Method and device for determining spare part number of equipment component, equipment and storage medium

Abstract

The invention discloses a method and device for determining the number of spare parts of equipment parts, equipment and a storage medium, and relates to the technical field of traffic product overhaul, and the method comprises the steps: determining an evaluation period and an overhaul regulation of target equipment; determining a pre-maintenance and replacement number corresponding to each prevention maintenance task executed by the target equipment in the evaluation period based on the maintenance regulations, and determining life distribution characteristic parameters based on working state data, including a plurality of data pairs, of the target equipment; determining an average fault rate of each equipment component based on the life distribution characteristic parameters and the evaluation period, and determining a fault replacement number corresponding to repairable maintenance due to a sudden component fault in the evaluation period based on the average fault rate and a preset spare part confidence level; and determining a spare part number corresponding to each equipment part in the target equipment in the evaluation period based on the preventive maintenance replacement number and the fault replacement number. Therefore, the efficiency of determining the number of equipment part spare parts can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of transportation product maintenance, and in particular to a method, device, equipment and storage medium for determining the number of spare parts of equipment components. Background Art

[0002] At present, determining the number of spare parts is of great significance in the maintenance of rail vehicles, mainly in the following aspects: ensuring operational safety: By reasonably determining the number of spare parts, it is possible to ensure that faulty parts can be quickly replaced when needed, reducing equipment downtime caused by spare parts shortages, thereby ensuring the safety of railway transportation;

[0003] Improve maintenance efficiency: Adequate spare parts inventory can significantly reduce maintenance waiting time. When maintenance personnel are performing vehicle maintenance, if they can immediately find the required spare parts, they can complete the maintenance task faster, reduce vehicle downtime, and improve overall operational efficiency.

[0004] Reduce operating costs: Spare parts procurement and storage costs are part of the maintenance budget. Excessive spare parts inventory increases storage and capital costs, while insufficient inventory can lead to emergency purchases and downtime losses.

[0005] Timely risk management: In rail transit systems, spare parts shortages can lead to prolonged operational disruptions, which is particularly severe in high-density transportation networks. Properly planning spare parts quantities can effectively respond to supply chain disruptions or sudden failures and reduce risks;

[0006] Improve planning capabilities: By analyzing equipment failure history data and maintenance records, we can help formulate reasonable spare parts inventory plans to avoid spare parts shortages or surpluses caused by improper planning;

[0007] Improve service quality: Timely and effective maintenance can significantly improve service quality and reduce delays caused by equipment failures. Ensuring sufficient spare parts can improve maintenance response speed and enhance customer satisfaction;

[0008] Improve the ability to adapt to regulations and standards: By properly determining the number of spare parts, ensure compliance with relevant maintenance standards and regulatory requirements, and avoid legal and operational issues caused by inadequate maintenance;

[0009] Optimize supply chain management: Reasonable planning of spare parts quantity helps optimize supply chain management.

[0010] However, traditional methods for determining spare parts quantities are primarily based on historical estimates of spare parts consumption. This crude approach is prone to either insufficient or excessive quantities. Insufficient spare parts can cause maintenance tasks to be suspended and delayed, while excessive spare parts can lead to a waste of resources.

[0011] As can be seen from the above, how to improve the efficiency of determining the number of spare parts of equipment components in the process of determining the number of spare parts of equipment components is a problem that needs to be solved urgently. Summary of the Invention

[0012] In view of this, the present invention aims to provide a method, apparatus, device, and storage medium for determining the number of spare parts for equipment components, which can improve the efficiency of determining the number of spare parts for equipment components during the process, thereby improving the efficiency of the production process. The specific solution is as follows:

[0013] In a first aspect, the present application provides a method for determining the number of spare parts of an equipment component, comprising:

[0014] Determine an assessment cycle and maintenance procedures corresponding to the target equipment; the maintenance procedures include several preventive maintenance tasks; the preventive maintenance tasks include regular component replacement tasks and regular component inspection tasks;

[0015] Determining, based on the maintenance procedure, the number of preventive maintenance replacements corresponding to each of the preventive maintenance tasks performed on the target equipment during the evaluation period, and determining life distribution characteristic parameters based on operating status data of the target equipment comprising a plurality of data pairs; each of the data pairs comprising a component operating time of a device component and a component operating state corresponding to the component operating time; the component operating state comprising a fault state and a non-fault state; and the life distribution characteristic parameters comprising a shape parameter and a characteristic life parameter of the life distribution of the device component;

[0016] Determine an average failure rate of each of the equipment components based on the life distribution characteristic parameter and the evaluation period, and determine a number of failure replacements corresponding to corrective repairs due to sudden component failures within the evaluation period based on the average failure rate and a confidence level for the pre-equipment components;

[0017] The number of spare parts corresponding to each of the device components in the target device in the evaluation period is determined based on the preventive maintenance replacement number and the failure replacement number.

[0018] Optionally, determining, based on the maintenance procedure, the number of pre-emptive maintenance replacements corresponding to each preventive maintenance task performed on the target device during the evaluation period includes:

[0019] Identifying, based on the maintenance procedure, a task type of a preventive maintenance task corresponding to each device component in the target device, and obtaining a corresponding identification result; wherein the maintenance procedure includes preventive maintenance tasks corresponding to each device component in the target device; each preventive maintenance task corresponds to a different execution period;

[0020] If the identification result indicates that the task type of the preventive maintenance task is the periodic component replacement task, setting the execution period corresponding to the preventive maintenance task as a first maintenance period, and determining a first replacement quantity based on the evaluation period and the first maintenance period;

[0021] If the identification result indicates that the task type of the preventive maintenance task is the periodic component inspection task, setting the execution period corresponding to the preventive maintenance task as the second maintenance period, and determining the total number of component inspections in the historical maintenance data corresponding to the preventive maintenance task;

[0022] Determining an actual number of replacements corresponding to the preventive maintenance task, determining a component replacement probability of the equipment component corresponding to the identification result based on the total number of component inspections and the actual number of replacements, and determining a second replacement quantity based on the evaluation period, the second maintenance period, and the component replacement probability;

[0023] A preliminary maintenance replacement quantity is determined based on the first replacement quantity and the second replacement quantity.

