CN114022017A - Grading assessment method and grading assessment system for intelligent integration capability level of marine corollary equipment - Google Patents

Grading assessment method and grading assessment system for intelligent integration capability level of marine corollary equipment Download PDF

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CN114022017A
CN114022017A CN202111355052.7A CN202111355052A CN114022017A CN 114022017 A CN114022017 A CN 114022017A CN 202111355052 A CN202111355052 A CN 202111355052A CN 114022017 A CN114022017 A CN 114022017A
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刘杰
常兴山
汤敏
高嵩
白秀琴
董从林
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Wuhan University of Technology WUT
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Abstract

A grading assessment method for intelligent integration capability level of marine corollary equipment comprises the following steps: establishing grading evaluation criteria of intelligent integration capability level of marine corollary equipment; the evaluation criteria include: the intelligent integrated capability level grading evaluation reference dimension of the marine corollary equipment, the intelligent integrated capability level grading evaluation reference dimension grade of the marine corollary equipment and the intelligent integrated capability level grade table of the marine corollary equipment; and carrying out grading evaluation on the intelligent integration capability level of the marine corollary equipment according to the actual condition of the evaluated marine corollary equipment object and the grading evaluation criterion of the intelligent integration capability level of the marine corollary equipment. The invention also provides a grading evaluation system for the intelligent integration capability level of the marine corollary equipment.

Description

Grading assessment method and grading assessment system for intelligent integration capability level of marine corollary equipment
Technical Field
The invention relates to the technical field of intelligent ship engineering, in particular to a grading evaluation method and a grading evaluation system for intelligent integration capability level of marine corollary equipment.
Background
With the rapid development of science and technology and the continuous increase of the demand of people on ships, the ship industry develops towards the high-end, green, intelligent and other technical directions on the basis of digitalization. The marine corollary equipment is the core of the ship, the improvement of the ship quality and performance mainly depends on the support of the corollary equipment, and the integration of the marine corollary equipment and a system thereof is one of the key points of the development of the ship engineering. The existing research on marine corollary equipment mostly focuses on improving the intelligent capacity level of the marine corollary equipment, such as remote operation and maintenance, intelligent manufacturing and the like. However, a research aiming at a grading evaluation method for the intelligent integration capability level of the marine corollary equipment is lacked, the type selection work of the corollary equipment in the design and construction process of a ship cannot be guided, and the situation that the intelligent level of the corollary equipment is insufficient or excessive can be caused.
In order to provide a model selection working reference for intelligent ship corollary equipment, a grading evaluation method for the intelligent integration capability level of the ship corollary equipment to be constructed is urgently needed. By grading the intelligent integration capability level of the marine corollary equipment, the design work evaluation of the marine corollary equipment and the model selection work guidance of the corollary equipment can be realized, and the development of an intelligent ship is promoted.
Disclosure of Invention
In view of the above, the invention provides a grading evaluation method and system for intelligent integration capability level of marine corollary equipment.
A grading assessment method for intelligent integration capability level of marine corollary equipment comprises the following steps:
establishing grading evaluation criteria of intelligent integration capability level of marine corollary equipment; the evaluation criteria include: the intelligent integrated capability level grading evaluation reference dimension of the marine corollary equipment, the intelligent integrated capability level grading evaluation reference dimension grade of the marine corollary equipment and the intelligent integrated capability level grade table of the marine corollary equipment;
and carrying out grading evaluation on the intelligent integration capability level of the marine corollary equipment according to the actual condition of the evaluated marine corollary equipment object and the grading evaluation criterion of the intelligent integration capability level of the marine corollary equipment.
In the grading evaluation method for the intelligent integration capability level of the marine corollary equipment,
establishing grading evaluation criteria of intelligent integration capability level of marine corollary equipment; the grading evaluation of the intelligent integration capability level of the marine corollary equipment according to the actual condition of the evaluated marine corollary equipment object and the grading evaluation criterion of the intelligent integration capability level of the marine corollary equipment comprises the following steps:
step one, setting a grading evaluation reference dimension of the intelligent integration capability level of the marine corollary equipment;
secondly, dividing the intelligent integration capability level of the marine corollary equipment to evaluate the reference dimension level in a grading manner;
thirdly, establishing an intelligent integration capability level grade table of the marine corollary equipment;
fourthly, grading and evaluating a reference dimension according to the intelligent integrated capability level of the marine corollary equipment, grading and evaluating the reference dimension level according to the intelligent integrated capability level of the marine corollary equipment, and performing the dimension score statistics of the marine corollary equipment object by referring to the evaluation criterion according to the actual condition of the evaluated marine corollary equipment object;
fifthly, according to the statistics of the scores of all dimensions of the evaluated marine corollary equipment object, looking up a marine corollary equipment intelligent integration capability level grade table to obtain the intelligent integration capability level grade of the evaluated marine corollary equipment object;
and sixthly, giving a scene adaptation reference opinion of the marine corollary equipment according to the intelligent integration capability level grade of the evaluated marine corollary equipment object.
In the grading evaluation method for the intelligent integration capability level of the marine corollary equipment,
the set marine corollary equipment intelligent integration capability level grading evaluation reference dimension comprises the following steps: according to the working field of the marine corollary equipment, the system range of the marine corollary equipment and evaluation dimension requirements provided for grading evaluation of the intelligent integration capability level of the corollary equipment, and the two items, the grading evaluation dimension of the intelligent integration capability level of the marine corollary equipment is set;
the working field of the corollary equipment comprises: marine propulsion systems and power systems, marine deck machinery and mooring equipment, marine outfitting and hardware, marine auxiliary machinery, marine life saving and fire fighting equipment;
the system range of the marine corollary equipment comprises: the matched equipment forms a component, matched equipment, a ship subsystem and a ship overall system;
the hierarchical evaluation dimension of marine corollary equipment intelligent integration ability level includes: the method comprises the following steps of requirement mapping, data acquisition, data analysis, decision making and execution, wherein the five dimensions are as follows:
the requirement mapping is that the function requirement of the ship corollary equipment operator, which is manually executed, is converted into an instruction which can be understood and executed by the ship corollary equipment;
the data acquisition is a process of acquiring original input data required by intelligent application of marine corollary equipment;
the data analysis is carried out, namely, the data analysis is carried out based on the collected data; on one hand, the current running environment and the service state of the marine corollary equipment are combined; on the other hand, a knowledge mining intelligent means based on historical data predicts the future change trend; on the basis, a decision basis of the intelligent application function of the marine corollary equipment is provided;
the decision, namely the process of executing the corresponding functional behavior by the marine corollary equipment according to the decision basis obtained by reasoning based on the analysis process;
the execution is the process of the marine companion device responding to the functional behavior determined based on the decision-making process.
In the method for grading and evaluating the intelligent integration capability level of the marine corollary equipment, the step of grading and evaluating the intelligent integration capability level of the marine corollary equipment according to the reference dimension level comprises the following steps:
grading evaluation indexes of all dimensions in the dimension according to the intelligent integrated capability level grading evaluation of the marine corollary equipment, wherein the evaluation index content of each dimension is as follows: the method comprises the steps of requiring the manual intervention degree of the mapping dimension, the data acquisition coverage rate of the data acquisition dimension, the data analysis accuracy of the data analysis dimension, the decision-making autonomous degree of the decision dimension and the execution reliability of the execution dimension.
