Remote visualization operation method and system for a 3D printing device

Abstract

The application provides a remote visual operation method and system of a 3D printing device, comprising: performing synchronous dimension reduction processing on real-time working data of the 3D printing device to obtain a plurality of real-time key working features of the 3D printing device and corresponding working type labels; performing feature recombination on the real-time key working features according to the working type labels in a remote control platform to construct a synchronous printing live of the 3D printing device; positioning real-time live features corresponding to each working type label; determining and displaying real-time working parameters and real-time working progress of the 3D printing device; responding to a printing requirement instruction issued by a user by the remote control platform to control the 3D printing device to perform corresponding printing operation and feed back to the remote control platform, so that the working of the 3D printing device can be remotely controlled, the printing efficiency can be ensured, the printing progress can be checked at any time, the printing process can be adjusted according to requirements, and effective printing products can be obtained.

Description

Technical Field

[0001] This invention relates to the field of laser printing technology, and in particular to a remote visualization operation method and system for a 3D printing device. Background Technology

[0002] 3D printing equipment, also known as additive manufacturing equipment, is a device that constructs three-dimensional objects by adding materials layer by layer. It primarily transforms computer-designed 3D models into physical objects and has wide applications in various fields, such as manufacturing, medicine, construction, and education. Currently, many 3D printing companies are quietly emerging. With increasing demand, the pressure on these companies is gradually increasing. While having different workers control different printers can fulfill orders, worker skill levels determine printing efficiency, and workers need to operate the machines within a defined area for extended periods. This uncontrollable printing method has caused various losses for many printing companies. Therefore, how to remotely control printers to ensure efficiency has become a pressing issue.

[0003] Therefore, the present invention provides a remote visualization operation method and system for a 3D printing device. Summary of the Invention

[0004] The present invention provides a remote visualization operation method and system for a 3D printing device, which can remotely control the operation of the 3D printer, ensuring printing efficiency, allowing for real-time monitoring of printing progress, and adjusting the printing process according to needs to obtain effective printed products.

[0005] This invention provides a remote visualization operation method for a 3D printing device, comprising:

[0006] Step 1: Perform synchronous dimensionality reduction processing on the real-time working data of the 3D printing device to obtain several real-time key working features of the 3D printing device, and set corresponding working type labels for each of the real-time key working features.

[0007] Step 2: Transmit the real-time key work features to the remote control platform, and reorganize the real-time key work features according to the work type label to construct the synchronous printing status of the 3D printing device;

[0008] Step 3: Using the work type labels, locate the real-time features corresponding to each work type label in the synchronous printing process, determine the real-time working parameters and real-time progress of the 3D printing device, and display them.

[0009] Step 4: The remote control platform responds to the printing request command issued by the user, controls the 3D printing device to perform the corresponding printing operation, and synchronously feeds back the printing process to the remote control platform.

[0010] In one feasible approach

[0011] Step 1 includes:

[0012] Step 11: Obtain the real-time working data of the 3D printing device, perform preliminary decomposition of the real-time working data, determine several working items of the 3D printing device and the real-time sub-data corresponding to each working item, and construct a priority relationship diagram of the real-time working data based on the data relationship between different real-time sub-data.

[0013] Step 12: Determine the priority positions of several sub-data contained in the real-time working data according to the priority relationship diagram, map the real-time working data to a low-dimensional space for dimensionality reduction processing, and locate the dimensionality reduction sub-result corresponding to each priority position of the sub-data in the dimensionality reduction result;

[0014] Step 13: Enhance the dimensionality reduction sub-results according to the priority relationship graph to obtain the real-time dimensionality reduction data of the 3D printing device. Perform standardized training on the real-time dimensionality reduction data and select several real-time key working features of the 3D printing device from the training results.

[0015] Step 14: Based on the priority relationship diagram, determine the associated sub-data corresponding to each real-time key task feature, construct the corresponding sub-data class, construct the feature type attribute corresponding to the real-time key task feature using the sub-data class, and set the corresponding task type label for the real-time key task feature using the feature type attribute.

[0016] In one feasible approach

[0017] Also includes:

[0018] The current printing progress of the 3D printing device is determined based on the printing task received by the 3D printing device, and the priority relationship diagram corresponding to different times is obtained to construct the working process relationship diagram of the 3D printing device.

