A tool state monitoring method, system and electronic equipment applied to an automatic cutting bed

Abstract

The application provides a cutter state monitoring method, system and electronic equipment applied to an automatic cutting bed. The method comprises the following steps: acquiring an interval running duration T1 of a target cutter; judging whether the interval running duration T1 is in an interval running duration range [Tmin, Tmax], if T1 < Tmin, a first cutter state monitoring mode is kept to be executed in the present cutting operation, if T1 > Tmax, judging whether a time interval T3 is not less than a cutter maintenance duration, if yes, a cutter maintenance operation is controlled to be executed, if no, a second cutter state monitoring mode is first executed in the present cutting operation and the first cutter state monitoring mode is executed when a trigger condition is met. The system comprises functional modules corresponding to the above steps. The electronic equipment: when a processor executes a computer program stored in a memory, the method is realized. According to the application, the problem that the existing cutting bed cutter state monitoring method based on feature parameter detection is not applicable to cloth cutting bed cutters can be solved.

Description

Technical Field

[0001] This invention belongs to the field of cutting bed tool condition monitoring, and more specifically, relates to a tool condition monitoring method, system and electronic equipment applied to automatic cutting beds. Background Technology

[0002] During fabric cutting operations on an automatic cutting machine, the condition of the cutting blades has a crucial impact on the quality of the cut fabric. If the cutting blades are in an abnormal state, such as being broken, worn, or chipped, the scrap rate of the cut pieces will increase significantly. This not only wastes the original fabric but also severely reduces the overall efficiency of the fabric cutting operation. Therefore, real-time monitoring of the cutting blade condition is essential during fabric cutting operations on an automatic cutting machine.

[0003] Existing methods for monitoring the condition of cutting bed cutters primarily rely on various sensors. Their working principle involves sensors collecting characteristic parameters reflecting the cutter's condition in real time during the cutting process, such as the sound and vibration emitted by the cutter. These collected parameters are then compared with pre-acquired parameters indicating the cutter is in a normal state. If the comparison results are inconsistent, it indicates an abnormal cutter condition, triggering an alert. However, since fabric cutting bed cutters handle relatively soft fabrics, the probability of a cutter transitioning from a normal state to an abnormal state such as damage, wear, or chipping is relatively low. Typically, a single cutting bed cutter can be used for a considerable period. The aforementioned methods require real-time collection of these characteristic parameters, resulting in massive data acquisition and processing, which is clearly uneconomical. Therefore, these methods represent an excessive approach and are more suitable for monitoring the condition of cutters used in metal cutting beds. Summary of the Invention

[0004] The purpose of this invention is to solve the problem that existing methods for monitoring the status of cutting bed tools based on feature parameter detection are not applicable to fabric cutting bed tools.

[0005] To achieve the above objectives, the present invention provides a method, system, and electronic device for monitoring the status of cutting tools in an automatic cutting machine.

[0006] According to a first aspect of the present invention, a method for monitoring the condition of cutting tools applied to an automatic cutting machine is provided, the method comprising the following steps:

[0007] Before the target tool performs the first cutting task in this cutting operation, obtain the interval running time T1 of the target tool, where T1 is the time interval between the current time and the end time of the last cutting operation.

[0008] Determine whether T1 is within the predetermined interval runtime range [Tmin, Tmax]. If T1 < Tmin, then maintain the first tool status monitoring mode in this cutting operation.

[0009] If T1 > Tmax, then determine whether the time interval T3 between the current time and the start time of the first trimming task is not less than the tool maintenance time. If it is not less, then control the execution of the tool maintenance operation.

[0010] If it is less than, the second tool status monitoring mode will be executed first in this cutting operation;

[0011] The second tool status monitoring mode is as follows: real-time detection of the current duration T2 of the current cutting operation and the number of cutting tasks completed M1. If T2 is greater than the predetermined operation duration threshold or M1 is greater than the predetermined number of cutting tasks completed threshold, then the first tool status monitoring mode is switched to be executed.