In the grading evaluation method for the intelligent integration capability level of the marine corollary equipment,
the method for formulating the grading evaluation criterion of the intelligent integration capability level of the marine corollary equipment is to establish the grading evaluation criterion of the intelligent integration capability level of the marine corollary equipment based on algorithms such as machine learning and the like, and comprises the following steps of:
step 1: acquiring the data of corollary equipment used in ships with different intelligent levels, and preprocessing the data;
step 2: manually labeling the obtained preprocessed data, wherein the labeled content is each dimension score of the intelligent integrated capability level grading evaluation dimension of the marine corollary equipment, the labeled data set is used as training data, and the score of each dimension is divided as follows:
demand mapping, wherein the score is 0-3, the [0-1] is A level, (1-2) is B level, and (2-3) is C level;
data acquisition, wherein the score is 0-3, the [0-1] is grade A, (1-2) is grade B, and (2-3) is grade C;
data analysis, the score is 0-4, the [0-1] is A grade, (1-2) is B grade, (2-3) is C grade, and (3-4) is C grade;
making a decision, wherein the score is 0-3, the [0-1] is the grade A, (1-2) is the grade B, and (2-3) is the grade C;
executing, wherein the scores are 0-4, the [0-1] is grade A, (1-2) is grade B, (2-3) is grade C, and (3-4) is grade D;
step 3: establishing a grading evaluation index L of the intelligent integration capability level of the matched equipment according to the training data obtained in Step2,
L＝a1*L1+a2*L2+a3*L3+a4*L4+a5*L5
wherein:
a1+a2+a3+a4+a5＝1，0≤a1,a2,a3,a4,a5≤1
L1-L5evaluating index functions of all dimensions of the dimension for intelligent integrated capability level grading evaluation of marine corollary equipment;
L1＝aL1*Com+bL1*Per1
L2＝aL2*Com+bL2*Per2
L3＝aL3*DataApp+bL3*Per3
L4＝aL4*Comp+bL4*Per4
L5＝aL5*IfCon+bL5*Rei+cL5*TimAc
L＝a1*(aL1*Com+bL1*Per1)+a2*(aL2*Com+bL2*Per2)+
a3*(aL3*DataApp+bL3*Per3)+a4*(aL4*Comp+bL4*Per4)+
a5*(aL5*IfCon+bL5*Rei+cL5*TimAc)
taking the standard data set as a reference target; utilizing group intelligent optimization algorithm to carry out optimization on each parameter a in indexes1,a2,a3,a4,a5,aL1,bL1,aL2,bL2,aL3,bL3,aL4,bL4,aL5,bL5,cL5Optimization was performed while normalizing L to [0,16 ]]To (c) to (d); obtaining the optimal value of each parameter and determining an index L;
obtaining the intelligent integration capability level grading of the marine corollary equipment according to the score of the optimized index L, wherein the value of L is 0-10, and [0-2] is the grade of L1, (2-4] is the grade of L2, (4-6] is the grade of L3, (6-8) is the grade of L4, (8-10) is the grade of L5, (10-12) is the grade of L6, (12-14) is the grade of L7, and (14-16) is the grade of L8;
step 4: on the basis of corollary equipment data used in ships with different intelligent levels, marking the corollary equipment data by using the optimized index L, and constructing a grading evaluation data set DS of the intelligent integration capability level of the marine corollary equipment by using the marine corollary equipment as an object and using the intelligent integration capability level of the marine corollary equipment as a characteristic, wherein the grading evaluation data set DS is used for machine learning;
step 5: carrying out classification learning by using a data set DS and a multi-class classification technology to obtain a classification evaluation criterion with the classification precision of more than or equal to 90%; the classification evaluation criterion can be used for carrying out classification evaluation on the intelligent integration capability level of the marine corollary equipment.
In the grading evaluation method for the intelligent integration capability level of the marine corollary equipment,
in Step2, the basis for manually labeling the obtained data at least includes expert experience, classification society regulations and academic literature.
In the grading evaluation method for the intelligent integration capability level of the marine corollary equipment,
in each dimension evaluation index function of the intelligent integrated capability level grading evaluation dimension of the marine corollary equipment,
demand mapping dimension L1That is, according to the human intervention degree, the requirement mapping dimension is divided into three levels, including: the whole process is participated, the auxiliary execution is carried out, and the participation is not needed, and the corresponding scores of three levels are recorded as: A. b, C, respectively;
the evaluation method of the dimension comprises the following steps: l is1＝aL1*Com+bL1*Per1
Wherein: l is1Grading for grade;
com represents the percentage of the functions realized by the marine corollary equipment controlled by the computer instruction to the total functions realized by the marine corollary equipment;
per1 represents the percentage of the functions that must be performed by manually operating the marine kit to the full functionality that can be performed by the marine kit;
0≤aL1,bL11 or less, and aL1+bL1＝1；
When L is1C, the ship corollary equipment understands and executes the instruction without participation, and staff are not required to participate in operating the ship corollary equipment;
when L is1B, namely performing auxiliary execution, wherein the ship corollary equipment can understand and execute part of instructions, and a part of workers are required to participate in operating the ship corollary equipment to complete corresponding functional requirements;
when L is1When the ship corollary equipment cannot understand and execute instructions, the personnel are required to operate the ship corollary equipment to complete corresponding functional requirements
Data acquisition dimension L2That is, according to the data acquisition coverage, the data acquisition dimension is divided into three levels, including: the matched equipment does not have a data interface, the data cannot completely represent the equipment state characteristics, the data more completely represents the equipment state characteristics, and the corresponding scores of three levels are recorded as: A. b, C, respectively;
all the parameter acquisition methods required for describing the state of the marine corollary equipment are divided into the steps of reading by a worker machine and exporting by a data interface, and the evaluation method of the data acquisition dimension grade comprises the following steps: l is2＝aL2*Com+bL2*Per2
Wherein: l is2Grading for grade;
intf represents the percentage of the state parameters of the marine corollary equipment obtained by exporting the state parameters of the marine corollary equipment by the data interface to all parameters required for describing the state of the marine corollary equipment;
per represents the percentage of the state parameters of the marine corollary equipment which are read by a worker at the machine side to all the parameters required for describing the state of the marine corollary equipment;
0≤aL2,bL21 or less, and aL2+bL2＝1；
When L is2C, namely the data completely represents the equipment state characteristics, at the moment, the marine corollary equipment is provided with an output interface of the equipment state data, the data can be output to an acquisition system through a corresponding acquisition device, and the acquired data can describe the running state of the corollary equipment;
when L is2B, namely the data cannot completely represent the equipment state characteristics, at the moment, the marine corollary equipment has an output interface of the equipment state data, the data can be output to an acquisition system through a corresponding acquisition device, and the acquired data cannot completely describe the running state of the corollary equipment;
when L is2If the equipment does not have the data interface, the ship equipment has the local display function of the equipment state data and does not have the data output interface;
data analysis dimension L3That is, the data analysis dimension is divided into four levels according to the data analysis accuracy, including: only equipment state backtracking is supported, the current equipment state is correctly evaluated, the intelligent ship integration requirement is met by simple function equipment state prediction, the intelligent ship integration requirement is met by complex function equipment state prediction, and the corresponding four-level scores are recorded as: A. b, C, D, respectively;
all the parameter acquisition methods required for describing the state of the marine corollary equipment are divided into the steps of reading by a worker machine and exporting by a data interface, and the evaluation method of the data acquisition dimension grade comprises the following steps: l is3＝aL3*DataApp+bL3*Per3
Wherein: l is3Grading for grade;
the DataApp represents the data analysis application capability of the marine corollary equipment, and comprises state backtracking, state description and state prediction;
per3 represents the accuracy of data analysis of the marine corollary equipment;
0≤aL3,bL31 or less, and aL3+bL3＝1；
When L is3A, only equipment state backtracking is supported, namely, the collected data is only subjected to basic analysis and storage, and the historical operation state of the equipment can be known by inquiring a database;
when L is3B, correctly evaluating the current equipment state, namely adopting a related data analysis algorithm for the acquired data, wherein the current operation state of the equipment can be correctly evaluated, but the equipment state cannot be predicted and analyzed;
when L is3C, i.e. simple function setThe state prediction meets the integration requirement of the intelligent ship, namely, the state prediction of the ship corollary equipment with single function can be realized by adopting a relevant data analysis algorithm on the acquired data, and the prediction accuracy meets the integration requirement of the intelligent ship;
when L is3D, the state prediction of the complex function equipment meets the integration requirement of the intelligent ship, namely, a related data analysis algorithm is adopted for the collected data, the state prediction of the ship corollary equipment with more than two functions can be realized, and the prediction accuracy meets the integration requirement of the intelligent ship;
decision dimension L4That is, according to the degree of decision autonomy, the degree dimension is divided into three levels, including: manual decision, man-machine hybrid decision, and device autonomous decision, and the corresponding scores of three levels are recorded as: A. b, C, respectively;
the decision-making behavior of the marine corollary equipment consists of two factors, namely manpower and computer, and the evaluation method of the decision-making dimension grade comprises the following steps:
L4＝aL4*Comp+bL4*Per4
wherein: l is4Grading for grade;
comp represents the percentage of the scene of decision made by the computer system of the marine corollary equipment in all decision-making scenes of the marine corollary equipment, and the decision-making scenes are calculated according to the decision-making times;
per4 represents the percentage of the scenes which must be decided manually in all decision scenes of the marine corollary equipment, and the decision scenes are calculated according to the decision times;
0≤aL4,bL41 or less, and aL4+bL4＝1；
When L is4C, the equipment autonomously decides, and at the moment, the marine corollary equipment can autonomously decide to meet the business requirements of the intelligent ship based on the knowledge obtained by data analysis;