[0019] Identify several task dynamics contained in the work relationship diagram;

[0020] Each task is dynamically evaluated logically to construct the real-time printing logic information of the 3D printing device, which is then transmitted to the remote control platform for display.

[0021] In one feasible approach

[0022] Step 2 includes:

[0023] Step 21: Determine the feature dependencies between different real-time key work features based on the work type label, and determine the transmission order corresponding to each real-time key work feature according to the order of the number of dependencies from high to low.

[0024] Step 22: The control configuration network transmits each of the real-time key work features to the remote control platform according to the transmission order, and reorganizes the real-time key features according to the feature dependency relationship to obtain several real-time work items of the 3D printing device.

[0025] Step 23: Perform a single simulation for each of the real-time work items to determine the remote synchronization information corresponding to each real-time work item, locate the static sub-information contained in the remote synchronization information, and obtain several real-time fixed features of the 3D printing device.

[0026] Step 24: Arrange the dynamic sub-information contained in the remote synchronization information according to the real-time fixed features and the feature dependency relationship to obtain the synchronous printing status of the 3D printing device, and display the synchronous printing status in the remote control center.

[0027] In one feasible approach

[0028] Step 3 includes:

[0029] Step 31: Collect corresponding label sample information in the synchronous printing live broadcast according to the label attributes corresponding to each work type label, use the label sample information to perform error assessment on the corresponding work type label, and determine several live broadcast abnormal features of the work type.

[0030] Step 32: Convert each of the real-time anomaly features into data information. When the data information is not 0, determine several working types of the 3D printing device based on the real-time working data. Use an iterative method to iteratively train each of the data information to obtain the convergence radius corresponding to each of the data information under the working type.

[0031] Step 33: Determine the abnormal error value corresponding to the work type based on the convergence radius, and use the abnormal error value to perform error processing on the data information. When the processed data information is 0, generate the working parameters of the 3D printing device based on the error processing result.

[0032] Step 34: When the processed data information is not 0, generate the working parameters of the 3D printing device according to the data information, and display the real-time working progress of the 3D printing device based on several working parameters of the 3D printing device.

[0033] In one feasible approach

[0034] Also includes:

[0035] Data that is not zero after filtering is considered abnormal.

[0036] Track the data generation location corresponding to the anomaly information in the real-time working data;

[0037] The abnormal information is used to identify anomalies in the devices and equipment at the data generation location, determine the risk anomalies of the devices and equipment, and display them.

[0038] In one feasible approach

[0039] Step 4 includes:

[0040] Step 41: Based on the printing requirement command issued by the user, construct several printing conditions for the 3D printing device according to the printing requirement command, and feed back each of the printing conditions to the 3D printing device to obtain the response information of the 3D printing device to each printing condition.

[0041] Step 42: Estimate the execution time of the 3D printing device to complete the printing requirement instruction based on the response information, control the 3D printing device to perform the corresponding printing operation, and obtain the execution data of the 3D printing device within the execution time range;

[0042] Step 43: Synchronously feed the execution data back to the remote control platform, visualize and display the printing process of the 3D printing device.

[0043] In one feasible approach

[0044] It also includes:

[0045] When the user issues a termination request command, an emergency priority is set for the termination request command, and the remote control platform controls the 3D printing device to execute the termination request command first according to the emergency priority.

[0046] This invention provides a remote visualization operating system for a 3D printing device, comprising:

[0047] The data processing module is used to perform synchronous dimensionality reduction processing on the real-time working data of the 3D printing device to obtain several real-time key working features of the 3D printing device, and set corresponding working type labels for each of the real-time key working features.

[0048] The synchronization processing module is used to transmit the real-time key work features to the remote control platform, and to reorganize the real-time key work features according to the work type label to construct the synchronous printing status of the 3D printing device.

[0049] The progress analysis module is used to locate the real-time features corresponding to each of the work type tags in the synchronous printing real-time location, determine the real-time working parameters and real-time working progress of the 3D printing device, and display them.

[0050] The remote control module is used to respond to the printing request command issued by the user through the remote control platform, control the 3D printing device to perform the corresponding printing operation, and synchronously feed back the printing process to the remote control platform.

