CN109118097B - Reliability maintainability guarantee assessment method and device - Google Patents
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Abstract
The invention relates to the technical field of maintenance, and provides a reliability maintainability guarantee assessment method and device. The method comprises the steps of selecting a maintenance path matched with the fault type according to the fault type so as to transfer a maintenance task of the fault to a discrete event maintenance model of the corresponding maintenance path; configuring a corresponding repair queue, resources for guaranteeing maintenance and repair personnel for the discrete event maintenance model according to a resource pool owned by the system; and when the maintenance of the discrete event maintenance model is completed, sending a message of completion of the maintenance to the located fault Agent model. The invention organically integrates the advantages of the Agent and the discrete event maintenance model, can carry out integrated simulation evaluation on the reliability, maintainability and supportability of the complex system, and effectively improves the general quality characteristic evaluation level of the complex system.
Description
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of maintenance, in particular to a method and a device for evaluating reliability maintainability guarantee.
[ background of the invention ]
The traditional system reliability analysis method is mainly based on an analysis method, the assumption of the system is often harsh, for example, the service life of the system composition units must obey exponential distribution, the fault probabilities of different units are mutually independent, and the like, but the system in reality often hardly meets the assumption, so that the problem of solving the reliability analysis of the complex system by using a computer simulation method becomes the only choice. However, in the actual situation, the reliability, maintainability and supportability are often considered comprehensively, and the single simulation method is difficult to solve the problems.
In view of the above, overcoming the drawbacks of the prior art is an urgent problem in the art.
[ summary of the invention ]
The invention aims to solve the technical problems that the existing reliability, maintainability and supportability evaluation methods are mutually split and cannot be modeled uniformly, and provides a reliability maintainability and supportability simulation evaluation method based on the combination of a multi-agent system and a discrete event system, so that the integrated modeling of three properties is realized, and the universal quality characteristic of equipment is better reflected.
The invention adopts the following technical scheme:
in a first aspect, the invention provides a reliability maintainability guarantee assessment method, which comprises the steps of setting one or more fault agents according to a component object and/or a subsystem object which has fault risks and is contained in a system; each fault Agent comprises one or more attributes of fault type, associated fault, fault rate and fault state; the system further comprises one or more discrete event maintenance models, each discrete event maintenance model is identified through a maintenance path and used for providing maintenance service for the fault Agent, and the method comprises the following steps:
simulating and triggering the occurrence of fault events in corresponding fault agents according to the fault rate of each fault Agent;
according to the fault type and the associated fault of the fault Agent with the fault event, the fault state of the corresponding fault Agent is modified, and a maintenance path matched with the fault Agent is selected according to the fault type so as to transfer the maintenance task of the fault to a discrete event maintenance model corresponding to the maintenance path; the correlation fault is an attribute which causes other fault agents to trigger fault events when the fault agents trigger the fault events;
configuring a corresponding repair queue, resources for guaranteeing maintenance and repair personnel for the discrete event maintenance model according to a resource pool owned by the system;
when the maintenance of the discrete event maintenance model is completed, sending a repaired message to the located fault Agent model so that the corresponding fault Agent can adjust the fault state to a normal state and the system feeds back a maintenance report; the discrete event maintenance model is calculated and completed according to historical mapping relations among maintenance personnel, maintenance tasks of the discrete event maintenance model and corresponding task completion time.
Preferably, the resource pool owned by the system is pre-imported into the system by an operator according to the entity resources owned by the system; when the entity resources for ensuring maintenance are put into the warehouse, the entity resources are input into the system in a code scanning mode, an RF signal identification mode or an Internet of things mode; the repair personnel of the entity inputs the system through the intelligent equipment carried by the repair personnel;
when the entity resources for ensuring maintenance are used for ex-warehouse, the system is exported in a code scanning mode, an RF signal identification mode or an Internet of things mode; when the repair personnel of the entity is allocated to the designated discrete event maintenance model and performs a maintenance task, the system adjusts the identification of the repair personnel in the resource pool from the usable identification to the identification in use; wherein the system adjusts the identity of the repair person in the resource pool from the identity in use to an identity that is usable when the repair person is performing a repair task that repairs the model at the specified discrete event.
Preferably, the repair staff receives the completion of the maintenance task and reports the completion of the maintenance task, and the completion of the maintenance task and the reporting of the completion of the maintenance task are both completed through intelligent equipment connected with the system;
the system counts the task time required by each maintenance worker to complete the maintenance task of the designated discrete event maintenance model according to the time node for delegating the maintenance task of the maintenance worker and the time node for receiving the completion of the maintenance task reported by the intelligent equipment;
the system establishes a historical mapping relation according to the counted task completion time, the maintenance task of the designated discrete event maintenance model and the identification of the maintenance personnel; and the system calculates the time required by the maintenance task of each discrete event maintenance model to be completed according to the historical mapping relation, and the time is used for generating the maintenance report.
Preferably, the failure rate of each failure Agent is obtained by counting failures of the equipment corresponding to each failure Agent in an actual situation;
the system generates a fault script for one or more fault agents with the importance levels higher than a first preset threshold and/or the fault rates higher than a second preset threshold according to the importance levels and/or the fault rates of the fault agents;
triggering the occurrence of fault events of one or more corresponding fault agents according to the fault script, and storing a generated maintenance report after the fault event repair is completed through a corresponding discrete event maintenance model;
and establishing an index item for the maintenance report so that when corresponding equipment in a subsequent entity environment has a fault, an optimal maintenance strategy and/or maintenance time evaluation can be determined directly by searching the stored maintenance report.
