A method and system for managing maintenance of a surface mining plant

Abstract

The present application relates to the technical field of equipment overhaul management, and discloses a kind of open pit mining equipment's overhaul management method and system, method includes: based on time period acquisition open pit mining equipment's vibration operating parameter;Periodic variation analysis is carried out to the vibration operating parameter of each time period, and the abnormal variation value of open pit mining equipment in each time period is calculated;Curve fitting is carried out to all abnormal variation values, and the abnormal variation value curve is obtained, and the abnormal variation value curve is processed, and the operating abnormal coefficient of open pit mining equipment is calculated;According to the relationship between operating abnormal coefficient and preset operating abnormal coefficient, it is judged whether open pit mining equipment needs to be overhauled and managed, can deeply fuse the overhaul management method of vibration parameter time sequence analysis, dynamic abnormality quantitative evaluation and intelligent decision-making judgment, to realize the abnormal fault accurate identification and accurate overhaul of open pit mining equipment fault, so as to improve equipment reliability, reduce maintenance cost, and guarantee mine safety production.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment maintenance management, and in particular to a maintenance management method and system for open-pit mining equipment. Background Art

[0002] As core equipment in mining operations, the operating status of open-pit mining equipment directly impacts a mine's production efficiency, safety, and economic returns. Due to the long-term, high-intensity, and harsh operating conditions under which open-pit mining equipment operates, key components can easily degrade and even experience unexpected failures. Failures can not only cause equipment downtime and production interruptions, but can also lead to major safety incidents, resulting in significant economic losses and the risk of casualties.

[0003] Traditional maintenance management for open-pit mining equipment primarily relies on scheduled maintenance or a single threshold judgment approach. Scheduled maintenance is performed based on fixed time periods, lacking accurate assessment of the equipment's actual operating status and prone to over- or under-maintenance. Fixed maintenance cycles make it difficult to identify potential faults in open-pit mining equipment, potentially missing optimal repair opportunities. A single threshold judgment approach fails to effectively capture the temporal variations and periodic patterns of operating parameters in open-pit mining equipment, resulting in inaccurate and timely abnormal fault warnings, prone to misjudgments, and unable to adapt to the complex and changing operating conditions of open-pit mining equipment. Summary of the Invention

[0004] The embodiments of the present invention provide a maintenance management method and system for open-pit mining equipment, which can deeply integrate the maintenance management method of vibration parameter time series analysis, dynamic abnormality quantitative evaluation and intelligent decision-making and judgment to achieve accurate identification and precise maintenance of abnormal faults of open-pit mining equipment, thereby improving equipment reliability, reducing maintenance costs, and ensuring safe production in mines.

[0005] In order to achieve the above-mentioned object, the present invention provides a maintenance management method for open-pit mining equipment, comprising:

[0006] Presetting a plurality of time periods, and collecting vibration operating parameters of the open-pit mining equipment based on the time periods, wherein each time period includes a plurality of time nodes, and each time node corresponds to a vibration operating parameter;

[0007] Performing a periodic variation analysis on the vibration operating parameters corresponding to each time period, and calculating an abnormal variation value corresponding to each time period of the open-pit mining equipment based on the analysis results;

[0008] Performing curve fitting on all abnormal variation values ​​to obtain an abnormal variation value curve, processing the abnormal variation value curve, and calculating an operation abnormality coefficient of the open-pit mining equipment based on the processing result;

[0009] A preset operation abnormality coefficient is set in advance, and whether maintenance management of the open-pit mining equipment is required is determined based on the relationship between the operation abnormality coefficient and the preset operation abnormality coefficient.

[0010] Furthermore, when performing periodic variation analysis on the vibration operating parameters corresponding to each time period and calculating the abnormal variation value corresponding to each time period of the open-pit mining equipment based on the analysis result, the method includes:

[0011] Determine the parameter extreme value point corresponding to each time period according to the vibration operation parameter, and use each parameter extreme value point as a characteristic vibration operation parameter;

[0012] Calculate the abnormal fluctuation factor corresponding to each characteristic vibration operating parameter based on the changes of all characteristic vibration operating parameters;

[0013] An abnormal variation value corresponding to each time period of the open-pit mining equipment is calculated based on all abnormal fluctuation factors.