[0051] In one feasible approach

[0052] The progress analysis module includes:

[0053] An anomaly assessment unit is used to collect corresponding label sample information in the synchronous printing live stream based on the label attributes corresponding to each work type label, use the label sample information to perform error assessment on the corresponding work type label, and determine several live anomaly features of the work type.

[0054] The convergence analysis unit is used to convert each of the real-time anomalies into data information. When the data information is not 0, it determines several working types of the 3D printing device based on the real-time working data, and uses an iterative method to iteratively train each of the data information to obtain the convergence radius corresponding to each of the data information under the working type.

[0055] An error processing unit is used to determine the abnormal error value corresponding to the working type based on the convergence radius, perform error processing on the data information using the abnormal error value, and generate the working parameters of the 3D printing device based on the error processing result when the processed data information is 0.

[0056] The progress display unit is used to generate working parameters of the 3D printing device based on the processed data information when the data information is not zero, and to display the real-time working progress of the 3D printing device based on several working parameters of the 3D printing device.

[0057] The beneficial effects of the above technical solution are as follows: Dimensionality reduction of real-time working data can improve the efficiency and accuracy of subsequent data processing. Dimensionality reduction identifies the key real-time working features of the 3D printing device. To better distinguish each key real-time working feature, corresponding working type labels are set, and then the features are transmitted to the remote control platform for feature recombination, resulting in a synchronized printing status. This is then displayed to management personnel for remote supervision. When a user issues a printing request command through the remote control platform, the 3D printing device is controlled to execute the printing work, and the information obtained during the printing process is fed back to the remote control platform. In this way, not only can multiple devices be controlled simultaneously, but the working process of each device can also be monitored at any time, achieving the purpose of remote supervision. This implicitly improves the working efficiency of the 3D printing device and solves the problems in the existing technology.

[0058] Other features and advantages of the invention will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description and the accompanying drawings.

[0059] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0060] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0061] Figure 1 This is a schematic diagram illustrating the workflow of a remote visualization operation method for a 3D printing device according to an embodiment of the present invention.

[0062] Figure 2 This is a schematic diagram illustrating the composition of a remote visualization operating system for a 3D printing device according to an embodiment of the present invention. Detailed Implementation

[0063] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0064] Example 1

[0065] This embodiment provides a remote visualization operation method for a 3D printing device, such as... Figure 1 As shown, it includes:

[0066] Step 1: Perform synchronous dimensionality reduction processing on the real-time working data of the 3D printing device to obtain several real-time key working features of the 3D printing device, and set corresponding working type labels for each of the real-time key working features.

[0067] Step 2: Transmit the real-time key work features to the remote control platform, and reorganize the real-time key work features according to the work type label to construct the synchronous printing status of the 3D printing device;

[0068] Step 3: Using the work type labels, locate the real-time features corresponding to each work type label in the synchronous printing process, determine the real-time working parameters and real-time progress of the 3D printing device, and display them.

[0069] Step 4: The remote control platform responds to the printing request command issued by the user, controls the 3D printing device to perform the corresponding printing operation, and synchronously feeds back the printing process to the remote control platform.

[0070] In this example, synchronous dimensionality reduction processing refers to the process of reducing the dimensionality of real-time working data in a short period of time.

[0071] In this example, real-time key work features represent the characteristics exhibited by the 3D printing device during the printing process;

[0072] In this example, the job type label represents a label that distinguishes the job type of the 3D printing device based on real-time key features;

[0073] In this example, the live printing demonstration uses a visual representation to recreate the working process of the 3D printing device.

[0074] In this example, the printing operation represents the operation that the 3D printing device can perform.

[0075] The working principle and beneficial effects of the above technical solution are as follows: When printing, dimensionality reduction processing of real-time working data can improve the efficiency and accuracy of subsequent data processing. Dimensionality reduction processing determines the real-time key working features of the 3D printing device. To better distinguish each real-time key working feature, corresponding working type labels are set, and then the features are transmitted to the remote control platform for feature recombination, resulting in a synchronized printing status. This is then displayed to managers for remote supervision. When the user issues a printing request command through the remote control platform, the 3D printing device is controlled to execute the printing work, and the information obtained during the printing process is fed back to the remote control platform. In this way, not only can multiple devices be controlled simultaneously, but the working process of each device can also be monitored at any time, achieving the purpose of remote supervision. This implicitly improves the working efficiency of the 3D printing device and solves the problems in the existing technology.

