Industrial mold 3D printer motion platform and 3D printer

By using a monitoring camera and motion monitoring system in an industrial mold 3D printer, and selecting monitoring time points in combination with the direction axis change frequency, the problems of large monitoring errors and low efficiency in the prior art are solved, and efficient and accurate monitoring effects are achieved.

CN120396353AInactive Publication Date: 2025-08-01LISHUI WEI INTELLIGENT EQUIP TECH CO LTD
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Patent Information

Application Number
CN202510473669.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-16
Publication Date
2025-08-01
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

During the continuous operation of existing industrial mold 3D printers, the monitoring method has problems such as large error or low efficiency. Especially in the printing process of complex areas, it is difficult for the existing monitoring method to accurately identify abnormal operating status.

Method used

The monitoring camera is used in combination with the motion monitoring system, and the monitoring time points are selected by obtaining the direction axis change frequency, and the image information is used to compare and identify abnormal operating status, reducing the continuous monitoring workload and improving monitoring accuracy.

Benefits of technology

It realizes efficient and accurate monitoring of industrial mold 3D printers during complex area printing, reduces monitoring workload, and improves monitoring accuracy and efficiency.

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Abstract

The invention relates to the technical field of 3D printing, in particular to an industrial mold 3D printer motion platform and a 3D printer. The system comprises a monitoring camera and a motion monitoring system. The monitoring mode analysis module is used for acquiring the direction axis replacement frequency of the industrial mold at different time points in advance, the direction axis replacement frequency is used as a basis for selecting the monitoring time points in the later period, and comparison and recognition are carried out in cooperation with the image monitoring information fed back in response, so that on one hand, continuous monitoring work is not needed, and the monitoring workload is reduced; on the other hand, monitoring work is carried out in a fixed-point mode by utilizing the positive correlation relation between the direction shaft replacement frequency and the error rate, and the monitoring accuracy is improved.
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Description

Technical Field

[0001] The present invention relates to the technical field of 3D printing, and more specifically, to a motion platform and a 3D printer for industrial mold 3D printing. Background Art

[0002] With the continuous development and maturity of 3D printing technology, its application prospect in industrial mold manufacturing is very broad. 3D printing technology will be increasingly applied to the manufacturing process of industrial molds, which can not only improve the efficiency of product development, reduce the cost of mold manufacturing, but also provide more possibilities for product customization and personalization. With the continuous upgrading of 3D printing technology hardware devices and materials, the quality and precision of the industrial molds manufactured by it will also be continuously improved, aiming to meet the higher requirements of industrial production for molds.

[0003] During the printing process of existing 3D printers for industrial molds, due to the need to meet mass production, they often need to run continuously. However, the continuous operation will cause the internal structure to run overload, and it is very easy to have running path errors, such as insufficient running distances of different direction axes, resulting in incomplete molds in the final forming. Therefore, during the continuous operation of the 3D printer, it is necessary to conduct intermittent monitoring on it. The existing monitoring methods mainly adopt the following two methods:

[0004] First, the monitoring time points are randomly selected. However, the abnormal situations often occur in the time periods with a higher frequency of direction axis changes, that is, during the printing process of complex areas of the mold, it is necessary to continuously adjust the horizontal, vertical and vertical positions. If the selected monitoring time points cannot adapt to these complex areas, it will lead to errors in the final monitoring results.

[0005] Second, continuous monitoring is carried out on the entire operation process. Although this monitoring method can obtain the position point changes in each time period, due to the complexity of the supplied molds, too much monitoring data is obtained through continuous monitoring, and it is necessary to compare them one by one later, with a large workload and low monitoring efficiency.

[0006] In order to solve the above problems, there is an urgent need for a motion platform and a 3D printer for industrial mold 3D printing. Summary of the Invention

[0007] The purpose of the present invention is to provide a motion platform and a 3D printer for industrial mold 3D printing to solve the problems raised in the above background art.

