CN112613190B - Mobile phone pipeline management method based on maxplus model - Google Patents

Mobile phone pipeline management method based on maxplus model Download PDF

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CN112613190B
CN112613190B CN202011639327.5A CN202011639327A CN112613190B CN 112613190 B CN112613190 B CN 112613190B CN 202011639327 A CN202011639327 A CN 202011639327A CN 112613190 B CN112613190 B CN 112613190B
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严都喜
刘强
邓彦锋
张定
苏倩怡
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Guangdong University of Technology
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Abstract

A mobile phone pipeline management method based on a maxplus model comprises the following steps: building a mobile phone production line for mobile phone production; constructing a corresponding virtual pipeline in the digital twin platform according to the mobile phone pipeline; calling detection equipment of a mobile phone assembly line, wherein the detection equipment acquires actual production data, the actual production data comprises the layout of the assembly line equipment, the capacity of a cache area and the operation time of a machine, and the actual production data is synchronized to a virtual assembly line through a handshake mechanism to acquire a mathematical model; the optimization scheme is input into the digital twin platform, the optimization scheme is transmitted to the mathematical model through the digital twin platform, the prediction result of the optimization scheme is fed back through the mathematical model, when equipment is updated or scheme optimization is carried out on the mobile phone assembly line, the digital twin platform can embody the optimization scheme on the virtual assembly line, and a worker can judge whether the optimization scheme is feasible or not through the display result of the virtual assembly line, so that bad results are avoided after the mobile phone assembly line is actually changed.

Description

Mobile phone pipeline management method based on maxplus model
Technical Field
The invention relates to the technical field of digital twin and intelligent monitoring, in particular to a mobile phone pipeline management method based on a maxplus model.
Background
In the prior art, the monitoring of the mobile phone assembly line focuses on the monitoring of an actual production line by using a monitor, a sensor and the like, and the technology usually lacks the model establishment on the whole mobile phone assembly line and generally only utilizes statistical data, experience and the like to control the production line in a one-sided manner.
The biggest defects of the prior art are as follows: (1) most of the control in the prior art is lack of control on a production line model, so that the control strategy is often lack of overall consideration; (2) most of the decisions of the prior art are lack of platforms capable of simulating experiments, and due to the lack of mathematical model building and simulation platforms, the control decisions are difficult to simulate in advance.
Disclosure of Invention
In view of the above drawbacks, the present invention is directed to a method for managing a mobile phone pipeline based on a maxplus model.
In order to achieve the purpose, the invention adopts the following technical scheme:
a mobile phone pipeline management method based on a maxplus model comprises the following steps:
building a mobile phone production line for mobile phone production;
constructing a corresponding virtual pipeline in the digital twin platform according to the mobile phone pipeline;
calling detection equipment of a mobile phone assembly line, wherein the detection equipment acquires actual production data, the actual production data comprises the layout of the assembly line equipment, the capacity of a cache area and the operation time of a machine, and the actual production data is synchronized to a virtual assembly line through a handshake mechanism to acquire a mathematical model;
and inputting an optimization scheme into the digital twin platform, transmitting the optimization scheme to a mathematical model through the digital twin platform, and feeding back a prediction result of the optimization scheme through the mathematical model.
Preferably, the step of obtaining the mathematical model includes obtaining a model corresponding to a start time of an arbitrary operation of the first machine, and includes the steps of:
the method comprises the following steps of obtaining the capacity of a first buffer area, the system input time of any operation of a mobile phone streamline waterline, the starting time of a first machine for processing the last operation and the operation duration of the first machine and a second machine, and obtaining a first model corresponding to the starting time of the first machine for processing any operation through maxplus judgment, wherein the first model is as follows:
Figure GDA0003087457080000021
wherein U (r) represents the input time of the r-th operation in the mobile phone pipeline; t is t1Indicating the duration of operation of the first machine, t2Indicating the duration of operation of the second machine, B2Indicating the capacity of the first buffer, X2(r-B2-1) representsStarting time, X, of two machines in processing the first last job in the first buffer1(r-1) represents the start time of the previous job on the first machine.