[0024] Optionally, determining the life distribution characteristic parameter based on the operating status data of the target device comprising a plurality of data pairs includes:

[0025] Obtaining the working status data of the target device, counting the number of devices whose component operating status is characterized as a fault state in each of the device components, and obtaining the number of device faults;

[0026] Determining a shape parameter of a life distribution of the equipment component using a Weibull distribution model based on the component operating time, the number of equipment failures, and the number of components of each equipment component in each data pair in the working status data;

[0027] A Weibull distribution model is used to determine characteristic life parameters based on the component operating time, the number of equipment failures, the number of each component and the shape parameters in each data pair in the working status data, so as to determine life distribution characteristic parameters based on the characteristic life parameters.

[0028] Optionally, determining the average failure rate of each of the equipment components based on the life distribution characteristic parameter and the evaluation period, and determining the number of failure replacements corresponding to corrective repairs due to sudden component failures within the evaluation period based on the average failure rate and a pre-equipment component confidence level, includes:

[0029] Determining an average failure rate of the target equipment component based on the shape parameter, the characteristic life parameter, and the evaluation period, and determining a pre-equipment component confidence level based on the number of components; the pre-equipment component confidence level is a probability determined based on daily maintenance requirement conditions corresponding to each of the equipment components;

[0030] Initializing a current number of replacements, and then determining a current cumulative probability sum based on the current number of replacements, the average failure rate, and the number of components using a Poisson distribution formula;

[0031] Determine whether the current cumulative probability sum is less than the pre-equipment component confidence level; if the current cumulative probability sum is not less than the pre-equipment component confidence level, set the current replacement number to the number of failure replacements corresponding to corrective repairs due to sudden component failure within the evaluation period.

[0032] Optionally, after determining whether the current cumulative probability sum is less than the pre-equipment component confidence level, the method further includes:

[0033] If the current cumulative probability sum is less than the pre-equipment component confidence level, the current number of replacements is incremented by one, and the process returns to the step of determining the current cumulative probability sum based on the current number of replacements, the average failure rate, and the number of components using the Poisson distribution formula, until the current cumulative probability sum is no less than the pre-equipment component confidence level;

[0034] The numerical value corresponding to the current cumulative probability sum is positively correlated with the numerical value corresponding to the fault replacement quantity.

[0035] In a second aspect, the present application provides a device for determining the number of spare parts of an equipment component, comprising:

[0036] A maintenance procedure determination module is used to determine an evaluation cycle and maintenance procedure corresponding to the target equipment; the maintenance procedure includes a number of preventive maintenance tasks; the preventive maintenance tasks include regular component replacement tasks and regular component inspection tasks;

[0037] a characteristic parameter determination module for determining, based on the maintenance procedure, the number of preventive maintenance replacements corresponding to each of the preventive maintenance tasks to be performed on the target equipment during the evaluation period, and determining life distribution characteristic parameters based on operating status data of the target equipment comprising a plurality of data pairs; each of the data pairs comprising a component operating time of a device component and a component operating state corresponding to the component operating time; the component operating state comprising a fault state and a non-fault state; and the life distribution characteristic parameters comprising a shape parameter and a characteristic life parameter of the life distribution of the device component;

[0038] a failure replacement quantity determination module, configured to determine an average failure rate of each of the equipment components based on the life distribution characteristic parameter and the evaluation period, and to determine a failure replacement quantity corresponding to corrective repairs due to sudden component failures within the evaluation period based on the average failure rate and a confidence level for the pre-equipment components;

[0039] The spare parts quantity determination module is used to determine the spare parts quantity corresponding to each device component in the target device in the evaluation period based on the preventive maintenance replacement quantity and the failure replacement quantity.

[0040] Optionally, the characteristic parameter determination module includes:

[0041] an identification result determining unit, configured to identify, based on the maintenance procedure, a task type of a preventive maintenance task corresponding to each equipment component in the target equipment, and obtain a corresponding identification result; wherein the maintenance procedure includes preventive maintenance tasks corresponding to each equipment component in the target equipment; each of the preventive maintenance tasks corresponds to a different execution period;

[0042] a first replacement quantity determination unit configured to, if the identification result indicates that the task type of the preventive maintenance task is the periodic component replacement task, set the execution period corresponding to the preventive maintenance task to a first maintenance period, and determine a first replacement quantity based on the evaluation period and the first maintenance period;

[0043] a total number of component inspections determining unit, configured to, if the identification result indicates that the task type of the preventive maintenance task is the periodic component inspection task, set the execution period corresponding to the preventive maintenance task to a second maintenance period, and determine the total number of component inspections in the historical maintenance data corresponding to the preventive maintenance task;

[0044] a second replacement quantity determination unit, configured to determine an actual number of replacements corresponding to the preventive maintenance task, determine a component replacement probability of the equipment component corresponding to the identification result based on the total number of component inspections and the actual number of replacements, and determine a second replacement quantity based on the evaluation period, the second maintenance period, and the component replacement probability;

[0045] A maintenance and replacement quantity determining unit is configured to determine a preliminary maintenance and replacement quantity based on the first replacement quantity and the second replacement quantity.

