CN109726886A - A kind of naval vessel Integrated Optimal Design method of task based access control driving - Google Patents
A kind of naval vessel Integrated Optimal Design method of task based access control driving Download PDFInfo
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Abstract
The invention discloses a kind of naval vessel Integrated Optimal Design methods of task based access control driving, this method comprises:, for ship design element, logically mapping relations, establish task domain, functional domain, system domain, device Domain respectively 1) from user demand;2) granularity subdivision is carried out for the node of task domain, functional domain, system domain respectively, obtains subdivision unit, establishes the incidence relation of each subdivision unit;3) it will be provided with the polynary isomery functional unit of similar features or incidence relation, carry out lightweight, Intensive Design and reconfigure, complete system reconfiguration;4) man-machine function allocation optimization principles are based on, flow of task reconstruction is completed;5) quantitatively evaluating and the comparative analysis for completing task design scheme, form feasible program.The present invention uses the integration mode of task based access control driving, can effectively optimize dress warship system scale, improve running efficiency of system, reduces staffing and reduce full phase in longevity expense.
Description
Technical field
The present invention relates to the naval vessel integrated optimizations that naval vessel overall assembly optimisation technique more particularly to a kind of task based access control drive
Design method.
Background technique
Ship System is huge, structure is complicated, target multiplicity, function synthesized, factor are numerous, fights, training, ensures
The classification diversification of task, relevance is strong, performing environment is complicated, big to manpower demand amount.The comprehensive effectiveness of full warship system depends on
Situation is performed integrally in each task.Naval vessel Integrated Optimal Design is to be used using improving marine integrated efficiency as target meeting
Under the premise of the performance indicator of family demand pull requires, using system engineering thought and technological innovation, by the relatively independent function in naval vessel
Energy, equipment etc. are integrated among system that is interrelated, unified and coordinating, are carried out choosing comprehensively, are reached satisfactory system
It emerges in large numbers, makes the utilization rate highest of naval vessel weight, space, energy and information etc., to realize optimization dress warship system scale, improve system
System operational efficiency reduces staffing and full phase in the longevity expense of reduction etc..
The backwardness theory of " subsequent to consider warship person and its expense ", introduces people during USN's abandoning tradition warship development
Force system integrates (Human System Integration:HSI) technology, uses the System Engineering Design " centered on warship person "
Method is realized and cuts payroll to improve efficiency and reduce full phase in longevity the goal of cost.DDG1000, will using " staffing of zero-base plinth " concept as the beginning
Warship person (148 people) incorporates the design decision of early stage as critical performance parameters (Key Performance Parameter:KPP)
In, compared with II A type warship of DDG51, displacement weighs more than 5000 tons, and fighting efficiency is substantially improved, staffing reduction 52.8%.Root
It is counted according to Research Advisory Committee, naval (Naval Research Advisory Committee:NRAC), in naval vessels
Always possess in expense (Total Ownership Cost:TOC), warship person and its service guarantee expense occupy nearly 40%, therefore
The reduction of DDG1000 staffing, which is brought, always possesses expense reduction 20%.
The previous naval vessel overall assembly design method in China, which uses, is based on the relatively cured function system character-driven of bottom
Integration mode.Since relatively cured function system element boundary division isolates, isolates, interaction between system and according to
Bad relationship is not strong, and interface conjunctionn degree is poor, the integration mode thus driven cause system pile up formula combination functional redundancy and mutually
Interference, in turn results in vicious circle, the serious promotion for restricting naval vessel overall capacity.Be mainly reflected in naval vessel physical composition " it is small and
Entirely, dissipate more ", command relation's complexity and low efficiency, staffing is too fat to move, and comprehensive effective utilization is not high.Therefore, it needs to carry out warship
The research of ship integrated optimization method, incorporates HSI design concept, proposes the integration mode of task based access control driving.Using top-down
Integrated Optimal Design method starts analysis, integrated system, substantially not by existed system on the basis of top-level task and functional requirement
Limitation, seek equalization point between the subdivision of system particles degree and integrative packaging design, by optimization system resource distribution and
Organic combination realizes the reconstruct of existed system functional character, and then the flattened management of realization system is reproduced by flow of task
With use.In naval vessel Integrated Optimal Design iteration and continue in evolutionary process, function system most optimum distribution of resources and organic combination
It brings benign income and system is emerged in large numbers, such as system component devices type, quantity, volume, the redundancy optimization of weight and be
The promotion of system Operating ettectiveness, so that the maximization of marine integrated fight capability and space, displacement, energy and information etc. be effectively relieved
The contradiction of resource shortage.
