CN117236783A - Method and system for calculating various evaluation indexes for guaranteeing effectiveness of armored equipment - Google Patents
Method and system for calculating various evaluation indexes for guaranteeing effectiveness of armored equipment Download PDFInfo
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Abstract
The invention discloses a method and a system for calculating various evaluation indexes for guaranteeing effectiveness of armored equipment, wherein the method comprises the following steps: acquiring all state data of the armored equipment in a guarantee efficiency simulation period; sampling all state data according to the client demand and fixed time intervals to obtain sampling data for evaluation; defining a plurality of evaluation indexes of the security effectiveness of the armored equipment, wherein the plurality of evaluation indexes comprise the battle preparation integrity rate of main battle equipment, the repair rate of the security equipment during battle, the success rate of detection maintenance tasks under the current technical security conditions, the occupancy rate of the detection maintenance equipment, the success rate of rescue maintenance tasks, the success rate of energy supply vehicle tasks and the completion rate of detection maintenance tasks under the battle conditions; and determining an index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data.
Description
Technical Field
The invention relates to the technical field of armored equipment guarantee efficiency evaluation, in particular to a method and a system for calculating various evaluation indexes of the armored equipment guarantee efficiency.
Background
The method for evaluating the security effectiveness of the armored equipment is a supporting method for comprehensively evaluating the security of the armored equipment, the security effectiveness of the armored equipment cannot keep up with the modern combat needs, the generation of combat force is affected if the security effectiveness is light, and the fighter is musted if the security effectiveness is heavy, so that even more serious consequences are caused. Therefore, the method for evaluating the security performance of the armored equipment is more comprehensive, and the security evaluation of the equipment is imperative in order to clearly know the task situation of the equipment security system.
The existing method for evaluating the security effectiveness of the armored equipment has certain defects when in use, the evaluation of the armored equipment is single, the evaluation effect is poor, the evaluation accuracy cannot be greatly improved, the traditional evaluation method is difficult to adapt to modern war time requirements, the use of people is not facilitated, and certain adverse effects are brought to the use process of people.
Disclosure of Invention
In order to solve at least one of the problems described in the background art, the present invention provides a method and a system for calculating various evaluation indexes for ensuring effectiveness of armored equipment.
According to one aspect of the present invention, there is provided a method for calculating various evaluation indexes for ensuring effectiveness of armored equipment, comprising:
acquiring all state data of the armored equipment in a guarantee efficiency simulation period, wherein all state data comprise states of a guarantee team, master station equipment, various guarantee devices and equipment;
sampling all state data according to the client demand and fixed time intervals to obtain sampling data for evaluation;
defining a plurality of evaluation indexes of the security effectiveness of the armored equipment, wherein the plurality of evaluation indexes comprise the battle preparation integrity rate of main battle equipment, the repair rate of the security equipment during battle, the success rate of detection maintenance tasks under the current technical security conditions, the occupancy rate of the detection maintenance equipment, the success rate of rescue maintenance tasks, the success rate of energy supply vehicle tasks and the completion rate of detection maintenance tasks under the battle conditions;
and determining an index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data.
Optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
determining a first index calculation model of the battle equipment integrity rate of the main battle equipment, wherein the expression of the first index calculation model is as follows:
and determining an index value of the battle availability integrity rate of the main battle equipment of a certain type under a certain organization according to the first index calculation model and the sampling data.
Optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
determining a second index calculation model of the repair rate of the war time guarantee equipment, wherein the expression of the second index calculation model is as follows:
and determining an index value of the repair rate of the war time guarantee equipment according to the second index calculation model and the sampling data.
Optionally, determining an index calculation model of each evaluation index, and calculating an index value of each evaluation index according to the index calculation model and the sampling data, including:
determining a third index calculation model of the success rate of the detection maintenance task under the current technical support condition, wherein the expression of the third index calculation model is as follows:
and determining an index value of the success rate of the detection maintenance task under the current technical guarantee condition according to the third index calculation model and the sampling data.
Optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
determining a fourth index calculation model for detecting the occupancy rate of the maintenance equipment, wherein the expression of the fourth index calculation model is as follows:
and determining an index value for detecting the occupancy rate of the maintenance equipment according to the fourth index calculation model and the sampling data.
Optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
a fifth index calculation model for determining the success rate of the rescue and repair task, wherein the expression of the fifth index calculation model is as follows:
and determining an index value of the success rate of the rescue and repair task according to the fifth index calculation model and the sampling data.
Optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
determining a sixth index calculation model of the task success rate of the energy supply vehicle, wherein the expression of the sixth index calculation model is as follows:
and determining an index value of the task success rate of the energy supply vehicle according to the sixth index calculation model and the sampling data.
Optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
determining a seventh index calculation model for detecting the completion rate of the maintenance task under the combat condition, wherein the expression of the seventh index calculation model is as follows:
and determining an index value for detecting the completion rate of the maintenance task under the combat condition according to the seventh index calculation model and the sampling data.
According to still another aspect of the present invention, there is provided an evaluation index computing system for ensuring effectiveness of armored equipment, comprising:
the data acquisition module is used for acquiring all state data of the armored equipment in a guarantee efficiency simulation period, wherein all state data comprise states of a guarantee team, master station equipment, various guarantee devices and equipment;
the data sampling module is used for sampling all state data according to the client requirements and fixed time intervals to obtain sampling data for evaluation;
the evaluation index definition module is used for defining a plurality of evaluation indexes of the security effectiveness of the armored equipment, wherein the plurality of evaluation indexes comprise the combat readiness rate of the main combat equipment, the repair rate of the combat time security equipment, the success rate of the detection maintenance task under the current technical security condition, the occupancy rate of the detection maintenance equipment, the success rate of the rescue repair task, the success rate of the energy supply vehicle task and the completion rate of the detection maintenance task under the combat condition;
and the index calculation module is used for determining an index calculation model of each evaluation index and calculating the index value of each evaluation index according to the index calculation model and the sampling data.
According to a further aspect of the present invention there is provided a computer readable storage medium storing a computer program for performing the method according to any one of the above aspects of the present invention.
According to still another aspect of the present invention, there is provided an electronic device including: a processor; a memory for storing the processor-executable instructions; the processor is configured to read the executable instructions from the memory and execute the instructions to implement the method according to any of the above aspects of the present invention.
According to the method, all state data of the armored equipment in a guarantee efficiency simulation period are firstly obtained, then all state data are sampled according to a fixed time interval according to customer requirements, and then the guarantee efficiency of the armored equipment is evaluated into several aspects of combat readiness rate, repair rate, success rate of detection maintenance tasks, occupancy rate, success rate of rescue tasks, success rate of energy supply vehicles and the like, calculation modes of all evaluation indexes of the armored equipment are respectively modeled, and finally index values of all evaluation indexes are calculated by using a corresponding index calculation model and extracted sampling data, so that data can be conveniently and better obtained, accuracy is higher, and problems in the background art can be effectively solved.
Drawings
Exemplary embodiments of the present invention may be more completely understood in consideration of the following drawings:
FIG. 1 is a flow chart of a method for calculating various evaluation indexes for the performance of an armored equipment according to an exemplary embodiment of the present invention;
FIG. 2 is a schematic diagram of a data sampling flow provided by an exemplary embodiment of the present invention;
FIG. 3 is a schematic diagram of a system for calculating various evaluation indexes for ensuring effectiveness of armored equipment according to an exemplary embodiment of the present invention;
fig. 4 is a structure of an electronic device provided in an exemplary embodiment of the present invention.
Detailed Description
Hereinafter, exemplary embodiments according to the present invention will be described in detail with reference to the accompanying drawings. It should be apparent that the described embodiments are only some embodiments of the present invention and not all embodiments of the present invention, and it should be understood that the present invention is not limited by the example embodiments described herein.
It should be noted that: the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless it is specifically stated otherwise.
The invention aims to provide a more convenient method for summarizing the common externally provided interface implementation modes, integrating the external interfaces of all functions into the same system and unifying the calling modes. In the process of realizing the interface function, after relevant information of the interfaces is configured in the system integrating the interfaces, a developer does not need to care about respective calling modes of each interface, only needs to care about realization of service functions except the interface functions, and decouples parts of interface realization into an independent functional system, so that later maintenance of the project is facilitated.
