CN115617285B - Printing equipment management method and system of 3D cluster printing system and storage medium - Google Patents
Printing equipment management method and system of 3D cluster printing system and storage medium Download PDFInfo
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- CN115617285B CN115617285B CN202211619190.6A CN202211619190A CN115617285B CN 115617285 B CN115617285 B CN 115617285B CN 202211619190 A CN202211619190 A CN 202211619190A CN 115617285 B CN115617285 B CN 115617285B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/12—Digital output to print unit, e.g. line printer, chain printer
- G06F3/1201—Dedicated interfaces to print systems
- G06F3/1202—Dedicated interfaces to print systems specifically adapted to achieve a particular effect
- G06F3/1203—Improving or facilitating administration, e.g. print management
- G06F3/1204—Improving or facilitating administration, e.g. print management resulting in reduced user or operator actions, e.g. presetting, automatic actions, using hardware token storing data
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B29—WORKING OF PLASTICS; WORKING OF SUBSTANCES IN A PLASTIC STATE IN GENERAL
- B29C—SHAPING OR JOINING OF PLASTICS; SHAPING OF MATERIAL IN A PLASTIC STATE, NOT OTHERWISE PROVIDED FOR; AFTER-TREATMENT OF THE SHAPED PRODUCTS, e.g. REPAIRING
- B29C64/00—Additive manufacturing, i.e. manufacturing of three-dimensional [3D] objects by additive deposition, additive agglomeration or additive layering, e.g. by 3D printing, stereolithography or selective laser sintering
- B29C64/30—Auxiliary operations or equipment
- B29C64/386—Data acquisition or data processing for additive manufacturing
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B33—ADDITIVE MANUFACTURING TECHNOLOGY
- B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
- B33Y50/00—Data acquisition or data processing for additive manufacturing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/12—Digital output to print unit, e.g. line printer, chain printer
- G06F3/1201—Dedicated interfaces to print systems
- G06F3/1202—Dedicated interfaces to print systems specifically adapted to achieve a particular effect
- G06F3/1211—Improving printing performance
- G06F3/1212—Improving printing performance achieving reduced delay between job submission and print start
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/12—Digital output to print unit, e.g. line printer, chain printer
- G06F3/1201—Dedicated interfaces to print systems
- G06F3/1278—Dedicated interfaces to print systems specifically adapted to adopt a particular infrastructure
- G06F3/1292—Mobile client, e.g. wireless printing
Abstract
The invention discloses a printing equipment management method based on a 3D cluster printing system, wherein when a printing request submitted by a user through a client is received, the 3D cluster printing system automatically distributes 3D cluster printing nodes according to identification information of the client, the 3D cluster printing system counts 3D printing requirements submitted by the user through the client in a first preset time period, and the 3D printing requirements comprise the types of required 3D printers; optimizing the layout of printing equipment of the 3D cluster printing nodes according to the 3D printing requirement; counting the printing completion time from the printing model submission to the printing node automatically distributed by the system by the user in the first preset time period and recording the printing completion time as first time, and counting the printing completion time to the delivery completion time of the printed product and recording the printing completion time as second time; and managing the type and the number of the devices in the nodes according to the first time, and increasing and decreasing the 3D cluster printing nodes according to the second time.
Description
Technical Field
The invention relates to the technical field of 3D printing control, in particular to a printing equipment management method and system based on a 3D cluster printing system and a storage medium.
Background
The 3D printer is a machine of a rapid prototyping technology, and is a technology for constructing an object by using materials such as special wax materials, powdered metals, photosensitive resin, PLA consumables and the like in a layer-by-layer printing mode on the basis of a digital model file. Are often used in the fields of mold making, industrial design, etc. for making models or for direct manufacture of some products.
