CN117962315B - Intelligent control system of 3D printing equipment - Google Patents
Intelligent control system of 3D printing equipment Download PDFInfo
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- CN117962315B CN117962315B CN202410370454.1A CN202410370454A CN117962315B CN 117962315 B CN117962315 B CN 117962315B CN 202410370454 A CN202410370454 A CN 202410370454A CN 117962315 B CN117962315 B CN 117962315B
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- 238000010146 3D printing Methods 0.000 title claims abstract description 20
- 238000007639 printing Methods 0.000 claims abstract description 360
- 239000000463 material Substances 0.000 claims abstract description 291
- 238000012544 monitoring process Methods 0.000 claims abstract description 146
- 230000033001 locomotion Effects 0.000 claims abstract description 49
- 238000013441 quality evaluation Methods 0.000 claims abstract description 39
- 230000001105 regulatory effect Effects 0.000 claims abstract description 23
- 238000004458 analytical method Methods 0.000 claims abstract description 16
- 230000001276 controlling effect Effects 0.000 claims abstract description 14
- 230000002159 abnormal effect Effects 0.000 claims description 38
- 230000005856 abnormality Effects 0.000 claims description 38
- 238000000034 method Methods 0.000 claims description 17
- 238000011156 evaluation Methods 0.000 claims description 6
- 239000012925 reference material Substances 0.000 claims description 6
- 238000012545 processing Methods 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 6
- 238000007792 addition Methods 0.000 description 4
- 238000005507 spraying Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
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Abstract
The invention relates to the technical field of intelligent control of 3D printing equipment, and particularly discloses an intelligent control system of 3D printing equipment, which comprises the following components: the system comprises a motion path accuracy analysis module, a material ejection quality evaluation module, a printing head temperature regulation module, a printing material quantity regulation module and a cloud database; according to the invention, by analyzing and feeding back the accuracy of the movement path of the printing head in the target 3D printer in the current monitoring time period, regulating and controlling the temperature of the printing head in the target 3D printer in the next monitoring time period and regulating and controlling the current printing material quantity of the target 3D printer, the printing precision and the printing efficiency of the target 3D printer are improved, and meanwhile, the temperature setting of the printing head can be better optimized, so that the printing quality and the stability of the printing head are improved, the possibility of reprinting caused by too little added material is reduced, unnecessary cost and time are reduced, and the on-time completion of a production plan is ensured.
Description
Technical Field
The invention relates to the technical field of intelligent control of 3D printing equipment, in particular to an intelligent control system of 3D printing equipment.
Background
With the continuous development of technology, 3D printing technology has become an important component of modern manufacturing industry, however, existing 3D printing devices have a plurality of problems in the printing process, so in order to improve the precision and efficiency of 3D printing, reduce the production cost, and need to intelligently control the 3D printer.
The existing intelligent control mode for the 3D printer has the following problems: 1. when the material flowing condition of a printing head in a 3D printer of a target is analyzed at present, the material spraying uniformity condition and the material spraying stability condition of the printing head are not combined at the same time to carry out comprehensive analysis, so that the accuracy of the material flowing condition analysis of the printing head is reduced, and meanwhile, even if the material flowing condition is good, the problems of printing quality reduction, printing head blockage and the like possibly occur if the spraying uniformity or stability is poor.
2. When the temperature of a printing head in the 3D printer of the current analysis target needs to be regulated or not, only whether the material ejection state of the printing head is abnormal or not is considered, and the material flow condition of the printing head is not considered, so that the accuracy of the temperature regulation of the printing head is reduced, the temperature setting of the printing head cannot be better optimized, and the printing quality and the stability of the printing head are reduced.
3. When analyzing whether the printing material amount of the target 3D printer needs to be added currently, the influence of the printing material consumption deviation of the unbound target 3D printer corresponding to each printing in the current monitoring period on the confirmation of the printing material amount needed by the current printing may cause excessive addition to cause material waste, and if the added material is too little, reprinting may be required, and unnecessary cost and time are increased to influence the production plan.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the above background art, an intelligent control system for a 3D printing apparatus is now proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides an intelligent control system of 3D printing equipment, which comprises the following components: the motion path accuracy analysis module is used for drawing a three-dimensional image of a target printing object on the target computer, transmitting preset motion path data of the printing head to the target 3D printer through the processing of the target computer, extracting the actual motion path of the printing head in the target 3D printer in the current monitoring time period, analyzing the motion path accuracy of the printing head in the target 3D printer in the current monitoring time period, stopping printing when the motion path accuracy of the printing head in the target 3D printer is smaller than the motion path accuracy of the set reference, and feeding back the motion path accuracy.