[0046] Optionally, the fault replacement quantity determination module includes:

[0047] a confidence level determination unit, configured to determine an average failure rate of the target equipment component based on the shape parameter, the characteristic life parameter, and the evaluation period, and determine a pre-equipment component confidence level based on the number of components; the pre-equipment component confidence level being a probability determined based on a daily maintenance requirement condition corresponding to each of the equipment components;

[0048] a cumulative probability sum determining unit, configured to initialize a current number of replacements, and then determine a current cumulative probability sum based on the current number of replacements, the average failure rate, and the number of components using a Poisson distribution formula;

[0049] The fault replacement number determination subunit is used to determine whether the current cumulative probability sum is less than the pre-equipment component confidence level; if the current cumulative probability sum is not less than the pre-equipment component confidence level, the current replacement number is set to the fault replacement number corresponding to the corrective repair due to sudden component failure within the evaluation period.

[0050] In a third aspect, the present application provides an electronic device, comprising:

[0051] Memory, used to store computer programs;

[0052] A processor is used to execute the computer program to implement the aforementioned method for determining the number of spare parts of equipment components.

[0053] In a fourth aspect, the present application provides a computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the aforementioned method for determining the number of spare parts of a device component.

[0054] As can be seen from the above, before determining the number of spare parts for equipment components, the present application needs to determine the evaluation cycle and maintenance procedures corresponding to the target equipment; the maintenance procedures include several preventive maintenance tasks; the preventive maintenance tasks include regular component replacement tasks and regular component inspection tasks; based on the maintenance procedures, the number of pre-repair replacements corresponding to each preventive maintenance task performed by the target equipment during the evaluation cycle is determined, and the life distribution characteristic parameters are determined based on the working status data of the target equipment including several data pairs; each data pair includes the component operating time of the component and the corresponding component operating state at the component operating time; the component operating state includes a fault state and a non-fault state; the life distribution characteristic parameters include shape parameters and characteristic life parameters; based on the life distribution characteristic parameters and the evaluation cycle, the average failure rate of the target equipment components is determined, so as to determine the number of fault replacements corresponding to corrective repairs due to sudden component failures within the evaluation cycle based on the average failure rate and the pre-equipment component confidence level; based on the preventive maintenance replacement number and the fault replacement number, the number of spare parts corresponding to each equipment component in the target equipment in the evaluation cycle is determined.

[0055] As can be seen, the present application first needs to determine the evaluation cycle and maintenance procedures corresponding to the target equipment; the maintenance procedures include several preventive maintenance tasks; the preventive maintenance tasks include regular component replacement tasks and regular component inspection tasks; then, based on the maintenance procedures, the number of pre-repair replacements corresponding to each preventive maintenance task performed by the target equipment during the evaluation cycle is determined, and the life distribution characteristic parameters are determined based on the working status data of the target equipment, including several data pairs; each data pair includes the component operation time of the component and the component operation state corresponding to the component operation time; the component operation state includes a fault state and a non-fault state; the life distribution characteristic parameters include shape parameters and characteristic life parameters; then, based on the life distribution characteristic parameters and the evaluation cycle, the average failure rate of the target equipment component is determined, so as to determine the number of fault replacements corresponding to the corrective maintenance due to sudden component failure during the evaluation cycle based on the average failure rate and the pre-equipment component confidence level; finally, the number of spare parts corresponding to each equipment component in the target equipment during the evaluation cycle is determined based on the preventive maintenance replacement number and the fault replacement number. In this way, the efficiency of determining the number of spare parts of the equipment component is improved, thereby improving the efficiency of the production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0057] Figure 1 A flow chart of a method for determining the number of spare parts for an equipment component disclosed in this application;

[0058] Figure 2 A schematic diagram of a data set formed by various specific fault data disclosed in this application;

[0059] Figure 3 A schematic diagram of the number of component failures requiring replacement and the corresponding confidence levels during a specific evaluation period disclosed in this application;

[0060] Figure 4 This is another specific schematic diagram of the number of component failures requiring replacement during an evaluation period and the corresponding confidence levels disclosed in this application;

[0061] Figure 5 A schematic diagram of the structure of a device for determining the number of spare parts of an equipment component disclosed in this application;

[0062] Figure 6 This is a structural diagram of an electronic device disclosed in this application. DETAILED DESCRIPTION

[0063] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0064] At present, in the process of maintenance of rail vehicles, it is of great significance to determine the number of spare parts. However, the traditional method of determining the number of maintenance spare parts is mainly based on the estimation of historical maintenance spare parts consumption experience. The method is simple and crude, and it is easy to have problems of insufficient or excessive spare parts. Insufficient spare parts will cause the maintenance task to be suspended, resulting in delays, while excessive spare parts will lead to waste of resources. To this end, the present application provides a method for determining the number of spare parts of equipment components, which can improve the efficiency of determining the number of spare parts of equipment components during the process of determining the number of spare parts of equipment components, thereby improving the efficiency of the production process.

[0065] See also Figure 1 As shown, an embodiment of the present invention discloses a method for determining the number of spare parts of an equipment component, comprising:

[0066] Step S11: Determine the evaluation cycle and maintenance procedures corresponding to the target equipment; the maintenance procedures include several preventive maintenance tasks; the preventive maintenance tasks include regular component replacement tasks and regular component inspection tasks.

[0067] In this embodiment, in the process of determining the number of spare parts for equipment components, it is first necessary to determine the evaluation period The maintenance procedures for daily component maintenance are listed in the maintenance procedures. These procedures specify one or more preventive maintenance tasks that must be performed for daily component maintenance, and each preventive maintenance task has a specific execution period.