Summary of the invention
The technical problem to be solved in the present invention is that for the defects in the prior art, a kind of task based access control driving is provided
Naval vessel Integrated Optimal Design method.
The technical solution adopted by the present invention to solve the technical problems is: a kind of naval vessel integrated optimization of task based access control driving
Design method, comprising the following steps:
Step 1) is from user demand, and for ship design element, logically mapping relations, establish task respectively
Domain, functional domain, system domain, device Domain carry out node subdivision for task domain, functional domain, system domain, device Domain, are then based on
One-to-many ownership principle, establishes the incidence relation of each domain node, multiple nodes in a node corresponding function domain of task domain,
Multiple nodes in one node correspondence system domain of functional domain, a node of system domain correspond to multiple nodes of device Domain;
Step 2) uses top-down mode, carries out granularity for the node of task domain, functional domain, system domain respectively
Subdivision, obtains subdivision unit, establishes the incidence relation of each subdivision unit;
Step 3) is based on the least redundancy design requirement, will be provided under the premise of ensuring system robustness and reliability
The polynary isomery functional unit of similar features or incidence relation carries out lightweight, Intensive Design and reconfigures, completes system
Reconstruct;
Step 4) is based on man-machine function allocation optimization principles, by using automation, informationization and intellectualized technology, adjustment
The functional unit executing subject of system, by according to fixed process, repeatability and many and diverse operation task by robotic automation system
It executes, and then completes flow of task reconstruction;
Step 5) is based on carrier-borne resource consumption, economic cost, man-machine system efficiency and personnel reduction rate, establishes naval vessel integrated optimization
Multiobjective comprehensive decision model;Using bottom-up approach, is integrated for analysis result, complete the amount of task design scheme
Change evaluation and comparative analysis;If meeting the traction property index request of user demand, feasible program is formed, otherwise return step
3) it, iterates until meeting the requirements.
According to the above scheme, the node for task domain carries out granularity subdivision, obtains subdivision unit, specific as follows:
Node subdivision is carried out for naval vessel task domain, is decomposed into several main tasks, and then main task is decomposed into detail
Thin task, each task in detail is a node;
Granularity subdivision is carried out for the detailed task in naval vessel, is divided into task layer, event layers, behavior layer, movement layer;Each layer
Definition and relationship description are as follows:
Task layer refers to complete a series of combined sequence of subtasks of target;
Event layers refer to the combined sequence that subtask module divides, and are not related to specific behavior, mutually indepedent between event;
Behavior layer is by the sequential combination of man-machine system manner, including monitoring, 4 types of management, decision and execution
Type;Wherein, monitoring activity, which refers to, is paid attention to, recognized and is confirmed for task execution environment and equipment feedback information;Management row
Comprehensive analysis, understanding or even prediction are carried out to collection information to refer to, and then realize the real-time control to task situation;Decision row
To refer on the basis of building monitoring and management provides information, comprehensive analysis judges and provides feasible action scheme;Execute row
Action scheme is implemented using defined operation sequence to refer to;
Movement layer refers to the sequential combination that operating personnel specifically acts, wherein process performing is decomposed into mobile class and operation
Class movement;Mobile class movement refers to change in location and stance adjustment of the operating personnel during task;Operation class movement refers to
Operational motion of the operating personnel to object.
According to the above scheme, described to be based on carrier-borne resource consumption, economic cost, man-machine system efficiency and personnel reduction rate, foundation
Naval vessel integrated optimization multiobjective comprehensive decision model, specific as follows:
1) evaluation index is determined;
Level-one evaluation index: carrier-borne resource consumption, economic cost, man-machine system efficiency and personnel reduction rate;
Two-level appraisement index:
Carrier-borne resource consumption: including functional cabin volume, accommodation volume, functional facilities load, living facilities load,
Equipment energy consumption and life energy consumption;
Economic cost: including equipment operating cost, equipment purchase cost, structure and attached material expense;
Man-machine system efficiency: including task completion time, crewman's workload;
Personnel reduction rate: including personnel reduction rate;
2) weight coefficient of evaluation index is determined;
The weight coefficient of integrated optimization Indexes of Evaluation Effect is determined using AHP group decision-making algorithm.First according to judgment matrix
It is judged for the expert in group decision is counter, assigns expert itself weight;Then the weight vectors of judgment matrix are calculated
And confidence level;It is finally merged for judgment matrix, determines index weights.