Fig. 1 shows a flow chart of a method for calculating various evaluation indexes for guaranteeing effectiveness of armored equipment. As shown in fig. 1, the method for calculating various evaluation indexes of the protection efficacy of the armored equipment comprises the following steps:
step S101: acquiring all state data of the armored equipment in a guarantee efficiency simulation period, wherein all state data comprise states of a guarantee team, master station equipment, various guarantee devices and equipment;
in the embodiment of the invention, according to the characteristics of army armored equipment guarantee service, under the constraint of a traction and guarantee system of an equipment combat task, the core processing flow of armored equipment guarantee simulation is divided into four links for realizing the targets of analysis of the armored equipment guarantee service, evaluation of equipment guarantee efficiency and the like. The four links of the core processing flow are specifically described as follows:
(1) The equipment tasks are as follows: firstly, building an equipment task model, namely a specific training task/combat task; the method comprises the steps of determining the requirement of a task on equipment through decomposition of the task, and determining the equipment which is put into task execution according to the principle of equipment scheduling, so as to drive corresponding guarantee activities on the equipment;
(2) Equipment maintenance: simulating activities under equipment tasks, including task sections and working time of each equipment, and simulating various task activities according to the established working flow; meanwhile, the equipment wear condition is accumulated, so that possible faults are randomly generated according to the reliability index, and corresponding maintenance activities are driven;
(3) And (3) guarantee analysis and evaluation: and carrying out statistical analysis and evaluation on the data recorded in the calculation process. The data comprise the states of the team, equipment, various guarantee devices and equipment in the whole process, so that various time and utilization indexes can be counted, and correlation analysis and the like can be deeply carried out.
Step S102: sampling all state data according to the client demand and fixed time intervals to obtain sampling data for evaluation;
in the embodiment of the invention, after simulation deduction is performed, before index evaluation is performed, data to be evaluated is sampled, and the sampled data is sample space data for index calculation and evaluation. After the one-time deduction is finished, all states experienced by each device in the simulation period are summarized and analyzed according to the time granularity of a minute level, and when sampling is carried out, sampling is carried out according to the fixed time interval according to the requirement of a customer, so that an estimated sample space is generated. The sample attributes are mainly state data and time point data of the equipment.
As shown in fig. 2, the main sampling steps are as follows:
sample total composition
The composition of the total sample is mainly generated in the deduction process and is processed according to the following association relation:
organization structure-equipment category-equipment number-time attribute-state data
I.e. each time node, a piece of data about the specific equipment will be generated. The total sample amount is 60 samples of simulation period T (hours).
(two) sampling interval Generation
At the time of evaluation, status sampling is performed at fixed time intervals t. That is, part of data is extracted as the data to be evaluated, different sample spaces are generated at different sampling intervals, in theory, when the time granularity is maximum, the state is most accurate, but in order to improve the evaluation efficiency, a certain sampling interval is usually set, one simulation period is a training task of 1 year, and 1 minute is taken as the sample, so that the total amount of generated data is very huge, the number of equipment is 5250000 pieces of data, and the evaluation time is greatly reduced. And a large amount of status data is equipment idle.
(III) sample data summarization
The collected data can be written into a sample space, and the data format of the sample space still adopts the following structure:
organization structure-equipment category-equipment number-time attribute-state data
As input to the evaluation.
Each time a sample is taken, a sample space is generated.
Step S103: defining a plurality of evaluation indexes of the protective effectiveness of the armored equipment, wherein the plurality of evaluation indexes comprise the battle preparation intact rate of the main battle equipment, the repair rate of the protective equipment during battle, the success rate of the detection maintenance task under the current technical guarantee condition, the occupancy rate of the detection maintenance equipment, the success rate of the rescue maintenance task, the success rate of the energy supply vehicle task and the completion rate of the detection maintenance task under the battle condition.
In the embodiment of the invention, the typical combat style (battle array attack) of army is used as a background, combat task flows (including maneuvering, gathering, assault and the like) of various main combat equipment (main combat tank, step combat vehicle, self-propelled gun and the like) for synthesizing travel are constructed, combat loss (light loss, medium loss and heavy loss) events of the main combat equipment in the combat process are used as task requirements of combat time guaranteeing equipment, and a reasonable assessment index system is constructed. Six kinds of guarantee equipment are included in the present case: the system comprises a rescue repair vehicle, an electromechanical detection maintenance vehicle, a disassembly repair vehicle, a comprehensive maintenance vehicle, a power supply vehicle and an air source vehicle. Four types of war time technical support tasks: rescue repair task, detection maintenance task, energy supplement task, maintenance and maintenance task.