when L is4B, man-machine hybrid decision, in which the function execution of the marine kit is performed by a mixture of man and computer, and the kit can deal with the events of similar existing solutions autonomously, and with super-resolutionAn event within the decision capability range of the matched equipment needs to be manually participated;
when L is4When the function execution of the marine corollary equipment needs to be manually decided, the business requirement is completed through manual operation;
execution dimension L5That is, according to the degree of decision autonomy, the degree dimension is divided into four levels, including: the remote control cannot be realized; remote control is supported but the degree of reliability is not high; support remote control with low time response requirements; remote control reliability and time response meet the integration requirements of the intelligent ship; the corresponding four tier scores are noted: A. b, C, D, respectively;
the execution reliability grade of the execution dimension of the marine corollary equipment consists of three judgment indexes, namely whether the corresponding factors of the remote control function, the remote control reliability and the remote control time are available, and the grade evaluation method comprises the following steps:
L5＝aL5*IfCon+bL5*Rei+cL5*TimAc
wherein: l is5Grading for grade;
IfCon represents whether the marine corollary equipment has a remote control function, the value of IfCon is 0 or 1, 0 represents that the marine corollary equipment has the remote control function, and 1 represents that the marine corollary equipment has the remote control function;
rei represents the reliability level of the remote control of the marine corollary equipment, the value solving mode is that the number of times that the marine corollary equipment correctly executes the remote control command accounts for the total number of times that the marine corollary equipment receives the remote control command, the value range is 0-Rei-1,
the TimAc represents the time response level of the remote control of the marine corollary equipment, and the TimAc value determination method comprises the following steps: firstly, when the remote control time response MyTimAC of the currently evaluated marine corollary equipment is less than or equal to the remote control time response CCSTImAC of the marine corollary equipment required by China classification society for intelligent ships, namely when MyTimAC is less than or equal to CCSTImAC, the MymAC is 1; secondly, when the remote control time response of the currently evaluated marine corollary equipment is larger than that of the Chinese classification society for the marine corollary equipment required by the intelligent ship, namely when MyTimAC is larger than or equal to CCSTIMAAc, the TimaC is {1+ [ (MyTimAC-CCSTIMAAc)/CCSTIMAAc ] } 100%;
0≤aL4,bL4,cL51 or less, and aL4+bL4+cL5＝1；
When L is5When the ship is in a state of A, remote control cannot be achieved, and at the moment, the ship corollary equipment does not support the remote control and cannot be intelligently managed and controlled;
when L is5B, namely supporting remote control but having low reliability, in which the marine corollary equipment can be remotely controlled but having low reliability, and no response or response delay exists;
when L is5C, the remote control with low response time requirement is supported, the marine corollary equipment supports the remote control at the moment, and the integration requirement of the intelligent ship is met for the service scene with low response time requirement;
when L is5D, remote control reliability and time response satisfy the integrated demand of intelligent boats and ships promptly, and marine corollary equipment supports remote control this moment, and remote control reliability and time response satisfy the integrated demand of intelligent boats and ships.
In the grading evaluation method for the intelligent integration capability level of the marine corollary equipment,
marine corollary equipment adaptation scene includes eight levels, corresponds eight levels of marine corollary equipment intelligence integrated capability level respectively, promptly: no intelligent integration capability is provided; the system has the capabilities of scene perception and state recording; the learning ability is provided preliminarily; the device has learning ability but cannot be self-adaptive; the system basically has decision-making capability and basic autonomous task execution capability; the system has behavior decision capability and basic autonomous task execution capability; the integration requirement of the intelligent ship is met, but the unmanned ability is not realized; the unmanned level requirement of the intelligent ship is met.
The invention also provides a grading evaluation system for the intelligent integration capability level of the marine corollary equipment, which is realized by the grading evaluation method for the intelligent integration capability level of the marine corollary equipment.
The beneficial technical effects are as follows: compared with the prior art, the intelligent integrated capability level grading evaluation method and system for the marine corollary equipment can realize the following steps: 1. carrying out grading evaluation work on the intelligent integration capability level of the marine corollary equipment; 2. providing an intelligent ship corollary equipment model selection working reference; 3. and working references of research, development, design, production, manufacture and service management of the marine corollary equipment are provided. The method and the system for grading and evaluating the intelligent integration capability level of the marine corollary equipment provide a standard making basis for the development of the marine corollary system and equipment to the direction of integration, greening and intellectualization.
Drawings
Fig. 1 is a flowchart of a hierarchical evaluation method for intelligent integration capability level of marine corollary equipment according to an embodiment of the present invention.
Fig. 2 is a schematic diagram of a method for setting a reference dimension for hierarchical evaluation of intelligent integration capability levels of marine corollary equipment according to an embodiment of the present invention.
Fig. 3 is a schematic diagram of grading evaluation reference dimension levels for intelligent integration capability levels of the marine corollary equipment partitioning provided by the implementation of the invention.
Detailed Description
A grading assessment method for intelligent integration capability level of marine corollary equipment comprises the following steps:
establishing grading evaluation criteria of intelligent integration capability level of marine corollary equipment; the evaluation criteria include: the intelligent integrated capability level grading evaluation reference dimension of the marine corollary equipment, the intelligent integrated capability level grading evaluation reference dimension grade of the marine corollary equipment and the intelligent integrated capability level grade table of the marine corollary equipment;
and carrying out grading evaluation on the intelligent integration capability level of the marine corollary equipment according to the actual condition of the evaluated marine corollary equipment object and the grading evaluation criterion of the intelligent integration capability level of the marine corollary equipment.
In the grading evaluation method for the intelligent integration capability level of the marine corollary equipment,
establishing grading evaluation criteria of intelligent integration capability level of marine corollary equipment; the grading evaluation of the intelligent integration capability level of the marine corollary equipment according to the actual condition of the evaluated marine corollary equipment object and the grading evaluation criterion of the intelligent integration capability level of the marine corollary equipment comprises the following steps:
step one, setting a grading evaluation reference dimension of the intelligent integration capability level of the marine corollary equipment;
secondly, dividing the intelligent integration capability level of the marine corollary equipment to evaluate the reference dimension level in a grading manner;
thirdly, establishing an intelligent integration capability level grade table of the marine corollary equipment;
fourthly, grading and evaluating a reference dimension according to the intelligent integrated capability level of the marine corollary equipment, grading and evaluating the reference dimension level according to the intelligent integrated capability level of the marine corollary equipment, and performing the dimension score statistics of the marine corollary equipment object by referring to the evaluation criterion according to the actual condition of the evaluated marine corollary equipment object;
fifthly, according to the statistics of the scores of all dimensions of the evaluated marine corollary equipment object, looking up a marine corollary equipment intelligent integration capability level grade table to obtain the intelligent integration capability level grade of the evaluated marine corollary equipment object;
and sixthly, giving a scene adaptation reference opinion of the marine corollary equipment according to the intelligent integration capability level grade of the evaluated marine corollary equipment object.
In the grading evaluation method for the intelligent integration capability level of the marine corollary equipment,
the set marine corollary equipment intelligent integration capability level grading evaluation reference dimension comprises the following steps: according to the working field of the marine corollary equipment, the system range of the marine corollary equipment and evaluation dimension requirements provided for grading evaluation of the intelligent integration capability level of the corollary equipment, and the two items, the grading evaluation dimension of the intelligent integration capability level of the marine corollary equipment is set;
the working field of the corollary equipment comprises: marine propulsion systems and power systems, marine deck machinery and mooring equipment, marine outfitting and hardware, marine auxiliary machinery, marine life saving and fire fighting equipment;
the system range of the marine corollary equipment comprises: the matched equipment forms a component, matched equipment, a ship subsystem and a ship overall system;
the hierarchical evaluation dimension of marine corollary equipment intelligent integration ability level includes: the method comprises the following steps of requirement mapping, data acquisition, data analysis, decision making and execution, wherein the five dimensions are as follows:
the requirement mapping is that the function requirement of the ship corollary equipment operator, which is manually executed, is converted into an instruction which can be understood and executed by the ship corollary equipment;
the data acquisition is a process of acquiring original input data required by intelligent application of marine corollary equipment;
the data analysis is carried out, namely, the data analysis is carried out based on the collected data; on one hand, the current running environment and the service state of the marine corollary equipment are combined; on the other hand, a knowledge mining intelligent means based on historical data predicts the future change trend; on the basis, a decision basis of the intelligent application function of the marine corollary equipment is provided;
the decision, namely the process of executing the corresponding functional behavior by the marine corollary equipment according to the decision basis obtained by reasoning based on the analysis process;
the execution is the process of the marine companion device responding to the functional behavior determined based on the decision-making process.