Preferably, the step of obtaining the mathematical model includes obtaining a model corresponding to a start time of any machine in processing any job, and includes the steps of:
obtaining a second expression model using maxplus at the starting time of any operation of other machines except the first machine according to the first expression model, wherein the second expression model is as follows:
Figure GDA0003087457080000022
wherein: xj(r) represents the work start time of the r-th work on the j-th machine; b isj+1Denotes the capacity of the jth buffer, tj-1Indicates the working time length, X, of the j-1 st machinej-1(r) represents the start time of the j-1 st machine in processing the r-th job, tjIndicates the working time length of the jth machine, Xj(r-1) represents the start time of the (r-1) th job being processed by the jth machine, Xj+1(r-Bj+1-1) represents the start time of the j +1 th machine in processing the last job in the j buffer, where model two satisfies the following condition: the r-th job can be mjFor processing, and mj-1The r-th job has been completed; m isjThe r-1 st job has been completed; must have already begun to proceed with the r-Bj+1-1 job to ensure that the jth buffer holds a vacant location.
Preferably, a uniform expression matrix is obtained according to the first model and the second model, and the uniform expression matrix is as follows:
Figure GDA0003087457080000031
acquiring a matrix of start times of all machines in processing any job through a unified expression matrix, wherein: A. b, B2、B3···、BnAll are time matrixes corresponding to the working time length of the work on any machine, for example, A represents the time matrix of the working time length of the r-th work on any machine, B is the time matrix of the working time length of the r-1-th work on any machine, B2～BNAnd D is a time matrix of the system input time of any job.
The final mathematical model can be obtained by unifying the expression matrix and the operation duration matrix of all machines, and the time of any operation on the output virtual mobile phone assembly line can be obtained through the mathematical model:
Figure GDA0003087457080000032
where C represents a matrix of the duration of the work for all machines.
Preferably, the steps of building a mobile phone production line for mobile phone production are as follows: a designed mobile phone production line;
installing corresponding production machines on the production line, wherein the production machines comprise one or more combinations of various machining and assembling devices and PLC control devices of the production line; installing a corresponding digital twinning hardware device on the production machine, wherein the digital twinning hardware device comprises a combination of one or more of a sensor, a data acquisition and a monitoring device.
Preferably, the digital twin platform comprises a decision center layer, a control network layer and an equipment simulation layer, wherein the decision center layer downloads a production instruction to the control network layer through an optimized scheduling scheme, the control network layer converts the production instruction into a machine instruction, and downloads a corresponding optimized scheduling scheme machine instruction to the equipment simulation layer;
wherein the virtual pipeline is located in the device simulation layer, and the mathematical model is located in the decision center layer.
In one embodiment, obtaining actual production data comprises: various processing and assembling machines of the mobile phone assembly line are additionally provided with a PLC control device, a sensor and a data acquisition or monitoring device, and actual production data of actual assembly line equipment is acquired through an SCADA;
the SCADA transmits actual production data to the device simulation layer through a handshake mechanism.
In one embodiment, the handshake mechanism is an opuca or Modbus communication protocol, the actual production data is linked to the virtual pipeline through the handshake mechanism, and the virtual pipeline determines the corresponding mathematical model according to the actual production data.
The invention has the beneficial effects that: 1. when equipment is updated or a scheme is optimized on the mobile phone production line, the digital twin platform can embody the optimized scheme on the virtual production line, and a worker can judge whether the optimized scheme is feasible or not by displaying the result of the virtual production line, so that bad results are avoided after the mobile phone production line is actually updated.
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FIG. 1 is a schematic flow diagram of one embodiment of the present invention.
FIG. 2 is a schematic representation of a mathematical model in one embodiment of the invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "axial", "radial", "circumferential", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used merely for convenience of description and for simplicity of description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
As shown in fig. 1-2, a method for managing a mobile phone pipeline based on a maxplus model includes the following steps:
building a mobile phone production line for mobile phone production;
constructing a corresponding virtual pipeline in the digital twin platform according to the mobile phone pipeline;
calling detection equipment of a mobile phone assembly line, wherein the detection equipment acquires actual production data, the actual production data comprises the layout of the assembly line equipment, the capacity of a cache area and the operation time of a machine, and the actual production data is synchronized to a virtual assembly line through a handshake mechanism to acquire a mathematical model;
and inputting an optimization scheme into the digital twin platform, transmitting the optimization scheme to a mathematical model through the digital twin platform, and feeding back a prediction result of the optimization scheme through the mathematical model.