In the prior art, the 3D cluster printing mode is that a plurality of central server control ends are simultaneously connected with a plurality of upper computer control ends of a 3D printer, so that a plurality of tasks can be concurrently printed, the 3D printer hardware is mutually independent, and the real-time performance is good. However, in the existing internet cluster 3D printing, a plurality of printing nodes are often set in consideration of printing efficiency and distribution efficiency, however, how to configure the 3D printing nodes and the types and the number of devices in the printing nodes are a problem to be considered by a manager.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. To this end, the invention discloses a printing device management method based on a 3D cluster printing system, wherein the 3D cluster printing system is wirelessly connected with a user client, the 3D cluster printing system comprises a plurality of 3D cluster printing nodes, and the method comprises the following steps:
step 1, when a 3D cluster printing system receives a printing request submitted by a user through a client, the 3D cluster printing system automatically distributes 3D cluster printing nodes according to identification information of the client, the 3D cluster printing system counts 3D printing requirements submitted by the user through the client in a first preset time period, wherein the 3D printing requirements comprise the type of a required 3D printer;
step 2, optimizing the layout of printing equipment of the 3D cluster printing node according to the 3D printing requirement;
step 3, counting the printing completion time from the submission of the printing model to the printing node automatically distributed by the system by the user in the first preset time period and recording the printing completion time as the first time, and counting the delivery completion time from the printing completion time to the printed product and recording the delivery completion time as the second time;
and 4, managing the types and the number of the devices in the nodes according to the first time, and increasing and decreasing the 3D cluster printing nodes according to the second time.
Still further, the step 4 further comprises:
step 401, after optimizing the layout of the printing devices of the 3D cluster printing nodes, for any node, comparing the printing completion time length after optimization with the first time to determine whether the optimization condition meets an expected value set by a manager, if so, recording the number and type of the printing devices of the node, removing redundant printing devices, if not, sending a node label corresponding to optimization and an optimization result to a manager in a preset communication mode, and the manager continuously optimizes the printing device distribution of the node;
step 402, by comparing the optimized time length from printing completion to delivery with the second time, it is determined whether the number of 3D cluster printing nodes needs to be increased, where the added 3D printing nodes are redundant devices in the step 4.
Still further, the optimizing the layout of the printing devices of the 3D clustered printing node further comprises: when each node is set, the node comprises multiple types of printing equipment and carries out redundancy configuration, a manager carries out load evaluation on any node, and only corresponding quantity and types of equipment are initially evaluated in an open mode for the printing equipment in the node.
Further, the optimizing the layout of the printing device of the 3D cluster printing node according to the 3D printing requirement further includes: when a user performs 3D printing, the device type and the selected material of a 3D printer need to be selected through a front-end platform of a 3D cluster printing system, and the 3D cluster printing system is used for counting the printing duration and the receiving and sending duration corresponding to the distributed nodes according to the device type selected by the user as index information of the statistical timing.
Furthermore, the 3D cluster printing system automatically allocates the 3D cluster printing node according to the identification information of the client further includes that the identification information of the client is an identification representing a location where the user is located, and is one of an IP address, a communication address uploaded by the client, and address information logged in when the client hardware identification is registered.
Still further, the counting and recording the printing completion time from the submission of the printing model to the printing node automatically allocated by the system as the first time within the first preset time period further comprises: and respectively counting the time lengths of 3D printing corresponding to different types of equipment.
Still further, the first time further comprises:
wherein t1 is the printing completion time length, namely the first time, n, m and x are the user use times corresponding to different equipment types in the node,
in order to correspond to the completion time period of printing,
and correction coefficients corresponding to different 3D printing device types.
Further, the step of judging whether the optimized printing completion time length and the first time are consistent with an expected value set by an administrator by comparing the optimized printing completion time length and the first time further comprises that the administrator presets an expected value, and the optimized printing completion time length is divided by the first time, and when the obtained value is smaller than the expected value, the condition is judged to be not met.
The invention also discloses an electronic system, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps in the method for managing a printing device based on a 3D cluster printing system as described above when executing the computer program.
The invention also discloses a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the steps of the printing device management method based on the 3D cluster printing system.