[0014] Furthermore, when calculating the abnormal fluctuation factor corresponding to each characteristic vibration operating parameter based on the changes of all characteristic vibration operating parameters, it includes:

[0015] Randomly extract a characteristic vibration operating parameter from the time period as a standard characteristic vibration operating parameter;

[0016] Calculating a parameter mean of all characteristic vibration operating parameters in the time period, and determining a first absolute value of a difference between the standard characteristic vibration operating parameter and the parameter mean as a mutation coefficient;

[0017] Determining a left characteristic vibration operating parameter and a right characteristic vibration operating parameter of the standard characteristic vibration operating parameter;

[0018] calculating a second absolute value of a difference between the standard characteristic vibration operating parameter and the left characteristic vibration operating parameter, and calculating a third absolute value of a difference between the standard characteristic vibration operating parameter and the right characteristic vibration operating parameter;

[0019] taking the sum of the absolute value of the second difference and the absolute value of the third difference as a coefficient of variation;

[0020] Determine a standard time node corresponding to the standard characteristic vibration operating parameter, determine a left time node corresponding to the left characteristic vibration operating parameter, and determine a right time node corresponding to the right characteristic vibration operating parameter;

[0021] The time interval between the standard time node and the left time node is used as the first time coefficient, and the time interval between the standard time node and the right time node is used as the second time coefficient;

[0022] An abnormal fluctuation factor of the standard characteristic vibration operating parameter is calculated based on the mutation coefficient, the variation coefficient, the first time coefficient, and the second time coefficient.

[0023] Furthermore, when calculating the abnormal fluctuation factor of the standard characteristic vibration operating parameter based on the mutation coefficient, the variation coefficient, the first time coefficient, and the second time coefficient, the method includes:

[0024] The abnormal fluctuation factor of the standard characteristic vibration operating parameter is calculated according to the following formula:

[0025] ;

[0026] Among them, s is the abnormal fluctuation factor of the standard characteristic vibration operating parameter, a is the mutation coefficient, b is the variation coefficient, f1 is the second time coefficient, and f1 is the first time coefficient.

[0027] Furthermore, when calculating the abnormal variation value corresponding to the open-pit mining equipment in each time period based on all abnormal fluctuation factors, the method includes:

[0028] Extracting the same abnormal fluctuation factors from the abnormal fluctuation factors and obtaining multiple sets of the same abnormal fluctuation factors;

[0029] Counting the number of the first abnormal fluctuation factor set of the abnormal fluctuation factor set;

[0030] Extracting one abnormal fluctuation factor from each set of all abnormal fluctuation factors, and calculating the sum of the first abnormal fluctuation factors;

[0031] Determine the factor means corresponding to all abnormal volatility factors, eliminate all abnormal volatility factor sets with values ​​less than the factor means, and count the number of second abnormal volatility factor sets in the remaining abnormal volatility factor sets;

[0032] Extracting one abnormal volatility factor from each of the remaining abnormal volatility factor sets and calculating a second abnormal volatility factor and value;

[0033] The abnormal variation value corresponding to the open-pit mining equipment in each time period is calculated according to the number of the first abnormal fluctuation factor sets, the number of the second abnormal fluctuation factor sets, the first abnormal fluctuation factor sum value, and the second abnormal fluctuation factor sum value.

[0034] Furthermore, when curve fitting is performed on all abnormal change values ​​to obtain an abnormal change value curve, the following steps are included:

[0035] Numbering all abnormal change values ​​based on the time period sequence, wherein the numbers are 1, 2, 3, ..., n, where n represents the number of abnormal change values;

[0036] The number corresponding to each abnormal change value is used as the horizontal coordinate, and each abnormal change value is used as the vertical coordinate, and the abnormal change value curve is constructed based on the least square method.

[0037] Furthermore, when processing the abnormal variation value curve and calculating the operation abnormality coefficient of the open-pit mining equipment based on the processing result, the method includes:

[0038] determining a first-order derivative and a second-order derivative of the abnormal variation value curve;

[0039] Extract all curve fitting points whose first-order derivatives are zero, and extract the corresponding abnormal change values ​​to generate a first abnormal change value sequence;

[0040] Extract all curve fitting points whose second-order derivatives are zero, and extract the corresponding abnormal change values ​​to generate a second abnormal change value sequence;

[0041] Calculating a first sequence deviation value of the first abnormal change value sequence, and calculating a second sequence deviation value of the second abnormal change value sequence;

[0042] The sum of the first sequence deviation value and the second sequence deviation value is used as the operation abnormality coefficient of the open-pit mining equipment.

