CN112198846A - Self-adaptive scheduling system and method for pipeline operation - Google Patents
Self-adaptive scheduling system and method for pipeline operation Download PDFInfo
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- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
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Abstract
The invention discloses a self-adaptive scheduling system and a self-adaptive scheduling method for pipeline operation.A main control end is provided with a task scheduling server, a pipeline scheduling module and a database; the controlled end is provided with a judging module, a self-adjusting module, a data acquisition module, a distribution module and a threshold module; the task scheduling server is used for distributing the job tasks, and the database is used for storing the pipeline job tasks, the part state data and the pipeline job task amount; the assembly line scheduling module is used for adjusting the starting number of the assembly lines according to the total work task amount and the maximum work task amount of the assembly lines; the judging module is used for judging whether the task quantity of the current assembly line work exceeds the maximum task quantity of the assembly line work; the self-adjusting module is used for returning the excessive job tasks to the task scheduling server; the data acquisition module is used for acquiring the current work task amount of the assembly line; the distribution module is used for distributing parts required by each assembly line work task; the threshold module is used for adjusting the maximum job task amount of the assembly line.
Description
Technical Field
The invention relates to the technical field of adaptive scheduling, in particular to an adaptive scheduling system and method for pipeline operation.
Background
At present, a production line of a manufacturing system generally comprises a transmission mechanism and a processing machine tool. And the conveying mechanism usually adopts traditional logistics mechanisms such as a roller line, a speed doubling line, a belt line and a blocking mechanism, when the conveying mechanism is used for conveying articles, the articles are conveyed along the same direction, and when the conveying mechanism needs to be stopped, the blocking cylinder is lifted to stop the articles. The transmission mode is suitable for single articles with fixed process flows, but is usually careless for articles with more types, larger size difference, uncertain process routes and reverse circulation, and flexible processing and flexible transportation can not be realized according to requirements. In addition, during processing, a professional operator is required to change a field instruction on site to operate, and data statistics also needs to be manually copied and extracted, so that the processed object or the process route is complicated to replace, and mistakes are easily made. In the aspect of factory production scheduling management and control, the problems of production scheduling and reliability analysis are mainly researched. Scholars at home and abroad put forward models such as a multi-agent system, a whole-body manufacturing system and the like, and can realize distributed control. The existing research shows that the traditional multi-agent system has insufficient dynamic support for a multi-objective algorithm, the formulation of a scheduling strategy lacks global property, and the whole sub-manufacturing system has the capability of rapidly adapting to environmental changes, but has a certain distance from practical application.
Therefore, how to provide an adaptive scheduling system and method for pipeline operation is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
In view of the above, the present invention provides an adaptive scheduling system and method for pipeline operation.
In order to achieve the purpose, the invention adopts the following technical scheme:
an adaptive scheduling system for pipelining comprising: a master control end and a controlled end; the main control end is provided with a task scheduling server, a pipeline scheduling module and a database; the controlled end is provided with a judging module, a self-adjusting module, a data acquisition module, a distribution module and a threshold module; the task scheduling server is used for distributing the operation tasks, the database is used for storing the pipeline operation tasks, the part state data and the pipeline operation task quantity, and the pipeline scheduling module is used for adjusting the starting quantity of the pipelines according to the total operation task quantity and the maximum operation task quantity of the pipelines; the system comprises a judging module, a data acquisition module, an allocation module and a threshold module, wherein the judging module is used for judging whether the task quantity of the current assembly line work exceeds the maximum task quantity of the assembly line, the self-adjusting module is used for returning the exceeded task to the task scheduling server, the data acquisition module is used for acquiring the current task quantity of the assembly line work, the allocation module is used for allocating parts required by each assembly line work task, and the threshold module is used for adjusting the maximum task quantity of the assembly line work; the mobile terminal (3) is connected with the main control end (1), and the mobile terminal (3) is used for checking the running state of the system and inputting the adjustment parameters.
Preferably, the master control end is connected with the controlled end through heartbeat to confirm that the controlled end normally works.
Preferably, the distribution mode of the task scheduling server is based on the average distribution of the task amount of the job.
Preferably, the part status data includes: one or more of surface roughness, material, size and shape of the part.
Preferably, the mobile terminal is further configured to add job tasks, intervene in the assignment of job tasks, modify the threshold in the threshold module, adjust the number of started pipelines, and display the working state of the pipelines.