[0008] To achieve the above object, one of the objects of the present invention is to provide a motion platform for an industrial mold 3D printer, which includes a printing chamber and a motion frame installed inside the printing chamber. The motion frame includes a base, a backing plate, a pair of vertical rods installed on both sides of the top of the base, and a cross bar installed between the two vertical rods. A 3D printer is slidably arranged on the side of the cross bar. Driving mechanisms are configured on the cross bar, the base, and the vertical rods. A longitudinal monitoring cover is arranged at the connection position between the cross bar and the vertical rod, a vertical monitoring cover is arranged at the connection position between the vertical rod and the base, and a transverse monitoring cover is connected between the cross bar and the 3D printer. Monitoring cameras for monitoring are arranged inside the longitudinal monitoring cover, the vertical monitoring cover, and the transverse monitoring cover. The position during the movement of the motion frame is located through the monitored image information.

[0009] The monitoring of the monitoring camera is controlled by a motion monitoring system, and the motion monitoring system includes an operation data monitoring module, a monitoring mode analysis module, and a difference point data extraction module.

[0010] Among them, the operation data monitoring module is used to collect the printing motion trajectory of the current model, obtain the operation coordinates corresponding to different time points, and generate a direction axis coordinate database.

[0011] The monitoring mode analysis module combines the printing motion trajectory, obtains the direction axis change frequency in different time periods during the printing process, selects a predetermined monitoring time point, and matches the operation coordinates at the predetermined monitoring time point with the direction axis coordinate database in combination with the image information fed back by the monitoring camera to locate the abnormal operation state.

[0012] The difference point data extraction module is used to collect the data information in the abnormal operation state.

[0013] As a further improvement of the technical solution, searchlights are arranged on both sides of the monitoring camera, and the deflection angles of the searchlights are the same as those of the monitoring camera.

[0014] As a further improvement of the technical solution, the method for generating the direction axis coordinate database in the operation data monitoring module includes the following steps:

[0015] SA1. Collect the time consumed during the forming process of the current industrial mold and mark it as the forming time period.

[0016] SA2. Set an interval time, divide the forming time period according to the interval time, and obtain the corresponding monitoring time points.

[0017] SA3. Collect the monitoring data of the monitoring camera, obtain the operation coordinates corresponding to each monitoring time point, and bind them to generate a direction axis coordinate database.

[0018] As a further improvement of the technical solution, the method for obtaining the direction axis change frequency in different time periods during the printing process in the monitoring mode analysis module includes the following steps:

[0019] SB1. Define the monitoring time interval , and obtain the number of direction axis changes during the monitoring time period through the operating status of each direction axis ;

[0020] SB2. Calculate the direction axis change frequency = Number of direction axis changes / Monitoring time interval .

[0021] As a further improvement of the technical solution, the method for selecting a predetermined monitoring time point in the monitoring mode analysis module includes the following steps:

[0022] SB3. Define the direction axis change frequency threshold , and compare it with the direction axis change frequency corresponding to each monitoring time interval ;

[0023] When the direction axis change frequency ≥ Direction axis change frequency threshold , mark this monitoring time interval as a predetermined time interval ;

[0024] When the direction axis change frequency < Direction axis change frequency threshold , eliminate the corresponding monitoring time interval ;

[0025] SB4. Define the secondary interval time , and perform secondary division on the predetermined time interval to obtain each predetermined monitoring time point in the predetermined time interval .

[0026] As a further improvement of the technical solution, the method for matching with the direction axis coordinate database in the monitoring mode analysis module includes the following steps:

[0027] SB5. Extract each predetermined monitoring time point, and combine it with the real-time monitoring image of the monitoring camera to obtain the operating coordinates corresponding to each predetermined monitoring time point;

[0028] SB6. Match the operating coordinates corresponding to the corresponding time points in the direction axis coordinate database according to the predetermined monitoring time points, and compare the values on each direction axis;

[0029] The running coordinates where all direction axis data coincide are marked as normal running coordinates;

[0030] The running coordinates with numerical deviations are marked as abnormal running coordinates, and the corresponding abnormal direction axes are marked.

[0031] As a further improvement of the present technical solution, the motion monitoring system further includes a processing mode division module, which is used to collect historical abnormal state information and obtain a corresponding processing method in combination with the comparison results of the numerical values on the direction axis.

