CN115511123A - Method, device and medium for determining quantity of spare parts - Google Patents
Method, device and medium for determining quantity of spare parts Download PDFInfo
- Publication number
- CN115511123A CN115511123A CN202211170948.2A CN202211170948A CN115511123A CN 115511123 A CN115511123 A CN 115511123A CN 202211170948 A CN202211170948 A CN 202211170948A CN 115511123 A CN115511123 A CN 115511123A
- Authority
- CN
- China
- Prior art keywords
- target component
- spare parts
- determining
- target
- acquiring
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
Abstract
The application discloses a method, a device and a medium for determining the number of spare parts, and relates to the field of rail transit vehicle maintenance. The method comprises the following steps: determining a target component and a to-be-operated time length of the target component; acquiring historical operation data of a target component; acquiring a reliability evaluation index of a target component according to historical operation data; the reliability evaluation index at least comprises the fault rate of the target component and the standard deviation of the operation data; determining a level of significance; and acquiring a first quantity range of the spare parts corresponding to the target component in the time length to be operated according to the reliability evaluation index, the time length to be operated and the significance level. Therefore, the method realizes the measurement and calculation of the number of the spare parts of the target component in the standby operation time, and in addition, the failure rate is considered when the number of the spare parts is measured and calculated, so that the number of the obtained spare parts is more reasonable.
Description
Technical Field
The application relates to the field of rail transit vehicle maintenance, in particular to a method, a device and a medium for determining the quantity of spare parts.
Background
Because the maintainability cost accounts for 66-88% of the total life cycle of the rail transit, and the maintenance cost accounts for 60-80% of the material cost, the material cost mainly comprises replaced spare parts, auxiliary materials, special tools and the like, the number of the spare parts is huge, the availability of products is influenced by the fact that the spare parts are few, and extra daily maintenance and long-term maintenance cost is caused by the fact that the spare parts are too many, so that the economical requirement of the products is not influenced.
Therefore, how to select an appropriate number of spare parts is a technical problem that needs to be solved urgently by the person skilled in the art.
Disclosure of Invention
The application aims to provide a method, a device and a medium for determining the number of spare parts, which are used for selecting the appropriate number of spare parts.
In order to solve the above technical problem, the present application provides a method for determining the number of spare parts, including:
determining a target component and a to-be-operated time length of the target component;
acquiring historical operation data of the target component;
acquiring a reliability evaluation index of the target component according to the historical operation data; wherein the reliability evaluation index includes at least a failure rate of the target component, a standard deviation of the operational data;
determining a level of significance;
and acquiring a first quantity range of the spare parts corresponding to the target component in the time length to be operated according to the reliability evaluation index, the time length to be operated and the significance level.
Preferably, the acquiring historical operation data of the target component comprises:
acquiring a target main body where the target component is located;
obtaining a subject of the same type as the target subject; wherein the target component is contained in a same type of subject as the target subject;
acquiring the historical operation data of the target component in each main body; wherein the subject comprises the target subject and a subject of the same type as the target subject.
Preferably, the obtaining the failure rate of the target component according to the historical operation data comprises:
acquiring historical operation data corresponding to the target component in each main body within a preset time length;
acquiring the number of times of the target component failure in the corresponding main body from each historical operation data;
acquiring the ratio of the number of times of the target component failure in each main body to the preset time length so as to acquire the failure rate of the target component in each main body;
acquiring an average value of failure rates of the target components in the main bodies;
taking the average as the failure rate of the target component.
Preferably, in a case where there are a plurality of target components in the target subject, the obtaining a first number range of the spare parts corresponding to the target component in the standby operation time period according to the reliability evaluation index, the standby operation time period, and the significance level includes:
acquiring the number of the target components in the target body;
determining the first quantity range of the spare parts corresponding to the target component in the standby operation time period according to the quantity of the target component, the reliability evaluation index, the standby operation time period and the significance level.