[0076] Example 2

[0077] Based on Embodiment 1, the remote visualization operation method for the 3D printing device, step 1 includes:

[0078] Step 11: Obtain the real-time working data of the 3D printing device, perform preliminary decomposition of the real-time working data, determine several working items of the 3D printing device and the real-time sub-data corresponding to each working item, and construct a priority relationship diagram of the real-time working data based on the data relationship between different real-time sub-data.

[0079] Step 12: Determine the priority positions of several sub-data contained in the real-time working data according to the priority relationship diagram, map the real-time working data to a low-dimensional space for dimensionality reduction processing, and locate the dimensionality reduction sub-result corresponding to each priority position of the sub-data in the dimensionality reduction result;

[0080] Step 13: Enhance the dimensionality reduction sub-results according to the priority relationship graph to obtain the real-time dimensionality reduction data of the 3D printing device. Perform standardized training on the real-time dimensionality reduction data and select several real-time key working features of the 3D printing device from the training results.

[0081] Step 14: Based on the priority relationship diagram, determine the associated sub-data corresponding to each real-time key task feature, construct the corresponding sub-data class, construct the feature type attribute corresponding to the real-time key task feature using the sub-data class, and set the corresponding task type label for the real-time key task feature using the feature type attribute.

[0082] In this example, the work item refers to the items that the 3D printing device needs to perform when executing the printing work, such as uploading images, executing the printing, etc.

[0083] In this example, the priority relationship diagram is a logical diagram used to express the priority order among the various sub-data in real-time working data;

[0084] In this example, the sub-data priority position indicates the location of sub-data that has a priority relationship in the real-time working data;

[0085] In this example, the process of enhancing the dimensionality reduction sub-results according to the priority relationship graph represents enhancing the data relationships between dimensionality reduction sub-data that have priority relationships.

[0086] The working principle and beneficial effects of the above technical solution are as follows: In order to ensure that the meaning of the dimensionality-reduced sub-data is consistent with that of the real-time working data generated by the 3D printing device, the real-time working data is initially decomposed before dimensionality reduction. Then, the priority relationship between different real-time sub-data is determined, and a priority relationship graph of the real-time working data is constructed. Then, the priority position of each data in the implementation working data is located. After the dimensionality reduction is completed, the dimensionality reduction sub-results are enhanced and further standardized training is performed to construct the key working features of the 3D printing device. Finally, the sub-data of the real-time key working features are classified and processed to determine the working type label of each real-time key working feature. In this way, the real-time working data can be dimensionality-reduced and compressed, improving the efficiency of subsequent processing, simplifying the processing flow, and enabling subsequent remote synchronous monitoring based on the real-time key working features.

[0087] Example 3

[0088] Based on Embodiment 1, the remote visualization operation method for a 3D printing device further includes:

[0089] The current printing progress of the 3D printing device is determined based on the printing task received by the 3D printing device, and the priority relationship diagram corresponding to different times is obtained to construct the working process relationship diagram of the 3D printing device.

[0090] Identify several task dynamics contained in the work relationship diagram;

[0091] Each task is dynamically evaluated logically to construct the real-time printing logic information of the 3D printing device, which is then transmitted to the remote control platform for display.

[0092] In this example, the task dynamics represent the complete dynamics generated during the 3D printing process.

[0093] The working principle and beneficial effects of the above technical solution are as follows: By analyzing the current printing progress of the 3D printing device and combining it with the priority relationship diagram, the working process relationship diagram of the 3D printing device is determined. Then, each task is dynamically and logically evaluated, and the evaluation results are transmitted to the remote control platform for display, thus achieving the purpose of remote synchronous supervision.

[0094] Example 4

[0095] Based on Embodiment 1, the remote visualization operation method for the 3D printing device, step 2 includes:

[0096] Step 21: Determine the feature dependencies between different real-time key work features based on the work type label, and determine the transmission order corresponding to each real-time key work feature according to the order of the number of dependencies from high to low.

[0097] Step 22: The control configuration network transmits each of the real-time key work features to the remote control platform according to the transmission order, and reorganizes the real-time key features according to the feature dependency relationship to obtain several real-time work items of the 3D printing device.