[0032] The second object of the present invention is to provide a 3D printer that cooperates with an industrial mold 3D printer motion platform, the 3D printer including a print head and a feed bin that supplies raw materials to the inner end of the print head, the print head is arranged on the side of the cross bar, and moves horizontally along the side of the cross bar under the action of the driving mechanism, the horizontal monitoring cover is arranged on the side of the print head, and moves synchronously with the print head.

[0033] Compared with the prior art, the present invention has the following beneficial effects:

[0034] In the industrial mold 3D printer motion platform and 3D printer, the monitoring mode analysis module is used to obtain the direction axis replacement frequency of the industrial mold at different time points in advance. The direction axis replacement frequency is used as the basis for selecting the monitoring time point in the later stage, and the image monitoring information fed back by the response is used for comparison and identification. On the one hand, there is no need for continuous monitoring, which reduces the monitoring workload. On the other hand, the positive correlation between the direction axis replacement frequency and the error rate is used to perform fixed-point monitoring, thereby improving the monitoring accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0036] Figure 2 This is a diagram showing the overall structure of the present invention;

[0037] Figure 3 This is a schematic diagram of the structure of the sports frame of the present invention;

[0038] Figure 4 This is the second schematic diagram of the sports frame structure of the present invention;

[0039] Figure 5 A side view of the sports frame of the present invention;

[0040] Figure 6 This is a structural block diagram of the motion monitoring system of the present invention.

[0041] The meaning of each number in the figure is:

[0042] 10. Printing bin; 20. Movement frame; 210. Base; 220. Pad; 230. Vertical rod; 231. Vertical monitoring cover; 240. Cross bar; 241. Longitudinal monitoring cover; 242. Transverse monitoring cover; 243. Monitoring camera; 244. Searchlight; 30. Print head; 310. Feeding bin

[0043] A. Operation data monitoring module

[0044] B. Monitoring mode analysis module

[0045] C. Difference point data extraction module

[0046] D. Processing mode division module Detailed implementation manners

[0047] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0048] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation to the present invention.

[0049] Please refer to Figure 1 As shown, one of the purposes of the present invention is to provide a motion platform for an industrial mold 3D printer, including a printing bin 10 and a movement frame 20 installed at the inner end of the printing bin 10. As Figures 2 - 4 shown, the movement frame 20 includes a base 210, a pad 220, a pair of vertical rods 230 installed on both sides of the top end of the base 210, and a cross bar 240 installed between the two vertical rods 230. A 3D printer is slidably arranged on the side of the cross bar 240. Driving mechanisms are configured on the cross bar 240, the base 210, and the vertical rods 230. As Figure 5As shown, a longitudinal monitoring cover 241 is provided at the connection position between the cross bar 240 and the vertical bar 230, a vertical monitoring cover 231 is provided at the connection position between the vertical bar 230 and the base 210, a transverse monitoring cover 242 is connected between the cross bar 240 and the 3D printer. Monitoring cameras 243 for monitoring are provided at the inner ends of the longitudinal monitoring cover 241, the vertical monitoring cover 231, and the transverse monitoring cover 242. The position of the moving frame 20 during movement is located through the monitored image information.

[0050] The monitoring of the monitoring camera 243 is controlled by a motion monitoring system. The motion monitoring system includes an operation data monitoring module A, a monitoring mode analysis module B, and a difference point data extraction module C.

[0051] Among them, the operation data monitoring module A is used to collect the printing motion trajectory of the current model, obtain the operation coordinates corresponding to different time points, and generate a direction axis coordinate database.

[0052] The monitoring mode analysis module B combines the printing motion trajectory, obtains the direction axis change frequency in different time periods during the printing process, selects a predetermined monitoring time point, and cooperates with the image information fed back by the monitoring camera 243 to obtain the operation coordinates of the predetermined monitoring time point, and matches them with the direction axis coordinate database to locate the abnormal operation state.

[0053] The difference point data extraction module C is used to collect data information in the abnormal operation state.