The material ejection quality evaluation module is used for extracting the set material ejection amount of the printing head in the target 3D printer in each monitoring time period, collecting the material ejection amount of the printing head in the target 3D printer in each monitoring time period and the gray level image corresponding to the material ejection, and analyzing the material ejection quality evaluation index of the printing head in the target 3D printer.
And the printing head temperature regulation and control module is used for indicating that the temperature of the printing head in the target 3D printer is abnormal when the material ejection quality evaluation index of the printing head in the target 3D printer is smaller than the material ejection quality evaluation index of the set reference, collecting the temperature of the printing head in the target 3D printer in the current monitoring time period and regulating and controlling the temperature of the printing head in the target 3D printer in the next monitoring time period.
The printing material quantity regulating and controlling module is used for extracting the printing object volume and the actual consumption printing material quantity of each printing corresponding to the target 3D printer in the current monitoring period, collecting the current printing object volume and the residual printing material quantity of the target 3D printer, and regulating and controlling the current printing material quantity of the target 3D printer.
The cloud database is used for storing gray values corresponding to the normal ejection states of materials of the printing heads in the target 3D printer, storing proper temperatures of the printing heads corresponding to the material ejection quality evaluation indexes, storing the quantity of the compensating printing materials corresponding to the abnormal consumption indexes of the unit printing materials, and storing the quantity of the required printing materials corresponding to the volume of the unit printing object.
Specifically, the motion path accuracy of the printing head in the analysis target 3D printer in the current monitoring time period is as follows: a1, extracting the preset motion path length of the printing head in the target 3D printer in the current monitoring time period from the preset motion path data of the printing head, and recording as。
A2, overlapping and comparing the actual movement path of the printing head in the target 3D printer in the current monitoring time period with a preset movement path to obtain the overlapping length of the movement path of the printing head in the target 3D printer in the current monitoring time period, and marking as。
A3, calculating the accuracy of the motion path of the printing head in the target 3D printer in the current monitoring time period，Wherein/>Indicating the motion path overlap length ratio of the set reference.
Specifically, the material ejection quality evaluation index of the printing head in the analysis target 3D printer comprises the following specific analysis processes: b1, setting a material flow abnormality index of a printing head in the target 3D printer based on the material ejection amount of the printing head in the target 3D printer in each monitoring time period。
B2, setting an abnormal index of the material ejection state of the printing head in the target 3D printer based on the gray level image corresponding to the material ejection of the printing head in the target 3D printer in each monitoring time period。
B3, calculating a material ejection quality evaluation index of a printing head in the target 3D printer，Wherein/>And/>Respectively representing the material flow abnormality index and the material ejection state abnormality index of the setting reference,/>And/>The set material flow abnormality index and the material ejection state abnormality index are respectively indicated, and the material ejection quality evaluation duty ratio is corresponding to the material ejection quality evaluation duty ratio.
Specifically, the setting of the abnormal material flow index of the printing head in the target 3D printer includes the following specific setting processes: c1, recording the material ejection amount of the printing head in the target 3D printer in each monitoring period asWherein/>Number indicating monitoring period,/>。
C2, calculating material ejection uniformity of printing head in target 3D printer，/>Wherein/>Indicating the total deviation of the discharge amount of the material of the set reference,/>Represents the/>Material emission per monitoring period,/>Representing natural constants.
C3, performing difference between the material ejection amount of the printing head in each monitoring time period in the target 3D printer and the set material ejection amount to obtain the material ejection amount deviation of the printing head in each monitoring time period in the target 3D printer, comparing the material ejection amount deviation with the set reference material ejection amount deviation, and if the material ejection amount deviation of a certain monitoring time period is greater than or equal to the set reference material ejection amount deviation, marking the monitoring time period as an abnormal monitoring time period, counting the number of the abnormal monitoring time periods and marking as the abnormal monitoring time period。
C4, extracting the maximum value from the deviation of the material ejection rate of the printing head in each monitoring time period in the target 3D printer, and marking the maximum value as。
C5, calculating the material ejection stability of the printing head in the target 3D printer，Wherein/>And/>Respectively represent the deviation of the duty ratio and the material ejection rate of the abnormality monitoring time period of the set reference,/>And/>Respectively representing the weight of the estimated duty ratio of the material ejection stability corresponding to the set duty ratio of the abnormality monitoring time period and the deviation of the material ejection amount,/>Indicating the number of monitoring periods.