An adaptive scheduling method for pipeline operation comprises the following steps:
s1, the task scheduling server (11) acquires the job tasks from the database (13), distributes the job tasks according to the job task amount, and sends distribution data to the controlled end (2) after distribution is completed;
s2, the pipeline scheduling module (12) according to the total job task quantity T and the maximum job task quantity T of the pipelineimCalculating the optimum pipeline opening number n, wherein n is more than or equal to T/TimAnd sending the control signal to the controlled end (2);
s3, after the distribution module (24) receives the operation tasks of each assembly line, the distribution module meets the requirements of the parts according to the assembly lines and the part state Pj＝(Rj,Mj,Sj,Fj) Distributing the parts into various flow lines; the distribution method comprises the following steps:
fmax(Rj,Mj,Sj,Fj):＝ft(x)
fmax(x) Obtaining a function of the currently required machining process of the part, ft(x) And acquiring the serial number of the current assembly line capable of processing a certain process, and assigning a task through a program.
S4, the data acquisition module (23) acquires the current work task amount T of the current assembly line in real timeiAnd the current job task amount T is calculatediSending the data to the judging module (21);
s5, the judging module (21) calls the maximum work task amount T of the assembly line from the threshold module (25)imAnd the received current job task amount T of the current pipelineiComparing, if the current task quantity T of the operationiNot less than maximum operation task quantity T of assembly lineimThen, the process proceeds to step S6, and if the current task amount T isiLess than the maximum job task T of the production lineimThen go to step S7;
s6, the judging module (21) sends a signal that the current pipeline work task amount is too large to the self-adjusting module (22), and the self-adjusting module (22) returns the excessive work tasks to the task scheduling server (21);
s7, the judging module (21) sends a signal that the current pipeline work task amount is insufficient to the self-adjusting module (22), and the self-adjusting module (22) sends the spare work task amount TkAnd sending the task to a task scheduling server (11) to wait for the allocation of a new job task.
Preferably, when the job task amount in the task scheduling server continuously increases, the pipeline scheduling module sends a pipeline starting signal to the controlled end to start a new pipeline.
Preferably, the work task amount continuously increases, and the net increase amount of the current work task is larger than that of the previous work task, and the occurrence frequency is larger than three times.
According to the technical scheme, compared with the prior art, the self-adaptive scheduling system and the self-adaptive scheduling method for the pipeline operation are provided, the self-allocation of tasks is achieved through the task scheduling server, the control of the starting number of the pipelines is achieved through the pipeline multi-scheduling module, the pipeline workload is collected through the data collection module, the pipeline workload is judged through the judgment module, the pipeline workload is adjusted and fed back through the self-adjustment module, the allocation is conducted through the allocation module according to the pipeline work requirement and the part state, and the self-adaptive adjustment of the pipeline operation is achieved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic diagram of the structure provided by the present invention;
FIG. 2 is a schematic flow diagram provided by the present invention;
FIG. 3 is a schematic flow diagram of the distribution of parts to various flow lines provided by the present invention;
FIG. 4 is a schematic diagram of a pipeline scheduling process provided by the present invention;
FIG. 5 is a schematic diagram of a task determination and self-tuning process provided by the present invention;
FIG. 6 is a schematic diagram of a task allocation process provided by the present invention;
wherein, 1 is a master control end, 2 is a controlled end, and 3 is a mobile terminal;
11 is a task scheduling server, 12 is a pipeline scheduling module, and 12 is a database;
21 is a judging module, 22 is a self-adjusting module, 23 is a data acquisition module, 24 is a distributing module, and 25 is a threshold module.
Detailed Description
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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
The embodiment of the invention discloses a self-adaptive scheduling system for pipeline operation, which comprises: a master control end 1 and a controlled end 2; the main control end 1 is provided with a task scheduling server 11, a pipeline scheduling module 12 and a database 12; the controlled end is provided with a judging module 21, a self-adjusting module 22, a data acquisition module 23, a distribution module 24 and a threshold module 25;
the task scheduling server 11 is used for distributing job tasks, the database 13 is used for storing pipeline job tasks, part state data and pipeline job task quantity, and the pipeline scheduling module 12 is used for adjusting the starting quantity of pipelines according to the total job task quantity and the maximum job task quantity of the pipelines;
the judging module 21 is used for judging whether the task quantity of the current assembly line work exceeds the maximum task quantity of the assembly line, the self-adjusting module 22 is used for returning the exceeded work tasks to the task scheduling server, the data acquisition module 23 is used for acquiring the current task quantity of the assembly line, the distribution module 24 is used for distributing parts required by each assembly line work task, and the threshold module 25 is used for adjusting the maximum task quantity of the assembly line;
the mobile terminal (3) is connected with the main control end (1), and the mobile terminal (3) is used for checking the running state of the system and inputting the adjustment parameters.
