CN116757562B - Intelligent manufacturing scheduling method with self-learning capability - Google Patents
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Abstract
The invention relates to the technical field of intelligent manufacturing scheduling methods, in particular to an intelligent manufacturing scheduling method with self-learning capability. The method has the advantages that the manufacturing videos of the manufacturing assembly lines in the factory corresponding to the current monitoring period are obtained, the number of workers and the working time of the workers of the manufacturing assembly lines corresponding to the current monitoring period are analyzed, meanwhile, the work efficiency value and the fatigue value of the workers of the manufacturing assembly lines corresponding to the current monitoring period are analyzed, the real-time state of the workers of the manufacturing assembly lines can be intuitively known, meanwhile, reliable data support is provided for the analysis of the effective evaluation value of the subsequent manufacturing assembly lines corresponding to the current monitoring period, the reliability and the accuracy of the analysis result of the effective evaluation value of the manufacturing assembly lines corresponding to the current monitoring period are improved, and the execution of the subsequent intelligent manufacturing schedule is further facilitated.
Description
Technical Field
The invention relates to the technical field of intelligent manufacturing scheduling methods, in particular to an intelligent manufacturing scheduling method with self-learning capability.
Background
With the rapid development of artificial intelligence technology and data analysis technology, more and more fields gradually refer to artificial intelligence technology, and the artificial intelligence technology not only can realize automation and intellectualization of tasks, but also can reduce manual operation and intervention. Through the self-learning capability of the machine, intelligent manufacturing scheduling can be realized for the work of the factory assembly line, and the work efficiency and the production efficiency are improved.
In the process of personnel scheduling in the current factory, the situation that part of personnel are idle or part of post staff is insufficient is usually caused by improper scheduling. Meanwhile, the adjustment cannot be performed in time according to the actual condition of the factory, and the working efficiency of the factory is low.
Disclosure of Invention
In order to overcome the defects in the background art, the embodiment of the invention provides an intelligent manufacturing scheduling method with self-learning capability, which can effectively solve the problems related to the background art.
The aim of the invention can be achieved by the following technical scheme: an intelligent manufacturing scheduling method with self-learning capability comprises the following steps:
step one, acquiring production lines corresponding to a factory to obtain all production lines corresponding to the factory, and acquiring manufacturing videos of all production lines corresponding to the factory in a current monitoring period through an intelligent camera to obtain manufacturing videos of all production lines corresponding to the current monitoring period.
Analyzing basic parameters of workers corresponding to the current monitoring period of each manufacturing assembly line based on the manufacturing video corresponding to the current monitoring period of each manufacturing assembly line to obtain basic parameters of the workers corresponding to the current monitoring period of each manufacturing assembly line, and analyzing working parameters of the workers in the current monitoring period of each manufacturing assembly line to obtain working parameters of the workers corresponding to the current monitoring period of each manufacturing assembly line;
preferably, the basic parameters of workers corresponding to the current monitoring period of each manufacturing assembly line are analyzed, and the specific analysis mode is as follows:
analyzing the manufacturing video of each manufacturing assembly line corresponding to the current monitoring period to obtain manufacturing images of each manufacturing assembly line corresponding to each monitoring time point in the current monitoring period;
extracting face images of workers of each manufacturing assembly line corresponding to each monitoring time point in the current monitoring time period from the manufacturing images of each monitoring time point of each manufacturing assembly line corresponding to the current monitoring time period, comparing the face images of the workers of each monitoring time point with each other, and removing face images of the same workers from the face images to obtain face images of each worker of each manufacturing assembly line corresponding to the current monitoring time period, so that the number of workers of each manufacturing assembly line corresponding to the current monitoring time period is counted to be used as the number of workers of each manufacturing assembly line corresponding to the current monitoring time period;
acquiring face images of all working workers in the current monitoring period corresponding to all manufacturing pipelines, matching the face images of all working workers in the current monitoring period corresponding to all manufacturing pipelines with the face images of workers in the corresponding monitoring time points in the manufacturing pipelines, if the face images of a certain working worker are successfully matched with the face images of the workers in the certain monitoring time points, recording the monitoring time points as working time points, thus obtaining all working time points of all working workers in the current monitoring period corresponding to all manufacturing pipelines, integrating adjacent working time points, obtaining all working time periods of all working workers in the current monitoring period corresponding to all manufacturing pipelines, and counting the total duration of all working time periods of all working workers in the current monitoring period corresponding to all manufacturing pipelines as the working time duration of all working workers in the current monitoring period corresponding to all manufacturing pipelines;
and forming basic parameters of workers of each manufacturing assembly line corresponding to the current monitoring period by the number of workers of each manufacturing assembly line corresponding to the current monitoring period and the working time of each worker.
