CN114564835A - Rapid evaluation system for transmission success rate based on multi-attribute fusion fuzzy comprehensive evaluation - Google Patents
Rapid evaluation system for transmission success rate based on multi-attribute fusion fuzzy comprehensive evaluation Download PDFInfo
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Abstract
The invention discloses a rapid evaluation system for the transmission success rate based on multi-attribute fusion fuzzy comprehensive evaluation, which comprises: the equipment index system evaluation system comprises an equipment index system construction module, an equipment data acquisition and management module, an equipment index feature extraction module and an equipment combat readiness phase transmission success rate rapid evaluation module; the method comprises the steps of collecting various data of equipment by adopting theories and technologies such as an analytic hierarchy process, a data mining method and a fuzzy theory based on multi-attribute data of the equipment, completing emission success rate evaluation of an equipment combat readiness stage through feature extraction and multi-attribute fusion, carrying out multi-level evaluation on the equipment from three levels of parameters, core single machines and whole bomb by combining actual test data of multi-type, multi-product, multi-batch and multi-single machines collected under an equipment test task, quantifying qualitative factors by determining initial weights of evaluation indexes in the same level, reducing subjective influence to a certain extent and enabling evaluation to be more scientific.
Description
Technical Field
The invention relates to the technical field of equipment health management, in particular to a rapid evaluation system for the transmission success rate based on multi-attribute fusion fuzzy comprehensive evaluation.
Background
At present, the evaluation of the transmission success rate in the equipment combat readiness phase is completed mostly according to manual experience, the evaluation result is usually in a mode of 'not good or bad', the quantification is difficult, the accuracy and the confidence coefficient are not high, the evaluation mode is difficult to achieve real-time and rapid, and the evaluation mode is not suitable for the situation of the instantaneous change of a battlefield. In recent years, with the development of big data and artificial intelligence technologies, a method for evaluating the transmission success rate of equipment by replacing manual equipment with a plurality of machines appears, but the problems of single evaluation result, low accuracy and the like still exist.
The equipment combat readiness phase launch success rate evaluation is a key technology of equipment prediction and health management technology (PHM), and the principle of the method is that various data information of an equipment combat readiness phase of a sensor acquisition system is utilized, characteristics capable of reflecting corresponding index conditions of equipment are extracted from the data, fusion processing is carried out on the characteristics by utilizing an algorithm or a model and the like according to a corresponding index system, multi-attribute characteristic vectors are converted into a single evaluation index, finally, the health condition of the equipment can be reflected through an evaluation result, the launch success rate of the equipment is calculated, and an auxiliary decision is provided for equipment launch. At present, the shooting success rate evaluation of armies to equipment in the combat readiness stage is still in the stage of 'regular detection and expert scoring'. In the future, the arming force must have the ability of quickly launching large-batch equipment and accurately striking, and for the test data result of large-batch missiles, the workload is large, the evaluation time is long, the reliability is low, the arming force has higher contingency, and the arming force is not favorable for accurately evaluating the equipment.
Therefore, the technical staff in the field needs to solve the problem that various data of the equipment are collected by adopting theories and technologies such as an analytic hierarchy process, a data mining method, a fuzzy theory and the like based on the multi-attribute data of the equipment, and the emission success rate evaluation of the equipment preparation stage is completed through feature extraction and multi-attribute fusion.
Disclosure of Invention
In view of this, the invention provides a rapid evaluation system of the transmission success rate based on multi-attribute fusion fuzzy comprehensive evaluation; the method comprises the steps of collecting various data of equipment by adopting theories and technologies such as an analytic hierarchy process, a data mining method and a fuzzy theory based on multi-attribute data of the equipment, completing emission success rate evaluation of an equipment combat readiness stage through feature extraction and multi-attribute fusion, carrying out multi-level evaluation on the equipment from three levels of parameters, core single machines and whole bomb by combining actual test data of multi-type, multi-product, multi-batch and multi-single machines collected under an equipment test task, quantifying qualitative factors by determining initial weights of evaluation indexes in the same level, reducing subjective influence to a certain extent and enabling evaluation to be more scientific.