Preferably, after the obtaining of the first number range of the spare parts corresponding to the target component in the standby operation time period according to the reliability evaluation index, the standby operation time period and the significance level, the method further includes:
obtaining an actual number of the spare parts of the target component;
judging whether the actual number is smaller than the lower limit value of the first number range or not;
if so, increasing the significance level, and determining a second quantity range of the spare parts corresponding to the target component in the to-be-operated time length according to the reliability evaluation index, the to-be-operated time length and the increased significance level; acquiring a lower limit value of the second quantity range; determining the number of the spare parts to be increased according to the difference value between the lower limit value of the second number range and the actual number;
if not, replacing the target component by the spare part under the condition that the target component is detected to be in fault.
Preferably, after the obtaining of the first number range of the spare parts corresponding to the target component in the standby operation time period according to the reliability evaluation index, the standby operation time period and the significance level, the method further includes:
establishing a relation table among the reliability evaluation index, the to-be-operated time length, the significance level and the first quantity range of the target component;
and under the condition that the spare parts corresponding to the target components are determined, determining the number of the spare parts corresponding to the target components from the relation table.
Preferably, after the obtaining of the first number range of the spare parts corresponding to the target component in the standby operation time period according to the reliability evaluation index, the standby operation time period and the significance level, the method further includes:
and outputting prompt information for representing that the first quantity range is obtained.
In order to solve the above technical problem, the present application further provides a device for determining the number of spare parts, including:
the device comprises a first determination module, a second determination module and a control module, wherein the first determination module is used for determining a target component and the to-be-operated time length of the target component;
the first acquisition module is used for acquiring historical operation data of the target component;
the second acquisition module is used for acquiring the reliability evaluation index of the target component according to the historical operation data; wherein the reliability evaluation index at least comprises a failure rate of the target component and a standard deviation of the operation data;
a second determination module that determines a level of significance;
and the third acquisition module is used for acquiring a first quantity range of the spare parts corresponding to the target component in the time length to be operated according to the reliability evaluation index, the time length to be operated and the significance level.
In order to solve the above technical problem, the present application further provides a device for determining the number of spare parts, including:
a memory for storing a computer program;
and the processor is used for realizing the steps of the method for determining the number of the spare parts when executing the computer program.
In order to solve the above technical problem, the present application further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the steps of the method for determining the number of spare parts described above.
The method for determining the number of spare parts provided by the application comprises the following steps: determining a target component and a to-be-operated time length of the target component; acquiring historical operation data of a target component; acquiring a reliability evaluation index of a target component according to historical operation data; the reliability evaluation index at least comprises the fault rate of the target component and the standard deviation of the operation data; determining a level of significance; and acquiring a first quantity range of the spare parts corresponding to the target component in the time length to be operated according to the reliability evaluation index, the time length to be operated and the significance level. Therefore, the method realizes the measurement and calculation of the number of the spare parts of the target component in the standby operation time, and in addition, the failure rate is considered when the number of the spare parts is measured and calculated, so that the number of the obtained spare parts is more reasonable.
In addition, the application also provides a device for determining the number of spare parts and a computer readable storage medium, which have the same or corresponding technical characteristics and effects as the above-mentioned method for determining the number of spare parts.
Drawings
In order to more clearly illustrate the embodiments of the present application, the drawings required for the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained by those skilled in the art without inventive effort.
FIG. 1 is a schematic illustration of a range of spare parts (N1, N2) at a level of significance provided by an embodiment of the present application;
fig. 2 is a flowchart of a method for determining the number of spare parts according to an embodiment of the present disclosure;
fig. 3 is a block diagram of an apparatus for determining the number of spare parts according to an embodiment of the present disclosure;
fig. 4 is a block diagram of an apparatus for determining the number of spare parts according to another embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without any creative effort belong to the protection scope of the present application.
The core of the application is to provide a method, a device and a medium for determining the number of spare parts, which are used for selecting the spare parts with proper number.
Because the maintainability cost accounts for 66-88% of the total life cycle of the rail transit, and the maintenance cost accounts for 60-80% of the material cost, the material cost mainly comprises replaced spare parts, auxiliary materials, special tools and the like, the number of the spare parts is huge, the availability of products is influenced by the fact that the spare parts are few, and extra daily maintenance and long-term maintenance cost is caused by the fact that the spare parts are too many, so that the economical requirement of the products is not influenced.