In order to further optimize the technical scheme, the master control end 1 is in heartbeat connection with the controlled end 2 to confirm that the controlled end 2 works normally.
In order to further optimize the above technical solution, the distribution mode of the task scheduling server 11 is based on the task amount of the job.
In order to further optimize the above technical solution, the part state data includes: one or more of surface roughness, material, size and shape of the part.
In order to further optimize the above technical solution, the mobile terminal 3 is further configured to add job tasks, intervene in the allocation of job tasks, modify the threshold in the threshold module, adjust the number of pipeline starts, and display the working state of the pipeline.
An adaptive scheduling method for pipeline operation comprises the following steps:
s1, the task scheduling server (11) acquires the job tasks from the database (13), distributes the job tasks according to the job task amount, and sends distribution data to the controlled end (2) after distribution is completed;
s2, the pipeline scheduling module (12) according to the total job task quantity T and the maximum job task quantity T of the pipelineimCalculating the optimum pipeline opening number n, wherein n is more than or equal to T/TimAnd sending the control signal to the controlled end (2);
s3, after the distribution module (24) receives the operation tasks of each assembly line, the distribution module meets the requirements of the parts according to the assembly lines and the part state Pj＝(Rj,Mj,Sj,Fj) Distributing the parts into various flow lines; the distribution method comprises the following steps:
fmax(Rj,Mj,Sj,Fj):＝ft(x)
fmax(x) Obtaining a function of the currently required machining process of the part, ft(x) And acquiring the serial number of the current assembly line capable of processing a certain process, and assigning a task through a program.
S4, the data acquisition module (23) acquires the current work task amount T of the current assembly line in real timeiAnd the current job task amount T is calculatediSending the data to the judging module (21);
s5, the judging module (21) calls the maximum work task amount T of the assembly line from the threshold module (25)imAnd the received current job task amount T of the current pipelineiComparing, if the current task quantity T of the operationiNot less than maximum operation task quantity T of assembly lineimThen, go to step S6, if yesFront job task volume TiLess than the maximum job task T of the production lineimThen go to step S7;
s6, the judging module (21) sends a signal that the current pipeline work task amount is too large to the self-adjusting module (22), and the self-adjusting module (22) returns the excessive work tasks to the task scheduling server (21);
s7, the judging module (21) sends a signal that the current pipeline work task amount is insufficient to the self-adjusting module (22), and the self-adjusting module (22) sends the spare work task amount TkAnd sending the task to a task scheduling server (11) to wait for the allocation of a new job task.
In order to further optimize the above technical solution, when the job task amount in the task scheduling server 11 continuously increases, the pipeline scheduling 12 module sends a pipeline starting signal to the controlled end 2 to start a new pipeline.
In order to further optimize the technical scheme, the work task amount continuously increases to the point that the net increase amount of the current work task is larger than that of the previous work task, and the occurrence frequency is larger than three times.
Examples
An operator inputs an operation task into a database, a system is started, a task scheduling server acquires the operation task from the database, a pipeline scheduling module acquires the total operation task amount, calculates the optimal pipeline starting number and feeds the optimal pipeline starting number back to the task scheduling server, the task scheduling server distributes the task to each started pipeline according to the task, the pipeline scheduling module sends a starting signal to a controlled end, the controlled end starts the pipeline, a distribution module acquires the operation task of the pipeline, and the part is distributed to the pipeline according to the part state and the requirement of the operation task on the part.
The data acquisition module acquires the work task amount of the pipeline in real time, the collected work task amount of the pipeline is sent to the judgment module, the judgment module calls the set maximum work task amount of the pipeline from a threshold value and compares the set maximum work task amount with the received work task amount of the pipeline, if the work task amount of the pipeline is larger than the maximum work task amount of the pipeline, a signal that the current pipeline task amount is too large is sent to the self-adjusting module, the self-adjusting module extracts and returns the excessive work tasks to the task scheduling server, and the task scheduling server redistributes the tasks; and if the work task amount of the current assembly line is less than the maximum work task amount of the assembly line, sending a signal that the work task amount of the current assembly line is insufficient to the self-adjusting module, calculating the spare work task amount by the self-adjusting module, sending the spare work task amount to the task scheduling server, and waiting for new task allocation.
