CN111861036A - Equipment service optimization method and device, electronic device and readable storage medium - Google Patents

Abstract

The present application discloses an equipment service optimization method and device, an electronic device and a readable storage medium. The method includes: initializing the service time and service year of each equipment in the equipment service plan to be optimized; determining the degree of satisfaction of the service time and/or service year of each of the equipment to preset target mission requirements; determine whether to update the service time and/or age of the equipment. The present application solves the technical problem in the related art that due to the lack of effective planning of equipment service plans, the requirements for marshalling capabilities of various tasks cannot be met. Through the present application, the purpose of effectively planning the equipment service scheme is achieved, thereby achieving the technical effect of meeting the requirements of various tasks for the equipment grouping capability.

Description

Equipment service optimization method and device, electronic device and readable storage medium

technical field

The present application relates to the technical field of equipment service, in particular, to a data processing method and device, computer equipment and readable storage medium for equipment service optimization.

Background technique

The optimization of equipment service time and cycle means that only when the service time and service years of the equipment are variable, in order to meet the requirements for the marshalling ability to perform various tasks as much as possible at a certain moment or a certain period of time, the service time of the equipment is limited. The process of adjusting to the length of service. In this case, the repair interval of the equipment and the time in various repair states are carried out according to the ideal predetermined operation cycle.

The service time of the equipment is determined by factors such as the time when the equipment starts to be built, the construction speed, etc. If the assumed variation range is the first proportion of the average construction time, and the average construction time of a certain equipment is A1, then the range of the equipment service time is the planned service time. Time addition and subtraction A2, where the time period of A2 is A1 multiplied by the first ratio. If it is assumed that the service life of the equipment does not exceed the second proportion of the design life, and the service time of a certain equipment is B1 years, its service life becomes the interval value between B1 and B2 years, where the time period of B2-B1 is B1 multiplied by the first In two proportions, the deferred service parts are also repaired according to the operation cycle during the service period.

There is currently no effective planning method for equipment service plans in related technologies, resulting in the inability to meet the needs of various tasks for marshalling capabilities.

SUMMARY OF THE INVENTION

The main purpose of the present application is to provide an equipment service optimization method, so as to solve the problem that there is no effective planning method for equipment service plans in the related art, resulting in the inability to meet the requirements for marshalling capabilities of various tasks.

In order to achieve the above purpose, according to the first aspect of the present application, a method for optimizing equipment service is provided.

The equipment service optimization according to the present application includes: initializing the service time and service years of each equipment in the equipment service plan to be optimized; determining the satisfaction degree of the service time and/or service years of each said equipment to the preset target mission requirements ; Determine whether to update the service time and/or service years of the equipment according to the degree of satisfaction.

Further, before the determining of the service time and/or service years of each of the equipment to the degree of satisfaction of the preset target task requirements includes: judging whether the equipment service plan to be optimized meets the preset target task requirements; If not, the step of determining the degree of satisfaction of the service time and/or service years of each of the equipment to the preset target mission requirements is entered.

Further, the preset target task requirements include the number of equipment corresponding to the preset time point, and before determining the service time and/or service years of each of the equipment to satisfy the preset target task requirements includes: judging all the equipment. Whether the equipment quantity in the equipment service plan to be optimized reaches the equipment quantity corresponding to the preset time point; and whether to optimize the equipment service plan to be optimized is determined according to the judgment result.

Further, the determining of the service time and/or service years of each of the equipment to the degree of satisfaction of the preset target mission requirements includes: judging whether the current equipment is within the equipment service period; if so, traversing the current equipment corresponding to a plurality of service times, and respectively determine the degree of satisfaction of each of the service times to the preset target mission requirements; according to the satisfaction degree of each of the service times to the preset target mission requirements, determine whether to update the current The in-service time of the equipment and into the optimization of the next equipment.

Further, the determining the service time and/or service years of each of the equipment to meet the preset target task requirements includes: judging whether the current equipment is within the equipment service period; if not, traversing the current equipment corresponding to a plurality of years of service, and determine the degree of satisfaction of each of the years of service to the requirements of the preset target tasks; according to the degree of satisfaction of the requirements of the preset target tasks for each of the years of service, determine whether to update the current The service life of the equipment and into the optimization of the next equipment.

