CN105183613A - Networked 3D printer monitoring method - Google Patents
Networked 3D printer monitoring method Download PDFInfo
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- CN105183613A CN105183613A CN201510711268.0A CN201510711268A CN105183613A CN 105183613 A CN105183613 A CN 105183613A CN 201510711268 A CN201510711268 A CN 201510711268A CN 105183613 A CN105183613 A CN 105183613A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
In order to solve the problem of lacking of an efficient 3D printer monitoring method in the prior art, the invention provides a networked 3D printer monitoring method. The monitoring method comprises the steps that anticipated workload information of all 3D printers is monitored; working conditions of all the 3D printers are collected; complexity of all the 3D printers is calculated; 3D printers which need the longest working time and the shortest working time in all the 3D printers are determined according to the anticipated workload information and the complexity of all the 3D printers; print tasks are reallocated, the anticipated workload information of all the 3D printers is updated, and printing conditions of the next parts of all the 3D printers are monitored again by returning back to the first step. According to the networked 3D printer monitoring method, the print tasks can be allocated dynamically according to past performance when all the printers print the parts, when complex workpieces are printed, the total consumed time needed by all the networked 3D printers can be shortened to the maximum extent, and the work efficiency is increased.
Description
Technical field
The present invention relates to remote control technology field, more specifically, relate to a kind of networking 3D printer monitor method.
Background technology
3D printer also claims three-dimensional printer, a kind of accumulation manufacturing technology, i.e. a kind of machine of Rapid Prototyping technique, it is based on a kind of digital model file, use special wax material, powdery metal or plastics etc. can jointing material, manufacture three-dimensional object by the jointing material printed from level to level.Present stage, three-dimensional printer was used to manufacture a product.The mode successively printed carrys out the technology of constructed object.The principle of 3D printer is that data and raw material are put in 3D printer, and machine can be created product from level to level according to program.
3D prints and brings worldwide manufacturing industry revolution, that can the part design production technology that places one's entire reliance upon realize in the past, and the appearance of 3D printer, this production thinking will be overturned, this makes enterprise no longer consider production technology problem when that manufactures parts, and the design of any complicated shape all can be realized by 3D printer.It is without the need to machining or mould, just directly can generate the object of any shape from computer graphics data, thus the production cycle of greatly shortened product, improve throughput rate.
In the face of heavy duty work, baroque component such as such as industrial boiler etc., or even during this kind of high-quality precision and sophisticated technology application of Large Scale Space Vehicle, 3D printer cannot fulfil assignment separately.At this moment the combination process of multiple stage 3D printer is just needed.But in prior art, lack effective network management technology between multiple stage 3D printer, general employing is divided the work in advance and adopts the artificial mode confirmed contact and link up further work after having printed.If certain parts of complex part can not complete in time or deviation appears in size, then the test job of follow-up other parts based on these parts and the 3D printer of these other parts of printing then can only wait for that the printing of those parts that can not complete in time or go wrong completes.This is unfavorable for improving overall 3D print job efficiency.
Summary of the invention
The present invention lacks the problem of efficient 3D printer monitor method in order to overcome prior art, provide a kind of networking 3D printer monitor method, the printer that wherein can print same material in each 3D printer is networked in same sub-network, and this method for supervising comprises:
(1) the anticipated workload information of each 3D printer is monitored;
(2) operating mode of each 3D printer is gathered;
(3) complexity of each 3D printer is calculated;
(4) determine to need to grow most in each 3D printer according to the anticipated workload information of each 3D printer and complexity and the 3D printer of the shortest working time;
(5) according to the longest and shortest time of step (4), print out task is redistributed;
(6) upgrade the anticipated workload information of each 3D printer, and return step (1), again monitor the printing operating mode of the next parts of each 3D printer.
Further, described anticipated workload information comprises the expection doses of parts to be printed.
Further, described operating mode comprises the actual schedule of parts to be printed.
Further, described actual schedule comprises actual doses and drawing Percent Complete.
Further, complexity=reality doses/(the actual spended time) 2 of described step (3).
Further, the step calculating real work and need the time is also comprised before described step (4).
Further, described step (5) comprises according to described complexity formation chained list, and according to chained list, each 3D printer next step task after completing himself print out task is shifted, thus produce new print out task for each 3D printer.
Further, described displacement is carried out the result after least square computing minimum according to the task complexity of each node after displacement on chained list with material usage rate is principle.
The invention has the beneficial effects as follows: dynamically can distribute print out task according to history performance during each printer printing parts, when shortening printing complex part substantially, each 3D printer of networking needs the T.T. of consumption, to improve work efficiency.
Accompanying drawing explanation
Fig. 1 shows process flow diagram according to a preferred embodiment of the invention.
Embodiment
As shown in Figure 1, networking 3D printer monitor method of the present invention realizes based on the 3D printer of multiple stage networking, and the printer that wherein can print same material in each 3D printer is networked in same sub-network.Method of the present invention comprises the steps:
(1) the anticipated workload information of each 3D printer is monitored;
(2) operating mode of each 3D printer is gathered;
(3) complexity of each 3D printer is calculated;
(4) determine to need to grow most in each 3D printer according to the anticipated workload information of each 3D printer and complexity and the 3D printer of the shortest working time;
(5) according to the longest and shortest time of step (4), print out task is redistributed;
(6) upgrade the anticipated workload information of each 3D printer, and return step (1), again monitor the printing operating mode of the next parts of each 3D printer.