[0054] During specific use, during the monitoring process, in order to improve the monitoring efficiency and ensure the monitoring accuracy at the same time, first, before the monitoring work, it is necessary to obtain the printing process of the overall industrial mold, that is, at different time point states, under the adjustment of the driving mechanism, the position points where the 3D printer moves horizontally along the cross bar 240, the position points where the vertical bar 230 moves longitudinally to the top along the base 210, and the position points where the cross bar 240 moves vertically along the side of the vertical bar 230. During this process, the monitoring cameras 243 at each position are in a continuous video monitoring working state, and scale grooves are provided at the corresponding positions on the side of the cross bar 240, the side of the vertical bar 230, and the top of the base 210. At a certain time point state, through the image information fed back by the monitoring camera 243, the alignment position between the 3D printer and the side of the cross bar 240 is obtained as the X-axis coordinate point, the alignment position between the vertical bar 230 and the top of the base 210 is obtained as the Y-axis coordinate point, and the corresponding position between the cross bar 240 and the side of the vertical bar 230 is obtained as the Z-axis coordinate point, and the final operation coordinates are generated. As the printing position at the current time point, and the operation data monitoring module A collects the printing motion trajectory of the current model, obtains the operation coordinates corresponding to different time points, and generates a direction axis coordinate database as the comparison reference basis for later monitoring.

[0055] Since the changes of the direction axes (X-axis, Y-axis, and Z-axis) are too frequent within a certain time period, the corresponding probability of anomalies will also increase. Therefore, in order to improve the monitoring accuracy, it is necessary to use the monitoring mode analysis module B to combine with the printing movement trajectory, obtain the change frequency of the direction axes at different time periods during the printing process, select the predetermined monitoring time points, and cooperate with the image information feedback by the monitoring camera 243 to obtain the running coordinates at the predetermined monitoring time points, and match them with the direction axis coordinate database to locate the abnormal running state. That is, select the monitoring time points from the time periods with a high change frequency of the direction axes, obtain the real-time direction axis coordinate points through the monitoring cameras 243 at each position, and select the corresponding running coordinates at this time point in the direction axis coordinate database for comparison. When there is an inconsistency, it means that an anomaly has occurred. It should be noted that the definition of the above time points is based on the starting point of the entire 3D printer movement platform, and different time points are defined through the interval time difference;

[0056] After an anomaly occurs, the differential point data extraction module C collects the data information in the abnormal running state, including the moving positions of the 3D printer, the cross bar 240, and the vertical bar 230, and also includes the printing state of the industrial mold at the current time point.

[0057] The present invention obtains the change frequency of the direction axes of the industrial mold at different time points in advance through the monitoring mode analysis module B, uses the change frequency of the direction axes as the basis for selecting the monitoring time points in the later stage, and cooperates with the image monitoring information feedback by the corresponding monitoring camera 243 for comparison and identification. On the one hand, there is no need to carry out continuous monitoring work, reducing the monitoring workload. On the other hand, using the positive correlation between the change frequency of the direction axes and the error rate, the monitoring work is carried out in a fixed-point manner to improve the monitoring accuracy.

[0058] In addition, searchlights 244 are arranged on both sides of the monitoring camera 243, and the deflection angles of the searchlights 244 are the same as those of the monitoring camera 243.

[0059] During specific use, since debris will be generated during the printing process, some debris is easily adhered to the measuring surfaces of the cross bar 240, the vertical bar 230, and the base 210, that is, the side where the scale grooves are opened. At the same time, if the monitoring camera 243 is exposed, its lens will also adhere to some debris, resulting in occlusion of the later monitoring images and affecting the quality of the monitoring images. Therefore, the monitoring camera 243 is arranged inside the longitudinal monitoring cover 241, the vertical monitoring cover 231, and the transverse monitoring cover 242 to form an occlusion to protect the lens position of the monitoring camera 243. In order to ensure the clarity of the monitoring images, the illumination intensity of the area where the monitoring camera 243 is located is increased by setting the searchlights 244 to avoid too low illumination intensity affecting the quality of the monitoring images.

[0060] Further, the method for generating the direction axis coordinate database in the operation data monitoring module A includes the following steps:

[0061] SA1. Collect the time consumed during the forming process of the current industrial mold and mark it as the forming time period;

[0062] SA2. Set an interval time, divide the forming time period according to the interval time, and obtain the corresponding monitoring time points;

[0063] SA3. Collect the monitoring data of the monitoring camera 243, obtain the running coordinates corresponding to each monitoring time point, and bind them to generate the direction axis coordinate database.

