CN114700802A - Method and device for detecting broken cutter - Google Patents
Method and device for detecting broken cutter Download PDFInfo
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- CN114700802A CN114700802A CN202210338752.3A CN202210338752A CN114700802A CN 114700802 A CN114700802 A CN 114700802A CN 202210338752 A CN202210338752 A CN 202210338752A CN 114700802 A CN114700802 A CN 114700802A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
- B23Q17/00—Arrangements for observing, indicating or measuring on machine tools
- B23Q17/09—Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool
- B23Q17/0952—Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool during machining
- B23Q17/0957—Detection of tool breakage
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Abstract
The embodiment of the invention discloses a method and a device for detecting broken knives. In the cutting process of a machine tool, periodically acquiring a tool identifier currently used, periodically sampling the current and the machining position of the machine tool, and respectively recording sampling data of each tool into a sampling file of the corresponding tool, wherein the sampling data comprises: machine tool current and machining position; when the cutting machining is finished, aiming at a sampling file of each cutter, determining one or more machining processes corresponding to the cutter according to each machining position in the sampling file, and respectively calculating and recording a load threshold value corresponding to each machining process of the cutter according to machine tool current sampled in each machining process of the cutter; and performing broken cutter detection on each machining process of each cutter according to the load threshold corresponding to each machining process of each cutter. The embodiment of the invention improves the efficiency and accuracy of the cutter breakage detection.
Description
Technical Field
The invention relates to the technical field of numerical control systems, in particular to a method and a device for detecting broken knives.
Background
In a metal cutting process, if an abnormal condition occurs, a tool in cutting process is damaged by impact, and a workpiece is damaged or a defective product with incomplete processing occurs. The detection of such an abnormal condition is called a knife break detection.
The existing knife-breaking detection method is manual detection. The method comprises the steps of manually selecting related signals in a tracking interface integrated by a numerical control system, manually tracking and converting the selected signals, manually judging whether the cutting process is abnormal or not according to tracking and converting results, and manually modifying related parameters according to experience if the cutting process is abnormal. The disadvantages of the above treatment method are as follows:
firstly, the whole processing process needs manual participation, so that related personnel need to comprehensively know the numerical control system, or the processing needs to be finished by referring to related documents of the numerical control system, and the efficiency is low and the labor cost is high;
secondly, due to the change of the tool, the machining process, the speed of the main shaft and the like, the load of the machine tool is greatly fluctuated, and the problem of misjudgment can exist by depending on the judgment of complex conditions such as whether the multi-process machining is carried out, whether the tool is replaced, whether the speed of the main shaft is in an acceleration and deceleration stage and the like.
Disclosure of Invention
In view of this, the embodiment of the present invention provides a method and an apparatus for detecting a broken knife, so as to improve the efficiency and accuracy of the broken knife detection;
embodiments of the present invention also provide a non-transitory computer-readable storage medium, a computer program product, and an electronic device to improve the efficiency and accuracy of the knife-break detection.
The technical scheme of the embodiment of the invention is realized as follows:
a method of detecting a knife break, the method comprising:
in the cutting process of a machine tool, periodically acquiring a tool identifier currently used, periodically sampling the current and the machining position of the machine tool, and respectively recording the sampling data of each tool into a sampling file of the corresponding tool, wherein the sampling data comprises: machine tool current and machining position;
when the cutting machining is finished, aiming at a sampling file of each cutter, determining one or more machining processes corresponding to the cutter according to each machining position in the sampling file, and respectively calculating and recording a load threshold value corresponding to each machining process of the cutter according to machine tool current sampled in each machining process of the cutter;
and performing broken cutter detection on each machining process of each cutter according to the load threshold corresponding to each machining process of each cutter.
The calculating and recording of the load threshold corresponding to each machining process of the tool includes:
the method comprises the steps of calculating an average value of all machine tool currents sampled in the machining process of the tool for each machining process of the tool, determining a weighted average value of the machine tool currents in the machining process of the tool according to the average value and the maximum value of all machine tool currents sampled in the machining process of the tool, and carrying out weighted summation on the average value and the weighted average value to obtain a load threshold value corresponding to the machining process of the tool.
The determining a weighted average of the machine current in the machining process of the tool based on the average and a maximum of all machine currents sampled in the machining process of the tool includes:
searching for a first machine current between the average value and the maximum value that satisfies the following condition: and if the ratio of the number of the searched machine tool currents to all the machine tool currents sampled in the machining process of the cutter is greater than a preset ratio, the first machine tool current is taken as the weighted average value.