Further, determining the degree of satisfaction of the service time and/or service years of each of the equipment to the preset target task requirements includes: judging whether the current service time and/or service years of the equipment meets the preset target Mission requirements; if not, then determine whether the traversal of the equipment type corresponding to the current equipment is completed; if the traversal is not completed, then determine whether the service time and/or service years of other equipment in the equipment type corresponding to the current equipment are satisfied. the preset target task requirements.

In order to achieve the above object, according to the second aspect of the present application, an equipment service optimization device is provided.

The equipment service optimization device according to the present application includes: an initialization module for initializing the service time and service period of each equipment in the equipment service plan to be optimized; a first determination module for determining the service time and service period of each of the equipment The degree of satisfaction of the service period to the preset target task requirements; an update module, configured to determine whether to update the service time and/or the service period of the equipment according to the satisfaction degree.

Further, the device further includes: a first judging module for judging whether the equipment service plan to be optimized meets the preset target mission requirements; an entry module for entering and determining each The steps of describing the service time and/or service years of the equipment to the satisfaction of the preset target mission requirements.

In order to achieve the above object, according to a third aspect of the present application, an electronic device is provided, comprising: one or more processors; a storage device for storing one or more programs; when the one or more programs are The one or more processors, when executed, cause the one or more processors to implement a method as described in any preceding item.

In order to achieve the above object, according to a fourth aspect of the present application, a non-transitory readable storage medium is provided, on which computer instructions are stored, and when the instructions are executed by a processor, implement the steps of the method as described in any preceding item .

In the embodiments of the present application, the service time and service years of each equipment in the equipment service scheme to be optimized are initialized; the service time and/or service years of each said equipment are determined to satisfy the requirements of the preset target tasks. By determining whether to update the service time and/or service years of the equipment according to the satisfaction degree, the purpose of effectively planning the service plan of the equipment is achieved, thereby achieving the technical effect of meeting the requirements of various tasks for the equipment grouping capability, This further solves the technical problem in the related art that due to the lack of effective planning for the equipment service plan, the requirements for marshalling capabilities cannot be met by various tasks.

Description of drawings

The accompanying drawings, which constitute a part of this application, are used to provide a further understanding of the application and make other features, objects and advantages of the application more apparent. The accompanying drawings and descriptions of the exemplary embodiments of the present application are used to explain the present application, and do not constitute an improper limitation of the present application. In the attached image:

1 is a schematic flowchart of a method for optimizing equipment service in accordance with a first embodiment of the present application;

2 is a schematic flowchart of a method for optimizing equipment service in accordance with a second embodiment of the present application;

3 is a schematic flowchart of a method for optimizing equipment service in accordance with a third embodiment of the present application;

4 is a schematic flowchart of a method for optimizing equipment service in accordance with a fourth embodiment of the present application;

5 is a schematic flowchart of a method for optimizing equipment service in accordance with a fifth embodiment of the present application;

6 is a schematic flowchart of a method for optimizing equipment service in accordance with a sixth embodiment of the present application;

Fig. 7 is a flow chart of equipment service optimization according to an embodiment of the present application;

8 is a schematic diagram of an example of screening and judgment of the global optimal solution for equipment service according to an embodiment of the present application;

FIG. 9 is a schematic diagram of a composition structure of an equipment service optimization device according to an embodiment of the present application; and

FIG. 10 is a schematic diagram of a composition structure of an electronic device according to an embodiment of the present application.

Detailed ways

In order to make those skilled in the art better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only The embodiments are part of the present application, but not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the scope of protection of the present application.

It should be noted that the terms "first", "second", etc. in the description and claims of the present application and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances for the embodiments of the application described herein. Furthermore, the terms "comprising" and "having" and any variations thereof, are intended to cover non-exclusive inclusion, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those expressly listed Rather, those steps or units may include other steps or units not expressly listed or inherent to these processes, methods, products or devices.

It should be noted that the embodiments in the present application and the features of the embodiments may be combined with each other in the case of no conflict. The present application will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments.

The implicit condition for the optimization of equipment service time and years is that the number of equipment to be developed in the program cannot be adjusted. Under the current defense industry system, it can be considered that the service time between different types of equipment is independent, the same type of equipment is restricted by the production and maintenance capacity, and the service time has a certain constraint relationship, which is related; however, if the production capacity is sufficient , it can also be considered that the service time between the same type of equipment is independent. The service life of each equipment entity is considered to be independent of each other.

Based on this, an embodiment of the present application provides a method for optimizing equipment service. As shown in FIG. 1 , the method includes the following steps S101 to S103:

Step S101, initialize the service time and service years of each equipment in the equipment service plan to be optimized.