[0064] In specific use, for the convenience of later comparison and identification and locating abnormal operation points, first collect the time consumed during the forming process of the current industrial mold and mark it as the forming time period, that is, the total time spent in the forming process of the industrial mold. Subsequently, set an interval time, divide the forming time period according to the interval time, and obtain the corresponding monitoring time points. To increase the comparison range of the database, the interval time adopted in the present invention is the time spent on moving along the direction axis for the shortest interval on its scale line. For example, the distance between adjacent scale values in a certain scale line is 1 cm, that is, the time spent on the current setting of running 1 cm is the interval time. Finally, collect the monitoring data of the monitoring camera 243, obtain the running coordinates corresponding to each monitoring time point, and bind them to generate the direction axis coordinate database. That is, through the monitoring data of the monitoring camera 243, obtain the scale value aligned by the device moving in the scale groove, that is, the scale value aligned by the 3D printer on the side of the cross bar 240, which is the value on the X axis, the scale value aligned by the vertical bar 230 at the top of the base 210, which is the value on the Y axis, and finally the value aligned by the cross bar 240 on the side of the vertical bar 230, which is the value on the Z axis. Finally, the running coordinates (X, Y, Z) at the current time point.

[0065] Still further, the method for obtaining the direction axis change frequency in different time periods during the printing process in the monitoring mode analysis module B includes the following steps:

[0066] SB1. Set a monitoring time interval , and obtain the number of times the direction axis changes within the monitoring time period through the running states of each direction axis ;

[0067] SB2. Calculate the direction axis change frequency = the number of times the direction axis changes / the monitoring time interval .

[0068] Specifically, the method for selecting predetermined monitoring time points in the monitoring mode analysis module B includes the following steps:

[0069] SB3. Set the threshold for the direction axis change frequency and compare it with the direction axis change frequency corresponding to each monitoring time interval ;

[0070] When the direction axis change frequency ≥ the threshold for the direction axis change frequency , mark this monitoring time interval as a predetermined time interval ;

[0071] When the direction axis change frequency < the threshold for the direction axis change frequency , eliminate the corresponding monitoring time interval ;

[0072] SB4. Set the secondary interval time and perform a secondary division on the predetermined time interval to obtain each predetermined monitoring time point in the predetermined time interval.

[0073] In addition, the method of matching with the direction axis coordinate database in the monitoring mode analysis module B includes the following steps:

[0074] SB5.Extract each predetermined monitoring time point and combine it with the real-time monitoring image of the monitoring camera 243 to obtain the running coordinates corresponding to each predetermined monitoring time point;

[0075] SB6.According to the predetermined monitoring time point, match the running coordinates corresponding to the corresponding time point in the direction axis coordinate database and compare the values on each direction axis;

[0076] Mark the running coordinates where all direction axis data coincide as normal running coordinates;

[0077] Mark the running coordinates with numerical deviations as abnormal running coordinates and mark the corresponding abnormal direction axes.

[0078] In specific use, during the process of positioning the abnormal running state, it is first necessary to set the monitoring time interval and obtain the number of direction axis changes during the monitoring time period through the running states of each direction axis . To ensure that all subsequent predetermined monitoring time points can match the corresponding time points in the direction axis coordinate database, the monitoring time interval in the present invention has an integer multiple relationship with the above-mentioned interval time, that is, when the set interval time is , the corresponding monitoring time interval is , where n is a positive integer, when obtaining the number of times the direction axis changes during the monitoring time period As long as the direction of the motion platform of the entire industrial mold 3D printer changes, the number of changes is incremented. For example, after the vertical rod 230 completes the longitudinal displacement work along the top of the base 210 and stops, then the horizontal rod 240 moves vertically along the side of the vertical rod 230, that is, the movement is adjusted from the Y-axis to the Z-axis;