C6, calculating the abnormal material flow index of the printing head in the target 3D printer，Wherein/>And/>Respectively representing the material ejection uniformity and the material ejection stability of the set reference,/>And/>Respectively representing the set material ejection uniformity and the material ejection stability corresponding to the material flow anomaly evaluation duty ratio.
Specifically, the setting target 3D printer is configured to set an abnormal index of a material ejection state of a printhead, and the specific setting process is as follows: d1, positioning the material ejection gray value of the printing head in each monitoring time period from the gray image corresponding to the material ejection of the printing head in each monitoring time period in the target 3D printer, and marking as。
D2, extracting gray values corresponding to the normal material ejection state of the printing head in the target 3D printer from the cloud database, and marking the gray values as。
D3, calculating abnormal index of material ejection state of printing head in target 3D printer，Wherein/>The gradation value deviation of the setting reference is shown.
Specifically, the temperature of the printing head in the target 3D printer in the next monitoring period is regulated and controlled, and the specific regulation and control process is as follows: e1, matching and comparing the material ejection quality evaluation index of the printing head in the target 3D printer with the proper temperature of the printing head corresponding to each material ejection quality evaluation index stored in the cloud database to obtain the proper temperature of the printing head of the target 3D printer in the next monitoring time period, and recording as。
E2, recording the temperature of the printing head in the target 3D printer in the current monitoring time period as。
E3, whenIndicating that the temperature of the printing head of the target 3D printer is higher, and reducing the temperature value of the printing head of the target 3D printer to/>。
E4, whenIndicating that the temperature of the printing head of the target 3D printer is lower, and adjusting the temperature value of the printing head of the target 3D printer to be/>。
Specifically, the method for regulating and controlling the printing material quantity currently printed by the target 3D printer comprises the following specific regulating and controlling processes: f1, calculating an abnormal printing material consumption index of the target 3D printer in the current monitoring period based on the printing object volume and the actual printing material consumption of the target 3D printer corresponding to each printing in the current monitoring period。
F2, respectively marking the volume of the target printing object and the residual printing material quantity which are currently printed by the target 3D printer asAnd/>。
F3, extracting the corresponding compensation printing material quantity of the abnormal index of the consumption of the unit printing material and the corresponding required printing material quantity of the volume of the unit printing object from the cloud database, and respectively marking asAnd/>。
F4, calculating the printing material quantity required by the current printing of the target 3D printer，。
F5, whenIndicating that the remaining printing material amount currently printed by the target 3D printer needs to be supplemented, and carrying out/>As the printing material addition amount currently printed by the target 3D printer.
Specifically, the calculating process of the abnormal printing material consumption index of the target 3D printer in the current monitoring period includes: g1, marking the volume of a printing object corresponding to each printing in the current monitoring period of the target 3D printer asWherein/>Number representing each print,/>。
G2, calculating the required printing material quantity of the target 3D printer corresponding to each printing in the current monitoring period，。
G3, differentiating the actual consumption printing material quantity of the target 3D printer corresponding to each printing in the current monitoring period from the required printing material quantity to obtain the printing material consumption deviation of the target 3D printer corresponding to each printing in the current monitoring period, and recording as。
G4, respectively extracting a maximum value and a minimum value from the printing material consumption deviation of the target 3D printer corresponding to each printing in the current monitoring period, and respectively marking asAnd/>。
G5, calculating the printing material consumption abnormality index of the target 3D printer in the current monitoring period，Wherein/>And/>Respectively representing the deviation of the consumption amount of the printing material and the extreme value difference of the consumption amount of the printing material which are set and referred to,/>And/>Representing the set printing material consumption deviation and the printing material consumption extreme value difference respectively corresponding to the printing material consumption abnormality evaluation duty ratio weight,/>Indicating the number of prints.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects: (1) According to the invention, the material ejection uniformity and the material ejection stability of the printing head in the target 3D printer are calculated, so that the material flow abnormality index of the printing head in the target 3D printer is calculated, the material flow condition of the printing head in the target 3D printer is intuitively displayed, the accuracy of the material flow condition analysis of the printing head is improved, and meanwhile, the problems of printing quality reduction or printing head blockage and the like are avoided to the greatest extent.
(2) According to the invention, the material flow abnormality index and the material ejection state abnormality index of the printing head in the target 3D printer are combined, so that the material ejection quality evaluation index of the printing head in the target 3D printer is analyzed, the temperature of the printing head in the target 3D printer in the next monitoring time period is regulated and controlled, the temperature regulation accuracy of the printing head is improved, and meanwhile, the temperature setting of the printing head can be better optimized, so that the printing quality and the stability of the printing head are improved.
