CN113920272A - Production equipment rhythm optimizing method and device, terminal and storage medium - Google Patents
Production equipment rhythm optimizing method and device, terminal and storage medium Download PDFInfo
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Abstract
The invention relates to the technical field of production equipment adjustment, in particular to a production equipment rhythm optimization method, a device, a terminal and a storage medium, wherein the method comprises the following steps: obtaining a production equipment model and the fastest rhythm of each unit of the production equipment; determining a bottleneck unit according to the production equipment model and the fastest rhythm of each unit; and determining the optimal rhythm of each unit according to the fastest rhythm of the bottleneck unit and the production equipment model. The method of the invention determines the bottleneck unit of the production equipment by obtaining the production equipment model and the fastest rhythm of each unit of the production equipment. The method is realized based on a production equipment model, shows contents by using a three-dimensional model, shows the running condition of the cooperation rhythm among production units of the production equipment through data interaction, and optimizes the production efficiency of the production equipment by adjusting the production rhythm of the production units in the digital world.
Description
Technical Field
The invention relates to the technical field of production equipment adjustment, in particular to a production equipment rhythm optimization method, a production equipment rhythm optimization device, a production equipment rhythm optimization terminal and a storage medium.
Background
One of the great characteristics of modern industrial production is that the production mode of a production line is widely adopted. The assembly line production refers to a production organization form that the working objects continuously pass through various working places according to a certain process route and a uniform production speed and are sequentially processed to produce products. Usually, the production equipment is matched with the production of the production line and is consistent with the speed and rhythm of the production, and the rhythm of the production equipment has great influence on the production efficiency of the production line.
Taking the detection of the intelligent electric meter in the power industry as an example, the current intelligent electric meter is widely covered as a legal electric metering device. The pressure of the verification and storage links of the intelligent electric energy meter is high. As high automated production equipment, whether the matching rhythm between the production units of an electric energy meter verification assembly line and a three-dimensional intelligent storehouse is reasonable or not is adjusted by manufacturers and engineers according to experience, and the matching rhythm of the production units cannot be accurately adjusted due to the lack of a scientific verification method. And influenced by the traditional technology, the verification after the matching of the electric energy meter verification assembly line and each production unit of the three-dimensional intelligent storehouse with rhythm regulation also needs to be carried out for a long period of actual production verification to determine whether the production is effective or not and whether the production is adjusted in the forward direction or not. The method is more efficient for adjusting the single equipment, but is low in efficiency for matching and optimizing the rhythms of a plurality of production units.
How to verify the efficiency of the production equipment and how to adjust the matching rhythm of the production units is a problem which needs to be solved urgently.
Disclosure of Invention
The embodiment of the invention provides a rhythm optimizing method, device, terminal and storage medium for production equipment, which are used for solving the problem of poor efficiency optimizing effect of the production equipment.
In a first aspect, an embodiment of the present invention provides a method for optimizing rhythm of production equipment, including: obtaining a production equipment model and the fastest rhythm of each unit in the production equipment, wherein the production equipment model comprises a model of each unit in the production equipment, and the production equipment model is a motion model of the production equipment;
determining a bottleneck unit according to the production equipment model and the fastest rhythm of each unit;
and determining the optimal rhythm of each unit according to the fastest rhythm of the bottleneck unit and the production equipment model, wherein the optimal rhythm of each unit is the rhythm of each unit model when the production equipment model reaches the fastest rhythm.
In one possible implementation, the method further includes: the obtaining of the production equipment model includes:
acquiring sensing data of each unit and a three-dimensional model of each unit;
establishing a three-dimensional model of production equipment according to the three-dimensional model of each unit;
mapping the sensory data of each cell to the three-dimensional model of each cell;
and establishing a production equipment model according to the sensing data and the production equipment three-dimensional model.
In one possible implementation, the obtaining the fastest tempo of each unit in the production equipment includes:
acquiring sensing data of each unit and a three-dimensional motion model of each unit;
and determining the fastest rhythm of each unit according to the sensing data of each unit and the three-dimensional motion model of each unit.
In one possible implementation manner, the determining a bottleneck unit according to the production equipment model and the fastest rhythm of each unit includes:
acquiring a first production rhythm of each unit; the first production rhythm is that the rhythm of the first unit model is adjusted to be a first rhythm, the rhythms of other unit models are fixed to be the fastest rhythm, and the rhythm is simulated by the production equipment model during production; the first unit model is any one unit model in all the unit models; the first rhythm of each unit is slower than the fastest rhythm, and the ratio of the first rhythm of each unit to the fastest rhythm is the same;
acquiring the slowest first production rhythm, wherein the slowest first production rhythm is the slowest rhythm in the first production rhythms of the units;
and determining the unit corresponding to the slowest first production rhythm as the bottleneck unit.