In the specific implementation, firstly, it is necessary to select the scheme to be optimized and initialize the service time and service life of each equipment in the scheme. The service time initialization is mainly to randomly initialize the service month, and the service period is initialized according to the design service life of the equipment. Another important work of initialization is choosing the time granularity of the simulation and setting the optimization goals. The granularity of simulation time refers to the accuracy of the description of the start and end time of each stage of equipment service, and refers to the specific description to the month, quarter, half year or year. The setting of the optimization target is mainly to set the task requirements to be met, including the time node of the target and the quantity requirements of the target equipment.

Step S102, determining the degree of satisfaction of the service time and/or service years of each of the equipment to the preset target task requirements.

During specific implementation, according to the solution to be optimized obtained after initialization, determine the service time or service years of each equipment to determine the degree of satisfaction of the preset target mission requirements. Specifically, the preset target task requirements may include the time node of the target and the quantity requirements of the target equipment. Whether the number of equipment can reach the preset target number of equipment and the extent to which it can be achieved.

Step S103, determining whether to update the service time and/or service years of the equipment according to the satisfaction degree.

During specific implementation, it is determined whether the service time or service year of the equipment needs to be updated according to the degree of satisfaction of the above-obtained service time or service year of each equipment to the preset target task requirements. For example, assuming that the preset target number of equipment at time node t is 100, and the number of equipment that can be served at time node t calculated according to the service time or service years of each equipment is 80, then the degree of satisfaction is 80/ 100=0.8, the preset target mission requirements are not met, and the service time or service years of the equipment need to be optimized and adjusted to achieve the optimal configuration of the equipment to meet the target requirements of various tasks as much as possible.

As a preferred implementation of the embodiment of the present application, as shown in FIG. 2 , before the determination of the service time and/or service year of each of the equipment to the degree of satisfaction of the preset target task requirements includes the following steps S201 to S201 to Step S202:

Step S201, judging whether the equipment service plan to be optimized meets the preset target task requirements.

Step S202, if not satisfied, enter the step of determining the degree of satisfaction of the service time and/or service years of each of the equipment to the preset target task requirements.

During the specific implementation, before determining the service time of the equipment or the degree of satisfaction of the service years for the preset target mission requirements, it is necessary to judge whether the equipment service plan to be optimized as a whole satisfies the preset target mission requirements. If the current equipment service plan If the preset target mission requirements have been met, there is no need to optimize the plan; if the preset target mission requirements are not met, it is necessary to determine whether to optimize the service time or service years of each equipment in the plan to make the plan Overall meet the preset target task requirements.

As a preferred implementation of the embodiment of the present application, as shown in FIG. 3 , the preset target task requirement includes the number of equipment corresponding to a preset time point, and the determining the service time and/or service of each of the equipment The degree of satisfaction of the age to the preset target task requirement includes the following steps S301 to S302:

Step S301, judging whether the equipment quantity in the equipment service plan to be optimized reaches the equipment quantity corresponding to the preset time point.

During specific implementation, when calculating the degree of satisfaction of the equipment service plan to be optimized for the target requirements, the preset target task requirements may include the number of equipment corresponding to the preset time point, and the calculation of the degree of satisfaction of the target at a single point in time may use the time point The quantity of various types of equipment that can be provided by the scheme is represented by the ratio of the quantity of various types of equipment to the quantity of target requirements, in which the quantity of various types of equipment to the quantity of target requirements is calculated by the ratio between the two. Satisfy.

Step S302, according to the judgment result, determine whether to optimize the equipment service plan to be optimized.

During specific implementation, according to the above calculation results, it can be determined whether the equipment service plan to be optimized meets the preset target mission requirements, and then it is determined whether the plan needs to be optimized. For example, the number of equipment corresponding to the preset time point t is 100, the number of various types of equipment that can be provided by the solution to be optimized at this time point t is 110, and the ratio of the two is 110/100=1.1>1, indicating that at this time point t The quantity of various types of equipment that can be provided by the solution to be optimized can meet the target task requirements at the preset time point, so there is no need to optimize the solution.

