CN116880788A - 3d printer control system based on cloud service - Google Patents
3d printer control system based on cloud service Download PDFInfo
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- CN116880788A CN116880788A CN202311139915.6A CN202311139915A CN116880788A CN 116880788 A CN116880788 A CN 116880788A CN 202311139915 A CN202311139915 A CN 202311139915A CN 116880788 A CN116880788 A CN 116880788A
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- 238000004364 calculation method Methods 0.000 claims description 9
- 230000000875 corresponding effect Effects 0.000 description 27
- 238000013139 quantization Methods 0.000 description 10
- 230000000694 effects Effects 0.000 description 4
- 238000000034 method Methods 0.000 description 4
- 230000002596 correlated effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
Classifications
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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
-
- 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
-
- 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
-
- 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
- G06F3/1285—Remote printer device, e.g. being remote from client or server
- G06F3/1289—Remote printer device, e.g. being remote from client or server in server-client-printer device configuration, e.g. the server does not see the printer
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Materials Engineering (AREA)
- Human Computer Interaction (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Manufacturing & Machinery (AREA)
- Mechanical Engineering (AREA)
- Optics & Photonics (AREA)
- Accessory Devices And Overall Control Thereof (AREA)
Abstract
The application particularly relates to a cloud service-based 3D printer control system, which comprises a sensing signal acquisition unit, a driving signal acquisition unit and a state signal acquisition unit, wherein the sensing signal acquisition unit is used for acquiring a sensing signal of a printer local area and transmitting the sensing signal to an online server, the driving signal acquisition unit is used for acquiring a driving signal of the printer local area and transmitting the driving signal to the online server, the state signal acquisition unit is used for acquiring a state signal of the printer local area and transmitting the state signal to the online server, the online server calculates a network resource consumption signal value through the sensing signal of the printer local area, the driving signal of the printer local area and the state signal of the printer local area together, and the online server accurately judges the working state of the 3D printer through the network resource consumption signal value and then properly distributes network resources.
Description
Technical Field
The application belongs to the field of printing control, and particularly relates to a 3d printer control system based on cloud services.
Background
Existing 3D printers typically require a cloud server to interact because the cloud server is typically required to provide data services, such as converting or slicing files, etc. In the prior art, however, cloud servers generally provide time slices or polling services for each 3D printer equally in interacting with the 3D printer. However, in the prior art, a local processor or a local controller of the 3D printer generally only feeds back simple state information such as startup, shutdown or standby for a cloud server, and cannot provide more accurate working state information of the 3D printer, so that the cloud server is difficult to effectively and accurately judge the working state of the 3D printer, and network resources cannot be properly allocated. This creates difficulties for network resource optimization of the cloud server.
Disclosure of Invention
The application aims to provide a 3d printer control system based on cloud service, which aims to solve the problems in the background technology.
In order to solve the technical problems, the application provides the following technical scheme:
the 3D printer control system based on cloud service comprises a sensing signal acquisition unit, a driving signal acquisition unit and a state signal acquisition unit, wherein the sensing signal acquisition unit, the driving signal acquisition unit and the state signal acquisition unit are electrically connected with an online server through a network interface or a local controller, the sensing signal acquisition unit is used for acquiring a sensing signal of a printer local part and transmitting the sensing signal to the online server, the driving signal acquisition unit is used for acquiring a driving signal of the printer local part and transmitting the driving signal to the online server, the state signal acquisition unit is used for acquiring a state signal of the printer local part and transmitting the state signal to the online server, the online server calculates a network resource consumption signal value through the sensing signal of the printer local part, the driving signal of the printer local part and the state signal of the printer local part, and the online server accurately judges the working state of the 3D printer through the network resource consumption signal value and then properly distributes network resources.
Further, the sensing signals local to the printer include temperature sensing signals.
Further, the drive signals local to the printer include PWM signals.
Further, status signals local to the printer, including signal light status signals.
Further, on-line serverThe method comprises calculating a network resource consumption signal value by a sensing signal local to the printer, a driving signal local to the printer and a state signal local to the printer, wherein the method specifically comprises the steps of calculating the network resource consumption signal value q, q= (x-a) m /（b m X m), wherein x is the quantized value corresponding to the drive signal local to the printer, a is the quantized value corresponding to the status signal local to the printer, b is the quantized value corresponding to the sensor signal local to the printer, m is the time amount, and the calculated network resource consumption signal value q is essentially a time series value commonly constrained by the drive signal local to the printer, the status signal local to the printer, and the sensor signal local to the printer and related to the change of the time amount.
