CN115795907A - Reliability evaluation method, system, equipment and medium for electromechanical equipment - Google Patents
Reliability evaluation method, system, equipment and medium for electromechanical equipment Download PDFInfo
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Abstract
The invention relates to the technical field of equipment safety design, in particular to a reliability evaluation method, a system, equipment and a medium of electromechanical equipment, wherein the reliability evaluation method of the electromechanical equipment comprises the following steps: acquiring equipment fault sample data and fault occurrence time based on historical work ledger data; determining equipment reliability factor according to the equipment fault sample data and the fault occurrence time; constructing an equipment reliability analysis model by using the equipment reliability factor and equipment fault sample data; and acquiring the working state data of the electromechanical equipment in real time, and inputting the working state data of the electromechanical equipment into the reliability analysis model to obtain a life state prediction result. The method and the device have the effect of improving the accuracy of the reliability evaluation result of the electromechanical equipment.
Description
Technical Field
The invention relates to the technical field of equipment safety, in particular to a reliability evaluation method, a reliability evaluation system, reliability evaluation equipment and reliability evaluation media for electromechanical equipment.
Background
The rail transit electromechanical devices include not only devices for promoting the operation of urban rail transit, but also devices for maintaining the performance and structural integrity of urban rail transit, and once a fault occurs in the rail transit electromechanical devices, the rail transit electromechanical devices not only affect the normal operation of the urban rail transit devices, but also may threaten the life and property safety of personnel, so that when the rail transit electromechanical devices are researched and developed, the rail transit electromechanical devices need to be subjected to reliability evaluation and analysis.
At present, reliability evaluation of electromechanical equipment in a rail transit system mainly depends on manual recording of the working state of the equipment, and the reliability result of the rail transit electromechanical equipment is predicted by using manual experience, so that the reliability evaluation result is easily influenced by the manual experience to a great extent, and the accuracy of the reliability evaluation prediction result is difficult to guarantee, so that a certain improvement space exists.
Disclosure of Invention
In order to improve the accuracy of the reliability evaluation result of the electromechanical device, the application provides a reliability evaluation method, system, device and medium of the electromechanical device.
The above object of the present invention is achieved by the following technical solutions:
a reliability evaluation method of an electromechanical device, the reliability evaluation method of the electromechanical device comprising the steps of:
acquiring equipment fault sample data and fault occurrence time based on historical work ledger data;
determining equipment reliability factor according to the equipment fault sample data and the fault occurrence time;
constructing an equipment reliability analysis model by using the equipment reliability factor and equipment fault sample data;
and acquiring the working state data of the electromechanical equipment in real time, and inputting the working state data of the electromechanical equipment into the reliability analysis model to obtain a life state prediction result.
By adopting the technical scheme, in the process of evaluating the reliability of the rail transit electromechanical equipment, the working data of each electromechanical equipment is recorded in real time, historical work account data of the electromechanical equipment is formed along with the accumulation of time, fault sample data and fault occurrence time of the electromechanical equipment in the working process are obtained by using the historical work account data of the electromechanical equipment, an equipment reliability factor is calculated by using the fault sample data and the fault occurrence time of the electromechanical equipment, an equipment reliability analysis model of the electromechanical equipment is constructed by using the reliability factor and the equipment fault sample data, so that different electromechanical equipment in a rail transit system can carry out reliability analysis by using an equipment reliability analysis model suitable for the electromechanical equipment, the accuracy of the reliability evaluation result of the rail transit electromechanical equipment is effectively improved, the working state data of the rail transit electromechanical equipment is recorded in real time, the electromechanical equipment is subjected to reliability analysis by using the trained equipment reliability analysis model and the working state data of the electromechanical equipment, the reliability analysis result of the electromechanical equipment is obtained, the life state prediction result of the electromechanical equipment can be evaluated, the reliability analysis result of the electromechanical equipment can be conveniently maintained by maintenance personnel according to the service life time of the electromechanical equipment, the reliability of the electromechanical equipment is effectively improved, the reliability analysis result of the electromechanical equipment, the reliability of the whole maintenance experience of the rail transit equipment is effectively, and the reliability of the rail transit equipment is not effectively improved.