The sampling data further includes: the rotation speed of the main shaft is controlled,
after the cutting process is finished and before one or more processing procedures corresponding to the cutter are determined according to the processing positions in the sampling file, the method further comprises the following steps:
and for each piece of sampling data in the sampling file, if the rotating speed of the spindle in the sampling data is not within a preset normal rotating speed range, ignoring the sampling data.
The sampling data further includes: the sampling time of each piece of sampling data;
after the sampling data of each tool is respectively recorded into the sampling file of the corresponding tool, the method further comprises the following steps:
receiving a machine tool current display request aiming at a cutter, determining a machining procedure corresponding to each piece of sampling data according to a machining position in each piece of sampling data in a sampling file of the cutter, drawing machine tool current of each piece of sampling data into a machine tool current change curve of the machining procedure according to the sampling time from the beginning to the end, and respectively displaying the machine tool current change curves of the machining procedures to a user.
After calculating and recording the load threshold corresponding to each machining process of the tool, the method further comprises the following steps:
receiving a load threshold correction value input by a user for a machining process of a cutter, and updating the recorded load threshold of the machining process of the cutter to be the sum of the load threshold and the load threshold correction value.
A knife break detection device, the device comprising:
the sampling module is used for periodically acquiring the currently used tool identifier in the cutting process of the machine tool, periodically sampling the current and the machining position of the machine tool, and respectively recording the sampling data of each tool into the sampling file of the corresponding tool, wherein the sampling data comprises: machine tool current and machining position;
the learning module is used for determining one or more machining processes corresponding to each tool according to each machining position in the sampling file aiming at the sampling file of each tool when the cutting machining is finished, and calculating and recording a load threshold corresponding to each machining process of the tool according to the machine tool current sampled in each machining process of the tool;
and the detection module is used for detecting the broken cutter of each machining procedure of each cutter according to the load threshold corresponding to each machining procedure of each cutter.
A non-transitory computer readable storage medium storing instructions that, when executed by a processor, cause the processor to perform the steps of the knife break detection method of any of the above.
A computer program product comprising a computer program or instructions which, when executed by a processor, carry out the steps of the method of blade break detection as claimed in any one of the preceding claims.
An electronic device, comprising: a processor and a memory, wherein:
the memory stores a program configured to cause the processor to perform the steps of the method of blade break detection as defined in any one of the above when executed by the processor.
According to the embodiment of the invention, the machine tool current and the machining position of each cutter are automatically sampled in the cutting process of the machine tool, the load threshold of each machining process of each cutter is automatically calculated according to the sampling data when the cutting process is finished, and then the cutter breaking detection is automatically performed according to the load threshold of each machining process of each cutter in the subsequent cutting process, so that the learning of the load threshold of each machining process of each cutter and the full-automatic processing of the cutter breaking detection are realized, the efficiency and the accuracy of the cutter breaking detection are improved, and the cost of the cutter breaking detection is reduced.
Drawings
The foregoing and other features and advantages of the invention will become more apparent to those skilled in the art to which the invention relates upon consideration of the following detailed description of a preferred embodiment of the invention with reference to the accompanying drawings, in which:
fig. 1 is a flowchart of a method for detecting a knife break according to an embodiment of the present invention;
FIG. 2 is a flowchart of a load threshold self-learning method according to an embodiment of the present invention;
FIG. 3 is an exemplary diagram of a query interface for a load threshold self-learning process provided by embodiments of the present invention;
FIG. 4 is a flowchart of a method for querying a current variation curve of a machine tool according to an embodiment of the present invention;
FIG. 5 is a diagram illustrating an example of a query interface of a machine tool current variation curve according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a broken blade detection device according to an embodiment of the present invention.
Wherein the reference numbers are as follows:
| reference numerals | Means of |
| 101～103 | Step (ii) of |
| 201～207 | Step (ii) of |
| 401～404 | Step (ii) of |
| 60 | Broken |
| 61 | |
| 62 | |
| 63 | Detection module |
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail by referring to the following examples.
Fig. 1 is a flowchart of a method for detecting a knife break according to an embodiment of the present invention, which includes the following steps:
step 101: in the cutting process of a machine tool, periodically acquiring a tool identifier currently used, periodically sampling the current and the machining position of the machine tool, and respectively recording sampling data of each tool into a sampling file of the corresponding tool, wherein the sampling data comprises: machine tool current and machining position.
