CN-116578296-B - Intelligent machine tool man-machine interaction interface layout optimization method based on cuckoo-particle swarm

CN116578296BCN 116578296 BCN116578296 BCN 116578296BCN-116578296-B

Abstract

The invention provides an intelligent machine tool man-machine interaction interface layout optimization method based on a cuckoo-particle swarm, and belongs to the field of equipment interface engineering design. The method comprises the steps of determining the importance of a module of a man-machine interface of the intelligent machine tool, classifying visual perception intensity levels, constructing a layout optimization model, solving the layout optimization model and evaluating the optimization effect. According to the man-machine interaction task and the cognitive characteristics of an operator, the system researches an ergonomics optimization design method of the intelligent machine tool man-machine interaction interface. The particle swarm algorithm with the inertia weight W is introduced into the cuckoo search algorithm, so that the problems that the algorithm is slow in late convergence and easy to fall into local optimum are solved. The method has the beneficial effects that a man-machine interaction interface layout optimization scheme of the numerical control machine is obtained, and the comfort and interaction efficiency of the man-machine interaction process of the intelligent numerical control machine are improved. And good support is provided for the human-computer interaction interface optimization design of the numerical control machine tool.

Inventors

JIANG XINGYU
Zhao Rizheng
Bi Kaihang
Ni Zhijia
SU HAIBO
TIAN ZHIQIANG
DU PENGBO
YANG GUOZHE
SONG BOXUE

Assignees

沈阳工业大学

Dates

Publication Date: 20260505
Application Date: 20230330

Claims (5)