[0043] Furthermore, when calculating the first sequence deviation value of the first abnormal change value sequence, it includes:

[0044] The first sequence deviation value of the first abnormal change value sequence is calculated according to the following formula:

[0045] ;

[0046] Among them, h is the first sequence deviation value of the first abnormal change value sequence, m is the number of abnormal change values ​​in the first abnormal change value sequence, q j is the jth abnormal change value in the first abnormal change value sequence, q j+1 is the j+1th abnormal change value in the first abnormal change value sequence;

[0047] The second sequence deviation value of the second abnormal change value sequence is calculated according to the following formula:

[0048] ;

[0049] Where h2 is the second sequence deviation value of the second abnormal change value sequence, p is the number of abnormal change values ​​in the second abnormal change value sequence, t i is the ith abnormal change value in the second abnormal change value sequence, t i+1 It is the i+1th abnormal change value in the second abnormal change value sequence.

[0050] Furthermore, when judging whether it is necessary to perform maintenance management on the open-pit mining equipment based on the relationship between the operation abnormality coefficient and the preset operation abnormality coefficient, the method includes:

[0051] When the operation abnormality coefficient is less than the preset operation abnormality coefficient, it is determined that the open-pit mining equipment does not need to be repaired and managed;

[0052] When the operation abnormality coefficient is greater than or equal to the preset operation abnormality coefficient, it is determined that the open-pit mining equipment needs to be repaired and managed.

[0053] In order to achieve the above-mentioned object, the present invention further provides a maintenance management system for open-pit mining equipment, comprising:

[0054] a parameter acquisition module, configured to pre-set a plurality of time periods and collect vibration operating parameters of the open-pit mining equipment based on the time periods, wherein each time period includes a plurality of time nodes, and each time node corresponds to a vibration operating parameter;

[0055] a first calculation module, configured to perform a periodic variation analysis on the vibration operating parameters corresponding to each time period, and calculate an abnormal variation value corresponding to each time period of the open-pit mining equipment based on the analysis result;

[0056] a second calculation module, configured to perform curve fitting on all abnormal variation values ​​to obtain an abnormal variation value curve, process the abnormal variation value curve, and calculate an operation abnormality coefficient of the open-pit mining equipment based on the processing result;

[0057] The maintenance management module is used to pre-set a preset operation abnormality coefficient and determine whether maintenance management of the open-pit mining equipment is required based on the relationship between the operation abnormality coefficient and the preset operation abnormality coefficient.

[0058] Compared with the prior art, the present invention has the following beneficial effects:

[0059] The present invention discloses a maintenance management method and system for open-pit mining equipment, the method comprising: collecting vibration operating parameters of the open-pit mining equipment based on time periods; performing periodic variation analysis on the vibration operating parameters corresponding to each time period, and calculating abnormal variation values ​​corresponding to each time period for the open-pit mining equipment; performing curve fitting on all abnormal variation values ​​to obtain an abnormal variation value curve, processing the abnormal variation value curve, and calculating an operation abnormality coefficient of the open-pit mining equipment; judging whether maintenance management of the open-pit mining equipment is required based on a relationship between the operation abnormality coefficient and a preset operation abnormality coefficient, and a maintenance management method that can deeply integrate vibration parameter time series analysis, dynamic abnormality quantitative evaluation, and intelligent decision-making judgment to achieve accurate identification and accurate maintenance of abnormal faults of the open-pit mining equipment, thereby improving equipment reliability, reducing maintenance costs, and ensuring safe production in mines. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present invention. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0061] Figure 1 A schematic flow chart of a maintenance management method for open-pit mining equipment according to an embodiment of the present invention is shown;

[0062] Figure 2 A schematic structural diagram of a maintenance management system for open-pit mining equipment according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0063] The following embodiments of the present invention are described in further detail with reference to the accompanying drawings and examples. The following embodiments are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0064] In the description of this application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on this application.

[0065] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature specified as "first" or "second" may explicitly or implicitly include one or more of such features. Throughout this application, unless otherwise specified, "plurality" means two or more.

[0066] In the description of this application, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in this application based on the specific circumstances.

[0067] The following is a description of preferred embodiments of the present invention with reference to the accompanying drawings.

[0068] like Figure 1 As shown, an embodiment of the present invention discloses a maintenance management method for open-pit mining equipment, comprising:

[0069] S110: Preset multiple time periods, and collect vibration operating parameters of the open-pit mining equipment based on the time periods, wherein each time period includes multiple time nodes, and each time node corresponds to a vibration operating parameter;

[0070] In this embodiment, the time periods are pre-set, and the number of time periods is preferably 20, which can be adaptively adjusted according to actual conditions, such as the time period from the 1st second to the 10th second, the 11th second to the 20th second, the 21st second to the 30th second, etc., which are not listed here one by one.

[0071] In this embodiment, multiple corresponding time nodes are set in each time period. For example, the time nodes corresponding to the 1st second to the 10th second are the 1st second, 2nd second, 3rd second, 4th second, 5th second, 6th second, 7th second, 8th second, 9th second, and 10th second. The time nodes of the remaining time periods are no longer shown one by one and can be set according to actual conditions.

