assessment value of each component is calculated using the multi-attribute decision analysis method. S8: Sort the comprehensive toughness assessment values ​​of all components and identify vulnerable components by combining the threshold judgment rules.

2. The method for identifying vulnerable components of a rock drilling rig under environmental disturbance as described in claim 1, characterized in that, In step S1: S11: The construction process of the fault tree model of the rock drilling rig system is as follows: taking the loss of function of the rock drilling rig system as the top event, the deductive analysis method is adopted, and the system is decomposed into intermediate events and bottom events from top to bottom through logic gate operators, where the bottom event is the failure of a specific component. S12: The process of mapping the fault tree model of the rock drilling rig system to the Bayesian network model of the rock drilling rig system is as follows: the bottom events of the fault tree are mapped to the root nodes of the Bayesian network, and their states are defined as binary discrete variables; the intermediate events are mapped to the intermediate nodes, and the nodes are connected by directed edges to represent their dependencies; the occurrence probability of the bottom events is assigned to the root nodes as prior probabilities, and the Boolean logic of the logic gates is transformed into the conditional probability table of the intermediate nodes, thereby completing the construction of the Bayesian network of the rock drilling rig system.

3. The method for identifying vulnerable components of a rock drilling rig under environmental disturbance as described in claim 1, characterized in that, In step S2, the performance index system characterizing the working capability of the rock drilling rig system is specifically as follows: The thrust expression for the hydraulic cylinder is: ， In the formula, p1 is the working chamber pressure of the propulsion hydraulic cylinder, p2 is the actuating chamber pressure of the propulsion hydraulic cylinder, A1 is the area of ​​the rodless chamber, and A2 is the area of ​​the rod chamber. To improve the mechanical efficiency of hydraulic cylinders; The expression for the drill bit torque is: ， In the formula, This refers to the working pressure differential of the rock drill's rotary motor. This refers to the displacement of the rock drill's rotary motor. The mechanical efficiency of the rock drill's rotary motor; The expression for the guiding accuracy of the propulsion guide rail is: ， In the formula, This is the trajectory deviation limit value. This represents the actual value of the trajectory deviation. The expression for the tensioning force of the tensioning mechanism is: ， In the formula, To increase the stiffness of the tension spring, This is the amount of spring deformation. The original length of the spring, This refers to the length of the wire rope. The expression for the clamping force of the drill bit holder is: ， In the formula, Due to work pressure, The effective area of ​​the hydraulic cylinder The coefficient of friction, This refers to the leverage ratio; The expression for the single impact energy of an impact piston is: ， In the formula, For piston mass, Impact velocity; The drilling productivity of each shift of the rock drilling rig is quantified by the drilling depth per shift, and its expression is as follows: ， In the formula, L is the drilling depth per shift, K is the time utilization coefficient of the rock drill, V is the technical drilling speed, T is the pure working time per shift, and n is the number of rock drills working simultaneously on the rock drilling rig.

4. The method for identifying vulnerable components of a rock drilling rig under environmental disturbance as described in claim 1, characterized in that, In step S3, the performance indicators characterizing the operating status of the rock drilling rig system are as follows: The expression for the overturning stability of the rock drilling rig is: ， In the formula, G is the self-weight of the rock drilling rig, a is the horizontal distance from the center of gravity to the overturning edge, and h is the height of the center of gravity. The slope angle, To maximize the thrust of the mechanism, This is the horizontal distance from the point of application of the load to the overturning edge; The expression for drill arm strength is: ， In the formula, This is the normalized value of the drill arm strength. This represents the allowable stress value for the drill arm. This represents the actual stress borne by the drill arm. The expression for the bearing stiffness of the propulsion slide is: ， In the formula, To drill into the off-center angle, This represents the deformation of the slide table under load. The expression for the tensile strength of steel wire rope is: ， In the formula, For breaking tensile force, This represents the actual tension of the wire rope. The sealing capacity expression of the sealing assembly is: ， In the formula, For the maximum allowable leakage, This represents the actual leakage amount.

