CN109933907A - A kind of method for building up and device of military equipment management business model - Google Patents
A kind of method for building up and device of military equipment management business model Download PDFInfo
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Abstract
The present invention a kind of method for building up and device of military equipment management business model, belong to a kind of method for building up of military equipment management business model, a kind of method for building up of military equipment management business model provided by the invention, comprising: establish regular group；Dealing with relationship for rule group is set；Algorithms library is established, the algorithms library includes rudimentary algorithm, data structure algorithm, dynamic programming algorithm；Configuration parameter is established, the configuration parameter defines profiling and invisible parameter priority, weight and threshold value by equipping analyst；Establish external data input module, working efficiency effectively is improved with information-based and automatic technology and method by creation business model, military equipment management business systemization is constructed, form standardization process, knowledge accumulation is subjected to commercialization encapsulation, regular group and the parameter configuration that business model standardizes military equipment management business model make military equipment management business model standardize and standardize to unified business model scheduling and execute.
Description
Technical field
The present invention relates to a kind of method for building up of military equipment management business model, and in particular to a kind of military equipment management business model
Method for building up and device.
Background technique
Military equipment management is complicated system engineering, and establishing the military equipment management business model accurately solved is in key points and difficulties
Hold.
Numerous professional domain personnel are needed to combine the progress of a small amount of empirical model a large amount of artificial currently, military equipment management business is carried out
Processing and analysis work.Military equipment management vocational work effectively can not be carried out with information-based and automatic technology and method, caused
Working efficiency can not greatly improve.Military equipment management business model lacks effective integrated design method simultaneously, and equipment is caused to manage
Reason business model architecture, standardization and commercialization work can not effectively be carried out.
Summary of the invention
The present invention provides the method for building up and device of a kind of military equipment management business model, it is therefore intended that it solves the above problems,
It solves military equipment management business method and effectively carries out military equipment management vocational work with information-based and automatic technology and method, cause work
Making efficiency can not greatly improve, while military equipment management business model lacks effective integrated design method, causes military equipment management
The problem of business model architecture, standardization and commercialization work can not effectively be carried out.
To achieve the above object, The technical solution adopted by the invention is as follows:
A kind of method for building up of military equipment management business model, comprising:
Establish regular group；
Dealing with relationship for rule group is set；
Algorithms library is established, the algorithms library includes rudimentary algorithm, data structure algorithm, dynamic programming algorithm；
Configuration parameter is established, the configuration parameter defines profiling and priority, weight of invisible parameter by equipping analyst
And threshold value；
Establish external data input port, data source of the external data input port from configuration, the configuration
Data source include database, data file；
Business model is that regular group, configuration parameter and external data input port are exported by algorithms library.
The dealing with relationship for rule group specifically includes:
The historical data for obtaining equipment carries out data mining to the historical data and obtains rule base, the historical data
For associated data in the life cycle of equipment, the rule base set has the algorithmic rule of different classes of data.
The setting rule group is dealt with relationship, further includes:
Intercept some time node in the historical data, and using the equipment data at moment where the timing node as
Current equipment data, equip data, using the data before the moment where the timing node as history with the timing node
Data after the moment of place are as equipment prediction data；
It is pre- in some time node of the historical data, currently to equip data, history equipment data and equipment
Measured data carries out deep learning training and is iterated optimization to business model.
During the current equipment data, history equipment data and equipment prediction data carry out deep learning training,
Data analysis of law is equipped with the history, and by the regular iteration optimization and is stored in the rule base for being used for deploying, institute
Stating rule base is in military equipment management business model for equipping the configuration rule of resource.
During the current equipment data, history equipment data and equipment prediction data carry out deep learning training,
Obtain the state currently equipped, the state currently equipped with manage constraint, capacity consistency and resource constraint information into
Row constraint, obtains equipment live data, and the equipment live data contains the potentiality information of equipment capability.
The method for building up of the military equipment management business model, further includes:
Create military equipment management business division, the military equipment management business division for stored in a warehouse to equipment, using, send and repair
Emulation matching；
The military equipment management business division carries out analog simulation to the intensity and plan target of equipment, and to the echelon of equipment
Application plan is planned, is alarmed if the intensity of equipment is not enough to execute task to user.
