CN111861036A - Equipment service optimization method and device, electronic equipment and readable storage medium - Google Patents
Equipment service optimization method and device, electronic equipment and readable storage medium Download PDFInfo
- Publication number
- CN111861036A CN111861036A CN202010755178.2A CN202010755178A CN111861036A CN 111861036 A CN111861036 A CN 111861036A CN 202010755178 A CN202010755178 A CN 202010755178A CN 111861036 A CN111861036 A CN 111861036A
- Authority
- CN
- China
- Prior art keywords
- equipment
- service
- preset target
- target task
- service life
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 55
- 238000005457 optimization Methods 0.000 title claims abstract description 47
- 238000003860 storage Methods 0.000 title claims abstract description 18
- 230000000694 effects Effects 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 17
- 230000006870 function Effects 0.000 description 8
- 238000012545 processing Methods 0.000 description 8
- 238000004590 computer program Methods 0.000 description 7
- 230000008569 process Effects 0.000 description 6
- 238000010276 construction Methods 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000008439 repair process Effects 0.000 description 3
- 238000004088 simulation Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 239000002131 composite material Substances 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000005520 cutting process Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000007123 defense Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Data Mining & Analysis (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application discloses a device service optimization method and device, electronic equipment and a readable storage medium. The method comprises the following steps: initializing the service time and service life of each equipment in the equipment service scheme to be optimized; determining the degree of satisfaction of the service time and/or service life of each piece of equipment to the preset target task requirement; and determining whether to update the service time and/or service life of the equipment according to the satisfaction degree. The method and the device solve the technical problem that the requirement of various tasks on the marshalling capacity cannot be met due to the lack of effective planning of an equipment service scheme in the related technology. By the aid of the method and the device, the purpose of effectively planning equipment service schemes is achieved, and therefore the technical effect of meeting requirements of various tasks on equipment marshalling capacity is achieved.
Description
Technical Field
The application relates to the technical field of equipment service, in particular to a data processing method and device, computer equipment and a readable storage medium for equipment service optimization.
Background
The optimization of the service time and the service period of the equipment refers to a process of adjusting the service time and the service period of the equipment in order to meet the requirement of carrying out various tasks as much as possible at a certain moment or a certain period on the marshalling capacity under the condition that the service time and the service period of the equipment are variable. In this case the repair intervals of the equipment and the times at which the various repair states are present are carried out according to a desired predetermined operating cycle.
The service time of the equipment is determined by the time for starting construction of the equipment, the construction speed and other factors, if the assumed variation range is a first proportion of the average construction time, and the average construction time of certain equipment is A1, the service time range of the equipment is the planned service time plus or minus A2, wherein the time period of A2 is A1 multiplied by the first proportion. And if the service life of the equipment does not exceed the second proportion of the design life and the service time length of certain equipment is B1 years, the service life of the equipment is changed into an interval value from B1 to B2 years, wherein the time period from B2 to B1 is the time period from B1 multiplied by the second proportion, and the delayed service part is subjected to various types of repair according to the operation period in the service life.
In the related art, no method for effectively planning the equipment service scheme exists at present, so that the requirement of various tasks on the marshalling capability cannot be met.
Disclosure of Invention
The main objective of the present application is to provide an equipment service optimization method, so as to solve the problem that the requirement of various tasks on the marshalling capability cannot be met due to no method for effectively planning an equipment service scheme in the related art.
In order to achieve the above object, according to a first aspect of the present application, an equipment commissioning optimization method is provided.
Equipment commissioning optimization according to the present application includes: initializing the service time and service life of each equipment in the equipment service scheme to be optimized; determining the degree of satisfaction of the service time and/or service life of each piece of equipment to the preset target task requirement; and determining whether to update the service time and/or service life of the equipment according to the satisfaction degree.
Further, before determining the satisfaction degree of the service time and/or service life of each piece of equipment on the preset target task requirement, the method comprises the following steps: judging whether the equipment service scheme to be optimized meets the preset target task requirement or not; and if not, determining the service time and/or service life of each piece of equipment according to the satisfaction degree of the preset target task requirement.
Further, the preset target task requirement includes the number of equipment corresponding to a preset time point, and the determining of the degree of satisfaction of the service time and/or service life of each piece of equipment to the preset target task requirement includes: judging whether the number of the equipment in the equipment service scheme to be optimized reaches the number of the equipment corresponding to the preset time point; and determining whether to optimize the equipment service scheme to be optimized or not according to the judgment result.
