CN-121706427-B - Drill jumbo toughness assessment method based on personalized customization and environmental disturbance

CN121706427BCN 121706427 BCN121706427 BCN 121706427BCN-121706427-B

Abstract

The invention discloses a method for evaluating toughness of a drill jumbo based on personalized customization and environment disturbance, which comprises the steps of constructing a personalized demand library and an environment disturbance library, constructing a forward propagation network of demand change and a reverse feedback network of environment disturbance and a propagation network of the environment disturbance, identifying components and paths of the impact of the demand change and the environment disturbance in a co-propagation mode, respectively setting a first scene of environment disturbance evaluation, a second scene of personalized customization demand change evaluation and a third scene of environment disturbance evaluation and personalized customization demand change evaluation when the environment disturbance and the personalized customization demand change act simultaneously, establishing a toughness evaluation index system of the drill jumbo, and generating a comprehensive toughness evaluation result under a scene to be evaluated by adopting a weighted fusion method based on numerical values of four indexes obtained through calculation. The invention can improve the toughness of the rock drilling jumbo under the environment disturbance and personalized customization demand change scene.

Inventors

CHENG XIANFU
YUAN TIAN
LAN HAI
CHEN QIPING
WANG JUNGANG
ZENG DEQUAN
LI SONG
XIE DONGFU

Assignees

华东交通大学

Dates

Publication Date: 20260508
Application Date: 20260206

Claims (6)

