TWI773192B - A control platform structure of three-axis processing machine and a processing method thereof - Google Patents

Abstract

The present invention provides a control platform structure of three-axis processing machine, including: a body, a first processing axis unit, a second processing axis unit, a third processing axis unit, a plurality of tools, a fixing measuring unit, a first measuring unit group, and a processing unit. The fixing measuring unit is used for fixing a workpiece to be processed and measuring the size of the workpiece. The first measuring unit group is used to measure the sizes of a first head, a second head, and a third head, and the plurality of tools. The processing unit is used to compare the measured sizes of the workpiece, the heads, and the tools with processing drawings to determine the movement sequence of the first processing axis unit, the second processing axis unit and the third processing axis unit.

Description

Three-axis machining machine control platform structure and its machining method

The invention relates to a control platform structure of a three-axis processing machine and a processing method thereof, in particular to a control platform structure of a three-axis processing machine that can optimize the processing sequence of each processing machine and can effectively prevent collision between the processing machines and its processing method.

In the prior art, for a multi-axis processing machine, the height of the workpiece to be processed is usually measured along the processing track of the workpiece beforehand, and then the workpiece to be processed is processed, thereby reducing the time required for processing and reducing the amount of time required for processing. The possibility of the machining head colliding with the workpiece to be machined. However, such an approach only prevents the processing head from hitting the workpiece to be processed, and it is still unavoidable to prevent collision between the processing axes of the processing machine.

When the sensing mechanism provided on the conventional processing machine touches the foreign object due to the displacement of the working head, the state change of the sensing mechanism is used as a mechanism to prompt the collision avoidance. An elastic buffer is generated to prevent the subsequent work head from colliding, and the time of the elastic buffer is used as the reaction time of the work head to correct the processing path. However, such an approach is a precondition that the foreign object has collided with the sensing mechanism, and the sensing mechanism is easily damaged in the long run.

Furthermore, in the prior art, the size of each tool placed in the tool magazine is usually confirmed to avoid the occurrence of tool collision during the machining process due to wrong size setting. However, there is no related mechanism to directly prevent the processing machines from colliding with each other. Furthermore, in the prior art, there is no It is a related technology that comprehensively analyzes and processes the tool real-time information obtained by real-time monitoring of the processing status and the mechanism to avoid the collision of the processing machine. In other words, at present, there is no effective method in the industry to determine in advance and in real time whether the processing machine performs processing operations through appropriate processing parameters and the probability of collision during the operation of various processing machines.

Furthermore, in the prior art, a two-dimensional image is obtained by capturing a plurality of three-dimensional images of a processing environment other than the processing machine and reducing the dimension thereof, and performing in-depth analysis on the two-dimensional image. Set machining steps to avoid tool collision. However, this method needs to capture a large number of images of a processing environment other than the processing machine and perform in-depth analysis on the large number of images with various complex algorithms, which requires a lot of cost in software resources.

Therefore, in order to overcome the aforementioned problems, the present invention has been developed.

In order to effectively overcome the related mechanism in the prior art that only prevents the processing head from colliding with the workpiece to be processed, and does not directly avoid the collision of the processing axes of the processing machine with each other, and captures a large number of images of the processing environment other than the processing machine and uses this large number of The technical problem of in-depth analysis of images with a variety of complex algorithms, the present invention compares the dimensions of the workpiece to be processed, the head of the processing machine, and the tool measured with a processing drawing, and uses the processing tool during actual processing. Various data are used as another evaluation index to determine the moving order of the first processing axis unit, the second processing axis unit and the third processing axis unit, without capturing a large number of images of the processing environment other than the processing machine and using the large number of images as A variety of complex algorithms can be used for in-depth analysis to obtain the optimal machining sequence.

Furthermore, in order to effectively overcome the technical problem in the prior art that the state change of the sensing mechanism is used as a mechanism for prompting collision avoidance to generate elastic buffering to avoid the collision of subsequent working heads, the present invention uses collision avoidance devices respectively provided on the beam and the base. are used to define the first machining axis unit, The displacement limit of the second processing shaft unit and the third processing shaft unit; and cooperate with the anti-collision unit of the present invention to sense respectively and warn that the closest distance between at least two of the processing shaft units does not exceed a preset value, and achieve the technical effect of effectively avoiding collision between machining axes without the need for a mechanism of reaction time as in the prior art.

In order to achieve the aforementioned purpose, the present invention provides a three-axis machining machine control platform structure, including: a main body, a first machining axis unit, a second machining axis unit, a third machining axis unit, a plurality of tools, a fixed measurement unit, a first measurement unit Unit groups and processing units. The body comprises: a base and a beam, and the beam is located above the base. The first machining shaft unit is arranged on one side of the main body, and the first machining shaft unit is connected to the beam in a manner of relative horizontal displacement. The first machining shaft unit includes a first head. The second machining shaft unit is disposed on the other side of the main body, and is connected to the base in a relatively horizontal displacement manner. The second machining shaft unit includes a second head. The third machining axis unit is arranged between the first machining axis unit and the second machining axis unit, the third machining axis unit is connected to the beam in a manner of relative horizontal displacement, and the third machining axis unit includes A third head. The plurality of knives include a first knife, a second knife and a third knife, the first knife is connected to the first head; the second knife is connected to the second head; the third knife is connected to the Third head. The fixed measuring unit is located in the middle of the base, and is used to fix a workpiece to be processed and measure the size of the workpiece to be processed. The first measuring unit group is respectively set on the travel route of the first machining axis unit, the second machining axis unit and the third machining axis unit, and is used to measure the first head and the second head respectively and the dimensions of the third head and the plurality of cutters. The processing unit determines the first machining axis unit, the second machining axis unit and the third machining axis by comparing the measured dimensions of the workpiece, the heads, and the tools with the machining drawing. The order of movement of the axis units.