Preferably, the step of obtaining the mathematical model includes obtaining a model corresponding to a start time of an arbitrary operation of the first machine, and includes the steps of:
the method comprises the following steps of obtaining the capacity of a first buffer area, the system input time of any operation of a mobile phone streamline waterline, the starting time of a first machine for processing the last operation and the operation duration of the first machine and a second machine, and obtaining a first model corresponding to the starting time of the first machine for processing any operation through maxplus judgment, wherein the first model is as follows:
Figure GDA0003087457080000061
wherein U (r) represents the input time of the r-th operation in the mobile phone pipeline; t is t1Indicating the duration of operation of the first machine, t2Indicating the duration of operation of the second machine, B2Indicating the capacity of the first buffer, X2(r-B2-1) represents the start time, X, of the second machine in processing the first last job in the first buffer1(r-1) represents the start time of the previous job on the first machine.
Preferably, the step of obtaining the mathematical model includes obtaining a model corresponding to a start time of any machine in processing any job, and includes the steps of:
obtaining a second expression model using maxplus at the starting time of any operation of other machines except the first machine according to the first expression model, wherein the second expression model is as follows:
Figure GDA0003087457080000062
wherein: xj(r) represents the work start time of the r-th work on the j-th machine; b isj+1Denotes the capacity of the jth buffer, tj-1Indicates the working time length, X, of the j-1 st machinej-1(r) represents the start time of the j-1 st machine in processing the r-th job, tjIndicates the working time length of the jth machine, Xj(r-1) represents the start time of the (r-1) th job being processed by the jth machine, Xj+1(r-Bj+1-1) represents the start time of the j +1 th machine in processing the last job in the j buffer, where model two satisfies the following condition: the r th oneCan be used asjFor processing, and mj-1The r-th job has been completed; m isjThe r-1 st job has been completed; must have already begun to proceed with the r-Bj+1-1 job to ensure that the jth buffer holds a vacant location.
Preferably, a uniform expression matrix is obtained according to the first model and the second model, and the uniform expression matrix is as follows:
Figure GDA0003087457080000071
acquiring a matrix of start times of all machines in processing any job through a unified expression matrix, wherein: A. b, B2、B3···、BnAll are time matrixes corresponding to the working time length of the work on any machine, for example, A represents the time matrix of the working time length of the r-th work on any machine, B is the time matrix of the working time length of the r-1-th work on any machine, B2～BNAnd D is a time matrix of the system input time of any job.
The final mathematical model can be obtained by unifying the expression matrix and the operation duration matrix of all machines, and the time of any operation on the output virtual mobile phone assembly line can be obtained through the mathematical model:
Figure GDA0003087457080000072
where C represents a matrix of the duration of the work for all machines.
In maxplus, two main algebraic operations are included, maximum addition and maximum multiplication, respectively, and the symbolic expressions are:
Figure GDA0003087457080000073
wherein the operation in the maximal addition is:
Figure GDA0003087457080000074
the operation of the maximum multiplication is:
Figure GDA0003087457080000075
in addition, ε corresponds to- ∞; e corresponds to 0. Namely, it is
Figure GDA0003087457080000076
Modeling is carried out on the mobile phone assembly line by using the maximum algebra, and the condition of the existence of a cache region is considered. Then for any machine j (1 < j < N) to start processing the r-th job, the following conditions need to be satisfied: (1) the r-th job can be mjFor processing (m)j-1The r-th job has been completed); (2) m isjThe r-1 st job has been completed; (3) considering the case of a buffer, the r-B must have already started to proceedj+1-1 job, so as to reserve at least one vacancy in the downstream cache zone. Therefore, the first model can be obtained, parameters in the first model maximum addition respectively represent the third conditions, an option with the largest time value is selected through the maximum addition of maxplus to represent the starting operation time of any operation on the first machine, the largest numerical value can be selected through the maximum addition of maxplus, the starting time of the operation on the machine is guaranteed to have an error tolerance value, and each operation can be guaranteed to enter a mobile machine pipeline. And the model I is converted to obtain a model II, because the model I calculates the operation starting time of the first machine, the first machine has the input time when one operation is input into the mobile phone assembly line, and the following machines use the finishing time of the previous machine to replace the input time of the mobile phone assembly line. And a unified expression matrix of the operation start time of any operation on all the machines can be obtained by combining the first model and the second model.