[0079] After completing the statistical work of the number of times the direction axis changes calculate the direction axis change frequency = number of times the direction axis changes / monitoring time interval , that is, the ratio of the two. Since the level of the direction axis change frequency is positively correlated with the abnormal operating state, it is necessary to set a threshold for the direction axis change frequency , and compare it with the direction axis change frequency corresponding to each monitoring time interval ;

[0080] When the direction axis change frequency ≥ direction axis change frequency threshold , mark this monitoring time interval as a predetermined time interval ;

[0081] When the direction axis change frequency < direction axis change frequency threshold , eliminate the corresponding monitoring time interval ;

[0082] That is, select a predetermined monitoring time point from the current predetermined time interval , set a secondary interval time , and perform a secondary division on the predetermined time interval to obtain each predetermined monitoring time point in the predetermined time interval . It should be noted that the predetermined time interval is a positive integer multiple of the secondary interval time , so as to ensure that the final predetermined monitoring time points can match the corresponding time points in the direction axis coordinate database. Finally, match the operating coordinates corresponding to the time points in the direction axis coordinate database according to the predetermined monitoring time points, and compare the values on each direction axis;

[0083] Mark the operating coordinates where all direction axis data coincide as normal operating coordinates;

[0084] Mark the operating coordinates with numerical deviations as abnormal operating coordinates and mark the corresponding abnormal direction axes.

[0085] Further, the motion monitoring system further includes a processing mode division module D. The processing mode division module D is configured to collect historical abnormal state information and obtain corresponding processing methods in combination with the comparison results of the numerical values on the direction axes. In specific use, since different abnormal situations corresponding to the numerical value deviations on different direction axes are different, and the corresponding processing methods will also be different. To improve the subsequent processing efficiency, the processing mode division module D collects historical abnormal state information, that is, when an abnormality occurs, the numerical values monitored by each direction axis are compared with the actual monitoring results to predict the abnormal type and match the corresponding processing method.

[0086] Another object of the present invention is to provide a 3D printer that cooperates with the motion platform of an industrial mold 3D printer. The 3D printer includes a print head 30 and a feed bin 310 for supplying raw materials to the inner end of the print head 30. The print head 30 is disposed on the side of the cross bar 240 and horizontally moves along the side of the cross bar 240 under the action of a driving mechanism. A lateral monitoring cover 242 is disposed on the side of the print head 30 and moves synchronously with the print head 30. During the printing process, the driving mechanism disposed on the side of the cross bar 240 drives the print head 30 to slide along the side of the cross bar 240 to adjust the position of the print head 30 on the X-axis. The driving mechanism disposed at the top of the base 210 drives the vertical bar 2 and the print head 30 to slide along the top of the base 210, that is, to adjust the position of the print head 30 on the Y-axis. Finally, the driving mechanism disposed on the side of the vertical bar 2 and the print head 30 drives the cross bar 240 to slide in the vertical direction, that is, to adjust the position of the print head 30 on the Z-axis, adjust the print head 30 to different areas, and use the raw materials supplied by the feed bin 310 to perform real-time printing work.

[0087] The foregoing has shown and described the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and the descriptions in the specification are only preferred examples of the present invention and are not used to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. An industrial mold 3D printer motion platform, comprising a printing chamber (10) and a motion frame (20) installed at the inner end of the printing chamber (10). The motion frame (20) includes a base (210), a backing plate (220), a pair of vertical rods (230) installed on both sides of the top end of the base (210), and a cross bar (240) installed between the two vertical rods (230). A 3D printer is slidably arranged on the side of the cross bar (240). Driving mechanisms are configured on the cross bar (240), the base (210), and the vertical rods (230). It is characterized in that: A longitudinal monitoring cover (241) is provided at the connection position between the cross bar (240) and the vertical bar (230), a vertical monitoring cover (231) is provided at the connection position between the vertical bar (230) and the base (210), a transverse monitoring cover (242) is connected between the cross bar (240) and the 3D printer, and monitoring cameras (243) for monitoring are provided at the inner ends of the longitudinal monitoring cover (241), the vertical monitoring cover (231) and the transverse monitoring cover (242). The position of the moving frame (20) during movement is located through the monitored image information. The monitoring of the monitoring camera (243) is controlled by a motion monitoring system, and the motion monitoring system includes an operation data monitoring module (A), a monitoring mode analysis module (B) and a difference point data extraction module (C). Among them, the operation data monitoring module (A) is used to collect the printing motion trajectory of the current model, obtain the operation coordinates corresponding to different time points, and generate a direction axis coordinate database. The monitoring mode analysis module (B) combines the printing motion trajectory, obtains the direction axis change frequency in different time periods during the printing process, selects a predetermined monitoring time point, and cooperates with the image information fed back by the monitoring camera (243) to obtain the operation coordinates of the predetermined monitoring time point, and matches them with the direction axis coordinate database to locate the abnormal operation state. The difference point data extraction module (C) is used to collect data information in the abnormal operation state.