Further, the selected amount of time m is infinity, the second computing network resource consumption signal value q2 is calculated, specifically, the second computing network resource consumption signal value q2=(x-a) m /（b m X m), wherein x is a quantized value corresponding to a driving signal of the printer local, a is a quantized value corresponding to a status signal of the printer local, b is a quantized value corresponding to a sensing signal of the printer local, and the convergence interval of the second calculation network resource consumption signal value is calculated when the calculation time is infinite, and the future maximum resource consumption status of the printer is judged by judging whether the convergence interval exceeds a preset interval or not; the server can further optimally configure network resources according to the future maximum resource consumption state of the printer.
Further, the online server accurately judges the working state of the 3D printer through the network resource consumption signal value, specifically, the online server acquires the working state of the 3D printer through comparison of the network resource consumption signal value and a threshold value.
Compared with the prior art, the application has the beneficial effects that: the application can calculate a network resource consumption signal value together by the online server through the local sensing signal of the printer, the local driving signal of the printer and the local state signal of the printer, and the online server accurately judges the working state of the 3D printer through the network resource consumption signal value and then properly distributes network resources, thereby solving the problems in the prior art.
Drawings
FIG. 1 is a block diagram of a 3d printer control system based on cloud services of the present application;
fig. 2 is a block diagram of another 3d printer control system based on cloud services according to the present application.
Detailed Description
The technical solutions of the embodiments of the present application will be clearly and completely described below in conjunction with the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The application discloses a 3d printer control system based on cloud service, as shown in fig. 1 or 2, comprising a sensing signal acquisition unit, a driving signal acquisition unit and a state signal acquisition unit, wherein the sensing signal acquisition unit, the driving signal acquisition unit and the state signal acquisition unit are all electrically connected with an online server through a network interface or a local controller, and in implementation, the sensing signal acquisition unit, the driving signal acquisition unit and the state signal acquisition unit are all local hardware circuits, such as a sensing signal local to a printer, and comprise a temperature sensing signal, and the sensing signal acquisition unit comprises a temperature acquisition circuit; the local driving signal of the printer comprises a PWM signal, and the driving signal acquisition unit comprises a sending circuit of the PWM signal; the local status signal of the printer comprises a signal lamp status signal, and the status signal acquisition unit comprises a circuit of the signal lamp, such as a light emitting diode circuit; the system comprises a sensing signal acquisition unit, a driving signal acquisition unit, a state signal acquisition unit and a network interface, wherein the sensing signal acquisition unit is used for acquiring a sensing signal of a printer local and transmitting the sensing signal to an online server;
the online server calculates a network resource consumption signal value through a sensing signal local to the printer, a driving signal local to the printer and a state signal local to the printer, and specifically comprises the steps of calculating the network resource consumption signal value q, q= (x-a) m /（b m X m), wherein x is a quantized value corresponding to a driving signal local to the printer, a is a quantized value corresponding to a status signal local to the printer, b is a quantized value corresponding to a sensing signal local to the printer, m is a time amount, and the calculated network resource consumption signal value q is essentially a time sequence value which is commonly constrained by the driving signal local to the printer, the status signal local to the printer, and the sensing signal local to the printer and changes with respect to the time amount; in the calculation of the drive signal value of the computing network resource consumption effect, the drive signal corresponding quantization value of the printer local is the most and positively correlated, the drive signal corresponding quantization value of the printer local is at the molecular position and corresponds to the power of an amount of time, the sensor signal corresponding quantization value of the printer local is also capable of strongly characterizing the effect on the computing network resource consumption effect, the drive signal corresponding quantization value of the printer local is used for counteracting a part of the drive signal corresponding quantization value of the printer local, because the processing configures the sensor signal corresponding quantization value of the printer local and the computing network resource consumption as negatively correlated, the sensor signal corresponding quantization value of the printer local is processed as the position of the negative correlation and is increased by one power of an amount of time, the state signal representing capacity of the printer local is the weakest in the effect on the computing network resource consumption, the state signal corresponding quantization value of the printer local and the drive signal corresponding quantization value of the printer local are put together for counteracting a part of the drive signal corresponding quantization value of the printer local, and the computing network resource consumption is established hereThe local signal of the printer characterizes the consumption of the computing network resources, particularly the influence on the consumption of the computing network resources with time, in the process of computing the network resource consumption signal value q, the quantized value corresponding to the local signal of the printer can be directly measured, one time measuring tool specific computing network resource consumption signal value q is required to be selected, and the working state of the 3D printer can be primarily and accurately judged according to the selected one time measuring tool specific computing network resource consumption signal value q;