The method for building up of the military equipment management business model, further includes:
Creation equipment future anticipation business division, the equipment future anticipation business division are used for according to the shape currently equipped
State obtains resource data and equipment planning data by business model and predicts equipment future state.
The equipment future anticipation business division carries out resource distribution according to the related information, and the resource distribution includes
Air materiel consumption, working service, resource raise confession and buying allotment.
The external data input main body further includes obtaining to fly ginseng record data, and the winged ginseng record data bring emulation number into
It carries out simulating and flying ginseng analysis in the twin model of word and exports experimental data.
A kind of military equipment management business model establishes device, comprising:
Rule sets up formwork erection block, for establishing regular group；
Regular group of relationship establishes module, for dealing with relationship for rule group to be arranged；
Algorithms library establishes module, and for establishing algorithms library, the algorithms library includes rudimentary algorithm, data structure algorithm, moves
State planning algorithm；
Configuration parameter establishes module, for establishing configuration parameter, the configuration parameter by equip analyst define it is profiling and
Priority, weight and the threshold value of invisible parameter；
External data establishes module, for establishing external data input port, the external data input port from
The data source of configuration, the data source of the configuration include database, data file；
Processing module obtains regular group, configuration parameter and external data input port by algorithms library for business model
To output.
The invention has the advantages that effectively being mentioned with information-based and automatic technology with method by creation business model
Military equipment management business systemization is constructed, forms standardization process by high working efficiency, and knowledge accumulation is carried out commercialization envelope
Dress, regular group and the parameter configuration that business model standardizes military equipment management business model, thus with unified business model
Scheduling and execution make military equipment management business model standardize and standardize.
Detailed description of the invention
Fig. 1 is a kind of Establishing process figure of the method for building up of military equipment management business model in one embodiment of the invention.
Fig. 2 is a kind of Establishing process block diagram for establishing device of military equipment management business model in one embodiment of the invention.
Fig. 3 is a kind of operational flow diagram of the method for building up of military equipment management business model in one embodiment of the invention.
Fig. 4 is that the structure of Fig. 3 operational flow diagram divides schematic diagram.
Fig. 5 carries out in advance equipment state for the method for building up of military equipment management business model a kind of in one embodiment of the invention
The flow chart surveyed and used.
Specific embodiment
The application can be used in numerous general or special purpose computer installation environment or configuration.Such as: personal computer, clothes
Business device computer, handheld device or portable device, laptop device, multi-processor device including any of the above device are set
Standby distributed computing environment etc..
The application can describe in the general context of computer-executable instructions executed by a computer, such as program
Module.Generally, program module includes routines performing specific tasks or implementing specific abstract data types, programs, objects, group
Part, data structure etc..The application can also be practiced in a distributed computing environment, in these distributed computing environments, by
Task is executed by the connected remote processing devices of communication network.In a distributed computing environment, program module can be with
In the local and remote computer storage media including storage equipment.
Firstly the need of explanation, in each embodiment of the present invention, related term are as follows:
Business model, particularly as being military equipment management business model, for obtaining, handling analysis and output as a result, for locating
The associated data of equipment is managed, and the associated data is integrated, it is right for Intelligent treatment existing weaponry and equipment data and prediction Future Data
The whole information of equipment is integrated.
Rule base carries out the database that the various regular collections after integration summary are to the rule of a kind of data.
In the following, by the foundation by several specific embodiments to military equipment management business model provided in an embodiment of the present invention
Scheme describes in detail explanation.
Referring to FIG. 1, a kind of method for building up of the military equipment management business model provided it illustrates one embodiment of the invention
Method flow diagram, the method for building up of the military equipment management business model, comprising:
101, establish regular group；
102, dealing with relationship for rule group is set；
103, algorithms library is established, the algorithms library includes rudimentary algorithm, data structure algorithm, dynamic programming algorithm；
104, establish configuration parameter, the configuration parameter by equip analyst define profiling and invisible parameter priority,
Weight and threshold value；
105, establish external data input port, the external data input port from configuration data source, it is described
The data source of configuration includes database, data file；
106, business model is exported regular group, configuration parameter and external data input port by algorithms library.