Optionally, the preset target task requirements may also include the number of equipment corresponding to the preset time period, and the time period target is represented by the ratio of the target satisfaction degree at each time point to the target satisfaction degree at the entire time point, which is equal to or approximately equal to 1. express satisfaction. In terms of visual performance, it is also possible to calculate the quantity of equipment that can be provided by the solution at multiple time points, fit it into a polyline, and display it in comparison with the polyline fitted to the target demand quantity value to visually show the degree of satisfaction of the solution.

As a preferred implementation of the embodiment of the present application, as shown in FIG. 4 , the determination of the service time and/or service years of each of the equipment to satisfy the preset target task requirements includes the following steps S401 to S401 S403:

Step S401, it is determined whether the current equipment is within the equipment service period.

During the specific implementation, when determining the service time of the equipment or the degree of satisfaction of the service period to the preset target task requirements, first determine the relationship between the time point of the sub-target to be satisfied and the service period of the equipment, that is, determine the current equipment according to the service time of the current equipment. Whether the equipment is still in the equipment service period. For example, the preset service period of the current equipment is A year, and the service period of the equipment is B years. Among them, if A is greater than B, the current equipment is still in the equipment service period, and if the equipment has been in service for A year, the current equipment The equipment is no longer in the equipment service period.

Step S402, if yes, traverse multiple service times corresponding to the current equipment, and respectively determine the degree of satisfaction of each service time to the preset target task requirement.

During specific implementation, if the current equipment is in the service period, all possible service times of the equipment are traversed, and the degree of satisfaction of the target for each service time corresponding to the equipment is judged in turn.

Step S403: Determine whether to update the current service time of the equipment and enter into the optimization of the next equipment according to the degree of satisfaction of the preset target task requirements for each service time.

During specific implementation, if a certain service time corresponding to the current equipment meets the requirements of the target mission, the service time of the equipment is updated to the service time corresponding to the target, and at the same time, it is transferred to the optimization of the next type of equipment; If all the service times cannot meet the requirements of the target task, the service time of the equipment is updated with the service time that meets the target degree best, and the optimization of the next equipment of this type is transferred at the same time.

As a preferred implementation of the embodiment of the present application, as shown in FIG. 5 , the determining of the service time and/or service years of each of the equipment to satisfy the preset target task requirements includes the following steps S501 to S501 S503:

Step S501, it is determined whether the current equipment is within the equipment service period.

During the specific implementation, when determining the service time of the equipment or the degree of satisfaction of the service period to the preset target task requirements, first determine the relationship between the time point of the sub-target to be satisfied and the service period of the equipment, that is, determine the current equipment according to the service time of the current equipment. Whether the equipment is still in the equipment service period.

Step S502, if not, traverse multiple service years corresponding to the current equipment, and determine the degree of satisfaction of each of the service years for the preset target task requirement.

During the specific implementation, if the current equipment is not in the service period, it is necessary to change the service period of the current equipment, traverse all the possible service years of the equipment, and judge the satisfaction degree of each service period to the target in turn.

Step S503, according to the degree of satisfaction of each of the service years to the preset target task requirements, determine whether to update the current service years of the equipment and enter into the optimization of the next equipment.

During the specific implementation, if a certain service life corresponding to the current equipment meets the target, it will be transferred to the optimization of the next type of equipment; if all the service years corresponding to the current equipment are not met, a temporary variable will be used to record the best degree of satisfaction of the target. The service years of the equipment, update the service years of the original equipment, and transfer to the analysis of the next equipment of this type.

It should be noted that, for the equipment that has been in service, the service time is earlier than the simulation start time, and its service time cannot be changed. Only the problem of changing the service life is considered, which is applicable to the above steps S501 to S503.

As a preferred implementation of the embodiment of the present application, as shown in FIG. 6 , the determination of the service time and/or service year of each of the equipment to satisfy the preset target task requirements includes the following steps S601 to S601 S603:

Step S601, judging whether the current service time and/or service years of the equipment meet the preset target task requirements.

Step S602, if not satisfied, judge whether the traversal of the equipment type corresponding to the current equipment is completed.

Step S603, if the traversal is not completed, determine whether the service time and/or service years of other equipment in the equipment type corresponding to the current equipment meet the preset target task requirements.

During the specific implementation, it is necessary to judge whether the service time or service life of the current equipment meets the preset target task requirements after adjustment. If so, the optimization is completed; All equipment has completed the traversal. If the traversal has not been completed, the above-mentioned optimization and adjustment operations are performed on the service time or service years of the remaining equipment in the equipment type until the target mission requirements are met; if all the equipment under the equipment type has completed the traversal, Then the optimization process for this type of equipment is ended.