The present application may be further configured in a preferred example to: determining an equipment reliability factor according to the equipment fault sample data and the fault occurrence time, specifically comprising:
acquiring the number of fault samples based on the equipment fault sample data;
and calculating a reliability factor according to the number of the fault samples and the fault occurrence time.
By adopting the technical scheme, the number of samples of the electromechanical equipment with faults is extracted from the obtained equipment fault sample data, the reliability factor of the electromechanical equipment is calculated by utilizing the number of the fault samples and the time data of the specific faults of the electromechanical equipment, and the reliability evaluation model of the electromechanical equipment is conveniently trained by utilizing the reliability factor of the electromechanical equipment.
The application may be further configured in a preferred example to: the constructing of the equipment reliability analysis model by using the equipment reliability factor and the equipment fault sample data specifically comprises:
acquiring performance fault data and burst fault data according to the equipment fault sample data, and establishing an equipment simulation model based on the performance fault data and the burst fault data;
and determining model parameters based on the equipment reliability factor, and inputting the model parameters into an equipment simulation model to obtain an equipment reliability typing model.
By adopting the technical scheme, the specific data of the performance failure of the electromechanical equipment and the sudden failure data of the electromechanical equipment are obtained from the equipment failure sample data, the performance failure data is the failure data of the performance failure of the electromechanical equipment, the sudden failure data is the failure data of the accidental failure except the performance failure, the performance failure data and the sudden failure data of the electromechanical equipment are utilized to establish a simulation model of the electromechanical equipment, the model parameters of the simulation model of the equipment are determined through the equipment reliability factor, the model parameters are input into the equipment simulation model to establish an equipment reliability analysis model, the performance failure and the accidental failure of the electromechanical equipment are considered in the process of establishing the equipment reliability analysis model, the electromechanical equipment can be comprehensively evaluated, and the comprehensiveness of the reliability analysis result of the electromechanical equipment is improved.
The present application may be further configured in a preferred example to: the establishing of the equipment simulation model based on the performance fault data and the burst fault data specifically comprises the following steps:
acquiring performance fault occurrence probability based on the performance fault data, and constructing a primary simulation model according to the performance fault occurrence probability;
and acquiring the occurrence probability of the sudden fault according to the sudden fault data, and modifying the primary simulation model based on the occurrence probability of the sudden fault to obtain an equipment simulation model.
By adopting the technical scheme, the performance fault data of the rail transit electromechanical equipment is collected and analyzed to obtain the performance fault occurrence probability of the electromechanical equipment, a preliminary simulation model is constructed according to the performance fault occurrence probability of the electromechanical equipment, the sudden fault occurrence probability of the electromechanical equipment is obtained by analyzing the sudden fault data of the electromechanical equipment, the preliminary simulation model is modified according to the sudden fault occurrence probability of the electromechanical equipment to obtain the equipment simulation model of the rail transit electromechanical equipment, all fault conditions of the electromechanical equipment can be considered comprehensively, and the accuracy of the reliability evaluation result of the electromechanical equipment is effectively improved.
The application may be further configured in a preferred example to: the acquiring of the working state data of the electromechanical device in real time and the inputting of the working state data of the electromechanical device into the device reliability analysis model to obtain the life state prediction result specifically include:
inputting the working state data of the electromechanical equipment into an equipment reliability analysis model to obtain an equipment service life value;
and determining the service time of the electromechanical equipment based on the equipment value, and taking the service time of the electromechanical equipment as a life state prediction result.