[0068] Step S12: determining the number of pre-repair replacements corresponding to each of the preventive maintenance tasks performed by the target equipment during the evaluation period based on the maintenance procedure, and determining life distribution characteristic parameters based on the working status data of the target equipment including a plurality of data pairs; each of the data pairs includes a component operating time of an equipment component and a component operating state corresponding to the component operating time; the component operating state includes a fault state and a non-fault state; the life distribution characteristic parameters include shape parameters and characteristic life parameters of the life distribution of the equipment component.

[0069] In this embodiment, for the preventive maintenance task of regularly replacing components, its execution period is the component replacement period. For preventive maintenance tasks that require inspecting and replacing components when necessary, the execution cycle is recorded as the component inspection cycle. .

[0070] Specifically, determining the number of pre-emptive maintenance replacements corresponding to each preventive maintenance task performed on the target equipment during the evaluation cycle based on the maintenance procedure may include: identifying the task type of the preventive maintenance task corresponding to each equipment component in the target equipment based on the maintenance procedure, and obtaining a corresponding identification result; wherein the maintenance procedure includes preventive maintenance tasks corresponding to each equipment component in the target equipment; each preventive maintenance task corresponds to a different execution cycle; if the identification result indicates that the task type of the preventive maintenance task is a periodic component replacement task, then the execution cycle corresponding to the preventive maintenance task is set to the first maintenance cycle, and a first replacement quantity is determined based on the evaluation cycle and the first maintenance cycle; if the identification result indicates that the task type of the preventive maintenance task is a periodic component inspection task, then the execution cycle corresponding to the preventive maintenance task is set to the second maintenance cycle, and the total number of component inspections in the historical maintenance data corresponding to the preventive maintenance task is determined; determining the actual number of replacements corresponding to the preventive maintenance task, so as to determine the component replacement probability of the equipment component corresponding to the identification result based on the total number of component inspections and the actual number of replacements, and determining the second replacement quantity based on the evaluation cycle, the second maintenance cycle, and the component replacement probability; and determining the pre-emptive maintenance replacement quantity based on the first replacement quantity and the second replacement quantity.

[0071] In a specific embodiment, the embodiment of the present application needs to determine the number N of replacements required for components in preventive maintenance based on the specific content of the evaluation cycle and maintenance procedures. pm Where the maintenance regulations require replacement, the formula for determining the number of replacements is as follows:

[0072] ;

[0073] in, It is the parts replacement cycle.

[0074] In addition, where the maintenance procedures require that components be inspected and, if necessary, replaced, the formula for determining the number of replacements is as follows:

[0075] ;

[0076] in, is the component inspection cycle, The probability that a new component needs to be replaced after inspection is obtained, which can generally be obtained from daily maintenance experience. The formula for determining is as follows:

[0077] ;

[0078] in, is the number of executions of the component inspection task, The number of parts replaced to perform these tasks.

[0079] Furthermore, the embodiment of the present application needs to evaluate the real-time operation information and fault repair data of the component to determine the real-time component fault characteristics. The state of a component can be represented as a data pair ,and Indicates the Working time of each component, Indicates the Parts in Status: 1 for fault, 0 for normal or unknown status.

[0080] Then, the embodiment of the present application needs to determine the real-time Weibull life distribution characteristic parameters of the component and , and the expression is as follows:

[0081] ;

[0082] in, is the number of components, for Status in components The number of .

[0083] Specifically, determining the life distribution characteristic parameters based on the working status data of the target device including several data pairs can include: obtaining the working status data of the target device, counting the number of devices in each device component whose component operating status is characterized as a fault state, and obtaining the number of device failures; using the Weibull distribution model and based on the component operating time, the number of equipment failures and the number of components of each device component in each data pair in the working status data, determining the shape parameters of the life distribution of the device components; using the Weibull distribution model and based on the component operating time, the number of equipment failures, the number of each component and the shape parameters in each data pair in the working status data, determining the characteristic life parameters, so as to determine the life distribution characteristic parameters based on the characteristic life parameters.

[0084] Step S13: determining an average failure rate of each of the equipment components based on the life distribution characteristic parameters and the evaluation period, and determining the number of failure replacements corresponding to corrective repairs due to sudden component failures within the evaluation period based on the average failure rate and the confidence level of the pre-equipment components.

[0085] In this embodiment, the confidence level of the spare parts quantity needs to be determined , then calculate the evaluation period The real-time average failure rate of the components , and the calculation formula is as follows:

[0086] ;

[0087] In one embodiment, during the evaluation period The number of times a component fails and needs to be replaced is recorded as , and The initial value of is taken as zero, and the current confidence result is calculated, and the expression is as follows:

[0088] ;

[0089] Among them, when hour, ;when The number of spare parts required for component corrective repair .

[0090] Specifically, the average failure rate of each equipment component is determined based on the life distribution characteristic parameters and the evaluation period, and the number of failure replacements corresponding to corrective repairs due to sudden component failures within the evaluation period is determined based on the average failure rate and the pre-equipment component confidence level. This can include: determining the average failure rate of the target equipment component based on the shape parameter, the characteristic life parameter and the evaluation period, and determining the pre-equipment component confidence level based on the number of components; the pre-equipment component confidence level is a probability determined based on the daily maintenance demand conditions corresponding to each equipment component; initializing the current number of replacements, and then using the Poisson distribution formula to determine the current cumulative probability sum based on the current number of replacements, the average failure rate and the number of components; judging whether the current cumulative probability sum is less than the pre-equipment component confidence level; if the current cumulative probability sum is not less than the pre-equipment component confidence level, setting the current number of replacements to the number of failure replacements corresponding to corrective repairs due to sudden component failures within the evaluation period.