[0098] Step 23: Perform a single simulation for each of the real-time work items to determine the remote synchronization information corresponding to each real-time work item, locate the static sub-information contained in the remote synchronization information, and obtain several real-time fixed features of the 3D printing device.

[0099] Step 24: Arrange the dynamic sub-information contained in the remote synchronization information according to the real-time fixed features and the feature dependency relationship to obtain the synchronous printing status of the 3D printing device, and display the synchronous printing status in the remote control center.

[0100] In this example, feature dependencies represent real-time key operational features with synchronized motion;

[0101] In this example, the purpose of transmitting data in descending order of dependency quantity is to prioritize real-time critical task features with a large number of dependencies and reduce the probability of them becoming disordered.

[0102] In this example, a single simulation means simulating only the process of a real-time work project;

[0103] In this example, static sub-information refers to fixed sub-information in remote synchronization information, while dynamic sub-information refers to sub-information in remote synchronization information that changes.

[0104] The working principle and beneficial effects of the above technical solution are as follows: When performing remote printing, the feature dependencies between different real-time key work features are first determined according to the work type label. Then, the transmission order is determined according to the number of dependencies, and the features are transmitted to the remote control platform in sequence for feature recombination, thus constructing the real-time work items of the 3D printing device. Then, the remote synchronization information of each real-time work item is determined through simulation. The static sub-information is used for positioning, and the dynamic sub-information is arranged to generate the synchronous printing status of the 3D printing device. In this way, the synchronous printing status can be displayed in the remote control center. Not only can synchronous printing be achieved, but also the defects existing in the printing process can be preliminarily analyzed through simulation, thus achieving high-quality printing.

[0105] Example 5

[0106] Based on Embodiment 1, the remote visualization operation method for the 3D printing device, step 3 includes:

[0107] Step 31: Collect corresponding label sample information in the synchronous printing live broadcast according to the label attributes corresponding to each work type label, use the label sample information to perform error assessment on the corresponding work type label, and determine several live broadcast abnormal features of the work type.

[0108] Step 32: Convert each of the real-time anomaly features into data information. When the data information is not 0, determine several working types of the 3D printing device based on the real-time working data. Use an iterative method to iteratively train each of the data information to obtain the convergence radius corresponding to each of the data information under the working type.

[0109] Step 33: Determine the abnormal error value corresponding to the work type based on the convergence radius, and use the abnormal error value to perform error processing on the data information. When the processed data information is 0, generate the working parameters of the 3D printing device based on the error processing result.

[0110] Step 34: When the processed data information is not 0, generate the working parameters of the 3D printing device according to the data information, and display the real-time working progress of the 3D printing device based on several working parameters of the 3D printing device.

[0111] In this example, the convergence radius represents the range of values ​​in the data after convergence.

[0112] The working principle and beneficial effects of the above technical solution are as follows: In order to obtain accurate working parameters and generate effective real-time work progress, the synchronous printing situation is first sampled according to the work type label. The abnormal characteristics of the work type are determined by identifying the error of the label sample, and then converted into data information. The data information is processed by an iterative method, and the abnormal error value is determined according to its convergence radius. Then, the data information is processed to construct the working parameters of the 3D printing device for different situations. Finally, the real-time work progress of the 3D printing device is constructed. In this way, errors in the transmission process can be eliminated to improve the accuracy of working parameters, and faults of the 3D printing device can be identified, thus achieving effective supervision.

[0113] Example 6

[0114] Based on Embodiment 5, the remote visualization operation method for a 3D printing device further includes:

[0115] Data that is not zero after filtering is considered abnormal.

[0116] Track the data generation location corresponding to the anomaly information in the real-time working data;

[0117] The abnormal information is used to identify anomalies in the devices and equipment at the data generation location, determine the risk anomalies of the devices and equipment, and display them.

[0118] The working principle and beneficial effects of the above technical solution are as follows: by locating abnormal information in real-time working data, the risks of the device equipment are determined and displayed to the user to remind the user to deal with the fault in a timely manner.

[0119] Example 7

[0120] Based on Embodiment 1, the remote visualization operation method for the 3D printing device, step 4 includes:

[0121] Step 41: Based on the printing requirement command issued by the user, construct several printing conditions for the 3D printing device according to the printing requirement command, and feed back each of the printing conditions to the 3D printing device to obtain the response information of the 3D printing device to each printing condition.