[0012] The first tool status monitoring mode is as follows: after the current cutting task is completed, it is determined whether the target tool has traversed all nodes on the predetermined cutting path. If not, an external warning is issued.

[0013] Alternatively, if Tmin≤T1≤Tmax, the second tool status monitoring mode will be executed first in this cutting operation.

[0014] Alternatively, after controlling and executing the tool maintenance operation, no tool status monitoring mode is executed during this cutting operation.

[0015] Optionally, after the current trimming task is completed, determining whether the target tool has traversed all nodes on the predetermined trimming path includes:

[0016] Discretize the cutting path of the target tool into multiple nodes;

[0017] During the current cutting task performed by the target tool, the nodes traversed by the target tool are marked as visited;

[0018] After the current trimming task is completed, for the multiple nodes, the process is performed one by one from the end node to the starting node. If the currently judged node is not marked as visited, the judgment operation is stopped and an external warning is issued.

[0019] According to a second aspect of the present invention, a tool condition monitoring system for an automatic cutting machine is provided, the system comprising the following functional modules:

[0020] The interval runtime acquisition module is used to acquire the interval runtime T1 of the target tool before the target tool performs the first cutting task in this cutting operation. T1 is the time interval between the current time and the end time of the last cutting operation.

[0021] The tool status monitoring module is used to determine whether T1 is within the predetermined interval running time range [Tmin, Tmax]. If T1 < Tmin, then the first tool status monitoring mode will continue to be executed in this cutting operation.

[0022] If T1 > Tmax, then determine whether the time interval T3 between the current time and the start time of the first trimming task is not less than the tool maintenance time. If it is not less, then control the execution of the tool maintenance operation.

[0023] If it is less than, the second tool status monitoring mode will be executed first in this cutting operation;

[0024] The second tool status monitoring mode is as follows: real-time detection of the current duration T2 of the current cutting operation and the number of cutting tasks completed M1. If T2 is greater than the predetermined operation duration threshold or M1 is greater than the predetermined number of cutting tasks completed threshold, then the first tool status monitoring mode is switched to be executed.

[0025] The first tool status monitoring mode is as follows: after the current cutting task is completed, it is determined whether the target tool has traversed all nodes on the predetermined cutting path. If not, an external warning is issued.

[0026] According to a third aspect of the present invention, an electronic device is provided, comprising a processor and a memory, wherein the processor executes a computer program stored in the memory to implement any of the above-described methods for monitoring the status of cutting tools applied to an automatic cutting bed.

[0027] The beneficial effects of this invention are as follows:

[0028] The tool status monitoring method of this invention, applied to an automatic cutting machine, acquires the interval runtime T1 of the target tool before the target tool performs its first cutting task in the current cutting operation. If T1 < Tmin, it indicates that the interval runtime of the target tool is too short, and the cutting operation is too frequent. In this case, the probability of wear and breakage of the target tool will increase. Therefore, the first tool status monitoring mode is maintained in the current cutting operation. If T1 > Tmax, it indicates that the interval runtime of the target tool is too long. When the target tool has not been used for a long time, its performance may decrease due to oxidation or contamination of the tool surface coating. In this case, it is first determined whether the conditions for maintaining the target tool are met. If they are met, maintenance is performed. If not, the second tool status monitoring mode is executed first in the current cutting operation, and the first tool status monitoring mode is executed when the triggering condition is met. The first tool status monitoring mode detects the actual cutting path of the target tool, and the second tool status monitoring mode monitors the current duration of the current cutting operation and the number of cutting tasks completed. These two are equivalent to the continuous running time of the tool and the number of cutting operations, respectively.

[0029] Unlike existing cutting bed tool condition monitoring methods, the tool condition monitoring method of this invention, applied to automatic cutting beds, uses the tool interval runtime, the continuous runtime of the tool in a single cutting operation, and the number of cuts as characteristic parameters reflecting the tool condition. This not only enables timely monitoring of abnormal conditions of the target tool but also better reflects the consumption patterns of fabric cutting bed tools. Therefore, the tool condition monitoring method of this invention for automatic cutting beds effectively solves the problem that existing cutting bed tool condition monitoring methods based on characteristic parameter detection are not applicable to fabric cutting bed tools.