In the above optimization process, if the target is satisfied, output the equipment plan after service time and service life as the better solution; otherwise, only output the equipment plan after service time and service life update as the approximate solution, indicating that the target cannot pass optimization is satisfied.

Δctⁱ为服役时间的变化范围，t服役年限为常数clⁱ，Δclⁱ为服役年限的变化范围。设未来某一时刻或某一时段内对各类型装备的数量需求，可以通过对矩阵Taskeq_R*N(t)的各列求和获得，其中某时刻的Taskeq_R*N由公式Taskeq_mk＝Taskf_ml*Fmeq_lk计算。As shown in FIG. 7, a flow chart of equipment service optimization is provided, wherein, suppose there are N types of equipment in a certain scheme, each type of equipment includes L entities, and the jth equipment entity (belonging to the i type) has Service time is

Δct ⁱ is the variation range of service time, t service years is a constant cl ⁱ , and Δcl ⁱ is the variation range of service years. Assuming that the quantity demand for various types of equipment at a certain time or period in the future can be obtained by summing the columns of the matrix Taskeq _R*N (t), where the Taskeq _R*N at a certain time is given by the formula Taskeq _mk = Taskf _ml *Fmeq _lk calculation.

This is a composite programming problem consisting of multiple all-integer programs. Objective function: the quantity of various types of equipment is greater than or equal to the number of mission requirements at a certain moment; constraints: the range and scope of adjustment of the entry time and decommissioning time of each equipment. The traditional integer programming solution methods include simplex method, graphic method, cutting plane method, branch and bound method, etc. However, the constraints here are weak constraints, and the solution to be sought does not necessarily have to be globally optimal. As long as the adjusted solution meets the lower limit of the grouping capacity requirement, the obtained solution is a feasible solution or a satisfactory solution. When searching the solution space, Usually, the solution can be found without traversing the entire solution space. Therefore, the whole compound programming can be solved by using the enumeration method to solve the integer programming of each type of equipment one by one. The solution sequence is carried out according to the order in which the equipment types are installed. The equipment that is installed (including installed) first, the uncertainty introduced in the formulation of the plan is relatively low, and the solution is first traversed, and the results obtained in this way are used for the actual implementation of the adjustment plan. more instructive.

If there is no upper limit for the optimization goal, adjusting the service and decommissioning time of equipment to maximize the requirements of the target mission can be transformed into the number and combination of tasks that can be met on the basis of meeting the minimum marshalling capability at the same time, the better. In this way, it can be translated that the annual quantity of each type of equipment should be greater than the minimum target requirement as much as possible. At the same time, the increase or decrease of the quantity of each type of equipment in the whole plan is relatively stable over time, and there is no major ups and downs. The following rules need to be used to measure such a global optimal solution:

Rule 1: On the basis of the basic plan, the set of plans to be evaluated is generated by changing the variables, and the optimal plan must first meet the minimum grouping capacity requirements;

Rule 2: The optimal solution has the largest area enclosed by the time axis in the analyzed time period;

Rule 3: Summarize the gradients of the changes in the number of plans before and after each sampling point, and take the difference between the maximum value (positive gradient) and the minimum value (negative gradient), and the difference should be as small as possible.

Using the above rules to judge the three schemes shown in Figure 8, scheme 1 is the optimal scheme.

From the above description, it can be seen that the present invention achieves the following technical effects: adopting the service time and service life of each equipment in the equipment service scheme to be optimized; determining the service time and/or service period of each said equipment By determining whether to update the service time and/or service years of the equipment according to the satisfaction degree, the purpose of effectively planning the service plan of the equipment is achieved, thereby realizing the satisfaction of various The technical effect of mission requirements on equipment marshalling capabilities.

It should be noted that the steps shown in the flowcharts of the accompanying drawings may be executed in a computer system, such as a set of computer-executable instructions, and, although a logical sequence is shown in the flowcharts, in some cases, Steps shown or described may be performed in an order different from that herein.

According to an embodiment of the present invention, an apparatus for implementing the above-mentioned equipment service optimization method is also provided. As shown in FIG. 9 , the apparatus includes: an initialization module 1 for initializing each equipment in the equipment service scheme to be optimized. Service time and service years; first determination module 2, used to determine the service time and/or service years of each of the equipment to meet the requirements of the preset target task; update module 3, used to determine according to the satisfaction degree Whether to update the service time and/or years of service of the equipment.