In conclusion to establish the military equipment management business model accurately solved, in establishing military equipment management business model, rule
That then organizes deals with relationship specifically, associated data in the life cycle of equipment are extracted its rule, and setting one includes dress
The rule base of associated data in standby life cycle makes business model possess most basic processing logic, and creates again
The twin model of the simulated digital of each subassembly in equipment equips each subassembly of equipment under the support of huge data
Twin synchronization simulation is digitized, so that business model can be with the standing state of synchronized update equipment and the following shape of prediction by simulation
State carries out equipment state information in business model along with user continually enters available data in external data-in port
Correction obtains accurate existing weaponry and equipment status data and predicted state data so that business model is constantly updated；
Outside business model, regular group, configuration parameter and external data input port are established, respectively to equipment data
It is inputted and is exported, allow existing weaponry and equipment status data by user's incoming traffic model, and will be at business model
It manages the data obtained and shows user, so that user effectively understands existing weaponry and equipment state and future equipment state, for creation
Business model effectively improves working efficiency with information-based and automatic technology and method, by military equipment management business system structure
It builds.Standardization process is formd, knowledge accumulation is subjected to commercialization encapsulation, business model advises military equipment management business model
Regular group of model and parameter configuration make military equipment management business model standardize to unified business model scheduling and execute
And standardization.
Further, the dealing with relationship for rule group specifically includes:
The historical data for obtaining equipment carries out data mining to the historical data and obtains rule base, the historical data
For associated data in the life cycle of equipment, the rule base set has the algorithmic rule of different classes of data.
In above-described embodiment, in the historical data, difference can be obtained to the excavation of the historical data with life cycle
The rule of categorical data simultaneously therefrom extracts rule function, and rule function is gathered formation rule library, is obtained in business model
External data when needing to handle, extract core parameter in rule base and handled.
Further, what the setting rule was organized deals with relationship, further includes:
Intercept some time node in the historical data, and using the equipment data at moment where the timing node as
Current equipment data, equip data, using the data before the moment where the timing node as history with the timing node
Data after the moment of place are as equipment prediction data；
It is pre- in some time node of the historical data, currently to equip data, history equipment data and equipment
Measured data carries out deep learning training and is iterated optimization to business model.
It is further such that business model is more accurate and creation, business model can carry out self in above-described embodiment
Deep learning training intercepts multiple timing nodes in historical data, the equipment data conduct at moment where each timing node
Current equipment data, equip data, using the data before the moment where the timing node as history with the timing node
Data after the moment of place are as equipment prediction data；It is current to equip data and resource combination history equipment in three groups of data
Data predict Future Data, and obtain various rule rules, carry out depth optimization to the processing accuracy of business model.
Further, the current equipment data, history equipment data and equipment prediction data carry out deep learning training
During, data analysis of law is equipped with the history, and by the regular iteration optimization and be stored in the rule for being used for deploying
Then in library, the rule base is in military equipment management business model for equipping the configuration rule of resource.
In above-described embodiment, the equipment prediction data after the timing node is compared to the prediction result for obtaining prediction, if
The regular rule of this time of self deep learning is then added in rule base by prediction result within true scope, and substitutes one
The rule for being weaker than rule rule in rule base, so that the rule base in business model is continuous in self deep learning
Iteration optimization, so that business model is obtaining current equipment state and predicting that the result of future equipment state is more accurate.
Further, the current equipment data, history equipment data and equipment prediction data carry out deep learning training
During, the state currently equipped is obtained, the state currently equipped is to manage constraint, capacity consistency and resource about
Beam information is constrained, and equipment live data is obtained, and the equipment live data contains the potentiality information of equipment capability.