Compared with the prior art, the invention has the beneficial effects that: the invention sets a new node layout method for a 3D printing node of a plurality of nodes, preferentially lays a small number of nodes, then performs redundancy configuration on equipment in the nodes, namely each node contains excessive different types of 3D printing equipment to meet different requirements of a user who prints a 3D cluster, then optimizes the number and types of the equipment in the nodes by counting the using condition and the delivery time, and then lays new nodes for the second time on the removed redundant equipment to reduce the delivery time.
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The invention will be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. In the drawings, like reference numerals designate corresponding parts throughout the different views.
Fig. 1 is a flowchart of a printing device management method of a 3D cluster printing system of the present invention.
Detailed Description
The technical solution of the present invention will be described in more detail with reference to the accompanying drawings and examples.
A mobile terminal implementing various embodiments of the present invention will now be described with reference to the accompanying drawings. In the following description, suffixes such as "module", "component", or "unit" used to denote elements are used only for facilitating the explanation of the present invention, and have no specific meaning in themselves. Thus, "module" and "component" may be used in a mixture.
The mobile terminal may be implemented in various forms. For example, the terminal described in the present invention may include a mobile terminal such as a mobile phone, a smart phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a navigation device, and the like, and a fixed terminal such as a digital TV, a desktop computer, and the like. In the following, it is assumed that the terminal is a mobile terminal. However, it will be understood by those skilled in the art that the configuration according to the embodiment of the present invention can be applied to a fixed type terminal in addition to elements particularly used for moving purposes.
As shown in fig. 1, a printing device management method based on a 3D cluster printing system, where the 3D cluster printing system is wirelessly connected to a user client, the 3D cluster printing system includes a plurality of 3D cluster printing nodes, and the method includes the following steps:
step 1, when the 3D cluster printing system receives a printing request submitted by a user through a client, the 3D cluster printing system automatically distributes 3D cluster printing nodes according to identification information of the client, and the 3D cluster printing system counts 3D printing requirements submitted by the user through the client in a first preset time period, wherein the 3D printing requirements comprise types of required 3D printers;
step 2, optimizing the layout of printing equipment of the 3D cluster printing node according to the 3D printing requirement;
step 3, counting the printing completion time from the submission of the printing model to the printing node automatically distributed by the system by the user in the first preset time period and recording the printing completion time as the first time, and counting the delivery completion time from the printing completion time to the printed product and recording the delivery completion time as the second time;
and 4, managing the types and the number of the devices in the nodes according to the first time, and increasing and decreasing the 3D cluster printing nodes according to the second time.
Still further, the step 4 further comprises:
step 401, after optimizing the layout of the printing devices of the 3D cluster printing nodes, for any node, comparing the printing completion time length after optimization with the first time to determine whether the optimization condition meets an expected value set by a manager, if so, recording the number and type of the printing devices of the node, removing redundant printing devices, if not, sending a node label corresponding to optimization and an optimization result to a manager in a preset communication mode, and the manager continuously optimizes the printing device distribution of the node;
step 402, by comparing the optimized time length from printing completion to delivery with the second time, it is determined whether the number of 3D cluster printing nodes needs to be increased, where the added 3D printing nodes are redundant devices in the step 4.
Still further, the optimizing the layout of the printing devices of the 3D clustered printing node further comprises: when each node is set up, the node comprises a plurality of types of printing equipment and carries out redundancy configuration, a manager carries out load evaluation on any node, and only equipment with corresponding quantity and types is initially evaluated in an open mode on the printing equipment in the node.
Further, the optimizing the layout of the printing device of the 3D cluster printing node according to the 3D printing requirement further includes: when a user performs 3D printing, the device type and the selected material of a 3D printer need to be selected through a front-end platform of a 3D cluster printing system, and the 3D cluster printing system is used for counting the printing duration and the receiving and sending duration corresponding to the distributed nodes according to the device type selected by the user as index information of the statistic.