The beneficial effect comprise that: the present invention be effectively relieved marine integrated fight capability maximize with space,
The contradiction of the resource shortages such as displacement, energy and information realizes redundancy optimization and personnel reduction and enlargement target, provides the solution of universality
Certainly scheme.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples, in attached drawing:
Fig. 1 is the method flow diagram of the embodiment of the present invention;
Fig. 2 is the logical mappings relation schematic diagram of the ship design element of the embodiment of the present invention;
Fig. 3 is the granularity subdivision schematic diagram of each domain node of the embodiment of the present invention;
Fig. 4 is the naval vessel task domain Node Decomposition schematic diagram of the embodiment of the present invention;
Fig. 5 is the detailed task level structural decomposition diagram in naval vessel of the embodiment of the present invention;
Fig. 6 is the naval vessel integrated optimization Effect Evaluation Index System schematic diagram of the embodiment of the present invention;
Fig. 7 is the naval vessel operation navigational duty design element logical mappings relation schematic diagram of the embodiment of the present invention.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, is not used to limit
The fixed present invention.
1) naval vessel Integrated Optimal Design process
Naval vessel Integrated Optimal Design should meet warship fight capability, reliability, maintainability, testability, safety, protection
Carry out under the premise of the performance indicators such as environmental suitability.It is comprehensive based on top-down, bottom-up and synthesis-decomposition-
The system engineering thought of iterative cycles iteration proposes that design cycle (being detailed in Fig. 1) is as follows:
Step 1: from user demand, for ship design element, logically mapping relations, establish task respectively
Domain, functional domain, system domain, device Domain are based on the ownership principle of " one-to-many ", the incidence relation of each domain node are established, such as Fig. 2 institute
Show;
Step 2: using top-down mode, carry out granularity for the node of task domain, functional domain, system domain respectively
Subdivision, establishes the incidence relation of each subdivision unit, as shown in Figure 3;
Step 3: under the premise of ensuring system robustness and reliability, being based on the least redundancy design requirement, will be provided with
The polynary isomery functional unit of similar features or incidence relation carries out lightweight, Intensive Design and reconfigures, completes system
Reconstruct;
Step 4: being based on man-machine function allocation optimization principles, by using technologies such as automation, informationization and intelligences, adjust
The functional unit executing subject of whole system, and then complete flow of task reconstruction;
Step 5: based on carrier-borne resource consumption, economic cost, man-machine system efficiency and personnel reduction rate etc., establish naval vessel integrate it is excellent
Change multiobjective comprehensive decision model.Using bottom-up approach, is integrated for analysis result, complete task design scheme
Quantitatively evaluating and comparative analysis.If meeting the traction property index request of user demand, feasible program is formed, otherwise returns to step
Rapid 3, it iterates until meeting the requirements.
2) naval vessel task Integrated Optimal Design
(1) task level STRUCTURE DECOMPOSITION
Node subdivision is carried out for naval vessel task domain, is decomposed into several main tasks, and then main task is decomposed into detail
Thin task (see Fig. 4).
Granularity subdivision is carried out for the detailed task in naval vessel, task layer, event layers, behavior layer, movement layer can be divided into (see figure
5) etc..The definition of each layer and relationship description are as follows:
Task layer refers to complete a series of combined sequence of subtasks of target;
Event layers refer to the combined sequence that subtask module divides, and are not related to specific behavior, mutually indepedent between event;
Behavior layer is by the sequential combination of man-machine system manner, including monitoring, 4 types of management, decision and execution
Type.Wherein, monitoring activity, which refers to, is paid attention to, recognized and is confirmed for task execution environment and equipment feedback information;Management row
Comprehensive analysis, understanding or even prediction are carried out to collection information to refer to, and then realize the real-time control to task situation;Decision row
To refer on the basis of building monitoring and management provides information, comprehensive analysis judges and provides feasible action scheme;Execute row
Action scheme is implemented using defined operation sequence to refer to;
Movement layer refers to the sequential combination that operating personnel specifically acts.Wherein, process performing is decomposed into mobile class and operation
Class movement.Mobile class movement refers to change in location and stance adjustment of the operating personnel during task;Operation class movement refers to
Operational motion of the operating personnel to object.Monitoring, management and decision behavior are made of a series of cognitive activities of operating personnel.