In order to achieve the purpose, the invention adopts the following technical scheme:
a rapid evaluation system for the transmission success rate based on multi-attribute fusion fuzzy comprehensive evaluation comprises: the equipment index system evaluation system comprises an equipment index system construction module, an equipment data acquisition and management module, an equipment index feature extraction module and an equipment combat readiness phase transmission success rate rapid evaluation module;
the equipment index system construction module is used for analyzing specific equipment models, combat readiness environments and combat readiness tasks, constructing an evaluation index system of an equipment combat readiness stage based on an analytic hierarchy process and a parameter weighting method, and determining the composition of various indexes and the weights of the indexes;
the equipment data acquisition and management module comprises a data acquisition device, a data transmission device and a database, wherein the data acquisition device acquires index data of an equipment combat readiness index system, the data transmission device is used for data transmission, and the database is used for importing, exporting and managing the data to finish the storage of various types of data of the system;
the equipment index feature extraction module is provided with a data analysis method and a feature extraction algorithm, and obtains features reflecting equipment health states and transmission success rates through data analysis and feature extraction aiming at multi-dimensional and multi-space-time test data corresponding to different indexes in the equipment fighting stage;
the rapid emissivity evaluation module at the strategic stage of the equipment performs attribute fusion and excavation on the characteristics, and realizes the evaluation on the success rate of equipment filling and generation.
Preferably, the construction of the equipment combat readiness stage index system adopts a fuzzy analytic hierarchy process, an evaluation index system of the equipment is obtained by comprehensively considering from combat readiness integrity parameters, command efficiency parameters, equipment design indexes, maintenance efficiency indexes and guarantee resource indexes of the equipment with specific models, and the weight of each index is determined, and the index system construction step comprises:
(1) the launching success rate of the equipment combat readiness phase is quickly evaluated to carry out task analysis on the system;
(2) the method comprises the steps that in the equipment combat readiness stage, the launching success rate is quickly evaluated, the system demand is analyzed, and a qualitative and quantitative index system is determined;
(3) and (4) calculating and verifying the system index parameters by quickly evaluating the transmission success rate in the equipment combat readiness stage.
Preferably, the equipment data acquisition and management module is used for storing and managing various data generated in the whole life cycle process of the equipment, the sensor acquires various monitoring data of the equipment, and the data is transmitted to the database for storage and management through the high-speed transmission channel.
Preferably, the equipment index feature extraction module firstly performs data type analysis on multi-dimensional and multi-spatio-temporal data corresponding to various indexes of equipment at different stages, and then selects a corresponding feature extraction algorithm according to the data type to complete feature extraction of the index data.
Preferably, the equipment combat readiness phase transmission success rate rapid evaluation module completes rapid evaluation of the equipment combat readiness phase transmission success rate through an evaluation index system of corresponding model equipment and data characteristics of each index.
According to the technical scheme, compared with the prior art, the invention discloses a rapid evaluation system for the transmission success rate based on multi-attribute fusion fuzzy comprehensive evaluation; the method comprises the steps of collecting various data of equipment by adopting theories and technologies such as an analytic hierarchy process, a data mining method and a fuzzy theory based on multi-attribute data of the equipment, completing emission success rate evaluation of an equipment combat readiness stage through feature extraction and multi-attribute fusion, carrying out multi-level evaluation on the equipment from three levels of parameters, core single machines and whole bomb by combining actual test data of multi-type, multi-product, multi-batch and multi-single machines collected under an equipment test task, quantifying qualitative factors by determining initial weights of evaluation indexes in the same level, reducing subjective influence to a certain extent and enabling evaluation to be more scientific.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic diagram of a system structure provided by the present invention.
Fig. 2 is a schematic diagram of a construction process of the armed combat readiness index system provided by the present invention.