Further, the determining the satisfaction degree of the service time and/or service life of each piece of equipment on the preset target task requirement comprises: judging whether the current equipment is in the equipment service period; if yes, traversing a plurality of service times corresponding to the equipment at present, and respectively determining the satisfaction degree of each service time to the preset target task requirement; and determining whether to update the service time of the current equipment and enter the optimization of the next equipment according to the satisfaction degree of each service time to the preset target task requirement.
Further, the determining the satisfaction degree of the service time and/or service life of each piece of equipment on the preset target task requirement comprises: judging whether the current equipment is in the equipment service period; if not, traversing a plurality of service lives corresponding to the equipment at present, and respectively determining the satisfaction degree of each service life to the preset target task requirement; and determining whether to update the service life of the current equipment and enter the optimization of the next equipment according to the satisfaction degree of each service life to the preset target task requirement.
Further, the determining the satisfaction degree of the service time and/or service life of each piece of equipment on the preset target task requirement comprises: judging whether the service time and/or service life of the current equipment meet the preset target task requirement or not; if not, judging whether traversing is finished on the equipment type corresponding to the current equipment; and if the traversal is not finished, judging whether the service time and/or service life of other equipment in the equipment type corresponding to the current equipment meets the preset target task requirement or not.
In order to achieve the above object, according to a second aspect of the present application, there is provided an equipment commissioning optimization apparatus.
The equipment service optimization device comprises: the initialization module is used for initializing the service time and service life of each piece of equipment in the equipment service scheme to be optimized; the first determining module is used for determining the satisfaction degree of the service time and/or service life of each piece of equipment to the preset target task requirement; and the updating module is used for determining whether to update the service time and/or service life of the equipment according to the satisfaction degree.
Further, the apparatus further comprises: the first judgment module is used for judging whether the equipment service scheme to be optimized meets the preset target task requirement or not; and the entering module is used for entering the step of determining the satisfaction degree of the service time and/or service life of each piece of equipment to the preset target task requirement if the preset target task requirement is not met.
In order to achieve the above object, according to a third aspect of the present application, there is provided an electronic apparatus comprising: one or more processors; storage means for storing one or more programs; the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of the preceding claims.
To achieve the above object, according to a fourth aspect of the present application, there is provided a non-transitory readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method according to any of the preceding claims.
In the embodiment of the application, the service time and the service life of each piece of equipment in the equipment service scheme to be optimized are initialized; the method for determining the degree of satisfaction of the service time and/or service life of each piece of equipment to the requirement of a preset target task achieves the aim of effectively planning the service scheme of the equipment by determining whether to update the service time and/or service life of the equipment according to the degree of satisfaction, thereby realizing the technical effect of meeting the requirement of various tasks on the marshalling capability of the equipment, and further solving the technical problem that the requirement of various tasks on the marshalling capability cannot be met due to lack of effective planning on the service scheme of the equipment in the related technology.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, serve to provide a further understanding of the application and to enable other features, objects, and advantages of the application to be more apparent. The drawings and their description illustrate the embodiments of the invention and do not limit it. In the drawings:
FIG. 1 is a schematic flow chart diagram of an equipment commissioning optimization method according to a first embodiment of the present application;
FIG. 2 is a schematic flow chart diagram of an equipment commissioning optimization method according to a second embodiment of the present application;
FIG. 3 is a schematic flow chart diagram of an equipment commissioning optimization method according to a third embodiment of the present application;
FIG. 4 is a schematic flow chart diagram illustrating a method for optimizing equipment in service according to a fourth embodiment of the present disclosure;
FIG. 5 is a schematic flow chart of a method for optimizing equipment in service according to a fifth embodiment of the present application;
FIG. 6 is a schematic flow chart diagram illustrating a method for optimizing equipment in service according to a sixth embodiment of the present application;
FIG. 7 is a block diagram of an equipment commissioning optimization flow according to an embodiment of the present application;
FIG. 8 is a schematic diagram illustrating an example of screening and determining a globally optimal solution for equipment commissioning according to an embodiment of the present disclosure;
FIG. 9 is a schematic diagram illustrating a component structure of an equipment in-service optimization apparatus according to an embodiment of the present disclosure; and
fig. 10 is a schematic diagram of a composition structure of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
The conditions implicit in the optimization of equipment length of service and age are that the number of equipment to be developed in the solution is not adjustable. Under the current national defense industrial system, the service time of different types of equipment is considered to be independent, the equipment of the same type is restricted by the production and maintenance capability, and the service time has a certain restriction relation and is related; however, if the production capacity is sufficient, it may also be considered that the time of service is independent between the same type of equipment. The service life of each equipment entity is considered independent of each other.