In the cutting process of the machine tool, a numerical control center of the machine tool can maintain information such as a currently used cutter identifier, current machine tool current, current machining position and the like in real time, so that in the step, the currently used cutter identifier, the current machine tool current and the current machining position can be periodically acquired from the control center of the machine tool.
Here, the machining position may be expressed by an X (horizontal direction) coordinate and a Z (vertical direction) coordinate of the machining position.
Step 102: when the cutting machining is finished, aiming at the sampling file of each tool, one or more machining processes corresponding to the tool are determined according to each machining position in the sampling file, and the load threshold value corresponding to each machining process of the tool is calculated and recorded according to the machine tool current sampled in each machining process of the tool.
Each machining process corresponds to a different machining position range, and therefore the machining process can be determined according to the machining position.
Step 103: and performing tool breakage detection on each machining process of each tool according to the load threshold corresponding to each machining process of each tool.
Specifically, if the machine tool is currently using a tool a to execute a machining process X, the load threshold corresponding to the recorded machining process X of the tool a is found, the corresponding real-time load is calculated in real time according to the current machine tool current, and if the real-time load is greater than the load threshold, it is determined that the load is abnormal, and a tool breakage alarm is sent.
In the embodiment, the machine tool current and the machining position of each tool are automatically sampled in the cutting machining process of the machine tool, the load threshold of each machining process of each tool is automatically calculated according to the sampling data when the cutting machining is finished, and then the broken tool detection is automatically performed according to the load threshold of each machining process of each tool in the subsequent cutting machining process, so that the load threshold learning of each machining process of each tool and the full-automatic processing of the broken tool detection are realized, the efficiency and the accuracy of the broken tool detection are improved, and the cost of the broken tool detection is reduced.
In an alternative embodiment, in step 102, calculating and recording a load threshold corresponding to each machining process of the tool includes: the method comprises the steps of calculating the average value of all machine tool currents sampled in the machining process of the tool for each machining process of the tool, determining the weighted average value of the machine tool currents in the machining process of the tool according to the average value and the maximum value of all machine tool currents sampled in the machining process of the tool, and carrying out weighted summation on the average value and the weighted average value to obtain a load threshold value corresponding to the machining process of the tool.
In an alternative embodiment, determining a weighted average of the machine currents in the machining pass of the tool based on the average and a maximum of all machine currents sampled in the machining pass of the tool in step 102 includes: searching for a first machine current between the average and the maximum that satisfies the following condition: and if the ratio of the number of the searched machine tool currents to all the machine tool currents sampled in the machining process of the cutter is greater than a preset ratio, taking the first machine tool current as the weighted average value.
In an alternative embodiment, the load threshold is (average 150% + weighted average)/2.
In an alternative embodiment, the sampling data in step 101 further includes: the rotation speed of the main shaft is controlled,
in step 102, after the cutting process is finished and before determining one or more processing procedures corresponding to the tool according to the processing positions in the sample file, the method further includes: and for each piece of sampling data in the sampling file, if the rotating speed of the spindle in the sampling data is not within a preset normal rotating speed range, ignoring the sampling data.
In an alternative embodiment, the sampling data in step 101 further includes: the sampling time of each piece of sampling data;
in step 102, after the sampling data of each tool is respectively recorded in the sampling file of the corresponding tool, the method further includes: receiving a machine tool current display request aiming at a cutter, determining a machining procedure corresponding to each piece of sampling data according to a machining position in each piece of sampling data in a sampling file of the cutter, drawing machine tool current of each piece of sampling data into a machine tool current change curve of the machining procedure according to the sampling time from the beginning to the end, and respectively displaying the machine tool current change curves of the machining procedures to a user.
In an alternative embodiment, after calculating and recording the load threshold corresponding to each machining process of the tool in step 102, the method further includes: receiving a load threshold correction value for a machining process of a tool input by a user, and updating the recorded load threshold of the machining process of the tool to be the sum of the load threshold and the load threshold correction value.
Fig. 2 is a flowchart of a load threshold self-learning method according to an embodiment of the present invention, which includes the following specific steps:
step 201: the sampling interval and the sampling duration are preset.
The sampling interval is the time interval between two adjacent sampling periods, and the sampling duration is the duration of each sampling period.
