An adaptive processing method, apparatus, equipment, and readable storage medium for a back-bolt machine.

Abstract

This invention provides an adaptive machining method, apparatus, device, and readable storage medium for a back-mounted sewing machine. First, when a signal indicating the tool is properly clamped is detected by a first detection device, a second detection device is activated to collect no-load data information of the spindle. This data information includes no-load vibration data, no-load machining force, no-load current, and no-load noise. Next, the data information is compared with a preset tool wear model to generate real-time tool wear information. Finally, if the real-time wear information is determined to be within a preset wear safety value, the tool feed rate is adjusted based on the real-time wear information. This solves the problem of the inability to adaptively adjust the tool during real-time machining on a back-mounted sewing machine.

Description

Technical Field

[0001] This invention relates to the field of automation, and in particular to an adaptive processing method, apparatus, equipment, and readable storage medium for a back-locking machine. Background Technology

[0002] In back-bolt machining, back bolts are widely used in the building materials and decoration industry, such as stone. The main principle is to drill holes in the back of stone or other material slabs and lock them in with back bolts to ensure the slabs are securely fixed to the wall frame. The cutting tool plays a crucial role in the machining process; its function is to transmit power to the workpiece to remove material. In traditional back-bolt machining, tool wear detection is usually done offline or without any detection methods. This leads to the problem of not being able to detect tool wear in real time, specifically including the following issues: Human observation is subject to lag and has a certain degree of subjectivity; Offline or post-processing inspections cannot detect wear and deformation that occur during the manufacturing process in real time, leading to wear accumulation and potentially causing major accidents. Replacing a broken tool will reduce machining efficiency and may damage the current workpiece.

[0003] In view of the above, this application is hereby submitted. Summary of the Invention

[0004] This invention discloses an adaptive machining method, apparatus, equipment, and readable storage medium for a back-bolt machine, aiming to solve the problem that the cutting tool cannot be adaptively adjusted during real-time machining of the back-bolt machine.

[0005] The first embodiment of the present invention provides an adaptive processing method for a back-bolt machine, comprising: When the first detection device detects a signal that the tool is in place, the second detection device is activated to collect data on the spindle under no-load conditions. This data includes no-load vibration data, no-load machining force, no-load current, and no-load noise. The data information is compared with a preset tool wear model to generate real-time tool wear information; When it is determined that the real-time wear information is within the preset wear safety value, the feed rate of the tool is adjusted according to the real-time wear information.

[0006] Preferably, it further includes: After detecting that the tool has been replaced, the tool is processed using the 50% wear processing parameters in the preset tool wear model. The wear calibration of the newly replaced tool is completed by comparing the real-time spindle no-load data with the parameters.

[0007] Preferably, it further includes: By comparing the data information with a preset tool wear model and dividing the data information in the tool wear model into N levels, when the real-time detected data information exceeds the previous level but does not exceed the maximum safety value, the feed rate during machining is adjusted according to the level.

[0008] Preferably, it further includes: When the tool is detected to be running and the data exceeds the maximum safety value, the current machining hole position is abandoned and the operation is stopped.

[0009] Preferably, it further includes: When the tool is detected to be running and the data information exceeds the current gear, the original feed rate is maintained until the current hole is completed, and the feed rate is adjusted only when the data information drops to the no-load state.

[0010] The second embodiment of the present invention provides an adaptive processing device for a back-bolt machine, comprising: The data acquisition unit is used to activate the second detection device to acquire no-load data information of the spindle when the signal of tool clamping in place is detected by the first detection device. The data information includes no-load vibration data, no-load machining force, no-load current, and no-load noise. A real-time wear information acquisition unit is used to compare the data information with a preset tool wear model to generate real-time wear information of the tool; The feed rate adjustment unit is used to adjust the feed rate of the tool according to the real-time wear information when it is determined that the real-time wear information is within a preset wear safety value.

[0011] The third embodiment of the present invention provides an adaptive processing device for a back-locking machine, characterized in that it includes a memory and a processor, wherein the memory stores a computer program, and the computer program can be executed by the processor to implement an adaptive processing method for a back-locking machine as described in any of the above claims.

[0012] The fourth embodiment of the present invention provides a computer-readable storage medium, characterized in that it stores a computer program, which can be executed by a processor of the device in which the computer-readable storage medium is located, to implement an adaptive processing method for a back-locking machine as described in any of the above claims.