For vehicle manufacturers and operators, the problem that manufacturers and operators need to solve urgently is that how to establish a unified assessment model by means of complex vehicle structures and inconsistent reliability performance conditions of systems and how to accurately assess the reserve quantity of different systems and different components by using the existing operation data on the premise of guaranteeing the vehicle availability. A method for evaluating spare parts is provided based on reliability. The method is used for modeling the required range of spare parts by fusing a mathematical model (normal distribution curve, point estimation, interval estimation and the like) and the reliability knowledge (fault rate, fault distribution and the like) of the rail transit product, and provides a theoretical basis for the practical engineering application of the spare parts.
From the operation experience and the knowledge of the probability distribution curve, the number of spare parts required at time t is a curve conforming to the normal distribution N (μ, σ 2). The median of the normal curve is the average of the spare parts
The width of the normal curve is related to the standard deviation of the normal curve, and a spare part range (N1, N2) under a certain significant level alpha is obtained after a certain time t is determined. Fig. 1 is a schematic diagram of a range of spare parts (N1, N2) at a certain significance level provided by an embodiment of the present application.
From the mathematical knowledge of mean point estimation and interval estimation, it can be known that 1) point estimation can be calculated by using sample statistics, such as "sample mean = sum of sample values/sample capacity"; 2) The interval estimation is an interval range centered on the point estimation value (point estimator) and having a Margin of error (Margin of error) as a radius. Equation (1) is an expression for the range:
in the formula (1), the first and second groups of the compound,
represents the sample mean; α represents the significance level, confidence level configurelevel =1- α, and the cut-off value is "Z" since the interval estimation is two-tailed in the application of the spare part α/2 "means, obtained by looking up the critical value table under the normal distribution table; σ represents the total standard deviation; n represents the number of samples.
In the engineering measurement and calculation process of spare parts, 1)
The mean value can be calculated from the failure rate, i.e.
Where λ represents the failure rate of the research system/component; 2) Sigma total standard deviation is not easy to obtain and can be replaced by sample standard deviation, and the larger the sample amount is, the closer the calculated value is to the total standard deviation; 3) The value of n may be considered to be the number of items to which the failure rate data is obtained.
In order that those skilled in the art will better understand the disclosure, the following detailed description is given with reference to the accompanying drawings. Fig. 2 is a flowchart of a method for determining the number of spare parts according to an embodiment of the present application, and as shown in fig. 2, the method includes:
s10: and determining the target component and the to-be-operated time length of the target component.
In rail transit, parts have a certain life, and after a period of use, the parts usually need to be maintained or the parts break down and need to be repaired or replaced. In the case of rail transit products, such as vehicles, which are generally made up of a plurality of different components and the same component may be a plurality of, it is therefore necessary in practice to have spare parts for each component, which can be replaced when a component needs to be replaced. The parts needing to obtain the number of the corresponding spare parts are target parts, and the target parts are determined according to actual conditions without limitation.
The number of spare parts required by a component for different operating hours varies. In general, the longer the operation time, the greater the probability of component failure, and accordingly, the number of spare parts corresponding to the target component also needs to be increased; on the contrary, the shorter the operation time is, the smaller the number of spare parts corresponding to the target component is. Therefore, in order to more accurately acquire the number of spare parts, it is necessary to acquire the standby time period of the target component.
S11: historical operating data of the target component is obtained.
S12: acquiring a reliability evaluation index of a target component according to historical operation data; the reliability evaluation index at least comprises the fault rate of the target component and the standard deviation of the operation data.
Historical operating data of the target component, i.e., data generated by the target component during past operations. Since the historical operation data is used to obtain the reliability evaluation index, the historical operation data may also be referred to as operation reliability data. The historical operation data of the target component may be the historical operation data of one subject corresponding to the target component, or may be the historical operation data of a plurality of subjects corresponding to the target component. The historical operating data includes at least an operating duration and a number of times that the target component failed in the operating duration. After the historical operation data is acquired, the reliability evaluation index of the target component is acquired according to the historical operation data. In order to make the obtained reliability evaluation index more accurate, enough historical operation data can be obtained in practice.
S13: the level of significance was determined.
The significance level is typically negotiated by the interested parties (including the manufacturer, operator, etc.). The value of the significance level is not limited and is determined according to actual conditions. A smaller significance level alpha may be selected when a more accurate range of the number of spare parts needs to be obtained.