In a possible implementation manner, the determining an optimal rhythm of each unit according to the fastest rhythm of the bottleneck unit and the production equipment model includes:
simulating a production rhythm by adopting the production equipment model, and fixing the rhythm of the bottleneck unit model as a fastest rhythm;
adjusting the rhythm of other unit models of the production equipment to enable the production equipment model to reach the fastest rhythm;
and determining the rhythm of each unit model when the production equipment model reaches the fastest rhythm as the optimal rhythm of each unit.
In a possible implementation manner, the adjusting the rhythm of the remaining unit models of the production equipment to make the production equipment model reach the fastest rhythm includes:
a rhythm adjusting step: gradually increasing the rhythm of a first unit model until the rhythm of the production equipment model is not increased any more, wherein the first unit model is any one of the other unit models;
fixing the rhythm of the first unit model;
and repeating the rhythm regulation step until the rhythm of each unit model in the rest unit models is regulated.
In a possible implementation manner, before the determining a bottleneck unit according to the production equipment model and the fastest rhythm of each unit, the method further includes:
and adjusting the time flow rate of the production equipment model to be higher than the normal time flow rate.
In a second aspect, an embodiment of the present invention provides a rhythm tuning device for production equipment, including:
the production equipment comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring a production equipment model and the fastest rhythm of each unit in the production equipment, the production equipment model comprises a model of each unit in the production equipment, and the production equipment model is a motion model of the production equipment;
the bottleneck determining module is used for determining a bottleneck unit according to the production equipment model and the fastest rhythm of each unit; and the number of the first and second groups,
and the adjusting and optimizing module is used for determining the optimal rhythm of each unit according to the fastest rhythm of the bottleneck unit and the production equipment model, and the optimal rhythm of each unit is the rhythm of each unit model when the production equipment model reaches the fastest rhythm.
In a third aspect, an embodiment of the present invention provides a terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the method according to the first aspect or any one of the possible implementation manners of the first aspect when executing the computer program.
In a fourth aspect, the present invention provides a computer-readable storage medium, which stores a computer program that, when executed by a processor, implements the steps of the method as described in the first aspect or any one of the possible implementations of the first aspect.
Compared with the prior art, the implementation mode of the invention has the following beneficial effects:
the embodiment of the invention discloses a rhythm optimizing method for production equipment. The method is realized based on a production equipment model, shows contents by using a three-dimensional model, shows the running condition of the cooperation rhythm among production units of the production equipment through data interaction, mainly reflects the production efficiency bottleneck equipment of the production units, and optimizes the production efficiency of the production equipment by adjusting the production rhythm of the production units in the digital world.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a flow chart of a rhythm tuning method for production equipment according to an embodiment of the present invention;
FIG. 2 is a functional block diagram of a rhythm tuning device of a production facility according to an embodiment of the present invention;
fig. 3 is a functional block diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following description is made with reference to the accompanying drawings.
The following is a detailed description of the embodiments of the present invention, which is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
Fig. 1 is a flowchart of a rhythm tuning method for production equipment according to an embodiment of the present invention.
As shown in fig. 1, it shows a flowchart of implementing the rhythm tuning method for production equipment according to the embodiment of the present invention, which is detailed as follows:
in step 101, a production equipment model and a fastest rhythm of each unit in the production equipment are obtained, wherein the production equipment model comprises a model of each unit in the production equipment, and the production equipment model is a motion model of the production equipment.
In some possible implementation embodiments, the obtaining the production equipment model includes: the method comprises the steps of obtaining sensing data of each unit and a three-dimensional model of each unit, building a three-dimensional model of production equipment according to the three-dimensional model of each unit, mapping the sensing data of each unit to the three-dimensional model of each unit, and building the production equipment model according to the sensing data and the three-dimensional model of the production equipment.
In some possible implementations, the obtaining a fastest tempo for each unit in a production facility includes: and acquiring sensing data of each unit and a three-dimensional motion model of each unit, and determining the fastest rhythm of each unit according to the sensing data of each unit and the three-dimensional motion model of each unit.
Illustratively, the production equipment in the embodiment of the present invention is a flow line equipment, which includes a plurality of units connected in sequence, and the product passes through each unit to finally produce a finished product.
The rhythm of the production equipment or the rhythm of each unit in the production equipment refers to the number of processed products in the production equipment or each unit in the production equipment in unit time, and the higher the number of the processed products in unit time is, the faster the rhythm is. For example, if the first production equipment processes 70 pieces of products in one hour and the second production equipment processes 60 pieces of products in one hour, the rhythm of the first production equipment is faster than that of the second production equipment.