By adopting the technical scheme, the working state data of the electromechanical equipment collected in real time is input into the reliability analysis model of the electromechanical equipment, the equipment reliability analysis model is used for analyzing to obtain the equipment service life value of the electromechanical equipment, the safe service time of the electromechanical equipment is determined and obtained according to the equipment service life value, the service life condition of the electromechanical equipment is obtained, and the maintenance plan of the electromechanical equipment can be conveniently made by workers.
The present application may be further configured in a preferred example to: the inputting the working state data of the electromechanical device into the device reliability analysis model to obtain the device life value specifically includes:
determining the normal working probability of the equipment after the working time increment of the equipment based on the reliability analysis model of the equipment;
and determining the service life value of the equipment based on the normal working probability of the equipment.
By adopting the technical scheme, the working state data of the electromechanical equipment is analyzed through the equipment reliability analysis model, the probability that the electromechanical equipment works normally along with the increase of the working time is obtained, the normal working probability of the electromechanical equipment is conveniently analyzed to obtain the service life condition of the electromechanical equipment, and the service life estimation function of the electromechanical equipment is realized.
The second purpose of the invention of the application is realized by the following technical scheme:
an apparatus for reliability evaluation of an electromechanical device, the apparatus comprising:
the fault data acquisition module is used for acquiring equipment fault sample data and fault occurrence time based on historical work ledger data; the reliability factor acquisition module is used for determining the reliability factor of the equipment according to the equipment fault sample data and the fault occurrence time;
the model construction module is used for constructing an equipment reliability analysis model by utilizing the equipment reliability factor and the equipment fault sample data; and the equipment reliability analysis module is used for acquiring the working state data of the electromechanical equipment in real time, and inputting the working state data of the electromechanical equipment into the reliability analysis model to obtain a life state prediction result.
Preferably, the model building module includes:
and the fault probability calculation submodule is used for acquiring performance fault data and burst fault data according to the equipment fault sample data, establishing an equipment simulation model based on the performance fault data and the burst fault data, determining model parameters based on the equipment reliability factor, and inputting the model parameters into the equipment simulation model to obtain an equipment reliability classification model.
By adopting the technical scheme, in the process of evaluating the reliability of the rail transit electromechanical equipment, the working data of each electromechanical equipment is recorded in real time, historical work account data of the electromechanical equipment is formed along with the accumulation of time, fault sample data and fault occurrence time of the electromechanical equipment in the working process are obtained by using the historical work account data of the electromechanical equipment, an equipment reliability factor is calculated by using the fault sample data and the fault occurrence time of the electromechanical equipment, an equipment reliability analysis model of the electromechanical equipment is constructed by using the reliability factor and the equipment fault sample data, so that different electromechanical equipment in a rail transit system can carry out reliability analysis by using an equipment reliability analysis model suitable for the electromechanical equipment, the accuracy of the reliability evaluation result of the rail transit electromechanical equipment is effectively improved, the working state data of the rail transit electromechanical equipment is recorded in real time, the electromechanical equipment is subjected to reliability analysis by using the trained equipment reliability analysis model and the working state data of the electromechanical equipment, the reliability analysis result of the electromechanical equipment is obtained, the life state prediction result of the electromechanical equipment can be evaluated, the reliability analysis result of the electromechanical equipment can be conveniently maintained by maintenance personnel according to the service life time of the electromechanical equipment, the reliability of the electromechanical equipment is effectively improved, the reliability analysis result of the electromechanical equipment, the reliability of the whole maintenance experience of the rail transit equipment is effectively, and the reliability of the rail transit equipment is not effectively improved.
The third purpose of the present application is achieved by the following technical solutions:
a computer device comprising a memory, a processor and a computer program stored in said memory and executable on said processor, said processor implementing the steps of the above-mentioned method for reliability assessment of an electromechanical device when executing said computer program.