(2) flow of task reconstruction and man-machine system evaluation
1. the flow of task based on man-machine function allocation is reproduced
Ship System is complicated man-machine system.According to people and machine in detectability, reaction time, information processing, control
The feature of ability, learning ability, reliability, fatigability and environment resistance processed etc. compares, it can be found that: people has feelings
Sense, consciousness and individual character, are suitable for undertaking system command and the formulation of program, supervision and management, design, creation, maintenance, troubleshooting
With the work such as cope with contingencies;Machine lacks originality and dynamic role, is suitable for undertaking heavy, dull, quick, regularity
By force, under adverse circumstances, high exponent arithmetic(al) and many and diverse operation.With reference to compare distribution, supremum distribution, it is pleasant distribution and elasticity distribution etc.
Principle obtains naval vessel task man-machine function allocation principle are as follows:
I task manipulation vital for operational exertion, implementing result are related to weapon and personal safety, it is necessary to have
Warship person participates in and control;
II according to fixed process, repeatability and many and diverse task by robotic automation system for being executed;
III is automatically controlled and manual control will have relative independentability, and task is prevented to be overlapped;
IV task distributes the limit of power and technology realizability that consider warship person.
By improving automation, informationization and the intelligent level of Ship Equipment, system is realized in the recombination based on factor of system
Unite it is benign emerge in large numbers, reach high efficiency rather than the simple superposition of function device.Optimized based on man-machine function allocation, adjusts the function of system
Energy unit executing subject, on the one hand can effectively reduce the execution workload of functional unit, and the task that promoted completes efficiency, reduces system
Manpower demand;On the other hand it will increase equipment development difficulty and economic cost, more stringent requirements are proposed to warship person's overall qualities.
By simplifying information transmission link and command and control relationship, reduction personnel battle station etc., flow of task reconstruction is completed.
2. man-machine system automates ranking
Task based access control behavior division methods are discovered, are understood and predictive situation sensor model, root with reference to what Endsley was proposed
According to the degree of participation and cooperation relation of warship person in naval vessel task and automated system, drawn for man-machine system automation grade
Point, as shown in table 1.
1 man-machine system of table automates grade classification
It is based on naval vessel task level STRUCTURE DECOMPOSITION, the man-machine system automation grade classification evaluation result of behavior layer is whole
It closes, is normalized, the correction factor as mission reliability.Due to the flow of task optimized based on man-machine function allocation
The workload of warship person will be effectively reduced in reconstruction, reduces error rate, therefore the bigger the coefficient the more excellent, for positive amendment.
3) naval vessel Integrated Optimal Design quantitatively evaluating
(1) Integrated Optimal Design evaluation index
The weapon platform that naval vessel is manipulated as multitask, function system is numerous and jumbled, and staffing is hundreds and thousands of, have both technology and
Social property, redundancy optimization and personnel reduction and enlargement are the core objectives of Integrated Optimal Design.From carrier-borne resource consumption, economic cost,
Man-machine system efficiency and personnel reduction rate etc. carry out the quantitatively evaluating of naval vessel Integrated Optimal Design.Wherein, carrier-borne resource consumption packet
Space, weight and energy consumption are included, index optimization is conducive to make rational planning for use and service clearance, optimization flow of task, control draining
Amount reduces fuel consumption and improves comprehensive performance;Economic cost includes equipment operation and buying expenses, structure and additional materials expense
With etc.;Man-machine system efficiency refers to the deadline according to flow of task, warship person's workload, and index optimization is presented as commander's control
Relationship processed is simplified, human factors analysis and operational security improve, to promote task work efficiency efficiency.Do not influencing or improving operation
Under the premise of efficiency, the warship person of required by task configure quantity it is fewer better, can effectively reduce the naval vessel full phase in longevity uses and ensures expense
With.Since staffing reduction will directly affect carrier-borne living resources consumption, personnel service and support cost cost, it is contemplated that refer to
Target independency principle individually calculates personnel reduction rate index.In conclusion naval vessel integrated optimization effect (Warship
Integration and Optimization Effect:WIOE) assessment indicator system is as shown in Figure 6.The calculating of indices
See Table 2 for details for method.Index value is smaller, and COMPREHENSIVE CALCULATING result is smaller, indicates that design scheme is more excellent.