[0072] In this embodiment, the vibration operating parameter is the vibration frequency, that is, the number of vibration cycles per second. For example, the open-pit mining equipment completes 10 complete vibrations per second, and the vibration operating parameter is 10 Hz.

[0073] In this embodiment, the open-pit mining equipment is open-pit mining drilling equipment.

[0074] S120: performing a periodic variation analysis on the vibration operating parameters corresponding to each time period, and calculating an abnormal variation value corresponding to each time period of the open-pit mining equipment based on the analysis result;

[0075] In some embodiments of the present application, when performing periodic variation analysis on the vibration operating parameters corresponding to each time period and calculating the abnormal variation value corresponding to each time period of the open-pit mining equipment based on the analysis results, the method includes:

[0076] Determine the parameter extreme value point corresponding to each time period according to the vibration operation parameter, and use each parameter extreme value point as a characteristic vibration operation parameter;

[0077] Calculate the abnormal fluctuation factor corresponding to each characteristic vibration operating parameter based on the changes of all characteristic vibration operating parameters;

[0078] An abnormal variation value corresponding to each time period of the open-pit mining equipment is calculated based on all abnormal fluctuation factors.

[0079] In this embodiment, the extreme value refers to a peak value or a valley value reached in a local range in the sequence, and the vibration operating parameter corresponding to the extreme value is regarded as the parameter extreme value point.

[0080] In some embodiments of the present application, when calculating the abnormal fluctuation factor corresponding to each characteristic vibration operating parameter based on changes in all characteristic vibration operating parameters, the process includes:

[0081] Randomly extract a characteristic vibration operating parameter from the time period as a standard characteristic vibration operating parameter;

[0082] Calculating a parameter mean of all characteristic vibration operating parameters in the time period, and determining a first absolute value of a difference between the standard characteristic vibration operating parameter and the parameter mean as a mutation coefficient;

[0083] Determining a left characteristic vibration operating parameter and a right characteristic vibration operating parameter of the standard characteristic vibration operating parameter;

[0084] calculating a second absolute value of a difference between the standard characteristic vibration operating parameter and the left characteristic vibration operating parameter, and calculating a third absolute value of a difference between the standard characteristic vibration operating parameter and the right characteristic vibration operating parameter;

[0085] taking the sum of the absolute value of the second difference and the absolute value of the third difference as a coefficient of variation;

[0086] Determine a standard time node corresponding to the standard characteristic vibration operating parameter, determine a left time node corresponding to the left characteristic vibration operating parameter, and determine a right time node corresponding to the right characteristic vibration operating parameter;

[0087] The time interval between the standard time node and the left time node is used as the first time coefficient, and the time interval between the standard time node and the right time node is used as the second time coefficient;

[0088] An abnormal fluctuation factor of the standard characteristic vibration operating parameter is calculated based on the mutation coefficient, the variation coefficient, the first time coefficient, and the second time coefficient.

[0089] In this embodiment, in order to avoid errors, when randomly selecting a characteristic vibration operating parameter, it is first determined whether this characteristic vibration operating parameter corresponds to the initial time node or the final time node. If so, it is not selected. The characteristic vibration operating parameter corresponding to the initial time node does not have the left vibration operating parameter, and the characteristic vibration operating parameter corresponding to the final time node does not have the right vibration operating parameter, which can easily cause errors.

[0090] In this embodiment, when calculating the parameter mean of all characteristic vibration operating parameters in a time period, the characteristic vibration operating parameters corresponding to the initial time segment or the final time segment are not included in the calculation.

[0091] In this embodiment, the left characteristic vibration operating parameter refers to a left characteristic vibration operating parameter that is closest to the standard characteristic vibration operating parameter, and the right characteristic vibration operating parameter refers to a right characteristic vibration operating parameter that is closest to the standard characteristic vibration operating parameter. The specific degree of similarity can be determined according to the time section.

[0092] In this embodiment, the time interval can be determined according to two time nodes, such as the 3rd second and the 7th second, and the corresponding time interval is 4 seconds.

[0093] The beneficial effects of the above technical solution are as follows: the present invention calculates the abnormal fluctuation factor of the standard characteristic vibration operating parameter based on the mutation coefficient, the variation coefficient, the first time coefficient and the second time coefficient. The mutation coefficient can be used to feedback the overall discrete change of the standard characteristic vibration operating parameter, the variation coefficient can be used to feedback the adjacent change of the standard characteristic vibration operating parameter, and the time coefficient can be used to feedback the time series change of the standard characteristic vibration operating parameter. The vibration influence of time change on the open-pit mining equipment is comprehensively considered, and the change of the vibration operating parameter is also considered. The abnormal fluctuation factor can effectively feedback the abnormal fluctuation of the open-pit mining equipment, laying a foundation for the discovery of abnormal faults of the open-pit mining equipment.