(3) According to the invention, the printing material consumption abnormality index of the target 3D printer in the current monitoring period is calculated by combining the printing object volume and the actual consumption printing material quantity of the target 3D printer corresponding to each printing in the current monitoring period, and the printing material quantity of the target 3D printer in the current monitoring period is regulated and controlled, so that the possibility of reprinting caused by too little added material is reduced, unnecessary cost and time are reduced, and the on-time completion of a production plan is ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram showing the connection of the system modules according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides an intelligent control system for a 3D printing device, including: the system comprises a motion path accuracy analysis module, a material ejection quality evaluation module, a printing head temperature regulation module, a printing material quantity regulation module and a cloud database.
The material ejection quality evaluation module is connected with the printing head temperature regulation module, and the material ejection quality evaluation module, the printing head temperature regulation module and the printing material quantity regulation module are all connected with the cloud database.
The motion path accuracy analysis module is used for drawing a three-dimensional image of a target printing object on the target computer, transmitting preset motion path data of the printing head to the target 3D printer through processing of the target computer, extracting an actual motion path of the printing head in the target 3D printer in a current monitoring time period, analyzing the motion path accuracy of the printing head in the target 3D printer in the current monitoring time period, stopping printing when the motion path accuracy of the printing head in the target 3D printer is smaller than the motion path accuracy of a set reference, and feeding back the motion path accuracy.
It should be noted that, the actual motion path of the print head in the target 3D printer in the current monitoring period is extracted from the print record of the target 3D printer.
In a specific embodiment of the present invention, the motion path accuracy of the print head in the analysis target 3D printer in the current monitoring period is specifically analyzed by: a1, extracting the preset motion path length of the printing head in the target 3D printer in the current monitoring time period from the preset motion path data of the printing head, and recording as。
A2, overlapping and comparing the actual movement path of the printing head in the target 3D printer in the current monitoring time period with a preset movement path to obtain the overlapping length of the movement path of the printing head in the target 3D printer in the current monitoring time period, and marking as。
A3, calculating the accuracy of the motion path of the printing head in the target 3D printer in the current monitoring time period，Wherein/>Indicating the motion path overlap length ratio of the set reference.
The material ejection quality evaluation module is used for extracting the set material ejection amount of the printing head in the target 3D printer in each monitoring time period, collecting the material ejection amount of the printing head in the target 3D printer in each monitoring time period and gray images corresponding to the material ejection, and analyzing the material ejection quality evaluation index of the printing head in the target 3D printer.
The set material ejection amount of the printing head in the target 3D printer in each monitoring time period is extracted from a setting panel of the target 3D printer, and the material ejection amount of the printing head in the target 3D printer in each monitoring time period is acquired through a flowmeter arranged at a printing head nozzle.
It should also be noted that, the acquisition mode of the gray level image corresponding to the material ejection of the printing head in each monitoring period in the target 3D printer is as follows: the camera arranged above the printing head in the target 3D printer is used for collecting images corresponding to material ejection in each monitoring time period, the collected images are led into a computer, and the images are processed and analyzed by using image processing software, so that gray images corresponding to material ejection of the printing head in each monitoring time period in the target 3D printer are obtained.
In a specific embodiment of the present invention, the analyzing target 3D printer includes a material ejection quality evaluation index of a print head, and the specific analyzing process includes: b1, setting a material flow abnormality index of a printing head in the target 3D printer based on the material ejection amount of the printing head in the target 3D printer in each monitoring time period。
In a specific embodiment of the present invention, the setting of the abnormal material flow index of the print head in the target 3D printer specifically includes: c1, recording the material ejection amount of the printing head in the target 3D printer in each monitoring period asWherein/>Number indicating monitoring period,/>。
C2, calculating material ejection uniformity of printing head in target 3D printer，/>Wherein/>Indicating the total deviation of the discharge amount of the material of the set reference,/>Represents the/>Material emission per monitoring period,/>Representing natural constants.
