CN108764580A - A kind of assembly shop scheduling system - Google Patents
A kind of assembly shop scheduling system Download PDFInfo
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- CN108764580A CN108764580A CN201810561137.2A CN201810561137A CN108764580A CN 108764580 A CN108764580 A CN 108764580A CN 201810561137 A CN201810561137 A CN 201810561137A CN 108764580 A CN108764580 A CN 108764580A
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- 238000000034 method Methods 0.000 claims abstract description 8
- 238000012544 monitoring process Methods 0.000 claims abstract description 8
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Abstract
The present invention discloses a kind of assembly shop scheduling system, including human-machine operation module, information acquisition module, assembly shop operating mode AM access module, data preprocessing module, forecast analysis module, scheduling scheme initialization module, scheduling scheme optimizing module and central controller.The present invention is using centralized method for scheduling task, when user task reaches, it keeps in user task set, the optimization output of task allocation plan is carried out by way of combining group's scheduling, simultaneously in entire calculating process, the monitoring for realizing each power equipment operating mode in assembly line work load situation and workshop realizes the dynamic realtime update of scheduling decision, so as to effectively improve the safety and stability of entire assembly shop operation.
Description
Technical field
Job-Shop field of the present invention particularly relates to a kind of assembly shop scheduling system.
Background technology
Meanwhile at present for assembly shop scheduling problem, frequently with scheduling function, (such as linear function, obscures neural network
Method, decision tree etc.) and the scheduling rules pattern such as scheduling graph, but these patterns, based on experience, theoretical foundation is weak.Therefore,
Assembly shop scheduling rule pattern is studied, is domestic assembly shop scheduling to solve the uncertainty of assembly shop scheduling rule
The key points and difficulties problem of management study.
Invention content
In order to solve the above technical problems, the embodiment provides a kind of assembly shops to dispatch system.
The invention is realized by the following technical scheme：
A kind of assembly shop scheduling system, including：
Human-machine operation module, inside sets authentication module, is used for input control order；
Information acquisition module is made of each function detection module, and the work for detecting each assembly line at regular time and quantity is negative
Lotus parameter；
Assembly shop operating mode AM access module, the operating condition data for accessing each power equipment in assembly shop；
Data preprocessing module, collected parameter of workload data, power equipment fortune for receiving and standardizing
Row floor data and control command data；
Forecast analysis module establishes short-term forecast unit using statistical regression and data-driven method, according to the standard of completion
The load condition data and power equipment operating condition data changed generate short-term assembly shop operating condition forecast information, supply
Scheduling scheme initialization module；
Scheduling scheme initialization module, for according to completion be normalized into mission requirements data, load condition data with
And power equipment operating condition data, it is calculated using more grouping differential evolution algorithm optimizations and is conducive to improve assembly shop fortune
The assembly shop combined dispatching scheme of market condition；
Scheduling scheme optimizing module, for receiving the assembly shop combined dispatching side obtained by scheduling scheme initialization module
The variation tendency of case, the scheduling workshop operating condition caused to different assembly shop combined dispatching schemes is compared, and is proposed
Final scheduling decision scheme；
Central controller, for coordinating above-mentioned module work.
Preferably, the authentication module uses vena metacarpea biological model data, the vena metacarpea biological model data logical
It crosses and is imaged input after infrared vena metacarpea scanning recognition device is scanned.
Preferably, further include a control command mark module, the control command for being inputted human-machine operation module is used
Its corresponding operator's authentication information is marked, and the data conversion after the completion of label is stored up at not amendable format
It is stored in corresponding database.
Preferably, the forecast analysis module includes：
Graphic plotting module, for drawing various curve graphs according to the monitoring data；
Comparative analysis module will draw curve and compare and analyze and predict with former measured curve, output analysis prediction knot
Fruit；
Computing module is returned, for carrying out recurrence calculating to the curve drawn by different functions.
Preferably, further include an alarm module, for being opened and closed according to the result of forecast analysis module.
Preferably, further include a scheduling scheme operational monitoring module, for passing through information acquisition module and assembly shop
The real time data that operating mode AM access module obtains is scheduled the assessment of scheme operating condition, once assessment result is not in safe range
It is interior, then start warning module and carries out early warning.