[0094] In some embodiments of the present application, when calculating the abnormal fluctuation factor of the standard characteristic vibration operating parameter based on the mutation coefficient, the variation coefficient, the first time coefficient, and the second time coefficient, the method includes:

[0095] The abnormal fluctuation factor of the standard characteristic vibration operating parameter is calculated according to the following formula:

[0096] ;

[0097] Among them, s is the abnormal fluctuation factor of the standard characteristic vibration operating parameter, a is the mutation coefficient, b is the variation coefficient, f1 is the second time coefficient, and f1 is the first time coefficient.

[0098] In some embodiments of the present application, when calculating the abnormal variation value corresponding to each time period of the open-pit mining equipment based on all abnormal fluctuation factors, the method includes:

[0099] Extracting the same abnormal fluctuation factors from the abnormal fluctuation factors and obtaining multiple sets of the same abnormal fluctuation factors;

[0100] Counting the number of the first abnormal fluctuation factor set of the abnormal fluctuation factor set;

[0101] Extracting one abnormal fluctuation factor from each set of all abnormal fluctuation factors, and calculating the sum of the first abnormal fluctuation factors;

[0102] Determine the factor means corresponding to all abnormal volatility factors, eliminate all abnormal volatility factor sets with values ​​less than the factor means, and count the number of second abnormal volatility factor sets in the remaining abnormal volatility factor sets;

[0103] Extracting one abnormal volatility factor from each of the remaining abnormal volatility factor sets and calculating a second abnormal volatility factor and value;

[0104] The abnormal variation value corresponding to the open-pit mining equipment in each time period is calculated according to the number of the first abnormal fluctuation factor sets, the number of the second abnormal fluctuation factor sets, the first abnormal fluctuation factor sum value, and the second abnormal fluctuation factor sum value.

[0105] In this embodiment, the abnormal fluctuation factors in each abnormal fluctuation factor set are the same.

[0106] In this embodiment, the abnormal change value corresponding to each time period of the open-pit mining equipment is calculated according to the following formula:

[0107] ;

[0108] Among them, p is the abnormal change value corresponding to the open-pit mining equipment in each time period, i1 is the number of the first abnormal fluctuation factor set, i2 is the number of the second abnormal fluctuation factor set, u1 is the sum of the first abnormal fluctuation factor, and u2 is the sum of the second abnormal fluctuation factor.

[0109] The beneficial effects of the above technical solutions are: the abnormal fluctuation value corresponding to each time period of the strip mining equipment is calculated according to the first abnormal fluctuation factor set quantity, the second abnormal fluctuation factor set quantity, the first abnormal fluctuation factor sum and the second abnormal fluctuation factor sum, the calculation accuracy and efficiency of the abnormal fluctuation value are ensured, the abnormal fluctuation value can fuse multiple time sequence changes and vibration operation parameter changes, further reliable technical support is provided for the abnormal fault of the strip mining equipment, the vibration change state of the strip mining equipment is represented, and the accuracy of the maintenance management is ensured.

[0110] In S130, curve fitting is performed on all the abnormal fluctuation values to obtain an abnormal fluctuation value curve, and the abnormal fluctuation value curve is processed, and an operation abnormality coefficient of the strip mining equipment is calculated based on a processing result.

[0111] In some embodiments of the present application, when the curve fitting is performed on all the abnormal fluctuation values to obtain the abnormal fluctuation value curve, the following steps are included:

[0112] All the abnormal fluctuation values are numbered in sequence based on time periods, and the numbers are 1, 2, 3, …, n, where n represents the number of abnormal fluctuation values.

[0113] The number corresponding to each abnormal fluctuation value is taken as the abscissa, each abnormal fluctuation value is taken as the ordinate, and the abnormal fluctuation value curve is constructed based on the least square method.

[0114] In this embodiment, one curve fitting point can be determined according to one number and one abnormal fluctuation value.

[0115] In some embodiments of the present application, when the abnormal fluctuation value curve is processed, and the operation abnormality coefficient of the strip mining equipment is calculated based on a processing result, the following steps are included:

[0116] The first derivative and the second derivative of the abnormal fluctuation value curve are determined.

[0117] All the curve fitting points with the first derivative of zero are extracted, and the corresponding abnormal fluctuation values are extracted to generate a first abnormal fluctuation value sequence.