As a preferred implementation of the embodiment of the present application, the device further includes: a first judgment module for judging whether the equipment service plan to be optimized meets the preset target task requirements; an entry module for if If it is not satisfied, the step of determining the degree of satisfaction of the service time and/or service years of each of the equipment to the preset target mission requirements is entered.

As a preferred implementation of the embodiment of the present application, the preset target task requirement includes the number of equipment corresponding to a preset time point, and the device further includes: a second judgment module for judging the service of the equipment to be optimized. Whether the quantity of equipment in the plan reaches the quantity of equipment corresponding to the preset time point; the second determination module is configured to determine whether to optimize the service plan of the equipment to be optimized according to the judgment result.

As a preferred implementation of the embodiment of the present application, the determining module includes: a first determining unit for determining whether the current equipment is in the service period of the equipment; a first determining unit for traversing the current equipment corresponding multiple service times, and respectively determine the degree of satisfaction of each of the service times to the preset target task requirements; a first update unit, configured to update the preset target tasks according to each of the service times The degree of satisfaction of the requirements determines whether to update the service time of the current equipment and enter into the optimization of the next equipment.

As a preferred implementation of the embodiment of the present application, the determining module includes: a second determining unit for determining whether the current equipment is within the service period of the equipment; a second determining unit for traversing the current multiple service years corresponding to the equipment, and respectively determine the degree of satisfaction of each of the service years for the preset target task requirements; a second update unit, used for the preset target task according to each of the service years The degree of satisfaction of the requirements determines whether to update the service life of the current equipment and enter into the optimization of the next equipment.

As a preferred implementation of the embodiment of the present application, the determination module includes: a third determination unit, configured to determine whether the current service time and/or service years of the equipment meet the requirements of the preset target task; fourth The judgment unit is used for judging whether to complete the traversal of the equipment type corresponding to the current equipment if it is not satisfied; the fifth judgment unit is used for judging other equipment in the equipment type corresponding to the current equipment if the traversal is not completed. Whether the service time and/or years of service meet the preset target mission requirements.

Please refer to the specific description of the method section for the specific connection relationship between the above-mentioned modules and units and the functions performed, and will not be repeated here.

According to an embodiment of the present invention, a computer device is also provided, comprising: one or more processors; a storage device for storing one or more programs; when the one or more programs are stored by the one or more programs The processor, when executed, causes the one or more processors to implement the method as previously described.

According to an embodiment of the present invention, there is also provided a computer-readable storage medium on which computer instructions are stored, and when the instructions are executed by a processor, implement the steps of the aforementioned method.

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 in other ways, and the connection by a bus is taken as an example in FIG. 10 .

The processor 31 may be a central processing unit (Central Processing Unit, CPU). The processor 31 may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA) or Other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components and other chips, or a combination of the above types of chips. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

As a non-transitory computer-readable storage medium, the memory 32 can be used to store non-transitory software programs, non-transitory computer-executable programs and modules. The processor 31 executes various functional applications and data processing of the server by running the non-transitory software programs, instructions and modules stored in the memory 32, that is, implementing the equipment service optimization method of the above method embodiments.

The memory 32 may include a stored program area, which may store an operating system, an application program required for at least one function, and a stored data area, which may store data created according to use of a processing device operated by the server, and the like. Additionally, 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 remote memory may be connected to a network-connected device via a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

The input device 33 may receive inputted numerical or character information, and generate key signal input 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 memory 32, and when executed by one or more processors 31, perform 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, etc.) having computer-usable program code embodied therein. Computer instructions are for causing the computer to execute the equipment service 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 in the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing device to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing device produce Means for implementing the functions specified in a flow or flow of a flowchart and/or a block or blocks of a block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions The apparatus implements the functions specified in the flow or flows of the flowcharts and/or the block or blocks of the block diagrams.

These computer program instructions can also be loaded on a computer or other programmable data processing device to cause a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process such that The instructions provide steps for implementing the functions specified in the flow or blocks of the flowcharts and/or the block or blocks of the block diagrams.

Finally, specific embodiments are used in the present invention to illustrate the principles and implementations of the present invention. The descriptions of the above embodiments are only used to help understand the method and the core idea of the present invention; meanwhile, for those of ordinary skill in the art, According to the idea of the present invention, there will be changes in the specific embodiments and application scope. To sum up, the contents of this specification should not be construed as limiting 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.

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