1. The intelligent machine tool man-machine interaction interface layout optimization method based on the cuckoo-particle swarm is characterized by comprising the following steps of: S1, determining importance of a man-machine interface module of the intelligent machine tool, S2, classifying visual perception intensity levels of a man-machine interface of the intelligent machine tool, S3, constructing an intelligent machine tool man-machine interaction interface layout optimization model, S4, carrying out intelligent machine tool man-machine interaction interface layout optimization model solving based on a cuckoo-particle swarm algorithm, S5, evaluating the optimization effect of the man-machine interaction interface of the intelligent machine tool, The specific method of the step S3 is as follows: (1) The description of the problems is based on the layout optimization related principle and related ergonomics principle of the man-machine interaction interface of the intelligent numerical control machine, the visual perception intensity level of the parameter information of different module areas of the man-machine interaction interface is combined, the importance degree, the related degree, the operation sequence and the watching frequency of each module area in the man-machine interaction interface are quantitatively analyzed, the area modules with higher importance, the related degree and the watching frequency are ensured to be arranged in the area with high visual perception intensity level, the logic degree among the operation relations of each area is noted, the total importance degree of each module area occupies the maximum comprehensive intensity in each visual perception intensity area as the target, the layout optimization model of the intelligent numerical control machine man-machine interaction interface based on the visual perception intensity is constructed, (2) The condition assumption is that the size, the number and the internal composition form of all module areas of the man-machine interaction interface of the intelligent numerical control machine tool are unchanged, the overlapping condition among the module areas does not exist, the area layout range is within the boundary of the man-machine interaction interface, (3) The variable definition comprises the following main variables of the intelligent numerical control machine tool man-machine interaction interface layout optimization model: W-the total weight of the essential degree, wherein K-visual perception intensity level for different module regions, For the intensity level of the ith module region in the jth visually perceived region, X-number of units occupied by regions of different classes of visual perception intensity modules, For the number of units occupied by the ith module area in the jth visual perception area, U is the level of the visual perception intensity area where the centroid of the module area is located, For the intensity level of the ith module region in the jth visually perceived region, N-number of human-computer interaction interface module regions M-number of human-computer interaction interface visual perception intensity levels Z-human-machine interface layout optimization comprehensive strength S-total number of human-computer interaction interface units The intelligent numerical control machine tool man-machine interaction interface layout optimization model can be expressed as: 。
2. The intelligent machine tool man-machine interaction interface layout optimization method based on the cuckoo-particle swarm according to claim 1, wherein the specific method in the step S1 is as follows: (1) Intelligent machine tool human-machine interface cognitive characteristic analysis based on cognitive psychology Analyzing the user characteristics of the intelligent numerical control machine tool in the human-computer interaction process, determining the cognitive characteristics of an operator on the human-computer interaction interface of the intelligent numerical control machine tool, integrating the cognitive characteristics into the optimal design of the human-computer interaction interface, and achieving the final purposes of reducing the cognitive fatigue condition of the user, increasing the comfort level of the operator, enhancing the satisfaction degree of the human-computer interface layout and improving the working efficiency; 1) Establishing an intelligent machine tool interaction characteristic model Constructing an intelligent numerical control system interaction characteristic model according to the difference between the interaction mode of the current intelligent numerical control system and the traditional complex system; 2) Establishing an intelligent machine tool man-machine interaction interface user cognition characteristic model; aiming at the problems that the intelligent numerical control machine man-machine interaction interface has multiple information, multiple parameters and multiple information coding contents which are aggregated and complex, and the user is difficult to quickly lock the needed task information content, the user cognition characteristic analysis is carried out, and a user cognition characteristic model of the intelligent numerical control machine man-machine interaction interface is constructed; (2) Intelligent machine tool human-machine interface module division considering cognitive characteristics Modularly decomposing human-computer interaction interface information of the intelligent numerical control machine tool, dividing the human-computer interaction interface into module interfaces with different sizes according to the correlation of parameter information, coding each functional module in the human-computer interaction interface by adopting an integer number of 1 to 20, and carrying out rearrangement optimization on the decomposed modules without adjacent or adjacent arrangement condition between each functional module; (3) Importance evaluation index system of intelligent machine tool man-machine interface module 1) Questionnaire content design for interface importance evaluation index Starting from the perception condition, the memory condition, the layout condition, the relation degree among modules, the attention resource allocation condition and the reaction speed condition of the man-machine interaction interface of the intelligent numerical control machine tool, inquiring 24 questions and issuing questionnaires; 2) Questionnaire and data analysis The method comprises the steps of firstly carrying out credibility analysis on a result based on SPSS software, and then carrying out factor analysis on an intelligent machine tool man-machine interface module importance evaluation index questionnaire considering user cognitive characteristics; 3) Constructing an interface module importance evaluation system; (4) AHP-DEMATAL-based interface module importance degree determination method 1) Firstly, creating a hierarchical structure, carrying out paired comparison on the identified factors by using a 9-point scale, constructing a paired comparison matrix, determining the normalized weights of the identified factors and forming normalized weight vectors, sorting according to the weights based on the normalized vectors and completing consistency check of evaluation, wherein N is the order of the matrix, 2) Creating a direct relation matrix, determining that an expert compares the identified parameters in pairs to determine the degree of influence of each parameter on other parameters, Building a direct relationship averaging matrix 3) Creation of a normalized direct relationship matrix, and then multiplying the direct relationship matrix by a factor F to obtain The direct relation matrix is normalized and is used to determine, 4) Calculation of a total relationship matrix, which represents the total relationship between all identified parameter pairs, 5) Determination of row and column sums and centrality of a total relationship matrix 6) Determining the weight of the comprehensive index by setting the weight of the j-th evaluation index of the i-th level as 7) Is the comprehensive weight value of the j-th index, which is equal to the product of the self weight of the index and the weight of each level in the dimension 。
3. The intelligent machine tool man-machine interaction interface layout optimization method based on the cuckoo-particle swarm according to claim 1, wherein the specific method in the step S2 is as follows: The allocation of the user attention resource is carried out, the sight distribution condition of human eyes is analyzed, the visual perception intensity level of the user is defined and is reasonably classified, the visual perception intensity level is fused with the modularized classification result of the man-machine interaction interface of the intelligent numerical control machine tool, the sight distribution condition of each module area of the man-machine interaction interface of the intelligent numerical control machine tool is determined, (1) Horizontal and vertical field of view When a user reads the man-machine interaction interface of the intelligent numerical control machine tool, the man-machine interaction interface needs to be smoothly carried out by matching with the rotation of eyeballs of human eyes, the visual perception intensity interval of the user can be obtained through the combination of the visual field range of the human eyes in the horizontal direction and the vertical direction, (2) Visual perception region distribution Based on View Cones in JACK and Visual Fields modules, analyzing Visual perception conditions in the interaction process of the human-computer interaction interface of the intelligent numerical control machine, (3) Interface visual perception intensity classification And constructing an intelligent numerical control machine tool man-machine interaction interface modularized interface based on the visual perception area intensity level.
4. The intelligent machine tool man-machine interaction interface layout optimization method based on the cuckoo-particle swarm according to claim 1, wherein the specific method in the step S4 is as follows: Step1, initializing related parameters, namely, population size N; step2, setting disturbance iteration threshold Setting upper and lower boundaries b and a of the variables; Step3, calculating fitness values of all nest positions of the population, and recording the optimal nest positions and the fitness values thereof; Step4, calculating the fitness value of the nest position after updating, comparing the fitness value of the nest position before updating, and reserving the best nest position and the fitness value thereof; Step5, discarding each bird nest, calculating the fitness value of the position of the bird nest after discarding and comparing the fitness value with the fitness value of the position of the bird nest before discarding; Step6, carrying out mutation on each bird nest, calculating the fitness value of the position of the bird nest after mutation and comparing the fitness value with the fitness value of the position of the bird nest before mutation; Step7, recording the optimal nest position and fitness value of each iteration if Then the bird nest is disturbed and the optimal position of the population is reserved; step8, judging whether the termination condition is met (the maximum iteration times are reached), if yes, outputting an optimal solution, otherwise, jumping to Step3.
5. The intelligent machine tool man-machine interaction interface layout optimization method based on the cuckoo-particle swarm according to claim 1, wherein the specific method in the step S5 is as follows: (1) Subjective and objective combination weight determination for evaluating man-machine interaction interface of intelligent machine tool 1) BWM method for determining subjective weight Building a BWM model: 2) CRITIC method to determine objective weights First construct an initial decision matrix, wherein For evaluation value of scheme Normalizing an initialization decision matrix: information amount in j attribute : Wherein the method comprises the steps of Standard deviation for the jth attribute is as follows: Wherein the method comprises the steps of The correlation coefficient between the attributes j and l is expressed as: The target weight is expressed as : 3) Obtaining combined weights based on a minimum total deviation method The core of the minimum total deviation-based method is that the deviation between the evaluation vector corresponding to the combined weight and the evaluation vector corresponding to the original weight should be as small as possible, and an optimal weight model is obtained: (2) Intelligent machine tool man-machine interaction interface evaluation method based on normal fuzzy number Based on the combining weights, an average value of each attribute is calculated And standard deviation Constructing a standard value matrix Constructing a composite decision matrix Calculating scheme index by standard value matrix Z 。