The fourth purpose of the present application is achieved by the following technical solutions:
a computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method for reliability assessment of an electromechanical device as described above.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the method comprises the steps that historical work ledger data of the electromechanical equipment are used for obtaining fault sample data and fault occurrence time of the electromechanical equipment in the working process, the fault sample data and the fault occurrence time of the electromechanical equipment are used for calculating an equipment reliability factor, the reliability factor and the equipment fault sample data are used for constructing an equipment reliability analysis model of the electromechanical equipment, different electromechanical equipment in a rail transit system can use the equipment reliability analysis model suitable for the equipment for reliability analysis, the accuracy of the reliability evaluation result of the electromechanical equipment of the rail transit is effectively improved, the reliability of the whole electromechanical equipment is analyzed without adopting artificial experience for reliability prediction, the influence of the artificial experience on the reliability analysis result is reduced, and the accuracy of the reliability evaluation result of the electromechanical equipment of the rail transit is effectively improved;
2. the method comprises the steps of acquiring specific data of performance failure of the electromechanical equipment and sudden failure data of the electromechanical equipment from equipment failure sample data, wherein the performance failure data is failure data of the performance failure of the electromechanical equipment, the sudden failure data is failure data of accidental failures except the performance failure, establishing a simulation model of the electromechanical equipment by using the performance failure data and the sudden failure data of the electromechanical equipment, determining model parameters of the equipment simulation model through an equipment reliability factor, inputting the model parameters into the equipment simulation model, and establishing an equipment reliability analysis model;
3. the method comprises the steps of inputting the working state data of the electromechanical equipment acquired in real time into a reliability analysis model of the electromechanical equipment, analyzing by using the reliability analysis model to obtain an equipment service life value of the electromechanical equipment, determining and obtaining the safe service time of the electromechanical equipment according to the equipment service life value to obtain the service life condition of the electromechanical equipment, and facilitating the establishment of a maintenance plan of the electromechanical equipment by a worker.
Drawings
FIG. 1 is a flow chart of a method for reliability assessment of an electromechanical device according to an embodiment of the present application;
FIG. 2 is a flowchart illustrating a step S20 of a reliability evaluation method for an electromechanical device according to an embodiment of the present application;
FIG. 3 is a flowchart illustrating the implementation of step S30 in the reliability assessment method for an electromechanical device according to an embodiment of the present application;
FIG. 4 is a flowchart illustrating an implementation of step S31 in a method for evaluating reliability of an electromechanical device according to an embodiment of the present application;
FIG. 5 is a flowchart illustrating a step S40 of a reliability evaluation method for an electromechanical device according to an embodiment of the present application;
FIG. 6 is a flowchart illustrating a step S41 of a reliability evaluation method for an electromechanical device according to an embodiment of the present application;
FIG. 7 is a functional block diagram of a reliability evaluation system of an electromechanical device in an embodiment of the present application;
FIG. 8 is a schematic diagram of a computer device in an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to the attached drawings.
In an embodiment, as shown in fig. 1, the present application discloses a reliability evaluation method for an electromechanical device, which specifically includes the following steps:
s10: and acquiring equipment fault sample data and fault occurrence time based on historical work ledger data.
In this embodiment, the device failure sample data refers to failure data of the electromechanical device that fails, and the failure occurrence time refers to a specific time period during which the electromechanical device fails.
Specifically, the working data of the rail transit electromechanical device is recorded in real time, the historical work ledger data of the electromechanical device is obtained along with the accumulation of the working time of the electromechanical device, the fault data of the electromechanical device with faults are obtained from the historical work ledger data of the electromechanical device, the fault data specifically comprise the fault type, the quantity and the quantity of the faults of the electromechanical device, and the specific time period of the faults of the electromechanical device and the using time of the electromechanical device are obtained from the historical ledger data of the electromechanical device.
S20: and determining the reliability factor of the equipment according to the equipment fault sample data and the fault occurrence time.
In this embodiment, the reliability factor refers to an evaluation parameter of reliability of the electromechanical device.