[0030] The tool condition monitoring system and electronic device of the present invention for automatic cutting machines belong to the same general inventive concept as the tool condition monitoring method for automatic cutting machines described above, and have at least the same beneficial effects as the tool condition monitoring method for automatic cutting machines described above, the beneficial effects of which will not be repeated here.

[0031] Other features and advantages of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0032] The present invention can be better understood by referring to the following description taken in conjunction with the accompanying drawings, in which the same or similar reference numerals are used throughout the drawings to denote the same or similar parts.

[0033] Figure 1 A flowchart illustrating the implementation of a tool condition monitoring method for an automated cutting machine according to an embodiment of the present invention is shown.

[0034] Figure 2 A structural block diagram of a tool condition monitoring system for an automated cutting machine according to an embodiment of the present invention is shown. Detailed Implementation

[0035] To enable those skilled in the art to more fully understand the technical solutions of the present invention, exemplary embodiments of the present invention will be described more comprehensively and in detail below with reference to the accompanying drawings. Obviously, the one or more embodiments of the present invention described below are merely one or more specific ways to implement the technical solutions of the present invention, and are not exhaustive. It should be understood that other ways belonging to a general inventive concept can be used to implement the technical solutions of the present invention, and should not be limited to the embodiments described exemplary. Based on one or more embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0036] Example: Figure 1 A flowchart illustrating the implementation of a tool condition monitoring method for an automated cutting machine according to an embodiment of the present invention is shown. (Refer to...) Figure 1 The tool status monitoring method for automatic cutting machines according to embodiments of the present invention includes the following steps:

[0037] Before the target tool performs the first cutting task in this cutting operation, obtain the interval running time T1 of the target tool, where T1 is the time interval between the current time and the end time of the last cutting operation.

[0038] Determine whether T1 is within the predetermined interval runtime range [Tmin, Tmax]. If T1 < Tmin, then maintain the first tool status monitoring mode in this cutting operation.

[0039] If T1 > Tmax, then determine whether the time interval T3 between the current time and the start time of the first trimming task is not less than the tool maintenance time. If it is not less, then control the execution of the tool maintenance operation.

[0040] If it is less than, the second tool status monitoring mode will be executed first in this cutting operation;

[0041] The second tool status monitoring mode is as follows: real-time detection of the current duration T2 of the current cutting operation and the number of cutting tasks completed M1. If T2 is greater than the predetermined operation duration threshold or M1 is greater than the predetermined number of cutting tasks completed threshold, then the first tool status monitoring mode is switched to be executed.

[0042] The first tool status monitoring mode is as follows: after the current cutting task is completed, it is determined whether the target tool has traversed all nodes on the predetermined cutting path. If not, an external warning is issued.

[0043] Specifically, in this embodiment of the invention, a single cutting operation includes multiple cutting tasks, the specific number of which is related to the actual production plan. During the execution of a single cutting task, the target cutter will travel along a predetermined cutting path under the drive of the cutting head of the automatic cutting bed. After a single cutting operation is completed, the cutter used will be removed from the cutting head and placed into the cutter magazine, and then another cutter will be taken out for the next cutting operation.

[0044] Specifically, in this embodiment of the invention, during the execution of the second tool status monitoring mode, if T2 is not greater than the operation duration threshold and M1 is not greater than the cutting task completion number threshold, then the current duration T2 and the cutting task completion number M1 of this cutting operation are continuously detected.

[0045] Furthermore, in this embodiment of the invention, if Tmin≤T1≤Tmax, the second tool status monitoring mode is executed first in this cutting operation.

[0046] Furthermore, in this embodiment of the invention, after controlling the execution of the tool maintenance operation, no tool status monitoring mode is executed in this cutting operation.