Preferably, the system determines whether the change of the entity resource causes the difference between the parameter result and the stored maintenance report to exceed a third preset threshold according to the change condition of the entity resource;
if the fault is updated, the script is used, a maintenance report is regenerated, and a historical stored maintenance report is updated; and an index item is established for the updated maintenance report, so that when corresponding equipment in the subsequent entity environment fails, the optimal maintenance strategy and/or maintenance time evaluation can be determined directly by searching the stored maintenance report.
Preferably, the setting one or more fault agents according to a component object and/or a subsystem object included in the system and having a fault risk specifically includes:
according to one or more of a preset scheduling time interval of an entity resource which is guaranteed to be maintained, an arrival time interval of an assigned maintenance person which arrives at a maintenance place, a maintenance time interval when the maintenance person finishes a specified equipment fault type and an allowable associated fault quantity interval of a fault Agent, a subsystem and/or a component object which forms a system and is contained in an entity environment are split into one or more fault agents;
the method comprises the steps that scheduling time of entity resources for guaranteeing maintenance is smaller than a third preset threshold, arrival time of assigned maintenance personnel arriving at a maintenance place is smaller than a fourth preset threshold, maintenance time of the maintenance personnel for completing specified equipment fault types is smaller than a fifth preset threshold, fault agents of which the allowable associated fault quantity is smaller than a sixth preset threshold are marked as steady-state fault agents, and repair time of the steady-state fault agents is marked as reference time; so that the floating time of the unsteady fault Agent corresponding to the unsteady fault Agent constitutes the maintenance report.
Preferably, the maintenance report is composed of a reference time corresponding to one or more steady-state fault agents and a floating time corresponding to one or more unsteady-state fault agents, and the method further includes:
receiving a fault request of a first user, wherein the fault request carries a device identifier of a fault and description information of a corresponding fault;
the system analyzes the fault request to obtain one or more fault agents matched with the equipment identification of the fault and the description information of the corresponding fault; searching a maintenance report stored on a system side through the one or more fault agents;
if the first maintenance report is found to include each fault Agent corresponding to the fault request, and the maintenance time corresponding to each fault Agent is the reference time, feeding back the first maintenance report to the first user;
if the first maintenance report contains one or more reference time items belonging to other fault agents besides each fault Agent corresponding to the fault request, the system directly eliminates the reference time items corresponding to other fault agents in the first maintenance report, and feeds the first maintenance report after the elimination operation back to the first user;
if the first maintenance report is found to just contain each fault Agent corresponding to the fault request, and the maintenance time corresponding to each fault Agent contains the floating time item of the unsteady fault Agent, the system carries out real-time simulation calculation on the unsteady fault Agent corresponding to the floating time item respectively to obtain the floating time, and feeds back the floating time to the first user after integrating the floating time with the reference time item of the steady fault Agent corresponding to the fault request in the first maintenance report.
Preferably, the system performs instant simulation calculation for the unsteady-state fault agents corresponding to the floating time items, specifically including:
the system collects one or more of the scheduling time of the entity resources which currently guarantee maintenance, the arrival time of the assigned maintenance personnel at the maintenance location, the maintenance time of the specified equipment fault type completed by the maintenance personnel, and the allowable associated fault quantity of the fault agents, and calculates the floating time required by repairing the corresponding unsteady fault agents in the current entity environment.
Preferably, under the condition that the entity environment is changed, if the entity environment originally belongs to an unstable fault Agent, one or more of the scheduling time length of the entity resource for guaranteeing the maintenance, the arrival time length for assigning maintenance personnel to arrive at the maintenance place, the maintenance time length for the maintenance personnel to finish the specified equipment fault type and the allowable associated fault quantity of the fault Agent are correspondingly selected, so that the judgment requirement of the stable fault Agent is met; and modifying the corresponding unstable fault Agent into a stable fault Agent so as to directly use the reference time modified into the stable fault Agent as a parameter item of a maintenance report fed back to the user when the fault request of the user is received.
In a second aspect, the present invention further provides a reliability maintainability guarantee assessment apparatus for implementing the reliability maintainability guarantee assessment method according to the first aspect, the apparatus including:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor and programmed to perform the reliability serviceability guarantee assessment method of the first aspect.
In a third aspect, the present invention also provides a non-transitory computer storage medium storing computer-executable instructions for execution by one or more processors for performing the reliability maintainability assurance assessment method of the first aspect.
The invention utilizes autonomy, sociality, reflectivity and activity of the Agent mechanism, and transmits the fault state maintained by the Agent to the discrete event maintenance model matched with the Agent for processing according to the discrete characteristic of the existing problem, fully utilizes the discrete characteristic, the hierarchical characteristic and the dynamic characteristic of the discrete event maintenance model, and can generate extremely high adaptability to a single maintenance task; the embodiment of the invention organically integrates the advantages of the two, thereby improving the reliability, maintainability and supportability of maintenance evaluation.
Compared with a single multi-Agent simulation system idea, the method mainly has the following advantages: 1, the maintenance support simulation part is shared by the discrete event system simulation, so that excessive Agent message transmission is reduced, and the simulation efficiency is improved; 2, the simulation model is telescopic, when the maintainability and the supportability do not need to be considered too much, the simulation part of the discrete event system can be removed, the maintenance process is simplified into a timing state conversion of the fault Agent, and the modification workload is very small.