In the method for grading and evaluating the intelligent integration capability level of the marine corollary equipment, the step of grading and evaluating the intelligent integration capability level of the marine corollary equipment according to the reference dimension level comprises the following steps:
grading evaluation indexes of all dimensions in the dimension according to the intelligent integrated capability level grading evaluation of the marine corollary equipment, wherein the evaluation index content of each dimension is as follows: the method comprises the steps of requiring the manual intervention degree of the mapping dimension, the data acquisition coverage rate of the data acquisition dimension, the data analysis accuracy of the data analysis dimension, the decision-making autonomous degree of the decision dimension and the execution reliability of the execution dimension.
In the grading evaluation method for the intelligent integration capability level of the marine corollary equipment,
the method for formulating the grading evaluation criterion of the intelligent integration capability level of the marine corollary equipment is to establish the grading evaluation criterion of the intelligent integration capability level of the marine corollary equipment based on algorithms such as machine learning and the like, and comprises the following steps of:
step 1: acquiring the data of corollary equipment used in ships with different intelligent levels, and preprocessing the data;
step 2: manually labeling the obtained preprocessed data, wherein the labeled content is each dimension score of the intelligent integrated capability level grading evaluation dimension of the marine corollary equipment, the labeled data set is used as training data, and the score of each dimension is divided as follows:
demand mapping, wherein the score is 0-3, the [0-1] is A level, (1-2) is B level, and (2-3) is C level;
data acquisition, wherein the score is 0-3, the [0-1] is grade A, (1-2) is grade B, and (2-3) is grade C;
data analysis, the score is 0-4, the [0-1] is A grade, (1-2) is B grade, (2-3) is C grade, and (3-4) is C grade;
making a decision, wherein the score is 0-3, the [0-1] is the grade A, (1-2) is the grade B, and (2-3) is the grade C;
executing, wherein the scores are 0-4, the [0-1] is grade A, (1-2) is grade B, (2-3) is grade C, and (3-4) is grade D;
step 3: establishing a grading evaluation index L of the intelligent integration capability level of the matched equipment according to the training data obtained in Step2,
L＝a1*L1+a2*L2+a3*L3+a4*L4+a5*L5
wherein:
a1+a2+a3+a4+a5＝1，0≤a1,a2,a3,a4,a5≤1
L1-L5evaluating index functions of all dimensions of the dimension for intelligent integrated capability level grading evaluation of marine corollary equipment;
L1＝aL1*Com+bL1*Per1
L2＝aL2*Com+bL2*Per2
L3＝aL3*DataApp+bL3*Per3
L4＝aL4*Comp+bL4*Per4
L5＝aL5*IfCon+bL5*Rei+cL5*TimAc
L＝a1*(aL1*Com+bL1*Per1)+a2*(aL2*Com+bL2*Per2)+
a3*(aL3*DataApp+bL3*Per3)+a4*(aL4*Comp+bL4*Per4)+
a5*(aL5*IfCon+bL5*Rei+cL5*TimAc)
taking the standard data set as a reference target; utilizing group intelligent optimization algorithm to carry out optimization on each parameter a in indexes1,a2,a3,a4,a5,aL1,bL1,aL2,bL2,aL3,bL3,aL4,bL4,aL5,bL5,cL5Optimization was performed while normalizing L to [0,16 ]]To (c) to (d); obtaining the optimal value of each parameter and determining an index L;
obtaining the intelligent integration capability level grading of the marine corollary equipment according to the score of the optimized index L, wherein the value of L is 0-10, and [0-2] is the grade of L1, (2-4] is the grade of L2, (4-6] is the grade of L3, (6-8) is the grade of L4, (8-10) is the grade of L5, (10-12) is the grade of L6, (12-14) is the grade of L7, and (14-16) is the grade of L8;
step 4: on the basis of corollary equipment data used in ships with different intelligent levels, marking the corollary equipment data by using the optimized index L, and constructing a grading evaluation data set DS of the intelligent integration capability level of the marine corollary equipment by using the marine corollary equipment as an object and using the intelligent integration capability level of the marine corollary equipment as a characteristic, wherein the grading evaluation data set DS is used for machine learning;
step 5: carrying out classification learning by using a data set DS and a multi-class classification technology to obtain a classification evaluation criterion with the classification precision of more than or equal to 90%; the classification evaluation criterion can be used for carrying out classification evaluation on the intelligent integration capability level of the marine corollary equipment.
In the grading evaluation method for the intelligent integration capability level of the marine corollary equipment,
in Step2, the basis for manually labeling the obtained data at least includes expert experience, classification society regulations and academic literature.
In the grading evaluation method for the intelligent integration capability level of the marine corollary equipment,
in each dimension evaluation index function of the intelligent integrated capability level grading evaluation dimension of the marine corollary equipment,
demand mapping dimension L1That is, according to the human intervention degree, the requirement mapping dimension is divided into three levels, including: the whole process is participated, the auxiliary execution is carried out, and the participation is not needed, and the corresponding scores of three levels are recorded as: A. b, C, respectively;
the evaluation method of the dimension comprises the following steps: l is1＝aL1*Com+bL1*Per1
Wherein: l is1Grading for grade;
com represents the percentage of the functions realized by the marine corollary equipment controlled by the computer instruction to the total functions realized by the marine corollary equipment;
per1 represents the percentage of the functions that must be performed by manually operating the marine kit to the full functionality that can be performed by the marine kit;
0≤aL1,bL11 or less, and aL1+bL1＝1；
When L is1C, the ship corollary equipment understands and executes the instruction without participation, and staff are not required to participate in operating the ship corollary equipment;
when L is1B, namely performing auxiliary execution, wherein the ship corollary equipment can understand and execute part of instructions, and a part of workers are required to participate in operating the ship corollary equipment to complete corresponding functional requirements;
when L is1When the ship corollary equipment cannot understand and execute instructions, the personnel is required to operate the ship corollary equipment to finish the corresponding operationFunctional requirements of
Data acquisition dimension L2That is, according to the data acquisition coverage, the data acquisition dimension is divided into three levels, including: the matched equipment does not have a data interface, the data cannot completely represent the equipment state characteristics, the data more completely represents the equipment state characteristics, and the corresponding scores of three levels are recorded as: A. b, C, respectively;
all the parameter acquisition methods required for describing the state of the marine corollary equipment are divided into the steps of reading by a worker machine and exporting by a data interface, and the evaluation method of the data acquisition dimension grade comprises the following steps: l is2＝aL2*Com+bL2*Per2
Wherein: l is2Grading for grade;
intf represents the percentage of the state parameters of the marine corollary equipment obtained by exporting the state parameters of the marine corollary equipment by the data interface to all parameters required for describing the state of the marine corollary equipment;
per represents the percentage of the state parameters of the marine corollary equipment which are read by a worker at the machine side to all the parameters required for describing the state of the marine corollary equipment;
0≤aL2,bL21 or less, and aL2+bL2＝1；
When L is2C, namely the data completely represents the equipment state characteristics, at the moment, the marine corollary equipment is provided with an output interface of the equipment state data, the data can be output to an acquisition system through a corresponding acquisition device, and the acquired data can describe the running state of the corollary equipment;
when L is2B, namely the data cannot completely represent the equipment state characteristics, at the moment, the marine corollary equipment has an output interface of the equipment state data, the data can be output to an acquisition system through a corresponding acquisition device, and the acquired data cannot completely describe the running state of the corollary equipment;
when L is2If the equipment does not have the data interface, the ship equipment has the local display function of the equipment state data and does not have the data output interface;
data analysis dimension L3I.e. number according to data analysis accuracyThe analysis dimension is divided into four levels, including: only equipment state backtracking is supported, the current equipment state is correctly evaluated, the intelligent ship integration requirement is met by simple function equipment state prediction, the intelligent ship integration requirement is met by complex function equipment state prediction, and the corresponding four-level scores are recorded as: A. b, C, D, respectively;
all the parameter acquisition methods required for describing the state of the marine corollary equipment are divided into the steps of reading by a worker machine and exporting by a data interface, and the evaluation method of the data acquisition dimension grade comprises the following steps: l is3＝aL3*DataApp+bL3*Per3
Wherein: l is3Grading for grade;
the DataApp represents the data analysis application capability of the marine corollary equipment, and comprises state backtracking, state description and state prediction;
per3 represents the accuracy of data analysis of the marine corollary equipment;
0≤aL3,bL31 or less, and aL3+bL3＝1；
When L is3A, only equipment state backtracking is supported, namely, the collected data is only subjected to basic analysis and storage, and the historical operation state of the equipment can be known by inquiring a database;
when L is3B, correctly evaluating the current equipment state, namely adopting a related data analysis algorithm for the acquired data, wherein the current operation state of the equipment can be correctly evaluated, but the equipment state cannot be predicted and analyzed;
when L is3The state of the simple function equipment is predicted to meet the integration requirement of the intelligent ship, namely, the state of the ship corollary equipment with single function can be predicted by adopting a relevant data analysis algorithm on the acquired data, and the prediction accuracy meets the integration requirement of the intelligent ship;