Specifically, the reliability evaluation parameters of the electromechanical device are calculated by using fault data of the electromechanical device with faults and the specific time period of the electromechanical device with faults, so that the reliability analysis model of the electromechanical device is conveniently constructed by using the reliability evaluation parameters.
S30: and constructing an equipment reliability analysis model by using the equipment reliability factor and the equipment fault sample data.
In this embodiment, the device reliability analysis model refers to a model for performing reliability analysis on the electromechanical device.
Specifically, the failure probability of the electromechanical device is estimated by using data such as the failure type of the failure of the electromechanical device, the number of the failed devices and the like and the reliability evaluation parameters of the electromechanical device, and a reliability analysis model of the electromechanical device is constructed according to the failure probability of the electromechanical device, so that the reliability analysis function of the electromechanical device is realized.
S40: and acquiring the working state data of the electromechanical equipment in real time, and inputting the working state data of the electromechanical equipment into the reliability analysis model to obtain a life state prediction result.
In this embodiment, the working state data of the electromechanical device refers to the working state data of the device in the actual working process, and the life state prediction result refers to the life prediction result of the electromechanical device.
Specifically, the real-time working state data of the electromechanical equipment is input into a reliability analysis model of the equipment by recording the working state data of the rail transit equipment in real time in the working process, the reliability analysis model of the equipment analyzes the reliability of the electromechanical equipment by using the real-time working state data of the electromechanical equipment, the service life prediction result of the electromechanical equipment is analyzed and evaluated, the reliability analysis function of the electromechanical equipment is completed, and a maintenance plan is conveniently made for the electromechanical equipment by a maintenance worker according to the service life prediction result of the electromechanical equipment.
In the embodiment, during the reliability evaluation of the rail transit electromechanical equipment, the working data of each electromechanical equipment is recorded in real time, historical work ledger data of the electromechanical equipment is formed along with the accumulation of time, the fault sample data and the fault occurrence time of the electromechanical equipment in the working process are obtained by using the historical work ledger data of the electromechanical equipment, the fault sample data and the fault occurrence time of the electromechanical equipment are used for calculating an equipment reliability factor, an equipment reliability analysis model of the electromechanical equipment is constructed by using the reliability factor and the equipment fault sample data, so that different electromechanical equipment in a rail transit system can use the equipment reliability analysis model suitable for the equipment for reliability analysis, the accuracy of the reliability evaluation result of the rail transit electromechanical equipment is effectively improved, the working state data of the rail transit electromechanical equipment is recorded in real time, the reliability analysis of the electromechanical equipment is carried out through the trained equipment reliability analysis model and the working state data of the electromechanical equipment, the reliability analysis result of the electromechanical equipment is obtained, the life state prediction result of the electromechanical equipment is obtained, the usable life state of the electromechanical equipment can be evaluated, the usable life time of the electromechanical equipment can be conveniently maintained according to the usable life time of the electromechanical equipment, the reliability analysis of the electromechanical equipment is completed, the reliability analysis of the electromechanical equipment, the reliability analysis of the whole reliability of the rail transit equipment is effectively improved, and the reliability evaluation result of the reliability is effectively, and the reliability of the rail transit equipment is effectively improved by adopting the manual maintenance experience.
In an embodiment, as shown in fig. 2, in step S20, that is, according to the device fault sample data and the fault occurrence time, determining a device reliability factor specifically includes:
s21: and acquiring the number of fault samples based on the equipment fault sample data.
In the present embodiment, the number of failure samples refers to the number of failures occurring in the electromechanical device.
Specifically, the fault data of the electromechanical device are sorted and extracted, so that the fault number of the electromechanical device in the working process can be obtained, and the reliability evaluation parameters of the electromechanical device can be calculated by using the fault number data of the electromechanical device.
S22: and calculating a reliability factor according to the number of the fault samples and the fault occurrence time.