Step 202: after the cutting machining process of the machine tool starts, according to a preset sampling interval and sampling duration, a currently used tool identification, a current machine tool current, a current spindle rotating speed, a current machining position and a current machining state are periodically acquired from a numerical control center, and the acquired machine tool current, spindle rotating speed, machining position, machining state and sampling time are stored in a sampling file of a corresponding tool.
The processing state mainly comprises: standby, running, abnormal and end states.
After the tool identification is obtained, if the tool identification is detected to be a new tool identification, a sampling file is created for the tool, the sampling file is named by the tool identification, and then the acquired sampling data of the tool are stored in the sampling file. The content of each piece of sample data includes: machine tool current, main shaft rotational speed, processing position, processing state and sampling moment still can include: sampling period cycle times, etc.
In practical application, a query interface of a load threshold self-learning process can be provided. FIG. 3 is an exemplary diagram of a query interface, and FIG. 3 is directed to an initial interface for load threshold self-learning, as can be seen in FIG. 3, the initial state is as follows:
1) the coordinates of the initial machining position are: x (horizontal direction) coordinate: 162.002mm (millimeters), Z (vertical) coordinate: -709.380;
2) the number of the current cutter (T) is 6;
3) the initial rotating speed (S) of the main shaft is 0 rpm;
4) the sampling interval is 100ms (millisecond), and the sampling duration is 1.00min (minute);
5) setting the spindle rotation speed as empty;
6) the spindle rotation speed real-time value (S: act) is empty;
7) the machine tool current real-time value (sp.act.curr) is null;
8) the maximum current history value (sp.max.curr) of the machine tool is 10.500A (ampere);
9) current sample file (DataFile): mystudyt 6;
10) the real-time current (curr. act) of the front cutter when machining the current workpiece is null;
11) max of the maximum current (curr.max) of the current tool when machining the current workpiece is empty;
12) the average current (curr. ave) of the front tool while machining the front workpiece is empty.
Step 203: when the cutting machining process is determined to be finished according to the machining state, sequentially reading the sampling file of each tool, and respectively executing the steps 204 and 207 for the sampling file of each tool:
step 204: and performing file verification on the current sampling file, reading each sampling data in the sampling file after the verification is passed, and executing the step 205 on each sampling data respectively.
The file is verified as follows: and checking whether the sampling file is empty or not, if so, checking whether the sampling file is empty or not, and/or checking whether the check code of the sampling file is correct or not, and if not, checking whether the sampling file is empty or not is not checked.
Step 205: judging whether the sampling data meet the following conditions: and if the main shaft rotating speed in the strip of sampling data is within a preset normal rotating speed range and the machining state in the strip of sampling data is running, reading the machine tool current and the machining position in the strip of sampling data, and determining a corresponding machining procedure according to the machining position.
If not, ignoring the sampling data.
Step 206: and for all the machine tool currents which are read, dividing the machine tool currents belonging to the same machining procedure into a group according to the different machining procedures.
Step 207: calculating an average value of the set of machine tool currents for each set of machine tool currents, searching for a maximum value in the set of machine tool currents, calculating a weighted average value of the set of machine tool currents according to the average value and the maximum value of the set of machine tool currents, performing weighted calculation on the average value and the weighted average value of the set of machine tool currents, and taking the obtained weighted sum as a load threshold value of the machining process of the tool.
After the load threshold self-learning process is finished, the machine tool current of each machining process of each cutter can be drawn into a machine tool current change curve and displayed to a user, so that the user can conveniently know the machine tool current change conditions of different cutters in different machining processes.
Fig. 4 is a flowchart of a method for querying a current variation curve of a machine tool according to an embodiment of the present invention, which includes the following specific steps:
step 401: and receiving a machine tool current change curve query request aiming at a tool, which is input by a user and carries the tool identification.
Step 402: and searching a sampling file of the cutter according to the cutter identification, and determining a processing procedure corresponding to each processing position according to the processing position in each sampling data in the sampling file.
Step 403: and for the sampled data belonging to the same machining process, drawing the machine tool current in each sampled data into a machine tool current change curve of the machining process from first to last according to the sampling time, wherein the horizontal axis is the sampling time, and the vertical axis is the machine tool current value.
Step 404: and respectively displaying the machine tool current change curves of the machining procedures of the tool on the interface.