2 naval vessel integrated optimization Indexes of Evaluation Effect of table calculates
The modified Cooper-Harper grade form of table 3
(2) multiple target of integrated optimization effect is comprehensive solves
1. determining the weight coefficient of integrated optimization Indexes of Evaluation Effect using AHP group decision-making algorithm.First according to judging square
Battle array is judged for the expert in group decision is counter, assigns expert itself weight;Then be calculated the weight of judgment matrix to
Amount and confidence level;It is finally merged for judgment matrix, determines index weights.The algorithm on the basis of analytic hierarchy process (AHP),
The opinion of comprehensive expert-group decision can effectively correct single human expert since itself preference influences bring subjective assessment deviation.
I is equipped with m experts, using 1~9 grade of proportion quotiety (being shown in Table 4), for the opposite of integrated optimization Indexes of Evaluation Effect
Importance is judged.Assuming that the judgment matrix of kth position expert is set as(k=1,2 ..., m), for judgement
Matrix carries out Mode of Level Simple Sequence and consistency check, modifies until meeting the requirements, i.e.,(whereinλmaxFor the Maximum characteristic root of judgment matrix, RI is average homogeneity index).Then have:
Order matrix AkTransformation matrixWherein(j=1,2 ... n);
Order matrix A againkExport matrixWherein(i=1,2 ... n);
It exports vector
II sets v (Ck) it with the generalized angle of v (C) is θk, from the inner product of vector
It enablesdkFor judgment matrix AkDeviation, dkIt is smaller, indicate kth position expert's
Judge that accuracy is higher.By rk=1-dkAs the evaluation index of expert judging level, and then obtain expert itself weight
III is setFor the weight vectors of k-th of judgment matrix.Similarly, judgment matrix Ai
And AjBetween the degree of consistency
In view of expert itself Weight, then judgment matrix AiAverage homogeneity degree tiIt is opposite with after normalization
The degree of consistencyAre as follows:(i=1,2 ... m)Wherein,Sentence for i-th
The confidence level of disconnected matrix.
IV uses the weighted mean method of each factor weight vector, completes the merging of m judgment matrix:
(i=1,2 ... n), then the weight of i-th of evaluation index
2. using the weighted sum method of every evaluation index, complete naval vessel task baseline schema, prioritization scheme integrate it is excellent
Change Contrast on effect analysis.
4 1~9 proportion quotiety system of table
It is illustrated by taking certain warship operation navigational duty as an example.Since the deployment of operation navigational duty, it is sequentially completed standby boat, opens
The subtasks such as dynamic warming-up, berthing manoeuver, low cruise, under full steam.Task design element logical mappings relationship such as Fig. 7 institute
Show.
System reconfiguration is carried out for operation navigational duty, respectively to reduce manipulation position, reallocate resources as target, development is pushed away
Into monitoring and control systematic integration optimization;To realize that long-distance intelligent control, raising automatic control level as target, carry out full warship
Combustion, lubricating oil transfer pipeline integrated optimization;To optimize allocation of resources, reduce energy consumption as target, carries out and promote auxiliary system collection
At optimization.The results are shown in Table 5 for baseline schema and prioritization scheme comparative analysis.