The fastest pace of the production plant, i.e., the production capacity of the production plant, depends on the bottleneck unit. The bottleneck unit means a unit having the lowest production capacity among the respective units of the production apparatus. The production capacity of the bottleneck unit limits the exertion of the capacity of other units, so that the fastest pace of production equipment is further limited.
For modeling, generally, a model is built for each unit of production equipment, the whole production equipment is restored and assembled by using a three-dimensional visualization technology 1:1, and the sensing data of the production equipment is accessed to realize homomorphic mapping of a digital world and a physical world of each production unit.
The modeling of each unit of the production equipment completely follows the design concept of being originated from the field and surpassing the field, and carries out digital modeling on the complex environment of the field operation of the equipment. And disassembling the production equipment into a plurality of production units according to functions, classifying the functional characteristics of each production unit, and modeling the same type of production units by using 3 dMAX. Each model and the real object are modeled according to the ratio of 1:1, and the lighting effect is rendered according to the actual scene of the scene so as to obtain the display effect of a more real model.
And combining the production units, assembling the production units through a model editor to form a three-dimensional model of the whole production equipment 1:1, and simultaneously, carrying out one-to-one correspondence on the sensing data of each production unit obtained by the master control system and the model so as to form a homomorphic mapping body of the production equipment based on the digital twin. And meanwhile, the parameters of each production unit can be dynamically configured, and particularly the production rhythm of the production unit can be adjusted in a rapid and slow manner through parameter configuration.
The sensing data obtained by the master control system and the three-dimensional motion model of each unit can obtain the fastest rhythm of each unit in a motion simulation mode.
A three-dimensional motion model of the production equipment can be established through the three-dimensional model of each unit and the sensing data, and the production process of the production equipment is simulated through the three-dimensional motion model of the production equipment.
Illustratively, the three-dimensional motion model of the production equipment is used for representing relevant information of the production equipment and each unit in the production equipment when processing products, for example, the process of product input and product output can be visually observed through the three-dimensional model, and the rhythm of the production equipment can be observed.
In step 102, a bottleneck unit is determined according to the production equipment model and the fastest rhythm of each unit.
In some possible implementations, step 102 includes:
acquiring a first production rhythm of each unit; the first production rhythm is that the rhythm of the first unit model is adjusted to be a first rhythm, the rhythms of other unit models are fixed to be the fastest rhythm, and the rhythm is simulated by the production equipment model during production; the first unit model is any one unit model in all the unit models; the first rhythm of each unit is slower than the fastest rhythm, and the ratio of the first rhythm of each unit to the fastest rhythm is the same;
acquiring the slowest first production rhythm, wherein the slowest first production rhythm is the slowest rhythm in the first production rhythms of the units;
and determining the unit corresponding to the slowest first production rhythm as the bottleneck unit.
Illustratively, for the aspect of determining the bottleneck unit, one possible implementation is as follows:
firstly, the rhythm of the unit to be tested is adjusted to a preset value, the preset value is slightly slower than the fastest rhythm of the unit to be tested, if the preset rhythm is 1% slower than the fastest rhythm, the rhythm of each unit is adjusted to the fastest rhythm, production is simulated through production equipment, and the production rhythm is recorded.
Then, all the units are respectively subjected to sexual testing according to the steps and the production rhythm of the simulation production is recorded.
And finally, sequencing the obtained production rhythms to obtain the slowest production rhythm, wherein the unit corresponding to the slowest production rhythm is the bottleneck unit.
In step 103, determining an optimal rhythm of each unit according to the fastest rhythm of the bottleneck unit and the production equipment model, wherein the optimal rhythm of each unit is the rhythm of each unit model when the production equipment model reaches the fastest rhythm.
In some possible implementations, step 103 includes:
and simulating the production rhythm by adopting the production equipment model, wherein the rhythm of the bottleneck unit model is fixed as the fastest rhythm.
And adjusting the rhythm of the other unit models of the production equipment to enable the production equipment model to reach the fastest rhythm.
And determining the rhythm of each unit model as the optimal rhythm of each unit model when the production equipment model reaches the fastest rhythm.
In some possible implementation embodiments, the adjusting the rhythm of the remaining unit models of the production equipment to make the production equipment model reach the fastest rhythm includes:
a rhythm adjusting step: and gradually increasing the rhythm of the first unit model until the rhythm of the production equipment model is not increased any more, wherein the first unit model is any one of the other unit models.
Fixing the rhythm of the first unit model.
And repeating the rhythm regulation step until the rhythm of each unit model in the rest unit models is regulated.