C3, performing difference between the material ejection amount of the printing head in each monitoring time period in the target 3D printer and the set material ejection amount to obtain the material ejection amount deviation of the printing head in each monitoring time period in the target 3D printer, comparing the material ejection amount deviation with the set reference material ejection amount deviation, and if the material ejection amount deviation of a certain monitoring time period is greater than or equal to the set reference material ejection amount deviation, marking the monitoring time period as an abnormal monitoring time period, counting the number of the abnormal monitoring time periods and marking as the abnormal monitoring time period。
C4, extracting the maximum value from the deviation of the material ejection rate of the printing head in each monitoring time period in the target 3D printer, and marking the maximum value as。
C5, calculating the material ejection stability of the printing head in the target 3D printer，Wherein/>And/>Respectively represent the deviation of the duty ratio and the material ejection rate of the abnormality monitoring time period of the set reference,/>And/>Respectively representing the weight of the estimated duty ratio of the material ejection stability corresponding to the set duty ratio of the abnormality monitoring time period and the deviation of the material ejection amount,/>Indicating the number of monitoring periods.
In the specific embodiment of the present invention,The value of (2) is 50 percent, and is/areThe value of (2) is 50%.
C6, calculating the abnormal material flow index of the printing head in the target 3D printer，Wherein/>And/>Respectively representing the material ejection uniformity and the material ejection stability of the set reference,/>And/>Respectively representing the set material ejection uniformity and the material ejection stability corresponding to the material flow anomaly evaluation duty ratio.
In the specific embodiment of the present invention,The value of (2) is 50 percent, and is/areThe value of (2) is 50%.
According to the embodiment of the invention, the material ejection uniformity and the material ejection stability of the printing head in the target 3D printer are calculated, so that the material flow abnormality index of the printing head in the target 3D printer is calculated, the material flow condition of the printing head in the target 3D printer is intuitively displayed, the accuracy of analyzing the material flow condition of the printing head is improved, and meanwhile, the problems of printing quality reduction or printing head blockage and the like are avoided to the greatest extent.
B2, setting an abnormal index of the material ejection state of the printing head in the target 3D printer based on the gray level image corresponding to the material ejection of the printing head in the target 3D printer in each monitoring time period。
In a specific embodiment of the present invention, the setting of the abnormal index of the material ejection state of the printhead in the target 3D printer specifically includes: d1, positioning the material ejection gray value of the printing head in each monitoring time period from the gray image corresponding to the material ejection of the printing head in each monitoring time period in the target 3D printer, and marking as。
D2, extracting gray values corresponding to the normal material ejection state of the printing head in the target 3D printer from the cloud database, and marking the gray values as。
D3, calculating abnormal index of material ejection state of printing head in target 3D printer，Wherein/>The gradation value deviation of the setting reference is shown.
It should be noted that, too high a temperature of the print head in the target 3D printer may cause the color of the material to be deep, the texture to be sticky, and too low a temperature may cause the color to be light, and the texture to be brittle, so that whether the material ejection state is abnormal can be determined by the material ejection gray value of the print head.
B3, calculating a material ejection quality evaluation index of a printing head in the target 3D printer，Wherein/>And/>Respectively representing the material flow abnormality index and the material ejection state abnormality index of the setting reference,/>And/>The set material flow abnormality index and the material ejection state abnormality index are respectively indicated, and the material ejection quality evaluation duty ratio is corresponding to the material ejection quality evaluation duty ratio.
In the specific embodiment of the present invention,The value of (2) is 50 percent, and is/areThe value of (2) is 50%.
The printing head temperature regulation and control module is used for indicating that the temperature of the printing head in the target 3D printer is abnormal when the material ejection quality evaluation index of the printing head in the target 3D printer is smaller than the material ejection quality evaluation index of the set reference, collecting the temperature of the printing head in the target 3D printer in the current monitoring time period and regulating and controlling the temperature of the printing head in the target 3D printer in the next monitoring time period.
The temperature of the printing head in the target 3D printer in the current monitoring period is acquired through a temperature sensor arranged on the printing head.
In a specific embodiment of the present invention, the temperature of the print head in the target 3D printer in the next monitoring period is regulated, and a specific regulation process is as follows: e1, matching and comparing the material ejection quality evaluation index of the printing head in the target 3D printer with the proper temperature of the printing head corresponding to each material ejection quality evaluation index stored in the cloud database to obtain the proper temperature of the printing head of the target 3D printer in the next monitoring time period, and recording as。
E2, recording the temperature of the printing head in the target 3D printer in the current monitoring time period as。
E3, whenIndicating that the temperature of the printing head of the target 3D printer is higher, and reducing the temperature value of the printing head of the target 3D printer to/>。
E4, whenIndicating that the temperature of the printing head of the target 3D printer is lower, and adjusting the temperature value of the printing head of the target 3D printer to be/>。
According to the embodiment of the invention, the material flow abnormality index and the material ejection state abnormality index of the printing head in the target 3D printer are combined, so that the material ejection quality evaluation index of the printing head in the target 3D printer is analyzed, the temperature of the printing head in the target 3D printer in the next monitoring time period is regulated and controlled, the temperature regulation accuracy of the printing head is improved, and meanwhile, the temperature setting of the printing head can be better optimized, and the printing quality and the stability of the printing head are improved.