when L is3D, the state prediction of the complex function equipment meets the integration requirement of the intelligent ship, namely, a related data analysis algorithm is adopted for the collected data, the state prediction of the ship corollary equipment with more than two functions can be realized, and the prediction accuracy meets the integration requirement of the intelligent ship;
decision dimension L4That is, according to the degree of decision autonomy, the degree dimension is divided into three levels, including: manual decision, man-machine hybrid decision, and device autonomous decision, and the corresponding scores of three levels are recorded as: A. b, C, respectively;
the decision-making behavior of the marine corollary equipment consists of two factors, namely manpower and computer, and the evaluation method of the decision-making dimension grade comprises the following steps:
L4＝aL4*Comp+bL4*Per4
wherein: l is4Grading for grade;
comp represents the percentage of the scene of decision made by the computer system of the marine corollary equipment in all decision-making scenes of the marine corollary equipment, and the decision-making scenes are calculated according to the decision-making times;
per4 represents the percentage of the scenes which must be decided manually in all decision scenes of the marine corollary equipment, and the decision scenes are calculated according to the decision times;
0≤aL4,bL41 or less, and aL4+bL4＝1；
When L is4C, the equipment autonomously decides, and at the moment, the marine corollary equipment can autonomously decide to meet the business requirements of the intelligent ship based on the knowledge obtained by data analysis;
when L is4B, namely man-machine hybrid decision, wherein the function execution of the marine corollary equipment is performed by mixing a man power and a computer, the corollary equipment can autonomously cope with the event of the existing similar solution, and the manual participation is required for the event beyond the decision capability range of the corollary equipment;
when L is4When the function execution of the marine corollary equipment needs to be manually decided, the business requirement is completed through manual operation;
execution dimension L5That is, according to the degree of decision autonomy, the degree dimension is divided into four levels, including: the remote control cannot be realized; remote control is supported but the degree of reliability is not high; support remote control with low time response requirements; remote control reliability and time response satisfaction intelligent shipShip integration requirements; the corresponding four tier scores are noted: A. b, C, D, respectively;
the execution reliability grade of the execution dimension of the marine corollary equipment consists of three judgment indexes, namely whether the corresponding factors of the remote control function, the remote control reliability and the remote control time are available, and the grade evaluation method comprises the following steps:
L5＝aL5*IfCon+bL5*Rei+cL5*TimAc
wherein: l is5Grading for grade;
IfCon represents whether the marine corollary equipment has a remote control function, the value of IfCon is 0 or 1, 0 represents that the marine corollary equipment has the remote control function, and 1 represents that the marine corollary equipment has the remote control function;
rei represents the reliability level of the remote control of the marine corollary equipment, the value solving mode is that the number of times that the marine corollary equipment correctly executes the remote control command accounts for the total number of times that the marine corollary equipment receives the remote control command, the value range is 0-Rei-1,
the TimAc represents the time response level of the remote control of the marine corollary equipment, and the TimAc value determination method comprises the following steps: firstly, when the remote control time response MyTimAC of the currently evaluated marine corollary equipment is less than or equal to the remote control time response CCSTImAC of the marine corollary equipment required by China classification society for intelligent ships, namely when MyTimAC is less than or equal to CCSTImAC, the MymAC is 1; secondly, when the remote control time response of the currently evaluated marine corollary equipment is larger than that of the Chinese classification society for the marine corollary equipment required by the intelligent ship, namely when MyTimAC is larger than or equal to CCSTIMAAc, the TimaC is {1+ [ (MyTimAC-CCSTIMAAc)/CCSTIMAAc ] } 100%;
0≤aL4,bL4,cL51 or less, and aL4+bL4+cL5＝1；
When L is5When the ship is in a state of A, remote control cannot be achieved, and at the moment, the ship corollary equipment does not support the remote control and cannot be intelligently managed and controlled;
when L is5B, namely remote control is supported but the reliability degree is not high, at the moment, the marine corollary equipment can be remotely controlled but the reliability degree is not high, and the marine corollary equipment existsNo response or delayed response;
when L is5C, the remote control with low response time requirement is supported, the marine corollary equipment supports the remote control at the moment, and the integration requirement of the intelligent ship is met for the service scene with low response time requirement;
when L is5D, remote control reliability and time response satisfy the integrated demand of intelligent boats and ships promptly, and marine corollary equipment supports remote control this moment, and remote control reliability and time response satisfy the integrated demand of intelligent boats and ships.
In the grading evaluation method for the intelligent integration capability level of the marine corollary equipment,
marine corollary equipment adaptation scene includes eight levels, corresponds eight levels of marine corollary equipment intelligence integrated capability level respectively, promptly: no intelligent integration capability is provided; the system has the capabilities of scene perception and state recording; the learning ability is provided preliminarily; the device has learning ability but cannot be self-adaptive; the system basically has decision-making capability and basic autonomous task execution capability; the system has behavior decision capability and basic autonomous task execution capability; the integration requirement of the intelligent ship is met, but the unmanned ability is not realized; the unmanned level requirement of the intelligent ship is met.
The invention also provides a grading evaluation system for the intelligent integration capability level of the marine corollary equipment, which is realized by the grading evaluation method for the intelligent integration capability level of the marine corollary equipment.
The beneficial technical effects are as follows: compared with the prior art, the intelligent integrated capability level grading evaluation method and system for the marine corollary equipment can realize the following steps: 1. carrying out grading evaluation work on the intelligent integration capability level of the marine corollary equipment; 2. providing an intelligent ship corollary equipment model selection working reference; 3. and working references of research, development, design, production, manufacture and service management of the marine corollary equipment are provided. The method and the system for grading and evaluating the intelligent integration capability level of the marine corollary equipment provide a standard making basis for the development of the marine corollary system and equipment to the direction of integration, greening and intellectualization.
The principle of the embodiment of the present invention will be further explained with reference to fig. 1 to 3.
The invention provides a grading evaluation method for intelligent integration capability level of marine corollary equipment, which finishes grading evaluation work for the intelligent integration capability level of the marine corollary equipment and provides a model selection work reference for the intelligent marine corollary equipment. FIG. 1 is a flow chart of a hierarchical evaluation method for intelligent integration capability level of marine corollary equipment provided by the invention.
As shown in fig. 1, the grading evaluation method for intelligent integration capability level of marine corollary equipment comprises the following steps:
step 101: and setting the intelligent integration capability level grading evaluation reference dimension of the marine corollary equipment.
The reference dimension for the grading evaluation of the intelligent integration capability level of the marine corollary equipment is set, as shown in the attached drawing 2, according to the working field of the marine corollary equipment and the system range of the marine corollary equipment, the evaluation dimension appeal provided by the grading evaluation of the intelligent integration capability level of the corollary equipment by the two factors is obtained, and therefore the grading evaluation dimension of the intelligent integration capability level of the marine corollary equipment is formed.
The working field of the corollary equipment comprises: marine propulsion systems and power systems, marine deck machinery and mooring, marine outfitting and hardware, marine auxiliary machinery, marine life saving and fire fighting equipment.
The system range of the marine corollary equipment comprises: the supporting equipment forms a component, supporting equipment, a ship subsystem and a ship overall system.
The hierarchical evaluation dimension of marine corollary equipment intelligent integration ability level includes: the method comprises five dimensions of demand mapping, data acquisition, data analysis, decision making and execution.
The requirement mapping is to convert the function requirement manually executed by the ship corollary equipment operator into an instruction which can be understood and executed by the ship corollary equipment. This process is the demand mapping.
The data acquisition is a process of acquiring original input data required by intelligent application of marine corollary equipment.
The data analysis is performed based on the collected data. On one hand, the current running environment and the service state of the marine corollary equipment are combined; on the other hand, the future change trend is predicted by intelligent means such as knowledge mining based on historical data. And on the basis, a decision basis of the intelligent application function of the marine corollary equipment is given, and the process is data analysis.
The decision is a process of executing corresponding functional behaviors according to a decision basis obtained by the marine corollary equipment based on the reasoning of the analysis process.
The execution is the process that the ship corollary equipment responds to the functional behavior determined based on the decision-making process.
The constituent components of the marine kit, or the constituent marine system, may also be referred to above for dimensional assessment to determine their respective intelligent integration capability level ratings.