Fig. 5 is an exemplary diagram of a query interface of a machine tool current variation curve, as shown in fig. 5, the currently queried tool is tool 2(T2), and the queried machining positions are: x coordinate: 162.002mm, Z coordinate: 709.380mm, the maximum current (MAX) in the current curve of the machine tool current shown at present is 0.298A, the average value of the current (AVE) is 0.174A, the number of POINTS (poits, i.e. the number of values of the machine tool current) included in the curve is 100, the scaling (Scale) of the curve is 120%, and the storage path of the sampling file corresponding to the curve is: c \ Temp \ mystudyt2.txt, the machine tool current Value (VARCURR) corresponding to the current cursor is 0.057A, the abscissa of the curve is the sampling time and is in the unit of S (seconds), and the ordinate is the machine tool current and is in the unit of A (amperes).
In practical applications, the user may modify the load threshold according to experience and the like. The specific process is as follows: receiving a load threshold correction request which is input by a user and carries a correction password, a tool identification, a machining procedure identification and a correction value, verifying whether the correction password in the request is correct, if so, searching the recorded load threshold according to the tool identification and the machining procedure identification, and modifying the recorded load threshold into a sum of the load threshold and the correction value.
The embodiment of the invention can be applied to any numerical control system such as: 828D numerical control system.
Fig. 6 is a schematic structural diagram of a broken blade detection device 60 according to an embodiment of the present invention, where the device 60 mainly includes:
the sampling module 61 is configured to, in a cutting process of a machine tool, periodically acquire a tool identifier currently in use, periodically sample a current and a machining position of the machine tool, and record sampling data of each tool in a sampling file of a corresponding tool, where the sampling data includes: machine tool current and machining position.
And a learning module 62, configured to determine, for each tool sampling file recorded by the sampling module 61 at the end of cutting machining, one or more machining processes corresponding to the tool according to each machining position in the sampling file, and calculate and record a load threshold corresponding to each machining process of the tool according to a machine tool current sampled in each machining process of the tool.
And the detection module 63 is used for detecting the cutting failure of each machining process of each cutter according to the load threshold value corresponding to each machining process of each cutter recorded by the learning module 62.
In an alternative embodiment, the learning module 62 calculates and records a load threshold corresponding to each machining process of the tool, and includes: the method comprises the steps of calculating an average value of all machine tool currents sampled in the machining process of the tool for each machining process of the tool, determining a weighted average value of the machine tool currents in the machining process of the tool according to the average value and the maximum value of all machine tool currents sampled in the machining process of the tool, and carrying out weighted summation on the average value and the weighted average value to obtain a load threshold value corresponding to the machining process of the tool.
In an alternative embodiment, the learning module 62 determines a weighted average of the machine current in the machining pass of the tool based on the average and a maximum of all machine currents sampled in the machining pass of the tool, including: searching for a first machine current between the average and the maximum that satisfies the following condition: and if the ratio of the number of the searched machine tool currents to all the machine tool currents sampled in the machining process of the cutter is greater than a preset ratio, the first machine tool current is taken as the weighted average value.
In an alternative embodiment, the load threshold is (average 150% + weighted average)/2.
In an alternative embodiment, the sampling data of the sampling module 61 further includes: the rotation speed of the main shaft is controlled,
the learning module 62 further includes, after the cutting process is finished and before determining one or more processing procedures corresponding to the tool according to the processing positions in the sample file: and for each piece of sampling data in the sampling file, if the rotating speed of the spindle in the sampling data is not within a preset normal rotating speed range, ignoring the sampling data.
In an alternative embodiment, the sampling data of the sampling module 61 further includes: the sampling time of each piece of sampling data;
after the learning module 62 records the sampling data of each tool into the sampling file of the corresponding tool, the method further includes: receiving a machine tool current display request aiming at a cutter, determining a machining procedure corresponding to each piece of sampling data according to a machining position in each piece of sampling data in a sampling file of the cutter, drawing machine tool current of each piece of sampling data into a machine tool current change curve of the machining procedure according to the sampling time from the beginning to the end, and respectively displaying the machine tool current change curves of the machining procedures to a user.
In an alternative embodiment, after the learning module 62 calculates and records the load threshold corresponding to each machining process of the tool, the method further includes: receiving a load threshold correction value for a machining process of a tool input by a user, and updating the recorded load threshold of the machining process of the tool to be the sum of the load threshold and the load threshold correction value.
Embodiments of the present invention also provide a non-transitory computer readable storage medium storing instructions that, when executed by a processor, cause the processor to perform the steps of the broken blade detection method as described in any one of the above.
An embodiment of the present invention further provides a computer program product, which includes a computer program or instructions, and when the computer program or instructions are executed by a processor, the steps of the method for detecting a knife break as described in any one of the above are implemented.