The system reconfiguration of 5 operation navigational duty of table is analyzed
In case carrying out flow of task reconstruction for boat subtask → cunning fuel oil is for just event → fuel oil allots behavior.Fuel oil
It allots and refers to before fuel oil supply, demand is fed according to fuel oil, the multiple fuel oil tanks for receiving supply are refuted into sky as far as possible.Baseline
Scheme uses manual control mode: after electromechanical departmental staff is connected to task order, being deployed to bay section soldier;Cabin soldier is from original position
The specific location of transfer pump for fuel or valve is reached by each cabin, carries out artificial judgment and decision, is opened, is closed depending on feelings
Delivery pump or valve, and according to the interaction of presence states information, report to a higher body status information.Prioritization scheme then uses remotely
Intelligent distant control allots mode: after electromechanical departmental staff is connected to order, according to the monitoring information of operation bench, as long as a key button can
To realize that full-range fuel oil is alloted.The results are shown in Table 6 for comparative analysis, and wherein task working efficiency promotes 96.7%, work
Load reduction 65.4%, movement number (i.e. information transmission link) simplify 90%, and mission reliability promotes 80%.
6 fuel oil of table allots the flow of task reconstruction analysis of behavior
4 Marine power plant master-plan experts are invited, are directed to operation navigational duty integrated optimization effect assessment respectively
The relative importance weights of index are judged.Such as the judgment matrix of carrier-borne resource consumption index are as follows:
Based on AHP group decision-making algorithm, itself weight that 4 experts are calculated is respectively as follows: ω1=0.2862, ω1=
0.2302, ω1=0.2290, ω1=0.2546.
The weight vectors of 4 judgment matrixs are respectively as follows:
v(W1)=[0.0814 0.0355 0.0814 0.0355 0.4480 0.2782]T
v(W2)=[0.0732 0.0277 0.0922 0.0348 0.4737 0.2984]T
v(W3)=[0.0818 0.0332 0.0947 0.0430 0.4877 0.2596]T
v(W4)=[0.0824 0.0386 0.0901 0.0331 0.4834 0.2724]T
The confidence level of 4 judgment matrixs is respectively as follows:
And then 4 experts are obtained to the evaluation result of 6 index weights of carrier-borne resource consumption are as follows:
v(W*)=[0.0800 0.0340 0.0886 0.0362 0.4842 0.2770]T
According to the above method, calculate separately to obtain the weight coefficient of operation navigational duty integrated optimization Indexes of Evaluation Effect,
As shown in table 7.
Indices value is finally calculated separately, such as: equipment purchase cost EPC=manufacturing cost+period expense+other
Expense+profit.Index value is normalized, the indices value of baseline schema is determined as dimensionless 1 (see Table 7 for details).
The integrated optimization effect of 7 naval vessel operation navigational duty of table calculates
Based on integrated optimization effect calculated result in staffing quantity in table 5 and table 7, it can be deduced that naval vessel operation boat
The Integrated Optimal Design scheme of row task is compared with baseline schema, staffing reduction 27.3%, integrated optimization effect promoting
15.1% (wherein, carrier-borne resource consumption reduction 13.4%, economic cost increases by 1.9%, man-machine system improved efficiency 35.2%).
It should be understood that for those of ordinary skills, it can be modified or changed according to the above description,
And all these modifications and variations should all belong to the protection domain of appended claims of the present invention.
Claims (3)
1. a kind of naval vessel Integrated Optimal Design method of task based access control driving, which comprises the following steps:
Step 1) is from user demand, and for ship design element, logically mapping relations, establish task domain, function respectively
Energy domain, system domain, device Domain carry out node subdivision for task domain, functional domain, system domain, device Domain, are then based on one-to-many
Ownership principle, establish the incidence relation of each domain node, multiple nodes in a node corresponding function domain of task domain, functional domain
A node correspondence system domain multiple nodes, a node of system domain corresponds to multiple nodes of device Domain;
Step 2) uses top-down mode, thin for the node progress granularity of task domain, functional domain, system domain respectively
Point, subdivision unit is obtained, the incidence relation of each subdivision unit is established;
Step 3) is based on the least redundancy design requirement, will be provided with similar under the premise of ensuring system robustness and reliability
The polynary isomery functional unit of feature or incidence relation carries out lightweight, Intensive Design and reconfigures, completes system weight
Structure;
Step 4) is based on man-machine function allocation optimization principles, by using automation, informationization and intellectualized technology, adjusts system
Functional unit executing subject, will be executed according to fixed process, repeatability and many and diverse operation task by robotic automation system,
And then complete flow of task reconstruction;
Step 5) is based on carrier-borne resource consumption, economic cost, man-machine system efficiency and personnel reduction rate, establishes the more mesh of naval vessel integrated optimization
Mark Comprehensive Model;Using bottom-up approach, integrated for analysis result, the quantization for completing task design scheme is commented
Valence and comparative analysis;If meeting the traction property index request of user demand, feasible program is formed, otherwise return step 3),
It iterates until meeting the requirements.