[0118] All the curve fitting points with the second derivative of zero are extracted, and the corresponding abnormal fluctuation values are extracted to generate a second abnormal fluctuation value sequence.

[0119] A first sequence anomaly value of the first abnormal fluctuation value sequence is calculated, and a second sequence anomaly value of the second abnormal fluctuation value sequence is calculated.

[0120] The sum of the first sequence anomaly value and the second sequence anomaly value is taken as the operation abnormality coefficient of the strip mining equipment.

[0121] In this embodiment, the determination process of the first derivative and the second derivative is mature, and will not be introduced too much.

[0122] The beneficial effects of the above technical solutions are: calculating a first sequence deviant value of the first abnormal variation value sequence, the first sequence deviant value can feedback the data change degree of the first abnormal variation value sequence, calculating a second sequence deviant value of the second abnormal variation value sequence, the second sequence deviant value can feedback the data change degree of the second abnormal variation value sequence, taking the sum value of the first sequence deviant value and the second sequence deviant value as the running abnormal coefficient of the strip mining equipment, and then judging whether the strip mining equipment is abnormal through the running abnormal coefficient, thereby ensuring the accuracy and comprehensiveness of the abnormal fault judgment of the strip mining equipment, and avoiding the singleness and limitation of the abnormal fault judgment.

[0123] In some embodiments of the present application, when calculating the first sequence deviant value of the first abnormal variation value sequence, it includes:

[0124] The first sequence deviant value of the first abnormal variation value sequence is calculated according to the following formula:

[0125] ;

[0126] Wherein, h is the first sequence deviant value of the first abnormal variation value sequence, m is the number of abnormal variation values in the first abnormal variation value sequence, q j is the jth abnormal variation value in the first abnormal variation value sequence, q j+1 is the j+1th abnormal variation value in the first abnormal variation value sequence.

[0127] The second sequence deviant value of the second abnormal variation value sequence is calculated according to the following formula:

[0128] ;

[0129] Wherein, h2 is the second sequence deviant value of the second abnormal variation value sequence, p is the number of abnormal variation values in the second abnormal variation value sequence, t i is the ith abnormal variation value in the second abnormal variation value sequence, t i+1 is the i+1th abnormal variation value in the second abnormal variation value sequence.

[0130] S140: A preset running abnormal coefficient is preset, and whether the strip mining equipment needs to be overhauled is judged according to the relationship between the running abnormal coefficient and the preset running abnormal coefficient.

[0131] In some embodiments of the present application, when judging whether the strip mining equipment needs to be overhauled according to the relationship between the running abnormal coefficient and the preset running abnormal coefficient, it includes:

[0132] When the operation abnormality coefficient is less than the preset operation abnormality coefficient, it is determined that the open-pit mining equipment does not need to be repaired and managed;

[0133] When the operation abnormality coefficient is greater than or equal to the preset operation abnormality coefficient, it is determined that the open-pit mining equipment needs to be repaired and managed.

[0134] In this embodiment, the preset operation abnormality coefficient is preferably 8, and can be adaptively adjusted according to actual conditions.

[0135] The beneficial effect of the above technical solution is: the present invention determines whether it is necessary to perform maintenance management on the open-pit mining equipment based on the relationship between the operation abnormality coefficient and the preset operation abnormality coefficient, thereby ensuring the real-time judgment of abnormal faults and avoiding the lag of judgment, thereby realizing the accurate identification and accurate maintenance of abnormal faults of open-pit mining equipment, thereby improving equipment reliability, reducing maintenance costs, and ensuring safe production in mines.

[0136] In order to further illustrate the technical idea of ​​the present invention, the technical solution of the present invention is now described in combination with specific application scenarios.

[0137] Correspondingly, such as Figure 2 As shown, the present application also provides a maintenance management system for open-pit mining equipment, comprising:

[0138] a parameter acquisition module, configured to pre-set a plurality of time periods and collect vibration operating parameters of the open-pit mining equipment based on the time periods, wherein each time period includes a plurality of time nodes, and each time node corresponds to a vibration operating parameter;

[0139] a first calculation module, configured to perform a periodic variation analysis on the vibration operating parameters corresponding to each time period, and calculate an abnormal variation value corresponding to each time period of the open-pit mining equipment based on the analysis result;

[0140] a second calculation module, configured to perform curve fitting on all abnormal variation values ​​to obtain an abnormal variation value curve, process the abnormal variation value curve, and calculate an operation abnormality coefficient of the open-pit mining equipment based on the processing result;

[0141] The maintenance management module is used to pre-set a preset operation abnormality coefficient and determine whether maintenance management of the open-pit mining equipment is required based on the relationship between the operation abnormality coefficient and the preset operation abnormality coefficient.