In above-described embodiment, when business model carries out processing analysis to equipment current state, user inputs various management
Constraint, capacity consistency and resource constraint information, above-mentioned three's information is the constraint information that can not be overcome in practice, in this information
On, business model carries out Accurate Prediction to the truth and potentiality information of current equipment state, and excavates and overcoming management about
On the basis of beam, capacity consistency and resource constraint information, the use of maximum fighting capacity information and saving resource to equipment is carried out most
Good optimization is excavated.
In business model during self deep learning, equally to management constraint, capacity consistency and the resource of history
Constraint information combines the state currently equipped to optimize excavation, learns the matching efficiency of history, and processing obtains more preferably to industry
Business model is iterated optimization.
Further, Fig. 3 or Fig. 4 is please referred to, it illustrates a kind of military equipment management industry provided by one embodiment of the present invention
The operational flow diagram of the method for building up of business model, the business model further include:
Create military equipment management business division, the military equipment management business division for stored in a warehouse to equipment, using, send and repair
Emulation matching；
It, can be right in historical data by excavating when business model carries out relationship to current equipment in above-described embodiment
Equipment stored in a warehouse, using, send and repair, and usage history stored in a warehouse to equipment, using, send the rule repaired, to current equipment shape
State is managed, simulate equipment stored in a warehouse, using, send and repair emulation matching, the more easily current equipment of management.
Further, referring to FIG. 5, it illustrates a kind of military equipment management business models provided by one embodiment of the present invention
Method for building up the flow chart that equipment state is predicted and is used, intensity of the military equipment management business division to equipment
Analog simulation is carried out with plan target, and the echelon application plan of equipment is planned, if the intensity of equipment is not enough to execute
Task is then alarmed to user.
In above-described embodiment, before equipping execution task, analog simulation is carried out to subassembly each in each equipment, to ensure
Each subassembly its intensity in the task of execution can complete the completion of the task, using under twin imitation technology, in conjunction with business
The data of each sub- equipment in model predict the intensity of son equipment, and be not enough to hold in equipment intensity under the data of twin emulation
User's prompt is given when the row task in time, it is ensured that task and personnel's is satisfactory.
Further, further includes: creation equipment future anticipation business division, the equipment future anticipation business division are used for
It is pre- to equipment future state progress by modeling engine acquisition resource data and equipment planning data according to the state currently equipped
It surveys.
In the present embodiment, business model establishes completely regular organize in complete self-teaching and deals with relationship with what rule was organized
Afterwards, business model can be used to predict equipment future state after obtaining current preset data, facilitate user to equipment
Carry out implementation management.
Further, Fig. 3 or Fig. 4 is please referred to, it illustrates a kind of military equipment management industry provided by one embodiment of the present invention
The operational flow diagram of the method for building up of business model, the equipment future anticipation business division carry out resource according to the related information
Configuration, the resource distribution includes air materiel consumption, working service, resource raises confession and buying is deployed.
In above-described embodiment, under the huge data supporting of business model, in the prediction letter of the life cycle of output equipment
When breath, while the foreseeable all information of institute in the life cycle prediction section of data equipment, it is pre- in the life cycle for predicting standby
It can be used for countermeasuress after surveying the interior foreseeable all information of institute of section and hoisting power countermeasuress optimize, so that equipment
Resource constraint in resource most probable big be used.
Further, Fig. 3 or Fig. 4 is please referred to, it illustrates a kind of military equipment management industry provided by one embodiment of the present invention
The operational flow diagram of the method for building up of business model, the equipment future anticipation business division carry out resource according to the related information
Configuration, the resource distribution includes air materiel consumption, working service, resource raises confession and buying is deployed.
In above-described embodiment, under the mass data support of business model, various management constraints, ability are keyed in about in user
Under beam and resource constraint information, resource maximum is integrated and the resource being used that the resource most probable in resource constraint is big
Carry out detailed configuration, detailed configuration includes that air materiel consumption, working service, resource raise confession and buying allotment etc..
Further, Fig. 3 or Fig. 4 is please referred to, it illustrates a kind of military equipment management industry provided by one embodiment of the present invention
The operational flow diagram of the method for building up of business model, the external data input port further includes obtaining to fly ginseng record data, described
Winged ginseng record data bring into the twin model of simulated digital simulate and fly to join and analyze and export experimental data.