Based on this, an embodiment of the present application provides an equipment commissioning optimization method, as shown in fig. 1, the method includes the following steps S101 to S103:
step S101, initializing the service time and service life of each equipment in the equipment service scheme to be optimized.
During specific implementation, firstly, a scheme to be optimized needs to be selected, and the service time and service life of each device in the scheme need to be initialized. The service time initialization is mainly to perform random initialization on service months, and the service life is initialized according to the design service life of the equipment. Another important task of initialization is to select the time granularity of the simulation and set the optimization objectives. The granularity of the simulation time refers to the description accuracy of the starting time and the ending time of each stage of the equipment service, and specifically refers to the description of the starting time and the ending time of each stage of the equipment service to a month, a quarter, a half year or a year. The setting of the optimization target mainly sets task requirements to be met, including time nodes of the target, the quantity requirement of target equipment and the like.
And S102, determining the degree of satisfaction of the service time and/or service life of each piece of equipment to the preset target task requirement.
During specific implementation, according to the scheme to be optimized obtained after initialization, the satisfaction degree of the service time or service life of each device to the preset target task requirement is determined. Specifically, the preset target task requirements may include target time nodes, target equipment quantity requirements, and the like, and the satisfaction degree refers to determining whether the quantity of the equipment can reach the preset target equipment quantity and the reaching degree within the preset target time nodes or time periods according to the service time or service life of each equipment.
And S103, determining whether to update the service time and/or service life of the equipment according to the satisfaction degree.
And during specific implementation, determining whether the service time or service life of the equipment needs to be updated according to the obtained satisfaction degree of the service time or service life of each equipment to the preset target task requirement. For example, assuming that the preset target equipment number at the time node t is 100, and the equipment number capable of being serviced at the time node t calculated according to the service time or service life of each equipment is 80, the satisfaction degree is 80/100 ═ 0.8, the preset target mission requirement is not met, the service time or service life of the equipment needs to be optimally adjusted, and the optimal configuration of the equipment is realized, so as to meet the target requirements of various missions as much as possible.
As a preferred implementation manner of the embodiment of the present application, as shown in fig. 2, before determining the degree of satisfaction of the service time and/or service life of each piece of equipment to the preset target task requirement, the following steps S201 to S202 are included:
step S201, judging whether the equipment service scheme to be optimized meets the preset target task requirement.
Step S202, if not, the step of determining the satisfaction degree of the service time and/or service life of each piece of equipment to the preset target task requirement is carried out.
In specific implementation, before determining the degree of satisfaction of the service time or service life of the equipment to the preset target task requirement, judging whether the whole equipment service scheme to be optimized meets the preset target task requirement, and if the current equipment service scheme can meet the preset target task requirement, then carrying out scheme optimization; if the preset target task requirement is not met, whether the service time or the service life of each piece of equipment in the scheme needs to be optimized and adjusted needs to be determined, so that the scheme integrally meets the preset target task requirement.
As a preferred implementation manner of the embodiment of the present application, as shown in fig. 3, the preset target task requirement includes a number of equipment corresponding to a preset time point, and before determining the degree of satisfaction of the preset target task requirement by the service time and/or service life of each piece of equipment, the following steps S301 to S302 are included:
step S301, judging whether the equipment number in the equipment service scheme to be optimized reaches the equipment number corresponding to the preset time point.
In specific implementation, when the satisfaction degree of the equipment service scheme to be optimized to the target requirement is calculated, the preset target task requirement can comprise the equipment quantity corresponding to the preset time point, the calculation of the satisfaction degree of the single time point target can be represented by the proportion that the quantity of various equipment which can be provided by the scheme at the moment meets the target requirement quantity, the satisfaction of the various equipment quantities to the target requirement quantity is calculated by the ratio between the two, the ratio is greater than or equal to 1 to indicate that the requirements are met, and otherwise the requirements are not met.