Preferably, the worker working parameters of each manufacturing assembly line corresponding to the current monitoring period are analyzed, and the specific analysis mode is as follows:
extracting the number of finished products of each worker in the current monitoring period corresponding to each manufacturing assembly line from the manufacturing video of each manufacturing assembly line corresponding to the current monitoring period to obtain the number of finished products of each worker in the current monitoring period corresponding to each manufacturing assembly line;
extracting the working time length of each worker in each manufacturing assembly line corresponding to the current monitoring period from the basic parameters of the worker in each manufacturing assembly line corresponding to the current monitoring period, and taking the value as GT i j ；
Obtaining the corresponding current monitoring period of each manufacturing assembly line through analysisThe work efficiency value of each worker is recorded as XL i j I is denoted as the number of each manufacturing line, i=1, 2,..n, j is denoted as the number of each worker, j=1, 2,..m;
extracting working time length tables of all workers corresponding to the monitoring periods from a database, and extracting working time length tables of all workers corresponding to the monitoring periods of all manufacturing pipelines from the working time length tables of all workers corresponding to the monitoring periods;
based on the current monitoring period, acquiring the continuous working time length of each worker corresponding to each manufacturing assembly line from the working time length table of each worker corresponding to the monitoring period of each manufacturing assembly line, obtaining the continuous working time length of each worker corresponding to each manufacturing assembly line, analyzing to obtain the fatigue value of each worker in the current monitoring period corresponding to each manufacturing assembly line, and recording as PL i j ；
And working parameters of workers of each manufacturing assembly line corresponding to the current monitoring period are formed by the work efficiency value and the fatigue value of each worker in the current monitoring period of each manufacturing assembly line.
Step three, obtaining the manufacturing output of each manufacturing assembly line corresponding to the current monitoring period, and analyzing the effective evaluation value of each manufacturing assembly line corresponding to the current monitoring period based on the manufacturing output of each manufacturing assembly line corresponding to the current monitoring period, the basic parameters of workers and the working parameters of workers, so as to obtain the effective evaluation value of each manufacturing assembly line corresponding to the current monitoring period;
preferably, the method includes analyzing the effective evaluation value of each manufacturing assembly line corresponding to the current monitoring period based on the manufacturing yield, the basic parameters of workers and the working parameters of workers of each manufacturing assembly line corresponding to the current monitoring period to obtain the effective evaluation value of each manufacturing assembly line corresponding to the current monitoring period, wherein the specific analysis mode is as follows:
extracting the value of the manufacturing yield of each manufacturing pipeline corresponding to the current monitoring period, and recording the value as ZN i ；
Extracting the worker basic parameters of each manufacturing assembly line corresponding to the current monitoring period from the worker basic parameters of each manufacturing assembly line corresponding to the current monitoring periodThe number of workers is recorded as GN i The method comprises the steps of carrying out a first treatment on the surface of the Simultaneously extracting the working time length GT of each worker in the current monitoring period corresponding to each manufacturing assembly line i j ；
Extracting work efficiency value XL of each worker in each manufacturing assembly line corresponding to the current monitoring period from worker work parameters of each manufacturing assembly line corresponding to the current monitoring period i j And fatigue value PL of each worker i j ；
Calculating an effective evaluation value PZ of each manufacturing assembly line corresponding to the current monitoring period through a formula i The calculation formula is as follows:
，ZN 0 reference production yield, GN, expressed as the corresponding monitoring period stored in the database i 0 Expressed as a reference worker number, GT, corresponding to the ith manufacturing line stored in the database 0 The reference working time periods of the set worker corresponding to the monitoring periods are indicated, and a1, a2, a3, a4 and a5 are respectively indicated as set weight factors.
Analyzing the efficiency level of each manufacturing assembly line corresponding to the current monitoring period based on the efficiency evaluation value of each manufacturing assembly line corresponding to the current monitoring period to obtain the efficiency level of each manufacturing assembly line corresponding to the current monitoring period: and matching the effective evaluation value of each manufacturing assembly line corresponding to the current monitoring period with the effective evaluation value interval of each set efficiency level to obtain the efficiency level of each manufacturing assembly line corresponding to the current monitoring period, wherein the efficiency level is specifically one, two, three and the like.
If the efficiency level of a certain manufacturing assembly line corresponding to the current monitoring period is three or equal, personnel movement parameters corresponding to the manufacturing assembly line are analyzed, and if the efficiency level of the certain manufacturing assembly line corresponding to the current monitoring period is two or equal, personnel display parameters corresponding to the manufacturing assembly line are analyzed, so that execution parameters corresponding to the manufacturing assembly lines are formed;
preferably, if the efficiency level of a certain manufacturing line corresponding to the current monitoring period is equal to or three, the personnel movement parameters corresponding to the manufacturing line are analyzed in the following specific analysis modes:
if the efficiency level of a certain manufacturing assembly line corresponding to the current monitoring period is three, the efficiency evaluation value of the manufacturing assembly line corresponding to the current monitoring period is differenced with the set reference efficiency evaluation value, so that the efficiency evaluation value of the manufacturing assembly line corresponding to the current monitoring period is obtained and recorded as a value to be adjusted of the manufacturing assembly line corresponding to the current monitoring period;
if the efficiency grade of a certain manufacturing assembly line corresponding to the current monitoring period is equal, performing difference between the efficiency evaluation value of the manufacturing assembly line corresponding to the current monitoring period and the set reference efficiency evaluation value to obtain an efficiency evaluation value of the manufacturing assembly line corresponding to the current monitoring period, and recording the efficiency evaluation value as a borrowing and regulating value of the manufacturing assembly line corresponding to the current monitoring period;
screening out manufacturing pipelines with the first efficiency grade from the efficiency grades of the manufacturing pipelines corresponding to the current monitoring period, marking the manufacturing pipelines as first grade pipelines, and obtaining borrowing and regulating values of the first grade pipelines corresponding to the current monitoring period;
screening out manufacturing pipelines with the efficiency level of third class from the efficiency levels of the manufacturing pipelines corresponding to the current monitoring period, marking the manufacturing pipelines as the third class pipelines, and obtaining the value required to be adjusted of each third class pipeline corresponding to the current monitoring period;
matching the borrowing value of each first-class pipeline corresponding to the current monitoring period with the number of the mobilizable personnel corresponding to the set borrowing value to obtain the number of the mobilizable personnel of each first-class pipeline corresponding to the current monitoring period;
matching the value to be adjusted of each three-equal-pipeline corresponding to the current monitoring period with the number of people to be moved corresponding to the set value to be adjusted, and obtaining the number of people to be moved of each three-equal-pipeline corresponding to the current monitoring period.
Preferably, if the efficiency level of a certain manufacturing assembly line corresponding to the current monitoring period is equal to two, the personnel display parameters corresponding to the manufacturing assembly line are analyzed in the specific analysis mode that:
and screening out the manufacturing pipelines with the efficiency level of two levels from the efficiency levels of the manufacturing pipelines corresponding to the current monitoring period, recording the manufacturing pipelines as two-level pipelines, acquiring the number of workers of the two-level pipelines corresponding to the current monitoring period, and taking the number of workers as personnel display parameters.
And fifthly, executing corresponding processing based on the execution parameters corresponding to each manufacturing pipeline.
The invention has the beneficial effects that:
according to the invention, the manufacturing video of each manufacturing assembly line corresponding to the current monitoring period in the factory is obtained, the number of workers and the working time length of each worker in each manufacturing assembly line corresponding to the current monitoring period are analyzed, and meanwhile, the work efficiency value and the fatigue value of each worker in each manufacturing assembly line corresponding to the current monitoring period are analyzed, so that the real-time state of each worker in each manufacturing assembly line can be intuitively known, meanwhile, reliable data support is provided for the analysis of the effective evaluation value of each subsequent manufacturing assembly line corresponding to the current monitoring period, the reliability and the accuracy of the effective evaluation value analysis result of each manufacturing assembly line corresponding to the current monitoring period are improved, and the execution of the subsequent intelligent manufacturing schedule is further facilitated.
According to the invention, the efficiency of manufacturing in the manufacturing assembly line can be found in time by analyzing the efficiency evaluation value of each manufacturing assembly line corresponding to the current monitoring period based on the manufacturing yield, the basic parameters of workers and the working parameters of workers of each manufacturing assembly line corresponding to the current monitoring period, a data basis is provided for the subsequent optimized production line, the production efficiency and the production capacity are improved to a great extent, and the cost and the risk are reduced.
By analyzing the execution parameters corresponding to each manufacturing assembly line, the intelligent scheduling of the manufacturing assembly line is realized, the rationality and the utilization rate of resource allocation are improved, the production efficiency of the manufacturing assembly line is improved, the idle and waste of resources are greatly reduced, and the economic benefit of factories is improved.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a flow chart of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention is an intelligent manufacturing scheduling method with self-learning capability, comprising the following steps:
step one, acquiring production lines corresponding to a factory to obtain all production lines corresponding to the factory, and acquiring manufacturing videos of all production lines corresponding to the factory in a current monitoring period through an intelligent camera to obtain manufacturing videos of all production lines corresponding to the current monitoring period.
Analyzing the basic parameters of the workers corresponding to the current monitoring period of each manufacturing assembly line based on the manufacturing video corresponding to the current monitoring period of each manufacturing assembly line to obtain the basic parameters of the workers corresponding to the current monitoring period of each manufacturing assembly line, wherein the specific analysis steps are as follows:
analyzing the manufacturing video of each manufacturing assembly line corresponding to the current monitoring period to obtain manufacturing images of each manufacturing assembly line corresponding to each monitoring time point in the current monitoring period.
Extracting face images of workers of each manufacturing assembly line corresponding to each monitoring time point in the current monitoring time period from the manufacturing images of each monitoring time point of each manufacturing assembly line corresponding to the current monitoring time period, comparing the face images of the workers of each monitoring time point with each other, removing face images of the same workers from the face images, and obtaining face images of each worker of each manufacturing assembly line corresponding to the current monitoring time period, so that the number of workers of each manufacturing assembly line corresponding to the current monitoring time period is counted, and the face images of each worker of each manufacturing assembly line corresponding to the current monitoring time period are used as the number of workers of each manufacturing assembly line corresponding to the current monitoring time period.
The face images of the working workers in the current monitoring period corresponding to the manufacturing assembly lines are obtained, the face images of the working workers in the current monitoring period corresponding to the manufacturing assembly lines are matched with the face images of the workers in the monitoring time points corresponding to the manufacturing assembly lines, if the face images of the working workers are successfully matched with the face images of the workers in the monitoring time points, the monitoring time points are recorded as working time points, the working time points of the working workers in the current monitoring period corresponding to the manufacturing assembly lines are obtained, adjacent working time points are integrated, the working time periods of the working workers in the current monitoring period corresponding to the manufacturing assembly lines are obtained, the total duration of the working time periods of the working workers in the current monitoring period corresponding to the manufacturing assembly lines is counted, and the total duration of the working time periods of the working workers in the current monitoring period corresponding to the manufacturing assembly lines is used as the working duration of the working workers in the current monitoring period corresponding to the working assembly lines.
And forming basic parameters of workers of each manufacturing assembly line corresponding to the current monitoring period by the number of workers of each manufacturing assembly line corresponding to the current monitoring period and the working time of each worker.
Analyzing the working parameters of each worker in the current monitoring period corresponding to each manufacturing assembly line to obtain the working parameters of each worker in the current monitoring period corresponding to each manufacturing assembly line, wherein the specific analyzing steps are as follows:
and extracting the number of finished products of each worker in the current monitoring period corresponding to each manufacturing assembly line from the manufacturing video of each manufacturing assembly line corresponding to the current monitoring period, and obtaining the number of finished products of each worker in the current monitoring period corresponding to each manufacturing assembly line.
Extracting the working time length of each worker in each manufacturing assembly line corresponding to the current monitoring period from the basic parameters of the worker in each manufacturing assembly line corresponding to the current monitoring period, and taking the value as GT i j 。
Matching the working time length of each worker in the current monitoring period corresponding to each manufacturing assembly line with the number of the reference finished products corresponding to the set working time length to obtain the number of the reference finished products of each worker in the current monitoring period corresponding to each manufacturing assembly line, taking the number of the reference finished products, and recording the number as WC ij 0 . i is denoted as each manufacturing flowThe number of waterline, i=1, 2,..n, j represents the number of each worker, j=1, 2,..m, n represents the total number of manufacturing line numbers, and m represents the total number of worker numbers.
According to formula XL i j =(WC i j /GT i j )×z1+(WC i j /WC ij 0 )×z2+(1/(|GT i j -GT 0 Calculating work efficiency value XL of each worker in the current monitoring period corresponding to each manufacturing line by using |+1) x z3 i j ，WC i j Expressed as the number of finished products of the ith manufacturing line corresponding to the jth worker in the current monitoring period, GT i j The working time length of the jth worker in the current monitoring period is expressed as the ith manufacturing line, GT 0 The reference working time length of the set worker corresponding to the monitoring period is represented as z1, z2 and z3, and the set weighting factors are represented as set weighting factors.
The working time length tables of all workers corresponding to the monitoring periods are extracted from the database, and the working time length tables of all workers corresponding to the monitoring periods of all manufacturing pipelines are extracted from the working time length tables of all workers corresponding to the monitoring periods.
Based on the current monitoring period, the continuous working time length of each worker corresponding to each manufacturing assembly line is obtained from the working time length table of each worker corresponding to the monitoring period of each manufacturing assembly line, the continuous working time length of each worker corresponding to each manufacturing assembly line is obtained, and the value of the continuous working time length is recorded as LT i j 。
And extracting the reference continuous working time length corresponding to the worker from the database, and taking the value of the reference continuous working time length as T. It should be noted that the continuous working time length refers to a working time length in a unit time period, for example, a working time length of a certain staff is from eight points in the morning to five points in the afternoon, a rest time length in the midway is not counted, the continuous working time length of the staff is nine hours, a working time length of a certain staff is from ten points in the evening to five points in the next day, a rest time length in the midway is likewise not counted, and the continuous working time length of the staff is seven hours.
According to formula PL i j =LT i j Calculating fatigue value PL of each worker in current monitoring period corresponding to each manufacturing line i j 。
And working parameters of workers of each manufacturing assembly line corresponding to the current monitoring period are formed by the work efficiency value and the fatigue value of each worker in the current monitoring period of each manufacturing assembly line.
Preferably, the method and the device acquire the manufacturing video of each manufacturing assembly line corresponding to the current monitoring period in the factory, analyze the number of workers and the working time of each worker of each manufacturing assembly line corresponding to the current monitoring period from the manufacturing video, and analyze the work efficiency value and the fatigue value of each worker of each manufacturing assembly line corresponding to the current monitoring period from the manufacturing video, so that the real-time state of each worker in each manufacturing assembly line can be intuitively known, reliable data support is provided for the analysis of the effective evaluation value of each subsequent manufacturing assembly line corresponding to the current monitoring period, the reliability and the accuracy of the effective evaluation value analysis result of each manufacturing assembly line corresponding to the current monitoring period are improved, and the execution of the subsequent intelligent manufacturing schedule is further facilitated.
Step three, obtaining the manufacturing output of each manufacturing assembly line corresponding to the current monitoring period, analyzing the effective evaluation value of each manufacturing assembly line corresponding to the current monitoring period based on the manufacturing output of each manufacturing assembly line corresponding to the current monitoring period, the basic parameters of workers and the working parameters of workers, and obtaining the effective evaluation value of each manufacturing assembly line corresponding to the current monitoring period, wherein the specific analysis steps are as follows:
extracting the value of the manufacturing yield of each manufacturing pipeline corresponding to the current monitoring period, and recording the value as ZN i 。
Extracting the numerical value of the number of workers of each manufacturing assembly line corresponding to the current monitoring period from the basic parameters of the workers of each manufacturing assembly line corresponding to the current monitoring period, and recording the numerical value as GN i The method comprises the steps of carrying out a first treatment on the surface of the Simultaneously extracting the working time length GT of each worker in the current monitoring period corresponding to each manufacturing assembly line i j 。
From each manufacturing flowExtracting work efficiency values XL of all working workers in the current monitoring period corresponding to all manufacturing pipelines from the working parameters of the workers in the current monitoring period corresponding to the waterline i j And fatigue value PL of each worker i j 。
Calculating an effective evaluation value PZ of each manufacturing assembly line corresponding to the current monitoring period through a formula i The calculation formula is as follows:
，ZN 0 reference production yield, GN, expressed as the corresponding monitoring period stored in the database i 0 Expressed as a reference worker number, GT, corresponding to the ith manufacturing line stored in the database 0 The reference working time periods of the set worker corresponding to the monitoring periods are indicated, and a1, a2, a3, a4 and a5 are respectively indicated as set weight factors.
Preferably, the invention can timely find the manufacturing efficiency in the manufacturing assembly line by analyzing the effective evaluation value of each manufacturing assembly line corresponding to the current monitoring period based on the manufacturing yield, the basic parameters of workers and the working parameters of workers of each manufacturing assembly line corresponding to the current monitoring period, thereby providing a data basis for the subsequent optimized production line, greatly improving the production efficiency and the production capacity and reducing the cost and the risk.
Analyzing the efficiency level of each manufacturing assembly line corresponding to the current monitoring period based on the efficiency evaluation value of each manufacturing assembly line corresponding to the current monitoring period to obtain the efficiency level of each manufacturing assembly line corresponding to the current monitoring period, wherein the specific analysis mode is as follows: and matching the effective evaluation value of each manufacturing assembly line corresponding to the current monitoring period with the effective evaluation value interval of each set efficiency level to obtain the efficiency level of each manufacturing assembly line corresponding to the current monitoring period, wherein the efficiency level is specifically one, two, three and the like.
If the efficiency level of a certain manufacturing assembly line corresponding to the current monitoring period is three or equal, personnel movement parameters corresponding to the manufacturing assembly line are analyzed, and if the efficiency level of the certain manufacturing assembly line corresponding to the current monitoring period is two-level, personnel display parameters corresponding to the manufacturing assembly line are analyzed, so that execution parameters corresponding to the manufacturing assembly lines are formed, and the specific analysis mode is as follows:
if the efficiency level of a certain manufacturing assembly line corresponding to the current monitoring period is three, judging that the efficiency of the manufacturing assembly line corresponding to the current monitoring period is low, and performing difference between the efficiency evaluation value of the manufacturing assembly line corresponding to the current monitoring period and the set reference efficiency evaluation value to obtain an efficiency evaluation value of the manufacturing assembly line corresponding to the current monitoring period, and recording the efficiency evaluation value as a value to be adjusted of the manufacturing assembly line corresponding to the current monitoring period.
If the efficiency level of a certain manufacturing assembly line corresponding to the current monitoring period is equal, judging that the efficiency of the manufacturing assembly line corresponding to the current monitoring period is high, and performing difference between the efficiency evaluation value of the manufacturing assembly line corresponding to the current monitoring period and the set reference efficiency evaluation value to obtain an efficiency evaluation value of the manufacturing assembly line corresponding to the current monitoring period, and recording the efficiency evaluation value as a borrowing and regulating value of the manufacturing assembly line corresponding to the current monitoring period.
And screening the manufacturing pipelines with the first efficiency grade from the efficiency grades of the manufacturing pipelines corresponding to the current monitoring period, marking the manufacturing pipelines as first grade pipelines, and obtaining the borrowing value of each first grade pipeline corresponding to the current monitoring period.
And screening out manufacturing pipelines with the efficiency level of third grade from the efficiency levels of the manufacturing pipelines corresponding to the current monitoring period, marking the manufacturing pipelines as the third grade pipelines, and obtaining the required adjustment value of each third grade pipeline corresponding to the current monitoring period.
And matching the borrowing value of each first-class pipeline corresponding to the current monitoring period with the number of the mobilizable personnel corresponding to the set borrowing value to obtain the number of the mobilizable personnel of each first-class pipeline corresponding to the current monitoring period.
Matching the value to be adjusted of each three-equal-pipeline corresponding to the current monitoring period with the number of people to be moved corresponding to the set value to be adjusted, and obtaining the number of people to be moved of each three-equal-pipeline corresponding to the current monitoring period.
In a specific embodiment, if the number of mobilizers of a certain equal pipeline corresponding to the current monitoring period is equal to the number of mobilizers of a certain three equal pipeline corresponding to the current monitoring period, mobilizing the workers of the equal pipeline corresponding to the current monitoring period into the three equal pipeline according to the number of mobilizers of the equal pipeline so as to meet the requirement of mobilizers of the three equal pipeline.
And screening out the manufacturing pipelines with the efficiency level of two levels from the efficiency levels of the manufacturing pipelines corresponding to the current monitoring period, recording the manufacturing pipelines as two-level pipelines, acquiring the number of workers of the two-level pipelines corresponding to the current monitoring period, and taking the number of workers as personnel display parameters.
And fifthly, executing corresponding processing based on the execution parameters corresponding to each manufacturing pipeline.
In a specific embodiment, corresponding processing is performed based on the execution parameters corresponding to each manufacturing pipeline, for example, the number of the mobilizers corresponding to the current monitoring period of each first-class pipeline is summed, the number of the mobilizers corresponding to the current monitoring period of each third-class pipeline is not obtained, the number of the mobilizers corresponding to the current monitoring period of each third-class pipeline is summed, the number of the mobilizers is obtained, if the number of the mobilizers is greater than or equal to the number of the mobilizers, the total mobilizers are randomly distributed to each third-class pipeline, if the number of the mobilizers is less than the number of the mobilizers, the difference between the number of the mobilizers and the number of the mobilizers is calculated, meanwhile, the number of the three-class pipelines is obtained, if the number of the mobilizers is five, the difference between the number of the mobilizers and the number of the mobilizers is three, three people are extracted from the number of the total mobilizers, the remaining mobilizers are uniformly distributed according to the number of the mobilizers corresponding to the current monitoring period of each third-class pipeline, and the corresponding to the number of the three-class pipeline is simultaneously distributed to the number of the mobilizers.
Preferably, the invention analyzes the execution parameters corresponding to each manufacturing assembly line, thereby realizing intelligent scheduling of the manufacturing assembly line, improving the rationality and the utilization rate of resource allocation, improving the production efficiency of the manufacturing assembly line, greatly reducing the idle and waste of resources and improving the economic benefit of factories.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (3)
1. An intelligent manufacturing scheduling method with self-learning capability is characterized by comprising the following steps:
step one, acquiring production lines corresponding to a factory to obtain each production line corresponding to the factory, and simultaneously acquiring the production video of each production line corresponding to the factory in the current monitoring period to obtain the production video of each production line corresponding to the current monitoring period;
analyzing basic parameters of workers corresponding to the current monitoring period of each manufacturing assembly line based on the manufacturing video corresponding to the current monitoring period of each manufacturing assembly line to obtain basic parameters of the workers corresponding to the current monitoring period of each manufacturing assembly line, and analyzing working parameters of the workers in the current monitoring period of each manufacturing assembly line to obtain working parameters of the workers corresponding to the current monitoring period of each manufacturing assembly line;
step three, obtaining the manufacturing output of each manufacturing assembly line corresponding to the current monitoring period, analyzing the effective evaluation value of each manufacturing assembly line corresponding to the current monitoring period based on the manufacturing output of each manufacturing assembly line corresponding to the current monitoring period, the basic parameters of workers and the working parameters of workers, and obtaining the effective evaluation value of each manufacturing assembly line corresponding to the current monitoring period, wherein the specific analysis mode is as follows:
extracting the value of the manufacturing yield of each manufacturing pipeline corresponding to the current monitoring period, and recording the value as ZN i I is denoted as the number of each manufacturing line, i=1, 2,..n, n is denoted as the total number of manufacturing line numbers;
from each systemExtracting the numerical value of the number of workers of each manufacturing assembly line corresponding to the current monitoring period from the basic parameters of the workers of the manufacturing assembly line corresponding to the current monitoring period, and recording the numerical value as GN i ；
Extracting the number of finished products of each worker in the current monitoring period corresponding to each manufacturing assembly line from the manufacturing video of each manufacturing assembly line corresponding to the current monitoring period to obtain the number of finished products of each worker in the current monitoring period corresponding to each manufacturing assembly line;
extracting the working time length of each worker in each manufacturing assembly line corresponding to the current monitoring period from the basic parameters of the worker in each manufacturing assembly line corresponding to the current monitoring period, and taking the value as GT i j The method comprises the steps of carrying out a first treatment on the surface of the j represents the number of each worker, j=1, 2,..m, m represents the total number of worker numbers;
matching the working time length of each worker in the current monitoring period corresponding to each manufacturing assembly line with the number of the reference finished products corresponding to the set working time length to obtain the number of the reference finished products of each worker in the current monitoring period corresponding to each manufacturing assembly line, taking the number of the reference finished products, and recording the number as WC ij 0 ；
According to formula XL i j =(WC i j /GT i j )×z1+(WC i j /WC ij 0 )×z2+(1/(|GT i j -GT 0 Calculating work efficiency value XL of each worker in the current monitoring period corresponding to each manufacturing line by using |+1) x z3 i j ，WC i j Expressed as the number of finished products of the ith manufacturing line corresponding to the jth worker in the current monitoring period, GT 0 The reference working time length of the set worker corresponding to the monitoring period is represented, and z1, z2 and z3 are represented as set weight factors;
extracting working time length tables of all workers corresponding to the monitoring periods from a database, and extracting working time length tables of all workers corresponding to the monitoring periods of all manufacturing pipelines from the working time length tables of all workers corresponding to the monitoring periods;
from each manufacturing line based on current monitoring periodThe continuous working time length of each worker corresponding to each manufacturing assembly line is obtained from the working time length table of each worker corresponding to the monitoring period, the continuous working time length of each worker corresponding to each manufacturing assembly line is obtained, the numerical value is taken, and the numerical value is recorded as LT i j Extracting a reference continuous working time length corresponding to a worker from a database, and taking the value of the reference continuous working time length as T; according to formula PL i j =LT i j Calculating fatigue value PL of each worker in current monitoring period corresponding to each manufacturing line i j ；
Working parameters of workers corresponding to the current monitoring period of each manufacturing assembly line are formed by work efficiency values and fatigue values of the workers corresponding to the current monitoring period of each manufacturing assembly line;
calculating the effective evaluation value of each manufacturing assembly line corresponding to the current monitoring period through a formulaCalculation formula，ZN 0 Reference production yield, GN, expressed as the corresponding monitoring period stored in the database i 0 Expressed as a reference worker number, GT, corresponding to the ith manufacturing line stored in the database 0 The reference working time length of the set worker corresponding to the monitoring period is represented as a1, a2, a3, a4 and a5, and the set working time length is represented as a set weight factor respectively;
analyzing the efficiency grade of each manufacturing assembly line corresponding to the current monitoring period based on the efficiency evaluation value of each manufacturing assembly line corresponding to the current monitoring period to obtain the efficiency grade of each manufacturing assembly line corresponding to the current monitoring period, analyzing personnel movement parameters corresponding to a certain manufacturing assembly line if the efficiency grade of the manufacturing assembly line corresponding to the current monitoring period is three or equal, and analyzing personnel display parameters corresponding to the manufacturing assembly line if the efficiency grade of the manufacturing assembly line corresponding to the current monitoring period is equal, thereby forming execution parameters corresponding to each manufacturing assembly line;
step five, executing corresponding processing based on the execution parameters corresponding to each manufacturing assembly line;
the basic parameters of workers corresponding to the current monitoring period of each manufacturing assembly line are analyzed, and the specific analysis mode is as follows:
analyzing the manufacturing video of each manufacturing assembly line corresponding to the current monitoring period to obtain manufacturing images of each manufacturing assembly line corresponding to each monitoring time point in the current monitoring period;
extracting face images of workers of each manufacturing assembly line corresponding to each monitoring time point in the current monitoring time period from the manufacturing images of each monitoring time point of each manufacturing assembly line corresponding to the current monitoring time period, comparing the face images of the workers of each monitoring time point with each other, and removing face images of the same workers from the face images to obtain face images of each worker of each manufacturing assembly line corresponding to the current monitoring time period, so that the number of workers of each manufacturing assembly line corresponding to the current monitoring time period is counted to be used as the number of workers of each manufacturing assembly line corresponding to the current monitoring time period;
acquiring face images of all working workers in the current monitoring period corresponding to all manufacturing pipelines, matching the face images of all working workers in the current monitoring period corresponding to all manufacturing pipelines with the face images of workers in the corresponding monitoring time points in the manufacturing pipelines, if the face images of a certain working worker are successfully matched with the face images of the workers in the certain monitoring time points, recording the monitoring time points as working time points, thus obtaining all working time points of all working workers in the current monitoring period corresponding to all manufacturing pipelines, integrating adjacent working time points, obtaining all working time periods of all working workers in the current monitoring period corresponding to all manufacturing pipelines, and counting the total duration of all working time periods of all working workers in the current monitoring period corresponding to all manufacturing pipelines as the working time duration of all working workers in the current monitoring period corresponding to all manufacturing pipelines;
the number of workers corresponding to the current monitoring period of each manufacturing assembly line and the working time length of each worker form basic parameters of the workers corresponding to the current monitoring period of each manufacturing assembly line;
if the efficiency level of a certain manufacturing assembly line corresponding to the current monitoring period is three or equal, analyzing personnel movement parameters corresponding to the manufacturing assembly line, wherein the specific analysis mode is as follows:
if the efficiency level of a certain manufacturing assembly line corresponding to the current monitoring period is three, the efficiency evaluation value of the manufacturing assembly line corresponding to the current monitoring period is differenced with the set reference efficiency evaluation value, so that the efficiency evaluation value of the manufacturing assembly line corresponding to the current monitoring period is obtained and recorded as a value to be adjusted of the manufacturing assembly line corresponding to the current monitoring period;
if the efficiency grade of a certain manufacturing assembly line corresponding to the current monitoring period is equal, performing difference between the efficiency evaluation value of the manufacturing assembly line corresponding to the current monitoring period and the set reference efficiency evaluation value to obtain an efficiency evaluation value of the manufacturing assembly line corresponding to the current monitoring period, and recording the efficiency evaluation value as a borrowing and regulating value of the manufacturing assembly line corresponding to the current monitoring period;
screening out manufacturing pipelines with the first efficiency grade from the efficiency grades of the manufacturing pipelines corresponding to the current monitoring period, marking the manufacturing pipelines as first grade pipelines, and obtaining borrowing and regulating values of the first grade pipelines corresponding to the current monitoring period;
screening out manufacturing pipelines with the efficiency level of third class from the efficiency levels of the manufacturing pipelines corresponding to the current monitoring period, marking the manufacturing pipelines as the third class pipelines, and obtaining the value required to be adjusted of each third class pipeline corresponding to the current monitoring period;
matching the borrowing value of each first-class pipeline corresponding to the current monitoring period with the number of the mobilizable personnel corresponding to the set borrowing value to obtain the number of the mobilizable personnel of each first-class pipeline corresponding to the current monitoring period;
matching the value to be adjusted of each three-equal-pipeline corresponding to the current monitoring period with the number of people to be moved corresponding to the set value to be adjusted, and obtaining the number of people to be moved of each three-equal-pipeline corresponding to the current monitoring period.
2. The intelligent manufacturing scheduling method with self-learning capability according to claim 1, wherein the analyzing the efficiency level of each manufacturing pipeline corresponding to the current monitoring period based on the efficiency evaluation value of each manufacturing pipeline corresponding to the current monitoring period is performed to obtain the efficiency level of each manufacturing pipeline corresponding to the current monitoring period by the following specific analysis method:
and matching the effective evaluation value of each manufacturing assembly line corresponding to the current monitoring period with the effective evaluation value interval of each set efficiency level to obtain the efficiency level of each manufacturing assembly line corresponding to the current monitoring period, wherein the efficiency level is specifically one, two, three and the like.
3. The intelligent manufacturing scheduling method with self-learning capability according to claim 1, wherein if the efficiency level of a certain manufacturing line corresponding to the current monitoring period is equal to two, the personnel display parameters corresponding to the manufacturing line are analyzed in the following specific analysis modes:
and screening out the manufacturing pipelines with the efficiency level of two levels from the efficiency levels of the manufacturing pipelines corresponding to the current monitoring period, recording the manufacturing pipelines as two-level pipelines, acquiring the number of workers of the two-level pipelines corresponding to the current monitoring period, and taking the number of workers as personnel display parameters.
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