The printing material quantity regulating and controlling module is used for extracting the printing object volume and the actual consumption printing material quantity of each printing corresponding to the target 3D printer in the current monitoring period, collecting the current printing object volume and the residual printing material quantity of the target 3D printer, and regulating and controlling the current printing material quantity of the target 3D printer.
It should be noted that, the volume of the printed object corresponding to each time of printing in the current monitoring period is extracted from the three-dimensional drawing software of the target computer by the target 3D printer, the actual consumption printing material amount corresponding to each time of printing in the current monitoring period is extracted from the printing material management system of the target 3D printer by the target 3D printer, and the volume of the printed object and the residual printing material amount of the current printing of the target 3D printer are respectively acquired from the three-dimensional image of the printed object and the printing material management system of the target.
In a specific embodiment of the present invention, the regulating and controlling the current printing material amount of the target 3D printer includes: f1, calculating an abnormal printing material consumption index of the target 3D printer in the current monitoring period based on the printing object volume and the actual printing material consumption of the target 3D printer corresponding to each printing in the current monitoring period。
In a specific embodiment of the present invention, the calculating process of the abnormal printing material consumption index of the target 3D printer in the current monitoring period specifically includes: g1, marking the volume of a printing object corresponding to each printing in the current monitoring period of the target 3D printer asWherein/>Number representing each print,/>。
G2, calculating the required printing material quantity of the target 3D printer corresponding to each printing in the current monitoring period，。
G3, differentiating the actual consumption printing material quantity of the target 3D printer corresponding to each printing in the current monitoring period from the required printing material quantity to obtain the printing material consumption deviation of the target 3D printer corresponding to each printing in the current monitoring period, and recording as。
G4, respectively extracting a maximum value and a minimum value from the printing material consumption deviation of the target 3D printer corresponding to each printing in the current monitoring period, and respectively marking asAnd/>。
G5, calculating the printing material consumption abnormality index of the target 3D printer in the current monitoring period，Wherein/>And/>Respectively representing the deviation of the consumption amount of the printing material and the extreme value difference of the consumption amount of the printing material which are set and referred to,/>And/>Representing the set printing material consumption deviation and the printing material consumption extreme value difference respectively corresponding to the printing material consumption abnormality evaluation duty ratio weight,/>Indicating the number of prints.
In the specific embodiment of the present invention,The value of (2) is 50 percent, and is/areThe value of (2) is 50%.
F2, respectively marking the volume of the target printing object and the residual printing material quantity which are currently printed by the target 3D printer asAnd/>。
F3, extracting the corresponding compensation printing material quantity of the abnormal index of the consumption of the unit printing material and the corresponding required printing material quantity of the volume of the unit printing object from the cloud database, and respectively marking asAnd/>。
F4, calculating the printing material quantity required by the current printing of the target 3D printer，。
F5, whenIndicating that the remaining printing material amount currently printed by the target 3D printer needs to be supplemented, and carrying out/>As the printing material addition amount currently printed by the target 3D printer.
According to the embodiment of the invention, the printing material consumption abnormality index of the target 3D printer in the current monitoring period is calculated by combining the printing object volume and the actual consumption printing material quantity of the target 3D printer corresponding to each printing in the current monitoring period, and the printing material quantity of the target 3D printer in the current monitoring period is regulated and controlled, so that the possibility of reprinting caused by too little added material is reduced, unnecessary cost and time are reduced, and the on-time completion of a production plan is ensured.
The cloud database is used for storing gray values corresponding to the normal material ejection states of the printing heads in the target 3D printer, storing proper printing head temperatures corresponding to the material ejection quality evaluation indexes, storing the compensation printing material quantity corresponding to the unit printing material consumption abnormality indexes, and storing the required printing material quantity corresponding to the unit printing object volume.
The foregoing is merely illustrative and explanatory of the principles of this invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of this invention or beyond the scope of this invention as defined in the claims.