Preferably, the warning module carries out automatic editor and the transmission of early warning short message using the automatic editor module of short message,
Short message receiving terminal is that the scheduling scheme plans responsible person.
Preferably, further include a remote server, for providing running environment for the manipulation of remote user；When user needs
When remotely with being checked, current information acquisition module can be carried out by Web browser and assembly shop operating mode accesses mould
Block collected data check.
The invention has the advantages that：
It keeps in user task set when user task reaches using the method for scheduling task of centralization, passes through joint
The mode of group's scheduling carries out the optimization output of task allocation plan, while in entire calculating process, realizes assembly line work
The monitoring of each power equipment operating mode in load condition and workshop realizes the dynamic realtime update of scheduling decision, so as to
Effectively improve the safety and stability of entire assembly shop operation.
Description of the drawings
Fig. 1 is the system block diagram that system is dispatched in a kind of assembly shop of the embodiment of the present invention.
Specific implementation mode
To keep the technical problem to be solved in the present invention, technical solution and advantage clearer, below in conjunction with attached drawing and tool
Body embodiment is described in detail.
As shown in Figure 1, an embodiment of the present invention provides a kind of assembly shops to dispatch system, including：
Human-machine operation module, inside sets authentication module, is used for input control order；The authentication module is using the palm
Vein biometric model data, the vena metacarpea biological model data are imaged after being scanned by infrared vena metacarpea scanning recognition device
Input；
Control command mark module, the control command for being inputted human-machine operation module are personal with its corresponding operation
Part verification information is marked, and the data conversion after the completion of label is stored in corresponding data at not amendable format
Library；
Information acquisition module is made of each function detection module, and the work for detecting each assembly line at regular time and quantity is negative
Lotus parameter；
Assembly shop operating mode AM access module, the operating condition data for accessing each power equipment in assembly shop；
Data preprocessing module, collected parameter of workload data, power equipment fortune for receiving and standardizing
Row floor data and control command data；
Forecast analysis module establishes short-term forecast unit using statistical regression and data-driven method, according to the standard of completion
The load condition data and power equipment operating condition data changed generate short-term assembly shop operating condition forecast information, supply
Scheduling scheme initialization module；
Scheduling scheme initialization module, for according to completion be normalized into mission requirements data, load condition data with
And power equipment operating condition data, it is calculated using more grouping differential evolution algorithm optimizations and is conducive to improve assembly shop fortune
The assembly shop combined dispatching scheme of market condition；
Scheduling scheme optimizing module, for receiving the assembly shop combined dispatching side obtained by scheduling scheme initialization module
The variation tendency of case, the scheduling workshop operating condition caused to different assembly shop combined dispatching schemes is compared, and is proposed
Final scheduling decision scheme；
Alarm module, for being opened and closed according to the result of forecast analysis module.
Scheduling scheme operational monitoring module, for being obtained by information acquisition module and assembly shop operating mode AM access module
Real time data be scheduled the assessment of scheme operating condition, once assessment result not in safe range, then starts early warning mould
Block carries out early warning.The warning module carries out automatic editor and the transmission of early warning short message, short message using the automatic editor module of short message
It is that the scheduling scheme plans responsible person to receive terminal.
Remote server, for providing running environment for the manipulation of remote user；When user need remotely with check
When, the collected number of current information acquisition module and assembly shop operating mode AM access module institute can be carried out by Web browser
According to check.
Central controller, for coordinating above-mentioned module work.
The forecast analysis module includes：
Graphic plotting module, for drawing various curve graphs according to the monitoring data；
Comparative analysis module will draw curve and compare and analyze and predict with former measured curve, output analysis prediction knot
Fruit；
Computing module is returned, for carrying out recurrence calculating to the curve drawn by different functions.