And S302, determining whether to optimize the equipment service scheme to be optimized according to the judgment result.
During specific implementation, whether the equipment service scheme to be optimized meets the requirement of a preset target task or not can be determined according to the calculation result, and then whether the scheme needs to be optimized or not is determined. For example, the number of the equipment corresponding to the preset time point t is 100, the number of the various types of equipment which can be provided by the scheme to be optimized at the time point t is 110, and the ratio of the number of the various types of equipment to be provided by the scheme to be optimized at the time point t is 110/100 ═ 1.1>1, which indicates that the number of the various types of equipment which can be provided by the scheme to be optimized at the time point t can meet the target task requirement at the preset time point, and therefore, the scheme does not need to be optimized.
Optionally, the preset target task requirement may further include the number of equipment corresponding to a preset time period, where the time period target is represented by a ratio of the target satisfaction of each time point to the target satisfaction of the entire time point, and is equal to or approximately equal to 1. On visual representation, equipment quantity values which can be provided by the schemes at a plurality of time points can be calculated and fitted into a fold line, the fold line which is fitted with the target demand quantity value is displayed in a contrast mode, and the satisfaction degree of the schemes is visually displayed.
As a preferred implementation manner of the embodiment of the present application, as shown in fig. 4, the determining the satisfaction of the service time and/or service life of each piece of equipment to the preset target task requirement includes steps S401 to S403 as follows:
step S401, judging whether the current equipment is in the equipment service period.
During specific implementation, when the degree of satisfaction of the service time or service life of the equipment to the preset target task requirement is determined, firstly, the relation between the time point of the sub-target to be met and the service life of the equipment is judged, namely whether the current equipment is still in the service life of the equipment is determined according to the service time of the current equipment. For example, the preset service period of the current equipment is a years, the equipment service time is B years, where a is greater than B, the current equipment is still in the equipment service period, and if the equipment service time is a years, the current equipment is not in the equipment service period.
Step S402, if yes, traversing a plurality of service times corresponding to the equipment at present, and respectively determining the satisfaction degree of each service time to the preset target task requirement.
In specific implementation, if the current equipment is in a service period, traversing all possible service time of the equipment, and sequentially judging the satisfaction degree of each service time corresponding to the equipment to a target.
Step S403, determining whether to update the service time of the current equipment and enter the optimization of the next equipment according to the satisfaction degree of each service time to the preset target task requirement.
During specific implementation, if a certain service time corresponding to the current equipment meets the requirement of a target task, the service time of the equipment is updated to meet the service time corresponding to the target, and meanwhile, the next type of equipment is optimized; and if all service time corresponding to the current equipment cannot meet the target task requirement, updating the service time of the equipment by using the service time which meets the target degree to the best, and simultaneously switching to the optimization of the next equipment of the type.
As a preferred implementation manner of the embodiment of the present application, as shown in fig. 5, the determining the satisfaction of the service time and/or service life of each piece of equipment to the preset target task requirement includes steps S501 to S503 as follows:
step S501, judging whether the current equipment is in the equipment service period.
During specific implementation, when the degree of satisfaction of the service time or service life of the equipment to the preset target task requirement is determined, firstly, the relation between the time point of the sub-target to be met and the service life of the equipment is judged, namely whether the current equipment is still in the service life of the equipment is determined according to the service time of the current equipment.
Step S502, if not, traversing a plurality of service lives corresponding to the equipment at present, and respectively determining the satisfaction degree of each service life to the preset target task requirement.
During specific implementation, if the current equipment is not in the service period, the service life of the current equipment needs to be changed, all possible service lives of the equipment are traversed, and the satisfaction degree of each service life to the target is sequentially judged.
Step S503, determining whether to update the service life of the current equipment and enter the optimization of the next equipment according to the satisfaction degree of each service life to the preset target task requirement.
During specific implementation, if a certain service life corresponding to the current equipment meets a target, the next type of equipment is optimized; if all service lives corresponding to the current equipment are not met, recording the service life meeting the equipment with the best target degree by using a temporary variable, updating the service life of the original equipment, and transferring to the analysis of the next equipment of the type.
It should be noted that, for the equipment already in service, the service time is earlier than the simulation start time, the service time cannot be changed, and only the problem of service age change is considered, which is applicable to the flow from step S501 to step S503.