2. the naval vessel Integrated Optimal Design method of task based access control driving according to claim 1, which is characterized in that the needle
Granularity subdivision is carried out to the node of task domain, obtains subdivision unit, specific as follows:
Node subdivision is carried out for naval vessel task domain, is decomposed into several main tasks, and then main task is decomposed into and is appointed in detail
Business, each task in detail is a node;
Granularity subdivision is carried out for the detailed task in naval vessel, is divided into task layer, event layers, behavior layer, movement layer;The definition of each layer
And relationship description is as follows:
Task layer refers to complete a series of combined sequence of subtasks of target;
Event layers refer to the combined sequence that subtask module divides, and are not related to specific behavior, mutually indepedent between event;
Behavior layer is by the sequential combination of man-machine system manner, including monitoring, 4 seed types of management, decision and execution;Its
In, monitoring activity, which refers to, to be paid attention to, recognized and is confirmed for task execution environment and equipment feedback information;Administration behaviour refers to
Comprehensive analysis, understanding or even prediction are carried out to information is collected, and then realizes the real-time control to task situation;Decision behavior refers to
On the basis of building monitoring and management provides information, comprehensive analysis judges and provides feasible action scheme;Process performing refers to
Action scheme is implemented using defined operation sequence;
Movement layer refers to the sequential combination that operating personnel specifically acts, wherein process performing is decomposed into mobile class and operation class is dynamic
Make;Mobile class movement refers to change in location and stance adjustment of the operating personnel during task;Operation class movement refers to operation
Operational motion of the personnel to object.
3. the naval vessel Integrated Optimal Design method of task based access control driving according to claim 1, which is characterized in that the base
In carrier-borne resource consumption, economic cost, man-machine system efficiency and personnel reduction rate, the naval vessel integrated optimization multiobjective comprehensive decision of foundation
Model, specific as follows:
1) evaluation index is determined;
Level-one evaluation index: carrier-borne resource consumption, economic cost, man-machine system efficiency and personnel reduction rate;
Two-level appraisement index:
Carrier-borne resource consumption: including functional cabin volume, accommodation volume, functional facilities load, living facilities load, equipment
Energy consumption and life energy consumption;
Economic cost: including equipment operating cost, equipment purchase cost, structure and attached material expense;
Man-machine system efficiency: including task completion time, crewman's workload;
Personnel reduction rate: including personnel reduction rate;
2) weight coefficient of evaluation index is determined;
The weight coefficient of integrated optimization Indexes of Evaluation Effect is determined using AHP group decision-making algorithm.It is directed to first according to judgment matrix
Expert in group decision is counter to be judged, and expert itself weight is assigned;Then be calculated judgment matrix weight vectors and can
Reliability;It is finally merged for judgment matrix, determines index weights.