S14: and acquiring a first quantity range of the spare parts corresponding to the target component in the time length to be operated according to the reliability evaluation index, the time length to be operated and the significance level.
After the reliability evaluation index, the operation waiting time length and the significance level are obtained, the number range of the spare parts corresponding to the target component in the operation waiting time length can be calculated by using the formula (1).
The method for determining the number of spare parts provided by the embodiment includes: determining a target component and a time length to be operated of the target component; acquiring historical operation data of a target component; acquiring a reliability evaluation index of a target component according to historical operation data; the reliability evaluation index at least comprises the fault rate of the target component and the standard deviation of the operation data; determining a level of significance; and acquiring a first quantity range of the spare parts corresponding to the target component in the time length to be operated according to the reliability evaluation index, the time length to be operated and the significance level. Therefore, the method realizes the measurement and calculation of the number of the spare parts of the target component in the standby operation time, and in addition, the failure rate is considered when the number of the spare parts is measured and calculated, so that the number of the obtained spare parts is more reasonable.
In practice, in order to make the obtained reliability evaluation index more accurate, the required historical operation data of the target component is enough, and a preferred embodiment is that obtaining the historical operation data of the target component includes:
acquiring a target main body where a target component is located;
obtaining a subject of the same type as the target subject; wherein a subject of the same type as the target subject contains the target component;
acquiring historical operation data of target components in each main body; wherein the main body comprises a target main body and a main body of the same type as the target main body.
If the target component is a door controller, the door controller is usually arranged on a subway, so that the main body corresponding to the selected door controller is a certain subway, and the historical operation data of the door controller is acquired in the process of historical operation of the subway; when the main body corresponding to the selected gate controller is a plurality of subways, the historical operation data of the gate controller is obtained, namely the historical operation data of the gate controller corresponding to each subway in the historical operation process is obtained.
The method for acquiring the historical operation data of the target component according to the similar items provided by the embodiment enables the acquired historical operation data to be large enough, and the historical operation data of the target component on different subjects may be different, so that the acquired historical operation data is more referential.
On the basis of acquiring the historical operation data in the above embodiment, the reliability evaluation index may be further acquired according to the historical operation data. In the event of a failure of a target component, the target component generally needs to be replaced by a spare component in order not to affect the normal operation of the system, and therefore, the failure rate is an important index for measuring and calculating spare parts corresponding to the target component. In implementation, a preferred embodiment is that acquiring the failure rate of the target component according to the historical operation data includes:
acquiring historical operation data corresponding to target components in each main body within preset time;
acquiring the number of times of target component failure in a corresponding main body from each historical operation data;
acquiring the ratio of the failure times of the target component in each main body to the preset time length so as to acquire the failure rate of the target component in each main body;
acquiring an average value of failure rates of target components in each main body;
the average value is taken as the failure rate of the target component.
The value of the preset time length is not limited, if the selected preset time length is 1 day, when the failure rate is calculated, the failure times of the target components in each main body within 1 day are counted; assuming that the number of times of failure of the target component of a certain subject is 3 times in a day, the failure rate λ is 3/24 × 100% =12.5%, the failure rate of the target component of each subject is obtained according to the calculation method, and the failure rate of the target component can be obtained by averaging all the calculated failure rates.
In the manner provided by this embodiment of obtaining the failure rate of the target component of each subject according to the historical operation data of each subject, and further taking the average value of the obtained failure rates as the failure rate of the target component, because there are many historical operation data of each subject, the failure rate conditions of the target component on different subjects can be obtained; in addition, since the failure rate of the target component is small in some subjects and the failure rate of the target component is large in some subjects, the failure rate of the target component can be reflected more reasonably by taking the average value of the failure rates as the failure rate of the target component at the end.
In practice, there may be a plurality of target components in one subject, and therefore, in the case where there are a plurality of target components in the target subject, obtaining the first number range of spare parts corresponding to the target component in the standby period according to the reliability evaluation index, the standby period, and the significance level includes:
acquiring the number of target components in a target body;
and determining a first quantity range of the spare parts corresponding to the target component in the standby operation time period according to the quantity of the target component, the reliability evaluation index, the standby operation time period and the significance level.
The formula for calculating the first number range of spare parts when the plurality of target parts exist in the main body is as shown in formula (2):
in the formula (2), M represents the number of target components present in the body.