Furthermore, the 3D cluster printing system automatically allocates the 3D cluster printing node according to the identification information of the client further includes that the identification information of the client is an identification representing a location where the user is located, and is one of an IP address, a communication address uploaded by the client, and address information logged in when the client hardware identification is registered.
Still further, the counting and recording the printing completion time from the submission of the printing model to the printing node automatically allocated by the system as the first time within the first preset time period further comprises: and respectively counting the time lengths of 3D printing corresponding to different types of equipment.
Still further, the first time further comprises:
wherein t1 is the printing completion time length, namely the first time, n, m and x are the user times corresponding to different equipment types in the node,
in order to correspond to the completion time period of printing,
and correction coefficients corresponding to different 3D printing device types.
Further, for any node, the step of judging whether the optimized printing completion time length is in accordance with an expected value set by a manager by comparing the optimized printing completion time length with the first time further comprises that the manager presets an expected value, and the manager judges that the optimized printing completion time length is not in accordance with the first time by dividing the optimized printing completion time length by the first time when the obtained value is smaller than the expected value.
The invention also discloses an electronic system comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps in the method for managing a printing device based on a 3D cluster printing system as described above when executing the computer program.
The invention also discloses a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to realize the steps of the printing device management method based on the 3D cluster printing system.
In this embodiment, the administrator to be emphasized makes load evaluation on any node, initially only opens to evaluate the corresponding number and types of devices for the printing devices in the node, and actually should evaluate the types and numbers of devices that may be needed, and then subtracts from the node to reduce redundancy of the devices, for example, the user requirement of the distribution range covered by the a node evaluated by the administrator is a number of light-curing 3D devices, b number of heat-fusing 3D printing devices, and the like, although the a node includes more than a number of light-curing 3D printing devices, more than b number of heat-fusing 3D printing devices, and the like, initially only opens a number and b number of corresponding devices, and after the optimization is finished, it is found that the optimal configuration mode may be c number of light-curing 3D devices and D number of heat-fusing 3D printing devices, the a node may only retain the above optimized number of devices, so as to achieve optimization of the node.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of other like elements in a process, method, article, or apparatus comprising the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Although the invention has been described above with reference to various embodiments, it should be understood that many changes and modifications may be made without departing from the scope of the invention. It is therefore intended that the foregoing detailed description be regarded as illustrative rather than limiting, and that it be understood that it is the following claims, including all equivalents, that are intended to define the spirit and scope of this invention. The above examples are to be construed as merely illustrative and not limitative of the remainder of the disclosure. After reading the description of the invention, the skilled person can make various changes or modifications to the invention, and these equivalent changes and modifications also fall into the scope of the invention defined by the claims.
Claims (7)
1. A printing device management method based on a 3D cluster printing system is provided, the 3D cluster printing system is wirelessly connected with a user client, the 3D cluster printing system comprises a plurality of 3D cluster printing nodes, and the method is characterized by comprising the following steps:
step 1, when the 3D cluster printing system receives a printing request submitted by a user through a client, the 3D cluster printing system automatically distributes 3D cluster printing nodes according to identification information of the client, and the 3D cluster printing system counts 3D printing requirements submitted by the user through the client in a first preset time period, wherein the 3D printing requirements comprise types of required 3D printers;
step 2, optimizing the layout of printing equipment of the 3D cluster printing node according to the 3D printing requirement;
step 3, counting in the second stepThe printing completion time from the submission of the printing model to the printing node automatically distributed by the system in a preset time period is recorded as a first time, and then the printing completion time to the delivery completion time of the printed product is counted and recorded as a second time, wherein the first time further comprises the following steps:
wherein t1 is the printing completion time length, namely the first time, n, m and x are the user times corresponding to different equipment types in the node,
in order to correspond to the completion time period of printing,
correction coefficients corresponding to different types of 3D printing equipment;
step 4, managing the types and the number of the devices in the nodes according to the first time, and increasing or decreasing the 3D cluster printing nodes according to the second time, wherein the step 4 further comprises:
step 401, after optimizing the layout of the printing devices of the 3D cluster printing nodes, for any node, comparing the optimized printing completion time length with the first time to determine whether the optimized condition meets an expected value set by a manager, if so, recording the number and type of the printing devices of the node, removing redundant printing devices, if not, sending the optimized corresponding node label and the optimized result to a manager through a preset communication mode, and continuing optimizing the printing device distribution of the node by the manager, wherein, for any node, comparing the optimized printing completion time length with the first time to determine whether the optimized condition meets the expected value set by the manager further includes that the manager presets an expected value, dividing the optimized printing completion time length with the first time, and when the obtained value is less than the expected value, determining that the optimized printing completion time length does not meet the expected value;
step 402, by comparing the optimized time length from printing completion to delivery with the second time, it is determined whether the number of 3D cluster printing nodes needs to be increased, where the added devices in the 3D printing nodes are the redundant devices in step 4.