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CN111452998A (en) * | 2020-04-16 | 2020-07-28 | 北京控制工程研究所 | Water-based propulsion system optimal efficiency determination method based on multi-target optimization |
CN113435624A (en) * | 2021-05-25 | 2021-09-24 | 中国航空工业集团公司沈阳飞机设计研究所 | Man-machine function distribution method |
CN116362673A (en) * | 2023-03-01 | 2023-06-30 | 中国船舶集团有限公司第七一九研究所 | Ship equipment management method and system based on cloud computing |
Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2004118552A (en) * | 2002-09-26 | 2004-04-15 | Toshiba Corp | Method for supporting multipurpose decision making process and its program |
CN102103722A (en) * | 2011-03-18 | 2011-06-22 | 北京航空航天大学 | Warship reliability quantitative requirement demonstration method |
CN102136032A (en) * | 2011-03-16 | 2011-07-27 | 北京航空航天大学 | Process-based method for establishing equipment reliability maintenance safety (RMS) requirement model |
JP2012056609A (en) * | 2010-09-10 | 2012-03-22 | Toyo Seikan Kaisha Ltd | Metal container and method for manufacturing the same |
CN105574631A (en) * | 2014-10-14 | 2016-05-11 | 威海拓达高科船舶科技有限公司 | Manufacturing execution system aArchitecture design method for ship production |
CN105654240A (en) * | 2015-12-30 | 2016-06-08 | 江南大学 | Machine tool manufacturing system energy efficiency analysis method |
CN107798399A (en) * | 2017-11-15 | 2018-03-13 | 中国舰船研究设计中心 | The surface vessel totality Maintainability index distribution method of oriented mission |
CN108334859A (en) * | 2018-02-28 | 2018-07-27 | 上海海洋大学 | A kind of optical remote sensing Warships Model identification crowdsourcing system based on fine granularity feature |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9384053B2 (en) * | 2010-10-28 | 2016-07-05 | Nec Corporation | Task allocation optimization system, task allocation optimization method, and non-transitory computer readable medium storing task allocation optimization program |
-
2018
- 2018-09-04 CN CN201811026595.2A patent/CN109726886B/en active Active
Patent Citations (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2004118552A (en) * | 2002-09-26 | 2004-04-15 | Toshiba Corp | Method for supporting multipurpose decision making process and its program |
JP2012056609A (en) * | 2010-09-10 | 2012-03-22 | Toyo Seikan Kaisha Ltd | Metal container and method for manufacturing the same |
CN102136032A (en) * | 2011-03-16 | 2011-07-27 | 北京航空航天大学 | Process-based method for establishing equipment reliability maintenance safety (RMS) requirement model |
CN102103722A (en) * | 2011-03-18 | 2011-06-22 | 北京航空航天大学 | Warship reliability quantitative requirement demonstration method |
CN105574631A (en) * | 2014-10-14 | 2016-05-11 | 威海拓达高科船舶科技有限公司 | Manufacturing execution system aArchitecture design method for ship production |
CN105654240A (en) * | 2015-12-30 | 2016-06-08 | 江南大学 | Machine tool manufacturing system energy efficiency analysis method |
CN107798399A (en) * | 2017-11-15 | 2018-03-13 | 中国舰船研究设计中心 | The surface vessel totality Maintainability index distribution method of oriented mission |
CN108334859A (en) * | 2018-02-28 | 2018-07-27 | 上海海洋大学 | A kind of optical remote sensing Warships Model identification crowdsourcing system based on fine granularity feature |
Non-Patent Citations (8)
Title |
---|
刘晨等: "基于大型客机操作程序的人机功能分配研究", 《民用飞机设计与研究》 * |
刘晨等: "基于大型客机操作程序的人机功能分配研究", 《民用飞机设计与研究》, no. 3, 30 September 2013 (2013-09-30), pages 31 - 35 * |
张鹏等: "AHP群决策中的舰船动力系统综合评估指标权重的确定", 《船舶工程》 * |
张鹏等: "AHP群决策中的舰船动力系统综合评估指标权重的确定", 《船舶工程》, vol. 32, no. 2, 30 September 2010 (2010-09-30), pages 163 - 165 * |
李爽等: "水面舰船集成优化设计探讨", 《中国舰船研究》 * |
李爽等: "水面舰船集成优化设计探讨", 《中国舰船研究》, vol. 8, no. 2, 30 April 2013 (2013-04-30), pages 1 - 5 * |
王娜等: "美国水面舰艇缩减人员编制的技术与措施研究", 《舰船科学技术》 * |
王娜等: "美国水面舰艇缩减人员编制的技术与措施研究", 《舰船科学技术》, vol. 35, no. 1, 31 January 2013 (2013-01-31), pages 136 - 141 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111176935A (en) * | 2019-12-17 | 2020-05-19 | 宁波市轨道交通集团有限公司建设分公司 | Application-oriented service monitoring method of integrated monitoring system |
CN111452998A (en) * | 2020-04-16 | 2020-07-28 | 北京控制工程研究所 | Water-based propulsion system optimal efficiency determination method based on multi-target optimization |
CN113435624A (en) * | 2021-05-25 | 2021-09-24 | 中国航空工业集团公司沈阳飞机设计研究所 | Man-machine function distribution method |
CN116362673A (en) * | 2023-03-01 | 2023-06-30 | 中国船舶集团有限公司第七一九研究所 | Ship equipment management method and system based on cloud computing |
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