The unified expression matrix is used for calculating the starting time of all machines in any operation, and the output time of any operation in the virtual pipeline can be obtained by adding the operation time length of all machines, wherein C is the operation time length of all machines. When the mobile phone assembly line needs to be modified by an optimization scheme, a virtual assembly line can be constructed in advance in a digital twin platform, the output time of any operation in a new virtual assembly line is output through the mathematical model and compared with the output time of any operation in the existing mobile phone assembly line, whether the optimization scheme is feasible and the optimization time can be visually seen through comparison, wherein all data in the mathematical model are real data obtained by adopting detection equipment, the output time Y (r) calculated by using the mathematical model is more real, and the accuracy of a judgment result is also ensured.
Preferably, the steps of building a mobile phone production line for mobile phone production are as follows: a designed mobile phone production line;
installing corresponding production machines on the production line, wherein the production machines comprise one or more combinations of various machining and assembling devices and PLC control devices of the production line; installing a corresponding digital twinning hardware device on the production machine, wherein the digital twinning hardware device comprises a combination of one or more of a sensor, a data acquisition and a monitoring device.
Preferably, the digital twin platform comprises a decision center layer, a control network layer and an equipment simulation layer, wherein the decision center layer downloads a production instruction to the control network layer through an optimized scheduling scheme, the control network layer converts the production instruction into a machine instruction, and downloads a corresponding optimized scheduling scheme machine instruction to the equipment simulation layer;
wherein the virtual pipeline is located in the device simulation layer, and the mathematical model is located in the decision center layer.
The decision center layer can be regarded as an input layer of the digital twin platform for an optimization scheme, the optimization scheme or an improved scheme can be input into the digital twin platform through the decision center layer, the decision center layer converts the input optimization scheme into a production instruction known by a computer through the control network layer and sends the production instruction to the equipment simulation layer, the equipment simulation layer can be regarded as an output layer visually known by a user, and the equipment simulation layer can display a virtual pipeline on a display. And when the optimization scheme is input, the equipment simulation layer correspondingly executes the production instruction, updates the data model, correspondingly modifies the corresponding virtual pipeline and finally shows the optimized virtual pipeline in the display.
In one embodiment, obtaining actual production data comprises: various processing and assembling machines of the mobile phone assembly line are additionally provided with a PLC control device, a sensor and a data acquisition or monitoring device, and actual production data of actual assembly line equipment is acquired through an SCADA;
the SCADA transmits actual production data to the device simulation layer through a handshake mechanism.
In the digital twin platform, the monitoring data of the mobile phone pipeline is updated in real time. The platform can be divided into three layers, namely a decision center layer, a control network layer and an equipment simulation layer. The decision center layer sends down a production instruction to the control network layer through a scheduling optimization scheme, and the control network layer sends scheduling state information to the decision center layer in an uplink mode; in addition, the control network layer sends a machine instruction to the equipment simulation layer in a downlink mode, and in turn, the equipment simulation layer sends field information to the control network layer in an uplink mode to conduct real-time data interaction. A virtual mobile phone production line is established in a three-dimensional modeling module of an equipment simulation layer of the digital twin platform, and the established virtual production line can be used for monitoring, simulating and other functions.
In one embodiment, the handshake mechanism is an opuca or Modbus communication protocol, the actual production data is linked to the virtual pipeline through the handshake mechanism, and the virtual pipeline determines the corresponding mathematical model according to the actual production data.