During implementation, the fixed measuring unit includes a movable vise, a press vise or a fixed vise, which is used to fix and measure the size of the workpiece to be processed.

During implementation, the first measurement unit group includes a plurality of photoelectric switches, and the plurality of photoelectric switches are respectively disposed on the beam and the base to measure the first machining axis unit and the second machining axis unit Dimensions of the first head, the second head, the third head and the first tool, the second tool and the third tool included in the third machining axis unit respectively.

During implementation, the first tool, the second tool or the third tool includes a tool body, the end of which is connected to a machining tool; the three-axis machining machine control platform structure further includes a second measurement unit group, The second measurement unit group includes a sleeve member sleeved on the outer side of the tool body; the second measurement unit group is adjacent to the tool body, and the second measurement unit group includes at least one A sensing module, the at least one sensing module is disposed on the inner side of the sleeve for sensing the tool body and generating at least one sensing data.

During implementation, the second measurement unit group further includes a wireless transmission module, the wireless transmission module is connected to each of the sensing modules, and each of the sensing modules transmits each of the sensing data to the wireless transmission module Group.

When implemented, it further includes: a wireless receiving module, which is connected to the wireless transmission module, and the wireless receiving module receives each sensing data transmitted by the wireless transmission module. The processing unit is connected to the wireless receiving module and further includes a database, the processing unit receives each sensing data transmitted by the wireless receiving module, and the processing unit compares a tool characteristic data in the database Compare and analyze each of the sensing data.

During implementation, the sensing data includes vibration signal, stress signal, temperature or torque signal of a tool body.

When implemented, it further includes a first anti-collision device, which includes a plurality of buffer stops, the plurality of buffer stops are respectively arranged on the beam and the base to respectively define the first machining axis unit, the The displacement limit of the second machining axis unit and the third machining axis unit.

During implementation, it further includes a second anti-collision unit, which includes a sensor and a sensing block, the sensor and the sensing block are respectively arranged on the first processing shaft unit and the third processing shaft unit, and are used The closest distance between at least two of the first machining axis unit and the third machining axis unit is not more than a preset value by sensing respectively.

During implementation, the present invention further provides a method for processing a workpiece to be processed by using the aforementioned three-axis processing machine control platform structure, which includes: Step A, Step B, and Step C. In the step A, the fixed measuring unit is used to fix and measure the size of the workpiece to be processed. In the step B, the first tool, the second tool and the first tool included in the first machining axis unit, the second machining axis unit and the third machining axis unit are detected by the first measurement unit group. The third tool and the dimensions of the first head, the second head and the third head. in this step C. The processing unit is used to compare the dimensions of the workpiece, the heads, and the tools with the machining drawing, so as to determine the first machining axis unit, the second machining axis unit and the third machining axis unit the movement order.

During implementation, the step C further includes: when at least one of the three machining axis units is approaching a preset limit position during machining or when the processing unit receives a message that a proximity switch is actuated, making the first At least one of the machining axis unit, the second machining axis unit and the third machining axis unit stops moving and returns to a predetermined safe position.

During implementation, the step C further includes: when at least one of the three processing shaft units is being processed and approaches a preset limit position or when the processing unit receives a proximity switch When the message is actuated, stop the movement of the third machining axis unit and return to the preset safety position, and make the first machining axis unit and the second machining axis unit continue to process, when the first machining axis unit and the second machining axis unit are processed After the shaft unit is processed and returned to the preset safety position, the third processing shaft unit is allowed to continue processing.

During implementation, the step C further includes: using a second anti-collision unit to sense that the first processing shaft unit and the third processing shaft unit are at a closest distance to each other to issue a warning.

During implementation, the step C further includes: using the processing unit to detect whether the load output information of each machining axis unit is abnormal, and causing the first machining axis unit, the second machining axis unit and the third machining axis to be abnormal if there is an abnormality At least one of the shaft units returns to a preset safety position, and if there is no abnormality, the processing unit causes the first processing shaft unit, the second processing shaft unit and the third processing shaft unit to continue processing.

During implementation, the step C further includes: when the second machining axis unit and the third machining axis unit are changing tools, a second anti-collision unit is used to sense the second machining axis unit and the third machining axis The units emit a warning when they are at the closest distance to each other.

1: Ontology

2: The first machining axis unit

3: Second machining axis unit

4: The third machining axis unit

5: Fixed measuring unit

6: Buffer stop

7: Tool body

8: The second measurement unit group

9: Machining tools

10: Wireless receiving module

11: Base

12: Beam

13: Intelligent adjustment system

14: Analysis module

15:Database

21: First Head

51: Press down the vise

52: Fixed vise

71: Spindle assembly

72: Clamping part

73: Connector

81: Sensing module

82: Wireless transmission module

83: Power Module

131: Cloud computing device

132: Data receiving device

1311: Neural-like network models

D1: Model data

D2: Real recession rate

D3: Actual impact rate

N: network

T: target processing machine

X1: Induction block

X2: Sensor

FIG. 1 is a front view of an embodiment of a control platform structure of a three-axis machining machine according to the present invention.

FIG. 2 is a perspective view of an embodiment of the control platform structure of the three-axis machining machine according to the present invention.

FIG. 3 is a schematic structural diagram of an embodiment of a three-axis machining machine control platform structure of the present invention.

4 is a schematic diagram of a second measurement unit group of an embodiment of a three-axis machining machine control platform structure of the present invention.

Fig. 5 is the use state of the embodiment of the control platform structure of the three-axis machining machine according to the present invention Schematic.

6 is a flow chart of a method for processing a workpiece to be processed by using the three-axis processing machine control platform structure of the present invention.

FIG. 7 is a schematic structural diagram of an intelligent adjustment system of the three-axis machining machine control platform structure of the present invention.

In order to further understand the present invention, the following preferred embodiments are given, and the specific components of the present invention and the achieved effects are described in detail as follows in conjunction with the drawings and drawing numbers.

Please refer to FIG. 1 and FIG. 2 , the present invention provides a three-axis machining machine control platform structure, including: a main body 1, a first machining axis unit 2, a second machining axis unit 3, a third machining axis unit 4, a plurality of tools , a fixed measurement unit 5 , a first measurement unit group (not shown) and a processing unit (not shown). The body includes: a base 11 and a beam 12 , and the beam 12 is located above the base 11 . The first machining shaft unit 2 is disposed on one side of the main body 1, and the first machining shaft unit 2 is connected to the beam 12 in a relatively horizontal displacement manner. The first machining shaft unit 2 includes a first head Section 21.

Please refer to FIG. 1 and FIG. 2 , the second processing shaft unit 3 is disposed on the other side of the main body 1 , and the second processing shaft unit 3 is connected to the base 11 in a relatively horizontal displacement manner. The machining shaft unit 3 includes a second head. The third machining shaft unit 4 is disposed between the first machining shaft unit 2 and the second machining shaft unit 3 , and the third machining shaft unit 4 is connected to the beam 12 in a manner of relative horizontal displacement. The three-axis unit 4 includes a third head (not shown). The plurality of knives include a first knife, a second knife and a third knife, the first knife is connected to the first head 21; the second knife is connected to the second head 31; the third knife is connected in that Third head. The fixed measuring unit 5 is located in the middle of the base 11 for fixing a workpiece to be processed and measuring the size of the workpiece to be processed. The first measuring unit group is respectively set on the travel route of the first machining axis unit, the second machining axis unit and the third machining axis unit, and is used to measure the first head and the second head respectively and the dimensions of the third head and the plurality of cutters. The processing unit compares the measured dimensions of the workpiece, the heads, and the tools with the machining drawing, thereby determining the first machining axis unit 2 , the second machining axis unit 3 and the first machining axis unit 2 . The movement sequence of the three-axis unit 4.

Please refer to FIG. 1 and FIG. 2 , the fixed measuring unit 5 of the present invention includes a lower pressing vise 51 , a fixed vise 52 or a movable vise (not shown) for fixing and measuring the workpiece to be processed. size. In one embodiment, if the workpiece to be processed is H-shaped steel or L-shaped steel, the wings of the H-shaped steel or L-shaped steel are clamped by the pressing vice 51 and the fixed vice 52, so that the counter can measure the width of the workpiece. Size measurement. The web of H-beam or L-beam is clamped by pressing down the vise 51, so that the counter can measure the size of the web of the workpiece. In another embodiment, the present invention also uses the movable vise to detect the position and the tool length to avoid the tool of the first machining axis 2 from colliding with the tool; the movable vise is used for position detection and the lower pressing vise 51 is used for position detection Measuring to avoid the tool collision of the third machining axis 4 ; using a movable vise to measure the tool length to avoid the tool collision of the second machining axis 3 .

In one embodiment, the first measurement unit group includes a plurality of photoelectric switches (not shown), and the plurality of photoelectric switches are respectively disposed on the beam 12 and the base 11 to measure the first process. The first head 21, the second head, the third head, the first tool, the second head included in the shaft unit 2, the second machining shaft unit 3 and the third machining shaft unit 5 respectively The dimensions of the tool and this third tool. After the sensor of the present invention, such as the aforementioned photoelectric switch, detects that each processing axis unit has moved to a specific position, it transmits the detected signal to the aforementioned processing unit, and then the processing unit sends the detected signal to the aforementioned processing unit. Control each displacement mechanism of each machining axis unit to operate, so as to make the aforementioned displacement mechanism retreat slowly, the processing unit also uses photoelectric differential to calculate the tool length of the tool of each machining axis unit, and according to the tool length ratio. It is used to calculate the origin of the machining feed. After that, the position of the cutter head is memorized. Furthermore, in the present invention, the front limit switch and the rear limit switch are set for each oil cylinder stroke, and the rear limit switch is used as the origin. When the aforementioned vices are actuated to make the oil cylinder start to move, at this time, the counter starts to record the oil cylinder stroke. , to detect the width, height and height of each distance of the workpiece to be processed.

Please refer to FIG. 3 , the first tool, the second tool or the third tool of the present invention includes a tool body 7 , the end of which is connected to a processing tool 9 . The tool body 7 includes a spindle assembly portion 71 , a clamping portion 72 and a connecting portion 73 . The spindle assembly portion 71 is used to connect each machining axis unit. The clamping part 72 is connected to the spindle assembly part 71 , and the clamping part 72 is used for clamping or changing a tool by the tool magazine; Please refer to FIG. 4 , the structure of the three-axis machining machine control platform of the present invention further includes a second measurement unit group 8 , and the second measurement unit group 8 includes a sleeve member, and the sleeve member is sleeved on the tool body 7 outside. The second measurement unit group 8 is adjacent to the processing tool 9, and the second measurement unit group 8 includes at least one sensing module 81, and the at least one sensing module 81 is disposed inside the sleeve member, For sensing the tool body 7 and generating at least one sensing data. The machining tool 9 is, for example, a milling cutter, a drill, a turning tool, a saw blade, or the like. Please continue to refer to FIG. 4 , the second measurement unit group 8 further includes a wireless transmission module 82 , the wireless transmission module 82 is connected to each of the sensing modules 81 , and each of the sensing modules 81 transmits each of the sensing modules 81 . The measured data is sent to the wireless transmission module 82 .

Please refer to FIG. 5 , the aforementioned embodiment of the present invention further includes: a wireless receiving module 10 , which is connected to the wireless transmission module 82 , and the wireless receiving module 10 receives the sensing data transmitted by the wireless transmission module 82 . . The processing unit is connected to the wireless receiving module 84 and further includes an information The material library 15 , the processing unit receives the sensing data transmitted by the wireless receiving module 10 , and the processing unit compares and analyzes the sensing data according to the tool characteristic data in the database 15 . Each of the sensing data includes the vibration signal of the tool body 7 , the stress signal of the tool body 7 , the temperature of the tool body 7 or the torque signal of the tool body 7 .

Taking FIG. 3 as an example, the second measurement unit group 8 is, for example, a sleeve member, and a plurality of sensing modules 81 , a wireless transmission module 82 and a power module as shown in FIG. 4 can be arranged in the sleeve member. The group 83 can also be provided with a waterproof part (not shown) outside the second measurement unit group 8 to prevent the second measurement unit group 8 from being damaged by cutting fluid or other liquids. Therefore, for different tool bodies, in this embodiment, the second measurement unit group 8 is arranged at a position adjacent to the machining tool 9 , which can be closer to the sensing data of the machining tool 9 during actual machining. Furthermore, in another embodiment, the second measurement unit group 8 and the tool body 7 are connected in an integral manner. In another embodiment, the second measurement unit group 8 is detachably connected to the tool body 7 .

Please refer to FIG. 4 , the second measurement unit group 8 includes a sensing module 81 , a wireless transmission module 82 and a power module 83 . The number of the sensing modules 81 in this embodiment can be multiple, and each sensing module 81 senses the tool body 7 and generates at least one sensing data. The sensing data can be determined according to the type of the sensing module 81 . For example, the sensing module 81 is, for example, a vibration sensor, and the sensing data is the vibration signal of the tool body 7 during machining; the sensing module 81 is, for example, a strain gauge, and the sensing data is the tool during machining. The stress signal of the body 7; the sensing module 81 is, for example, a thermometer, and the sensing data is for the temperature of the tool body 7 during processing; the sensing module 81 is, for example, a torque sensor (Torque sensor), and the sensing data It is the torque signal for the tool body 7 during machining. In addition, the sensing data of the above-mentioned sensing module 81 can be converted into a digital signal through a signal conversion device, the wireless transmission module 82 is connected to each sensing module 81, and each sensing module 81 transmits each sensing data Feeding to the wireless transmission module 82 , the power module 83 is used to provide power to each sensing module 81 and the wireless transmission module 82 .

Please refer to FIG. 5 , in the embodiment of the present invention, the control platform structure of the three-axis machining machine further includes a wireless receiving module 10 and an analysis module 14 . The wireless receiving module 10 is connected to the wireless transmission module 82 in the second measurement unit group 8, the analysis module 14 is connected to the wireless receiving module 10, the analysis module 14 includes a database 15, and the database 15 has the characteristics of the handle material. In the embodiment of the present invention, the tool handle characteristic data may include a plurality of comparison parameters for different types of tool handles during processing. By comparing the tool handle characteristic data, it is possible to analyze whether the sensing data sensed by the sensing module 81 is in the within the normal range. In another embodiment, the database 15 also includes characteristic data for various types of toolholders and corresponding toolholders, which can provide the operator to select and set the toolholders currently used by the processing machine for specific analysis.

Furthermore, during actual processing, the sensing module 81 in the first tool, the second tool or the third tool senses the tool body 7 and generates at least one sensing data, and each sensing module 81 transmits sensing The data is sent to the wireless transmission module 82, and the wireless receiving module 10 receives the sensing data transmitted by the wireless transmission module 82. The sensing data includes, for example, a vibration signal for the tool body 7 during machining, a stress signal for the tool body 7 during machining, For the temperature of the tool body 7 during machining, for the torque signal of the tool body 7 during machining, etc. The analysis module 14 receives the sensing data transmitted by the wireless receiving module 10, and the analysis module 14 compares the various sensing information during the machining of the tool body 7 in the normal range according to the tool handle characteristic data in the database 15. And the integrated data of various sensing data to analyze the current wear, damage, life and other states of the first tool, the second tool or the third tool.

Embodiments of the present invention further include a first anti-collision device including a plurality of buffer stops The plurality of buffer stops are respectively arranged on the beam 12 and the base 11 to respectively define the displacement of the first processing shaft unit 2 , the second processing shaft unit 3 and the third processing shaft unit 4 limit. For example, please refer to FIG. 1 , the buffer stop 6 is provided on the beam 12 . In one embodiment, the limit position of each axial direction of the three machining shaft units of the present invention can be equipped with buffer stops, and the buffer stops can also be set in each axial direction of the three machining shaft units of the present invention according to the situation. at least one of the extreme positions.

The embodiment of the present invention further includes a second anti-collision unit, please refer to FIG. 1 , the second anti-collision unit includes a sensor X2 and a sensing block X1, and the sensor X2 and the sensing block X1 are respectively disposed in the first anti-collision unit The machining axis unit 2 and the third machining axis unit 4 are respectively used for sensing and warning that the closest distance between the first machining axis unit 2 and the third machining axis unit 4 does not exceed a preset value. Of course, in other embodiments, the second anti-collision unit of the present invention may also be disposed between any two of the first processing shaft unit 2 , the second processing shaft unit 3 and the third processing shaft unit 4 .

Please refer to FIG. 6 , which is an embodiment of a method for processing a workpiece to be processed using the three-axis processing machine control platform structure as described in the foregoing embodiments, including:

Step A: Use the fixed measuring unit to fix and measure the size of the workpiece to be processed.

Step B: Detect the first machining axis unit 2 and the second machining axis with the first measurement unit group The first tool, the second tool included in the unit 3 and the third machining axis unit 4 and the Dimensions of the third tool and the first head 21 , the second head and the third head.

Step C: Using the processing unit according to the size of the workpiece to be processed, the heads, and the tools and The machining drawings are compared to determine the first machining axis unit 2 and the second machining axis unit 3 and the movement sequence of the third machining axis unit 4.

In an embodiment of the present invention, a step X is further included before the step A, and the step X is to determine the machining sequence of the machining shaft units according to the machining drawing.

In an embodiment of the present invention, the step C further includes: when at least one of the three machining axis units is approaching a preset limit position during machining or when the processing unit receives a message that the proximity switch is actuated, making the At least one of the first machining axis unit 2 , the second machining axis unit 3 and the third machining axis unit 4 stops moving and returns to a preset safe position.

In an embodiment of the present invention, the step C further includes: when at least one of the three machining spindles is approaching a preset limit position during machining or when the processing unit receives a message that the proximity switch is actuated, making the first The three machining axis units 4 stop moving and return to the preset safety position, and the first machining axis unit 2 and the second machining axis unit 3 continue to process. When the first machining axis unit 2 and the second machining axis unit 3 are processed After completion and returning to the preset safe position, the third machining axis unit 4 is allowed to continue machining.

In an embodiment of the present invention, the step C further includes: using a second anti-collision unit to sense that the first machining axis unit 2 and the third machining axis unit 4 are at a closest distance to each other to issue a warning.

In an embodiment of the present invention, the step C further includes: using the processing unit to detect whether the load output information of each machining axis unit is abnormal, and if there is an abnormality, causing the first machining axis unit 2 and the second machining axis unit 3 and at least one of the third machining axis unit 4 returns to a preset safe position, if there is no abnormality, the processing unit makes the first machining axis unit 2, the second machining axis unit 3 and the third machining axis unit 4 Continue processing.

In the embodiment of the present invention, the step C further includes: when the second machining axis unit 3 and the third machining axis unit 4 are changing tools, sensing the second machining axis unit 3 with the second anti-collision unit A warning is issued when the third machining axis unit 4 is at the closest distance to each other.

Please refer to FIG. 7 , the structure of the three-axis machining machine control platform of the present invention further includes intelligence type adjustment system. As shown in the figure, the intelligent adjustment system 13 can include a cloud computing device 131 and a data receiving device 132, which can adjust the processing parameters of a target processing machine T and memorize the collision avoidance historical records during the processing. The target processing machine T may be various processing machine devices and sawing devices.

The cloud computing device 131 can include a neural network-like model 1311; the cloud computing device 131 can store the model data of a plurality of different processing machines and estimate the estimated tool decay under different processing parameters (such as tool rotation speed and tool drop speed, etc.). ratio and collision avoidance parameter records, etc. The neural network-like model 1311 can create various modules in advance through the current artificial intelligence training program.

In the training program, the cloud computing device 131 can collect historical data from the processing machines, which can include the model data of the processing machines, the tool rotation speed, the tool lowering speed, the motor current, the oil pressure temperature, the coolant temperature, the gears Box temperature, vibration data, accumulated cutting area, tool (such as drill tool) offset and collision avoidance records, etc. The model data can include machine model, workpiece model and tool model, etc.; workpiece model can include workpiece width and workpiece material, etc.; The tool model can include the number of tool teeth, tool pattern and tool material; the collision avoidance record includes the parameters of each machining axis, its head and the tool when each machining axis unit is too close to perform the collision avoidance mechanism. Data Analysis The above data are pre-processed and normalized to create a neural network-like model 1311 . Finally, the cloud computing device 131 can obtain the estimated tool decay rate, the machining shaft life evaluation, and the impact rate of the machining machines under different estimated machining parameters through the neural network-like model 1311 .

The data receiving device 132 can receive, through the network N, the model data D1 of the target processing machine T performing the processing operation, which can include machine model, workpiece model, tool model, and the like. Furthermore, the data receiving device 132 can continuously collect other operations of the target processing machine T through the network N Data, such as machining parameters (such as tool rotation speed and tool lowering speed, etc.), motor current, oil pressure temperature, coolant temperature, gearbox temperature, vibration data, cumulative cutting area, tool (such as drill tool) offset and collision avoidance The cloud computing device 131 can compare the model data D1 of the target processing machine T with the model data of these processing machines through the neural network-like model 1311 to confirm whether the model data D1 of the target processing machine T corresponds to Training data for the neural network-like model 1311. After confirming that the model data D1 of the target processing machine T corresponds to the training data of the neural network-like model 1311, the cloud computing device 131 can pre-process the collected data (for example, remove erroneous data and select appropriate data), and Through the neural network model 1311, the estimated processing parameters, collision avoidance records, etc. that match the model data D1 of the target processing machine T can be found according to the pre-processed data, and the estimated processing parameters can be calculated at the same time for processing. Estimated tool decline rates, machine axis life estimates, and impact probability for the job. The estimated machining parameters may include the rotational speed of the tool and the descending speed of the tool, etc., and the target machining machine T may use the estimated machining parameters to perform machining operations.

Furthermore, the data receiving device 132 can receive the actual decay rate D2 of the processing operation performed by the target processing machine T through the network N, and the cloud computing device 131 can perform the comparison procedure. In the comparison procedure, the cloud computing device 131 may compare the estimated tool recession rate with the actual recession rate D2, and may generate a comparison result.

In one embodiment, for example, if the comparison result shows that the difference between the estimated tool recession rate and the actual tool recession rate D2 is smaller than a preset threshold value, the cloud computing device 131 may perform a machining parameter optimization procedure. For example, the cloud computing device 131 can determine the tool rotation speed range according to the width of the workpiece, and can select possible tool rotation speeds from the tool rotation speed range, and can determine the tool lowering speed according to the MORSE formula, and use automatic numbering. A neural network (Autoencoder NN) model modifies the vibration data. Then, the cloud computing device 131 can The network model 1311 calculates a plurality of candidate machining parameters and a modified vibration data according to the above-mentioned data to calculate the candidate machining parameters with the lowest estimated tool decay rate as the suggested machining parameters, and enables the target machining machine T to process through the suggested machining parameters parameters for processing. Through the above-mentioned processing parameter optimization procedure, the target processing machine T can obtain the optimized processing parameters to perform the processing operation.

In the foregoing embodiment, on the contrary, if the comparison result shows that the difference between the estimated tool decay rate and the actual decay rate D2 is greater than the preset threshold value, the cloud computing device 131 can store the existing data, and increase the count value by one; at the same time, The cloud computing device 131 can search the cutting parameter chart to provide the recommended processing parameters, and then can perform the comparison procedure again through the actual decline rate D2 of the processing operation performed by the target processing machine T using the recommended processing parameters, so as to compare the results. The difference between the estimated tool recession rate and the actual recession rate D2 for the proposed machining parameters.

In another embodiment, if the count value is greater than a count threshold and the process parameter optimization procedure has not been triggered, the cloud computing device 131 may perform a reconstruction process; in the reconstruction process, the cloud computing device 131 may A new type of neural network model is generated according to the existing data, and suggested processing parameters are generated through the new type of neural network model, and the target processing machine T performs processing operations through the suggested processing parameters.

In another embodiment, for example, if the comparison result shows that the difference between the collision probability and the actual collision rate D3 is smaller than a preset threshold value, the cloud computing device 131 may perform an optimization procedure of collision avoidance parameters. The cloud computing device 131 can calculate the possible values of all collision avoidance parameters according to the data collected by the target processing machine T. For example, the cloud computing device 131 can determine the detailed flow of the operation of each machining axis according to the measured dimensions of each machining axis unit and its head and tool. Next, the cloud computing device 131 can calculate a plurality of optimized anti-collision processing sequences according to the above-mentioned data through the neural network-like model 1311, and can enable the target processing machine T to pass the suggested operation process of each processing axis Carry out processing work. Through the above-mentioned optimization procedure of the machining axis operation flow, the target machining machine T performs the machining operation with the optimized machining axis operation flow.

In the aforementioned embodiment, on the contrary, if the comparison result shows that the difference between the impact probability and the actual impact rate D3 is greater than the preset threshold value, the cloud computing device 131 can store the existing data and add one to the count value; at the same time, the cloud computing device 131 can search the processing parameter table to provide the recommended processing parameters, and then re-comparison the program with the actual impact rate D3 of the processing operation performed by the target processing machine T with the recommended processing parameters, so as to compare the estimated impact of the recommended processing parameters The difference between the rate and the actual impact rate D3. Similarly, in another embodiment, if the count value is greater than a count threshold value and the process parameter optimization procedure has not been triggered, the cloud computing device 131 can perform the reconstruction procedure; in the reconstruction procedure, the cloud computing The device 131 can generate a new type of neural network model according to the existing data, and generate suggested processing parameters through the new type of neural network model, and make the target processing machine T perform processing operations through the suggested processing parameters.

And if the cloud computing device 131 confirms that the model data D1 of the target processing machine T does not correspond to the training data of the neural network-like model 1311, the cloud computing device 131 can further search for the processing parameters of other processing machines with the same model data D1 as suggested processing parameters. If the cloud computing device 131 cannot find the processing parameters of other processing machines having the same model data D1, the cloud computing device 131 may search the processing parameter table to provide suggested processing parameters.

In addition, in the training program, the cloud computing device 131 can further analyze a plurality of processing factors of each processing machine through big data analysis to generate the factor weight directionality of these processing factors, and can calculate the factor weight direction of these processing factors integrated into the neural network-like model 1311. Therefore, the cloud computing device 131 can analyze the processing factors of the target processing machine T through the neural network-like model 1311 to generate a machine evaluation of the target processing machine T, so as to provide indicators for enabling The user can more clearly understand the mechanical state and actual operating state of the target processing machine T.

In addition, the cloud computing device 131 can further analyze the processing factors of the target processing machine T through the neural network-like model 11 , so as to generate the health state value of each element of the target processing machine T, analyze the vibration data of the target processing machine T and the target processing The operating status of the processing machine can be used to estimate the life of the machine itself and the tool of the target processing machine T, which can be used as a reference for users to perform maintenance operations.

Therefore, the present invention has the following advantages:

1. The present invention determines the first machining axis unit, the second machining axis unit and the The movement sequence of the three-axis unit can be used to obtain an optimized machining sequence.

2. The present invention uses the anti-collision devices respectively provided on the beam and the base to respectively define the displacement limit of the first machining axis unit, the second machining axis unit and the third machining axis unit; and cooperate with the present invention The anti-collision unit is used for separately sensing and warning that the closest distance between at least two of the machining axis units does not exceed a preset value, so as to achieve the technical effect of effectively avoiding collision between the machining axes.

3. The present invention uses the data receiving device to continuously collect various operating data of the processing machine through the Internet; and cooperates with the cloud computing device to carry out the model data of the target processing machine and the model data of the processing machines through the neural network model. Compare to confirm whether the model data of the target processing machine corresponds to the training data of the neural network model and pre-process the collected data, and use the neural network model to find out the target processing machine according to the pre-processed data. Estimated collision avoidance records that match the model data and can be calculated at the same time Based on the estimated processing parameters, the estimated collision probability of the processing operation is carried out, which effectively increases the overall collision avoidance efficiency.

The above are the specific embodiments of the present invention and the technical means used. According to the disclosure or teaching herein, many changes and modifications can be derived and deduced, which can still be regarded as equivalent changes made by the concept of the present invention. If the function does not exceed the substantial spirit covered by the description and drawings, it should be regarded as being within the technical scope of the present invention, and should be stated first.

To sum up, according to the content disclosed above, the present invention can clearly achieve the intended purpose of the invention, and provides a control platform structure of a three-axis machining machine and a processing method thereof, which are extremely valuable for industrial use, and the invention is proposed in accordance with the law patent application.

1: Ontology

2: The first machining axis unit

3: Second machining axis unit

4: The third machining axis unit

5: Fixed measuring unit

6: Buffer stop

11: Base

12: Beam

21: First Head

51: Press down the vise

52: Fixed vise

X1: Induction block

X2: Sensor

Claims (15)

A three-axis machining machine control platform structure, comprising: a body, which includes: a base and a beam, the beam is located above the base; a first machining shaft unit, which is arranged on one side of the main body, and is connected to the beam in a manner of relative horizontal displacement, and the first machining shaft unit includes a first head; a second processing shaft unit, which is disposed on the other side of the main body, and is connected to the base in a manner of relative horizontal displacement, and the second processing shaft unit includes a second head; A third machining shaft unit is arranged between the first machining shaft unit and the second machining shaft unit. The third machining shaft unit is connected to the beam in a way of relative horizontal displacement. The third machining shaft the unit includes a third header; A plurality of cutters, the plurality of cutters include a first cutter, a second cutter and a third cutter, the first cutter is connected to the first head; the second cutter is connected to the second head; the third cutter a knife is attached to the third head; a fixed measuring unit, located in the middle of the base, for fixing a workpiece to be processed and measuring the size of the workpiece; A first measurement unit group, which are respectively disposed on the travel paths of the first machining axis unit, the second machining axis unit and the third machining axis unit, for measuring the first head, the second machining axis the dimensions of the head and the third head and the plurality of knives: and a processing unit, which compares the measured dimensions of the workpiece, the heads, and the tools with a machining drawing, so as to determine the first machining axis unit, the second machining axis unit and the The movement sequence of the third machining axis unit. The three-axis machining machine control platform structure according to claim 1, wherein the fixed measuring machine The measuring unit includes a movable vise, a press vise or a fixed vise for fixing and measuring the size of the workpiece to be processed. The three-axis machine control platform structure of claim 1, wherein the first measurement unit group includes a plurality of photoelectric switches, and the plurality of photoelectric switches are respectively disposed on the beam and the base for measuring the The first head, the second head, the third head, the first tool, the second tool included in the first machining axis unit, the second machining axis unit, and the third machining axis unit, respectively with the dimensions of this third tool. The three-axis processing machine control platform structure according to claim 1, wherein the first tool, the second tool or the third tool comprises a tool body, the end of which is connected to a processing tool; the three-axis processing machine controls The platform structure further includes a second measurement unit group, the second measurement unit group includes a sleeve member, the sleeve member is sleeved on the outer side of the tool body; the second measurement unit group is adjacent to the tool body , and the second measurement unit group includes at least one sensing module, the at least one sensing module is disposed on the inner side of the sleeve member for sensing the tool body and generating at least one sensing data. The three-axis machining machine control platform structure according to claim 4, wherein the second measurement unit group further includes a wireless transmission module, the wireless transmission module is connected to each of the sensing modules, and each of the sensing modules The group transmits each of the sensing data to the wireless transmission module. The three-axis processing machine control platform structure as claimed in claim 5, further comprising: a wireless receiving module connected to the wireless transmission module, the wireless receiving module receiving each of the sensor signals transmitted by the wireless transmission module test data; The processing unit is connected to the wireless receiving module and further includes a database, the processing unit receives each sensing data transmitted by the wireless receiving module, and the processing unit is based on the database A tool characteristic data in the to compare and analyze each of the sensing data. The three-axis machining machine control platform structure as claimed in claim 4, wherein the sensing data includes a vibration signal, a stress signal, a temperature or a torque signal of a tool body. The three-axis machine control platform structure of claim 1, further comprising a first anti-collision device comprising a plurality of buffer stops, the plurality of buffer stops are respectively disposed on the beam and the base, and It is used to define the displacement limit of the first machining axis unit, the second machining axis unit and the third machining axis unit respectively. The control platform structure for a three-axis processing machine as claimed in claim 1, further comprising a second anti-collision unit, comprising a sensor and a sensing block, the sensor and the sensing block are respectively disposed on the first processing unit The shaft unit and the third processing shaft unit are respectively used for sensing and warning that the closest distance between the first processing shaft unit and the third processing shaft unit does not exceed a preset value. A method for processing a workpiece to be processed by using the three-axis processing machine control platform structure as claimed in claim 1, comprising: step A: fixing and measuring the size of the workpiece to be processed with the fixed measuring unit; step B: using the fixed measuring unit to measure the size of the workpiece to be processed; The first measurement unit group detects the first tool, the second tool, the third tool, and the first tool included in the first machining axis unit, the second machining axis unit, and the third machining axis unit, respectively. Dimensions of a head, the second head, and the third head; Step C: Compare the dimensions of the workpiece, the heads, and the tools with the machining drawing by the processing unit, so as to The moving sequence of the first machining axis unit, the second machining axis unit and the third machining axis unit is determined. The method of claim 10, wherein the step C further comprises: when at least one of the three machining axis units is being processed and approaches a preset limit position or when the When the management unit receives a message that a proximity switch is actuated, at least one of the first processing shaft unit, the second processing shaft unit and the third processing shaft unit stops moving and returns to a preset safe position. The method of claim 10, wherein the step C further comprises: when at least one of the three machining axis units is approaching a preset limit position during machining or when the processing unit receives a message that the proximity switch is actuated When , stop the movement of the third machining axis unit and return to the preset safety position, and make the first machining axis unit and the second machining axis unit continue to process, when the first machining axis unit and the second machining axis unit are machining After completing and returning to the preset safety position, the third machining axis unit is allowed to continue machining. The method of claim 10, wherein the step C further comprises: using a second anti-collision unit to sense that the first machining axis unit and the third machining axis unit are at a closest distance to each other to issue a warning. The method of claim 10, wherein the step C further comprises: using the processing unit to detect whether the load output message of each machining axis unit is abnormal, and if there is an abnormality, causing the first machining axis unit and the second machining axis At least one of the unit and the third machining axis unit returns to a preset safety position, and if there is no abnormality, the processing unit makes the first machining axis unit, the second machining axis unit and the third machining axis unit continue to process. The method of claim 10, wherein the step C further comprises: when the second machining axis unit and the third machining axis unit are changing tools, using a second anti-collision unit to sense the second machining axis unit A warning is issued when the third machining axis unit is at a closest distance to each other.

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