[0091] Step S14: Determine the number of spare parts corresponding to each device component in the target device during the evaluation period based on the preventive maintenance replacement number and the failure replacement number.

[0092] In this embodiment, the evaluation period is required The total number of spare parts required for daily maintenance of internal components is determined by the following formula:

[0093] ;

[0094] in, The number of spare parts required for preventive maintenance, The number of replacement parts required for corrective repairs, and Dynamic calculation can be performed based on the real-time failure rate.

[0095] Specifically, after determining whether the current cumulative probability sum is less than the pre-equipment component confidence level, the method may further include: if the current cumulative probability sum is less than the pre-equipment component confidence level, adding one to the current number of replacements, and re-jumping to the step of determining the current cumulative probability sum based on the current number of replacements, the average failure rate, and the number of components using the Poisson distribution formula, until the current cumulative probability sum is not less than the pre-equipment component confidence level; wherein the numerical value corresponding to the current cumulative probability sum is positively correlated with the numerical value corresponding to the number of failure replacements.

[0096] In a specific implementation, the embodiment of the present application first needs to determine the evaluation period As well as the inspection procedures for daily maintenance of components, and assuming that the evaluation period is the warranty period of the component In the annual inspection, according to the maintenance regulations provided by the supplier, the components are inspected and replaced when necessary, which is the inspection cycle of the components. For 1 year.

[0097] Subsequently, the confidence level for the spare parts quantity is determined , that is, the probability that the spare parts meet the daily maintenance needs. If the confidence level is too low, the calculation result may not meet the requirements, and if the confidence level is too high, the calculation result will be relatively conservative, which may cause waste of resources. The confidence level should be reasonably determined according to its own situation. In this embodiment of the application, the confidence level Set to 0.95.

[0098] Then, calculate the number of replacement parts required for preventive maintenance , and the component evaluation cycle is 2 years, which is the inspection cycle For 1 year, if the probability of needing replacement after routine maintenance is 5%, that is, is 0.05. From this, we can get the number of preventive maintenance and replacement of parts within the evaluation period. ;

[0099] Furthermore, the embodiment of the present application can determine the fault characteristics of a component based on the real-time data of daily operation of the component. Assume that the data set formed by the fault data of the current 20 components is as shown in FIG. Figure 2 As shown, then, Substitute the following formula to determine the real-time Weibull life distribution characteristic parameters of the component: and :

[0100] ;

[0101] It can be obtained that the life distribution characteristic parameters of the component are 1.36 and It is 7674 hours.

[0102] Then, according to the evaluation cycle Calculate the average failure rate during the component evaluation period. Assuming that 1 year is 8760 hours, the calculated is 3.0731, and the expression is as follows:

[0103] ;

[0104] In this embodiment, The number of times a component fails and needs to be replaced during the evaluation period. When the initial value is 0, we can calculate:

[0105] ;

[0106] Subsequently, due to the confidence level is 0.95, then we can get , and order , and repeat the above steps until The operation is terminated when , and the result is as follows Figure 3 As shown: Among them, when It is 6 o'clock, is 0.962671, not less than , that is, the number of spare parts required for component repair and maintenance is 6.

[0107] Finally, under the condition of 0.95 confidence level, the total number of spare parts required for routine maintenance of the component within the 2-year evaluation period is:

[0108] ;

[0109] The required number of spare parts can then be obtained to adjust the number of spare parts in real time during actual production. It is worth mentioning that the number of repair spare parts and the corresponding confidence level are as follows: Figure 4 As shown in the figure, when the number of repair spare parts is 8, the confidence level reaches 99%, when the number is 10, the confidence level reaches 99.9%, and when the number is 11, the confidence level reaches 99.99%. In other words, the higher the requirement for spare parts to meet daily maintenance needs, the more spare parts need to be prepared.

[0110] As can be seen from the above, the embodiment of the present application first needs to determine the evaluation cycle and maintenance procedures corresponding to the target equipment; the maintenance procedures include several preventive maintenance tasks; the preventive maintenance tasks include regular component replacement tasks and regular component inspection tasks; then, based on the maintenance procedures, the number of pre-repair replacements corresponding to each preventive maintenance task performed by the target equipment during the evaluation cycle is determined, and the life distribution characteristic parameters are determined based on the working status data of the target equipment including several data pairs; each data pair includes the component operation time of the component and the component operation state corresponding to the component operation time; the component operation state includes a fault state and a non-fault state; the life distribution characteristic parameters include a shape parameter and a characteristic life parameter; then, based on the life distribution characteristic parameters and the evaluation cycle, the average failure rate of the target equipment component is determined, so as to determine the number of fault replacements corresponding to the corrective maintenance due to sudden component failure during the evaluation cycle based on the average failure rate and the pre-equipment component confidence level; finally, the number of spare parts corresponding to each equipment component in the target equipment during the evaluation cycle is determined based on the preventive maintenance replacement number and the fault replacement number. In this way, the efficiency of determining the number of spare parts of the equipment component is improved, thereby improving the efficiency of the production process.