Illustratively, the optimal rhythm of each unit is the coordinated rhythm of each unit model when the production equipment model reaches the fastest rhythm. If the production equipment comprises a first unit, a second unit and a third unit, when the production equipment model is used for producing, when the first unit model is used for processing N1 products per hour, the second unit model is used for processing N2 products per hour, and the third unit model is used for producing at the rhythm of processing N3 products per hour, the rhythm of the production equipment model reaches the fastest speed, the optimal rhythm of the first unit is used for processing N1 products per hour, the optimal rhythm of the second unit is used for processing N2 products per hour, and the optimal rhythm of the first unit is used for processing N3 products per hour.
In the step of optimizing the rhythm of the production unit, the following steps can be performed:
firstly, fixing the bottleneck unit at the fastest rhythm, and simulating production by using a production equipment model.
And then, adjusting the rhythm of the test unit model to gradually improve the rhythm of the simulation production of the production equipment model.
In this step, one possibility is to set the tempo of the units other than the bottleneck unit to a predetermined value, such as 20% of the fastest tempo of the unit. Then, the rhythm of the test unit model is gradually accelerated until the rhythm of the production equipment model is not accelerated any more. According to the method, the rhythms of other units except the bottleneck unit are gradually increased. At this time, the rhythm of the production equipment reaches the fastest speed.
And finally, obtaining the rhythm of each unit as the optimal rhythm.
In some implementations, the method further includes: and adjusting the time flow rate of the production equipment model to be higher than the normal time flow rate.
Because the part of the tuning process works in the production model for simulation production, the time flow rate of the production equipment model is improved, the simulation operation speed can be accelerated, the simulation operation result can be seen more quickly, and the tuning time is saved.
According to the embodiment of the rhythm optimization method of the production equipment, the bottleneck unit of the production equipment is determined by obtaining the production equipment model and the fastest rhythm of each unit of the production equipment. The method is realized based on a production equipment model, shows contents by using a three-dimensional model, shows the running condition of the cooperation rhythm among production units of the production equipment through data interaction, mainly reflects the production efficiency bottleneck equipment of the production units, and optimizes the production efficiency of the production equipment by adjusting the production rhythm of the production units in the digital world.
It should be understood that the sequence numbers of the steps in the above embodiments do not mean the execution sequence, and the execution sequence of each process should be determined by the function and the inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
The following are apparatus embodiments of the invention, and for details not described in detail therein, reference may be made to the corresponding method embodiments described above.
Fig. 2 is a functional block diagram of a rhythm tuning device of a production apparatus according to an embodiment of the present invention, and referring to fig. 2, the rhythm tuning device 2 of the production apparatus includes: an acquisition module 201, a bottleneck determination module 202, and a tuning module 203.
An obtaining module 201, configured to obtain a production equipment model and a fastest rhythm of each unit in the production equipment, where the production equipment model includes a model of each unit in the production equipment, and the production equipment model is a motion model of the production equipment;
a bottleneck determining module 202, configured to determine a bottleneck unit according to the production equipment model and a fastest rhythm of each unit;
and the tuning module 203 is configured to determine an optimal rhythm of each unit according to the fastest rhythm of the bottleneck unit and the production equipment model, where the optimal rhythm of each unit is the rhythm of each unit model when the production equipment model reaches the fastest rhythm.
Fig. 3 is a functional block diagram of a terminal according to an embodiment of the present invention. As shown in fig. 3, the terminal 3 of this embodiment includes: a processor 300, a memory 301 and a computer program 302 stored in said memory 301 and executable on said processor 300. The processor 300 executes the computer program 302 to implement the steps of the above-mentioned rhythm tuning method for production equipment and the implementation manner of the rhythm tuning method for production equipment, such as the steps 101 to 103 shown in fig. 1.
Illustratively, the computer program 302 may be partitioned into one or more modules/units that are stored in the memory 301 and executed by the processor 300 to implement the present invention.
The terminal 3 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computing devices. The terminal 3 may include, but is not limited to, a processor 300, a memory 301. It will be appreciated by those skilled in the art that fig. 3 is only an example of a terminal 3 and does not constitute a limitation of the terminal 3 and may comprise more or less components than those shown, or some components may be combined, or different components, e.g. the terminal may further comprise input output devices, network access devices, buses, etc.