[0013] Based on the adaptive machining method, apparatus, equipment, and readable storage medium of the back-mounted machine provided by this invention, when a signal indicating that the tool is in place is detected by a first detection device, a second detection device is activated to collect spindle no-load data, including no-load vibration data, no-load machining force, no-load current, and no-load noise. Then, the data is compared with a preset tool wear model to generate real-time tool wear information. Finally, when the real-time wear information is determined to be within a preset wear safety value, the tool feed rate is adjusted according to the real-time wear information. This solves the problem of the inability to adaptively adjust the tool during real-time machining on a back-mounted machine. Attached Figure Description

[0014] Figure 1 This is a flowchart illustrating an adaptive processing method for a back-bolting machine provided in the first embodiment of the present invention; Figure 2 This is a schematic diagram of a module of an adaptive processing device for a back-bolting machine provided in the second embodiment of the present invention. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0016] To better understand the technical solution of the present invention, the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0017] It should be understood that the described embodiments are merely some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0018] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “a,” “the,” and “the” as used in the embodiments of this invention and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.

[0019] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0020] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0021] The terms "first" and "second" used in the embodiments are merely to distinguish similar objects and do not represent a specific ordering of objects. It is understood that "first" and "second" can be interchanged in a specific order or sequence where permissible. It should be understood that the objects distinguished by "first" and "second" can be interchanged where appropriate so that the embodiments described herein can be implemented in orders other than those illustrated or described herein.

[0022] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0023] This invention discloses an adaptive machining method, apparatus, equipment, and readable storage medium for a back-bolt machine, aiming to solve the problem that the cutting tool cannot be adaptively adjusted during real-time machining of the back-bolt machine.

[0024] Please see Figure 1 The first embodiment of the present invention provides an adaptive processing method for a back-bolt machine, which can be executed by an adaptive processing device, specifically by one or more processors within the adaptive processing device, to at least implement the following steps: S101, when the signal that the tool is in place is detected by the first detection device, the second detection device is activated to collect the spindle no-load data information, including no-load vibration data, no-load machining force, no-load current, and no-load noise; The inventors discovered that traditional tool wear assessment for bolt-action machines typically involves manual judgment and replacement after machining becomes impossible or the tool breaks. Tool wear detection is performed when machining is stopped. However, detection during shutdown cannot monitor wear changes occurring in real time during operation.

[0025] In this embodiment, after the first detection device detects the signal that the tool is clamped in place, the second detection device is immediately activated to collect data information on the spindle under no-load conditions. This allows for real-time monitoring of data such as tool vibration, machining force, current, and noise under no-load conditions, providing a reliable data foundation for real-time monitoring of tool wear. The collected data information includes multiple aspects such as no-load vibration, machining force, current, and noise, providing a comprehensive understanding of the tool's working condition under no-load conditions from multiple perspectives, and providing sufficient data support for subsequent wear analysis and adjustments. By analyzing the no-load data information, machining parameters such as the tool's feed rate can be optimized and adjusted for different situations to ensure the tool's optimal working state during machining, thereby improving machining efficiency and quality. By monitoring the tool's working status in real time, abnormal tool conditions, such as excessive wear or other problems, can be detected in a timely manner, allowing for appropriate measures to be taken to avoid potential safety risks.

[0026] S102, compare the data information with the preset tool wear model to generate real-time tool wear information; By comparing collected data (including no-load vibration, machining force, current, and noise) with a preset tool wear model, real-time tool wear information can be generated. Tool wear can be monitored in real-time during machining, eliminating the need for offline or post-processing inspections. Based on this real-time wear information, machining parameters such as the tool feed rate can be adjusted promptly to ensure optimal tool performance. This avoids excessive wear or other problems, improving machining efficiency and quality. Real-time monitoring of tool wear prevents breakage or other damage caused by excessive wear, extending tool life and reducing replacement and maintenance costs. Furthermore, real-time monitoring allows for the timely detection of tool anomalies, such as excessive wear or other issues, enabling appropriate measures to be taken and preventing potential safety risks.

[0027] S103, when it is determined that the real-time wear information is within the preset wear safety value, the feed rate of the tool is adjusted according to the real-time wear information.

[0028] It's important to note that by determining whether real-time wear information is within the preset safety wear value, it's possible to promptly identify whether the tool's wear condition meets safety standards. If it's within the safety range, the tool's feed rate can be dynamically adjusted based on the real-time wear information. Adjusting the tool's feed rate according to real-time wear information ensures that the tool operates in its optimal working condition. This improves machining efficiency and guarantees machining quality. By adjusting the tool's feed rate in real time, prolonged operation under high wear conditions can be avoided, thereby slowing down the tool's wear rate and extending its service life. Ensuring that the tool's wear condition is within the safe range reduces the risk of tool breakage or other unexpected situations caused by excessive wear, thus improving the safety of the machining process.