[0111] Accordingly, see Figure 5 As shown, the present application also provides a device for determining the number of spare parts of an equipment component, comprising:

[0112] The maintenance procedure determination module 11 is used to determine the evaluation cycle and maintenance procedure corresponding to the target equipment; the maintenance procedure includes a number of preventive maintenance tasks; the preventive maintenance tasks include regular component replacement tasks and regular component inspection tasks;

[0113] a characteristic parameter determination module 12 for determining, based on the maintenance procedure, the number of preventive maintenance replacements corresponding to each of the preventive maintenance tasks to be performed on the target equipment during the evaluation period, and determining life distribution characteristic parameters based on operating status data of the target equipment comprising a plurality of data pairs; each data pair comprising a component operating time of a device component and a component operating state corresponding to the component operating time; the component operating state comprising a fault state and a non-fault state; and the life distribution characteristic parameters comprising a shape parameter and a characteristic life parameter of the life distribution of the device component;

[0114] a failure replacement quantity determination module 13, configured to determine an average failure rate of each of the equipment components based on the life distribution characteristic parameter and the evaluation period, and to determine a failure replacement quantity corresponding to corrective repairs due to sudden component failures within the evaluation period based on the average failure rate and a confidence level for the pre-equipment components;

[0115] The spare parts quantity determination module 14 is configured to determine the spare parts quantity corresponding to each of the equipment components in the target equipment in the evaluation period based on the preventive maintenance replacement quantity and the failure replacement quantity.

[0116] As can be seen from the above, the embodiment of the present application first needs to determine the evaluation cycle and maintenance procedures corresponding to the target equipment; the maintenance procedures include several preventive maintenance tasks; the preventive maintenance tasks include regular component replacement tasks and regular component inspection tasks; then, based on the maintenance procedures, the number of pre-repair replacements corresponding to each preventive maintenance task performed by the target equipment during the evaluation cycle is determined, and the life distribution characteristic parameters are determined based on the working status data of the target equipment including several data pairs; each data pair includes the component operation time of the component and the component operation state corresponding to the component operation time; the component operation state includes a fault state and a non-fault state; the life distribution characteristic parameters include a shape parameter and a characteristic life parameter; then, based on the life distribution characteristic parameters and the evaluation cycle, the average failure rate of the target equipment component is determined, so as to determine the number of fault replacements corresponding to the corrective maintenance due to sudden component failure during the evaluation cycle based on the average failure rate and the pre-equipment component confidence level; finally, the number of spare parts corresponding to each equipment component in the target equipment during the evaluation cycle is determined based on the preventive maintenance replacement number and the fault replacement number. In this way, the efficiency of determining the number of spare parts of the equipment component is improved, thereby improving the efficiency of the production process.

[0117] In some specific implementations, the characteristic parameter determination module 12 may specifically include:

[0118] an identification result determining unit, configured to identify, based on the maintenance procedure, a task type of a preventive maintenance task corresponding to each equipment component in the target equipment, and obtain a corresponding identification result; wherein the maintenance procedure includes preventive maintenance tasks corresponding to each equipment component in the target equipment; each of the preventive maintenance tasks corresponds to a different execution period;

[0119] a first replacement quantity determination unit configured to, if the identification result indicates that the task type of the preventive maintenance task is the periodic component replacement task, set the execution period corresponding to the preventive maintenance task to a first maintenance period, and determine a first replacement quantity based on the evaluation period and the first maintenance period;

[0120] a total number of component inspections determining unit, configured to, if the identification result indicates that the task type of the preventive maintenance task is the periodic component inspection task, set the execution period corresponding to the preventive maintenance task to a second maintenance period, and determine the total number of component inspections in the historical maintenance data corresponding to the preventive maintenance task;

[0121] a second replacement quantity determination unit, configured to determine an actual number of replacements corresponding to the preventive maintenance task, determine a component replacement probability of the equipment component corresponding to the identification result based on the total number of component inspections and the actual number of replacements, and determine a second replacement quantity based on the evaluation period, the second maintenance period, and the component replacement probability;

[0122] A maintenance and replacement quantity determining unit is configured to determine a preliminary maintenance and replacement quantity based on the first replacement quantity and the second replacement quantity.

[0123] In some specific implementations, the characteristic parameter determination module 12 may specifically include:

[0124] a device failure number determination unit, configured to obtain the operating status data of the target device, count the number of devices in each of the device components whose operating status is characterized as a failure state, and obtain the number of device failures;

[0125] a shape parameter determining unit, configured to determine a shape parameter of a life distribution of the equipment component using a Weibull distribution model based on the component operating time, the number of equipment failures, and the number of components of each equipment component in each data pair in the working status data;

[0126] The characteristic parameter determination subunit is used to determine the characteristic life parameters based on the component operation time, the number of equipment failures, the number of each component and the shape parameters in each data pair in the working status data using the Weibull distribution model, so as to determine the life distribution characteristic parameters based on the characteristic life parameters.

[0127] In some specific implementations, the fault replacement quantity determination module 13 may specifically include:

[0128] a confidence level determination unit, configured to determine an average failure rate of the target equipment component based on the shape parameter, the characteristic life parameter, and the evaluation period, and determine a pre-equipment component confidence level based on the number of components; the pre-equipment component confidence level being a probability determined based on a daily maintenance requirement condition corresponding to each of the equipment components;

[0129] a cumulative probability sum determining unit, configured to initialize a current number of replacements, and then determine a current cumulative probability sum based on the current number of replacements, the average failure rate, and the number of components using a Poisson distribution formula;

[0130] The fault replacement number determination subunit is used to determine whether the current cumulative probability sum is less than the pre-equipment component confidence level; if the current cumulative probability sum is not less than the pre-equipment component confidence level, the current replacement number is set to the fault replacement number corresponding to the corrective repair due to sudden component failure within the evaluation period.