[0142] In the description of the above embodiments, specific features, structures, materials or characteristics may be combined in an appropriate manner in any one or more embodiments or examples.

[0143] Although the present application has been described with reference to the above embodiments, various modifications can be made to the application and equivalents thereof without departing from the scope of the application. In particular, features of the disclosed embodiments can be used in any combination without departing from the scope of the application, and the description of the various embodiments does not imply that the combinations of features are not combinable unless the description states that a combination is not possible. The description of the various embodiments is not meant to limit the application but merely to provide examples of the application.

[0144] It is to be understood that the above description is intended to be illustrative and not restrictive. Many other embodiments will be apparent to those of skill in the art upon reading the above description. The scope of the application should, therefore, be determined not with reference to the above description, but instead with reference to the appended claims, along with their full scope of equivalents.

Claims

1. A maintenance management method for open-pit mining equipment, characterized in that: include: Presetting a plurality of time periods, and collecting vibration operating parameters of the open-pit mining equipment based on the time periods, wherein each time period includes a plurality of time nodes, and each time node corresponds to a vibration operating parameter; Performing a periodic variation analysis on the vibration operating parameters corresponding to each time period, and calculating an abnormal variation value corresponding to each time period of the open-pit mining equipment based on the analysis results; Performing curve fitting on all abnormal variation values ​​to obtain an abnormal variation value curve, processing the abnormal variation value curve, and calculating an operation abnormality coefficient of the open-pit mining equipment based on the processing result; Presetting a preset operation abnormality coefficient, and judging whether it is necessary to perform maintenance management on the open-pit mining equipment according to the relationship between the operation abnormality coefficient and the preset operation abnormality coefficient; When performing periodic variation analysis on the vibration operating parameters corresponding to each time period and calculating the abnormal variation value corresponding to each time period of the open-pit mining equipment based on the analysis result, the method includes: Determine the parameter extreme value point corresponding to each time period according to the vibration operation parameter, and use each parameter extreme value point as a characteristic vibration operation parameter; Calculate the abnormal fluctuation factor corresponding to each characteristic vibration operating parameter based on the changes of all characteristic vibration operating parameters; Calculating the abnormal variation value corresponding to each time period of the open-pit mining equipment based on all abnormal fluctuation factors; When calculating the abnormal fluctuation factor corresponding to each characteristic vibration operating parameter based on the changes in all characteristic vibration operating parameters, it includes: Randomly extract a characteristic vibration operating parameter from the time period as a standard characteristic vibration operating parameter; Calculating a parameter mean of all characteristic vibration operating parameters in the time period, and determining a first absolute value of a difference between the standard characteristic vibration operating parameter and the parameter mean as a mutation coefficient; Determining a left characteristic vibration operating parameter and a right characteristic vibration operating parameter of the standard characteristic vibration operating parameter; calculating a second absolute value of a difference between the standard characteristic vibration operating parameter and the left characteristic vibration operating parameter, and calculating a third absolute value of a difference between the standard characteristic vibration operating parameter and the right characteristic vibration operating parameter; taking the sum of the absolute value of the second difference and the absolute value of the third difference as a coefficient of variation; Determine a standard time node corresponding to the standard characteristic vibration operating parameter, determine a left time node corresponding to the left characteristic vibration operating parameter, and determine a right time node corresponding to the right characteristic vibration operating parameter; The time interval between the standard time node and the left time node is used as the first time coefficient, and the time interval between the standard time node and the right time node is used as the second time coefficient; Calculating an abnormal fluctuation factor of the standard characteristic vibration operating parameter based on the mutation coefficient, the variation coefficient, the first time coefficient, and the second time coefficient; When calculating the abnormal fluctuation factor of the standard characteristic vibration operating parameter based on the mutation coefficient, the variation coefficient, the first time coefficient, and the second time coefficient, the method includes: The abnormal fluctuation factor of the standard characteristic vibration operating parameter is calculated according to the following formula: ； Among them, s is the abnormal fluctuation factor of the standard characteristic vibration operating parameter, a is the mutation coefficient, d is the variation coefficient, f1 is the second time coefficient, and f1 is the first time coefficient.