Preferably, described anticipated workload information comprises the expection doses of parts to be printed.
Preferably, described operating mode comprises the actual schedule of parts to be printed.
Preferably, described actual schedule comprises actual doses and drawing Percent Complete.
Preferably, complexity=reality doses/(the actual spended time) 2 of described step (3).
Preferably, the step calculating real work and need the time is also comprised before described step (4).
Preferably, described step (5) comprises according to described complexity formation chained list, and is shifted to each 3D printer next step task after completing himself print out task according to chained list, thus produces new print out task for each 3D printer.
Preferably, described displacement is carried out the result after least square computing minimum according to the task complexity of each node after displacement on chained list with material usage rate is principle.
To those skilled in the art, the above embodiment of the present invention amendment and improve may become obvious.Description is above intended to exemplary instead of restrictive.Therefore, the present invention is intended to only be limited by the scope of appended claims.
Claims (8)
1. a networking 3D printer monitor method, the printer that wherein can print same material in each 3D printer is networked in same sub-network, and this method for supervising comprises:
(1) the anticipated workload information of each 3D printer is monitored;
(2) operating mode of each 3D printer is gathered;
(3) complexity of each 3D printer is calculated;
(4) determine to need to grow most in each 3D printer according to the anticipated workload information of each 3D printer and complexity and the 3D printer of the shortest working time;
(5) according to the longest and shortest time of step (4), print out task is redistributed;
(6) upgrade the anticipated workload information of each 3D printer, and return step (1), again monitor the printing operating mode of the next parts of each 3D printer.
2. method according to claim 1, is characterized in that, described anticipated workload information comprises the expection doses of parts to be printed.
3. method according to claim 1, is characterized in that, described operating mode comprises the actual schedule of parts to be printed.
4. method according to claim 3, is characterized in that, described actual schedule comprises actual doses and drawing Percent Complete.
5. method according to claim 1, is characterized in that, complexity=reality doses/(the actual spended time) of described step (3)
2.
6. method according to claim 1, is characterized in that, also comprises the step calculating real work and need the time before described step (4).
7. method according to claim 1, it is characterized in that, described step (5) comprises according to described complexity formation chained list, and according to chained list, each 3D printer next step task after completing himself print out task is shifted, thus produce new print out task for each 3D printer.
8. method according to claim 1, is characterized in that, it is principle that described displacement is carried out the result after least square computing minimum according to the task complexity of each node after displacement on chained list with material usage rate.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510711268.0A CN105183613A (en) | 2015-10-28 | 2015-10-28 | Networked 3D printer monitoring method |
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| CN201510711268.0A CN105183613A (en) | 2015-10-28 | 2015-10-28 | Networked 3D printer monitoring method |
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| CN105183613A true CN105183613A (en) | 2015-12-23 |
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| CN201510711268.0A Pending CN105183613A (en) | 2015-10-28 | 2015-10-28 | Networked 3D printer monitoring method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105447644A (en) * | 2015-12-01 | 2016-03-30 | 西南石油大学 | 3D printer based cloud manufacturing service system |
| CN109388354A (en) * | 2017-08-02 | 2019-02-26 | 精工爱普生株式会社 | Server system, terminal installation and their working method, storage medium |
| WO2019051950A1 (en) * | 2017-09-18 | 2019-03-21 | 平安科技（深圳）有限公司 | Scanning device selection method and apparatus, storage medium and computer equipment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005182656A (en) * | 2003-12-22 | 2005-07-07 | Nippon Steel Corp | Method and system for collecting working result |
| CN103631694A (en) * | 2013-12-10 | 2014-03-12 | 山东中创软件工程股份有限公司 | Server monitoring method and device in homemade environment |
| CN104780214A (en) * | 2015-04-20 | 2015-07-15 | 河海大学常州校区 | Cloud manufacturing system and method based on cloud computing and three-dimensional printing |
-
2015
- 2015-10-28 CN CN201510711268.0A patent/CN105183613A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005182656A (en) * | 2003-12-22 | 2005-07-07 | Nippon Steel Corp | Method and system for collecting working result |
| CN103631694A (en) * | 2013-12-10 | 2014-03-12 | 山东中创软件工程股份有限公司 | Server monitoring method and device in homemade environment |
| CN104780214A (en) * | 2015-04-20 | 2015-07-15 | 河海大学常州校区 | Cloud manufacturing system and method based on cloud computing and three-dimensional printing |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105447644A (en) * | 2015-12-01 | 2016-03-30 | 西南石油大学 | 3D printer based cloud manufacturing service system |
| CN109388354A (en) * | 2017-08-02 | 2019-02-26 | 精工爱普生株式会社 | Server system, terminal installation and their working method, storage medium |
| CN109388354B (en) * | 2017-08-02 | 2021-11-12 | 精工爱普生株式会社 | Server system, terminal device, method of operating the same, and storage medium |
| WO2019051950A1 (en) * | 2017-09-18 | 2019-03-21 | 平安科技（深圳）有限公司 | Scanning device selection method and apparatus, storage medium and computer equipment |
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Application publication date: 20151223 |