Description

Intelligent machine tool man-machine interaction interface layout optimization method based on cuckoo-particle swarm Technical Field The invention relates to an intelligent machine tool man-machine interaction interface layout optimization method based on a cuckoo-particle swarm, and belongs to the field of equipment interface engineering design. Background Under the wave of global manufacturing industry technical innovation, intelligent manufacturing is the mainstream development trend of technical innovation in recent years. The intelligent development of the numerical control machine tool serving as the core competitiveness of the intelligent manufacturing field has become the competitive focus of various countries. In the operation process of the intelligent machine tool, because feedback data are numerous, the accurate operation of the processing process is required for a user to ensure the processing quality. The role of human-machine interaction in the operation of intelligent machine tools is self-evident. The man-machine interface is used as a medium for information interaction between the machine tool and personnel, and the simplicity and the high efficiency of the man-machine interface are the primary factors of man-machine interface design. The intelligent machine tool man-machine interface has increased functionality, which results in increased interface complexity. In order to ensure the working efficiency of the user and reduce the fatigue degree, the comprehensive monitoring and real-time control of the intelligent machine tool by the user should be realized. Therefore, the optimal design of the man-machine interface of the intelligent machine tool is particularly important. The users of the intelligent machine tool are changed from the traditional operators to the directions of observers and decision makers, the cognitive requirements of the users on information are increased due to the change of roles, the cognitive load and the workload of the users are increased, and the human-computer interaction efficiency is low. The existing human-computer interface optimization research is mainly focused on the aspects of information interface layout optimization, space layout optimization and the like, and achieves a certain effect. However, considering the complexity and multidimensional interaction information of the intelligent machine tool operation process, especially the high integration and complexity of an industrial control system, the existing man-machine interface layout optimization method is difficult to meet the multi-level, multi-functional and multi-target man-machine interaction requirements, and the following problems still exist to be solved: (1) The current intelligent machine tool man-machine interface layout model performs layout optimization through experience of a mechanical engineer, so that the watching frequency, correlation and operation sequence of each functional module of the interface are difficult to be considered systematically, and the evaluation of each functional module has stronger subjectivity, so that the current man-machine interface layout effect is difficult to meet the requirements of improving the working efficiency and the operation stability of users. (2) The existing intelligent machine tool man-machine interface optimization method is limited to meeting basic function requirements of a system, ignoring visual perception conditions of operators and comprehensive importance of each module in an interface, and causing difficulty in meeting complex cognitive requirements of man-machine interaction such as multiple information, multiple processes and the like, so that operators are difficult to quickly and accurately acquire key parameter information, real-time control of the operators is further affected, and potential safety hazards are generated. (3) When solving a layout optimization model of a man-machine interface of an intelligent machine tool, when solving the model by a traditional optimization algorithm, the problem that the algorithm is easy to fall into local optimum and the solving quality is low is caused by improper setting of the importance degree of module parameter information. Disclosure of Invention The invention aims to provide an intelligent machine tool man-machine interaction interface layout optimization method based on a cuckoo-particle swarm, which provides a better thought for man-machine interaction interface optimization design of an intelligent machine tool. The invention discloses a cuckoo-particle swarm-based intelligent machine tool human-computer interaction interface layout optimization method, which comprises the following steps: S1, determining importance of a man-machine interface module of the intelligent machine tool, S2, classifying visual perception intensity levels of a man-machine interface of the intelligent machine tool, S3, constructing an intelligent machine tool man-machine interaction interface layout opt