1. A method for evaluating toughness of a drill jumbo based on personalized customization and environmental disturbance, comprising the steps of: Step S1, constructing a personalized demand library and an environment disturbance library, wherein the personalized demand library comprises a driving unit type, drilling capability demand parameters, operation efficiency demand parameters and functional adaptability parameters, and the environment disturbance library comprises rock mass parameters and environment parameters; S2, analyzing the functional, structural and physical connection association relation among components in the drilling trolley, respectively constructing a forward propagation network of the demand change and a reverse feedback network of the environmental disturbance and a propagation network of the demand change and the environmental disturbance, and identifying components and paths of the demand change and the environmental disturbance which are affected by the co-propagation; Step S3, respectively setting a first scene of environment disturbance evaluation, a second scene of personalized customization demand change evaluation, an environment disturbance and a third scene of personalized customization demand change evaluation when the environment disturbance and the personalized customization demand change are simultaneously acted, wherein the first scene is used for analyzing the influence on the performance of the drill jumbo after the environment disturbance event occurs by at least one environment disturbance event selected from the environment disturbance library, the second scene is used for analyzing the influence on the performance of the drill jumbo after the demand change occurs by at least one requirement change selected from the personalized demand library, and the third scene is used for analyzing the influence on the performance of the drill jumbo after the demand change and the environment disturbance event commonly occur by at least one environment disturbance event selected from the environment disturbance library and at least one requirement change selected from the personalized demand library based on the identified components and paths; Step S4, a toughness assessment index system of the drill jumbo is established, wherein the toughness assessment index system comprises an adaptability index for representing the capability of the system to maintain the function requirement when the system is subjected to various expected environmental factors during service, a robustness index for representing the capability of the system to ensure that the quality performance index of the system is stable within an allowable range under the condition of environmental disturbance, a restorability index for representing the capability and efficiency of the system to restore original operation from faults, and a rapidity index for representing the capability of the system to quickly restore to expected performance through restoration after the structure is damaged when the system is subjected to the action of environmental disturbance; step S5, based on the numerical values of the four indexes obtained by calculation in the step S4, a comprehensive toughness evaluation result under a scene to be evaluated is generated by adopting a weighted fusion method; In step S2, components and paths affected by the co-propagation of the demand change and the environmental disturbance are identified, which specifically includes: Analyzing components influenced by the requirement change propagation and the environmental disturbance according to the propagation network, taking the components influenced by the requirement change propagation and the environmental disturbance at the same time as cross components, and collecting the cross components Represented as , wherein, Representing a collection of components that are only affected by the forward propagation of demand changes, Representing a set of components affected only by the environmental disturbance feedback; when the propagation path between two components is generated by the combined action of the requirement change and the environmental disturbance, defining the propagation path between the two components as a cross path; The step S3 specifically comprises the following steps: S301, identifying components and paths for obtaining the co-propagation influence of the demand change and the environmental disturbance based on the step S2, analyzing the correlation of the influence of the demand change and the environmental disturbance on the performance of the drill jumbo, quantifying the correlation of the influence of the demand change on the performance and the influence of the environmental disturbance on the performance by utilizing the Szechwan grade correlation coefficient, and marking as follows ; S302, record In order to change the demand The performance index value of the moment in time, When the environment is disturbed, the drilling trolley is arranged at Performance index value at moment, demand change and environment disturbance simultaneously act on rock drilling trolley The performance index value at the time is recorded as ; S303, when the influence of the demand change and the environmental disturbance on the system performance is irrelevant, namely Then, the first and second data are obtained, , Representing to take the minimum value; s304, when the influence of the demand change and the environmental disturbance on the system performance is completely positively correlated, namely Then, the first and second data are obtained, , Indicating that the maximum value is taken, Performance before demand change and environmental disturbance of the drill jumbo; S305, when the influence of the demand change and the environmental disturbance on the system performance is between uncorrelated and completely positively correlated, i.e The following formula is satisfied: 。
2. The method for evaluating toughness of a rock-drilling rig according to claim 1, wherein in step S1, the driving unit type includes hydraulic cylinder type driving, chain transmission type driving, rotary motor type driving, the drilling capability requirement parameters include tunnel section shape, tunnel section size, drilling depth, drilling diameter, the operation efficiency requirement parameters include drilling cycle time, number of drilling arms, and the function adaptability parameters include a rock drill impact power adaptation value and a dust removal system air volume adaptation value; the rock parameters comprise rock uniaxial compressive strength, rock abrasiveness, rock integrity and rock water burst classification, and the environmental parameters comprise environmental temperature, environmental humidity, salinity, altitude and dust concentration; changes in rock mass parameters and environmental parameters are considered disturbance events.
3. The method for evaluating toughness of a drill rig according to claim 1, wherein in step S3, the first scenario is selected from at least one environmental disturbance event from the environmental disturbance library, and the analysis of the impact of the environmental disturbance event on the performance of the drill rig specifically includes: Drilling trolley at When the moment is disturbed, the performance of the device is from the initial value Start to descend at Time of day performance drops to a minimum level Gradually adapt to a period of time Repair is started at the moment, at The time of day performance is restored to the original level.
4. The method for evaluating toughness of a drill rig according to claim 1, wherein in step S3, the second scenario is selected from the personalized demand library at least once, and the influence of the demand change on the performance of the drill rig is analyzed, specifically including: The method comprises the steps of defining a product before the change of the demand as an original product, defining a product after the change of the demand as a modified product, if the performance of the original product does not meet the performance requirement of the modified product when the demand is changed, considering that the performance of the system is relatively reduced, and if the product cannot adapt to the change of the demand after a period of work, restoring the performance of the product through repair, and if the original product does not have the performance expected by the modified product when the demand is changed, considering the performance of the original product as no, and then realizing the performance expected by the modified product through redesign.
5. The method for evaluating toughness of a rock-drilling rig based on personalized customization and environmental disturbance according to claim 1, wherein in step S4, the expression of the adaptability index is: Wherein, the To be about the first Personal functional requirements Is used for the control of the adaptive index of (a), Is the amount of information that is adaptively changed to meet the changing needs of the personalized customization, The information quantity is redeveloped for meeting the change of personalized customization demands; The expression of the robustness index is: Wherein, the Is the first under disturbance Individual performance index Is used as an indicator of the robustness of (1), To normalize the performance values after being subjected to a disturbance, Is a performance value in a stable state before disturbance; the expression of the restorability index is: Wherein, the Is about the working performance of the system A restorability indicator after being subjected to a disturbance, To the working performance of the system after being disturbed The new steady state performance value reached is restored, The performance value of the system in the initial stable state is obtained; the expression of the rapidity index is: Wherein, the Is of a structure Fast index when bearing the environmental disturbance action, Is of a structure The repair time after the damage of the environmental disturbance is born, The time required for the re-production of the damaged structure.
6. The method for evaluating toughness of a rock-drilling rig based on personalized customization and environmental disturbance according to claim 5, wherein step S5 specifically comprises: Step S501, performing pairwise comparison on an adaptability index, a robustness index, a restorability index and a rapidness index by using an AHP analytic hierarchy process, constructing a judgment matrix, performing relative importance judgment on the indexes, assigning a judgment matrix, and calculating the maximum characteristic value and the consistency index in the judgment matrix so as to determine subjective weights of the adaptability index, the robustness index, the restorability index and the rapidness index; Step S502, carrying out standardization processing on the adaptability index, the robustness index, the restorability index and the rapidity index by utilizing an entropy weight method, determining an information entropy value, and calculating the information entropy redundancy, thereby determining objective weights of the adaptability index, the robustness index, the restorability index and the rapidity index; Step S503, a Lagrange function is adopted to combine the subjective weight of the analytic hierarchy process with the objective weight of the entropy weight process, so as to determine the weight factors of the adaptability index, the robustness index, the restorability index and the rapidity index; step S504, taking the adaptability index, the robustness index, the restorability index and the rapidity index in the scene to be evaluated as inputs, and calculating the comprehensive toughness score in the scene to be evaluated by combining the weight factors of the indexes The expression is: Wherein, the 、、 And Weight factors of an adaptability index, a robustness index, a restorability index and a rapidity index respectively; And further obtaining the toughness grade corresponding to the comprehensive toughness score.