Compared with a single discrete event system simulation idea, the simulation idea mainly has the following advantages: 1, a fault generation part can be simulated by using multiple agents, so that the simulation modeling pressure of a discrete event system is reduced; 2, the propagation of the fault can be simulated by using an Agent message mechanism, which cannot be realized by the traditional method.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below. It is obvious that the drawings described below are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a schematic diagram of an Agent and discrete time maintenance model integrated modeling structure provided by an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for reliability maintainability assurance assessment according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method implemented based on storing a repair report according to an embodiment of the present invention;
FIG. 4 is a flow chart of a response method for refining a maintenance report according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a reliability maintainability assurance evaluating apparatus according to an embodiment of the present invention;
FIG. 6 is a block diagram of system reliability provided by an embodiment of the present invention;
FIG. 7 is a schematic diagram of a fault model provided by an embodiment of the invention;
FIG. 8 is a schematic view of a maintenance and assurance model provided by an embodiment of the present invention;
FIG. 9 is a flow chart of a simulation of reliability maintainability assurance evaluation according to an embodiment of the present invention.
[ detailed description ] embodiments
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the description of the present invention, the terms "inner", "outer", "longitudinal", "lateral", "upper", "lower", "top", "bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are for convenience only to describe the present invention without requiring the present invention to be necessarily constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
An Agent is a software entity with adaptivity and intelligence, which can perform a job in an active service manner on behalf of a user or other program. The Agent has the characteristics of autonomy, interactivity, reactivity, initiative and the like, and a single Agent is difficult to solve large-scale complex problems existing in a dynamic open environment. In general, a system composed of multiple agents is called a multi-Agent system, and multiple Agent members of the system coordinate with each other and serve with each other to jointly complete a task. The Agent technology is very beneficial to building a complex simulation system with reliability, maintainability and supportability from bottom to top, but if a pure Agent technology is adopted to build a simulation model, a main problem brought about is that the message transmission among agents is too much, and the simulation efficiency is seriously influenced.
The discrete event system is driven by events, the system state only changes at discrete time points, various queuing systems are discrete event systems, and most of the business processes in the real world can be described as the discrete event system, so the discrete event simulation system is widely applied to the fields of production, logistics, military and the like. However, a pure discrete event simulation system generally needs to establish a discrete event simulation table to schedule a simulation model, and when the system is complex, a developer needs to consider too many details to ensure the correctness of the simulation table, so that the development difficulty is high. For reliability maintainability guarantee simulation systems, discrete event simulation systems lack an effective mechanism for describing fault delivery.
The reliability assessment problem of a complex system is considered, and the key is how to model various fault modes in the system and simulate the mutual influence between faults. Therefore, the invention is to adopt Agent to simulate various failure modes and utilize Agent's message mechanism to simulate failure delivery, as shown in fig. 1, which is the expression form of the corresponding mechanism.
After a fault is generated, the repair of the fault and the attendant provisioning of resources is a typical queuing problem that can be modeled using a discrete event system. Therefore, the idea of the reliability maintainability supportability integrated modeling of the invention is as follows: the generation and the propagation of faults are simulated by using a multi-Agent simulation model, the maintenance and the guarantee of the faults are simulated by using a discrete event system simulation model, the two models are connected by a message mechanism to form an organic whole, and the integrated modeling of the three-property model is finally completed.
Example 1:
before describing the evaluation method, related content elements in an implementation environment are introduced, wherein one or more fault agents are set according to a component object and/or a subsystem object which are contained in a system and have fault risks; each fault Agent comprises one or more attributes of fault type, associated fault, fault rate and fault state; the system further comprises one or more discrete event maintenance models, each discrete event maintenance model is identified through a maintenance path and used for providing maintenance service for the fault Agent, and the method comprises the following steps:
in step 201, according to the failure rate of each failure Agent, the occurrence of a failure event in the corresponding failure Agent is triggered in a simulation manner.
In a specific implementation process, each device sets a life cycle according to its performance, and the corresponding failure rate is dynamically adjusted according to the obtained length of the used life of the corresponding device (the obtaining manner may be reported by relevant security check personnel according to field investigation), that is, in general, the longer the service life corresponding to the device statistics, the higher the corresponding failure rate.
In step 202, according to the fault type and the associated fault of the fault Agent with the fault event, the fault state of the corresponding fault Agent is modified, and according to the fault type, a maintenance path matched with the fault Agent is selected, so that the maintenance task of the fault is transferred to the discrete event maintenance model of the corresponding maintenance path.
The related fault is an attribute which causes other fault agents to trigger fault events when the fault agents trigger the fault events.
In step 203, according to the resource pool owned by the system, a corresponding repair queue, resources for ensuring repair, and repair personnel are configured for the discrete event maintenance model.
In step 204, when the maintenance of the discrete event maintenance model is completed, a message of completion of the maintenance is sent to the located failure Agent model, so that the corresponding failure Agent adjusts the failure state to the normal state, and a maintenance report is fed back by the system.
The discrete event maintenance model is calculated and completed according to historical mapping relations among maintenance personnel, maintenance tasks of the discrete event maintenance model and corresponding task completion time.
The embodiment of the invention utilizes the autonomy, sociality, reflectivity and activity of the Agent mechanism, and transfers the fault state maintained by the Agent to the discrete event maintenance model matched with the Agent for processing according to the discrete characteristic of the existing problem, fully utilizes the discrete characteristic, the hierarchical characteristic and the dynamic characteristic of the discrete event maintenance model, and can generate extremely high adaptability to a single maintenance task; the embodiment of the invention organically integrates the advantages of the two, thereby improving the reliability, maintainability and supportability of maintenance evaluation.