Specifically, the number of faults occurring in a plurality of electromechanical devices and the corresponding fault of each fault are obtainedFault time, determining reliability evaluation parameters corresponding to each electromechanical device based on the number of faults and the fault time of each fault, and utilizing a neutral rank formula
And calculating a corresponding median rank based on the number of faults and the fault time of each fault, and taking the calculated value as a reliability evaluation parameter of the corresponding electromechanical device, wherein R (t) is the reliability evaluation parameter, and i =1,2, 3.
In an embodiment, as shown in fig. 3, in step S30, that is, constructing an apparatus reliability analysis model by using the apparatus reliability factor and the apparatus fault sample data specifically includes:
s31: and acquiring performance fault data and burst fault data according to the equipment fault sample data, and establishing an equipment simulation model based on the performance fault data and the burst fault data.
In this embodiment, the performance fault data refers to fault data of performance fault of the electromechanical device, the burst fault data refers to fault data of sudden occurrence of the electromechanical device, where the fault data does not belong to the performance fault, and the device simulation model refers to a model for simulating the operating condition of the electromechanical device.
Specifically, collected fault data of the electromechanical device are sorted and processed, fault data which belong to performance faults and fault data which do not belong to the performance faults and suddenly occur to the electromechanical device are screened out from the collected fault data, a working simulation model of the electromechanical device is built based on the fault data which occur to the performance faults and the fault data which do not belong to the performance faults and suddenly occur to the electromechanical device, and the working condition of the electromechanical device can be simulated.
S32: and determining model parameters based on the equipment reliability factor, and inputting the model parameters into an equipment simulation model to obtain an equipment reliability typing model.
In this embodiment, the model parameters refer to parameters for constructing the reliability analysis model.
Specifically, parameters for building a reliability analysis model are obtained through reliability evaluation parameters of the electromechanical device, the device simulation model is trained through the parameters for building the reliability analysis model, the reliability analysis model of the electromechanical device is obtained, in the process of building the device reliability analysis model, performance faults and accidental faults of the electromechanical device are considered, the electromechanical device can be comprehensively evaluated, and the comprehensiveness of reliability analysis results of the electromechanical device is improved.
In an embodiment, as shown in fig. 4, in step S31, building an equipment simulation model based on the performance fault data and the burst fault data specifically includes:
s311: and acquiring performance fault occurrence probability based on the performance fault data, and constructing a preliminary simulation model according to the performance fault occurrence probability.
In this embodiment, the performance fault occurrence probability refers to a probability of performance fault occurrence of the electromechanical device, and the preliminary simulation model refers to a model for performing condition simulation on the electromechanical device.
Specifically, the fault data of the performance fault of the electromechanical equipment is counted to obtain the probability of the performance fault of the electromechanical equipment, a primary simulation model is constructed on the basis of the probability of the performance fault of the electromechanical equipment, and the primary simulation model can simulate the fault time of the performance fault of the electromechanical equipment in the subsequent working process and the performance fault condition.
S312: and acquiring the occurrence probability of the sudden fault according to the sudden fault data, and modifying the primary simulation model based on the occurrence probability of the sudden fault to obtain an equipment simulation model.
In the present embodiment, the burst failure occurrence probability refers to a probability that the electromechanical device has a failure that is not a performance failure.
Specifically, the fault data of faults except the performance fault of the electromechanical equipment are counted, the probability that the electromechanical equipment has the fault which does not belong to the performance fault is obtained, the primary simulation model is modified on the basis of the probability that the electromechanical equipment has the fault which does not belong to the performance fault, the primary simulation model is changed into an equipment simulation model, then the equipment simulation model can simulate the condition that the performance fault or the sudden fault occurs to the electromechanical equipment, all fault conditions of the electromechanical equipment are considered comprehensively, and the accuracy of the reliability evaluation result of the electromechanical equipment is effectively improved.
In an embodiment, as shown in fig. 5, in step S40, that is, acquiring the working state data of the electromechanical device in real time, and inputting the working state data of the electromechanical device into the device reliability analysis model to obtain a life state prediction result, specifically includes:
s41: and inputting the working state data of the electromechanical equipment into an equipment reliability analysis model to obtain an equipment service life value.