Description

Drill jumbo toughness assessment method based on personalized customization and environmental disturbance Technical Field The invention relates to the technical field of toughness assessment of a drilling jumbo, in particular to a drilling jumbo toughness assessment method based on personalized customization and environmental disturbance. Background The drill jumbo is used as key core equipment for drilling and blasting construction of engineering machinery, is a guarantee for realizing intelligent, accurate, efficient and safe tunnel excavation, and the technical performance of the drill jumbo directly determines the excavation efficiency, construction quality and safety of operators of tunnel engineering. Along with the diversification and individuation development of user demands, the production enterprises of the drilling jumbo are required to improve the individuation customization and toughness capability of products, and more emphasis is placed on providing individuation services so as to adapt to working condition environments such as high ground stress, high ground temperature, high osmotic pressure, complex geology and the like and enhance the agile response capability of the drilling jumbo. How to give better fault tolerance and correction space to the drilling jumbo through the design and reduce the influence of complex disturbance on the product functions so as to improve the toughness of the drilling jumbo under the environment disturbance and personalized customization demand change scene is a technical problem which needs to be solved by the technicians in the field. Disclosure of Invention The invention aims to provide a method for evaluating the toughness of a drill jumbo based on personalized customization and environmental disturbance, so as to improve the toughness of the drill jumbo under the conditions of environmental disturbance and personalized customization demand change. A drill jumbo toughness assessment method based on personalized customization and environmental disturbance comprises the following steps: Step S1, constructing a personalized demand library and an environment disturbance library, wherein the personalized demand library comprises a driving unit type, drilling capability demand parameters, operation efficiency demand parameters and functional adaptability parameters, and the environment disturbance library comprises rock mass parameters and environment parameters; S2, analyzing the functional, structural and physical connection association relation among components in the drilling trolley, respectively constructing a forward propagation network of the demand change and a reverse feedback network of the environmental disturbance and a propagation network of the demand change and the environmental disturbance, and identifying components and paths of the demand change and the environmental disturbance which are affected by the co-propagation; Step S3, respectively setting a first scene of environment disturbance evaluation, a second scene of personalized customization demand change evaluation, an environment disturbance and a third scene of personalized customization demand change evaluation when the environment disturbance and the personalized customization demand change are simultaneously acted, wherein the first scene is used for analyzing the influence on the performance of the drill jumbo after the environment disturbance event occurs by at least one environment disturbance event selected from the environment disturbance library, the second scene is used for analyzing the influence on the performance of the drill jumbo after the demand change occurs by at least one requirement change selected from the personalized demand library, and the third scene is used for analyzing the influence on the performance of the drill jumbo after the demand change and the environment disturbance event commonly occur by at least one environment disturbance event selected from the environment disturbance library and at least one requirement change selected from the personalized demand library based on the identified components and paths; Step S4, a toughness assessment index system of the drill jumbo is established, wherein the toughness assessment index system comprises an adaptability index for representing the capability of the system to maintain the function requirement when the system is subjected to various expected environmental factors during service, a robustness index for representing the capability of the system to ensure that the quality performance index of the system is stable within an allowable range under the condition of environmental disturbance, a restorability index for representing the capability and efficiency of the system to restore original operation from faults, and a rapidity index for representing the capability of the system to quickly restore to expected performance through restoration after the structure is damaged when the system is subjected to the