As a preferred implementation manner of the embodiment of the present application, as shown in fig. 6, the determining the satisfaction of the service time and/or service life of each piece of equipment to the preset target task requirement includes steps S601 to S603 as follows:
step S601, judging whether the service time and/or service life of the current equipment meet the preset target task requirement.
Step S602, if not, judging whether traversing is finished for the equipment type corresponding to the current equipment.
Step S603, if the traversal is not completed, determining whether the service time and/or service life of other equipment in the equipment type corresponding to the current equipment meets the preset target task requirement.
During specific implementation, whether the service time or service life of the current equipment meets the preset target task requirement after adjustment needs to be judged, and if so, optimization is completed; if not, judging whether all equipment under the equipment type corresponding to the equipment is completely traversed or not, and if not, performing the optimization adjustment operation on the service time or service life of the rest equipment in the equipment type until the target task requirement is met; if all equipment under the equipment type has finished traversing, the optimization process for the equipment type is finished.
In the optimization process, if the target is met, outputting an equipment scheme with updated service time and service life as a better scheme; otherwise, only the equipment scheme with updated service time and service life is output as an approximate solution, which indicates that the target cannot be met through optimization.
As shown in FIG. 7, a flow chart of equipment commissioning optimization is provided, wherein, it is assumed that there are N types of equipment in a scheme, each type of equipment includes L entities, and the commissioning time of the jth equipment entity (belonging to type i) is
ΔctiThe service life t is a constant cl in the variation range of the service timei，ΔcliThe service life is the variation range. The quantity requirement of each type of equipment at a certain time or in a certain time period in the future can be set through the matrix TaskeqR*N(t) is obtained by summing the columns, wherein the Taskeq at a certain timeR*NFrom the formula Taskeqmk＝Taskfml*FmeqlkAnd (4) calculating.
This is a composite programming problem consisting of multiple full integer programming. An objective function: the number of the equipment of each type is more than or equal to the number of the task demands at a certain moment; constraint conditions are as follows: the adjustment range and range of the in-service time and the out-of-service time of each device. The traditional integer programming solution includes a simplex method, a graphical solution, a cutting plane method, a branch and bound method and the like. However, the constraint condition here is weak constraint, the solution sought does not necessarily need to be globally optimal, as long as the adjusted scheme meets the lower limit of the requirement of the grouping capability, the obtained solution is a feasible solution or a satisfactory solution, and when the solution space is searched, the solution can be found without traversing the whole solution space in general, so that the whole composite plan can be solved by adopting a method of solving the integer plans of various types of equipment one by using an enumeration method. The solving sequence is carried out according to the sequence of equipment type arraying, the equipment which is firstly arrayed (including the equipment already arrayed) is low in uncertainty introduced when the scheme is formulated, and the solution is traversed firstly, so that the obtained result has more guiding significance for the actual execution of the adjustment scheme.
If the optimization target is not provided with an upper limit, the service and retirement time of the adjusting equipment can be adjusted to meet the target task requirement to the maximum extent, and on the basis of meeting the minimum marshalling capacity, the more the number of tasks and the combination of the tasks are, the better the number is. This translates to the number of equipment of each type per year being as much as possible greater than the minimum target requirement, while the number of equipment of each type in the overall solution increases and decreases relatively steadily over time, without a big fall. The following rules are needed to measure such a global optimal solution:
rule 1: on the basis of a basic scheme, a scheme to be evaluated is generated by changing variables, and the optimal scheme firstly meets the requirement of the lowest marshalling capacity;
rule 2: the area enclosed by the optimal scheme and the time axis in the analysis time period is the largest;
rule 3: and summarizing gradients of the change of the number of schemes before and after each sampling point, and taking the difference between the maximum value (positive gradient) and the minimum value (negative gradient) of the gradients, wherein the difference is as small as possible.
If the 3 schemes shown in fig. 8 are judged by the above rules, the scheme 1 is the optimal scheme.