Compared with the idea of a single multi-Agent simulation system, the method for evaluating the security provided by the embodiment of the invention mainly has the following advantages: 1, the maintenance support simulation part is shared by the discrete event system simulation, so that excessive Agent message transmission is reduced, and the simulation efficiency is improved; 2, the simulation model is telescopic, when the maintainability and the supportability do not need to be considered too much, the simulation part of the discrete event system can be removed, the maintenance process is simplified into a timing state conversion of the fault Agent, and the modification workload is very small.
Compared with a single discrete event system simulation thought, the method for evaluating the security provided by the embodiment of the invention mainly has the following advantages: 1, a fault generation part can be simulated by using multiple agents, so that the simulation modeling pressure of a discrete event system is reduced; 2, the propagation of the fault can be simulated by using an Agent message mechanism, which cannot be realized by the traditional method.
Relevant parameters in the evaluation method provided by the embodiment of the invention are integrated according to historical experience values and/or currently owned resource data in an actual environment, so that a preferable implementation scheme also exists in combination with the embodiment of the invention, wherein a resource pool (including the historical experience values and/or the currently owned resource data) owned by the system is pre-imported into the system by an operator according to entity resources owned by the system; when the entity resources for ensuring maintenance are stored in the warehouse, the entity resources are input into the system in a code scanning mode, an RF signal identification mode or an Internet of things (for example, the Internet of things is realized by combining a 5G network and IPv 6) mode; the repair personnel of the entity inputs the system through the intelligent equipment carried by the repair personnel; the intelligent device of the embodiments of the present invention may exist in various forms, including but not limited to: (1) a mobile communication device: such devices are characterized by mobile communications capabilities and are primarily targeted at providing voice, data communications. Such terminals include smart phones (e.g., iphones), multimedia phones, functional phones, and low-end phones, among others. (2) The ultra-mobile personal computer equipment belongs to the category of personal computers, has calculation and processing functions and generally has the characteristic of mobile internet access. Such terminals include: PDA, MID, and UMPC devices, etc., such as ipads. (3) Other electronic devices with the ability to install customized APPs.
When the entity resources for ensuring maintenance are used for ex-warehouse, the system is exported in a code scanning mode, an RF signal identification mode or an Internet of things mode; when the repair personnel of the entity is allocated to the designated discrete event maintenance model and performs a maintenance task, the system adjusts the identification of the repair personnel in the resource pool from the usable identification to the identification in use; wherein the system adjusts the identity of the repair person in the resource pool from the identity in use to an identity that is usable when the repair person is performing a repair task that repairs the model at the specified discrete event.
According to the preferred implementation scheme, the entity resource pool owned by the system is classified into the current maintenance evaluation method, so that the calculated result has higher reliability and maintainability. When the evaluation method provided by the invention is applied to a situation that equipment and/or subsystem faults occur in practice, the corresponding evaluation result can be received by the intelligent equipment of a maintenance worker and used as a reference of maintenance progress. Each maintenance person can feed back an equipment identifier or a subsystem identifier responsible for the maintenance person to the system in real time through each self-contained intelligent equipment, so that the system can be matched with a corresponding discrete event maintenance model and call a fault Agent of the discrete event maintenance model through the equipment identifier or the subsystem identifier, and therefore an evaluation calculation method established according to an entity fault environment at present can be updated, and a real-time maintenance report is obtained. Wherein the maintenance report is provided to each participant in the maintenance process to confirm the overall maintenance schedule.
In the specific implementation process of the embodiment of the invention, in consideration of further improving the reliability and maintainability of the evaluation result, a preferable implementation scheme is provided in combination with the embodiment of the invention, wherein the skill level and the historical maintenance record of the maintenance personnel in the resource pool are further counted, the completion task time of the designated maintenance task, the maintenance task of the designated discrete event maintenance model and the maintenance personnel identity are processed by the maintenance personnel, and the historical mapping relation is established for the system to calculate the maintenance evaluation method, so that the reliability and maintainability of the evaluation result are further improved. Specifically, the repair staff receives the completion of the maintenance task and reports the completion of the maintenance task, and the completion of the maintenance task is completed through intelligent equipment connected with the system;
the system counts the task time required by each maintenance worker to complete the maintenance task of the designated discrete event maintenance model according to the time node for delegating the maintenance task of the maintenance worker and the time node for receiving the completion of the maintenance task reported by the intelligent equipment;
the system establishes a historical mapping relation according to the counted task completion time, the maintenance task of the designated discrete event maintenance model and the identification of the maintenance personnel; and the system calculates the time required by the maintenance task of each discrete event maintenance model to be completed according to the historical mapping relation, and the time is used for generating the maintenance report.
Through the above preferred implementation scheme, the maintenance assessment method provided by the embodiment of the invention can refine the skill proficiency of a specific maintenance person, wherein, especially when the system allocates a maintenance task which is completed historically to the same maintenance person, a weighted value (a specific parameter value is a certain value between [0 and 1 ]) can be added to the time of the completion task in the historical mapping relationship recorded by the system so as to represent the improvement of the efficiency of the maintenance person in processing the same maintenance task, thereby improving the maintainability of the maintenance assessment method provided by the embodiment of the invention.
In the embodiment of the present invention, in addition to providing the dynamic calculation manner as described in embodiment 1, a static calculation manner is provided to feed back the maintenance report. However, considering that in practical situations, the combination of possible faults may approach infinity due to the difference of the complexity of the system, further constraints and limitations are made in the present static calculation extension. Specifically, the failure rate of each failure Agent is obtained by counting failures of the device corresponding to each failure Agent in an actual situation, as shown in fig. 3, where the static calculation process includes:
in step 301, the system generates a fault script for one or more fault agents with the importance levels higher than a first preset threshold and/or the fault rates higher than a second preset threshold according to the importance levels and/or the fault rates of the fault agents.