Step 102: and dividing the intelligent integration capability level grading evaluation reference dimension grade of the marine corollary equipment.
The grading evaluation reference dimension grade of the intelligent integrated capability level of the marine corollary equipment is divided, as shown in the attached drawing 3, grading is carried out according to the evaluation indexes of all dimensions in the grading evaluation dimension of the intelligent integrated capability level of the marine corollary equipment, and the detailed contents of the evaluation indexes of all dimensions are as follows: the method comprises the steps of requiring the manual intervention degree of the mapping dimension, the data acquisition coverage rate of the data acquisition dimension, the data analysis accuracy of the data analysis dimension, the decision-making autonomous degree of the decision dimension and the execution reliability of the execution dimension.
According to the manual intervention degree, dividing the requirement mapping dimension into three levels, including: the whole process is participated, the auxiliary execution is carried out, and the participation is not needed, and the corresponding scores of three levels are recorded as: A. b, C are provided.
The whole process is participated, namely the marine corollary equipment cannot understand and execute instructions, and workers are required to operate the marine corollary equipment to complete corresponding functional requirements.
The auxiliary execution means that the ship corollary equipment can understand and execute part of instructions, and a part of workers are required to participate in operating the ship corollary equipment to meet corresponding functional requirements.
The ship corollary equipment does not need to participate, namely the ship corollary equipment understands and executes the instruction, and the staff does not need to participate in operating the ship corollary equipment.
According to the data acquisition coverage rate, dividing the data acquisition dimensionality into three levels, including: the matched equipment does not have a data interface, the data cannot completely represent the equipment state characteristics, the data more completely represents the equipment state characteristics, and the corresponding scores of three levels are recorded as: A. b, C are provided.
The corollary equipment does not have a data interface, namely the marine corollary equipment has a simple local display function of equipment state data and does not have a data output interface.
The data cannot completely represent the equipment state characteristics, namely the marine corollary equipment has an output interface of equipment state data, the data can be output to an acquisition system through a corresponding acquisition device, but the acquired data cannot completely describe the running state of the corollary equipment.
The data can completely represent the equipment state characteristics, namely the marine corollary equipment has an output interface of equipment state data, the data can be output to an acquisition system through a corresponding acquisition device, and the acquired data can completely describe the running state of the corollary equipment.
According to the data analysis accuracy, dividing the data analysis dimension into four levels, including: only equipment state backtracking is supported, the current equipment state is correctly evaluated, the intelligent ship integration requirement is met by simple function equipment state prediction, the intelligent ship integration requirement is met by complex function equipment state prediction, and the corresponding four-level scores are recorded as: A. b, C, D are provided.
The device state backtracking is only supported, namely, the collected data is only subjected to basic analysis and storage, and the historical operating state of the device can be known by inquiring a database.
The current equipment state is correctly evaluated, namely, the current running state of the equipment can be correctly evaluated by adopting a related data analysis algorithm on the acquired data, but the equipment state cannot be predicted and analyzed.
The simple function equipment state prediction meets the intelligent ship integration requirement, namely, a relevant data analysis algorithm is adopted for the collected data, the state prediction of the ship corollary equipment with relatively simple functions can be realized, and the prediction accuracy meets the intelligent ship integration requirement.
The state prediction of the complex function equipment meets the integration requirement of the intelligent ship, namely, the state prediction of the complex function marine corollary equipment can be realized by adopting a relevant data analysis algorithm on the collected data, and the prediction accuracy meets the integration requirement of the intelligent ship.
According to the degree of decision autonomy, the degree dimension is divided into three levels, including: manual decision, man-machine hybrid decision, and device autonomous decision, and the corresponding scores of three levels are recorded as: A. b, C are provided.
The manual decision, namely the function execution of the marine corollary equipment needs to be manually decided, and the business requirements are completed through manual operation.
The man-machine mixed decision, namely the function execution of the marine corollary equipment, is carried out by mixing the man power and the computer. For the event with similar solution, the corollary equipment can deal with the event autonomously. And for the event beyond the decision-making capability range of the corollary equipment, manual participation is needed.
The equipment autonomously decides, namely the knowledge obtained by the marine corollary equipment based on data analysis, and can autonomously decide to meet the business requirements of the intelligent ship.
According to the degree of decision autonomy, the degree dimension is divided into four levels, including: the remote control cannot be realized; remote control is supported, but the reliability degree is not high; support remote control with low time response requirements; remote control reliability and time response meet the integration requirements of the intelligent ship. The corresponding four tier scores are noted: A. b, C, D are provided.
The intelligent management and control can not be completed due to the fact that remote control cannot be achieved, namely, the marine corollary equipment does not support the remote control.
The system supports remote control, but the reliability degree is not high, namely the marine corollary equipment can be remotely controlled, but the reliability degree is not high, and the situations of no response or delayed response exist.
The remote control with low requirement for supporting time response, namely the marine corollary equipment supports remote control, and meets the integration requirement of the intelligent ship for the service scene with low requirement for response time.
The remote control reliability and the time response meet the intelligent ship integration requirement, namely, the marine corollary equipment supports remote control, and the remote control reliability and the time response meet the intelligent ship integration requirement.
Step 103: and establishing an intelligent integrated capability level grade table of the marine corollary equipment.
The method comprises the steps of establishing an intelligent integrated capability level grade table of the marine corollary equipment, evaluating the dependency relationship among reference dimension grades according to the intelligent integrated capability level grades of the marine corollary equipment, and setting the intelligent integrated capability level grade table of the marine corollary equipment;
the intelligent integrated capability level grade table of the marine corollary equipment is as follows:
Figure BDA0003357147960000191
Figure BDA0003357147960000201
step 104: and carrying out evaluation reference dimension score statistics according to the actual situation of the evaluated marine corollary equipment object.
Grading evaluation reference dimension according to the intelligent integration capability level of the marine corollary equipment, grading evaluation reference dimension grade criterion according to the intelligent integration capability level of the marine corollary equipment, and performing score statistics of each dimension by referring to the criterion according to the actual condition of an evaluated marine corollary equipment object;
the intelligent integrated ability level grading evaluation reference dimension score statistical table is as follows:
Figure BDA0003357147960000202
step 105: and determining the intelligent integration capability level grade of the evaluated marine corollary equipment according to the evaluation reference dimension scores.
And according to the statistics of the scores of all dimensions of the evaluated marine corollary equipment object, looking up an intelligent integration capability level grade table of the marine corollary equipment to obtain the intelligent integration capability level grade of the evaluated marine corollary equipment object.
Step 106: and giving a scene adaptation reference opinion of the marine corollary equipment.
And giving a reference opinion for the marine corollary equipment to adapt to the scene according to the intelligent integration capability level grade of the evaluated marine corollary equipment object.
Based on the intelligent integrated capability level grading assessment method of the marine corollary equipment, a corresponding software system is designed and developed, and the digital method for the intelligent integrated capability level grading assessment of the marine corollary equipment can be realized.
The method and system including the embodiments of the present invention are not limited to the specific implementation, and those skilled in the art can make other corresponding changes and modifications according to the technical idea of the present invention, and all such changes and modifications should fall within the protection scope of the claims of the present invention.

Claims (9)

1. A grading evaluation method for intelligent integration capability level of marine corollary equipment is characterized by comprising the following steps:
establishing grading evaluation criteria of intelligent integration capability level of marine corollary equipment; the evaluation criteria include: the intelligent integrated capability level grading evaluation reference dimension of the marine corollary equipment, the intelligent integrated capability level grading evaluation reference dimension grade of the marine corollary equipment and the intelligent integrated capability level grade table of the marine corollary equipment;
and carrying out grading evaluation on the intelligent integration capability level of the marine corollary equipment according to the actual condition of the evaluated marine corollary equipment object and the grading evaluation criterion of the intelligent integration capability level of the marine corollary equipment.
2. The method for grading and evaluating the intelligent integration capability level of a marine corollary equipment according to claim 1,
establishing grading evaluation criteria of intelligent integration capability level of marine corollary equipment; the grading evaluation of the intelligent integration capability level of the marine corollary equipment according to the actual condition of the evaluated marine corollary equipment object and the grading evaluation criterion of the intelligent integration capability level of the marine corollary equipment comprises the following steps:
step one, setting a grading evaluation reference dimension of the intelligent integration capability level of the marine corollary equipment;
secondly, dividing the intelligent integration capability level of the marine corollary equipment to evaluate the reference dimension level in a grading manner;
thirdly, establishing an intelligent integration capability level grade table of the marine corollary equipment;
fourthly, grading and evaluating a reference dimension according to the intelligent integrated capability level of the marine corollary equipment, grading and evaluating the reference dimension level according to the intelligent integrated capability level of the marine corollary equipment, and performing the dimension score statistics of the marine corollary equipment object by referring to the evaluation criterion according to the actual condition of the evaluated marine corollary equipment object;
fifthly, according to the statistics of the scores of all dimensions of the evaluated marine corollary equipment object, looking up a marine corollary equipment intelligent integration capability level grade table to obtain the intelligent integration capability level grade of the evaluated marine corollary equipment object;
and sixthly, giving a scene adaptation reference opinion of the marine corollary equipment according to the intelligent integration capability level grade of the evaluated marine corollary equipment object.