[0131] In some specific embodiments, the device for determining the number of spare parts of an equipment component may further include:

[0132] a current replacement number updating unit, configured to, if the current cumulative probability sum is less than the pre-equipment component confidence level, increment the current replacement number by one, and re-jump to the step of determining the current cumulative probability sum based on the current replacement number, the average failure rate, and the number of components using the Poisson distribution formula, until the current cumulative probability sum is not less than the pre-equipment component confidence level; wherein the numerical value corresponding to the current cumulative probability sum is positively correlated with the numerical value corresponding to the failure replacement number.

[0133] Furthermore, the embodiment of the present application also discloses an electronic device, Figure 6 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content in the diagram should not be considered as limiting the scope of use of this application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 is used to store a computer program, which is loaded and executed by the processor 21 to implement the relevant steps of the method for determining the number of spare parts of a device component disclosed in any of the aforementioned embodiments. In addition, the electronic device 20 in this embodiment may specifically be an electronic computer.

[0134] In this embodiment, the power supply 23 is used to provide operating voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and the external device. The communication protocol it follows is any communication protocol that can be applied to the technical solution of this application and is not specifically limited here; the input and output interface 25 is used to obtain external input data or output data to the outside world. Its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0135] In addition, the memory 22, as a carrier for resource storage, can be a read-only memory, random access memory, disk or CD, etc. The resources stored thereon can include an operating system 221, a computer program 222, etc., and the storage method can be temporary storage or permanent storage.

[0136] The operating system 221 is used to manage and control the hardware devices on the electronic device 20 and the computer program 222, and can be Windows Server, NetWare, Unix, Linux, etc. In addition to including a computer program capable of implementing the method for determining the number of spare parts of a device component executed by the electronic device 20 disclosed in any of the aforementioned embodiments, the computer program 222 can further include a computer program capable of implementing other specific tasks.

[0137] Furthermore, this application discloses a computer-readable storage medium for storing a computer program; wherein, when executed by a processor, the computer program implements the aforementioned method for determining the number of spare parts for a device component. The specific steps of this method can be found in the corresponding contents disclosed in the aforementioned embodiments and will not be further described here.

[0138] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from the other embodiments. Reference can be made to the descriptions of the identical or similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple, and the relevant parts can be referred to the descriptions of the methods.

[0139] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the components and steps of each example according to their functions. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0140] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0141] Finally, it should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

[0142] The above is a detailed introduction to the technical solution provided by the present application. Specific examples are used herein to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. At the same time, for those skilled in the art, according to the ideas of the present application, there may be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for determining the number of spare parts of an equipment component, characterized in that: include: Determine an assessment cycle and maintenance procedures corresponding to the target equipment; the maintenance procedures include several preventive maintenance tasks; the preventive maintenance tasks include regular component replacement tasks and regular component inspection tasks; Determining, based on the maintenance procedure, the number of preventive maintenance replacements corresponding to each of the preventive maintenance tasks performed on the target equipment during the evaluation period, and determining life distribution characteristic parameters based on operating status data of the target equipment comprising a plurality of data pairs; each of the data pairs comprising a component operating time of a device component and a component operating state corresponding to the component operating time; the component operating state comprising a fault state and a non-fault state; and the life distribution characteristic parameters comprising a shape parameter and a characteristic life parameter of the life distribution of the device component; Determine an average failure rate of each of the equipment components based on the life distribution characteristic parameter and the evaluation period, and determine a number of failure replacements corresponding to corrective repairs due to sudden component failures within the evaluation period based on the average failure rate and a confidence level for the pre-equipment components; The number of spare parts corresponding to each of the device components in the target device in the evaluation period is determined based on the preventive maintenance replacement number and the failure replacement number.

2. The method for determining the number of spare parts of equipment components according to claim 1, characterized in that: The determining, based on the maintenance procedure, the number of pre-emptive maintenance and replacement tasks corresponding to each preventive maintenance task performed on the target device during the evaluation period includes: Identifying, based on the maintenance procedure, a task type of a preventive maintenance task corresponding to each device component in the target device, and obtaining a corresponding identification result; wherein the maintenance procedure includes preventive maintenance tasks corresponding to each device component in the target device; each preventive maintenance task corresponds to a different execution period; If the identification result indicates that the task type of the preventive maintenance task is the periodic component replacement task, setting the execution period corresponding to the preventive maintenance task as a first maintenance period, and determining a first replacement quantity based on the evaluation period and the first maintenance period; If the identification result indicates that the task type of the preventive maintenance task is the periodic component inspection task, setting the execution period corresponding to the preventive maintenance task as the second maintenance period, and determining the total number of component inspections in the historical maintenance data corresponding to the preventive maintenance task; Determining an actual number of replacements corresponding to the preventive maintenance task, determining a component replacement probability of the equipment component corresponding to the identification result based on the total number of component inspections and the actual number of replacements, and determining a second replacement quantity based on the evaluation period, the second maintenance period, and the component replacement probability; A preliminary maintenance replacement quantity is determined based on the first replacement quantity and the second replacement quantity.

3. The method for determining the number of spare parts of equipment components according to claim 1, characterized in that: The determining of the life distribution characteristic parameter based on the working status data of the target device including a plurality of data pairs includes: Obtaining the working status data of the target device, counting the number of devices whose component operating status is characterized as a fault state in each of the device components, and obtaining the number of device faults; Determining a shape parameter of a life distribution of the equipment component using a Weibull distribution model based on the component operating time, the number of equipment failures, and the number of components of each equipment component in each data pair in the working status data; A Weibull distribution model is used to determine characteristic life parameters based on the component operating time, the number of equipment failures, the number of each component and the shape parameters in each data pair in the working status data, so as to determine life distribution characteristic parameters based on the characteristic life parameters.