[0029] In one possible embodiment of the present invention, it further includes: After detecting that the tool has been replaced, the tool is processed using the 50% wear processing parameters in the preset tool wear model. The wear calibration of the newly replaced tool is completed by comparing the real-time spindle no-load data with the parameters.

[0030] It should be noted that after tool replacement is detected, machining is performed using 50% wear machining parameters from a preset tool wear model. Simultaneously, by comparing real-time spindle no-load data with the preset model, the wear calibration of the newly replaced tool can be completed instantly. This means that the wear condition of the new tool can be calibrated in real-time during machining without waiting for offline detection. Real-time wear calibration of the new tool provides accurate wear assessment, allowing understanding of its wear state at the beginning of tool use, providing a strong basis for parameter adjustments in subsequent machining processes. Based on the real-time wear calibration results of the new tool, machining parameters such as the tool feed rate can be adjusted promptly to ensure the tool's optimal working condition during machining, thereby improving machining efficiency and ensuring machining quality. Real-time wear calibration of the new tool allows for appropriate parameter adjustments at the beginning of tool use, slowing down the tool wear rate and extending its service life.

[0031] In one possible embodiment of the present invention, it further includes: By comparing the data information with a preset tool wear model and dividing the data information in the tool wear model into N levels, when the real-time detected data information exceeds the previous level but does not exceed the maximum safety value, the feed rate during machining is adjusted according to the level.

[0032] It should be noted that by comparing the collected data with a preset tool wear model, the data in the wear model is divided into N levels. When the real-time detected data exceeds the previous level but does not exceed the maximum safety value, the feed rate during machining can be adjusted immediately according to the corresponding level. Based on the real-time detected wear data, the tool wear state can be dynamically divided into different levels, thereby adjusting the machining parameters accordingly to ensure that the tool remains in optimal condition during machining, improving machining efficiency and quality. By classifying levels and adjusting the corresponding feed rate based on the real-time detected data, the tool can be prevented from operating in a high-wear state, thereby reducing the wear rate and extending the tool's service life. Adjusting the feed rate in real time according to the wear condition ensures that the tool operates within a safe range, reducing tool breakage or other safety issues caused by excessive wear, and improving the safety of the machining process.

[0033] In one possible embodiment of the present invention, it further includes: When the tool is detected to be running and the data exceeds the maximum safety value, the current machining hole position is abandoned and the operation is stopped.

[0034] It should be noted that by monitoring the tool's working status and data in real time, immediate measures are taken when the tool is detected to be running and the data exceeds the maximum safety value. In the event of an anomaly, the system can react quickly, ensuring the safety of the machining process. Timely abandonment of the current machining position and cessation of operation effectively avoids potential hazards caused by excessive tool wear or other reasons, reducing the likelihood of accidents. Stopping operation prevents the tool from continuing to machine in an abnormal state, thus protecting the integrity and quality of the current workpiece. Timely cessation of operation avoids potentially dangerous situations that could result from continued work, improving the safety of the operation process and protecting the safety of operators and equipment.

[0035] In one possible embodiment of the present invention, it further includes: When the tool is detected to be running and the data information exceeds the current gear, the original feed rate is maintained until the current hole is completed, and the feed rate is adjusted only when the data information drops to the no-load state.

[0036] It should be noted that when the tool is detected to be running and the data information exceeds the current gear, the original feed rate is maintained, ensuring the continuity and stability of the machining process. By maintaining the original feed rate until the current hole is machined, the decrease in machining efficiency caused by frequent feed rate adjustments can be avoided, thereby improving machining efficiency. Adjusting the feed rate only after the data information drops to an idle state reduces the number of frequent feed rate changes during machining, ensuring machining stability and quality. Maintaining the original feed rate avoids machining errors that may be caused by frequent rate adjustments, thus protecting the integrity and quality of the current workpiece.

[0037] Please see Figure 2 The second embodiment of the present invention provides an adaptive processing device for a back-bolt machine, comprising: The acquisition unit 201 is used to activate the second detection device to acquire spindle no-load data information when the first detection device detects a signal that the tool is clamped in place. The data information includes no-load vibration data, no-load machining force, no-load current, and no-load noise. The real-time wear information acquisition unit 202 is used to compare the data information with a preset tool wear model to generate real-time wear information of the tool; The feed rate adjustment unit 203 is used to adjust the feed rate of the tool according to the real-time wear information when it is determined that the real-time wear information is within a preset wear safety value.