The above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, without departing from the principles of the present invention, several improvements and modifications can also be made, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (8)
1. system is dispatched in a kind of assembly shop, which is characterized in that including：
Human-machine operation module, inside sets authentication module, is used for input control order；
Information acquisition module is made of each function detection module, and the live load for detecting each assembly line at regular time and quantity is joined
Number；
Assembly shop operating mode AM access module, the operating condition data for accessing each power equipment in assembly shop；
Data preprocessing module, for receiving and standardizing, collected parameter of workload data, power equipment run work
Condition data and control command data；
Forecast analysis module establishes short-term forecast unit using statistical regression and data-driven method, is normalized into according to completion
Load condition data and power equipment operating condition data generate short-term assembly shop operating condition forecast information, be scheduled for
Scheme initialization module；
Scheduling scheme initialization module, mission requirements data, load condition data and electricity for being normalized into according to completion
Power equipment operating condition data are calculated using more grouping differential evolution algorithm optimizations and are conducive to improve assembly shop operation feelings
The assembly shop combined dispatching scheme of condition；
Scheduling scheme optimizing module is right for receiving the assembly shop combined dispatching scheme obtained by scheduling scheme initialization module
The variation tendency for the scheduling workshop operating condition that different assembly shop combined dispatching schemes are caused is compared, and is proposed final
Scheduling decision scheme；
Central controller, for coordinating above-mentioned module work.
2. system is dispatched in a kind of assembly shop according to claim 1, which is characterized in that the authentication module uses
Vena metacarpea biological model data, the vena metacarpea biological model data be scanned by infrared vena metacarpea scanning recognition device after at
As input.
3. system is dispatched in a kind of assembly shop according to claim 1, which is characterized in that further include control command label
Module, the control command for being inputted human-machine operation module are marked with its corresponding operator's authentication information,
And the data conversion after the completion of label is stored in corresponding database at not amendable format.
4. system is dispatched in a kind of assembly shop according to claim 1, which is characterized in that the forecast analysis module packet
It includes：
Graphic plotting module, for drawing various curve graphs according to the monitoring data；
Comparative analysis module will draw curve and compare and analyze and predict with former measured curve, output analysis prediction result；
Computing module is returned, for carrying out recurrence calculating to the curve drawn by different functions.
5. system is dispatched in a kind of assembly shop according to claim 1, which is characterized in that further include an alarm module, use
It is opened and closed according to the result of forecast analysis module.
6. system is dispatched in a kind of assembly shop according to claim 1, which is characterized in that further include scheduling scheme operation
Monitoring modular, for the real time data side of being scheduled by information acquisition module and assembly shop operating mode AM access module acquisition
The assessment of case operating condition, once assessment result, which not in safe range, then starts warning module, carries out early warning.
7. system is dispatched in a kind of assembly shop according to claim 6, which is characterized in that the warning module uses short message
Automatic editor module carries out automatic editor and the transmission of early warning short message, and short message receiving terminal is that the scheduling scheme plans responsible person.
8. system is dispatched in a kind of assembly shop according to claim 1, which is characterized in that further include a remote server,
For providing running environment for the manipulation of remote user；When user needs remotely with checking, pass through Web browser
Carry out current information acquisition module and assembly shop operating mode AM access module collected data check.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810561137.2A CN108764580A (en) | 2018-05-28 | 2018-05-28 | A kind of assembly shop scheduling system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810561137.2A CN108764580A (en) | 2018-05-28 | 2018-05-28 | A kind of assembly shop scheduling system |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103646203A (en) * | 2013-12-20 | 2014-03-19 | 中晟国计科技有限公司 | Computer safety system with human body biological characteristic recognition |
| CN106527373A (en) * | 2016-12-05 | 2017-03-22 | 中国科学院自动化研究所 | Workshop automatic scheduling system and method based on mutli-intelligent agent |
| CN107908459A (en) * | 2017-11-10 | 2018-04-13 | 山东劳动职业技术学院 | System is dispatched in a kind of cloud computing |
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2018
- 2018-05-28 CN CN201810561137.2A patent/CN108764580A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103646203A (en) * | 2013-12-20 | 2014-03-19 | 中晟国计科技有限公司 | Computer safety system with human body biological characteristic recognition |
| CN106527373A (en) * | 2016-12-05 | 2017-03-22 | 中国科学院自动化研究所 | Workshop automatic scheduling system and method based on mutli-intelligent agent |
| CN107908459A (en) * | 2017-11-10 | 2018-04-13 | 山东劳动职业技术学院 | System is dispatched in a kind of cloud computing |
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