2. The method for managing printing devices based on the 3D cluster printing system according to claim 1, wherein the optimizing the layout of the printing devices of the 3D cluster printing node further comprises: when each node is set, the node comprises multiple types of printing equipment and carries out redundancy configuration, a manager carries out load evaluation on any node, and only corresponding quantity and types of equipment are initially evaluated in an open mode for the printing equipment in the node.
3. The method for managing printing devices based on the 3D cluster printing system according to claim 2, wherein the optimizing the layout of the printing devices of the 3D cluster printing nodes according to the 3D printing requirements further comprises: when a user performs 3D printing, the device type and the selected material of a 3D printer need to be selected through a front-end platform of a 3D cluster printing system, and the 3D cluster printing system is used for counting the printing duration and the receiving and sending duration corresponding to the distributed nodes according to the device type selected by the user as index information of the statistic.
4. The method as claimed in claim 2, wherein the 3D cluster printing system automatically allocates the 3D cluster printing nodes according to the identification information of the client, further comprising the identification information of the client being an identification representing a location of the user and being one of an IP address, a communication address uploaded by the client, and address information of a login of a client hardware identification at the time of registration.
5. The method of claim 2, wherein the counting and recording as the first time the printing completion time from the submission of the printing model to the printing node automatically assigned by the system within the first preset time period further comprises: and respectively counting the time lengths of 3D printing corresponding to different types of equipment.
6. An electronic system, comprising: memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps in the method for managing printing devices based on a 3D cluster printing system according to any of the claims 1 to 5 when executing the computer program.
7. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, carries out the steps of the method for managing printing devices based on a 3D cluster printing system as claimed in any one of the claims 1 to 5.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JP3270400B2 (en) * | 1998-08-17 | 2002-04-02 | エヌイーシーソフト株式会社 | Print processing cluster system |
| US6606162B1 (en) * | 1999-07-21 | 2003-08-12 | Hewlett-Packard Development Company, L.P. | Network printer groups |
| JP2001312393A (en) * | 2000-05-01 | 2001-11-09 | Seiko Epson Corp | Print service management system and management server |
| US20040218201A1 (en) * | 2003-04-30 | 2004-11-04 | Pierre Lermant | Methods and apparatus for dynamically configuring cluster printing systems |
| CN102830946B (en) * | 2012-08-06 | 2014-11-05 | 电子科技大学 | Network printing system under private cloud environment for massive seismic data processing |
| CN103559001A (en) * | 2013-09-25 | 2014-02-05 | 艾塔斯科技（镇江）有限公司 | Network printing system and printing method for network printing systems |
| CN104780214B (en) * | 2015-04-20 | 2018-07-27 | 河海大学常州校区 | Cloud manufacture system based on cloud computing and 3 D-printing |
| EP3217271A1 (en) * | 2016-03-09 | 2017-09-13 | ArifiQ Development AB | A system and a method for optimizing a print production process |
| EP3263316B1 (en) * | 2016-06-29 | 2019-02-13 | VELO3D, Inc. | Three-dimensional printing and three-dimensional printers |
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