The method provided by the embodiment can acquire the number of corresponding spare parts when a plurality of target components exist in the main body, and meets the requirement of practical application.
In the above, in order to obtain a smaller number of spare parts to be replenished, but at the same time can meet the requirement, in a preferred embodiment, after obtaining, according to the reliability assessment indicator, the operation waiting time length, and the significance level, the method for determining the number of spare parts further includes:
acquiring the actual number of spare parts of a target component;
judging whether the actual quantity is smaller than the lower limit value of the first quantity range;
if so, increasing the significance level, and determining a second quantity range of the spare parts corresponding to the target component in the time length to be operated according to the reliability evaluation index, the time length to be operated and the increased significance level; acquiring a lower limit value of the second quantity range; determining the number of spare parts to be added according to the difference value between the lower limit value of the second number range and the actual number;
if not, replacing the target component by the spare part under the condition that the target component is detected to be in failure.
When the actual number of the spare parts of the target component is not less than the lower limit value of the first number range, the actual number of the spare parts is enough to meet the requirement, and in practice, when the target component has a fault, the spare parts are used for replacing the target component; however, when the actual number of spare parts for the target component is less than the lower limit of the first number range, the actual number of spare parts is not satisfactory. In order to obtain a smaller number of spare parts to be replenished, but at the same time meet the demand, the significance level may be increased such that the first number range is greater than the second number range, specifically, the lower limit value of the first number range is greater than the lower limit value of the second number range, and the upper limit value of the first number range is less than the upper limit value of the second number range. At this time, the number of spare parts to be added is obtained only according to the difference between the lower limit value of the second number range and the actual number. The specific value of the increase in the level of significance is not limited and is determined in accordance with actual circumstances.
In the case that the actual number of spare parts provided in this embodiment is smaller than the lower limit value of the first number range, the significance level is increased so that the lower limit value of the second number range is smaller than the lower limit value of the first number range, and compared with the manner of increasing the spare parts according to the difference between the lower limit value of the first number range and the actual number, the number of spare parts to be increased in the manner of increasing the spare parts according to the difference between the lower limit value of the second number range and the actual number in this embodiment is reduced.
In order to facilitate the user to quickly know the number of spare parts of the target component that needs to be added, in an implementation, a preferred embodiment is that, after obtaining a first number range of spare parts corresponding to the target component in the standby time period according to the reliability assessment indicator, the standby time period, and the significance level, the method for determining the number of spare parts further includes:
establishing a relation table among reliability evaluation indexes, to-be-operated time length, significance levels and a first quantity range of the target component;
and under the condition that the spare parts corresponding to the target components are determined, determining the number of the spare parts corresponding to the target components from the relation table.
It should be noted that the relation table is established on the premise that the number range of the spare parts in different cases is determined according to the method for determining the number of the spare parts described above.
In the method provided by this embodiment, by establishing the relationship table between the reliability evaluation index of the target component, the operation waiting time, the significance level, and the first quantity range, when the quantity of the spare parts corresponding to the target component needs to be obtained, the quantity of the spare parts can be obtained directly from the relationship table.
In implementation, in order to facilitate the user to know whether the first quantity range is acquired, in a preferred embodiment, after acquiring the first quantity range of the spare parts corresponding to the target component in the standby operation time period according to the reliability evaluation index, the standby operation time period and the significance level, the method for determining the quantity of the spare parts further includes:
and outputting prompt information for representing that the first quantity range is obtained.
The content, mode, and the like of the presentation information are not limited. Through the prompt message, the user can intuitively know whether the first quantity range is acquired.
In the foregoing embodiment, a method for determining the number of spare parts is described in detail, and the present application also provides an embodiment corresponding to a device for determining the number of spare parts. It should be noted that the present application describes the embodiments of the apparatus portion from two perspectives, one from the perspective of the function module and the other from the perspective of the hardware.