assuming that the selected one of the amounts of time is infinite, the second computing network resource consumption signal value q2 is also enabled, specifically, let the second computing network resource consumption signal value q2=(x-a) m /（b m X m), calculating a convergence interval of the second calculation network resource consumption signal value when the time amount is infinite, and judging the future maximum resource consumption state of the printer by judging whether the convergence interval exceeds a preset interval or not; the server can further optimally configure network resources according to the future maximum resource consumption state of the printer; in practice, for example, a=1, b=2, i.e. the second computing network resource consumption signal value q2= =>(x-1) m /（2 m X m), the convergence interval for determining the value of x can be calculated to be-1 to 3, which means that the second calculation network resource consumption signal value is not infinitely large and bounded as long as the local drive signal corresponding quantized value of the printer is in the interval, no matter how long the time is; therefore, the server can predict the future maximum resource consumption state of the printer according to the second computing network resource consumption signal value q2, so that the network resource can be further optimally configured;
the online server accurately judges the working state of the 3D printer through the network resource consumption signal value, specifically, the online server acquires the working state of the 3D printer through comparison of the network resource consumption signal value and a threshold value, the online server accurately judges the working state of the 3D printer through the network resource consumption signal value, and then network resources are properly distributed.
In the embodiment to be protected, the application discloses a 3d printer control system based on cloud service, which comprises a sensing signal acquisition unit, a driving signal acquisition unit and a state signal acquisition unit, wherein the sensing signal acquisition unit, the driving signal acquisition unit and the state signal acquisition unit are electrically connected with an online server through a network interface or a local controller, the sensing signal acquisition unit is used for acquiring a sensing signal local to the printer and transmitting the sensing signal to the online server, the driving signal acquisition unit is used for acquiring a driving signal local to the printer and transmitting the driving signal to the online server,
the state signal acquisition unit is used for acquiring a state signal of the printer local and sending the state signal to the online server, the online server calculates a network resource consumption signal value through the sensing signal of the printer local, the driving signal of the printer local and the state signal of the printer local together, and the online server accurately judges the working state of the 3D printer through the network resource consumption signal value and then properly distributes network resources.
The implementation process comprises the steps that a sensing signal acquisition unit acquires a sensing signal local to a printer and sends the sensing signal to an online server, a driving signal acquisition unit acquires a driving signal local to the printer and sends the driving signal to the online server, a state signal acquisition unit acquires a state signal local to the printer and sends the state signal to the online server, the online server calculates a network resource consumption signal value through the sensing signal local to the printer, the driving signal local to the printer and the state signal local to the printer, and the online server accurately judges the working state of the 3D printer through the network resource consumption signal value and then properly distributes network resources.
Preferably, the sensing signal local to the printer comprises a temperature sensing signal.
Preferably, the drive signal local to the printer comprises a PWM signal.
Preferably, the status signal local to the printer comprises a signal light status signal.
Preferably, the online server is configured to send the sensor signal locally via the printerThe drive signal local to the printer and the status signal local to the printer together calculate a network resource consumption signal value, which specifically includes calculating the network resource consumption signal value q, q= (x-a) m /（b m X m), wherein x is the quantized value corresponding to the drive signal local to the printer, a is the quantized value corresponding to the status signal local to the printer, b is the quantized value corresponding to the sensor signal local to the printer, m is the time amount, and the calculated network resource consumption signal value q is essentially a time series value commonly constrained by the drive signal local to the printer, the status signal local to the printer, and the sensor signal local to the printer and related to the change of the time amount.