5. The method for identifying vulnerable components of a rock drilling rig under environmental disturbance as described in claim 1, characterized in that, In step S4, establishing the toughness performance curve specifically involves: Based on the relationship between the thrust of the propulsion hydraulic cylinder, the drill bit torque, the guiding accuracy of the propulsion guide rail, the tensioning force of the tensioning mechanism, the clamping force of the drill bit clamp, the single impact energy of the impact piston, the drilling productivity of the rock drilling rig per shift, the anti-overturning stability of the rock drilling rig, the drill arm strength, the bearing stiffness of the propulsion slide, the tensile strength of the wire rope, and the sealing capacity of the sealing component assembly and the design parameters, control variables, and working status, a curve of the system's performance changing over time under disturbance scenarios is established.

6. The method for identifying vulnerable components of a rock drilling rig under environmental disturbance as described in claim 1, characterized in that, In step S5: The recoverability metric is quantified by the ratio of the system's performance before and after the disturbance, and its expression is as follows: ， In the formula, For system performance The recoverability assessment value after being subjected to disturbance, To improve the system's performance after being disturbed The new steady-state performance value achieved can be restored. For the system in its initial steady state Performance values; The recovery loss metric is quantified by the area of ​​performance loss, where the area of ​​performance loss is the area enclosed by the performance curve below the expected level and time. The expression for the recovery loss is: ， In the formula, For system performance The normalized assessment value of the recovery loss after a disturbance, where t0 is the start time of the disturbance event and T is the assessment time window. The system at time t Performance values; The recovery economic index is quantified by the system's maintenance cost after a disturbance. This maintenance cost includes direct maintenance costs, labor costs, and spare parts acquisition cycle costs. The recovery economic expression is as follows: ， In the formula, RC is the economic assessment value of the system's recovery after being subjected to a disturbance. For direct repair costs, For repair labor costs, For spare parts acquisition cycle cost, Cost of new products.

7. The method for identifying vulnerable components of a rock drilling rig under environmental disturbance as described in claim 1, characterized in that, In step S7, the calculation of the comprehensive toughness assessment value of each component using the multi-attribute decision analysis method specifically involves: Based on the three toughness assessment indicators, assuming there are m components, the i-th component is in the... The value on each indicator is Then the evaluation matrix X is: ， Based on the information entropy method, the entropy weight of each indicator is calculated, which is used as the objective weight of the three indicators. Based on the evaluation matrix and the indicator weights, the weighted sum is calculated to obtain the comprehensive resilience evaluation value of each component.

8. A system for identifying vulnerable components of a rock drilling rig under environmental disturbance, characterized in that, The method for identifying vulnerable components of a rock drilling rig under environmental disturbance as described in any one of claims 1-7 includes: The system modeling module is used to analyze the material flow, energy flow and information flow between components of the rock drilling rig, determine the functional correlation and failure mode of each component, construct a fault tree model of the rock drilling rig system based on the failure modes, and map it to a Bayesian network model. The performance index system module is used to establish a working performance index system, which includes a working performance index system for characterizing the working capacity of the rock drilling rig system and a working performance index system for characterizing the operating status of the rock drilling rig system. The module also analyzes the changes of each index under disturbance scenarios to establish a toughness performance curve. The toughness assessment module is used to establish a toughness assessment index system for the rock drilling rig. The toughness assessment index system includes recoverability index, recovery loss index and recovery economy index, and calculates the values ​​of each component corresponding to each toughness assessment index based on historical data. The decision analysis module is used to calculate the comprehensive resilience assessment value of each component based on the values ​​of each component corresponding to each resilience assessment index, using a multi-attribute decision analysis method. The vulnerable component identification module sorts the comprehensive toughness assessment values ​​of all components and, in conjunction with preset threshold judgment rules, outputs the vulnerable component identification results.

9. An electronic device, characterized in that, include: At least one processor; as well as At least one memory communicatively connected to the processor; The memory stores instructions that can be executed by a processor, which are executed by the processor to cause the electronic device to perform the method for identifying vulnerable components of a rock drilling rig under environmental disturbance as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, It stores computer execution instructions, and when the processor executes the computer execution instructions, it implements the method for identifying vulnerable components of a rock drilling rig under environmental disturbance as described in any one of claims 1-7.

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