Fig. 3 is a block diagram of an apparatus for determining the number of spare parts according to an embodiment of the present application. The present embodiment is based on the angle of the function module, including:
a first determining module 10, configured to determine a target component and a time period to be operated of the target component;
a first obtaining module 11, configured to obtain historical operation data of a target component;
a second obtaining module 12, configured to obtain a reliability evaluation index of the target component according to the historical operation data; the reliability evaluation index at least comprises the fault rate of the target component and the standard deviation of the operation data;
a second determination module 13 for determining the level of significance;
and the third obtaining module 14 is configured to obtain a first quantity range of the spare parts corresponding to the target component in the time period to be operated according to the reliability evaluation index, the time period to be operated, and the significance level.
Since the embodiment of the apparatus portion and the embodiment of the method portion correspond to each other, please refer to the description of the embodiment of the method portion for the embodiment of the apparatus portion, and details are not repeated here.
The device for determining the number of spare parts provided by the embodiment determines the target component and the time length to be operated of the target component through the first determining module; acquiring historical operation data of a target component through a first acquisition module; acquiring a reliability evaluation index of the target component according to the historical operation data through a second acquisition module; the reliability evaluation index at least comprises the fault rate of the target component and the standard deviation of the operation data; determining, by a second determination module, a level of significance; and acquiring a first quantity range of the spare parts corresponding to the target component in the to-be-operated time period through a third acquisition module according to the reliability evaluation index, the to-be-operated time period and the significance level. Therefore, the device can be used for measuring and calculating the number of spare parts of the target component in the standby operation time, and in addition, the fault rate is taken into consideration when the number of the spare parts is measured and calculated, so that the number of the obtained spare parts is more reasonable.
Fig. 4 is a block diagram of an apparatus for determining the number of spare parts according to another embodiment of the present application. In this embodiment, based on the hardware perspective, as shown in fig. 4, the device for determining the number of spare parts includes:
a memory 20 for storing a computer program;
the processor 21 is configured to implement the steps of the method for determining the number of spare parts as mentioned in the above embodiments when executing the computer program.
The device for determining the number of spare parts provided in this embodiment may include, but is not limited to, a smart phone, a tablet computer, a notebook computer, or a desktop computer.
The processor 21 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The Processor 21 may be implemented in hardware using at least one of a Digital Signal Processor (DSP), a Field-Programmable Gate Array (FPGA), and a Programmable Logic Array (PLA). The processor 21 may also include a main processor and a coprocessor, where the main processor is a processor for Processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 21 may be integrated with a Graphics Processing Unit (GPU) which is responsible for rendering and drawing the content required to be displayed by the display screen. In some embodiments, the processor 21 may further include an Artificial Intelligence (AI) processor for processing computational operations related to machine learning.
The memory 20 may include one or more computer-readable storage media, which may be non-transitory. Memory 20 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In this embodiment, the memory 20 is at least used for storing the following computer program 201, wherein after being loaded and executed by the processor 21, the computer program can implement the relevant steps of the method for determining the number of spare parts disclosed in any of the foregoing embodiments. In addition, the resources stored in the memory 20 may also include an operating system 202, data 203, and the like, and the storage manner may be a transient storage manner or a permanent storage manner. Operating system 202 may include, among other things, windows, unix, linux, etc. The data 203 may include, but is not limited to, data related to the above-mentioned method of determining the number of spare parts, and the like.
In some embodiments, the device for determining the number of spare parts may further include a display 22, an input/output interface 23, a communication interface 24, a power supply 25, and a communication bus 26.
It will be appreciated by those skilled in the art that the configuration shown in figure 4 does not constitute a limitation of the means for determining the number of spare parts and may comprise more or less components than those shown.
The device for determining the number of spare parts provided by the embodiment of the application comprises a memory and a processor, wherein when the processor executes a program stored in the memory, the following method can be realized: the effect of the method for determining the number of spare parts is the same as that of the method for determining the number of spare parts.
Finally, the application also provides a corresponding embodiment of the computer readable storage medium. The computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps as set forth in the above-mentioned method embodiments.
It is to be understood that if the method in the above embodiments is implemented in the form of software functional units and sold or used as a stand-alone product, it can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium and executes all or part of the steps of the methods described in the embodiments of the present application, or all or part of the technical solutions. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The computer-readable storage medium provided by the application comprises the above-mentioned method for determining the number of spare parts, and the effects are the same as above.
In order that those skilled in the art will better understand the disclosure, the following detailed description will be given with reference to the accompanying drawings.