Preferably, the selected amount of time m is infinity, the second computing network resource consumption signal value q2 is calculated, in particular, the second computing network resource consumption signal value q2=(x-a) m /（b m X m), wherein x is a quantized value corresponding to a driving signal of the printer local, a is a quantized value corresponding to a status signal of the printer local, b is a quantized value corresponding to a sensing signal of the printer local, and the convergence interval of the second calculation network resource consumption signal value is calculated when the calculation time is infinite, and the future maximum resource consumption status of the printer is judged by judging whether the convergence interval exceeds a preset interval or not; the server can further optimally configure network resources according to the future maximum resource consumption state of the printer.
Preferably, the online server accurately judges the working state of the 3D printer through the network resource consumption signal value, specifically, the online server acquires the working state of the 3D printer through comparing the network resource consumption signal value with a threshold value.
The application can calculate a network resource consumption signal value together by the online server through the local sensing signal of the printer, the local driving signal of the printer and the local state signal of the printer, and the online server accurately judges the working state of the 3D printer through the network resource consumption signal value and then properly distributes network resources, thereby solving the problems in the prior art.
Claims (7)
1. The 3D printer control system based on cloud service is characterized by comprising a sensing signal acquisition unit, a driving signal acquisition unit and a state signal acquisition unit, wherein the sensing signal acquisition unit, the driving signal acquisition unit and the state signal acquisition unit are electrically connected with an online server through a network interface or a local controller, the sensing signal acquisition unit is used for acquiring a sensing signal of a printer local area and transmitting the sensing signal to the online server, the driving signal acquisition unit is used for acquiring a driving signal of the printer local area and transmitting the driving signal to the online server, the state signal acquisition unit is used for acquiring a state signal of the printer local area and transmitting the state signal to the online server, the online server jointly calculates a network resource consumption signal value through the sensing signal of the printer local area, the driving signal of the printer local area and the state signal of the printer, and the online server judges the working state of the 3D printer through the network resource consumption signal value and then distributes network resources.
2. The cloud service based 3d printer control system of claim 1, wherein the printer local sensing signals comprise temperature sensing signals.
3. The cloud service based 3d printer control system of claim 1, wherein the drive signals local to the printer comprise PWM signals.
4. The cloud service based 3d printer control system of claim 1, wherein the printer local status signals comprise signal light status signals.
5. The 3d printer control system based on the cloud service as claimed in claim 1, wherein the online server calculates a network resource consumption signal value through the sensing signal local to the printer, the driving signal local to the printer, and the status signal local to the printer, specifically comprising,calculating a network resource consumption signal value q, q= (x-a) m /（b m X m), wherein x is the quantized value corresponding to the drive signal local to the printer, a is the quantized value corresponding to the status signal local to the printer, b is the quantized value corresponding to the sensor signal local to the printer, m is the time amount, and the calculated network resource consumption signal value q is essentially a time series value commonly constrained by the drive signal local to the printer, the status signal local to the printer, and the sensor signal local to the printer and related to the change of the time amount.
6. The cloud service-based 3d printer control system of claim 1, wherein the selected amount of time m is infinity, calculating the second computing network resource consumption signal value q2, and in particular, letting the second computing network resource consumption signal value q2 =(x-a) m /（b m X m), wherein x is a quantized value corresponding to a driving signal local to the printer, a is a quantized value corresponding to a status signal local to the printer, b is a quantized value corresponding to a sensing signal local to the printer, and the convergence interval of the second calculation network resource consumption signal value is calculated when the calculation time is infinite, and the future maximum resource consumption status of the printer is determined by determining whether the convergence interval exceeds a preset interval.
7. The cloud service-based 3D printer control system according to claim 1, wherein the online server accurately determines the operating state of the 3D printer through the network resource consumption signal value, specifically, the online server obtains the operating state of the 3D printer through comparing the network resource consumption signal value with a threshold value.
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| CN202311139915.6A CN116880788B (en) | 2023-09-06 | 2023-09-06 | 3d printer control system based on cloud service |
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| CN202311139915.6A CN116880788B (en) | 2023-09-06 | 2023-09-06 | 3d printer control system based on cloud service |
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| CN116880788B CN116880788B (en) | 2023-12-29 |
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| CN113071097A (en) * | 2021-04-30 | 2021-07-06 | 中国计量大学 | Controller of color 3D printer |
| US20230052457A1 (en) * | 2021-08-13 | 2023-02-16 | Zebra Technologies Corporation | Selecting a Printer Based on Proximity |
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