Fig. 3 is a schematic diagram illustrating a method for rapidly evaluating the transmission success rate in the armed combat readiness phase according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses a system for quickly evaluating the transmission success rate based on multi-attribute fusion fuzzy comprehensive evaluation, which comprises the following steps: the equipment index system construction module, the equipment data acquisition and management module, the equipment index feature extraction module and the equipment combat readiness phase launch success rate rapid evaluation module;
the equipment index system building module is used for analyzing specific equipment models, combat readiness environments and combat readiness tasks, building an evaluation index system of an equipment combat readiness stage based on an analytic hierarchy process and a parameter weighting method, and determining the composition of various indexes and the weights of the indexes;
the equipment data acquisition and management module comprises a data acquisition device, a data transmission device and a database, wherein the data acquisition device acquires index data of an equipment combat readiness index system, the data transmission device is used for data transmission, and the database is used for importing, exporting and managing the data to finish the storage of various data of the system;
the equipment index feature extraction module is provided with a data analysis method and a feature extraction algorithm, and obtains features reflecting equipment health state and transmission success rate through data analysis and feature extraction aiming at multi-dimensional and multi-space-time test data corresponding to different indexes in the equipment fighting stage;
and the rapid emissivity evaluation module at the strategic equipment stage is used for performing attribute fusion and mining on the characteristics to realize the evaluation on the success rate of equipment filling and generation.
In order to further optimize the technical scheme, a fuzzy analytic hierarchy process is adopted for constructing an index system of the equipment combat readiness phase, an assessment index system of the equipment is obtained by comprehensively considering from combat readiness integrity parameters, command efficiency parameters, equipment design indexes, maintenance efficiency indexes and guaranteed resource indexes of equipment with specific models, and the weight of each index is determined, wherein the index system construction step comprises the following steps:
(1) the launching success rate of the equipment combat readiness phase is quickly evaluated to carry out task analysis on the system;
(2) the method comprises the steps that in the equipment combat readiness stage, the launching success rate is quickly evaluated, the system demand is analyzed, and a qualitative and quantitative index system is determined;
(3) and (4) calculating and verifying the system index parameters by quickly evaluating the transmission success rate in the equipment combat readiness stage.
In order to further optimize the technical scheme, the equipment data acquisition and management module is used for storing and managing various data generated in the whole life cycle process of the equipment, the sensor acquires various monitoring data of the equipment, and the data are transmitted to the database for storage and management through the high-speed transmission channel.
In order to further optimize the technical scheme, the equipment index feature extraction module firstly carries out data type analysis on multi-dimensional and multi-space-time data corresponding to various indexes of equipment at different stages, and then selects a corresponding feature extraction algorithm according to the data type to complete feature extraction of the index data.
In order to further optimize the technical scheme, the equipment combat readiness phase transmission success rate rapid evaluation module is used for rapidly evaluating the equipment combat readiness phase transmission success rate through an evaluation index system of corresponding type equipment and data characteristics of each index.
As shown in fig. 1, the system for rapidly evaluating the transmission success rate of equipment in the readiness stage based on multi-attribute fusion fuzzy comprehensive evaluation of the present invention comprises: the equipment combat readiness index system building module, the equipment data acquisition and management module, the equipment various index feature extraction module and the equipment combat readiness stage transmission success rate rapid evaluation module. The equipment combat readiness index system construction module automatically analyzes information such as equipment model, combat readiness environment, task type and the like, extracts an index system capable of reflecting the current equipment state by adopting methods such as an analytic hierarchy process, a fuzzy theory and the like, and determines the weight of various indexes and monitoring data corresponding to the indexes. The equipment data acquisition and management module acquires various data such as equipment operation data, current environment data and the like by using the sensor, the data is transmitted to the database for storage, and the database also stores equipment historical monitoring data, historical fault information, historical maintenance information and other data. And various index feature extraction modules are arranged to analyze the data types corresponding to various indexes of the index system in the combat preparation stage, and a proper feature extraction algorithm is adopted to extract the features of the data. And the equipment combat readiness stage launch success rate rapid evaluation module realizes the fusion of multi-attribute characteristics according to the equipment combat readiness stage index system and the characteristics corresponding to various indexes, and obtains the evaluation result of the equipment launch success rate from the part to the whole bomb comprehensive evaluation.