4. The method for determining the number of spare parts of equipment components according to claim 3, characterized in that: Determining the average failure rate of each of the equipment components based on the life distribution characteristic parameter and the evaluation period, and determining the number of failure replacements corresponding to corrective repairs due to sudden component failures within the evaluation period based on the average failure rate and the pre-equipment component confidence level, includes: Determining an average failure rate of the target equipment component based on the shape parameter, the characteristic life parameter, and the evaluation period, and determining a pre-equipment component confidence level based on the number of components; the pre-equipment component confidence level is a probability determined based on daily maintenance requirement conditions corresponding to each of the equipment components; Initializing a current number of replacements, and then determining a current cumulative probability sum based on the current number of replacements, the average failure rate, and the number of components using a Poisson distribution formula; Determine whether the current cumulative probability sum is less than the pre-equipment component confidence level; if the current cumulative probability sum is not less than the pre-equipment component confidence level, set the current replacement number to the number of failure replacements corresponding to corrective repairs due to sudden component failure within the evaluation period.

5. The method for determining the number of spare parts of equipment components according to claim 4, characterized in that: After determining whether the current cumulative probability sum is less than the pre-equipment device confidence level, the method further includes: If the current cumulative probability sum is less than the pre-equipment component confidence level, the current number of replacements is incremented by one, and the process returns to the step of determining the current cumulative probability sum based on the current number of replacements, the average failure rate, and the number of components using the Poisson distribution formula, until the current cumulative probability sum is no less than the pre-equipment component confidence level; The numerical value corresponding to the current cumulative probability sum is positively correlated with the numerical value corresponding to the fault replacement quantity.

6. A device for determining the number of spare parts of an equipment component, characterized in that: include: A maintenance procedure determination module is used to determine an evaluation period and maintenance procedure corresponding to a target device; the maintenance procedure includes a number of preventive maintenance tasks; The preventive maintenance tasks include regular component replacement tasks and regular component inspection tasks; a characteristic parameter determination module for determining, based on the maintenance procedure, the number of preventive maintenance replacements corresponding to each of the preventive maintenance tasks to be performed on the target equipment during the evaluation period, and determining life distribution characteristic parameters based on operating status data of the target equipment comprising a plurality of data pairs; each of the data pairs comprising a component operating time of a device component and a component operating state corresponding to the component operating time; the component operating state comprising a fault state and a non-fault state; and the life distribution characteristic parameters comprising a shape parameter and a characteristic life parameter of the life distribution of the device component; a failure replacement quantity determination module, configured to determine an average failure rate of each of the equipment components based on the life distribution characteristic parameter and the evaluation period, and to determine a failure replacement quantity corresponding to corrective repairs due to sudden component failures within the evaluation period based on the average failure rate and a confidence level for the pre-equipment components; The spare parts quantity determination module is used to determine the spare parts quantity corresponding to each device component in the target device in the evaluation period based on the preventive maintenance replacement quantity and the failure replacement quantity.

7. The device for determining the number of spare parts of an equipment component according to claim 6, characterized in that: The characteristic parameter determination module includes: an identification result determining unit, configured to identify, based on the maintenance procedure, a task type of a preventive maintenance task corresponding to each equipment component in the target equipment, and obtain a corresponding identification result; wherein the maintenance procedure includes preventive maintenance tasks corresponding to each equipment component in the target equipment; each of the preventive maintenance tasks corresponds to a different execution period; a first replacement quantity determination unit configured to, if the identification result indicates that the task type of the preventive maintenance task is the periodic component replacement task, set the execution period corresponding to the preventive maintenance task to a first maintenance period, and determine a first replacement quantity based on the evaluation period and the first maintenance period; a total number of component inspections determining unit, configured to, if the identification result indicates that the task type of the preventive maintenance task is the periodic component inspection task, set the execution period corresponding to the preventive maintenance task to a second maintenance period, and determine the total number of component inspections in the historical maintenance data corresponding to the preventive maintenance task; a second replacement quantity determination unit, configured to determine an actual number of replacements corresponding to the preventive maintenance task, determine a component replacement probability of the equipment component corresponding to the identification result based on the total number of component inspections and the actual number of replacements, and determine a second replacement quantity based on the evaluation period, the second maintenance period, and the component replacement probability; A maintenance and replacement quantity determining unit is configured to determine a preliminary maintenance and replacement quantity based on the first replacement quantity and the second replacement quantity.

8. The device for determining the number of spare parts of an equipment component according to claim 6, characterized in that: The fault replacement quantity determination module includes: a confidence level determination unit, configured to determine an average failure rate of the target equipment component based on the shape parameter, the characteristic life parameter, and the evaluation period, and determine a pre-equipment component confidence level based on the number of components; the pre-equipment component confidence level being a probability determined based on a daily maintenance requirement condition corresponding to each of the equipment components; a cumulative probability sum determining unit, configured to initialize a current number of replacements, and then determine a current cumulative probability sum based on the current number of replacements, the average failure rate, and the number of components using a Poisson distribution formula; The fault replacement number determination subunit is used to determine whether the current cumulative probability sum is less than the pre-equipment component confidence level; if the current cumulative probability sum is not less than the pre-equipment component confidence level, the current replacement number is set to the fault replacement number corresponding to the corrective repair due to sudden component failure within the evaluation period.

9. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor, configured to execute the computer program to implement the method for determining the number of spare parts of an equipment component according to any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that Used to store a computer program, wherein when the computer program is executed by a processor, the method for determining the number of spare parts of an equipment component according to any one of claims 1 to 5 is implemented.

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