Aiming at armored equipment, the following parameter system is constructed, and the guarantee efficacy of the armored equipment is evaluated.
Table 1 parameter system for technical support efficacy assessment
Step S104: and determining an index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data.
In the embodiment of the invention, a discrete event-based simulation method is adopted, and based on a statistical principle, the guarantee efficiency index of the guarantee equipment is finally obtained through sampling calculation of simulation data, so that effective support is provided for the configuration of the guarantee equipment for synthetic travel.
Optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
determining a first index calculation model of the battle equipment integrity rate of the main battle equipment, wherein the expression of the first index calculation model is as follows:
and determining an index value of the battle availability integrity rate of the main battle equipment of a certain type under a certain organization according to the first index calculation model and the sampling data.
In the embodiment of the invention, the physical significance of the combat readiness index of the main combat equipment is as follows: the complete overall level of the equipment of a certain organization (travel, camp and company) at a certain time point is evaluated, and the basic capability of the equipment to fight is reflected, namely, a certain proportion of the equipment is kept at a measure of being capable of participating in a fight task at any time.
The index calculation model is as follows:
in the actual index application process, because of different types of main combat equipment and different organization structures, an evaluation relationship of organization-main combat equipment type-combat readiness percentage needs to be established, namely, in the evaluation of combat readiness percentage, elements to be evaluated relate to XX equipment under XX organization.
An example of combat readiness rate assessment is as follows in table 2:
table 2 combat readiness rate example
Optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
determining a second index calculation model of the repair rate of the war time guarantee equipment, wherein the expression of the second index calculation model is as follows:
and determining an index value of the repair rate of the war time guarantee equipment according to the second index calculation model and the sampling data.
In the embodiment of the invention, the physical meaning of the index of the repair rate of the war time guarantee equipment is as follows: in a typical combat scene, the proportion of the completion amount of the combat time rescue and repair tasks to the total combat loss amount reflects the effectiveness of the combat time guarantee equipment in recovering the combat capability of main combat equipment during one combat period.
The index calculation model is as follows:
optionally, determining an index calculation model of each evaluation index, and calculating an index value of each evaluation index according to the index calculation model and the sampling data, including:
determining a third index calculation model of the success rate of the detection maintenance task under the current technical support condition, wherein the expression of the third index calculation model is as follows:
and determining an index value of the success rate of the detection maintenance task under the current technical guarantee condition according to the third index calculation model and the sampling data.
In the embodiment of the invention, the physical meaning of the index for detecting the success rate of the maintenance task is as follows: reflecting the proportion that a certain organization (traveling, camping and connecting) can finish equipment detection maintenance tasks caused by equipment faults in the process of executing daily training tasks under the current technical support conditions.
Index calculation model and derivation process:
index input item:
1) Organization structure C
2) Time phase (simulation period): t (T)
3) Main warfare equipment category: n (N)
4) Electromechanical detection maintenance vehicle number: n is n
5) Main warfare equipment parameters: mean time between failures (MTBF Master), time to failure maintenance (MTTR Master)
6) Guaranteeing equipment parameters: mean time between failures (MTBF technique), time to failure maintenance (MTTR technique)
7) Training task schedule
Under the current organization structure, the total maintenance time requirements of various main warfare equipment are as follows:
the total maintenance time requirements of all equipment under the current organization are as follows:
the total detection and maintenance capacity is as follows:
the success rate calculation model of the detection maintenance task is as follows:
optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
determining a fourth index calculation model for detecting the occupancy rate of the maintenance equipment, wherein the expression of the fourth index calculation model is as follows:
and determining an index value for detecting the occupancy rate of the maintenance equipment according to the fourth index calculation model and the sampling data.
In the embodiment of the invention, the index physical meaning for detecting the occupancy rate of the maintenance equipment is as follows: the ratio of the number of uses of the maintenance equipment to the total number is currently checked over time.
The index calculation model for detecting the occupancy rate of the maintenance equipment is as follows:
calculating input:
1) Detecting total number of equipment
2) Status list of main warfare equipment
3) Total number of fault states N of main warfare equipment at a certain time (main warfare equipment)
4) Time granularity
5) Total number of electromechanical inspection maintenance vehicles N (electromechanical inspection maintenance vehicles) capable of executing tasks
Wherein: the total number of the electromechanical detection maintenance vehicles capable of executing the tasks is the total number of the electromechanical detection maintenance vehicles which is-1, and in a real scene, the maximum on-repair number of the electromechanical detection maintenance vehicles is 1, namely, 1 electromechanical detection maintenance vehicle is allowed to enter a maintenance state at most.
Optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
a fifth index calculation model for determining the success rate of the rescue and repair task, wherein the expression of the fifth index calculation model is as follows:
and determining an index value of the success rate of the rescue and repair task according to the fifth index calculation model and the sampling data.
In the embodiment of the invention, the physical meaning of the index of the success rate of the rescue task is as follows: under the battlefield environment, the specific gravity of the total number of heavy losses and the task amount of completing the rescue task under the current rescue equipment configuration. The index reflects the guarantee efficiency of the rescue vehicle under the battlefield condition.
Index calculation model:
calculating input:
1) Duration of combat T
2) Number of main warfare equipment types X
3) Number of main warfare equipments n i
4) Main warfare equipment heavy loss rate mu i
5) Heavy damage rate mu of rescue vehicle v
6) Battlefield rush repair time requirement t of main battle equipment i
7) Number N of rescue vehicles e
For a single type of equipment, the total number of heavy losses is:
number of heavy losses N i =main warfare equipment type N i * Number of main warfare equipments n i * Main warfare equipment heavy loss rate mu i
The total battlefield rush-repair time of single type equipment is T i ＝N i *t i
For the combat troops, the total number of heavy losses is:
the total battlefield rush-repair time tset is:
the total time amount T of the rescue and repair vehicle capable of executing tasks is:
the success rate of the battlefield rescue task is as follows:
in the actual calculation process, two types need to be distinguished:
1) Task success rate of 20T rescue vehicle
2) Task success rate of 40T rescue vehicle
Optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
determining a sixth index calculation model of the task success rate of the energy supply vehicle, wherein the expression of the sixth index calculation model is as follows:
and determining an index value of the task success rate of the energy supply vehicle according to the sixth index calculation model and the sampling data.
In the embodiment of the invention, the physical significance of the indexes of the task success rate of the energy supply vehicle is as follows: reflecting whether the energy supply capacity of the energy supply vehicle meets the use requirement of equipment in the scene of the combat mission.
Index calculation model:
the index calculation process comprises the following steps:
and (3) inputting indexes:
1) Simulation period T
2) Number of energy vehicles N
3) Maximum number of supported supplemental equipment C
4) Main warfare equipment type X i
5) Number of main warfare equipments N i
6) Energy source of main warfare equipmentSupply time requirement t1 i
7) Energy duration t2 of main warfare equipment i
8) MTBF, MTTR of energy vehicle
9) Number of energy vehicles N v
Total time of demand T for single type of main warfare equipment energy supply Need i The method comprises the following steps:
number of main warfare devices number of replenishment times replenishment time requirement (where replenishment times are mission cycles/endurance time) is:
total time demand T for energy replenishment Total (S) The method comprises the following steps:
total amount of energy replenishment time
Total time T of single energy vehicle capable of executing task k The method comprises the following steps:
total time T of energy vehicle capable of executing task Energy source The method comprises the following steps:
the task success rate of the energy vehicle is:
optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
determining a seventh index calculation model for detecting the completion rate of the maintenance task under the combat condition, wherein the expression of the seventh index calculation model is as follows:
and determining an index value for detecting the completion rate of the maintenance task under the combat condition according to the seventh index calculation model and the sampling data.
In the embodiment of the invention, the physical meaning of the index for detecting the completion rate of the maintenance task under the combat condition is as follows: in the combat mission, aiming at the detection and maintenance requirements of medium damage and light damage of main combat equipment, the ratio of the number of detection and maintenance tasks completed by the electromechanical detection and maintenance vehicle to the total maintenance task in the combat cycle is evaluated.