It further include flying ginseng record data, business model is obtaining in the mass data that business model obtains in above-described embodiment
Take fly ginseng record data after will, fly ginseng record data bring into the twin model of simulated digital carries out simulate and fly ginseng analyze and obtain
Experimental data so that the twin model of number is more accurate, business model it is more accurate simulate the parameter number equipped in reality
According to.
Referring to FIG. 2, establishing device it illustrates a kind of military equipment management business model of one embodiment of the invention offer
Establishing process block diagram, which establishes device, comprising:
Rule sets up formwork erection block 201, for establishing regular group；
Regular group of relationship establishes module 202, for dealing with relationship for rule group to be arranged；
Algorithms library establishes module 203, for establishing algorithms library, the algorithms library include rudimentary algorithm, data structure algorithm,
Dynamic programming algorithm；
Configuration parameter establishes module 204, and for establishing configuration parameter, the configuration parameter is defined profiling by equipment analyst
With the priority, weight and threshold value of invisible parameter；
External data establishes module 205, and for establishing external data input port, the external data input port is come from
In the data source of configuration, the data source of the configuration includes database, data file；
Regular group, configuration parameter and external data input port are passed through algorithms library for business model by processing module 206
It is exported.
In above-described embodiment, to establish the military equipment management business model accurately solved, military equipment management business model is being established
In, rule group deal with relationship specifically, by associated data in the life cycle of equipment extract its rule, a packet is set
The rule base of associated data in life cycle containing equipment makes business model possess most basic processing logic, and again
The twin model of simulated digital of each subassembly in creation equipment fills under the support of huge data to each subassembly is equipped
The twin synchronization simulation of standby digitlization so that business model by simulation can with synchronized update equip standing state and prediction not
Carry out state, along with user continually enters available data in external data-in port, to equipment state information in business model
It is corrected, so that business model is constantly updated, obtains accurate existing weaponry and equipment status data and predicted state data；
Outside business model, regular group, configuration parameter and external data input port are established, respectively to equipment data
It is inputted and is exported, allow existing weaponry and equipment status data by user's incoming traffic model, and will be at business model
It manages the data obtained and shows user, so that user effectively understands existing weaponry and equipment state and future equipment state, for creation
Business model effectively improves working efficiency with information-based and automatic technology and method, by military equipment management business system structure
It builds.Standardization process is formd, knowledge accumulation is subjected to commercialization encapsulation, business model advises military equipment management business model
Regular group of model and parameter configuration make military equipment management business model standardize to unified business model scheduling and execute
And standardization.
Above-mentioned specific design and preferred embodiment can be used as convenient those skilled in the art understand that and implementing.
It should be understood that the device of establishing of military equipment management business model provided by the above embodiment is establishing military equipment management
When business model, only the example of the division of the above functional modules, in practical application, can according to need and will be upper
It states function distribution to be completed by different functional modules, i.e., is divided into the internal structure for establishing device of military equipment management business model
Different functional modules, to complete all or part of the functions described above.In addition, military equipment management provided by the above embodiment
The embodiment of the method for the foundation for establishing device and military equipment management business model of business model belongs to same design, implements
Process is detailed in embodiment of the method, and which is not described herein again.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Those of ordinary skill in the art will appreciate that realizing that all or part of the steps of above-described embodiment can pass through hardware
It completes, relevant hardware can also be instructed to complete by program, the program can store in a kind of computer-readable
In storage medium, storage medium mentioned above can be read-only memory, disk or CD etc..The foregoing is merely the present invention
Preferred embodiment, be not intended to limit the invention, all within the spirits and principles of the present invention, it is made it is any modification, etc.
With replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of method for building up of military equipment management business model, comprising:
Establish regular group；
Dealing with relationship for rule group is set；
Algorithms library is established, the algorithms library includes rudimentary algorithm, data structure algorithm, dynamic programming algorithm；
Configuration parameter is established, the configuration parameter defines profiling and invisible parameter priority, weight and threshold by equipping analyst
Value；
Establish external data input port, data source of the external data input port from configuration, the number of the configuration
It include database, data file according to source；
Business model is that regular group, configuration parameter and external data input port are exported by algorithms library.