An embodiment of the present invention further provides an electronic device, including: a processor and a memory, wherein: the memory stores a program configured to, when executed by the processor, cause the processor to perform the steps of the method of blade break detection as set forth in any one of the above.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (10)
1. A method for detecting a knife break is characterized by comprising the following steps:
in the cutting process of a machine tool, periodically acquiring a tool identifier currently used, periodically sampling the current and the machining position of the machine tool, and respectively recording sampling data of each tool into a sampling file of the corresponding tool, wherein the sampling data comprises: machine tool current and machining position;
when the cutting machining is finished, aiming at a sampling file of each cutter, determining one or more machining processes corresponding to the cutter according to each machining position in the sampling file, and respectively calculating and recording a load threshold value corresponding to each machining process of the cutter according to machine tool current sampled in each machining process of the cutter;
and performing tool breakage detection on each machining process of each tool according to the load threshold corresponding to each machining process of each tool.
2. The method of claim 1, wherein calculating and recording the load threshold for each machining pass of the tool comprises:
the method comprises the steps of calculating an average value of all machine tool currents sampled in the machining process of the tool for each machining process of the tool, determining a weighted average value of the machine tool currents in the machining process of the tool according to the average value and the maximum value of all machine tool currents sampled in the machining process of the tool, and carrying out weighted summation on the average value and the weighted average value to obtain a load threshold value corresponding to the machining process of the tool.
3. The method of claim 2, wherein determining a weighted average of the machine current for the machining pass of the tool based on the average and a maximum of all machine currents sampled during the machining pass of the tool comprises:
searching for a first machine current between the average and the maximum that satisfies the following condition: and if the ratio of the number of the searched machine tool currents to all the machine tool currents sampled in the machining process of the cutter is greater than a preset ratio, the first machine tool current is taken as the weighted average value.
4. The method of claim 1, wherein sampling data further comprises: the rotation speed of the main shaft is controlled,
after the cutting process is finished and before one or more processing procedures corresponding to the cutter are determined according to the processing positions in the sampling file, the method further comprises the following steps:
and for each piece of sampling data in the sampling file, if the rotating speed of the main shaft in the sampling data is not within a preset normal rotating speed range, ignoring the sampling data.
5. The method of claim 1, wherein sampling data further comprises: the sampling time of each piece of sampling data;
after the sampling data of each tool is respectively recorded into the sampling file of the corresponding tool, the method further comprises the following steps:
receiving a machine tool current display request aiming at a cutter, determining a machining procedure corresponding to each piece of sampling data according to a machining position in each piece of sampling data in a sampling file of the cutter, drawing machine tool current of each piece of sampling data into a machine tool current change curve of the machining procedure according to the sampling time from the beginning to the end, and respectively displaying the machine tool current change curves of the machining procedures to a user.
6. The method of claim 1, wherein after calculating and recording the load threshold for each machining pass of the tool, further comprising:
receiving a load threshold correction value input by a user for a machining process of a cutter, and updating the recorded load threshold of the machining process of the cutter to be the sum of the load threshold and the load threshold correction value.
7. A knife break detection device (60), characterized in that the device (60) comprises:
the sampling module (61) is used for periodically acquiring the currently used tool identification in the cutting process of the machine tool, periodically sampling the current and the processing position of the machine tool, and respectively recording the sampling data of each tool into a sampling file of the corresponding tool, wherein the sampling data comprises: machine tool current and machining position;
the learning module (62) is used for determining one or more machining processes corresponding to each tool according to each machining position in the sampling file aiming at the sampling file of each tool when the cutting machining is finished, and calculating and recording a load threshold value corresponding to each machining process of the tool according to the machine tool current sampled in each machining process of the tool;
and the detection module (63) is used for detecting the broken cutter of each machining procedure of each cutter according to the load threshold value corresponding to each machining procedure of each cutter.
8. A non-transitory computer readable storage medium storing instructions that, when executed by a processor, cause the processor to perform the steps of the knife break detection method of any of claims 1 to 6.
9. A computer program product comprising a computer program or instructions, characterized in that the computer program or instructions, when executed by a processor, implement the steps of the method of blade break detection according to any of claims 1 to 6.
10. An electronic device, comprising: a processor and a memory, wherein:
the memory stores a program configured to cause the processor to perform the steps of the method of any of claims 1 to 6 when executed by the processor.
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