The armed combat readiness index architecture as shown in fig. 2 is constructed as follows:
the method mainly comprises the following 3 steps of task analysis of a device combat readiness phase launch success rate rapid evaluation system, demand analysis of the device combat readiness phase launch success rate rapid evaluation system, determination of a qualitative and quantitative index system, and calculation and verification of index parameters of the device combat readiness phase launch success rate rapid evaluation system.
(1) And (4) quickly evaluating the system task analysis in the launching success rate in the equipment combat readiness stage. Decomposing typical tasks of the equipment, determining specific factors related to the rapid evaluation system for the launching success rate of the equipment combat readiness phase, influencing the success rate and specific indexes of the tasks, analyzing the influence of the rapid evaluation system for the launching success rate of the equipment combat readiness phase on the tasks, and determining the relationship between the rapid evaluation system for the launching success rate of the equipment combat readiness phase and the top-level task target.
(2) And (3) rapidly evaluating the system requirement analysis and determining a qualitative and quantitative index system in the launching success rate of the equipment combat readiness stage. According to the relation between the rapid evaluation system for the launch success rate of the equipment combat readiness phase and the top-level task target, analysis of the demand of the health state evaluation function is carried out, and from a specific evaluation method, the qualitative and quantitative requirements of the rapid evaluation system for the launch success rate of the equipment combat readiness phase are analyzed and established in consideration of the requirements on timeliness and accuracy.
(3) And (4) calculating and verifying the system index parameters by quickly evaluating the transmission success rate in the equipment combat readiness stage. Parameter calculation is carried out by comprehensively utilizing methods such as index calculation, simulation analysis and the like, a scheme and an index system of the equipment combat readiness phase launch success rate rapid evaluation system are determined, the design of the equipment combat readiness phase launch success rate rapid evaluation system and the implementation condition of a top-level task target are verified, and the top-level task target is ensured to meet requirements.
The equipment data acquisition and management module consists of a data acquisition device and a database. The data acquisition device comprises various sensors and can acquire data of types such as current, voltage, temperature, humidity, vibration and the like in the equipment system. The relational database stores data in different tables instead of putting all data in a large warehouse, and has the characteristics of small volume, high speed and low cost, and the equipment data acquisition and management module supports batch import of equipment data, including task management, addition and deletion of state quantity, unified management of processing information and support on-line addition and deletion of data. Meanwhile, the database has large data storage capacity and high data transmission speed.
And various index feature extraction modules are equipped to extract the features of various data through feature extraction algorithms such as a threshold algorithm, an envelope algorithm, a similarity analysis method and the like. The threshold value analysis method is to give the threshold value range of the measured data, if the measured data exceeds the threshold value range, the abnormal threshold value analysis of the group of data is judged to comprise a critical value discrimination method and an N% error threshold value determination method. For some test parameters of the equipment, the distribution is in a waveform shape, the threshold value is not fixed and constant, and the threshold value is different at different moments. Therefore, the envelope curve has certain regularity or trend, and the envelope curve can be analyzed in more detail by adopting an envelope curve analysis method. Similarity measures are intended to quantify the degree of approximation between given data, and for time series they measure primarily whether there is a similar trend and morphology between the series. Since time series are often susceptible to noise, delay, fluctuation and other factors, the data of the time series often exhibit inconsistent amplitude, translation, discontinuity and other characteristics in representation form. Meanwhile, the similarity measurement has important application in tasks such as sequence search, clustering and the like, so that the accuracy and the effectiveness of time sequence upper-layer application analysis are greatly influenced by designing and realizing an effective similarity measurement method.