In this embodiment, the device life value refers to a life time of the electromechanical device that can be continuously used.
Specifically, the reliability analysis model of the device can analyze the sustainable service life time of the electromechanical device by using the collected real-time working data of the electromechanical device.
S42: and determining the service time of the electromechanical equipment based on the equipment value, and taking the service time of the electromechanical equipment as a life state prediction result.
In this embodiment, the service time of the electromechanical device refers to a time period during which the device safely operates.
Specifically, the safe working time period of the electromechanical equipment is determined and obtained through the sustainable service life time of the electromechanical equipment, the service life condition of the electromechanical equipment is obtained, and a maintenance plan of the electromechanical equipment is conveniently made by a worker.
In an embodiment, as shown in fig. 6, in step S41, inputting the operating state data of the electromechanical device into the device reliability analysis model to obtain a device lifetime value specifically includes:
s411: and determining the normal working probability of the equipment after the working time increment of the equipment based on the reliability analysis model of the equipment.
In this embodiment, the probability of normal operation of the device refers to the probability that the electromechanical device can operate normally.
Specifically, the operating state data of the electromechanical device is analyzed through the device reliability analysis model, so that the probability that the electromechanical device can normally operate in the future time period is obtained.
S412: and determining the service life value of the equipment based on the normal working probability of the equipment.
Specifically, the service life time of the sustainable service of the equipment can be estimated through the probability that the electromechanical equipment can work normally in a future time period, so that the service life condition of the equipment can be conveniently obtained through the normal work probability analysis of the equipment, and the service life estimation function of the electromechanical equipment is realized.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
In an embodiment, a reliability evaluation device of an electromechanical device is provided, and the reliability evaluation device of the electromechanical device corresponds to the reliability evaluation method of the electromechanical device in the above embodiment one to one. As shown in fig. 7, the reliability evaluation apparatus for an electromechanical device includes a fault data acquisition module, a reliability factor acquisition module, a model construction module, and a device reliability analysis module. The functional modules are explained in detail as follows:
the fault data acquisition module is used for acquiring equipment fault sample data and fault occurrence time based on historical work ledger data; the reliability factor acquisition module is used for determining the reliability factor of the equipment according to the equipment fault sample data and the fault occurrence time;
the model construction module is used for constructing an equipment reliability analysis model by utilizing the equipment reliability factor and the equipment fault sample data; and the equipment reliability analysis module is used for acquiring the working state data of the electromechanical equipment in real time, and inputting the working state data of the electromechanical equipment into the reliability analysis model to obtain a life state prediction result.
Optionally, the model building module includes:
and the fault probability calculation submodule is used for acquiring performance fault data and burst fault data according to the equipment fault sample data, establishing an equipment simulation model based on the performance fault data and the burst fault data, determining model parameters based on the equipment reliability factor, and inputting the model parameters into the equipment simulation model to obtain an equipment reliability typing model.