In step 302, the fault event of the corresponding one or more fault agents is triggered to occur according to the fault script, and after the fault event repair is completed through the corresponding discrete event repair model, the generated repair report is stored.
In step 303, an index entry is created for the maintenance report, so that when a corresponding device in the subsequent physical environment fails, an optimal maintenance strategy and/or maintenance time evaluation can be determined directly by searching the stored maintenance report.
Based on the static calculation manner, the maintenance report initially calculated and stored in the system is not invariable, and in the embodiment of the present invention, an update mechanism is also provided, so that the maintenance report stored correspondingly and on the system side can be updated when necessary, thereby ensuring the reliability of the maintenance report used. Because, the possibility of change of the resource pool (including the entity resource for which maintenance is guaranteed and the maintenance person of the entity, which is also referred to as the entity resource in the present invention) in the actual scene is taken into consideration. And the system determines whether the change of the entity resource causes the difference between the parameter result and the stored parameter result of the maintenance report to exceed a third preset threshold according to the change condition of the entity resource.
Wherein, the third preset threshold is set according to the specific maintenance report type, for example: when the discrete-time maintenance model represented in the maintenance report is typically limited by resources (e.g., specific maintenance instruments) for ensuring maintenance and/or repair personnel (e.g., expert engineers), if the resources and/or repair personnel for ensuring maintenance of the corresponding discrete-time maintenance model are added to the resource pool, the maintenance report needs to be recalculated if the added quantity exceeds the original 10% (i.e., the third preset value). For another example: further extending the scheme provided by the present invention, when the external transportation capacity and the associated networking performance support need to be considered for supporting resources for ensuring maintenance, at this time, if the external transportation capacity and the associated networking performance have 5% to 30% performance improvement (i.e. the third preset value is set above, and if the base number is larger, the corresponding third preset value is configurable to be relatively smaller) when comparing the historical calculation maintenance report, an update calculation process of the maintenance report also needs to be performed.
If the fault is updated, the script is used, a maintenance report is regenerated, and a historical stored maintenance report is updated; and an index item is established for the updated maintenance report, so that when corresponding equipment in the subsequent entity environment fails, the optimal maintenance strategy and/or maintenance time evaluation can be determined directly by searching the stored maintenance report.
Each expansion scheme is combined with an entity resource pool to further improve the reliability and maintainability of the maintenance evaluation method provided by the invention; although the extended implementation of improving the response efficiency of the user maintenance request is also realized by generating the static maintenance report according to the importance, the two extended implementation schemes do not adopt the data composition of the maintenance report to carry out the mining of the extended scheme. In the extended implementation scheme, the fault agents are further analyzed according to the difference of the data composition of the maintenance report, and the difference of the discrete maintenance model is subjected to refined management and control. Wherein, according to the component object and/or subsystem object with failure risk included in the system, one or more failure agents are set, which specifically includes:
according to one or more of a preset scheduling time interval of an entity resource which is guaranteed to be maintained, an arrival time interval of an assigned maintenance person which arrives at a maintenance place, a maintenance time interval when the maintenance person finishes a specified equipment fault type and an allowable associated fault quantity interval of a fault Agent, a subsystem and/or a component object which forms a system and is contained in an entity environment are split into one or more fault agents;
the method comprises the steps that scheduling time of entity resources for guaranteeing maintenance is smaller than a third preset threshold, arrival time of assigned maintenance personnel arriving at a maintenance place is smaller than a fourth preset threshold, maintenance time of the maintenance personnel for completing specified equipment fault types is smaller than a fifth preset threshold, fault agents of which the allowable associated fault quantity is smaller than a sixth preset threshold are marked as steady-state fault agents, and repair time of the steady-state fault agents is marked as reference time; so that the floating time of the unsteady fault Agent corresponding to the unsteady fault Agent constitutes the maintenance report. And the third preset threshold, the fourth preset threshold, the fifth preset threshold and the sixth preset threshold are obtained by calculation according to the environment statistics specifically applicable to the system. The steady-state fault Agent and the corresponding authentication mode of the reference time provided by the extended scheme can be verified through another dimension besides the various judgment factors, namely the fluctuation interval between the task completion times of repairing the fault Agent is lower than 5% of the single task completion time historically, the fault Agent can be determined as the steady-state fault Agent, and the corresponding task completion time can be calibrated as the reference time.
Next, the above usage mechanism for distinguishing the steady-state failure Agent from the non-steady-state failure Agent is further described, specifically, the maintenance report is composed of a reference time corresponding to one or more steady-state failure agents and a floating time of one or more non-steady-state failure agents, as shown in fig. 4, and the method further includes:
in step 401, a failure request of a first user is received, where the failure request carries a device identifier of a failure and description information of a corresponding failure.
In step 402, the system analyzes the fault request to obtain one or more fault agents matched with the device identifier of the fault and the description information of the corresponding fault; and searching a maintenance report stored on the system side through the one or more fault agents.
In step 403, if each fault Agent corresponding to the fault request is found to be exactly contained in the first maintenance report, and the maintenance time corresponding to each fault Agent is the reference time, feeding back the first maintenance report to the first user;
in step 404, if the first maintenance report is found to include one or more reference time items belonging to other fault agents besides each fault Agent corresponding to the fault request, the system directly eliminates the reference time items corresponding to other fault agents in the first maintenance report, and feeds back the first maintenance report after the elimination operation to the first user.