The method of implementing one embodiment of the invention is as follows:
the designed assembly line and a series of digital twin hardware devices are built in an actual production environment, and a virtual assembly line corresponding to the mobile phone assembly line is built in the digital twin platform.
A handshake mechanism is set, wherein the handshake mechanism can be an OPCUA or Modbus communication protocol, the handshake mechanism is used for synchronously controlling a mobile phone assembly line and a virtual assembly line, data synchronization is realized between the mobile phone assembly line and the virtual assembly line through the handshake mechanism, and data of mobile phone assembly line equipment is acquired, processed and distributed through an SCADA; meanwhile, the data of the SCADA is linked with a virtual assembly line of the digital twin platform through a handshake mechanism, so that the real-time transmission of the data and the virtual and real synchronization of a production line are achieved.
The method is characterized in that a mathematic model is constructed by adopting maxplus, which is established on a digital twin platform corresponding to a mobile phone assembly line, after virtual-real synchronization of the assembly line is carried out, the digital twin platform receives information from an actual assembly line through a handshake mechanism, wherein the information comprises the layout of assembly line equipment, the capacity of a cache region, the operation time of a machine and the like, so that the parameters of the mathematic model are determined, the mathematic model is automatically established in a control module of a decision center layer of the platform, and the mathematic model is automatically established before the mobile phone assembly line starts to operate.
Aiming at the problems of scheduling, maintenance, reconfiguration and the like which may occur or have occurred in the mobile phone assembly line, the optimization scheme corresponding to the decision center layer of the digital twin platform can be subjected to pre-simulation regulation and control in the digital twin platform through a mathematical model, for example, when the mobile phone assembly line needs to be additionally inserted into the assembly line due to the production change, the initial operation time of each workpiece on each machine after the reconfiguration of the production line can be known in advance through modifying the mathematical model, and various optimization schemes such as modifying the capacity of a buffer area, modifying the processing time of the machine and the like are provided according to the result of the mathematical model. And carrying out simulation experiments on the virtual assembly line by various optimization schemes through an equipment simulation layer of the platform, thereby finding out the optimal optimization scheme through comparison. Similar mathematical model-based analog regulation applications are numerous and will not be described in detail herein. The virtual simulation experiment provided by the digital twin platform is different from the traditional simulation software in that a mathematical model is established and various regulation and control are performed based on the mathematical model. The optimal solution of the regulation and control decision is found through simulation experiments of a virtual assembly line and a mathematical model on a platform, the optimal solution is applied to a mobile phone assembly line, monitoring and data interaction are continuously carried out through a handshake mechanism of a digital twin platform in the regulation and control process, and the aim of synchronizing an optimization scheme between virtuality and reality is fulfilled. The regulated mobile phone assembly line transmits production line data of the mobile phone assembly line to the digital twin platform through a data acquisition and handshake mechanism, and the digital twin platform updates and optimizes the virtual production line and the mathematical model through updating data, so that the mobile phone assembly line is continuously optimized and iterated in an actual environment and a virtual environment, and the mathematical model is continuously perfected.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples" or the like 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 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 (5)

1. A mobile phone pipeline management method based on a maxplus model is characterized by comprising the following steps:
building a mobile phone production line for mobile phone production;
constructing a corresponding virtual pipeline in the digital twin platform according to the mobile phone pipeline;
calling detection equipment of a mobile phone assembly line, wherein the detection equipment acquires actual production data, the actual production data comprises the layout of the assembly line equipment, the capacity of a cache area and the operation time of a machine, and the actual production data is synchronized to a virtual assembly line through a handshake mechanism to acquire a mathematical model;
inputting an optimization scheme into the digital twin platform, transmitting the optimization scheme to a mathematical model through the digital twin platform, and feeding back a prediction result of the optimization scheme through the mathematical model;
the step of obtaining the mathematical model includes obtaining a model corresponding to a start time of an arbitrary operation of the first machine, and includes the steps of:
the method comprises the following steps of obtaining the capacity of a first buffer area, the system input time of any operation of a mobile phone streamline waterline, the starting time of a first machine for processing the last operation and the operation duration of the first machine and a second machine, and obtaining a first model corresponding to the starting time of the first machine for processing any operation through maxplus judgment, wherein the first model is as follows:
Figure FDA0003087457070000011
wherein U (r) represents the input time of the r-th operation in the mobile phone pipeline; t is t1Indicating the duration of operation of the first machine, t2Indicating the duration of operation of the second machine, B2Indicating the capacity of the first buffer, X2(r-B2-1) represents the start time, X, of the second machine in processing the first last job in the first buffer1(r-1) represents a start time of a job of a previous job on the first machine;
the step of obtaining the mathematical model further comprises obtaining a model corresponding to the starting time of any machine in processing any job, and the steps are as follows:
obtaining a second expression model using maxplus at the starting time of any operation of other machines except the first machine according to the first expression model, wherein the second expression model is as follows:
Figure FDA0003087457070000021
wherein: xj(r) represents the work start time of the r-th work on the j-th machine; b isj+1Denotes the capacity of the jth buffer, tj-1Indicates the working time length, X, of the j-1 st machinej-1(r) represents the start time of the j-1 st machine in processing the r-th job, tjIndicates the working time length of the jth machine, Xj(r-1) representsAt the beginning time of the jth machine processing the r-1 th job, Xj+1(r-Bj+1-1) represents the start time of the j +1 th machine in processing the last job in the j buffer, where model two satisfies the following condition: the r-th job can be mjFor processing, and mj-1The r-th job has been completed; m isjThe r-1 st job has been completed; must have already begun to proceed with the r-Bj+11 job to ensure that the jth buffer holds a vacant location, mjDenotes the jth machine, mj-1Represents the j-1 st machine;
obtaining a uniform expression matrix according to the first model and the second model, wherein the uniform expression matrix is as follows:
Figure FDA0003087457070000022
acquiring a matrix of start times of all machines in processing any job through a unified expression matrix, wherein: b isnA time matrix corresponding to the working time length of the work on any machine, A represents the time matrix of the working time length of the r-th work on any machine, B is the time matrix of the working time length of the r-1-th work on any machine, B2～BNSubtracting a time matrix of the operation duration of the operation with the corresponding number in any machine from the corresponding r, wherein D is a time matrix of the system input time of any operation;
the final mathematical model can be obtained by unifying the expression matrix and the operation duration matrix of all machines, and the time of any operation on the output virtual mobile phone assembly line can be obtained through the mathematical model:
Figure FDA0003087457070000023
where C represents a matrix of the duration of the work for all machines.
2. The method for managing the mobile phone assembly line based on the maxplus model according to claim 1, wherein the steps of building the mobile phone assembly line for mobile phone production are as follows: a designed mobile phone production line;
installing corresponding production machines on the production line, wherein the production machines comprise one or more combinations of various machining and assembling devices and PLC control devices of the production line; installing a corresponding digital twinning hardware device on the production machine, wherein the digital twinning hardware device comprises a combination of one or more of a sensor, a data acquisition and a monitoring device.
3. The method for managing the mobile phone production line based on the maxplus model according to claim 1, wherein the digital twin platform comprises a decision center layer, a control network layer and an equipment simulation layer, the decision center layer performs downlink production instructions on the control network layer through an optimized scheduling scheme, the control network layer converts the production instructions into machine instructions and performs downlink corresponding optimized scheduling scheme machine instructions on the equipment simulation layer;
wherein the virtual pipeline is located in the device simulation layer, and the mathematical model is located in the decision center layer.
4. The method for managing the mobile phone production line based on the maxplus model according to claim 1, wherein the obtaining of the actual production data comprises: various processing and assembling machines of the mobile phone assembly line are additionally provided with a PLC control device, a sensor and a data acquisition or monitoring device, and actual production data of actual assembly line equipment is acquired through an SCADA;
the SCADA transmits actual production data to the device simulation layer through a handshake mechanism.
5. The method for managing the mobile phone pipeline based on the maxplus model according to claim 1, wherein the handshake mechanism is an opua or Modbus communication protocol, actual production data is linked to the virtual pipeline through the handshake mechanism, and the virtual pipeline determines a corresponding mathematical model according to the actual production data.
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