3. The method for grading and evaluating the intelligent integration capability level of a marine corollary equipment according to claim 2,
the set marine corollary equipment intelligent integration capability level grading evaluation reference dimension comprises the following steps: according to the working field of the marine corollary equipment, the system range of the marine corollary equipment and evaluation dimension requirements provided for grading evaluation of the intelligent integration capability level of the corollary equipment, and the two items, the grading evaluation dimension of the intelligent integration capability level of the marine corollary equipment is set;
the working field of the corollary equipment comprises: marine propulsion systems and power systems, marine deck machinery and mooring equipment, marine outfitting and hardware, marine auxiliary machinery, marine life saving and fire fighting equipment;
the system range of the marine corollary equipment comprises: the matched equipment forms a component, matched equipment, a ship subsystem and a ship overall system;
the hierarchical evaluation dimension of marine corollary equipment intelligent integration ability level includes: the method comprises the following steps of requirement mapping, data acquisition, data analysis, decision making and execution, wherein the five dimensions are as follows:
the requirement mapping is that the function requirement of the ship corollary equipment operator, which is manually executed, is converted into an instruction which can be understood and executed by the ship corollary equipment;
the data acquisition is a process of acquiring original input data required by intelligent application of marine corollary equipment;
the data analysis is carried out, namely, the data analysis is carried out based on the collected data; on one hand, the current running environment and the service state of the marine corollary equipment are combined; on the other hand, a knowledge mining intelligent means based on historical data predicts the future change trend; on the basis, a decision basis of the intelligent application function of the marine corollary equipment is provided;
the decision, namely the process of executing the corresponding functional behavior by the marine corollary equipment according to the decision basis obtained by reasoning based on the analysis process;
the execution is the process of the marine companion device responding to the functional behavior determined based on the decision-making process.
4. The grading evaluation method for the intelligent integration capability level of the marine corollary equipment according to claim 3, wherein the step of grading the intelligent integration capability level of the marine corollary equipment to evaluate the reference dimension grades comprises the following steps:
grading evaluation indexes of all dimensions in the dimension according to the intelligent integrated capability level grading evaluation of the marine corollary equipment, wherein the evaluation index content of each dimension is as follows: the method comprises the steps of requiring the manual intervention degree of the mapping dimension, the data acquisition coverage rate of the data acquisition dimension, the data analysis accuracy of the data analysis dimension, the decision-making autonomous degree of the decision dimension and the execution reliability of the execution dimension.
5. The method for grading and evaluating the intelligent integration capability level of a marine corollary equipment according to claim 4,
the method for formulating the grading evaluation criterion of the intelligent integration capability level of the marine corollary equipment is to establish the grading evaluation criterion of the intelligent integration capability level of the marine corollary equipment based on algorithms such as machine learning and the like, and comprises the following steps of:
step 1: acquiring the data of corollary equipment used in ships with different intelligent levels, and preprocessing the data;
step 2: manually labeling the obtained preprocessed data, wherein the labeled content is each dimension score of the intelligent integrated capability level grading evaluation dimension of the marine corollary equipment, the labeled data set is used as training data, and the score of each dimension is divided as follows:
demand mapping, wherein the score is 0-3, the [0-1] is A level, (1-2) is B level, and (2-3) is C level;
data acquisition, wherein the score is 0-3, the [0-1] is grade A, (1-2) is grade B, and (2-3) is grade C;
data analysis, the score is 0-4, the [0-1] is A grade, (1-2) is B grade, (2-3) is C grade, and (3-4) is C grade;
making a decision, wherein the score is 0-3, the [0-1] is the grade A, (1-2) is the grade B, and (2-3) is the grade C;
executing, wherein the scores are 0-4, the [0-1] is grade A, (1-2) is grade B, (2-3) is grade C, and (3-4) is grade D;
step 3: establishing a grading evaluation index L of the intelligent integration capability level of the matched equipment according to the training data obtained in Step2,
L＝a1*L1+a2*L2+a3*L3+a4*L4+a5*L5
wherein:
a1+a2+a3+a4+a5＝1，0≤a1,a2,a3,a4,a5≤1
L1-L5evaluating index functions of all dimensions of the dimension for intelligent integrated capability level grading evaluation of marine corollary equipment;
L1＝aL1*Com+bL1*Per1
L2＝aL2*Com+bL2*Per2
L3＝aL3*DataApp+bL3*Per3
L4＝aL4*Comp+bL4*Per4
L5＝aL5*IfCon+bL5*Rei+cL5*TimAc
L＝a1*(aL1*Com+bL1*Per1)+a2*(aL2*Com+bL2*Per2)+
a3*(aL3*DataApp+bL3*Per3)+a4*(aL4*Comp+bL4*Per4)+
a5*(aL5*IfCon+bL5*Rei+cL5*TimAc)
taking the standard data set as a reference target; utilizing group intelligent optimization algorithm to carry out optimization on each parameter a in indexes1,a2,a3,a4,a5,aL1,bL1,aL2,bL2,aL3,bL3,aL4,bL4,aL5,bL5,cL5Optimization was performed while normalizing L to [0,16 ]]To (c) to (d); obtaining the optimal value of each parameter and determining an index L;
obtaining the intelligent integration capability level grading of the marine corollary equipment according to the score of the optimized index L, wherein the value of L is 0-10, and [0-2] is the grade of L1, (2-4] is the grade of L2, (4-6] is the grade of L3, (6-8) is the grade of L4, (8-10) is the grade of L5, (10-12) is the grade of L6, (12-14) is the grade of L7, and (14-16) is the grade of L8;
step 4: on the basis of corollary equipment data used in ships with different intelligent levels, marking the corollary equipment data by using the optimized index L, and constructing a grading evaluation data set DS of the intelligent integration capability level of the marine corollary equipment by using the marine corollary equipment as an object and using the intelligent integration capability level of the marine corollary equipment as a characteristic, wherein the grading evaluation data set DS is used for machine learning;
step 5: carrying out classification learning by using a data set DS and a multi-class classification technology to obtain a classification evaluation criterion with the classification precision of more than or equal to 90%; the classification evaluation criterion can be used for carrying out classification evaluation on the intelligent integration capability level of the marine corollary equipment.
6. The method for grading and evaluating the intelligent integration capability level of a marine corollary equipment according to claim 5,
in Step2, the basis for manually labeling the obtained data at least includes expert experience, classification society regulations and academic literature.