2. a kind of method for building up of military equipment management business model as described in claim 1, which is characterized in that the place of the rule group
Reason relationship specifically includes:
The historical data for obtaining equipment carries out data mining to the historical data and obtains rule base, and the historical data is dress
Associated data in standby life cycle, the rule base set have the algorithmic rule of different classes of data.
3. a kind of method for building up of military equipment management business model as claimed in claim 2, which is characterized in that the regular group of the setting
Deal with relationship, further includes:
Some time node in the historical data is intercepted, and using the equipment data at moment where the timing node as currently
Data are equipped, data are equipped using the data before the moment where the timing node as history, where the timing node
Data after moment are as equipment prediction data；
In some time node of the historical data, currently to equip data, history equipment data and equipment prediction number
Optimization is iterated to business model according to deep learning training is carried out.
4. a kind of method for building up of military equipment management business model as claimed in claim 3, which is characterized in that the current equipment number
During carrying out deep learning training according to, history equipment data and equipment prediction data, with history equipment data analysis
Rule, and by the regular iteration optimization and be stored in the rule base for being used for deploying, the rule base is military equipment management business
For equipping the configuration rule of resource in model.
5. a kind of method for building up of military equipment management business model as claimed in claim 4, which is characterized in that the current equipment number
During carrying out deep learning training according to, history equipment data and equipment prediction data, the state currently equipped is obtained,
The state currently equipped is constrained with managing constraint, capacity consistency and resource constraint information, obtains equipment live data,
The equipment live data contains the potentiality information of equipment capability.
6. a kind of method for building up of military equipment management business model as described in claim 1, which is characterized in that the military equipment management industry
The method for building up of business model, further includes:
Create military equipment management business division, the military equipment management business division for stored in a warehouse to equipment, using, send and repair emulation
Matching；
The military equipment management business division carries out analog simulation to the intensity and plan target of equipment, and uses the echelon of equipment
Plan is planned, is alarmed if the intensity of equipment is not enough to execute task to user.
7. a kind of method for building up of military equipment management business model as described in claim 1, which is characterized in that the military equipment management industry
The method for building up of business model, further includes:
Creation equipment future anticipation business division, the equipment future anticipation business division are used for logical according to the state currently equipped
Business model acquisition resource data and equipment planning data is crossed to predict equipment future state.
8. a kind of method for building up of military equipment management business model as claimed in claim 7, which is characterized in that the equipment is following pre-
It surveys business division and resource distribution is carried out according to the related information, the resource distribution includes air materiel consumption, working service, resource
Raise confession and buying allotment.
9. a kind of method for building up of military equipment management business model as claimed in claim 7, which is characterized in that the external data is defeated
Entering main body further includes obtaining to fly ginseng record data, the winged ginseng record data bring into the twin model of simulated digital simulate and
Fly ginseng to analyze and export experimental data.
10. a kind of military equipment management business model establishes device characterized by comprising
Rule sets up formwork erection block, for establishing regular group；
Regular group of relationship establishes module, for dealing with relationship for rule group to be arranged；
Algorithms library establishes module, and for establishing algorithms library, the algorithms library includes rudimentary algorithm, data structure algorithm, dynamic rule
Cost-effective method；
Configuration parameter establishes module, and for establishing configuration parameter, the configuration parameter is defined profiling and stealthy by equipment analyst
Priority, weight and the threshold value of parameter；
External data establishes module, and for establishing external data input port, the external data input port is from configuration
Data source, the data source of the configuration includes database, data file；
Processing module, for business model by regular group, configuration parameter and external data input port by algorithms library obtain it is defeated
Out.
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| CN110750345A (en) * | 2019-10-16 | 2020-02-04 | 北京航空航天大学 | Efficient complex task scheduling system of digital twin system |
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| CN115080544A (en) * | 2022-06-30 | 2022-09-20 | 北京亚控科技发展有限公司 | Method and device for twin and subscription organization history state |
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