From the above description, it can be seen that the present invention achieves the following technical effects: initializing the service time and service life of each equipment in the equipment service scheme to be optimized; the method for determining the degree of satisfaction of the service time and/or service life of each piece of equipment to the requirements of the preset target tasks achieves the aim of effectively planning the service scheme of the equipment by determining whether to update the service time and/or service life of the equipment according to the degree of satisfaction, thereby achieving the technical effect of meeting the requirements of various tasks on the marshalling capability of the equipment.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
According to an embodiment of the present invention, there is further provided an apparatus for implementing the equipment commissioning optimization method, as shown in fig. 9, the apparatus includes: the system comprises an initialization module 1, a service module and a service module, wherein the initialization module is used for initializing the service time and service life of each equipment in an equipment service scheme to be optimized; the first determining module 2 is used for determining the satisfaction degree of the service time and/or service life of each piece of equipment to the preset target task requirement; and the updating module 3 is used for determining whether to update the service time and/or service life of the equipment according to the satisfaction degree.
As a preferred implementation of the embodiment of the present application, the apparatus further includes: the first judgment module is used for judging whether the equipment service scheme to be optimized meets the preset target task requirement or not; and the entering module is used for entering the step of determining the satisfaction degree of the service time and/or service life of each piece of equipment to the preset target task requirement if the preset target task requirement is not met.
As a preferred implementation manner of the embodiment of the present application, the preset target task requirement includes a number of devices corresponding to a preset time point, and the apparatus further includes: the second judgment module is used for judging whether the equipment number in the equipment service scheme to be optimized reaches the equipment number corresponding to the preset time point; and the second determining module is used for determining whether to optimize the equipment service scheme to be optimized according to the judgment result.
As a preferred implementation manner of the embodiment of the present application, the determining module includes: the first judgment unit is used for judging whether the current equipment is in the equipment service period; the first determining unit is used for traversing a plurality of service times corresponding to the equipment at present and respectively determining the satisfaction degree of each service time to the preset target task requirement if the equipment is in the service time; and the first updating unit is used for determining whether to update the service time of the current equipment and enter the optimization of the next equipment according to the satisfaction degree of each service time to the preset target task requirement.
As a preferred implementation manner of the embodiment of the present application, the determining module includes: the second judgment unit is used for judging whether the current equipment is in the equipment service period; a second determining unit, configured to traverse multiple service lives corresponding to the current equipment if the equipment is not in the service life, and respectively determine a satisfaction degree of each service life to the preset target task requirement; and the second updating unit is used for determining whether to update the service life of the current equipment and enter the optimization of the next equipment according to the satisfaction degree of each service life to the preset target task requirement.
As a preferred implementation manner of the embodiment of the present application, the determining module includes: the third judging unit is used for judging whether the service time and/or service life of the current equipment meet the preset target task requirement or not; the fourth judging unit is used for judging whether traversing is finished on the equipment type corresponding to the current equipment if the equipment type does not meet the requirements; and the fifth judging unit is used for judging whether the service time and/or service life of other equipment in the equipment type corresponding to the current equipment meets the preset target task requirement or not if the traversal is not completed.
For the specific connection relationship between the modules and the units and the functions performed, please refer to the detailed description of the method, which is not repeated herein.
According to an embodiment of the present invention, there is also provided a computer apparatus including: one or more processors; storage means for storing one or more programs; the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as previously described.
There is also provided, in accordance with an embodiment of the present invention, a computer-readable storage medium having stored thereon computer instructions, which when executed by a processor, implement the steps of the method as previously described.
As shown in fig. 10, the electronic device includes one or more processors 31 and a memory 32, and one processor 31 is taken as an example in fig. 10.
The control unit may further include: an input device 33 and an output device 34.
The processor 31, the memory 32, the input device 33 and the output device 34 may be connected by a bus or other means, and the bus connection is exemplified in fig. 10.
The processor 31 may be a Central Processing Unit (CPU). The Processor 31 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, or combinations thereof. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 32, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules. The processor 31 executes various functional applications of the server and data processing by running non-transitory software programs, instructions and modules stored in the memory 32, namely, implements the equipment commissioning optimization method of the above method embodiment.
The memory 32 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of a processing device operated by the server, and the like. Further, the memory 32 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 32 may optionally include memory located remotely from the processor 31, which may be connected to a network connection device 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 input device 33 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the processing device of the server. The output device 34 may include a display device such as a display screen.