Claims (8)
1. An intelligent control system for a 3D printing device, comprising:
The motion path accuracy analysis module is used for drawing a three-dimensional image of a target printing object on a target computer, transmitting preset motion path data of a printing head to the target 3D printer through processing of the target computer, extracting an actual motion path of the printing head in the target 3D printer in a current monitoring time period, analyzing the motion path accuracy of the printing head in the target 3D printer in the current monitoring time period, stopping printing when the motion path accuracy of the printing head in the target 3D printer is smaller than the motion path accuracy of a set reference, and feeding back the motion path accuracy;
The material ejection quality evaluation module is used for extracting the set material ejection amount of the printing head in the target 3D printer in each monitoring time period, collecting the material ejection amount of the printing head in the target 3D printer in each monitoring time period and the gray level image corresponding to the material ejection, and analyzing the material ejection quality evaluation index of the printing head in the target 3D printer;
The printing head temperature regulation and control module is used for indicating that the temperature of the printing head in the target 3D printer is abnormal when the material ejection quality evaluation index of the printing head in the target 3D printer is smaller than the material ejection quality evaluation index of the set reference, collecting the temperature of the printing head in the target 3D printer in the current monitoring time period and regulating and controlling the temperature of the printing head in the target 3D printer in the next monitoring time period;
The printing material quantity regulating and controlling module is used for extracting the printing object volume and the actual consumption printing material quantity of each printing corresponding to the target 3D printer in the current monitoring period, collecting the current printing object volume and the residual printing material quantity of the target 3D printer, and regulating and controlling the current printing material quantity of the target 3D printer;
the cloud database is used for storing gray values corresponding to the normal ejection states of materials of the printing heads in the target 3D printer, storing proper temperatures of the printing heads corresponding to the material ejection quality evaluation indexes, storing the quantity of the compensating printing materials corresponding to the abnormal consumption indexes of the unit printing materials, and storing the quantity of the required printing materials corresponding to the volume of the unit printing object.
2. The intelligent control system of a 3D printing device according to claim 1, wherein: the motion path accuracy of a printing head in the analysis target 3D printer in the current monitoring time period is specifically analyzed as follows:
A1, extracting the preset motion path length of the printing head in the target 3D printer in the current monitoring time period from the preset motion path data of the printing head, and recording as ；
A2, overlapping and comparing the actual movement path of the printing head in the target 3D printer in the current monitoring time period with a preset movement path to obtain the overlapping length of the movement path of the printing head in the target 3D printer in the current monitoring time period, and marking as；
A3, calculating the accuracy of the motion path of the printing head in the target 3D printer in the current monitoring time period，Wherein/>Indicating the motion path overlap length ratio of the set reference.
3. The intelligent control system of a 3D printing device according to claim 1, wherein: the material ejection quality evaluation index of the printing head in the analysis target 3D printer comprises the following specific analysis processes:
B1, setting a material flow abnormality index of a printing head in the target 3D printer based on the material ejection amount of the printing head in the target 3D printer in each monitoring time period ；
B2, setting an abnormal index of the material ejection state of the printing head in the target 3D printer based on the gray level image corresponding to the material ejection of the printing head in the target 3D printer in each monitoring time period；
B3, calculating a material ejection quality evaluation index of a printing head in the target 3D printer，Wherein/>And/>Respectively representing the material flow abnormality index and the material ejection state abnormality index of the setting reference,/>And/>The set material flow abnormality index and the material ejection state abnormality index are respectively indicated, and the material ejection quality evaluation duty ratio is corresponding to the material ejection quality evaluation duty ratio.
4. A 3D printing device intelligent control system according to claim 3, characterized in that: the material flow abnormality index of the printing head in the target 3D printer is set, and the specific setting process is as follows:
c1, recording the material ejection amount of the printing head in the target 3D printer in each monitoring period as Wherein/>Number indicating monitoring period,/>；
C2, calculating material ejection uniformity of printing head in target 3D printer，/>Wherein/>Indicating the total deviation of the discharge amount of the material of the set reference,/>Represents the/>The amount of material ejected during the monitoring period,Representing natural constants;
c3, performing difference between the material ejection amount of the printing head in each monitoring time period in the target 3D printer and the set material ejection amount to obtain the material ejection amount deviation of the printing head in each monitoring time period in the target 3D printer, comparing the material ejection amount deviation with the set reference material ejection amount deviation, and if the material ejection amount deviation of a certain monitoring time period is greater than or equal to the set reference material ejection amount deviation, marking the monitoring time period as an abnormal monitoring time period, counting the number of the abnormal monitoring time periods and marking as the abnormal monitoring time period ；
C4, extracting the maximum value from the deviation of the material ejection rate of the printing head in each monitoring time period in the target 3D printer, and marking the maximum value as；
C5, calculating the material ejection stability of the printing head in the target 3D printer，Wherein/>And/>Respectively represent the deviation of the duty ratio and the material ejection rate of the abnormality monitoring time period of the set reference,/>And/>Respectively representing the weight of the estimated duty ratio of the material ejection stability corresponding to the set duty ratio of the abnormality monitoring time period and the deviation of the material ejection amount,/>Representing the number of monitoring time periods;
c6, calculating the abnormal material flow index of the printing head in the target 3D printer ，Wherein/>And/>Respectively representing the material ejection uniformity and the material ejection stability of the set reference,/>And/>Respectively representing the set material ejection uniformity and the material ejection stability corresponding to the material flow anomaly evaluation duty ratio.