As shown in fig. 3, the rapid evaluation method of the module for evaluating the transmission success rate in the armed combat readiness phase is as follows:
the equipment system has complicated structural hierarchy and numerous subsystems and parts, when the equipment system is used for evaluating the transmission success rate, the structural hierarchy of the equipment is firstly analyzed to obtain data or knowledge related to the health states of the subsystems and the parts, so that a layered multi-information fusion transmission success rate model is established: the complex system is divided according to the structural hierarchy, the health state evaluation is carried out on the subsystems and the components, then the subsystems and the components are integrated according to a certain model, the overall health state of the complex system is obtained through integration, and meanwhile the health state of each subsystem and each component is mastered. And finally, obtaining the transmitting success rate of the equipment according to the comprehensive evaluation result.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (5)
1. A system for rapidly evaluating the transmission success rate based on multi-attribute fusion fuzzy comprehensive evaluation is characterized by comprising the following steps: the equipment index system construction module, the equipment data acquisition and management module, the equipment index feature extraction module and the equipment combat readiness phase launch success rate rapid evaluation module;
the equipment index system construction module is used for analyzing specific equipment models, combat readiness environments and combat readiness tasks, constructing an evaluation index system of an equipment combat readiness stage based on an analytic hierarchy process and a parameter weighting method, and determining the composition of various indexes and the weights of the indexes;
the equipment data acquisition and management module comprises a data acquisition device, a data transmission device and a database, wherein the data acquisition device acquires index data of an equipment combat readiness index system, the data transmission device is used for data transmission, and the database is used for importing, exporting and managing the data to finish the storage of various types of data of the system;
the equipment index feature extraction module is provided with a data analysis method and a feature extraction algorithm, and obtains features reflecting equipment health states and transmission success rates through data analysis and feature extraction aiming at multi-dimensional and multi-space-time test data corresponding to different indexes in the equipment fighting stage;
the rapid emissivity evaluation module at the strategic stage of the equipment performs attribute fusion and excavation on the characteristics, and realizes the evaluation on the success rate of equipment filling and generation.
2. The system for rapidly evaluating the transmission success rate based on the multi-attribute fusion fuzzy comprehensive evaluation as claimed in claim 1, characterized in that the construction of the equipment combat readiness phase index system adopts a fuzzy analytic hierarchy process, the evaluation index system of the equipment is obtained by comprehensively considering from combat readiness integrity parameter, command efficiency parameter, equipment design index, maintenance efficiency index and guaranteed resource index of the equipment with specific model, and the weight of each index is determined, the index system construction step includes:
(1) the launching success rate of the equipment combat readiness phase is quickly evaluated to carry out task analysis on the system;
(2) the method comprises the steps that in the equipment combat readiness stage, the launching success rate is quickly evaluated, the system demand is analyzed, and a qualitative and quantitative index system is determined;
(3) and (4) calculating and verifying the system index parameters by quickly evaluating the transmission success rate in the equipment combat readiness stage.
3. The system for rapidly evaluating the transmission success rate based on the multi-attribute fusion fuzzy comprehensive evaluation as claimed in claim 1, wherein the equipment data acquisition and management module is used for storing and managing various types of data generated in the whole life cycle process of the equipment, the sensor acquires various types of monitoring data of the equipment, and the data is transmitted to the database for storage and management through a high-speed transmission channel.
4. The system for rapidly evaluating the transmission success rate based on the multi-attribute fusion fuzzy comprehensive evaluation as claimed in claim 1, characterized in that the equipment index feature extraction module firstly performs data type analysis on multi-dimensional and multi-spatiotemporal data corresponding to various indexes of equipment at different stages, and then selects a corresponding feature extraction algorithm according to the data type to complete feature extraction of the index data.
5. The system of claim 1, wherein the module for rapidly evaluating the transmission success rate of the equipment readiness stage performs rapid evaluation of the transmission success rate of the equipment readiness stage by using an evaluation index system of equipment of a corresponding model and data characteristics of each index.
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