One or more modules are stored in the memory 32, which when executed by the one or more processors 31 perform the methods as previously described.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. Computer instructions are for causing the computer to perform an equipment commissioning optimization method.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, the principle and the implementation of the present invention are explained by applying the specific embodiments in the present invention, and the above description of the embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. An equipment service optimization method is characterized by comprising the following steps:
initializing the service time and service life of each equipment in the equipment service scheme to be optimized;
determining the degree of satisfaction of the service time and/or service life of each piece of equipment to the preset target task requirement;
and determining whether to update the service time and/or service life of the equipment according to the satisfaction degree.
2. The equipment in-service optimization method of claim 1, wherein determining the satisfaction of the time and/or age of service of each piece of equipment with the preset target mission requirements comprises:
judging whether the equipment service scheme to be optimized meets the preset target task requirement or not;
and if not, determining the service time and/or service life of each piece of equipment according to the satisfaction degree of the preset target task requirement.
3. The equipment service optimization method according to claim 1, wherein the preset target task requirements include the number of equipments corresponding to a preset time point, and the determining of the satisfaction degree of the service time and/or service life of each equipment to the preset target task requirements comprises:
judging whether the number of the equipment in the equipment service scheme to be optimized reaches the number of the equipment corresponding to the preset time point;
and determining whether to optimize the equipment service scheme to be optimized or not according to the judgment result.
4. The equipment service optimization method of claim 1, wherein the determining the satisfaction of the service time and/or service life of each piece of equipment with a preset target task requirement comprises:
judging whether the current equipment is in the equipment service period;
if yes, traversing a plurality of service times corresponding to the equipment at present, and respectively determining the satisfaction degree of each service time to the preset target task requirement;
and determining whether to update the service time of the current equipment and enter the optimization of the next equipment according to the satisfaction degree of each service time to the preset target task requirement.
5. The equipment service optimization method of claim 1, wherein the determining the satisfaction of the service time and/or service life of each piece of equipment with a preset target task requirement comprises:
judging whether the current equipment is in the equipment service period;
if not, traversing a plurality of service lives corresponding to the equipment at present, and respectively determining the satisfaction degree of each service life to the preset target task requirement;
and determining whether to update the service life of the current equipment and enter the optimization of the next equipment according to the satisfaction degree of each service life to the preset target task requirement.
6. The equipment service optimization method of claim 1, wherein the determining the satisfaction of the service time and/or service life of each piece of equipment with a preset target task requirement comprises:
judging whether the service time and/or service life of the current equipment meet the preset target task requirement or not;
if not, judging whether traversing is finished on the equipment type corresponding to the current equipment;
and if the traversal is not finished, judging whether the service time and/or service life of other equipment in the equipment type corresponding to the current equipment meets the preset target task requirement or not.
7. An equipment in-service optimization apparatus, comprising:
the initialization module is used for initializing the service time and service life of each piece of equipment in the equipment service scheme to be optimized;
the first determining module is used for determining the satisfaction degree of the service time and/or service life of each piece of equipment to the preset target task requirement;
and the updating module is used for determining whether to update the service time and/or service life of the equipment according to the satisfaction degree.
8. The equipment in-service optimization apparatus of claim 7, further comprising:
the first judgment module is used for judging whether the equipment service scheme to be optimized meets the preset target task requirement or not;
and the entering module is used for entering the step of determining the satisfaction degree of the service time and/or service life of each piece of equipment to the preset target task requirement if the preset target task requirement is not met.
9. An electronic device, comprising:
one or more processors;
storage means for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-6.