In step 405, if each fault Agent corresponding to the fault request is found in the first maintenance report, and the maintenance time corresponding to each fault Agent includes a floating time item of an unsteady fault Agent, the system performs real-time simulation calculation on the unsteady fault Agent corresponding to the floating time item to obtain floating time, and feeds back the floating time to the first user after integrating the floating time with a reference time item of the steady fault Agent corresponding to the fault request in the first maintenance report.
The system respectively carries out instant simulation calculation for the unsteady-state fault agents corresponding to the floating time items, and specifically comprises the following steps:
the system collects one or more of the scheduling time of the entity resources which currently guarantee maintenance, the arrival time of the assigned maintenance personnel at the maintenance location, the maintenance time of the specified equipment fault type completed by the maintenance personnel, and the allowable associated fault quantity of the fault agents, and calculates the floating time required by repairing the corresponding unsteady fault agents in the current entity environment.
Further, under the condition that the entity environment is changed, if the entity environment originally belongs to an unstable fault Agent, one or more of the scheduling time length of the entity resource for guaranteeing the maintenance, the arrival time length for assigning maintenance personnel to arrive at the maintenance place, the maintenance time length for the maintenance personnel to finish the specified equipment fault type and the allowable associated fault quantity of the fault Agent are correspondingly selected, so that the judgment requirement of the stable fault Agent is met; and modifying the corresponding unstable fault Agent into a stable fault Agent so as to directly use the reference time modified into the stable fault Agent as a parameter item of a maintenance report fed back to the user when the fault request of the user is received.
Example 2:
fig. 5 is a schematic structural diagram of a reliability maintainability assurance evaluating apparatus according to an embodiment of the present invention. The reliability maintainability assurance evaluating apparatus of the present embodiment includes one or more processors 21 and a memory 22. In fig. 5, one processor 21 is taken as an example.
The processor 21 and the memory 22 may be connected by a bus or other means, and fig. 5 illustrates the connection by a bus as an example.
The memory 22, as a non-volatile computer-readable storage medium for a reliability maintainability assurance evaluation method and apparatus, may be used to store a non-volatile software program and a non-volatile computer-executable program, such as the reliability maintainability assurance evaluation method of embodiment 1. The processor 21 executes the reliability serviceability guarantee assessment method by executing the nonvolatile software program and instructions stored in the memory 22.
The memory 22 may include high speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 22 may optionally include memory located remotely from the processor 21, and these remote memories may be connected to the processor 21 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The program instructions/modules are stored in the memory 22 and, when executed by the one or more processors 21, perform the reliability serviceability guarantee assessment method of embodiment 1 described above, for example, performing the various steps shown in fig. 2-4 described above.
Example 3:
the embodiment of the invention further explains how to select the optimal configuration from a plurality of configuration schemes when calculating the corresponding maintenance report through a specific model. Consider the following problem of reliability and maintainability guarantee of certain equipment: consider the following problem of reliability and maintainability guarantee of certain equipment: the apparatus comprises four components A, B, C, D, wherein A, C components are repairable, failure times meet exponential distribution, failure rates are all 0.06 times/hour, maintenance times meet triangular distribution of (1,2,3) hours, and components B, D are not repairable, failure times meet exponential distribution, failure rates are all 0.02 times/hour, and maintenance procedures require the guarantee of maintenance personnel and different maintenance spare parts. The working time of the equipment is 30 hours, and the system reliability block diagram is a series-parallel system, as shown in fig. 6. It is necessary to assess how much time is available for the equipment during the working hours.
Obviously, this is a typical reliability maintainability security comprehensive assessment problem, and factors such as failure rate, maintenance time, and security resources of component equipment need to be considered, so based on the idea of the fourth section of the present invention, we use multi-method simulation software analog to complete the problem modeling, and first use Agent to model each failure mode, and no matter which failure mode, its basic form is consistent, as shown in fig. 7: namely, the failure Agent includes two states of failure and normal, the normal state can be initiated by self random failure (determined by life distribution) or other failure sending messages in a block diagram to enter the failure state, and the failure state can be initiated by a maintenance completion message to enter the normal state (when the failure is not repairable, namely, no corresponding maintenance guarantee model exists, the message cannot be received, so that the component is always in the failure state once the component fails). When the fault state is entered, a fault entity is generated to enter a discrete event simulation model, and if the fault is associated with other faults, a message is sent to trigger other faults to be generated. Since this example has 4 components, this example will consist of 4 fault agents.
After the fault is generated, if the part is repairable, simulating maintenance and guarantee work by the discrete event simulation model, as shown in FIG. 8: after the component A and the component C have faults, a fault entity is generated and enters a discrete event simulation model, and key codes of the fault entity are as follows:
if(repairable)
main.Failures.take(new FailureInfo(this))；
different maintenance paths are selected according to the fault types, different guarantee resources are configured, the time for completing maintenance can be influenced by the repair queue, the shortage of repair personnel and the shortage of spare parts, when the maintenance is completed, the discrete event simulation system model is quitted, and a message of completing the repair is sent to the fault Agent model, so that the fault Agent model returns to a normal state. The key codes are as follows: myfailure, receive ("repaired"). After simulation is carried out for many times, the available time of the system under the current indexes of reliability, maintainability and supportability can be estimated.