[0038] The third embodiment of the present invention provides an adaptive processing device for a back-locking machine, characterized in that it includes a memory and a processor, wherein the memory stores a computer program, and the computer program can be executed by the processor to implement an adaptive processing method for a back-locking machine as described in any of the above claims.

[0039] The fourth embodiment of the present invention provides a computer-readable storage medium, characterized in that it stores a computer program, which can be executed by a processor of the device in which the computer-readable storage medium is located, to implement an adaptive processing method for a back-locking machine as described in any of the above claims.

[0040] Based on the adaptive machining method, apparatus, equipment, and readable storage medium of the back-mounted machine provided by this invention, when a signal indicating that the tool is in place is detected by a first detection device, a second detection device is activated to collect spindle no-load data, including no-load vibration data, no-load machining force, no-load current, and no-load noise. Then, the data is compared with a preset tool wear model to generate real-time tool wear information. Finally, when the real-time wear information is determined to be within a preset wear safety value, the tool feed rate is adjusted according to the real-time wear information. This solves the problem of the inability to adaptively adjust the tool during real-time machining on a back-mounted machine.

[0041] Exemplary examples show that the computer program described in the third and fourth embodiments of the present invention can be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules can be a series of computer program instruction segments capable of performing specific functions, which describe the execution process of the computer program in the adaptive processing equipment implementing a back-bolt machine. For example, the apparatus described in the second embodiment of the present invention.

[0042] The processor referred to can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the adaptive machining method for the back bolt machine, connecting various parts of the adaptive machining method for the back bolt machine using various interfaces and lines.

[0043] The memory can be used to store the computer program and / or modules. The processor, by running or executing the computer program and / or modules stored in the memory, and by calling the data stored in the memory, implements various functions of an adaptive processing method for a back-mounted machine. The memory may mainly include a program storage area and a data storage area. The program storage area may store the operating system, at least one application program required for a function (such as sound playback function, text conversion function, etc.), etc.; the data storage area may store data created based on the use of the mobile phone (such as audio data, text message data, etc.). In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart media card (SMC), secure digital card (SD card), flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0044] If the implemented module is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above embodiments of the present invention can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying the computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electrical carrier signals and telecommunication signals.

[0045] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Furthermore, in the accompanying drawings of the device embodiments provided by this invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those skilled in the art can understand and implement this without any creative effort.

[0046] The above description is merely a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method of adaptive processing of a backtaper machine, characterized by ,include: When the first detection device detects a signal that the tool is in place, the second detection device is activated to collect data on the spindle under no-load conditions. This data includes no-load vibration data, no-load machining force, no-load current, and no-load noise. The data information is compared with a preset tool wear model to generate real-time tool wear information; When it is determined that the real-time wear information is within the preset wear safety value, the feed rate of the tool is adjusted according to the real-time wear information; After detecting a tool replacement, machining is performed using 50% wear processing parameters from the preset tool wear model. The wear calibration of the newly replaced tool is completed by comparing the real-time spindle no-load data with the preset tool wear model. The data is then compared with the preset tool wear model, and the data in the tool wear model is divided into N levels. When the real-time detected data exceeds the previous level but does not exceed the maximum safety value, the feed rate during machining is adjusted according to the level.

2. The method of claim 1, wherein It also includes: When the tool is detected to be running and the data exceeds the maximum safety value, the current machining hole position is abandoned and the operation is stopped.

3. The method of claim 1, wherein It also includes: When the tool is detected to be running and the data information exceeds the current gear, the original feed rate is maintained until the current hole is completed, and the feed rate is adjusted only when the data information drops to the no-load state.

4. An adaptive processing device for a back taping machine, characterized in that ,include: The data acquisition unit is used to activate the second detection device to acquire no-load data information of the spindle when the signal of tool clamping in place is detected by the first detection device. The data information includes no-load vibration data, no-load machining force, no-load current, and no-load noise. A real-time wear information acquisition unit is used to compare the data information with a preset tool wear model to generate real-time wear information of the tool; The feed rate adjustment unit is used to adjust the feed rate of the tool according to the real-time wear information when it is determined that the real-time wear information is within the preset wear safety value; After detecting that the tool has been replaced, the adjustment unit performs machining using the 50% wear machining parameters in the preset tool wear model, and judges the wear of the newly replaced tool by comparing the real-time spindle no-load data with the preset tool wear model.

5. An adaptive processing device for a back-bolt machine, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program that can be executed by the processor to implement an adaptive processing method for a back-locking machine as described in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, The device contains a computer program that can be executed by a processor of the device on which the computer-readable storage medium is located, to implement an adaptive processing method for a back-bolting machine as described in any one of claims 1 to 3.

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