7. The method for grading and evaluating the intelligent integration capability level of a marine corollary equipment according to claim 6,
in each dimension evaluation index function of the intelligent integrated capability level grading evaluation dimension of the marine corollary equipment,
demand mapping dimension L1That is, according to the human intervention degree, the requirement mapping dimension is divided into three levels, including: the whole process is participated, the auxiliary execution is carried out, and the participation is not needed, and the corresponding scores of three levels are recorded as: A. b, C, respectively;
the evaluation method of the dimension comprises the following steps: l is1＝aL1*Com+bL1*Per1
Wherein: l is1Grading for grade;
com represents the percentage of the functions realized by the marine corollary equipment controlled by the computer instruction to the total functions realized by the marine corollary equipment;
per1 represents the percentage of the functions that must be performed by manually operating the marine kit to the full functionality that can be performed by the marine kit;
0≤aL1,bL11 or less, and aL1+bL1＝1；
When L is1C, i.e. without participation, in which case the marine kit is usedThe instructions are understood and executed, and workers do not need to participate in the operation of the ship corollary equipment;
when L is1B, namely performing auxiliary execution, wherein the ship corollary equipment can understand and execute part of instructions, and a part of workers are required to participate in operating the ship corollary equipment to complete corresponding functional requirements;
when L is1When the ship corollary equipment cannot understand and execute instructions, the personnel are required to operate the ship corollary equipment to complete corresponding functional requirements
Data acquisition dimension L2That is, according to the data acquisition coverage, the data acquisition dimension is divided into three levels, including: the matched equipment does not have a data interface, the data cannot completely represent the equipment state characteristics, the data more completely represents the equipment state characteristics, and the corresponding scores of three levels are recorded as: A. b, C, respectively;
all the parameter acquisition methods required for describing the state of the marine corollary equipment are divided into the steps of reading by a worker machine and exporting by a data interface, and the evaluation method of the data acquisition dimension grade comprises the following steps: l is2＝aL2*Com+bL2Per2 wherein: l is2Grading for grade;
intf represents the percentage of the state parameters of the marine corollary equipment obtained by exporting the state parameters of the marine corollary equipment by the data interface to all parameters required for describing the state of the marine corollary equipment;
per represents the percentage of the state parameters of the marine corollary equipment which are read by a worker at the machine side to all the parameters required for describing the state of the marine corollary equipment;
0≤aL2,bL21 or less, and aL2+bL2＝1；
When L is2C, namely the data completely represents the equipment state characteristics, at the moment, the marine corollary equipment is provided with an output interface of the equipment state data, the data can be output to an acquisition system through a corresponding acquisition device, and the acquired data can describe the running state of the corollary equipment;
when L is2B, the data can not completely express the device status feature, at this time, the marine corollary device has an output interface of the device status data, and can be connected toOutputting the data to an acquisition system through a corresponding acquisition device, wherein the acquired data cannot completely describe the running state of the corollary equipment;
when L is2If the equipment does not have the data interface, the ship equipment has the local display function of the equipment state data and does not have the data output interface;
data analysis dimension L3That is, the data analysis dimension is divided into four levels according to the data analysis accuracy, including: only equipment state backtracking is supported, the current equipment state is correctly evaluated, the intelligent ship integration requirement is met by simple function equipment state prediction, the intelligent ship integration requirement is met by complex function equipment state prediction, and the corresponding four-level scores are recorded as: A. b, C, D, respectively;
all the parameter acquisition methods required for describing the state of the marine corollary equipment are divided into the steps of reading by a worker machine and exporting by a data interface, and the evaluation method of the data acquisition dimension grade comprises the following steps: l is3＝aL3*DataApp+bL3*Per3
Wherein: l is3Grading for grade;
the DataApp represents the data analysis application capability of the marine corollary equipment, and comprises state backtracking, state description and state prediction;
per3 represents the accuracy of data analysis of the marine corollary equipment;
0≤aL3,bL31 or less, and aL3+bL3＝1；
When L is3A, only equipment state backtracking is supported, namely, the collected data is only subjected to basic analysis and storage, and the historical operation state of the equipment can be known by inquiring a database;
when L is3B, correctly evaluating the current equipment state, namely adopting a related data analysis algorithm for the acquired data, wherein the current operation state of the equipment can be correctly evaluated, but the equipment state cannot be predicted and analyzed;
when L is3C, the state of the equipment with simple functions is predicted to meet the integrated requirement of the intelligent ship, and the collected data are analyzed by adopting a related data analysis algorithm, so that the ship matching with single function can be realizedThe equipment carries out state prediction, and the prediction accuracy meets the integration requirement of the intelligent ship;
when L is3D, the state prediction of the complex function equipment meets the integration requirement of the intelligent ship, namely, a related data analysis algorithm is adopted for the collected data, the state prediction of the ship corollary equipment with more than two functions can be realized, and the prediction accuracy meets the integration requirement of the intelligent ship;
decision dimension L4That is, according to the degree of decision autonomy, the degree dimension is divided into three levels, including: manual decision, man-machine hybrid decision, and device autonomous decision, and the corresponding scores of three levels are recorded as: A. b, C, respectively;
the decision-making behavior of the marine corollary equipment consists of two factors, namely manpower and computer, and the evaluation method of the decision-making dimension grade comprises the following steps:
L4＝aL4*Comp+bL4*Per4
wherein: l is4Grading for grade;
comp represents the percentage of the scene of decision made by the computer system of the marine corollary equipment in all decision-making scenes of the marine corollary equipment, and the decision-making scenes are calculated according to the decision-making times;
per4 represents the percentage of the scenes which must be decided manually in all decision scenes of the marine corollary equipment, and the decision scenes are calculated according to the decision times;
0≤aL4,bL41 or less, and aL4+bL4＝1；
When L is4C, the equipment autonomously decides, and at the moment, the marine corollary equipment can autonomously decide to meet the business requirements of the intelligent ship based on the knowledge obtained by data analysis;
when L is4B, namely man-machine hybrid decision, wherein the function execution of the marine corollary equipment is performed by mixing a man power and a computer, the corollary equipment can autonomously cope with the event of the existing similar solution, and the manual participation is required for the event beyond the decision capability range of the corollary equipment;
when L is4When the ship is matched, the man-made decision is madeThe execution of the standby function needs to be manually decided, and the business requirements are completed through manual operation;
execution dimension L5That is, according to the degree of decision autonomy, the degree dimension is divided into four levels, including: the remote control cannot be realized; remote control is supported but the degree of reliability is not high; support remote control with low time response requirements; remote control reliability and time response meet the integration requirements of the intelligent ship; the corresponding four tier scores are noted: A. b, C, D, respectively;
the execution reliability grade of the execution dimension of the marine corollary equipment consists of three judgment indexes, namely whether the corresponding factors of the remote control function, the remote control reliability and the remote control time are available, and the grade evaluation method comprises the following steps:
L5＝aL5*IfCon+bL5*Rei+cL5*TimAc
wherein: l is5Grading for grade;
IfCon represents whether the marine corollary equipment has a remote control function, the value of IfCon is 0 or 1, 0 represents that the marine corollary equipment has the remote control function, and 1 represents that the marine corollary equipment has the remote control function;
rei represents the reliability level of the remote control of the marine corollary equipment, the value solving mode is that the number of times that the marine corollary equipment correctly executes the remote control command accounts for the total number of times that the marine corollary equipment receives the remote control command, the value range is 0-Rei-1,
the TimAc represents the time response level of the remote control of the marine corollary equipment, and the TimAc value determination method comprises the following steps: firstly, when the remote control time response MyTimAC of the currently evaluated marine corollary equipment is less than or equal to the remote control time response CCSTImAC of the marine corollary equipment required by China classification society for intelligent ships, namely when MyTimAC is less than or equal to CCSTImAC, the MymAC is 1; secondly, when the remote control time response of the currently evaluated marine corollary equipment is larger than that of the Chinese classification society for the marine corollary equipment required by the intelligent ship, namely when MyTimAC is larger than or equal to CCSTIMAAc, the TimaC is {1+ [ (MyTimAC-CCSTIMAAc)/CCSTIMAAc ] } 100%;
0≤aL4,bL4,cL51 or less, and aL4+bL4+cL5＝1；
When L is5When the ship is in a state of A, remote control cannot be achieved, and at the moment, the ship corollary equipment does not support the remote control and cannot be intelligently managed and controlled;
when L is5B, namely supporting remote control but having low reliability, in which the marine corollary equipment can be remotely controlled but having low reliability, and no response or response delay exists;
when L is5C, the remote control with low response time requirement is supported, the marine corollary equipment supports the remote control at the moment, and the integration requirement of the intelligent ship is met for the service scene with low response time requirement;
when L is5D, remote control reliability and time response satisfy the integrated demand of intelligent boats and ships promptly, and marine corollary equipment supports remote control this moment, and remote control reliability and time response satisfy the integrated demand of intelligent boats and ships.
8. The method for grading and evaluating the intelligent integration capability level of a marine corollary equipment according to claim 2,
marine corollary equipment adaptation scene includes eight levels, corresponds eight levels of marine corollary equipment intelligence integrated capability level respectively, promptly: no intelligent integration capability is provided; the system has the capabilities of scene perception and state recording; the learning ability is provided preliminarily; the device has learning ability but cannot be self-adaptive; the system basically has decision-making capability and basic autonomous task execution capability; the system has behavior decision capability and basic autonomous task execution capability; the integration requirement of the intelligent ship is met, but the unmanned ability is not realized; the unmanned level requirement of the intelligent ship is met.
9. The grading evaluation system for the intelligent integration capability level of the marine corollary equipment is realized by the grading evaluation method for the intelligent integration capability level of the marine corollary equipment according to any one of claims 1 to 8.
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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8311863B1 (en) * 2009-02-24 2012-11-13 Accenture Global Services Limited Utility high performance capability assessment
CN111915136A (en) * 2020-06-30 2020-11-10 华南理工大学 Intelligent equipment live working expected efficiency evaluation method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8311863B1 (en) * 2009-02-24 2012-11-13 Accenture Global Services Limited Utility high performance capability assessment
CN111915136A (en) * 2020-06-30 2020-11-10 华南理工大学 Intelligent equipment live working expected efficiency evaluation method

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