5. The intelligent control system of a 3D printing device of claim 4, wherein: the abnormal material ejection state index of the printing head in the 3D printer of the set target is specifically set as follows:
D1, positioning the material ejection gray value of the printing head in each monitoring time period from the gray image corresponding to the material ejection of the printing head in each monitoring time period in the target 3D printer, and marking as ；
D2, extracting gray values corresponding to the normal material ejection state of the printing head in the target 3D printer from the cloud database, and marking the gray values as；
D3, calculating abnormal index of material ejection state of printing head in target 3D printer，Wherein/>The gradation value deviation of the setting reference is shown.
6. The intelligent control system of a 3D printing device according to claim 1, wherein: the temperature of the printing head in the target 3D printer in the next monitoring time period is regulated and controlled, and the specific regulation and control process is as follows:
E1, matching and comparing the material ejection quality evaluation index of the printing head in the target 3D printer with the proper temperature of the printing head corresponding to each material ejection quality evaluation index stored in the cloud database to obtain the proper temperature of the printing head of the target 3D printer in the next monitoring time period, and recording as ；
E2, recording the temperature of the printing head in the target 3D printer in the current monitoring time period as；
E3, whenIndicating that the temperature of the printing head of the target 3D printer is higher, and reducing the temperature value of the printing head of the target 3D printer to/>；
E4, whenIndicating that the temperature of the printing head of the target 3D printer is lower, and adjusting the temperature value of the printing head of the target 3D printer to be/>。
7. The intelligent control system of a 3D printing device according to claim 1, wherein: the method is characterized in that the current printing material quantity of the target 3D printer is regulated and controlled, and the specific regulation and control process is as follows:
F1, calculating an abnormal printing material consumption index of the target 3D printer in the current monitoring period based on the printing object volume and the actual printing material consumption of the target 3D printer corresponding to each printing in the current monitoring period ；
F2, respectively marking the volume of the target printing object and the residual printing material quantity which are currently printed by the target 3D printer asAnd；
F3, extracting the corresponding compensation printing material quantity of the abnormal index of the consumption of the unit printing material and the corresponding required printing material quantity of the volume of the unit printing object from the cloud database, and respectively marking asAnd/>；
F4, calculating the printing material quantity required by the current printing of the target 3D printer，；
F5, whenIndicating that the remaining printing material amount currently printed by the target 3D printer needs to be supplemented, and carrying out/>As the printing material addition amount currently printed by the target 3D printer.
8. The intelligent control system of a 3D printing device of claim 7, wherein: the calculating process of the printing material consumption abnormality index of the target 3D printer in the current monitoring period comprises the following steps of:
G1, marking the volume of a printing object corresponding to each printing in the current monitoring period of the target 3D printer as Wherein/>Number representing each print,/>；
G2, calculating the required printing material quantity of the target 3D printer corresponding to each printing in the current monitoring period，；
G3, differentiating the actual consumption printing material quantity of the target 3D printer corresponding to each printing in the current monitoring period from the required printing material quantity to obtain the printing material consumption deviation of the target 3D printer corresponding to each printing in the current monitoring period, and recording as；
G4, respectively extracting a maximum value and a minimum value from the printing material consumption deviation of the target 3D printer corresponding to each printing in the current monitoring period, and respectively marking asAnd/>；
G5, calculating the printing material consumption abnormality index of the target 3D printer in the current monitoring period，Wherein/>And/>Respectively representing the deviation of the consumption amount of the printing material and the extreme value difference of the consumption amount of the printing material which are set and referred to,/>And/>Representing the set printing material consumption deviation and the printing material consumption extreme value difference respectively corresponding to the printing material consumption abnormality evaluation duty ratio weight,/>Indicating the number of prints.
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