Index calculation model:
the calculation process is as follows:
1) Index calculation parameters:
2) Main warfare equipment type N
3) Number of main warfare equipments N i
4) Electromechanical detection maintenance vehicle number N maintenance vehicle
5) Light loss rate u i
6) Rate of medium loss v i
7) Battlefield detection maintenance time t i
8) Battlefield detection maintenance window time T Window
Battlefield rush repair time total demand T Is required to Number of equipment for battle loss rate the equipment battle field rush repair time t 1
T Is required to ＝T Light loss +T Middle damage
Total battlefield first-aid repair capacity T Total amount of The method comprises the following steps:
T total amount of ＝T Window *N Maintenance vehicle
The completion rate of the detection maintenance task under the combat condition is as follows:
in summary, the method comprises the steps of firstly obtaining all state data of the armored equipment in a guarantee efficiency simulation period, then sampling all state data according to a fixed time interval according to customer requirements, secondly evaluating the guarantee efficiency of the armored equipment into several aspects of combat readiness rate, repair rate, detection maintenance task success rate, occupancy rate, rescue task success rate, energy supply vehicle task success rate and the like, respectively modeling calculation modes of various evaluation indexes of the armored equipment, and finally calculating index values of various evaluation indexes by using a corresponding index calculation model and extracted sampling data, thereby being convenient for better obtaining data, having higher accuracy and effectively solving the problems in the background technology.
Exemplary apparatus
Fig. 3 is a schematic structural diagram of a calculation system for various evaluation indexes of the performance of armored equipment according to an exemplary embodiment of the present invention. As shown in fig. 3, the system 300 includes:
the data acquisition module 310 is configured to acquire all state data of the armored equipment in a guarantee efficacy simulation period, where all state data includes states of a guarantee team, a master station device, various guarantee devices and equipment;
the data sampling module 320 is configured to sample all state data according to a fixed time interval according to a customer requirement, so as to obtain sampled data for evaluation;
the evaluation index definition module 330 is configured to define a plurality of evaluation indexes of the security effectiveness of the armored equipment, where the plurality of evaluation indexes include a combat readiness rate of the main combat equipment, a repair rate of the combat time security equipment, a success rate of a detection maintenance task under a current technical security condition, an occupancy rate of the detection maintenance equipment, a success rate of a rescue repair task, a success rate of an energy supply vehicle task, and a completion rate of the detection maintenance task under a combat condition;
the index calculation module 340 is configured to determine an index calculation model of each evaluation index, and calculate an index value of each evaluation index according to the index calculation model and the sampling data.
Optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
determining a first index calculation model of the battle equipment integrity rate of the main battle equipment, wherein the expression of the first index calculation model is as follows:
and determining an index value of the battle availability integrity rate of the main battle equipment of a certain type under a certain organization according to the first index calculation model and the sampling data.
Optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
determining a second index calculation model of the repair rate of the war time guarantee equipment, wherein the expression of the second index calculation model is as follows:
and determining an index value of the repair rate of the war time guarantee equipment according to the second index calculation model and the sampling data.
Optionally, determining an index calculation model of each evaluation index, and calculating an index value of each evaluation index according to the index calculation model and the sampling data, including:
determining a third index calculation model of the success rate of the detection maintenance task under the current technical support condition, wherein the expression of the third index calculation model is as follows:
and determining an index value of the success rate of the detection maintenance task under the current technical guarantee condition according to the third index calculation model and the sampling data.
Optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
determining a fourth index calculation model for detecting the occupancy rate of the maintenance equipment, wherein the expression of the fourth index calculation model is as follows:
and determining an index value for detecting the occupancy rate of the maintenance equipment according to the fourth index calculation model and the sampling data.
Optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
a fifth index calculation model for determining the success rate of the rescue and repair task, wherein the expression of the fifth index calculation model is as follows:
and determining an index value of the success rate of the rescue and repair task according to the fifth index calculation model and the sampling data.
Optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
determining a sixth index calculation model of the task success rate of the energy supply vehicle, wherein the expression of the sixth index calculation model is as follows:
and determining an index value of the task success rate of the energy supply vehicle according to the sixth index calculation model and the sampling data.
Optionally, the determining the index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data includes:
determining a seventh index calculation model for detecting the completion rate of the maintenance task under the combat condition, wherein the expression of the seventh index calculation model is as follows:
and determining an index value for detecting the completion rate of the maintenance task under the combat condition according to the seventh index calculation model and the sampling data.
The calculation system of each evaluation index for the security performance of the armored equipment in the embodiment of the present invention corresponds to the calculation method of each evaluation index for the security performance of the armored equipment in another embodiment of the present invention, and is not described herein.