10. A non-transitory readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the method of any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010755178.2A CN111861036B (en) | 2020-07-30 | 2020-07-30 | Equipment service optimization method and device, electronic equipment and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010755178.2A CN111861036B (en) | 2020-07-30 | 2020-07-30 | Equipment service optimization method and device, electronic equipment and readable storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111861036A true CN111861036A (en) | 2020-10-30 |
| CN111861036B CN111861036B (en) | 2023-12-12 |
Family
ID=72946633
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010755178.2A Active CN111861036B (en) | 2020-07-30 | 2020-07-30 | Equipment service optimization method and device, electronic equipment and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111861036B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7904319B1 (en) * | 2005-07-26 | 2011-03-08 | Sas Institute Inc. | Computer-implemented systems and methods for warranty analysis |
| CN105303014A (en) * | 2014-07-01 | 2016-02-03 | 中国人民解放军空军工程大学 | Method for prolonging service life of aircraft structure |
| CN108241909A (en) * | 2018-01-24 | 2018-07-03 | 长安大学 | A kind of mechanical equipment remanufactures the Forecasting Methodology on opportunity |
| CN111291986A (en) * | 2020-01-22 | 2020-06-16 | 中国人民解放军空军工程大学 | Air defense reverse guidance operation action accurate equipment guarantee scheme planning system |
-
2020
- 2020-07-30 CN CN202010755178.2A patent/CN111861036B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7904319B1 (en) * | 2005-07-26 | 2011-03-08 | Sas Institute Inc. | Computer-implemented systems and methods for warranty analysis |
| CN105303014A (en) * | 2014-07-01 | 2016-02-03 | 中国人民解放军空军工程大学 | Method for prolonging service life of aircraft structure |
| CN108241909A (en) * | 2018-01-24 | 2018-07-03 | 长安大学 | A kind of mechanical equipment remanufactures the Forecasting Methodology on opportunity |
| CN111291986A (en) * | 2020-01-22 | 2020-06-16 | 中国人民解放军空军工程大学 | Air defense reverse guidance operation action accurate equipment guarantee scheme planning system |
Non-Patent Citations (5)
| Title |
|---|
| 罗小明, 陈浩光, 周威: "武器装备体系作战效能评估及结构优化方法研究", 《第四届中国青年运筹与管理学者大会论文集》, pages 119 - 128 * |
| 苏涛;曹文静;郝梦媛;: "航空装备更新模型优化", 四川兵工学报, no. 03, pages 84 - 90 * |
| 边晶梅;朱浮声;康玉梅;: "基于可靠性的服役桥梁维修加固决策研究综述", 中外公路, no. 01, pages 133 - 138 * |
| 郑重;周圆;王琪;王骏;黄宇峰;: "基于杜鹃算法的变压器全寿命周期成本优化研究", 电力系统保护与控制, no. 08, pages 49 - 55 * |
| 陈海峰;孙喜文;张树旺;熊陆平;陆建荣;潘孝平;旬鲁川;李冠军;: "卫生装备质量分级与退役管理方法研究", 医疗卫生装备, no. 11, pages 55 - 56 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111861036B (en) | 2023-12-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10884795B2 (en) | Dynamic accelerator scheduling and grouping for deep learning jobs in a computing cluster | |
| Zhang et al. | Flexible job-shop scheduling/rescheduling in dynamic environment: a hybrid MAS/ACO approach | |
| Shahvari et al. | Hybrid flow shop batching and scheduling with a bi-criteria objective | |
| CN111950225B (en) | Chip layout method and device, storage medium and electronic equipment | |
| US20180323962A1 (en) | Reduction in storage usage in blockchain | |
| US10574536B2 (en) | Capacity engineering in distributed computing systems | |
| CN103336792B (en) | Data partition method and device | |
| CN106339386B (en) | Database flexible scheduling method and device | |
| CN107239468B (en) | Task node management method and device | |
| US20150019680A1 (en) | Systems and Methods for Consistent Hashing Using Multiple Hash Rlngs | |
| JP2017027448A (en) | Method for requesting demand response, demand response request device, and method for requesting demand system | |
| CN105956422A (en) | Method and system for controlling usage of software programs on mobile computing devices | |
| CN116561171B (en) | Method, device, equipment and medium for processing dual-time-sequence distribution of inclination data | |
| TWI534704B (en) | Processing method for time series and system thereof | |
| CN111861036A (en) | Equipment service optimization method and device, electronic equipment and readable storage medium | |
| CN106933882B (en) | Big data increment calculation method and device | |
| CN114064262A (en) | Method, apparatus and program product for managing computing resources in a storage system | |
| CN112417748A (en) | Method, system, equipment and medium for scheduling automatic driving simulation task | |
| CN104239520A (en) | Historical-information-based HDFS (hadoop distributed file system) data block placement strategy | |
| CN111861035B (en) | Equipment task repair process optimization method and device, electronic equipment and readable storage medium | |
| Chiang et al. | A bi-objective metaheuristic approach to unpaced synchronous production line-balancing problems | |
| US11329900B1 (en) | Sequenced capacity deployment for WAN and datacenter networks | |
| US8201023B2 (en) | Test optimization | |
| Zeng et al. | Transfer lines with multi-machine stages and non-deterministic processing time: transient performance analysis and control | |
| US9443215B2 (en) | Next generation sequencing management |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |