Intelligent position control mechanism for power tool

Abstract

The invention relates to the technical field of numerical control machine tool equipment control, in particular to a power tool intelligent position control mechanism which comprises a longitudinal shaft base, a guide sliding plate is slidably connected to the interior of the upper surface of the longitudinal shaft base, a fixing column is fixedly connected to the upper surface of the guide sliding plate, and a transverse shaft base is fixedly connected to the upper surface of the fixing column; according to the method, analysis is performed preliminarily from the angle of the control track of the tool base, so that the position adjustment of the tool base is realized quickly and safely with low consumption, and further analysis is performed from the angle of the control quality of the tool base, so that the regulation transmission and driving of the tool base are managed in a targeted manner, and the position control stability and accuracy are ensured; meanwhile, analysis is conducted from the angle of tool control risks, so that the operation condition of the tool can be known in time, control parameters can be automatically adjusted according to the prediction result, machining errors caused by tool abrasion and thermal deformation are effectively reduced, and the machining precision is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of CNC machine tool equipment control, and in particular to a power tool intelligent position control mechanism. Background Art

[0002] Intelligent position control of power tools is a core technology in the field of CNC machining. It achieves high-precision positioning and dynamic adjustment of tools in three-dimensional space by integrating sensor technology, intelligent algorithms and servo systems.

[0003] However, in the existing technology, it is difficult to plan the tool's movement route quickly, safely and with low energy consumption, which reduces the tool's position control effect. It is also difficult to monitor the tool's position control accuracy, which leads to reduced tool position control quality. At the same time, it is difficult to quickly locate and manage interference factors that cause errors. It is also difficult to monitor the tool status, making it impossible to adjust the tool parameters in a timely manner, making it difficult to effectively reduce machining errors caused by tool wear and thermal deformation.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the Invention

[0005] The purpose of the present invention is to provide a power tool intelligent position control mechanism to solve the technical defects mentioned above. The present invention initially analyzes from the perspective of the control trajectory of the tool seat so as to realize the position adjustment of the tool seat quickly, safely and with low consumption, and further analyzes from the perspective of the control quality of the tool seat so as to carry out targeted management of the control transmission and drive of the tool seat to ensure the stability and accuracy of the position control. At the same time, it analyzes from the perspective of tool control risk so as to timely understand the operation status of the tool, and then automatically adjust the control parameters according to the prediction results, effectively reducing the processing errors caused by tool wear and thermal deformation, and improving the processing accuracy.

[0006] The object of the present invention can be achieved through the following technical solutions: a power tool intelligent position control mechanism, comprising a longitudinal axis base, the upper surface of the longitudinal axis base is internally slidably connected to a guide slide, the upper surface of the guide slide is fixedly connected to a fixed column, the upper surface of the fixed column is fixedly connected to a transverse axis base, the interior of the transverse axis base is internally slidably connected to a movable slide, one side of the transverse axis base is fixedly connected to a driving member, the side of the movable slide away from the driving member is fixedly connected to a vertical axis frame, the lower end of the vertical axis frame is externally fixedly connected to an electric moving platform, and the side of the electric moving platform away from the vertical axis frame is fixedly connected to a tool seat;

[0007] Preferably, it further comprises a processor, wherein the processor is used to retrieve the control information of the tool holder and send the control information to the control planning module for control division and matching feedback analysis to obtain a preferred route;

[0008] The processor is used to retrieve the control data of the tool holder and send the control data to the control condition evaluation module for position control condition evaluation feedback analysis, and to perform discrimination processing on the obtained dynamic control fit and potential interference defect value to obtain a stable signal or a risk signal;

[0009] When a risk signal is generated, the interference positioning module is used to perform movement deviation and defect positioning feedback analysis on the starting and ending coordinates of the collected target center point to obtain the standard center point and abnormal center point;

[0010] When a stable signal is generated, the tool control module is used to perform tool control risk prediction feedback analysis on multiple sets of machining and cutting information of the collected tools, perform discrimination processing on the obtained tool wear and thermal deformation, and obtain a machining signal or an alarm signal.

[0011] Preferably, the control division and matching feedback analysis process is as follows:

[0012] The operation time period of the tool holder is collected and set as a time threshold, and the control information of the tool holder within the time threshold is obtained, the control information including the initial coordinates and the target coordinates, and a movement planning route of the tool holder is generated based on the initial coordinates and the target coordinates;

[0013] The running path distance of each mobile planning route is obtained and the running path distance is judged. If the running path distance is less than the preset running path distance threshold, the corresponding mobile planning route is judged to be a feasible route. If the running path distance is greater than or equal to the preset running path distance threshold, the corresponding mobile planning route is judged to be an infeasible route.

[0014] Preferably, a safety value of each feasible route is obtained, where the safety value represents the minimum straight-line distance between the control mechanism and the obstacle in the feasible route, and a feasible route corresponding to a safety value greater than or equal to a preset safety value threshold is set as a safe route;

[0015] The movement parameters of each safe route are obtained, including energy consumption value and movement duration. The product of the energy consumption value and the movement duration after data normalization is set as the equivalent feasible coefficient. The minimum value of the equivalent feasible coefficient is obtained, and the safe route corresponding to the minimum value of the equivalent feasible coefficient is set as the preferred route.

[0016] Preferably, the position control condition evaluation feedback analysis process is as follows: obtaining control data of the tool holder within a time threshold, the control data including dynamic control fit and potential interference defect value;

[0017] The dynamic control fit degree represents the average time between the moment when the control instruction of the tool holder is generated and the moment when the tool holder starts to execute the control instruction;

[0018] The dynamic control fit and potential interference defect value are discriminated and processed: if the dynamic control fit is equal to zero and the potential interference defect value is equal to zero, a stable signal is generated; if the dynamic control fit is not equal to zero or the potential interference defect value is not equal to zero, a risk signal is generated.

[0019] Preferably, the potential interference defect value indicates the number of drive devices in the horizontal, vertical and vertical directions whose operating health scores are lower than the preset operating health score threshold. The analysis process of the operating health score is as follows: the operating data of each drive device is input into the existing preset operating health score model to obtain the output operating health score, and the operating data includes operating temperature and operating voltage.

[0020] Preferably, the movement deviation and defect location feedback analysis process is as follows:

[0021] Obtain the center points of the guide slide, the transverse axis base, and the electric moving platform, and refer to the center points of the guide slide, the transverse axis base, and the electric moving platform as the target center point Mi, and set the target center point as i, i = 1, 2, 3;

[0022] The starting coordinates and ending coordinates of each target center point Mi are obtained, and the actual moving distance Ti of each target center point Mi is obtained based on the starting coordinates and the ending coordinates, and the actual moving distance Ti is judged. If the actual moving distance Ti is equal to the preset actual moving distance threshold, the corresponding target center point is judged to be a standard center point. If the actual moving distance Ti is not equal to the preset actual moving distance threshold, the corresponding target center point is judged to be an abnormal center point.

[0023] Preferably, when the abnormal center point is obtained, the operating health score of the driving equipment corresponding to the abnormal center point is obtained, and the operating health score is judged and processed. If the operating health score is less than the preset operating health score threshold, a fault interference signal is generated; if the operating health score is greater than or equal to the preset operating health score threshold, other interference signals are generated.

[0024] Preferably, the tool control risk prediction feedback analysis process is as follows:

[0025] Acquire multiple sets of machining and cutting information of the tool on the tool holder within a time threshold, the machining and cutting information including wear amount, thermal deformation amount, and cutting speed;

[0026] The collected machining and cutting information is preprocessed by denoising and normalization. The preprocessed machining and cutting information is divided into a training set and a test set. The training set is used to train the LSTM model, and finally the optimal LSTM model is obtained.

[0027] Preferably, the machining and cutting information collected in real time is input into the optimal LSTM model, the optimal LSTM model outputs the predicted tool wear and thermal deformation, and performs discrimination processing on the tool wear and thermal deformation: if the tool wear is less than a preset tool wear threshold, and the thermal deformation is less than a preset thermal deformation threshold, a machining signal is generated; if the tool wear is greater than or equal to the preset tool wear threshold, or the thermal deformation is greater than or equal to the preset thermal deformation threshold, an alarm signal is generated;

[0028] When an alarm signal is generated: the cooling information of the tool within the time threshold is obtained, the cooling information includes the coolant flow rate and the total amount of coolant per unit time, and the coolant flow rate and the total amount of coolant per unit time are judged and processed. If the coolant flow rate is less than the preset coolant flow rate threshold, or the total amount of coolant per unit time is less than the preset coolant total amount per unit time threshold, a cooling management signal is generated; if the coolant flow rate is greater than or equal to the preset coolant flow rate threshold, and the total amount of coolant per unit time is greater than or equal to the preset coolant total amount per unit time threshold, a cooling routine signal is generated.

[0029] The beneficial effects of the present invention are as follows:

[0030] (1) The present invention initially analyzes the tool holder from the perspective of control trajectory, so as to achieve rapid, safe and low-cost position adjustment of the tool holder, and further analyzes the tool holder from the perspective of control quality, so as to understand the overall state and accuracy of the tool holder during the control process, so as to carry out targeted management of the control transmission and drive of the tool holder to ensure the stability and accuracy of position control;

[0031] (2) The present invention analyzes from the perspective of the status of the moving and driving equipment through information feedback to determine whether the low control accuracy is caused by driving abnormalities, which helps to quickly lock the abnormal movement interference factors of the abnormal center point so as to carry out targeted and rational management and improve the overall operation and maintenance management efficiency. At the same time, it analyzes from the perspective of tool control risk so as to timely understand the operation status of the tool, and then automatically adjust the control parameters according to the prediction results, effectively reduce the processing errors caused by tool wear and thermal deformation, improve the processing accuracy, and at the same time understand whether the tool abnormality is caused by coolant abnormality, and then carry out targeted management of the coolant to improve the control safety of the tool. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The present invention will be further described below with reference to the accompanying drawings;

[0033] Figure 1 It is a three-dimensional diagram of the structure of the present invention;

[0034] Figure 2 It is a structural schematic diagram of the vertical axis frame of the present invention;

[0035] Figure 3 It is a flow chart of the system of the present invention;

[0036] Figure 4 It is a local analysis diagram of the present invention;

[0037] Figure 5 is a reference diagram of embodiment 1 of the present invention;

[0038] Legend: 1. Longitudinal axis base; 2. Guide slide; 3. Fixed column; 4. Horizontal axis base; 5. Moving slide; 6. Vertical axis frame; 7. Driving part; 8. Electric moving table; 9. Tool holder. DETAILED DESCRIPTION

[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0040] References to "embodiments" herein mean that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments;

[0041] Example 1:

[0042] See also Figures 1 to 5 As shown, the present invention is a power tool intelligent position control mechanism, comprising a longitudinal axis base 1, a guide slide 2 is slidably connected to the upper surface of the longitudinal axis base 1, a fixed column 3 is fixedly connected to the upper surface of the guide slide 2, a transverse axis base 4 is fixedly connected to the upper surface of the fixed column 3, a movable slide 5 is slidably connected to the interior of the transverse axis base 4, a driving member 7 is fixedly connected to one side of the transverse axis base 4, a vertical axis frame 6 is fixedly connected to the side of the movable slide 5 away from the driving member 7, an electric moving platform 8 is fixedly connected to the lower end of the vertical axis frame 6, and a tool holder 9 is fixedly connected to the side of the electric moving platform 8 away from the vertical axis frame 6;

[0043] The output end of the driving member 7 is fixedly connected to an adjusting screw rod, which passes through the interior of the movable slide 5, and the movement of the movable slide 5 is adjusted by the adjusting screw rod;

[0044] It should be noted that the entire control mechanism is controlled by an externally connected server. For example, the server controls the driving device inside the longitudinal axis base 1 to control the guide slide 2 to move on the longitudinal axis base 1, thereby achieving movement in the longitudinal axis direction. The server controls the driving member 7 to work so that the driving member 7 drives the movable slide 5 to move inside the transverse axis base 4 through the adjustment screw, thereby achieving movement in the transverse axis direction. The server controls the driving device inside the vertical axis frame 6 to control the electric movable platform 8 to move on the vertical axis frame 6, thereby achieving movement in the vertical axis direction.

[0045] The system further includes a processor for retrieving control information of the tool holder 9 and sending the control information to the control planning module for control division and matching feedback analysis, so as to achieve adjustment of the tool holder 9 quickly, safely and with low consumption. The specific control division and matching feedback analysis process is as follows:

[0046] The operation time period of the tool holder 9 is collected and set as a time threshold, and the control information of the tool holder 9 within the time threshold is obtained, the control information including the initial coordinates and the target coordinates, and a movement planning route of the tool holder 9 is generated based on the initial coordinates and the target coordinates;

[0047] Obtain the running path distance of each mobile planning route and perform a judgment on the running path distance. If the running path distance is less than a preset running path distance threshold, the corresponding mobile planning route is determined to be a feasible route. If the running path distance is greater than or equal to the preset running path distance threshold, the corresponding mobile planning route is determined to be an infeasible route.

[0048] Obtain the safety value of each feasible route, which represents the minimum straight-line distance between the control mechanism and the obstacle in the feasible route, and set the feasible route corresponding to the safety value greater than or equal to the preset safety value threshold as the safe route;

[0049] The movement parameters of each safe route are obtained, and the movement parameters include energy consumption value and movement duration. The product value obtained by multiplying the energy consumption value and the movement duration after data normalization is set as the equivalent feasible coefficient. The minimum value of the equivalent feasible coefficient is obtained, and the safe route corresponding to the minimum value of the equivalent feasible coefficient is set as the preferred route. The alarm response module is used to respond to the preferred route and immediately control the tool holder 9 to move according to the preferred route, so as to achieve the adjustment of the tool holder 9 quickly, safely and with low consumption.

[0050] The processor is used to retrieve the control data of the tool holder 9 and send the control data to the control condition evaluation module for position control condition evaluation feedback analysis to determine whether the potential risk of the position control of the tool holder 9 is too high, so as to carry out targeted early warning management based on the information feedback to ensure the stability and accuracy of the position control of the tool holder 9. The specific position control condition evaluation feedback analysis process is as follows:

[0051] Obtaining control data of the tool holder 9 within a time threshold, the control data including dynamic control fit and potential interference defect values;

[0052] The dynamic control fit degree represents the average time between the moment when the control instruction of the tool holder 9 is generated and the moment when the tool holder 9 starts to execute the control instruction;

[0053] The potential interference defect value indicates the number of drive devices whose operating health scores on the horizontal, vertical, and vertical axes are lower than the preset operating health score thresholds. The analysis process of the operating health score is as follows: the operating data of each drive device is input into the existing preset operating health score model to obtain the output operating health score. The operating data includes operating temperature, operating voltage, etc.

[0054] The dynamic control fit and potential interference defect value are judged and processed: if the dynamic control fit is equal to zero and the potential interference defect value is equal to zero, a stable signal is generated; if the dynamic control fit is not equal to zero, or the potential interference defect value is not equal to zero, a risk signal is generated. The alarm response module is used to respond to the stable signal or the risk signal, and immediately perform the preset early warning operation corresponding to the stable signal or the risk signal to understand the overall state and accuracy of the tool holder 9 during the control process, so as to carry out targeted management of the control transmission and drive of the tool holder 9 to ensure the stability and accuracy of the position control.

[0055] Example 2:

[0056] When a risk signal is generated, the interference positioning module is used to perform movement deviation and defect positioning feedback analysis on the collected start and end coordinates of the target center point. That is, from the perspective of movement and drive equipment status, it is analyzed to determine whether the low control accuracy is caused by drive abnormality. This helps to quickly lock the movement abnormality interference factor of the abnormal center point, thereby improving the overall operation and maintenance management efficiency, while reducing the interference of the drive equipment on the movement accuracy of the abnormal center point. The specific movement deviation and defect positioning feedback analysis process is as follows:

[0057] Obtain the center points of the guide slide 2, the transverse axis base 4, and the electric movable platform 8, and refer to the center points of the guide slide 2, the transverse axis base 4, and the electric movable platform 8 as the target center point Mi. Set the target center point as i, i = 1, 2, 3. When i = 1, it indicates the target center point of the guide slide 2; when i = 2, it indicates the target center point of the transverse axis base 4; when i = 3, it indicates the target center point of the electric movable platform 8;

[0058] The starting coordinates and the ending coordinates of each target center point Mi are obtained, and the actual movement distance Ti of each target center point Mi is obtained based on the starting coordinates and the ending coordinates. The actual movement distance Ti is then judged. If the actual movement distance Ti is equal to the preset actual movement distance threshold, the corresponding target center point is judged to be a standard center point. If the actual movement distance Ti is not equal to the preset actual movement distance threshold, the corresponding target center point is judged to be an abnormal center point.

[0059] When the abnormal center point is obtained, the operation health score of the driving equipment corresponding to the abnormal center point is obtained, and the operation health score is judged and processed. If the operation health score is less than the preset operation health score threshold, a fault interference signal is generated. If the operation health score is greater than or equal to the preset operation health score threshold, other interference signals are generated. The alarm response module is used to respond to the abnormal center point or fault interference signal or other interference signals to understand the control accuracy during the control process, so as to quickly lock the abnormal interference factors of the movement of the abnormal center point, so as to carry out targeted and rational management, improve the overall operation and maintenance management efficiency, and at the same time reduce the interference of the driving equipment on the movement accuracy of the abnormal center point, thereby helping to improve the movement accuracy of the abnormal center point;

[0060] When a stable signal is generated, the tool control module is used to perform tool control risk prediction and feedback analysis on multiple sets of collected cutting information of the tool, so as to timely understand the operation status of the tool and then automatically adjust the control parameters according to the prediction results, effectively reducing the processing errors caused by tool wear and thermal deformation and improving the processing accuracy. The specific tool control risk prediction and feedback analysis process is as follows:

[0061] Acquire multiple sets of machining and cutting information of the tool on the tool holder 9 within the time threshold, the machining and cutting information including wear amount, thermal deformation amount, cutting speed, etc.;

[0062] The collected machining and cutting information is preprocessed by noise reduction, normalization, and other operations. The preprocessed machining and cutting information is divided into a training set and a test set. The training set is used to train the LSTM model, and the optimal LSTM model is finally obtained.

[0063] The processing and cutting information collected in real time is input into the optimal LSTM model, and the optimal LSTM model outputs the predicted tool wear and thermal deformation, and performs discrimination processing on the tool wear and thermal deformation: if the tool wear is less than the preset tool wear threshold, and the thermal deformation is less than the preset thermal deformation threshold, a processing signal is generated; if the tool wear is greater than or equal to the preset tool wear threshold, or the thermal deformation is greater than or equal to the preset thermal deformation threshold, an alarm signal is generated, and the alarm response module is used to respond to the processing signal or alarm signal, and immediately perform the preset warning operation corresponding to the processing signal or alarm signal, so as to timely understand the operation status of the tool, and then automatically adjust the control parameters according to the prediction results, such as automatically correcting the feed speed before the tool wear reaches the critical value, effectively reducing the processing error caused by tool wear and thermal deformation, and improving the processing accuracy and product quality;

[0064] When an alarm signal is generated: the cooling information of the tool within the time threshold is obtained, the cooling information includes the coolant flow rate and the total amount of coolant per unit time, and the coolant flow rate and the total amount of coolant per unit time are judged and processed. If the coolant flow rate is less than the preset coolant flow rate threshold, or the total amount of coolant per unit time is less than the preset coolant total amount threshold per unit time, a cooling management signal is generated. If the coolant flow rate is greater than or equal to the preset coolant flow rate threshold, and the total amount of coolant per unit time is greater than or equal to the preset coolant total amount threshold per unit time, a cooling routine signal is generated. The alarm response module is used to respond to the cooling management signal or the cooling routine signal, and immediately display the preset warning text corresponding to the cooling management signal or the cooling routine signal, so as to understand whether the tool abnormality is caused by the coolant abnormality, and then perform targeted management of the coolant to improve the control safety of the tool, and at the same time help to improve the operation control effect of the tool;

[0065] Among them, the processor is connected to the control condition evaluation module and the control planning module in a one-way communication manner, the control condition evaluation module is connected to the tool control module in a two-way communication manner, the control condition evaluation module is connected to the interference positioning module in a one-way communication manner, and the control planning module and the interference positioning module are both connected to the alarm response module in a one-way communication manner;

[0066] To sum up, the present invention initially analyzes from the perspective of the control trajectory of the tool seat 9 so as to realize the position adjustment of the tool seat 9 quickly, safely and with low consumption, and further analyzes from the perspective of the control quality of the tool seat 9 to understand the overall state and accuracy of the tool seat 9 during the regulation process, so as to carry out targeted management of the regulation transmission and drive of the tool seat 9 to ensure the stability and accuracy of the position control, and analyzes from the perspective of the movement and drive equipment state through information feedback to determine whether the low regulation accuracy is caused by the drive abnormality, which helps to quickly lock the abnormal movement interference factors of the abnormal center point, so as to carry out targeted and rational management and improve the overall operation and maintenance management efficiency. At the same time, it analyzes from the perspective of tool control risk so as to timely understand the operation status of the tool, and then automatically adjust the control parameters according to the prediction results, effectively reduce the processing errors caused by tool wear and thermal deformation, and improve the processing accuracy. At the same time, it understands whether the tool abnormality is caused by the coolant abnormality, and then carries out targeted management of the coolant to improve the control safety of the tool.

[0067] The threshold is set for result comparison and analysis to determine whether it is good or bad. The value of the threshold is set based on a combination of large-scale model analysis of sample data and manual experience to enter and store data. It can also be appropriately adjusted based on seasonal or common sense influencing conditions.

[0068] The size of the coefficient is to quantify each parameter to obtain a specific numerical value, which is convenient for subsequent comparison. The size of the coefficient depends on the amount of sample data and the preliminary setting of the corresponding operating coefficient for each set of sample data by technical personnel in this field; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0069] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. A power tool intelligent position control mechanism, comprising a longitudinal axis base (1), characterized in that: The upper surface of the longitudinal axis base (1) is internally connected to a guide slide (2), the upper surface of the guide slide (2) is fixedly connected to a fixed column (3), the upper surface of the fixed column (3) is fixedly connected to a transverse axis base (4), the transverse axis base (4) is internally connected to a movable slide (5), one side of the transverse axis base (4) is fixedly connected to a driving member (7), the side of the movable slide (5) away from the driving member (7) is fixedly connected to a vertical axis frame (6), the lower end of the vertical axis frame (6) is externally fixedly connected to an electric moving platform (8), and the side of the electric moving platform (8) away from the vertical axis frame (6) is fixedly connected to a tool seat (9).

2. A power tool intelligent position control mechanism according to claim 1, characterized in that: It also includes a processor, which is used to retrieve the control information of the tool holder (9) and send the control information to the control planning module for control division and matching feedback analysis to obtain a preferred route; The processor is used to retrieve the control data of the tool holder (9), and send the control data to the control condition evaluation module to perform position control condition evaluation feedback analysis, and perform discrimination processing on the obtained dynamic control fit and potential interference defect value to obtain a stable signal or a risk signal; When a risk signal is generated, the interference positioning module is used to perform movement deviation and defect positioning feedback analysis on the starting and ending coordinates of the collected target center point to obtain the standard center point and abnormal center point; When a stable signal is generated, the tool control module is used to perform tool control risk prediction feedback analysis on multiple sets of machining and cutting information of the collected tools, perform discrimination processing on the obtained tool wear and thermal deformation, and obtain a machining signal or an alarm signal.

3. A power tool intelligent position control mechanism according to claim 2, characterized in that: The control division and matching feedback analysis process is as follows: The operation time period of the tool holder (9) is collected, and the operation time period of the tool holder (9) is set as a time threshold, and control information of the tool holder (9) within the time threshold is obtained, the control information including initial coordinates and target coordinates, and a movement planning route of the tool holder (9) is generated based on the initial coordinates and the target coordinates; The running path distance of each mobile planning route is obtained and the running path distance is judged. If the running path distance is less than the preset running path distance threshold, the corresponding mobile planning route is judged to be a feasible route. If the running path distance is greater than or equal to the preset running path distance threshold, the corresponding mobile planning route is judged to be an infeasible route.

4. The power tool intelligent position control mechanism according to claim 3, characterized in that: Obtain the safety value of each feasible route, which represents the minimum straight-line distance between the control mechanism and the obstacle in the feasible route, and set the feasible route corresponding to the safety value greater than or equal to the preset safety value threshold as the safe route; The movement parameters of each safe route are obtained, including energy consumption value and movement duration. The product of the energy consumption value and the movement duration after data normalization is set as the equivalent feasible coefficient. The minimum value of the equivalent feasible coefficient is obtained, and the safe route corresponding to the minimum value of the equivalent feasible coefficient is set as the preferred route.

5. The power tool intelligent position control mechanism according to claim 2, characterized in that: The position control condition evaluation feedback analysis process is as follows: obtaining control data of the tool holder (9) within a time threshold, the control data including dynamic control fit and potential interference defect value; The dynamic control fit degree represents the average value of the time between the moment when the control instruction of the tool holder (9) is generated and the moment when the tool holder (9) starts to execute the control instruction; The dynamic control fit and potential interference defect value are discriminated and processed: if the dynamic control fit is equal to zero and the potential interference defect value is equal to zero, a stable signal is generated; if the dynamic control fit is not equal to zero or the potential interference defect value is not equal to zero, a risk signal is generated.

6. The power tool intelligent position control mechanism according to claim 5, characterized in that: The potential interference defect value indicates the number of drive devices in the horizontal, vertical, and vertical directions whose operating health scores are lower than the preset operating health score thresholds. The analysis process of the operating health score is as follows: the operating data of each drive device is input into the existing preset operating health score model to obtain the output operating health score. The operating data includes operating temperature and operating voltage.

7. The power tool intelligent position control mechanism according to claim 2, characterized in that: The movement deviation and defect location feedback analysis process is as follows: Obtain the center points of the guide slide (2), the transverse axis base (4) and the electric movable platform (8), and refer to the center points of the guide slide (2), the transverse axis base (4) and the electric movable platform (8) as target center points Mi, and set the target center points as i, i = 1, 2, 3; The starting coordinates and ending coordinates of each target center point Mi are obtained, and the actual moving distance Ti of each target center point Mi is obtained based on the starting coordinates and the ending coordinates, and the actual moving distance Ti is judged. If the actual moving distance Ti is equal to the preset actual moving distance threshold, the corresponding target center point is judged to be a standard center point. If the actual moving distance Ti is not equal to the preset actual moving distance threshold, the corresponding target center point is judged to be an abnormal center point.

8. The power tool intelligent position control mechanism according to claim 7, characterized in that: When the abnormal center point is obtained, the operating health score of the driving equipment corresponding to the abnormal center point is obtained, and the operating health score is judged and processed. If the operating health score is less than the preset operating health score threshold, a fault interference signal is generated. If the operating health score is greater than or equal to the preset operating health score threshold, other interference signals are generated.

9. The power tool intelligent position control mechanism according to claim 2, characterized in that: The tool control risk prediction feedback analysis process is as follows: Acquiring multiple sets of machining and cutting information of a tool on a tool holder (9) within a time threshold, the machining and cutting information including wear amount, thermal deformation amount, and cutting speed; The collected machining and cutting information is preprocessed by denoising and normalization. The preprocessed machining and cutting information is divided into a training set and a test set. The training set is used to train the LSTM model, and finally the optimal LSTM model is obtained.

10. The power tool intelligent position control mechanism according to claim 9, characterized in that: The real-time collected machining and cutting information is input into the optimal LSTM model, which outputs the predicted tool wear and thermal deformation, and performs discrimination processing on the tool wear and thermal deformation: if the tool wear is less than the preset tool wear threshold, and the thermal deformation is less than the preset thermal deformation threshold, a machining signal is generated; if the tool wear is greater than or equal to the preset tool wear threshold, or the thermal deformation is greater than or equal to the preset thermal deformation threshold, an alarm signal is generated; When an alarm signal is generated: the cooling information of the tool within the time threshold is obtained, the cooling information includes the coolant flow rate and the total amount of coolant per unit time, and the coolant flow rate and the total amount of coolant per unit time are judged and processed. If the coolant flow rate is less than the preset coolant flow rate threshold, or the total amount of coolant per unit time is less than the preset coolant total amount per unit time threshold, a cooling management signal is generated; if the coolant flow rate is greater than or equal to the preset coolant flow rate threshold, and the total amount of coolant per unit time is greater than or equal to the preset coolant total amount per unit time threshold, a cooling routine signal is generated.

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