The application display is carried out by taking a car door controller as an example:
assuming that a train of six-section marshalled vehicles has 24 doors in total, each door is provided with a door controller, the failure rate of the door controller is estimated to be 6E-7 through operation reliability data of 16 similar projects, the probability distribution curve conforms to normal distribution, the standard deviation sigma is 2, when the confidence coefficient is satisfied to be 80%, the number of spare parts of the door controller required at 50000h is determined as follows:
therefore, within 50000h and within 80% confidence interval, 55-88 gaters are required, and the specific reserve quantity can be considered in the aspects of economy or product supply period and the like.
Therefore, the method for evaluating the spare parts is provided by the embodiment. The method is characterized in that a required range of spare parts of the rail transit is modeled by fusing a mathematical model (a normal distribution curve, point estimation, interval estimation and the like) and reliability knowledge (fault rate, fault distribution and the like) of the rail transit product, different confidence levels and the number range of the spare parts required by maintenance in different operation time are accurately evaluated, and a theoretical basis is provided for practical engineering application of the method.
The method, the apparatus, and the medium for determining the number of spare parts provided by the present application are described in detail above. The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed in the embodiment corresponds to the method disclosed in the embodiment, so that the description is simple, and the relevant points can be referred to the description of the method part. It should be noted that, for those skilled in the art, without departing from the principle of the present application, the present application can also make several improvements and modifications, and those improvements and modifications also fall into the protection scope of the claims of the present application.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. A method for determining the number of spare parts, comprising:
determining a target component and a to-be-operated time length of the target component;
acquiring historical operation data of the target component;
acquiring a reliability evaluation index of the target component according to the historical operation data; wherein the reliability evaluation index includes at least a failure rate of the target component, a standard deviation of the operational data;
determining a level of significance;
and acquiring a first quantity range of the spare parts corresponding to the target component in the time length to be operated according to the reliability evaluation index, the time length to be operated and the significance level.
2. The method for determining the number of spare parts according to claim 1, wherein the obtaining historical operational data of the target component comprises:
acquiring a target main body where the target component is located;
obtaining a subject of the same type as the target subject; wherein the target component is contained in a body of the same type as the target body;
acquiring the historical operation data of the target component in each main body; wherein the subject includes the target subject and a subject of the same type as the target subject.
3. The method for determining the number of spare parts according to claim 2, wherein obtaining the failure rate of the target component from the historical operational data comprises:
acquiring historical operation data corresponding to the target component in each main body within a preset time length;
acquiring the number of times of the target component failure in the corresponding main body from each historical operation data;
acquiring the ratio of the number of times of the target component failure in each main body to the preset time length so as to acquire the failure rate of the target component in each main body;
acquiring an average value of failure rates of the target components in the main bodies;
taking the average value as the failure rate of the target component.
4. The method for determining the number of spare parts according to claim 3, wherein in the case where the target component is plural in the target body, the obtaining of the first number range of the spare parts corresponding to the target component in the standby period based on the reliability evaluation index, the standby period, and the level of significance comprises:
acquiring the number of the target components in the target body;
determining the first quantity range of the spare parts corresponding to the target component in the standby operation time period according to the quantity of the target component, the reliability evaluation index, the standby operation time period and the significance level.
5. The method for determining the number of spare parts according to any one of claims 1 to 4, wherein after the obtaining of the first number range of the spare parts corresponding to the target component in the standby period according to the reliability assessment index, the standby period, and the significance level, the method further comprises:
obtaining an actual number of the spare parts of the target component;
judging whether the actual number is smaller than the lower limit value of the first number range;
if so, increasing the significance level, and determining a second quantity range of the spare parts corresponding to the target component in the to-be-operated time length according to the reliability evaluation index, the to-be-operated time length and the increased significance level; acquiring a lower limit value of the second quantity range; determining the number of the spare parts to be increased according to the difference value between the lower limit value of the second number range and the actual number;
if not, replacing the target component by the spare part under the condition that the target component is detected to be in fault.
6. The method for determining the number of spare parts according to claim 5, wherein after the obtaining of the first range of the number of spare parts corresponding to the target component within the standby period of time based on the reliability assessment indicator, the standby period of time, and the level of significance, the method further comprises:
establishing a relation table among the reliability evaluation index, the to-be-operated time length, the significance level and the first quantity range of the target component;
and under the condition that the spare parts corresponding to the target components are determined, determining the number of the spare parts corresponding to the target components from the relation table.