The Processor 300 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 301 may be an internal storage unit of the terminal 3, such as a hard disk or a memory of the terminal 3. The memory 301 may also be an external storage device of the terminal 3, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) and the like provided on the terminal 3. Further, the memory 301 may also include both an internal storage unit and an external storage device of the terminal 3. The memory 301 is used for storing the computer program and other programs and data required by the terminal. The memory 301 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit, and the integrated unit may be implemented in a form of hardware, or may be implemented in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the description of each embodiment is focused on, and for parts that are not described or illustrated in detail in a certain embodiment, reference may be made to the description of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal and method may be implemented in other manners. For example, the above-described apparatus/terminal embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions in actual implementation, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method according to the above embodiment may be implemented by a computer program, which may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the steps of the embodiments of the method and the apparatus for adjusting the rhythm of the production equipment may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may be modified or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A rhythm tuning method for production equipment is characterized by comprising the following steps:
obtaining a production equipment model and the fastest rhythm of each unit in the production equipment, wherein the production equipment model comprises a model of each unit in the production equipment;
determining a bottleneck unit according to the production equipment model and the fastest rhythm of each unit;
and determining the optimal rhythm of each unit according to the fastest rhythm of the bottleneck unit and the production equipment model, wherein the optimal rhythm of each unit is the rhythm of each unit model when the production equipment model reaches the fastest rhythm.
2. The rhythm tuning method for production equipment according to claim 1, wherein the obtaining of the production equipment model comprises:
acquiring sensing data of each unit and a three-dimensional model of each unit;
establishing a three-dimensional model of production equipment according to the three-dimensional model of each unit;
mapping the sensory data of each cell to the three-dimensional model of each cell;
and establishing a production equipment model according to the sensing data and the production equipment three-dimensional model.
3. The rhythm tuning method for the production equipment according to claim 1, wherein the obtaining the fastest rhythm of each unit in the production equipment comprises:
acquiring sensing data of each unit and a three-dimensional motion model of each unit;
and determining the fastest rhythm of each unit according to the sensing data of each unit and the three-dimensional motion model of each unit.
4. The rhythm optimization method for the production equipment according to claim 1, wherein the determining the bottleneck unit according to the production equipment model and the fastest rhythm of each unit comprises:
acquiring a first production rhythm of each unit; the first production rhythm is that the rhythm of the first unit model is adjusted to be a first rhythm, the rhythms of other unit models are fixed to be the fastest rhythm, and the rhythm is simulated by the production equipment model during production; the first unit model is any one unit model in all the unit models; the first rhythm of each unit is slower than the fastest rhythm, and the ratio of the first rhythm of each unit to the fastest rhythm is the same;
acquiring the slowest first production rhythm, wherein the slowest first production rhythm is the slowest rhythm in the first production rhythms of the units;
and determining the unit corresponding to the slowest first production rhythm as the bottleneck unit.
5. The rhythm optimization method for the production equipment according to claim 1, wherein the determining the optimal rhythm of each unit according to the fastest rhythm of the bottleneck unit and the production equipment model comprises:
simulating a production rhythm by adopting the production equipment model, wherein the rhythm of the bottleneck unit model is fixed to be the fastest rhythm;
adjusting the rhythms of the other unit models of the production equipment to enable the production equipment model to reach the fastest rhythm;
and determining the rhythm of each unit model as the optimal rhythm of each unit model when the production equipment model reaches the fastest rhythm.
6. The rhythm optimization method for the production equipment according to claim 5, wherein the adjusting the rhythm of each of the other unit models of the production equipment to make the production equipment model reach the fastest rhythm comprises:
a rhythm adjusting step: gradually increasing the rhythm of a first unit model until the rhythm of the production equipment model is not increased any more, wherein the first unit model is any one of the other unit models;
fixing the rhythm of the first unit model;
and repeating the rhythm regulation step until the rhythm of each unit model in the rest unit models is regulated.
7. The rhythm optimization method for the production equipment according to any one of claims 1 to 6, wherein before determining the bottleneck unit according to the production equipment model and the fastest rhythm of each unit, the method further comprises:
and adjusting the time flow rate of the production equipment model to be higher than the normal time flow rate.
8. A production equipment rhythm adjusting and optimizing device is characterized by comprising:
the system comprises an acquisition module, a storage module and a display module, wherein the acquisition module is used for acquiring a production equipment model and the fastest rhythm of each unit in the production equipment, the production equipment model comprises a model of each unit in the production equipment, and the production equipment model is a motion model of the production equipment;
the bottleneck determining module is used for determining a bottleneck unit according to the production equipment model and the fastest rhythm of each unit; and the number of the first and second groups,
and the adjusting and optimizing module is used for determining the optimal rhythm of each unit according to the fastest rhythm of the bottleneck unit and the production equipment model, and the optimal rhythm of each unit is the rhythm of each unit model when the production equipment model reaches the fastest rhythm.
9. A terminal comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of the preceding claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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