Exemplary electronic device
Fig. 4 is a structure of an electronic device provided in an exemplary embodiment of the present invention. As shown in fig. 4, the electronic device 40 includes one or more processors 41 and memory 42.
The processor 41 may be a Central Processing Unit (CPU) or other form of processing unit having data processing and/or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.
Memory 42 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like. One or more computer program instructions may be stored on the computer readable storage medium that may be executed by the processor 41 to implement the method of information mining historical change records and/or other desired functions of the software program of the various embodiments of the present invention described above. In one example, the electronic device may further include: an input device 43 and an output device 44, which are interconnected by a bus system and/or other forms of connection mechanisms (not shown).
In addition, the input device 43 may also include, for example, a keyboard, a mouse, and the like.
The output device 44 can output various information to the outside. The output device 44 may include, for example, a display, speakers, a printer, and a communication network and remote output apparatus connected thereto, etc.
Of course, only some of the components of the electronic device that are relevant to the present invention are shown in fig. 4 for simplicity, components such as buses, input/output interfaces, etc. being omitted. In addition, the electronic device may include any other suitable components depending on the particular application.
Exemplary computer program product and computer readable storage Medium
In addition to the methods and apparatus described above, embodiments of the invention may also be a computer program product comprising computer program instructions which, when executed by a processor, cause the processor to perform steps in a method according to various embodiments of the invention described in the "exemplary methods" section of this specification.
The computer program product may write program code for performing operations of embodiments of the present invention in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present invention may also be a computer-readable storage medium, having stored thereon computer program instructions which, when executed by a processor, cause the processor to perform the steps in a method of mining history change records according to various embodiments of the present invention described in the "exemplary methods" section above in this specification.
The computer readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The basic principles of the present invention have been described above in connection with specific embodiments, however, it should be noted that the advantages, benefits, effects, etc. mentioned in the present invention are merely examples and not intended to be limiting, and these advantages, benefits, effects, etc. are not to be considered as essential to the various embodiments of the present invention. Furthermore, the specific details disclosed herein are for purposes of illustration and understanding only, and are not intended to be limiting, as the invention is not necessarily limited to practice with the above described specific details.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different manner from other embodiments, so that the same or similar parts between the embodiments are mutually referred to. For system embodiments, the description is relatively simple as it essentially corresponds to method embodiments, and reference should be made to the description of method embodiments for relevant points.
The block diagrams of the devices, systems, apparatuses, systems according to the present invention are merely illustrative examples and are not intended to require or imply that the connections, arrangements, configurations must be made in the manner shown in the block diagrams. As will be appreciated by one of skill in the art, the devices, systems, apparatuses, systems may be connected, arranged, configured in any manner. Words such as "including," "comprising," "having," and the like are words of openness and mean "including but not limited to," and are used interchangeably therewith. The terms "or" and "as used herein refer to and are used interchangeably with the term" and/or "unless the context clearly indicates otherwise. The term "such as" as used herein refers to, and is used interchangeably with, the phrase "such as, but not limited to.
The method and system of the present invention may be implemented in a number of ways. For example, the methods and systems of the present invention may be implemented by software, hardware, firmware, or any combination of software, hardware, firmware. The above-described sequence of steps for the method is for illustration only, and the steps of the method of the present invention are not limited to the sequence specifically described above unless specifically stated otherwise. Furthermore, in some embodiments, the present invention may also be embodied as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present invention. Thus, the present invention also covers a recording medium storing a program for executing the method according to the present invention.
It is also noted that in the systems, devices and methods of the present invention, components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered as equivalent aspects of the present invention. The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the invention. Thus, the present invention is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit embodiments of the invention to the form disclosed herein. Although a number of example aspects and embodiments have been discussed above, a person of ordinary skill in the art will recognize certain variations, modifications, alterations, additions, and subcombinations thereof.
Claims (10)
1. The method for calculating each evaluation index for the guarantee efficacy of the armored equipment is characterized by comprising the following steps of:
acquiring all state data of the armored equipment in a guarantee efficiency simulation period, wherein all state data comprise states of a guarantee team, master station equipment, various guarantee devices and equipment;
sampling all state data according to the client demand and fixed time intervals to obtain sampling data for evaluation;
defining a plurality of evaluation indexes of the security effectiveness of the armored equipment, wherein the plurality of evaluation indexes comprise the battle preparation integrity rate of main battle equipment, the repair rate of the security equipment during battle, the success rate of detection maintenance tasks under the current technical security conditions, the occupancy rate of the detection maintenance equipment, the success rate of rescue maintenance tasks, the success rate of energy supply vehicle tasks and the completion rate of detection maintenance tasks under the battle conditions;
and determining an index calculation model of each evaluation index, and calculating the index value of each evaluation index according to the index calculation model and the sampling data.