[0047] Furthermore, in this embodiment of the invention, after the current cutting task is completed, determining whether the target tool has traversed all nodes on the predetermined cutting path includes:

[0048] Discretize the cutting path of the target tool into multiple nodes;

[0049] During the current cutting task performed by the target tool, the nodes traversed by the target tool are marked as visited;

[0050] After the current trimming task is completed, for the multiple nodes, the process is performed one by one from the end node to the starting node. If the currently judged node is not marked as visited, the judgment operation is stopped and an external warning is issued.

[0051] Accordingly, based on the tool condition monitoring method for automatic cutting machines in the embodiments of the present invention, the embodiments of the present invention also propose a tool condition monitoring system for automatic cutting machines.

[0052] Figure 2 A structural block diagram of a tool condition monitoring system applied to an automatic cutting machine according to an embodiment of the present invention is shown. (Refer to...) Figure 2 The tool condition monitoring system for automatic cutting machines according to embodiments of the present invention includes the following functional modules:

[0053] The interval runtime acquisition module is used to acquire the interval runtime T1 of the target tool before the target tool performs the first cutting task in this cutting operation. T1 is the time interval between the current time and the end time of the last cutting operation.

[0054] The tool status monitoring module is used to determine whether T1 is within the predetermined interval running time range [Tmin, Tmax]. If T1 < Tmin, then the first tool status monitoring mode will continue to be executed in this cutting operation.

[0055] If T1 > Tmax, then determine whether the time interval T3 between the current time and the start time of the first trimming task is not less than the tool maintenance time. If it is not less, then control the execution of the tool maintenance operation.

[0056] If it is less than, the second tool status monitoring mode will be executed first in this cutting operation;

[0057] The second tool status monitoring mode is as follows: real-time detection of the current duration T2 of the current cutting operation and the number of cutting tasks completed M1. If T2 is greater than the predetermined operation duration threshold or M1 is greater than the predetermined number of cutting tasks completed threshold, then the first tool status monitoring mode is switched to be executed.

[0058] The first tool status monitoring mode is as follows: after the current cutting task is completed, it is determined whether the target tool has traversed all nodes on the predetermined cutting path. If not, an external warning is issued.

[0059] Furthermore, in this embodiment of the invention, if Tmin≤T1≤Tmax, the second tool status monitoring mode is executed first in this cutting operation.

[0060] Furthermore, in this embodiment of the invention, after controlling the execution of the tool maintenance operation, no tool status monitoring mode is executed in this cutting operation.

[0061] Furthermore, in this embodiment of the invention, after the current cutting task is completed, determining whether the target tool has traversed all nodes on the predetermined cutting path includes:

[0062] Discretize the cutting path of the target tool into multiple nodes;

[0063] During the current cutting task performed by the target tool, the nodes traversed by the target tool are marked as visited;

[0064] After the current trimming task is completed, for the multiple nodes, the process is performed one by one from the end node to the starting node. If the currently judged node is not marked as visited, the judgment operation is stopped and an external warning is issued.

[0065] Accordingly, based on the tool status monitoring method for automatic cutting machines in the embodiments of the present invention, the embodiments of the present invention also propose an electronic device, which includes a processor and a memory. When the processor executes the computer program stored in the memory, it implements the tool status monitoring method for automatic cutting machines in the embodiments of the present invention.

[0066] While one or more embodiments of the present invention have been described above, those skilled in the art will recognize that the present invention can be implemented in any other form without departing from its spirit and scope. Therefore, the embodiments described above are illustrative and not restrictive, and many modifications and substitutions will be apparent to those skilled in the art without departing from the spirit and scope of the invention as defined in the appended claims.

Claims

1. A method for monitoring the condition of cutting tools applied to an automatic cutting machine, characterized in that, include: Before the target tool performs the first cutting task in this cutting operation, obtain the interval running time T1 of the target tool, where T1 is the time interval between the current time and the end time of the last cutting operation. Determine whether T1 is within the predetermined interval runtime range [Tmin, Tmax]. If T1 < Tmin, then maintain the first tool status monitoring mode in this cutting operation. If T1 > Tmax, then determine whether the time interval T3 between the current time and the start time of the first trimming task is not less than the tool maintenance time. If it is not less, then control the execution of the tool maintenance operation. If it is less than, the second tool status monitoring mode will be executed first in this cutting operation; The second tool status monitoring mode is as follows: real-time detection of the current duration T2 of the current cutting operation and the number of cutting tasks completed M1. If T2 is greater than the predetermined operation duration threshold or M1 is greater than the predetermined number of cutting tasks completed threshold, then the first tool status monitoring mode is switched to be executed. The first tool status monitoring mode is as follows: after the current cutting task is completed, it is determined whether the target tool has traversed all nodes on the predetermined cutting path. If not, an external warning is issued.

2. The tool condition monitoring method for an automatic cutting machine according to claim 1, characterized in that, If Tmin≤T1≤Tmax, then the second tool status monitoring mode will be executed first in this cutting operation.

3. The tool condition monitoring method for an automatic cutting machine according to claim 2, characterized in that, After controlling and executing the tool maintenance operation, no tool status monitoring mode will be executed during this cutting operation.

4. The tool condition monitoring method for automatic cutting machines according to claim 3, characterized in that, After the current trimming task is completed, determining whether the target tool has traversed all nodes on the predetermined trimming path includes: Discretize the cutting path of the target tool into multiple nodes; During the current cutting task performed by the target tool, the nodes traversed by the target tool are marked as visited; After the current trimming task is completed, for the multiple nodes, the process is performed one by one from the end node to the starting node. If the currently judged node is not marked as visited, the judgment operation is stopped and an external warning is issued.

5. A tool condition monitoring system for use in an automatic cutting machine, characterized in that, include: The interval runtime acquisition module is used to acquire the interval runtime T1 of the target tool before the target tool performs the first cutting task in this cutting operation. T1 is the time interval between the current time and the end time of the last cutting operation. The tool status monitoring module is used to determine whether T1 is within the predetermined interval running time range [Tmin, Tmax]. If T1 < Tmin, then the first tool status monitoring mode will continue to be executed in this cutting operation. If T1 > Tmax, then determine whether the time interval T3 between the current time and the start time of the first trimming task is not less than the tool maintenance time. If it is not less, then control the execution of the tool maintenance operation. If it is less than, the second tool status monitoring mode will be executed first in this cutting operation; The second tool status monitoring mode is as follows: real-time detection of the current duration T2 of the current cutting operation and the number of cutting tasks completed M1. If T2 is greater than the predetermined operation duration threshold or M1 is greater than the predetermined number of cutting tasks completed threshold, then the first tool status monitoring mode is switched to be executed. The first tool status monitoring mode is as follows: after the current cutting task is completed, it is determined whether the target tool has traversed all nodes on the predetermined cutting path. If not, an external warning is issued.

6. The tool condition monitoring system for an automatic cutting machine according to claim 5, characterized in that, If Tmin≤T1≤Tmax, then the second tool status monitoring mode will be executed first in this cutting operation.

7. The tool condition monitoring system for an automatic cutting machine according to claim 6, characterized in that, After controlling and executing the tool maintenance operation, no tool status monitoring mode will be executed during this cutting operation.

8. The tool condition monitoring system for an automatic cutting machine according to claim 7, characterized in that, After the current trimming task is completed, determining whether the target tool has traversed all nodes on the predetermined trimming path includes: Discretize the cutting path of the target tool into multiple nodes; During the current cutting task performed by the target tool, the nodes traversed by the target tool are marked as visited; After the current trimming task is completed, for the multiple nodes, the process is performed one by one from the end node to the starting node. If the currently judged node is not marked as visited, the judgment operation is stopped and an external warning is issued.

9. An electronic device, characterized in that, It includes a processor and a memory, wherein the processor executes a computer program stored in the memory to implement the tool status monitoring method for an automatic cutting bed as described in any one of claims 1-4.

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