7. The method for determining the number of spare parts according to claim 6, wherein after the obtaining of the first number range of the spare parts corresponding to the target component in the standby period according to the reliability evaluation index, the standby period, and the level of significance, the method further comprises:
and outputting prompt information for representing that the first quantity range is acquired.
8. An apparatus for determining the number of spare parts, comprising:
the device comprises a first determining module, a second determining module and a control module, wherein the first determining module is used for determining a target component and the to-be-operated time length of the target component;
the first acquisition module is used for acquiring historical operation data of the target component;
the second acquisition module is used for acquiring the reliability evaluation index of the target component according to the historical operation data; wherein the reliability evaluation index includes at least a failure rate of the target component, a standard deviation of the operational data;
a second determination module that determines a level of significance;
and the third acquisition module is used for acquiring a first quantity range of the spare parts corresponding to the target component in the time length to be operated according to the reliability evaluation index, the time length to be operated and the significance level.
9. An apparatus for determining the number of spare parts, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the method of determining the number of spare parts according to any one of claims 1 to 7 when executing said computer program.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the method for determining a number of spare parts according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211170948.2A CN115511123A (en) | 2022-09-23 | 2022-09-23 | Method, device and medium for determining quantity of spare parts |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211170948.2A CN115511123A (en) | 2022-09-23 | 2022-09-23 | Method, device and medium for determining quantity of spare parts |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115511123A true CN115511123A (en) | 2022-12-23 |
Family
ID=84505374
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211170948.2A Pending CN115511123A (en) | 2022-09-23 | 2022-09-23 | Method, device and medium for determining quantity of spare parts |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115511123A (en) |
-
2022
- 2022-09-23 CN CN202211170948.2A patent/CN115511123A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11728673B2 (en) | Advanced smart battery analytic and diagnostic systems and methods | |
| CN112000497B (en) | Service life prediction method and device for solid state disk and computer readable storage medium | |
| US11714557B2 (en) | SPD-based memory monitoring and service life prediction method and system | |
| EP3806008A1 (en) | Model generation device for lifespan prediction, model generation method for lifespan prediction, and storage medium storing model generation program for lifespan prediction | |
| CN110203155B (en) | Early warning method and device for abnormal vehicle fuel consumption, terminal equipment and storage medium | |
| CN105429792A (en) | User behavior flow obtaining method and device and user behavior analysis method and system | |
| US20150379410A1 (en) | Method and apparatus for generating data in a missing segment of a time data sequence | |
| CN111369056A (en) | Geological disaster prediction method and electronic equipment | |
| CN113487212A (en) | Risk monitoring method and device | |
| CN115511123A (en) | Method, device and medium for determining quantity of spare parts | |
| CN115452101A (en) | Instrument verification method, device, equipment and medium | |
| CN115169089A (en) | Wind power probability prediction method and device based on kernel density estimation and copula | |
| CN113627940A (en) | Transaction amount abnormity warning method and device | |
| CN112506901A (en) | Data quality measuring method, device and medium | |
| CN113220551A (en) | Index trend prediction and early warning method and device, electronic equipment and storage medium | |
| CN111859252A (en) | Method, device, equipment and storage medium for determining loading and unloading duration | |
| CN111176931A (en) | Operation monitoring method, operation monitoring device, server and storage medium | |
| CN111367765A (en) | Method and device for monitoring interface response performance, server and storage medium | |
| CN115062273B (en) | Photoelectric sensor precision control method and system for industrial internet | |
| CN110309158B (en) | Method and device for judging rolling abnormality of log file and readable medium | |
| CN112260900B (en) | Method, device and equipment for measuring energy consumption of communication equipment and storage medium | |
| CN112395179B (en) | Model training method, disk prediction method, device and electronic equipment | |
| CN115759727A (en) | Electric power spot market risk early warning method, system, equipment and storage medium | |
| CN115792628A (en) | Power battery safety evaluation method, device, equipment and storage medium | |
| CN115238811A (en) | Training method, device and equipment of anomaly detection model and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |