CN114444980B - Control method and device for intelligent factory production equipment based on 5G technology - Google Patents

Control method and device for intelligent factory production equipment based on 5G technology Download PDF

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CN114444980B
CN114444980B CN202210358167.XA CN202210358167A CN114444980B CN 114444980 B CN114444980 B CN 114444980B CN 202210358167 A CN202210358167 A CN 202210358167A CN 114444980 B CN114444980 B CN 114444980B
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CN114444980A (en
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苏横军
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Nanchang Lingxing Information Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313—Resource planning in a project environment
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06316—Sequencing of tasks or work
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis

Abstract

The invention discloses a management and control method and a management and control device for intelligent factory production equipment based on a 5G technology. The invention fully considers the processing capacity and the production income of different production equipment, can ensure that the finally selected production equipment is optimal, and can improve the production efficiency.

Description

Control method and device for intelligent factory production equipment based on 5G technology
Technical Field
The invention relates to the technical field of data processing, in particular to a management and control method and device of intelligent factory production equipment based on a 5G technology.
Background
The intelligent factory is a new stage of modern factory information development, the intelligent factory is based on a digital factory, information management and service are enhanced by using the technology of the Internet of things and the equipment monitoring technology, production line data are collected timely and correctly by mastering production and marketing processes, improving the controllability of a production process, reducing manual intervention on a production line, reasonably planning production plans and scheduling production, and emerging technologies such as green intelligent means, intelligent systems and the like are integrated, so that a high-efficiency, energy-saving, environment-friendly and environment-friendly humanized factory is constructed.
When processing a certain type of part in the wisdom mill, need a plurality of production facility to process according to precedence order usually. For example, for X-type parts, it is necessary to perform machining by the apparatus a first, and after the apparatus a is finished, the apparatus B or the apparatus C assigned to the next step is used for machining, and there is a difference in machining capacity between the apparatus B and the apparatus C.
However, in the prior art, an effective production equipment management and control method is lacked, so that the X-type parts cannot be allocated to the optimal equipment in the next process for processing after being processed by the equipment a, and the production efficiency is finally affected.
Disclosure of Invention
Therefore, an embodiment of the invention provides a management and control method for intelligent factory production equipment based on a 5G technology, so as to solve the problem that in the prior art, parts cannot be allocated to optimal equipment in the next process for processing, and the production efficiency is affected.
The control method of the smart factory production equipment based on the 5G technology according to one embodiment of the invention is applied to a control server arranged in a smart factory, the smart factory at least comprises first production equipment, second production equipment and third production equipment, the first production equipment, the second production equipment and the third production equipment are respectively in wireless connection with the control server through a 5G network, and the control server is used for distributing a first part processed by the first production equipment to the second production equipment or the third production equipment, and the method comprises the following steps:
when the first part processed by the first production equipment is distributed to the second production equipment, acquiring a second processing capacity value corresponding to the processing of the first part by the second production equipment and acquiring a second production income value distributed to the processing of the second production equipment;
When the first part processed by the first production equipment is distributed to the third production equipment, acquiring a third processing capacity value corresponding to the first part processed by the third production equipment, and acquiring a third production yield value distributed to the third production equipment for processing;
calculating a second total benefit value of the second production equipment according to the second processing capacity value and the second production benefit value, and calculating a third total benefit value of the third production equipment according to the third processing capacity value and the third production benefit value;
comparing the second total benefit value with the third total benefit value;
when the second total benefit value is larger than the third total benefit value, distributing the first part processed by the first production equipment to the second production equipment for processing;
and when the third total benefit value is larger than the second total benefit value, distributing the first part processed by the first production equipment to the third production equipment for processing.
According to the control method of the smart factory production equipment based on the 5G technology, when a first part is allocated to second production equipment, a second processing capacity value corresponding to the processing of the first part by the second production equipment and a second production income value corresponding to the processing of the second production equipment are obtained, when the first part is allocated to third production equipment, a third processing capacity value corresponding to the processing of the first part by the third production equipment and a third production income value corresponding to the processing of the third production equipment are obtained, then a second total benefit value of the second production equipment and a third total benefit value of the third production equipment are calculated, and finally the production equipment with the maximum total benefit value is selected to process the parts of the same type.
The invention fully considers the processing capacity of different production equipment and the generated production income, can ensure that the finally selected production equipment is optimal, and can improve the production efficiency. In addition, the first production equipment, the second production equipment and the third production equipment are in wireless connection with the management and control server through the 5G network respectively, the method and the system have the advantages of being high in speed, low in time delay and high in stability, and reliability of network communication during management and control of the production equipment can be guaranteed.
In addition, the control method for the intelligent factory production equipment based on the 5G technology according to the above embodiment of the present invention may further have the following additional technical features:
further, in the step of obtaining a second machining capability value corresponding to the machining of the first part by the second production equipment, the second machining capability value is calculated by adopting the following formula:
Figure 809979DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 258278DEST_PATH_IMAGE002
indicating the second processing capabilityThe value of the one or more of the one,
Figure 319906DEST_PATH_IMAGE003
indicating a quality value corresponding to the second production equipment processing the first part,
Figure 980694DEST_PATH_IMAGE004
a standard value representing the quality of machining,
Figure 326225DEST_PATH_IMAGE005
a weight coefficient indicating a process quality value,
Figure 679846DEST_PATH_IMAGE006
representing a machining time value required for the second production device to machine the first part,
Figure 478037DEST_PATH_IMAGE007
represents the average machining time value corresponding to all production equipment machining the first part,
Figure 457364DEST_PATH_IMAGE008
A weight coefficient indicating a value of the machining time,
Figure 657401DEST_PATH_IMAGE009
a basic score corresponding to the processing time is shown,
Figure 916344DEST_PATH_IMAGE010
representing the additional index value corresponding to the first part processed by the second production equipment,
Figure 201832DEST_PATH_IMAGE011
a weight coefficient representing an additional index value,
Figure 220734DEST_PATH_IMAGE012
；
in the step of obtaining a third machining capacity value corresponding to the machining of the first part by the third production equipment, the third machining capacity value is calculated by adopting the following formula:
Figure 275278DEST_PATH_IMAGE013
wherein the content of the first and second substances,
Figure 236281DEST_PATH_IMAGE014
represents the third machining capability value and,
Figure 9065DEST_PATH_IMAGE015
a quality value indicative of a quality of the first part as machined by the third production equipment,
Figure 549767DEST_PATH_IMAGE016
representing a machining time value required for said third production apparatus to machine the first part,
Figure 976594DEST_PATH_IMAGE017
and representing an additional index value corresponding to the first part machined by the third production equipment.
Further, in the step of obtaining a second revenue value for the second production equipment, the second revenue value is calculated by using the following formula:
Figure 842919DEST_PATH_IMAGE018
Figure 102999DEST_PATH_IMAGE019
wherein the content of the first and second substances,
Figure 712972DEST_PATH_IMAGE020
representing the second value of the production revenue,
Figure 492840DEST_PATH_IMAGE021
representing an initial profit value of the first production device,
Figure 530066DEST_PATH_IMAGE022
a weight coefficient representing an initial profit value of the first production apparatus, an
Figure 11863DEST_PATH_IMAGE023
，
Figure 425527DEST_PATH_IMAGE024
Representing an allocation revenue value of the second production device,
Figure 558437DEST_PATH_IMAGE025
representing an initial profit value of the second production device,
Figure 32144DEST_PATH_IMAGE026
A weight coefficient representing an initial profit value of the second production equipment;
in the step of obtaining a third production profit value allocated to the third production equipment for processing, the third production profit value is calculated by using the following formula:
Figure 1237DEST_PATH_IMAGE027
Figure 953012DEST_PATH_IMAGE028
wherein the content of the first and second substances,
Figure 707473DEST_PATH_IMAGE029
representing the third production profit value and,
Figure 86501DEST_PATH_IMAGE030
representing an allocated revenue value for the third production device,
Figure 542891DEST_PATH_IMAGE031
representing an initial profit value of the third production device,
Figure 298357DEST_PATH_IMAGE032
a weighting factor representing an initial profit value of the third production device.
Further, in the step of calculating a second total benefit value of the second production equipment according to the second processing capacity value and the second production benefit value, the following formula is adopted to calculate the second total benefit value:
Figure 625433DEST_PATH_IMAGE033
wherein the content of the first and second substances,
Figure 693140DEST_PATH_IMAGE034
the second total benefit value is represented by a second total benefit value,
Figure 636825DEST_PATH_IMAGE035
a weight coefficient representing a machining capability value,
Figure 195982DEST_PATH_IMAGE036
representing a production profit value weight coefficient;
in the step of calculating a third total benefit value of the third production equipment according to the third processing capacity value and the third production benefit value, the following formula is adopted to calculate the third total benefit value:
Figure 908723DEST_PATH_IMAGE037
wherein the content of the first and second substances,
Figure 380287DEST_PATH_IMAGE038
representing the third total benefit value.
Further, the method further comprises:
when the first part processed by the first production equipment is distributed to the second production equipment, judging whether the second production equipment can successfully finish processing the first part;
If the second production equipment cannot successfully finish machining the first part, further judging whether the machining of the first part cannot be successfully finished due to equipment failure;
and if the machining of the first part cannot be successfully completed due to the equipment fault, calculating a second machining capacity value according to the fault type.
Further, the method for calculating the second machining capability value according to the fault type includes the steps of:
the method for calculating the second machining capability value according to the fault type includes the steps of:
acquiring at least one corresponding background fault when the second production equipment fails, wherein each background fault corresponds to a background fault type;
judging whether the background fault type has an unrepairable fault or not;
if not, acquiring the fault repair time corresponding to each background fault type, and calculating to obtain the second machining capacity value according to the fault repair time.
Further, the expression of the second processability value is:
Figure 545689DEST_PATH_IMAGE039
wherein the content of the first and second substances,
Figure 642958DEST_PATH_IMAGE002
a second machining capability value is indicated,
Figure 475785DEST_PATH_IMAGE040
indicating a standard process capability value of the second production equipment,
Figure 367518DEST_PATH_IMAGE041
is shown as
Figure 269483DEST_PATH_IMAGE042
The fault impact value corresponding to the seed fault type,
Figure 170443DEST_PATH_IMAGE043
Indicating the number of types of faults that actually occur,
Figure 592197DEST_PATH_IMAGE044
denotes the first
Figure 920411DEST_PATH_IMAGE042
The fault repair time corresponding to the type of fault,
Figure 811137DEST_PATH_IMAGE045
indicating the average standard repair time when a failure occurred.
Further, after the step of determining whether the machining of the first part cannot be successfully completed due to the equipment failure, the method further includes:
and if the machining of the first part cannot be successfully completed due to non-equipment failure, the second machining capacity value is-1.
In addition, an embodiment of the invention further provides a management and control device of intelligent factory production equipment based on a 5G technology, so as to solve the problem that in the prior art, parts cannot be allocated to optimal equipment in the next process for processing, and production efficiency is affected.
The control device of the smart factory production equipment based on the 5G technology according to one embodiment of the invention is applied to a control server arranged in a smart factory, the smart factory at least comprises first production equipment, second production equipment and third production equipment, the first production equipment, the second production equipment and the third production equipment are respectively in wireless connection with the control server through a 5G network, the control server is used for distributing a first part processed by the first production equipment to the second production equipment or the third production equipment, and the control device comprises:
The first obtaining module is used for obtaining a second processing capacity value corresponding to the second production equipment for processing the first part when the first part processed by the first production equipment is distributed to the second production equipment, and obtaining a second production income value distributed to the second production equipment for processing;
the second obtaining module is used for obtaining a third processing capacity value corresponding to the first part processed by the third production equipment when the first part processed by the first production equipment is distributed to the third production equipment, and obtaining a third production income value distributed to the third production equipment for processing;
the first calculation module is used for calculating a second total benefit value of the second production equipment according to the second processing capacity value and the second production benefit value, and calculating a third total benefit value of the third production equipment according to the third processing capacity value and the third production benefit value;
the comparison module is used for comparing the second total benefit value with the third total benefit value;
the first distribution module is used for distributing the first part processed by the first production equipment to the second production equipment for processing when the second total benefit value is greater than the third total benefit value;
And the second distributing module is used for distributing the first part processed by the first production equipment to the third production equipment for processing when the third total benefit value is greater than the second total benefit value.
According to the control device of the smart factory production equipment based on the 5G technology, when a first part is distributed to second production equipment, a second processing capacity value corresponding to the processing of the first part by the second production equipment and a second production income value corresponding to the processing of the second production equipment are obtained, when the first part is distributed to third production equipment, a third processing capacity value corresponding to the processing of the first part by the third production equipment and a third production income value corresponding to the processing of the third production equipment are obtained, then a second total benefit value of the second production equipment and a third total benefit value of the third production equipment are calculated, and finally the production equipment with the largest total benefit value is selected to process the parts of the same type.
The invention fully considers the processing capacity of different production equipment and the generated production income, can ensure that the finally selected production equipment is optimal, and can improve the production efficiency. In addition, the first production equipment, the second production equipment and the third production equipment are in wireless connection with the management and control server through the 5G network respectively, the method and the system have the advantages of being high in speed, low in time delay and high in stability, and reliability of network communication during management and control of the production equipment can be guaranteed.
In addition, the management and control device for intelligent factory production equipment based on the 5G technology according to the above embodiment of the present invention may further have the following additional technical features:
further, the first obtaining module is configured to calculate a second machining capability value by using the following formula:
Figure 515788DEST_PATH_IMAGE001
wherein, the first and the second end of the pipe are connected with each other,
Figure 792049DEST_PATH_IMAGE002
represents the second value of the machining capability,
Figure 291163DEST_PATH_IMAGE003
indicating a quality value corresponding to the second production equipment processing the first part,
Figure 918454DEST_PATH_IMAGE004
a standard value representing the quality of machining,
Figure 413413DEST_PATH_IMAGE005
a weight coefficient indicating a process quality value,
Figure 809760DEST_PATH_IMAGE006
representing a machining time value required for the second production device to machine the first part,
Figure 479775DEST_PATH_IMAGE007
represents the average machining time value corresponding to all production equipment machining the first part,
Figure 328783DEST_PATH_IMAGE008
a weight coefficient indicating a value of the machining time,
Figure 860389DEST_PATH_IMAGE009
a basic score corresponding to the processing time is shown,
Figure 376821DEST_PATH_IMAGE010
representing the additional index value corresponding to the first part processed by the second production equipment,
Figure 217738DEST_PATH_IMAGE011
a weight coefficient representing an additional index value,
Figure 819621DEST_PATH_IMAGE012
；
the second obtaining module is configured to calculate a third machining capability value using the following equation:
Figure 653454DEST_PATH_IMAGE013
wherein the content of the first and second substances,
Figure 758813DEST_PATH_IMAGE014
represents the third machining capability value and,
Figure 770631DEST_PATH_IMAGE015
a quality value indicative of a quality of the first part as machined by the third production equipment,
Figure 594231DEST_PATH_IMAGE016
representing a machining time value required for said third production apparatus to machine the first part,
Figure 982487DEST_PATH_IMAGE017
And representing additional index values corresponding to the first part machined by the third production equipment.
Drawings
The above and/or additional aspects and advantages of embodiments of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of a method for managing and controlling smart factory production equipment based on 5G technology according to an embodiment of the invention;
FIG. 2 is a flowchart of a method for managing and controlling smart factory production equipment based on 5G technology according to another embodiment of the present invention;
fig. 3 is a schematic structural diagram of a management and control apparatus of an intelligent factory production facility based on 5G technology according to an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a control method for a smart factory production device based on a 5G technology according to an embodiment of the present invention is applied to a control server disposed in a smart factory, where the smart factory at least includes a first production device, a second production device, and a third production device, the first production device, the second production device, and the third production device are wirelessly connected to the control server through a 5G network, respectively, the control server is configured to allocate a first part processed by the first production device to the second production device or the third production device, and the method includes steps S101 to S106:
s101, when the first part processed by the first production equipment is distributed to the second production equipment, the second processing capacity value corresponding to the first part processed by the second production equipment is obtained, and the second production income value distributed to the second production equipment for processing is obtained.
Wherein, the second processing capacity value is calculated by the following formula:
Figure 958664DEST_PATH_IMAGE001
wherein, the first and the second end of the pipe are connected with each other,
Figure 141384DEST_PATH_IMAGE002
represents the second value of the machining capability,
Figure 452279DEST_PATH_IMAGE003
indicating a quality value corresponding to the second production equipment processing the first part,
Figure 378647DEST_PATH_IMAGE004
a standard value representing the quality of machining,
Figure 699077DEST_PATH_IMAGE005
A weight coefficient indicating a process quality value,
Figure 318277DEST_PATH_IMAGE006
representing a machining time value required for the second production device to machine the first part,
Figure 116469DEST_PATH_IMAGE007
represents the average machining time value corresponding to all production equipment machining the first part,
Figure 580948DEST_PATH_IMAGE008
a weight coefficient indicating a value of the machining time,
Figure 515406DEST_PATH_IMAGE009
a basic score corresponding to the processing time is shown,
Figure 56240DEST_PATH_IMAGE010
representing the additional index value corresponding to the first part processed by the second production equipment,
Figure 341728DEST_PATH_IMAGE011
a weight coefficient representing an additional index value,
Figure 609898DEST_PATH_IMAGE012
。
note that, for the sake of convenience of calculation and comparison, the machining quality value, the machining time value, and the additional index value are normalized, and therefore, the machining quality value, the machining time value, and the additional index value have no unit. In this embodiment, the machining quality value is used to represent the quality of the machined part, and the higher the quality of the machined part is, the larger the machining capacity value is. Conversely, the poorer the quality of the part machining, the smaller the machining capacity value.
The machining time value is used for representing the length of the machining time of the part, and the longer the machining time of the part is, the smaller the machining time value is; conversely, the shorter the time for machining the part, the greater the machining time value. The additional index value is used for representing the performance of the parts except the machining quality, and the additional index value is larger when the machining performance of the parts is higher; conversely, the lower the machinability of the part, the smaller the value of the additive index.
In addition, the weight coefficient of the processing quality value is adjusted
Figure 664442DEST_PATH_IMAGE005
Weight coefficient of machining time value
Figure 874712DEST_PATH_IMAGE008
Weighting factor for adding index value
Figure 381917DEST_PATH_IMAGE011
The ratio of the machining quality value, the machining time value, and the additional index value can be adjusted. When in specific implementation, the method can be flexibly adjusted according to the types of parts, the factory quality requirement, the processing time requirement and the like
Figure 188199DEST_PATH_IMAGE005
、
Figure 362828DEST_PATH_IMAGE008
、
Figure 979886DEST_PATH_IMAGE011
The size of (2).
In this embodiment, the second revenue generation value is calculated by using the following formula:
Figure 239966DEST_PATH_IMAGE018
Figure 849939DEST_PATH_IMAGE019
wherein the content of the first and second substances,
Figure 613495DEST_PATH_IMAGE020
representing the second value of the production revenue,
Figure 650721DEST_PATH_IMAGE021
representing an initial profit value of the first production device,
Figure 650295DEST_PATH_IMAGE022
a weight coefficient representing an initial profit value of the first production apparatus, an
Figure 63959DEST_PATH_IMAGE023
，
Figure 682022DEST_PATH_IMAGE024
Representing an allocation revenue value of the second production device,
Figure 155728DEST_PATH_IMAGE025
representing an initial profit value of the second production device,
Figure 875554DEST_PATH_IMAGE026
a weighting factor representing an initial profit value for the second production facility.
In this embodiment, for convenience of calculation and comparison, the initial profit value of the first production device and the initial profit value of the second production device are also normalized and have no unit.
And S102, when the first part processed by the first production equipment is distributed to the third production equipment, obtaining a third processing capacity value obtained by processing the first part by the third production equipment, and obtaining a third production income value distributed to the third production equipment for processing.
Similarly, in this embodiment, the third machining capability value is calculated by using the following formula:
Figure 827329DEST_PATH_IMAGE013
wherein, the first and the second end of the pipe are connected with each other,
Figure 831057DEST_PATH_IMAGE014
represents the third machining capability value and,
Figure 210086DEST_PATH_IMAGE015
a quality value indicative of a quality of the first part as machined by the third production equipment,
Figure 400896DEST_PATH_IMAGE016
representing a machining time value required for said third production apparatus to machine the first part,
Figure 405630DEST_PATH_IMAGE017
and representing an additional index value corresponding to the first part machined by the third production equipment.
Similarly, in this embodiment, the third production yield value is calculated by using the following formula:
Figure 263865DEST_PATH_IMAGE027
Figure 79374DEST_PATH_IMAGE028
wherein the content of the first and second substances,
Figure 23059DEST_PATH_IMAGE029
representing the third production profit value and,
Figure 67370DEST_PATH_IMAGE030
representing an allocated revenue value for the third production device,
Figure 780111DEST_PATH_IMAGE031
representing an initial profit value of the third production device,
Figure 500942DEST_PATH_IMAGE032
a weighting factor representing an initial profit value of the third production device.
S103, calculating a second total benefit value of the second production equipment according to the second processing capacity value and the second production benefit value, and calculating a third total benefit value of the third production equipment according to the third processing capacity value and the third production benefit value.
Wherein, the second total benefit value is calculated by the following formula:
Figure 931923DEST_PATH_IMAGE033
wherein the content of the first and second substances,
Figure 281390DEST_PATH_IMAGE034
the second total benefit value is represented by a second total benefit value,
Figure 848637DEST_PATH_IMAGE035
a weight coefficient representing a machining capability value,
Figure 5949DEST_PATH_IMAGE036
representing a production revenue value weight coefficient.
Wherein by adjusting
Figure 924227DEST_PATH_IMAGE035
And
Figure 294028DEST_PATH_IMAGE036
the ratio of the processing capacity value and the production income value in the total benefit value can be adjusted.
Similarly, the third total benefit value is calculated by using the following formula:
Figure 732094DEST_PATH_IMAGE037
wherein, the first and the second end of the pipe are connected with each other,
Figure 60307DEST_PATH_IMAGE038
representing the third total benefit value.
And S104, comparing the second total benefit value with the third total benefit value.
And S105, when the second total benefit value is larger than the third total benefit value, distributing the first part processed by the first production equipment to the second production equipment for processing.
S106, when the third total benefit value is larger than the second total benefit value, distributing the first part processed by the first production equipment to the third production equipment for processing.
In the embodiment, the first part is used as a test object, and the optimal production equipment is selected by actually processing the first part, so that the optimal production equipment can be directly called when a second part with the same type as the first part is processed subsequently.
Referring to fig. 2, as an alternative embodiment, the method further includes:
s201, when the first part processed by the first production equipment is distributed to the second production equipment, judging whether the second production equipment can successfully finish processing the first part;
S202, if the second production equipment cannot successfully finish machining the first part, further judging whether the machining of the first part cannot be successfully finished due to equipment failure;
and S203, if the machining of the first part cannot be successfully completed due to the equipment fault, calculating a second machining capacity value according to the fault type.
Specifically, the method for calculating the second machining capability value according to the fault type includes the following steps:
s2031, acquiring at least one corresponding background fault when the second production equipment fails, wherein each background fault corresponds to a background fault type.
S2032, judging whether the background fault type has the unrepairable fault.
S2033, if not, acquiring fault repairing time corresponding to each background fault type, and calculating according to the fault repairing time to obtain the second machining capacity value.
Wherein, the second processing ability value is calculated by adopting the following formula:
Figure 200301DEST_PATH_IMAGE039
wherein, the first and the second end of the pipe are connected with each other,
Figure 904952DEST_PATH_IMAGE040
indicating a standard process capability value of the second production equipment,
Figure 430480DEST_PATH_IMAGE041
is shown as
Figure 929595DEST_PATH_IMAGE042
The fault impact value corresponding to the seed fault type,
Figure 556885DEST_PATH_IMAGE043
indicating the number of types of faults that actually occur,
Figure 534068DEST_PATH_IMAGE044
is shown as
Figure 946726DEST_PATH_IMAGE042
The fault repair time corresponding to the seed fault type,
Figure 616742DEST_PATH_IMAGE045
Indicating the average standard repair time when a failure occurred.
Further, as a specific example, if the machining of the first part cannot be successfully completed due to a non-equipment failure, the second machining capability value takes-1.
It is noted that if the second production apparatus can successfully complete the machining of the first part, the second machining capability value is calculated in accordance with the method provided in step S101. If the second production equipment cannot successfully finish machining the first part, it is first determined whether the machining of the first part cannot be successfully finished due to the equipment failure, and if it is determined that the machining of the first part cannot be successfully finished due to the equipment failure, the second machining capability value is calculated according to the method provided in step S203. If the machining of the first part cannot be successfully completed (for example, the performance of the machine cannot satisfy the machining of the first part) due to a non-machine failure, the second machining capability value is set to-1.
The above contents are the calculation process of the second machining capability value when the second production equipment cannot successfully complete the machining of the first part, and for the third production equipment, when the third production equipment cannot successfully complete the machining of the first part, the calculation principle of the third machining capability value is the same as above, and is not described herein again.
In summary, according to the management and control of the smart factory production device based on the 5G technology provided in this embodiment, when the first part is allocated to the second production device, the second processing capability value corresponding to the processing of the first part by the second production device, the second production profit value allocated to the second production device for processing, and when the first part is allocated to the third production device, the third processing capability value corresponding to the processing of the first part by the third production device, and the third production profit value corresponding to the processing of the third production device are obtained, then the second total benefit value of the second production device and the third total benefit value of the third production device are calculated, and finally the production device with the largest total benefit value is selected to process the parts of the same type.
The invention fully considers the processing capacity and the production income of different production equipment, can ensure that the finally selected production equipment is optimal, and can improve the production efficiency. In addition, the first production equipment, the second production equipment and the third production equipment are in wireless connection with the management and control server through the 5G network respectively, the method and the system have the advantages of being high in speed, low in time delay and high in stability, and reliability of network communication during management and control of the production equipment can be guaranteed.
Referring to fig. 3, a control apparatus for a smart factory production device based on a 5G technology according to an embodiment of the present invention is applied to a control server disposed in a smart factory, where the smart factory at least includes a first production device, a second production device, and a third production device, the first production device, the second production device, and the third production device are wirelessly connected to the control server through a 5G network, respectively, and the control server is configured to allocate a first part processed by the first production device to the second production device or the third production device, where the apparatus includes:
the first obtaining module is used for obtaining a second processing capacity value corresponding to the second production equipment for processing the first part when the first part processed by the first production equipment is distributed to the second production equipment, and obtaining a second production income value distributed to the second production equipment for processing;
the second obtaining module is used for obtaining a third processing capacity value corresponding to the first part processed by the third production equipment when the first part processed by the first production equipment is distributed to the third production equipment, and obtaining a third production income value distributed to the third production equipment for processing;
The first calculation module is used for calculating a second total benefit value of the second production equipment according to the second processing capacity value and the second production benefit value, and calculating a third total benefit value of the third production equipment according to the third processing capacity value and the third production benefit value;
the comparison module is used for comparing the second total benefit value with the third total benefit value;
the first distribution module is used for distributing the first part processed by the first production equipment to the second production equipment for processing when the second total benefit value is greater than the third total benefit value;
and the second distribution module is used for distributing the first part processed by the first production equipment to the third production equipment for processing when the third total benefit value is greater than the second total benefit value.
In this embodiment, the first obtaining module is configured to calculate the second machining capability value by using the following formula:
Figure 465749DEST_PATH_IMAGE001
wherein, the first and the second end of the pipe are connected with each other,
Figure 246624DEST_PATH_IMAGE002
indicating the second machining capability value and,
Figure 763056DEST_PATH_IMAGE003
indicating a quality value corresponding to the second production equipment processing the first part,
Figure 856170DEST_PATH_IMAGE004
a standard value representing the quality of machining,
Figure 458052DEST_PATH_IMAGE005
a weight coefficient indicating a process quality value,
Figure 777038DEST_PATH_IMAGE006
Representing a machining time value required for the second production device to machine the first part,
Figure 147977DEST_PATH_IMAGE007
represents the average machining time value corresponding to all production equipment machining the first part,
Figure 910528DEST_PATH_IMAGE008
a weight coefficient indicating a value of the machining time,
Figure 734127DEST_PATH_IMAGE009
a basic score corresponding to the processing time is shown,
Figure 122383DEST_PATH_IMAGE010
representing the additional index value corresponding to the first part processed by the second production equipment,
Figure 347828DEST_PATH_IMAGE011
a weight coefficient representing an additional index value,
Figure 264969DEST_PATH_IMAGE012
；
the second obtaining module is configured to calculate a third machining capability value using the following equation:
Figure 90711DEST_PATH_IMAGE013
wherein the content of the first and second substances,
Figure 17079DEST_PATH_IMAGE014
represents the third machining capability value and,
Figure 831451DEST_PATH_IMAGE015
a quality value indicative of a quality of the first part as machined by the third production equipment,
Figure 450651DEST_PATH_IMAGE016
representing a machining time value required for said third production apparatus to machine the first part,
Figure 999575DEST_PATH_IMAGE017
and representing an additional index value corresponding to the first part machined by the third production equipment.
In this embodiment, the apparatus further includes:
the first judging module is used for judging whether the second production equipment can successfully finish the processing of the first part or not when the first part processed by the first production equipment is distributed to the second production equipment;
the second judging module is used for further judging whether the first part cannot be successfully machined due to equipment failure if the first part cannot be successfully machined by the second production equipment;
And the second calculation module is used for calculating a second machining capacity value according to the fault type if the machining of the first part cannot be successfully completed due to the equipment fault.
In this embodiment, the second calculating module is configured to calculate the second machining capability value by using the following formula:
Figure 464055DEST_PATH_IMAGE039
wherein the content of the first and second substances,
Figure 664092DEST_PATH_IMAGE040
indicating a standard process capability value of the second production equipment,
Figure 454193DEST_PATH_IMAGE041
is shown as
Figure 738018DEST_PATH_IMAGE042
The fault impact value corresponding to the seed fault type,
Figure 6188DEST_PATH_IMAGE043
indicating the number of types of faults that actually occur,
Figure 60732DEST_PATH_IMAGE044
is shown as
Figure 756155DEST_PATH_IMAGE042
The fault repair time corresponding to the seed fault type,
Figure 528939DEST_PATH_IMAGE045
indicating the average standard repair time when a failure occurred.
In this embodiment, the apparatus further includes:
and the setting module is used for setting the second machining capacity value to be-1 if the machining of the first part cannot be successfully completed due to non-equipment faults.
According to the management and control device of the smart factory production equipment based on the 5G technology provided by the embodiment, when the first part is allocated to the second production equipment, the second processing capacity value corresponding to the second production equipment when the second production equipment processes the first part and the second production income value corresponding to the second production equipment when the second production equipment processes the first part are firstly obtained respectively, and when the first part is allocated to the third production equipment, the third processing capacity value corresponding to the third production equipment processes the first part and the third production income value corresponding to the third production equipment when the third production equipment processes the first part are obtained, then the second total benefit value of the second production equipment and the third total benefit value of the third production equipment are calculated, and finally the production equipment with the maximum total benefit value is selected to process the parts of the same type.
The invention fully considers the processing capacity of different production equipment and the generated production income, can ensure that the finally selected production equipment is optimal, and can improve the production efficiency. In addition, the first production equipment, the second production equipment and the third production equipment are in wireless connection with the management and control server through the 5G network respectively, the method and the system have the advantages of being high in speed, low in time delay and high in stability, and reliability of network communication during management and control of the production equipment can be guaranteed.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following technologies, which are well known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims (3)

1. The utility model provides a management and control method of wisdom factory production facility based on 5G technique, its characterized in that is applied to the management and control server that sets up in the wisdom factory, the wisdom factory includes first production facility, second production facility, third production facility at least, first production facility, second production facility, third production facility respectively through 5G network with management and control server wireless connection, management and control server is used for distributing first part after first production facility processing to second production facility or third production facility, the method includes:
When the first part processed by the first production equipment is distributed to the second production equipment, acquiring a second processing capacity value corresponding to the second production equipment for processing the first part, and acquiring a second production yield value distributed to the second production equipment for processing;
when the first part processed by the first production equipment is distributed to the third production equipment, acquiring a third processing capacity value corresponding to the first part processed by the third production equipment, and acquiring a third production yield value distributed to the third production equipment for processing;
calculating a second total benefit value of the second production equipment according to the second processing capacity value and the second production benefit value, and calculating a third total benefit value of the third production equipment according to the third processing capacity value and the third production benefit value;
comparing the second total benefit value with the third total benefit value;
when the second total benefit value is larger than the third total benefit value, distributing the first part processed by the first production equipment to the second production equipment for processing;
when the third total benefit value is larger than the second total benefit value, distributing the first part processed by the first production equipment to the third production equipment for processing;
In the step of obtaining a second processing capacity value corresponding to the second production equipment for processing the first part, the second processing capacity value is calculated by adopting the following formula:
Figure 74885DEST_PATH_IMAGE001
wherein, the first and the second end of the pipe are connected with each other,
Figure 639859DEST_PATH_IMAGE002
represents the second value of the machining capability,
Figure 446403DEST_PATH_IMAGE003
indicating a quality value corresponding to the second production equipment processing the first part,
Figure 780432DEST_PATH_IMAGE004
a standard value representing the quality of machining,
Figure 653710DEST_PATH_IMAGE005
a weight coefficient indicating a process quality value,
Figure 830614DEST_PATH_IMAGE006
representing a machining time value required for the second production device to machine the first part,
Figure 549171DEST_PATH_IMAGE007
represents the average machining time value corresponding to all production equipment machining the first part,
Figure 127920DEST_PATH_IMAGE008
a weight coefficient indicating a value of the machining time,
Figure 172099DEST_PATH_IMAGE009
a basic score corresponding to the processing time is shown,
Figure 836299DEST_PATH_IMAGE010
representing the additional index value corresponding to the first part processed by the second production equipment,
Figure 358547DEST_PATH_IMAGE011
a weight coefficient representing an additional index value,
Figure 126275DEST_PATH_IMAGE012
；
in the step of obtaining a third machining capacity value corresponding to the machining of the first part by the third production equipment, the third machining capacity value is calculated by adopting the following formula:
Figure 75776DEST_PATH_IMAGE013
wherein the content of the first and second substances,
Figure 961693DEST_PATH_IMAGE014
represents the third machining capability value and,
Figure 287632DEST_PATH_IMAGE015
a quality value indicative of a quality of the first part as machined by the third production equipment,
Figure 716339DEST_PATH_IMAGE016
representing a machining time value required for said third production apparatus to machine the first part,
Figure 961376DEST_PATH_IMAGE017
representing an additional index value corresponding to the first part machined by the third production equipment;
In the step of obtaining a second production profit value allocated to the second production equipment for processing, calculating the second production profit value using the following formula:
Figure 475534DEST_PATH_IMAGE018
Figure 464218DEST_PATH_IMAGE019
wherein, the first and the second end of the pipe are connected with each other,
Figure 481853DEST_PATH_IMAGE020
representing the second value of the production revenue,
Figure 930414DEST_PATH_IMAGE021
representing an initial profit value of the first production device,
Figure 666289DEST_PATH_IMAGE022
represents the firstA weight coefficient of an initial profit value of the production facility, an
Figure 458664DEST_PATH_IMAGE023
，
Figure 330805DEST_PATH_IMAGE024
Representing an allocation revenue value of the second production device,
Figure 324169DEST_PATH_IMAGE025
representing an initial profit value of the second production device,
Figure 671974DEST_PATH_IMAGE026
a weight coefficient representing an initial profit value of the second production equipment;
in the step of obtaining a third production profit value allocated to the third production equipment for processing, the third production profit value is calculated by using the following formula:
Figure 877827DEST_PATH_IMAGE027
Figure 994688DEST_PATH_IMAGE028
wherein the content of the first and second substances,
Figure 158953DEST_PATH_IMAGE029
representing the third production profit value and,
Figure 227010DEST_PATH_IMAGE030
representing an allocated revenue value for the third production device,
Figure 236554DEST_PATH_IMAGE031
representing an initial profit value of the third production device,
Figure 473500DEST_PATH_IMAGE032
a weight coefficient representing an initial profit value of the third production equipment;
in the step of calculating a second total benefit value of the second production equipment according to the second processing capacity value and the second production benefit value, the second total benefit value is calculated by adopting the following formula:
Figure 543088DEST_PATH_IMAGE033
wherein the content of the first and second substances,
Figure 740851DEST_PATH_IMAGE034
the second total benefit value is represented by a second total benefit value,
Figure 413141DEST_PATH_IMAGE035
a weight coefficient representing a machining capability value,
Figure 645539DEST_PATH_IMAGE036
Representing a production profit value weight coefficient;
in the step of calculating a third total benefit value of the third production equipment according to the third processing capacity value and the third production benefit value, the following formula is adopted to calculate the third total benefit value:
Figure 745082DEST_PATH_IMAGE037
wherein the content of the first and second substances,
Figure 430141DEST_PATH_IMAGE038
representing the third total benefit value;
the method further comprises the following steps:
when the first part processed by the first production equipment is distributed to the second production equipment, judging whether the second production equipment can successfully finish processing the first part;
if the second production equipment cannot successfully finish machining the first part, further judging whether the machining of the first part cannot be successfully finished due to equipment failure;
if the machining of the first part cannot be successfully completed due to the equipment fault, calculating a second machining capacity value according to the fault type;
the method for calculating the second machining capability value according to the fault type includes the steps of:
acquiring at least one corresponding background fault when the second production equipment fails, wherein each background fault corresponds to a background fault type;
judging whether the background fault type has an unrepairable fault or not;
If not, acquiring fault repair time corresponding to each background fault type, and calculating to obtain the second machining capacity value according to the fault repair time;
the expression of the second processability value is:
Figure 407587DEST_PATH_IMAGE039
wherein, the first and the second end of the pipe are connected with each other,
Figure 494491DEST_PATH_IMAGE002
a second machining capability value is indicated,
Figure 905881DEST_PATH_IMAGE040
indicating a standard process capability value of the second production equipment,
Figure 937291DEST_PATH_IMAGE041
is shown as
Figure 826750DEST_PATH_IMAGE042
The fault impact value corresponding to the seed fault type,
Figure 158374DEST_PATH_IMAGE043
indicating the number of types of faults that actually occur,
Figure 475086DEST_PATH_IMAGE044
is shown as
Figure 993792DEST_PATH_IMAGE042
The fault repair time corresponding to the seed fault type,
Figure 686941DEST_PATH_IMAGE045
indicating the average standard repair time when a failure occurred.
2. The method as claimed in claim 1, wherein after the step of determining whether the machining of the first part cannot be successfully completed due to the equipment failure, the method further comprises:
and if the machining of the first part cannot be successfully completed due to non-equipment failure, the second machining capacity value is-1.
3. The utility model provides a management and control device of wisdom mill production facility based on 5G technique, its characterized in that is applied to the management and control server of setting in wisdom mill, wisdom mill includes first production facility, second production facility, third production facility at least, first production facility the second production facility the third production facility respectively through the 5G network with management and control server wireless connection, management and control server is used for with first part after the processing of first production facility distributes to the second production facility or third production facility, the device includes:
The first obtaining module is used for obtaining a second processing capacity value corresponding to the processing of the first part by the second production equipment and obtaining a second production income value distributed to the second production equipment for processing when the first part processed by the first production equipment is distributed to the second production equipment;
the second obtaining module is used for obtaining a third processing capacity value corresponding to the first part processed by the third production equipment when the first part processed by the first production equipment is distributed to the third production equipment, and obtaining a third production income value distributed to the third production equipment for processing;
the first calculation module is used for calculating a second total benefit value of the second production equipment according to the second processing capacity value and the second production benefit value, and calculating a third total benefit value of the third production equipment according to the third processing capacity value and the third production benefit value;
the comparison module is used for comparing the second total benefit value with the third total benefit value;
the first distribution module is used for distributing the first part processed by the first production equipment to the second production equipment for processing when the second total benefit value is greater than the third total benefit value;
The second distribution module is used for distributing the first part processed by the first production equipment to the third production equipment for processing when the third total benefit value is greater than the second total benefit value;
the first obtaining module is configured to calculate a second machining capability value using the following equation:
Figure 748438DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 124799DEST_PATH_IMAGE002
indicating the second machining capability value and,
Figure 6168DEST_PATH_IMAGE003
indicating a quality value corresponding to the second production equipment processing the first part,
Figure 362063DEST_PATH_IMAGE004
a standard value representing the quality of machining,
Figure 12487DEST_PATH_IMAGE005
a weight coefficient indicating a process quality value,
Figure 326794DEST_PATH_IMAGE006
representing a machining time value required for the second production device to machine the first part,
Figure 695458DEST_PATH_IMAGE007
represents the average machining time value corresponding to all production equipment machining the first part,
Figure 855044DEST_PATH_IMAGE008
a weight coefficient indicating a value of the machining time,
Figure 359975DEST_PATH_IMAGE009
a basic score corresponding to the processing time is shown,
Figure 720549DEST_PATH_IMAGE010
representing the additional index value corresponding to the first part processed by the second production equipment,
Figure 202608DEST_PATH_IMAGE011
a weight coefficient representing an additional index value,
Figure 775672DEST_PATH_IMAGE012
；
the second obtaining module is configured to calculate a third machining capability value using the following equation:
Figure 525322DEST_PATH_IMAGE013
wherein the content of the first and second substances,
Figure 56797DEST_PATH_IMAGE014
represents the third machining capability value and,
Figure 259109DEST_PATH_IMAGE015
a quality value indicative of a quality of the first part as machined by the third production equipment,
Figure 901443DEST_PATH_IMAGE016
representing a machining time value required for said third production apparatus to machine the first part,
Figure 505599DEST_PATH_IMAGE017
Representing an additional index value corresponding to the first part machined by the third production equipment;
the first obtaining module is configured to calculate a second production revenue value using the following equation:
Figure 207976DEST_PATH_IMAGE018
Figure 772950DEST_PATH_IMAGE019
wherein, the first and the second end of the pipe are connected with each other,
Figure 310985DEST_PATH_IMAGE020
representing the second value of the production revenue,
Figure 910593DEST_PATH_IMAGE021
representing an initial profit value of the first production device,
Figure 908505DEST_PATH_IMAGE022
a weight coefficient representing an initial profit value of the first production apparatus, an
Figure 960775DEST_PATH_IMAGE023
，
Figure 803966DEST_PATH_IMAGE024
Representing an allocation revenue value of the second production device,
Figure 258081DEST_PATH_IMAGE025
representing an initial profit value of the second production device,
Figure 161315DEST_PATH_IMAGE026
a weight coefficient representing an initial profit value of the second production equipment;
the second obtaining module is configured to calculate a third production profit value using the following equation:
Figure 966460DEST_PATH_IMAGE027
Figure 488708DEST_PATH_IMAGE028
wherein the content of the first and second substances,
Figure 423428DEST_PATH_IMAGE029
representing the third production profit value and,
Figure 638509DEST_PATH_IMAGE030
representing an allocated revenue value for the third production device,
Figure 524426DEST_PATH_IMAGE031
representing an initial profit value of the third production device,
Figure 850365DEST_PATH_IMAGE032
a weight coefficient representing an initial profit value of the third production equipment;
the first calculation module is configured to calculate a second total benefit value using the following equation:
Figure 138127DEST_PATH_IMAGE033
wherein the content of the first and second substances,
Figure 524109DEST_PATH_IMAGE034
the second total benefit value is represented by a second total benefit value,
Figure 38266DEST_PATH_IMAGE035
a weight coefficient representing a machining capability value,
Figure 26951DEST_PATH_IMAGE036
representing a production profit value weight coefficient;
the first calculation module is configured to calculate a third total benefit value using the following equation:
Figure 310165DEST_PATH_IMAGE037
wherein the content of the first and second substances,
Figure 490217DEST_PATH_IMAGE038
Representing the third total benefit value;
the regulating device is also used for:
when the first part processed by the first production equipment is distributed to the second production equipment, judging whether the second production equipment can successfully finish processing the first part;
if the second production equipment cannot successfully finish machining the first part, further judging whether the machining of the first part cannot be successfully finished due to equipment failure;
if the machining of the first part cannot be successfully completed due to the equipment fault, calculating a second machining capacity value according to the fault type;
the management and control device is also used for:
acquiring at least one corresponding background fault when the second production equipment fails, wherein each background fault corresponds to a background fault type;
judging whether the background fault type has an unrepairable fault or not;
if not, acquiring fault repair time corresponding to each background fault type, and calculating to obtain the second machining capacity value according to the fault repair time;
the expression of the second processability value is:
Figure 226092DEST_PATH_IMAGE039
wherein the content of the first and second substances,
Figure 752888DEST_PATH_IMAGE002
a second machining capability value is indicated,
Figure 156188DEST_PATH_IMAGE040
indicating a standard process capability value of the second production equipment,
Figure 883972DEST_PATH_IMAGE041
Denotes the first
Figure 966198DEST_PATH_IMAGE042
The fault impact value corresponding to the seed fault type,
Figure 437630DEST_PATH_IMAGE043
indicating the number of types of faults that actually occur,
Figure 820070DEST_PATH_IMAGE044
is shown as
Figure 453177DEST_PATH_IMAGE042
The fault repair time corresponding to the seed fault type,
Figure 789743DEST_PATH_IMAGE045
indicating the average standard repair time when a failure occurred.
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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108764751A (en) * 2018-06-06 2018-11-06 浙江宇天科技股份有限公司 A kind of assembling line efficiency estimation method
CN111105133A (en) * 2019-11-08 2020-05-05 成都博智云创科技有限公司 Production scheduling method, computer device, and storage medium
WO2021094808A1 (en) * 2019-11-12 2021-05-20 Arcelormittal Method for scheduling production on a continuous galvanizing line

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN100580594C (en) * 2008-06-11 2010-01-13 清华大学 Machine group scheduling method based on process capacity characteristic model
JP6981061B2 (en) * 2017-06-26 2021-12-15 富士通株式会社 Production plan generation program, production plan generation method and production plan generation device

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108764751A (en) * 2018-06-06 2018-11-06 浙江宇天科技股份有限公司 A kind of assembling line efficiency estimation method
CN111105133A (en) * 2019-11-08 2020-05-05 成都博智云创科技有限公司 Production scheduling method, computer device, and storage medium
WO2021094808A1 (en) * 2019-11-12 2021-05-20 Arcelormittal Method for scheduling production on a continuous galvanizing line

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
基于MDP的多Agent生产线动态调度策略;陈明等;《机电一体化》;20171115(第11期);全文 *

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