Firstly, the mutual transmission problem of faults is not considered, namely the faults are independent, the maintenance guarantee indexes are fixed firstly, and the influence of the component fault rate on the available time of the system is evaluated from the reliability perspective. Therefore, 2 maintenance spare parts of A and C are set, 1 maintenance person is set, the repair time is unchanged, the generality is not lost, only the fault rate of the part A is adjusted, 10000 times of simulation are carried out respectively, and the available time of the system is obtained.
| Failure rate | 0.04 times/hour | 0.06 times/hour | 0.08 times/hour |
| System availability time | 26.245 | 25.492 | 24.759 |
And fixing the reliability guarantee index unchanged, and evaluating the influence of the component maintenance time on the available time of the system from the aspect of maintainability. Therefore, 2 repair spare parts of A and C are set, 1 maintenance person is set, the repair time of the parts A and C is adjusted, and 10000 times of available system available time are simulated respectively as follows, so that the increase of the repair time can reduce the available system time, but the influence is not large, and obviously is not a critical factor.
| Time of repair | (1,2,3) hours | (2,4,6) hours | (3,6,9) hours |
| System availability time | 25.47 | 25.282 | 24.961 |
And fixing the reliability maintenance index unchanged, and evaluating the influence of the component maintenance time on the available time of the system from the perspective of guarantee. First, the number of the repairmen is adjusted, and 10000 times of simulation respectively can obtain the available time of the system as follows, it can be seen that when no repairmen exists, the system is degraded into a completely unrepairable system, the available time of the system is greatly reduced, and the situation that two repairmens are needed to repair at the same time rarely occurs, so 1 repairmen is enough.
| Repair personnel | 0 person | 1 person | 2 persons |
| System availability time | 18.679 | 25.424 | 25.43 |
The number of spare parts for fixing the maintenance personnel is 1, then the number of the spare parts for maintaining the parts A and C is adjusted, 10000 times of simulation are respectively carried out, the available time of the system can be obtained as follows, when no spare part exists, the system is degraded into a completely unrepairable system, the available time of the system is greatly reduced, the probability that the same part has two faults in the working time is not small, and therefore the number of the spare parts is properly increased, and the available time of the system is favorably prolonged.
| Repair spare part | 0 piece | 1 piece | 2 pieces |
| System availability time | 18.562 | 25.439 | 27.179 |
Finally, considering the influence of system association faults, assuming that component a faults also cause component B faults, the key codes are as follows:
for(Failure f:relativeError)
send("error",f)；
10000 times of simulation results compared with the fault independently are as follows. And therefore the availability time of the system is reduced if there is an associated failure.
| Whether to associate | Without correlation | Associated |
| System availability time | 25.439 | 22.827 |
In conclusion, for the system evaluation problem including the reliability maintainability guarantee, the modeling difficulty can be greatly reduced by adopting multi-method modeling, the fault transmission phenomenon can be simulated, and the problem of three-property comprehensive simulation can be effectively solved. Fig. 9 is a more complete flow processing diagram applicable to the embodiment of the present invention.
It should be noted that, for the information interaction, execution process and other contents between the modules and units in the apparatus and system, the specific contents may refer to the description in the embodiment of the method of the present invention because the same concept is used as the embodiment of the processing method of the present invention, and are not described herein again.
Those of ordinary skill in the art will appreciate that all or part of the steps of the various methods of the embodiments may be implemented by associated hardware as instructed by a program, which may be stored on a computer-readable storage medium, which may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (8)
1. A reliability maintainability guarantee assessment method is characterized in that one or more fault agents are set according to a component object and/or a subsystem object which are contained in a system and have fault risks; each fault Agent comprises one or more attributes of fault type, associated fault, fault rate and fault state; the system further comprises one or more discrete event maintenance models, each discrete event maintenance model is identified through a maintenance path and used for providing maintenance service for the fault Agent, and the method comprises the following steps:
simulating and triggering the occurrence of fault events in corresponding fault agents according to the fault rate of each fault Agent;
according to the fault type and the associated fault of the fault Agent with the fault event, the fault state of the corresponding fault Agent is modified, and a maintenance path matched with the fault Agent is selected according to the fault type so as to transfer the maintenance task of the fault to a discrete event maintenance model corresponding to the maintenance path; the correlation fault is an attribute which causes other fault agents to trigger fault events when the fault agents trigger the fault events;
configuring a corresponding repair queue, resources for guaranteeing maintenance and repair personnel for the discrete event maintenance model according to a resource pool owned by the system;
when the maintenance of the discrete event maintenance model is completed, sending a repaired message to the located fault Agent model so that the corresponding fault Agent can adjust the fault state to a normal state and the system feeds back a maintenance report; the discrete event maintenance model is calculated and completed according to historical mapping relations among maintenance personnel, maintenance tasks of the discrete event maintenance model and corresponding task completion time;
the setting one or more fault agents according to the component object and/or the subsystem object having the fault risk included in the system specifically includes:
according to one or more of a preset scheduling time interval of an entity resource which is guaranteed to be maintained, an arrival time interval of an assigned maintenance person which arrives at a maintenance place, a maintenance time interval when the maintenance person finishes a specified equipment fault type and an allowable associated fault quantity interval of a fault Agent, a subsystem and/or a component object which forms a system and is contained in an entity environment are split into one or more fault agents;
the method comprises the steps that scheduling time of entity resources for guaranteeing maintenance is smaller than a third preset threshold, arrival time of assigned maintenance personnel arriving at a maintenance place is smaller than a fourth preset threshold, maintenance time of the maintenance personnel for completing specified equipment fault types is smaller than a fifth preset threshold, fault agents of which the allowable associated fault quantity is smaller than a sixth preset threshold are marked as steady-state fault agents, and repair time of the steady-state fault agents is marked as reference time; so that the floating time of the unsteady fault Agent corresponding to the unsteady fault Agent forms the maintenance report;
the maintenance report is composed of reference time corresponding to one or more steady-state fault agents and floating time of one or more unsteady-state fault agents, and the method further comprises the following steps:
receiving a fault request of a first user, wherein the fault request carries a device identifier of a fault and description information of a corresponding fault;
the system analyzes the fault request to obtain one or more fault agents matched with the equipment identification of the fault and the description information of the corresponding fault; searching a maintenance report stored on a system side through the one or more fault agents;
if the first maintenance report is found to include each fault Agent corresponding to the fault request, and the maintenance time corresponding to each fault Agent is the reference time, feeding back the first maintenance report to the first user;
if the first maintenance report contains one or more reference time items belonging to other fault agents besides each fault Agent corresponding to the fault request, the system directly eliminates the reference time items corresponding to other fault agents in the first maintenance report, and feeds the first maintenance report after the elimination operation back to the first user;
if the first maintenance report is found to just contain each fault Agent corresponding to the fault request, and the maintenance time corresponding to each fault Agent contains the floating time item of the unsteady fault Agent, the system carries out real-time simulation calculation on the unsteady fault Agent corresponding to the floating time item respectively to obtain the floating time, and feeds back the floating time to the first user after integrating the floating time with the reference time item of the steady fault Agent corresponding to the fault request in the first maintenance report.