[0122] Step 42: Estimate the execution time of the 3D printing device to complete the printing requirement instruction based on the response information, control the 3D printing device to perform the corresponding printing operation, and obtain the execution data of the 3D printing device within the execution time range;

[0123] Step 43: Synchronously feed the execution data back to the remote control platform, visualize and display the printing process of the 3D printing device.

[0124] In this example, the printing conditions refer to the conditions that the 3D printing device needs to perform when completing the printing task assigned by the user.

[0125] The working principle and beneficial effects of the above technical solution are as follows: When the user issues a control command, the printing conditions that the 3D printing device needs to execute are first determined. Then, the execution time of the 3D printing device is deduced based on the response information of the 3D printing device. Execution data is then acquired within this time, which can improve the efficiency of data acquisition and reduce errors caused by data disorder. The data is then synchronously fed back to the remote control platform for display, and the user can check the progress at any time.

[0126] Example 8

[0127] Based on Embodiment 7, the remote visualization operation method for a 3D printing device further includes:

[0128] When the user issues a termination request command, an emergency priority is set for the termination request command, and the remote control platform controls the 3D printing device to execute the termination request command first according to the emergency priority.

[0129] The working principle and beneficial effects of the above technical solution are as follows: Prioritize the execution of user-issued termination request instructions to reduce the probability of producing defective products.

[0130] Example 9

[0131] This embodiment provides a remote visualization operating system for a 3D printing device, including:

[0132] The data processing module is used to perform synchronous dimensionality reduction processing on the real-time working data of the 3D printing device to obtain several real-time key working features of the 3D printing device, and set corresponding working type labels for each of the real-time key working features.

[0133] The synchronization processing module is used to transmit the real-time key work features to the remote control platform, and to reorganize the real-time key work features according to the work type label to construct the synchronous printing status of the 3D printing device.

[0134] The progress analysis module is used to locate the real-time features corresponding to each of the work type tags in the synchronous printing real-time location, determine the real-time working parameters and real-time working progress of the 3D printing device, and display them.

[0135] The remote control module is used to respond to the printing request command issued by the user through the remote control platform, control the 3D printing device to perform the corresponding printing operation, and synchronously feed back the printing process to the remote control platform.

[0136] In this example, synchronous dimensionality reduction processing refers to the process of reducing the dimensionality of real-time working data in a short period of time.

[0137] In this example, real-time key work features represent the characteristics exhibited by the 3D printing device during the printing process;

[0138] In this example, the job type label represents a label that distinguishes the job type of the 3D printing device based on real-time key features;

[0139] In this example, the live printing demonstration uses a visual representation to recreate the working process of the 3D printing device.

[0140] In this example, the printing operation represents the operation that the 3D printing device can perform.

[0141] The working principle and beneficial effects of the above technical solution are as follows: When printing, dimensionality reduction processing of real-time working data can improve the efficiency and accuracy of subsequent data processing. Dimensionality reduction processing determines the real-time key working features of the 3D printing device. To better distinguish each real-time key working feature, corresponding working type labels are set, and then the features are transmitted to the remote control platform for feature recombination, resulting in a synchronized printing status. This is then displayed to managers for remote supervision. When the user issues a printing request command through the remote control platform, the 3D printing device is controlled to execute the printing work, and the information obtained during the printing process is fed back to the remote control platform. In this way, not only can multiple devices be controlled simultaneously, but the working process of each device can also be monitored at any time, achieving the purpose of remote supervision. This implicitly improves the working efficiency of the 3D printing device and solves the problems in the existing technology.

[0142] Example 10

[0143] Based on Example 9, the remote visualization operating system of the 3D printing device, the progress analysis module includes:

[0144] An anomaly assessment unit is used to collect corresponding label sample information in the synchronous printing live stream based on the label attributes corresponding to each work type label, use the label sample information to perform error assessment on the corresponding work type label, and determine several live anomaly features of the work type.

[0145] The convergence analysis unit is used to convert each of the real-time anomalies into data information. When the data information is not 0, it determines several working types of the 3D printing device based on the real-time working data, and uses an iterative method to iteratively train each of the data information to obtain the convergence radius corresponding to each of the data information under the working type.