When too many job tasks are accumulated in the task scheduling server, the assembly line scheduling module calculates the job task amount and sends an opening signal to the controlled end to open a new assembly line, and if a worker does not want to open the new assembly line to relieve the pressure of the task scheduling server, the maximum job task amount of the assembly line in the threshold module can be adjusted through the mobile terminal to distribute the job tasks accumulated in the task scheduling server;
the staff can also manually open or close the assembly line through the mobile terminal, manually distribute the job tasks to the assembly line, and adjust the priority of the job tasks.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. An adaptive scheduling system for pipeline operations, comprising: the system comprises a main control end (1), a controlled end (2) and a mobile terminal (3);
the main control end (1) is provided with a task scheduling server (11), a pipeline scheduling module (12) and a database (13);
the controlled end (2) is provided with a judging module (21), a self-adjusting module (22), a data acquisition module (23), a distribution module (24) and a threshold module (25);
the task scheduling server (11) is used for distributing operation tasks, the database (13) is used for storing pipeline operation tasks, part state data and pipeline operation task quantity, and the pipeline scheduling module (12) is used for adjusting the starting quantity of pipelines according to the total operation task quantity and the maximum operation task quantity of the pipelines;
the system comprises a judging module (21), a data acquisition module (23), an allocation module (24) and a threshold module (25), wherein the judging module (21) is used for judging whether the task quantity of the current assembly line work exceeds the maximum task quantity of the assembly line work, the self-adjusting module (22) is used for returning the exceeded task to the task scheduling server (11), the data acquisition module (23) is used for acquiring the current task quantity of the assembly line work, the allocation module (24) is used for allocating parts required by each assembly line work task, and the threshold module (25) is used for adjusting the maximum task quantity of the;
the mobile terminal (3) is connected with the main control end (1), and the mobile terminal (3) is used for checking the running state of the system and inputting the adjustment parameters.
2. The adaptive scheduling system for pipeline operation according to claim 1, wherein the master (1) is connected to the slave (2) via heartbeat to confirm that the slave (2) is working properly.
3. An adaptive scheduling system for pipeline operations according to claim 1, wherein the distribution mode of the task scheduling server (11) is an average distribution according to the task amount of the operation.
4. The adaptive scheduling system for pipelining of claim 1 wherein the part state data includes: one or more of surface roughness, material, size and shape of the part.
5. The adaptive scheduling system for pipeline operations as claimed in claim 1, wherein the mobile terminal is further configured to add job tasks, intervene in the assignment of job tasks, modify the maximum job task amount in the threshold module, adjust the number of pipeline openings, and display the pipeline operation status.
6. An adaptive scheduling method for pipelining using an adaptive scheduling system for pipelining according to any one of claims 1 to 5, comprising the steps of:
s1, the task scheduling server (11) acquires the job tasks from the database (13), distributes the job tasks according to the job task amount, and sends distribution data to the controlled end (2) after distribution is completed;
s2, the pipeline scheduling module (12) according to the total job task quantity T and the maximum job task quantity T of the pipelineimCalculating the optimum pipeline opening number n, wherein n is more than or equal to T/TimAnd sending the control signal to the controlled end (2);
s3, after the distribution module (24) receives the operation tasks of each assembly line, the distribution module meets the requirements of the parts according to the assembly lines and the part state Pj＝(Rj,Mj,Sj,Fj) Distributing the parts into various flow lines; the distribution method comprises the following steps:
fmax(Rj,Mj,Sj,Fj):＝ft(x)
fmax(x) Obtaining a function of the currently required machining process of the part, ft(x) And acquiring the serial number of the current assembly line capable of processing a certain process, and assigning a task through a program.
S4, the data acquisition module (23) acquires the current work task amount T of the current assembly line in real timeiAnd the current job task amount T is calculatediSending the data to the judging module (21);
s5, the judging module (21) calls the maximum work task amount T of the assembly line from the threshold module (25)imAnd the received current job task amount T of the current pipelineiComparing, if the current task quantity T of the operationiNot less than maximum operation task quantity T of assembly lineimThen, the process proceeds to step S6, and if the current task amount T isiLess than the maximum job task T of the production lineimThen go to step S7;
s6, the judging module (21) sends a signal that the current pipeline work task amount is too large to the self-adjusting module (22), and the self-adjusting module (22) returns the excessive work tasks to the task scheduling server (21);
s7, the judging module (21) sends a signal that the current pipeline work task amount is insufficient to the self-adjusting module (22), and the self-adjusting module (22) sends the spare work task amount TkAnd sending the task to a task scheduling server (11) to wait for the allocation of a new job task.
7. The adaptive scheduling method for pipeline operation according to claim 6, wherein when the job task amount in the task scheduling server (11) continues to increase, the pipeline scheduling module (12) sends a pipeline starting signal to the slave (2) to start a new pipeline.
8. The adaptive scheduling method for pipeline operations of claim 7 wherein the number of jobs continues to increase such that the net increase of the current job task is greater than the net increase of the previous job task and occurs more than three times.
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