2. The reliability maintainability assurance evaluation method of claim 1, wherein the resource pool owned by the system is pre-imported into the system by an operator according to the physical resources owned by the system; when the entity resources for ensuring maintenance are put into the warehouse, the entity resources are input into the system in a code scanning mode, an RF signal identification mode or an Internet of things mode; the repair personnel of the entity inputs the system through the intelligent equipment carried by the repair personnel;
when the entity resources for ensuring maintenance are used for ex-warehouse, the system is exported in a code scanning mode, an RF signal identification mode or an Internet of things mode; when the repair personnel of the entity is allocated to the designated discrete event maintenance model and performs a maintenance task, the system adjusts the identification of the repair personnel in the resource pool from the usable identification to the identification in use; wherein the system adjusts the identity of the repair person in the resource pool from the identity in use to an identity that is usable when the repair person is performing a repair task that repairs the model at the specified discrete event.
3. The method of claim 1, wherein the repair personnel receives the completion of the maintenance task and reports the completion of the maintenance task, both via a smart device connected to the system;
the system counts the task time required by each maintenance worker to complete the maintenance task of the designated discrete event maintenance model according to the time node for delegating the maintenance task of the maintenance worker and the time node for receiving the completion of the maintenance task reported by the intelligent equipment;
the system establishes a historical mapping relation according to the counted task completion time, the maintenance task of the designated discrete event maintenance model and the identification of the maintenance personnel; and the system calculates the time required by the maintenance task of each discrete event maintenance model to be completed according to the historical mapping relation, and the time is used for generating the maintenance report.
4. The method for evaluating reliability maintainability assurance according to claim 1, wherein the failure rate of each failure Agent is obtained by counting failures of a device corresponding to each failure Agent in an actual situation;
the system generates a fault script for one or more fault agents with the importance levels higher than a first preset threshold and/or the fault rates higher than a second preset threshold according to the importance levels and/or the fault rates of the fault agents;
triggering the occurrence of fault events of one or more corresponding fault agents according to the fault script, and storing a generated maintenance report after the fault event repair is completed through a corresponding discrete event maintenance model;
and establishing an index item for the maintenance report so that when corresponding equipment in a subsequent entity environment has a fault, an optimal maintenance strategy and/or maintenance time evaluation can be determined directly by searching the stored maintenance report.
5. The method of claim 4, wherein the system determines whether the change of the physical resource would cause a parameter result different from the stored maintenance report by more than a third preset threshold according to the change of the physical resource;
if the fault is updated, the script is used, a maintenance report is regenerated, and a historical stored maintenance report is updated; and an index item is established for the updated maintenance report, so that when corresponding equipment in the subsequent entity environment fails, the optimal maintenance strategy and/or maintenance time evaluation can be determined directly by searching the stored maintenance report.
6. The method for assessing reliability and maintainability reliability of an electronic device according to claim 1, wherein the system performs real-time simulation calculation for the unsteady-state fault Agent corresponding to the floating time item, specifically comprising:
the system collects one or more of the scheduling time of the entity resources which currently guarantee maintenance, the arrival time of the assigned maintenance personnel at the maintenance location, the maintenance time of the specified equipment fault type completed by the maintenance personnel, and the allowable associated fault quantity of the fault agents, and calculates the floating time required by repairing the corresponding unsteady fault agents in the current entity environment.
7. The reliability maintainability security assessment method of claim 1, wherein when the physical environment changes, if the original fault Agent is an unsteady fault Agent, the scheduling duration of the corresponding entity resource for maintaining guarantee, the arrival duration of the assigned maintenance personnel at the maintenance site, the maintenance duration for the maintenance personnel to complete the specified equipment fault type, and one or more of the allowable associated fault number of the fault Agent satisfy the steady-state fault Agent determination requirement; and modifying the corresponding unstable fault Agent into a stable fault Agent so as to directly use the reference time modified into the stable fault Agent as a parameter item of a maintenance report fed back to the user when the fault request of the user is received.
8. A reliability maintainability assurance evaluation apparatus, comprising:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor and programmed to perform the reliability serviceability guarantee assessment method of any of claims 1-7.
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| CN114462665A (en) * | 2021-12-15 | 2022-05-10 | 国家电投集团数字科技有限公司 | Photovoltaic station maintenance path planning method and system |
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