2. The maintenance management method for open-pit mining equipment according to claim 1, characterized in that: When calculating the abnormal variation value corresponding to each time period of the open-pit mining equipment based on all abnormal fluctuation factors, it includes: Extracting the same abnormal fluctuation factors from the abnormal fluctuation factors and obtaining multiple sets of the same abnormal fluctuation factors; Counting the number of the first abnormal fluctuation factor set of the abnormal fluctuation factor set; Extracting one abnormal fluctuation factor from each set of all abnormal fluctuation factors, and calculating the sum of the first abnormal fluctuation factors; Determine the factor means corresponding to all abnormal volatility factors, eliminate all abnormal volatility factor sets with values ​​less than the factor means, and count the number of second abnormal volatility factor sets in the remaining abnormal volatility factor sets; Extracting one abnormal volatility factor from each of the remaining abnormal volatility factor sets and calculating a second abnormal volatility factor and value; The abnormal variation value corresponding to the open-pit mining equipment in each time period is calculated according to the number of the first abnormal fluctuation factor sets, the number of the second abnormal fluctuation factor sets, the first abnormal fluctuation factor sum value, and the second abnormal fluctuation factor sum value.

3. The maintenance management method for open-pit mining equipment according to claim 1, characterized in that: When performing curve fitting on all abnormal change values ​​to obtain an abnormal change value curve, it includes: Numbering all abnormal change values ​​based on the time period sequence, wherein the numbers are 1, 2, 3, ..., n, where n represents the number of abnormal change values; The number corresponding to each abnormal change value is used as the horizontal coordinate, and each abnormal change value is used as the vertical coordinate, and the abnormal change value curve is constructed based on the least square method.

4. The maintenance management method for open-pit mining equipment according to claim 1, characterized in that: When processing the abnormal variation value curve and calculating the operation abnormality coefficient of the open-pit mining equipment based on the processing result, the method includes: determining a first-order derivative and a second-order derivative of the abnormal variation value curve; Extract all curve fitting points whose first-order derivatives are zero, and extract the corresponding abnormal change values ​​to generate a first abnormal change value sequence; Extract all curve fitting points whose second-order derivatives are zero, and extract the corresponding abnormal change values ​​to generate a second abnormal change value sequence; Calculating a first sequence deviation value of the first abnormal change value sequence, and calculating a second sequence deviation value of the second abnormal change value sequence; The sum of the first sequence deviation value and the second sequence deviation value is used as the operation abnormality coefficient of the open-pit mining equipment.

5. The maintenance management method for open-pit mining equipment according to claim 4, characterized in that: When calculating the first sequence deviation value of the first abnormal change value sequence, it includes: The first sequence deviation value of the first abnormal change value sequence is calculated according to the following formula: ； Among them, h is the first sequence deviation value of the first abnormal change value sequence, m is the number of abnormal change values ​​in the first abnormal change value sequence, q j is the jth abnormal change value in the first abnormal change value sequence, q j+1 is the j+1th abnormal change value in the first abnormal change value sequence; The second sequence deviation value of the second abnormal change value sequence is calculated according to the following formula: ； Where h2 is the second sequence deviation value of the second abnormal change value sequence, p is the number of abnormal change values ​​in the second abnormal change value sequence, t i is the ith abnormal change value in the second abnormal change value sequence, t i+1 It is the i+1th abnormal change value in the second abnormal change value sequence.

6. The maintenance management method for open-pit mining equipment according to claim 1, characterized in that: When judging whether it is necessary to perform maintenance management on the open-pit mining equipment according to the relationship between the operation abnormality coefficient and the preset operation abnormality coefficient, the method includes: When the operation abnormality coefficient is less than the preset operation abnormality coefficient, it is determined that the open-pit mining equipment does not need to be repaired and managed; When the operation abnormality coefficient is greater than or equal to the preset operation abnormality coefficient, it is determined that the open-pit mining equipment needs to be repaired and managed.

7. A maintenance management system for open-pit mining equipment, applied to the maintenance management method for open-pit mining equipment according to any one of claims 1 to 6, characterized in that: include: a parameter acquisition module, configured to pre-set a plurality of time periods and collect vibration operating parameters of the open-pit mining equipment based on the time periods, wherein each time period includes a plurality of time nodes, and each time node corresponds to a vibration operating parameter; a first calculation module, configured to perform a periodic variation analysis on the vibration operating parameters corresponding to each time period, and calculate an abnormal variation value corresponding to each time period of the open-pit mining equipment based on the analysis result; a second calculation module, configured to perform curve fitting on all abnormal variation values ​​to obtain an abnormal variation value curve, process the abnormal variation value curve, and calculate an operation abnormality coefficient of the open-pit mining equipment based on the processing result; The maintenance management module is used to pre-set a preset operation abnormality coefficient and determine whether maintenance management of the open-pit mining equipment is required based on the relationship between the operation abnormality coefficient and the preset operation abnormality coefficient.

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