2. The motion platform of the industrial mold 3D printer according to claim 1, characterized in that: Searchlights (244) are provided on both sides of the monitoring camera (243), and the deflection angles of the searchlights (244) are the same as those of the monitoring camera (243).

3. The motion platform of the industrial mold 3D printer according to claim 1, characterized in that: The method for generating the direction axis coordinate database in the operation data monitoring module (A) includes the following steps: SA1: Collect the time consumed during the forming process of the current industrial mold and mark it as the forming time period. SA2: Set an interval time, divide the forming time period according to the interval time, and obtain the corresponding monitoring time points. SA3: Collect the monitoring data of the monitoring camera (243), obtain the operation coordinates corresponding to each monitoring time point, and bind them to generate a direction axis coordinate database.

4. The motion platform of the industrial mold 3D printer according to claim 1, characterized in that: The method for obtaining the direction axis change frequency in different time periods during the printing process in the monitoring mode analysis module (B) includes the following steps: SB1. Define the monitoring time interval Mt interval , and obtain the number of changes Ch of the direction axis during the monitoring time period based on the operating status of each direction axis number ; SB2. Calculate the change frequency Ch of the direction axis frequency = The number of changes Ch of the direction axis number / Monitoring time interval Mt interval .

5. The motion platform of the industrial mold 3D printer according to claim 4, characterized in that: The method for selecting a predetermined monitoring time point in the monitoring mode analysis module (B) includes the following steps: SB10. Set the direction axis change frequency threshold and compare it with the direction axis change frequency Ch interval corresponding to each monitoring time interval Mt frequency for comparison; When the direction axis change frequency Ch frequency ≥ the direction axis change frequency threshold Mark the monitoring time interval Mt interval as the predetermined time interval St interval ; When the direction axis change frequency Ch frequency <Direction axis change frequency threshold Exclude the corresponding monitoring time interval Mt interval ; SB20, formulate the secondary interval time Si time , for the predetermined time interval St interval make a secondary division to obtain the predetermined time interval St interval and each predetermined monitoring time point in it.

6. The motion platform of the industrial mold 3D printer according to claim 5, characterized in that: The method for matching with the direction axis coordinate database in the monitoring mode analysis module (B) includes the following steps: SB100: Extract each predetermined monitoring time point, and combine the real-time monitoring image of the monitoring camera (243) to obtain the operation coordinates corresponding to each predetermined monitoring time point. SB200: Match the operation coordinates corresponding to the corresponding time points of the direction axis coordinate database according to the predetermined monitoring time point, and compare the values on each direction axis. Mark the operation coordinates with all direction axis data coinciding as normal operation coordinates. Mark the operation coordinates with numerical deviations as abnormal operation coordinates and mark the corresponding abnormal direction axes.

7. The motion platform of the industrial mold 3D printer according to claim 1, wherein: The motion monitoring system further includes a processing mode division module (D). The processing mode division module (D) is configured to collect historical abnormal state information and obtain corresponding processing methods in combination with the comparison results of the numerical values on the direction axes.

8. A 3D printer for a motion platform of an industrial mold 3D printer according to claim 1, characterized in that: The 3D printer includes a print head (30) and a material supply bin (310) for supplying raw materials to the inner end of the print head (30). The print head (30) is disposed on the side of the cross bar (240) and horizontally moves along the side of the cross bar (240) under the action of the driving mechanism. The lateral monitoring cover (242) is disposed on the side of the print head (30) and moves synchronously with the print head (30).