2. The method of claim 1, wherein determining an index calculation model for each evaluation index and calculating an index value for each evaluation index based on the index calculation model and the sampling data comprises:
determining a first index calculation model of the battle equipment integrity rate of the main battle equipment, wherein the expression of the first index calculation model is as follows:
and determining an index value of the battle availability integrity rate of the main battle equipment of a certain type under a certain organization according to the first index calculation model and the sampling data.
3. The method of claim 1, wherein determining an index calculation model for each evaluation index and calculating an index value for each evaluation index based on the index calculation model and the sampling data comprises:
determining a second index calculation model of the repair rate of the war time guarantee equipment, wherein the expression of the second index calculation model is as follows:
and determining an index value of the repair rate of the war time guarantee equipment according to the second index calculation model and the sampling data.
4. The method according to claim 1, wherein determining an index calculation model of each evaluation index, and calculating an index value of each evaluation index based on the index calculation model and the sampling data, comprises:
determining a third index calculation model of the success rate of the detection maintenance task under the current technical support condition, wherein the expression of the third index calculation model is as follows:
and determining an index value of the success rate of the detection maintenance task under the current technical guarantee condition according to the third index calculation model and the sampling data.
5. The method of claim 1, wherein determining an index calculation model for each evaluation index and calculating an index value for each evaluation index based on the index calculation model and the sampling data comprises:
determining a fourth index calculation model for detecting the occupancy rate of the maintenance equipment, wherein the expression of the fourth index calculation model is as follows:
and determining an index value for detecting the occupancy rate of the maintenance equipment according to the fourth index calculation model and the sampling data.
6. The method of claim 1, wherein determining an index calculation model for each evaluation index and calculating an index value for each evaluation index based on the index calculation model and the sampling data comprises:
a fifth index calculation model for determining the success rate of the rescue and repair task, wherein the expression of the fifth index calculation model is as follows:
and determining an index value of the success rate of the rescue and repair task according to the fifth index calculation model and the sampling data.
7. The method of claim 1, wherein determining an index calculation model for each evaluation index and calculating an index value for each evaluation index based on the index calculation model and the sampling data comprises:
determining a sixth index calculation model of the task success rate of the energy supply vehicle, wherein the expression of the sixth index calculation model is as follows:
and determining an index value of the task success rate of the energy supply vehicle according to the sixth index calculation model and the sampling data.
8. The method of claim 1, wherein determining an index calculation model for each evaluation index and calculating an index value for each evaluation index based on the index calculation model and the sampling data comprises:
determining a seventh index calculation model for detecting the completion rate of the maintenance task under the combat condition, wherein the expression of the seventh index calculation model is as follows:
and determining an index value for detecting the completion rate of the maintenance task under the combat condition according to the seventh index calculation model and the sampling data.
9. A computing system for evaluating various indicators of performance of an armored equipment, comprising:
the data acquisition module is used for acquiring all state data of the armored equipment in a guarantee efficiency simulation period, wherein all state data comprise states of a guarantee team, master station equipment, various guarantee devices and equipment;
the data sampling module is used for sampling all state data according to the client requirements and fixed time intervals to obtain sampling data for evaluation;
the evaluation index definition module is used for defining a plurality of evaluation indexes of the security effectiveness of the armored equipment, wherein the plurality of evaluation indexes comprise the combat readiness rate of the main combat equipment, the repair rate of the combat time security equipment, the success rate of the detection maintenance task under the current technical security condition, the occupancy rate of the detection maintenance equipment, the success rate of the rescue repair task, the success rate of the energy supply vehicle task and the completion rate of the detection maintenance task under the combat condition;
and the index calculation module is used for determining an index calculation model of each evaluation index and calculating the index value of each evaluation index according to the index calculation model and the sampling data.
10. A computer readable storage medium, characterized in that the storage medium stores a computer program for executing the method of any of the preceding claims 1-8.
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