[0146] An error processing unit is used to determine the abnormal error value corresponding to the working type based on the convergence radius, perform error processing on the data information using the abnormal error value, and generate the working parameters of the 3D printing device based on the error processing result when the processed data information is 0.

[0147] The progress display unit is used to generate working parameters of the 3D printing device based on the processed data information when the data information is not zero, and to display the real-time working progress of the 3D printing device based on several working parameters of the 3D printing device.

[0148] In this example, the convergence radius represents the range of values ​​in the data after convergence.

[0149] The working principle and beneficial effects of the above technical solution are as follows: In order to obtain accurate working parameters and generate effective real-time work progress, the synchronous printing situation is first sampled according to the work type label. The abnormal characteristics of the work type are determined by identifying the error of the label sample, and then converted into data information. The data information is processed by an iterative method, and the abnormal error value is determined according to its convergence radius. Then, the data information is processed to construct the working parameters of the 3D printing device for different situations. Finally, the real-time work progress of the 3D printing device is constructed. In this way, errors in the transmission process can be eliminated to improve the accuracy of working parameters, and faults of the 3D printing device can be identified, thus achieving effective supervision.

[0150] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method of remote visualisation operation of a 3D printing device, characterized in that, The application relates to a 3D printing device real-time working data synchronous dimension reduction processing method. Step 1: synchronously dimension reduction processing is carried out on real-time working data of a 3D printing device, a plurality of real-time key working features of the 3D printing device are obtained, and a corresponding working type label is set for each real-time key working feature; Step 2: the real-time key working features are transmitted to a remote control platform, the real-time key working features are recombined according to the working type labels, and a synchronous printing live broadcast of the 3D printing device is constructed; Step 3: the working type labels are used to locate real-time live feature corresponding to each working type label in the synchronous printing live broadcast, real-time working parameters and real-time working progress of the 3D printing device are determined and displayed; Step 4: the remote control platform responds to a printing requirement instruction issued by a user, controls the 3D printing device to carry out corresponding printing operation, and feeds back a printing process to the remote control platform; The step 3 comprises: Step 31: label sample information corresponding to each working type label is collected in the synchronous printing live broadcast according to label attributes of each working type label, error evaluation is carried out on the working type labels by using the label sample information, and a plurality of live abnormal features of the working type are determined; Step 32: each live abnormal feature is converted into data information, when the data information is not 0, a plurality of working types of the 3D printing device are determined according to the real-time working data, each data information is iteratively trained by using an iterative method, and a convergence radius corresponding to each data information under the working type is obtained; Step 33: an abnormal error value corresponding to the working type is determined according to the convergence radius, error processing is carried out on the data information by using the abnormal error value, and when the processed data information is 0, working parameters of the 3D printing device are generated according to an error processing result; Step 34: when the processed data information is not 0, working parameters of the 3D printing device are generated according to the data information, and real-time working progress of the 3D printing device is constructed according to a plurality of working parameters of the 3D printing device and is displayed.

2. The method of remote visualisation of a 3D printing device of claim 1, wherein, The step 1 comprises: Step 11: real-time working data of the 3D printing device is acquired, the real-time working data is preliminarily decomposed, a plurality of working items of the 3D printing device and real-time sub-data corresponding to each working item are determined, and a priority relationship diagram of the real-time working data is constructed according to data relationships between different real-time sub-data; Step 12: a plurality of sub-data priority positions contained in the real-time working data are determined according to the priority relationship diagram, the real-time working data is mapped into a low-dimensional space for dimension reduction processing, and a dimension reduction sub-result corresponding to each sub-data priority position is located in a dimension reduction result; Step 13: the dimension reduction sub-result is enhanced according to the priority relationship diagram, real-time dimension reduction data of the 3D printing device is obtained, standardization training is carried out on the real-time dimension reduction data, and a plurality of real-time key working features of the 3D printing device are screened in a training result. Step 14: Determine the corresponding associated sub-data of each said real-time key work feature based on the priority relationship diagram, construct the corresponding sub-data class, use the sub-data class to construct the feature type attribute corresponding to the real-time key work feature, and set the corresponding work type label for the real-time key work feature using the feature type attribute.