For the specific definition of the reliability evaluation device of the electromechanical device, reference may be made to the above definition of the reliability evaluation method of the electromechanical device, which is not described herein again. The modules in the reliability evaluation device of the electromechanical device can be wholly or partially realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent of a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 8. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer equipment is used for storing historical work ledger data, fault sample data, fault occurrence time and an equipment reliability analysis model. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of reliability assessment of an electromechanical device.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring equipment fault sample data and fault occurrence time based on historical work ledger data;
determining equipment reliability factor according to the equipment fault sample data and the fault occurrence time;
constructing an equipment reliability analysis model by using the equipment reliability factor and equipment fault sample data;
and acquiring the working state data of the electromechanical equipment in real time, and inputting the working state data of the electromechanical equipment into the reliability analysis model to obtain a life state prediction result.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring equipment fault sample data and fault occurrence time based on historical work ledger data;
determining equipment reliability factor according to the equipment fault sample data and the fault occurrence time;
constructing an equipment reliability analysis model by using the equipment reliability factor and equipment fault sample data;
and acquiring the working state data of the electromechanical equipment in real time, and inputting the working state data of the electromechanical equipment into the reliability analysis model to obtain a life state prediction result.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), rambus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. A reliability evaluation method of an electromechanical device, characterized by comprising the steps of:
acquiring equipment fault sample data and fault occurrence time based on historical work ledger data;
determining equipment reliability factor according to the equipment fault sample data and the fault occurrence time;
constructing an equipment reliability analysis model by using the equipment reliability factor and the equipment fault sample data;
and acquiring the working state data of the electromechanical equipment in real time, and inputting the working state data of the electromechanical equipment into the reliability analysis model to obtain a life state prediction result.
2. The method according to claim 1, wherein determining an equipment reliability factor according to the equipment fault sample data and the fault occurrence time specifically comprises:
acquiring the number of fault samples based on the equipment fault sample data;
and calculating a reliability factor according to the number of the fault samples and the fault occurrence time.
3. The method according to claim 1, wherein the constructing a device reliability analysis model by using the device reliability factor and device fault sample data specifically comprises:
acquiring performance fault data and burst fault data according to the equipment fault sample data, and establishing an equipment simulation model based on the performance fault data and the burst fault data;
and determining model parameters based on the equipment reliability factor, and inputting the model parameters into an equipment simulation model to obtain an equipment reliability typing model.
4. The method according to claim 3, wherein the establishing of the device simulation model based on the performance fault data and the burst fault data specifically comprises:
acquiring performance fault occurrence probability based on the performance fault data, and constructing a primary simulation model according to the performance fault occurrence probability;
and acquiring the occurrence probability of the sudden fault according to the sudden fault data, and modifying the primary simulation model based on the occurrence probability of the sudden fault to obtain an equipment simulation model.
5. The method according to claim 1, wherein the obtaining of the operating state data of the electromechanical device in real time and the inputting of the operating state data of the electromechanical device into the device reliability analysis model to obtain the life state prediction result specifically include:
inputting the working state data of the electromechanical equipment into an equipment reliability analysis model to obtain an equipment service life value;
and determining the service time of the electromechanical equipment based on the equipment value, and taking the service time of the electromechanical equipment as a life state prediction result.
6. The method according to claim 5, wherein the step of inputting the operating state data of the electromechanical device into a device reliability analysis model to obtain a device lifetime value comprises:
determining the normal working probability of the equipment after the working time increment of the equipment based on the reliability analysis model of the equipment;
and determining the service life value of the equipment based on the normal working probability of the equipment.
7. An apparatus for evaluating reliability of an electromechanical device, comprising:
the fault data acquisition module is used for acquiring equipment fault sample data and fault occurrence time based on historical work ledger data;
the reliability factor acquisition module is used for determining the reliability factor of the equipment according to the equipment fault sample data and the fault occurrence time;
the model construction module is used for constructing an equipment reliability analysis model by utilizing the equipment reliability factor and the equipment fault sample data;
and the equipment reliability analysis module is used for acquiring the working state data of the electromechanical equipment in real time, and inputting the working state data of the electromechanical equipment into the reliability analysis model to obtain a life state prediction result.
8. The reliability evaluation device of an electromechanical device according to claim 7, wherein the model construction module comprises:
and the fault probability calculation submodule is used for acquiring performance fault data and burst fault data according to the equipment fault sample data, establishing an equipment simulation model based on the performance fault data and the burst fault data, determining model parameters based on the equipment reliability factor, and inputting the model parameters into the equipment simulation model to obtain an equipment reliability classification model.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of a method for reliability assessment of an electromechanical device according to any of the claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method for reliability assessment of an electromechanical device according to any one of claims 1 to 6.
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