3. The method for remote visual operation of a 3D printing device according to claim 2, wherein, Also includes: According to the acceptance of the printing task of the 3D printing device, determine the current printing progress of the 3D printing device, and obtain the priority relationship diagram corresponding to different time points, and construct the work process relationship diagram of the 3D printing device; Identify several task dynamics contained in the work process relationship diagram; Respectively, logical evaluation is performed on each said task dynamic, real-time printing logic information of the 3D printing device is constructed, and transmitted to the remote control platform for display.

4. The method of remote visualisation of a 3D printing device of claim 1, wherein, Said step 2, including: Step 21: Determine the feature dependency relationship between different said real-time key work features according to the work type label, and determine the transmission order of each said real-time key work feature according to the order from high to low of the corresponding dependency number of each said real-time key work feature; Step 22: Control the configuration network to respectively transmit each said real-time key work feature to the remote control platform according to the transmission order, and perform feature reorganization on the real-time key features according to the feature dependency relationship, to obtain several real-time work items of the 3D printing device; Step 23: Single simulation is performed on each said real-time work item, the remote synchronization information corresponding to each said real-time work item is determined, the static sub-information contained in the remote synchronization information is information positioned, and several real-time fixed features of the 3D printing device are obtained; Step 24: According to the real-time fixed features combined with the feature dependency relationship, the dynamic sub-information contained in the remote synchronization information is sequentially arranged, the synchronization printing live of the 3D printing device is obtained, and the synchronization printing live is displayed in the remote control platform.

5. The method of remote visualisation of a 3D printing device of claim 1, wherein, Also includes: The data information not equal to 0 after screening is regarded as abnormal information; Track the data generation position corresponding to the abnormal information in the real-time work data; Use the abnormal information to perform abnormal identification on the device equipment in the data generation position, determine the risk abnormality of the device equipment and display it.

6. The method of remote visualisation of a 3D printing device of claim 1, wherein, Said step 4, including: Step 41: A printing requirement instruction is issued by a user, and several printing conditions of the 3D printing device are constructed according to the printing requirement instruction, each said printing condition is fed back to the 3D printing device, and the response information corresponding to each said printing condition is obtained; Step 42: According to the response information, estimate the execution time length of the 3D printing device to complete the printing requirement instruction, control the 3D printing device to perform corresponding printing operation, and obtain the execution data of the 3D printing device within the execution time length; Step 43: The execution data is synchronously fed back to the remote control platform, the printing process of the 3D printing device is visualized and displayed.

7. A method for remote visualisation of a 3D printing device according to claim 6, wherein, Also includes: When the user issues a termination request instruction, an emergency priority is set for the termination request instruction, and the remote control platform controls the 3D printing device to execute the termination request instruction in priority according to the emergency priority.

8. A remote visualization operating system for a 3D printing device, characterized in that, Comprise: a data processing module for synchronously reducing dimension of real-time working data of a 3D printing device to obtain a plurality of real-time key working features of the 3D printing device, and setting a corresponding working type label for each real-time key working feature; a synchronous processing module for transmitting the real-time key working features to a remote control platform, reorganizing the real-time key working features according to the working type labels, and constructing a synchronous printing live of the 3D printing device; a progress analysis module for locating real-time live features corresponding to each working type label in the synchronous printing live by using the working type labels, determining and displaying real-time working parameters and real-time working progress of the 3D printing device; a remote control module for controlling the 3D printing device to perform corresponding printing operations in response to a printing request instruction issued by a user from the remote control platform, and synchronously feeding back a printing process to the remote control platform; the progress analysis module comprises: an abnormality evaluation unit for collecting label sample information corresponding to each working type label in the synchronous printing live according to a label attribute of each working type label, evaluating errors of the working type labels by using the label sample information, and determining a plurality of live abnormal features of the working type; a convergence analysis unit for converting each live abnormal feature into data information, determining a plurality of working types of the 3D printing device according to the real-time working data when the data information is not 0, and iteratively training each data information by using an iterative method to obtain a convergence radius corresponding to each data information under the working type; an error processing unit for determining an abnormal error value of the working type according to the convergence radius, and processing errors of the data information by using the abnormal error value, and generating working parameters of the 3D printing device according to an error processing result when the processed data information is 0; a progress display unit for generating working parameters of the 3D printing device according to the data information when the processed data information is not 0, and constructing and displaying real-time working progress of the 3D printing device according to a plurality of working parameters of the 3D printing device.

Images