Door and window processing automatic control method and system

Abstract

The application relates to the technical field of automation control, and provides a door and window processing automation control method and system. The method comprises the following steps: acquiring force information of a processing tool of a cutting processing station in a door and window processing process when the processing tool processes a processing material; determining material difference information between the processing material and a standard material according to the force information; adjusting a processing parameter of the processing tool according to the material difference information; associating the adjusted processing parameter of the processing tool and the material difference information with a material identifier of the processing material, obtaining associated information of the processing material, and making the associated information flow with the processing material on a production line; and the associated information is used to make a downstream processing station of the cutting processing station determine a processing parameter corresponding to the downstream processing station according to the associated information. The accuracy of door and window processing automation control can be improved.

Description

Technical Field

[0001] This application relates to the field of automation control technology, and particularly to an automated control method and system for window and door processing. Background Art

[0002] In the modern window and door manufacturing field, automated production lines are the key to improving efficiency and product quality. However, traditional equipment control methods often rely too much on manual experience to adjust processing parameters, which not only limits the further improvement of production efficiency but also makes it difficult to fully guarantee the batch consistency of products. Especially when facing increasingly complex process requirements, the existing technology is unable to achieve intelligent coordinated control between multiple processes.

[0003] In an automated window and door processing production line with multiple processes in series, in the face of small but far-reaching physical property fluctuations between raw material batches, the existing technology is difficult to achieve real-time, non-contact identification by the central control system of microscopic processing defects (such as fine burrs) caused by material property changes in upstream processes (such as cutting). For example, when the hardness of a new batch of profiles is slightly higher than the standard, the cutting saw still processes according to the old parameters, and fine burrs that are difficult to detect by the naked eye may be generated on the cut section. Since the sensors at the cutting station only detect length and cannot sense burrs, profiles with potential defects are judged as qualified products and flow to downstream workstations.

[0004] Such microscopic processing defects in upstream processes, such as fine burrs, will directly affect the processing accuracy of downstream workstations. For example, at the drilling station, burrs may cause the profile to not fully fit the positioning reference surface, resulting in slight tilting and displacement, and further causing the drilled hole position to deviate from the designed position. The sensors at the drilling station also cannot verify the hole position accuracy, allowing profiles with hole position deviations to continue flowing to the assembly station. Finally, at the assembly station, due to inaccurate hole positions, the screws cannot align with the screw connection channels, causing the assembly robotic arm to overload and trigger an emergency stop. At this time, the central control system only records the "torque abnormal" fault code, and it is difficult for maintenance personnel to quickly locate the true root cause of the problem, which is the microscopic processing defects caused by material property changes in upstream processes.

[0005] In view of the above problems, the existing technology urgently needs to be improved. Summary of the Invention

[0006] This application provides an automated control method and system for window and door processing, which can improve the accuracy of automated control of window and door processing.

[0007] To achieve the above object, this application adopts the following technical solutions: In a first aspect, an automated control method for door and window processing is provided, comprising: acquiring the force information of the processing tool at the cutting station during door and window processing when processing the material; determining the material difference information between the processed material and the standard material based on the force information; adjusting the processing parameters of the processing tool based on the material difference information; associating the adjusted processing parameters of the processing tool and the material difference information with the material identifier of the processed material to obtain the association information of the processed material, and making the association information flow along the processing material on the production line; the association information is used to enable the downstream processing station of the cutting station to determine the corresponding processing parameters of the downstream processing station based on the association information.

[0008] This technical solution enables real-time sensing of the interaction between materials and tools during processing, thereby identifying subtle material differences and dynamically adjusting processing parameters accordingly. This effectively avoids processing defects caused by fluctuations in material properties. More importantly, by linking material difference information with processing parameters and allowing it to flow with the material, intelligent collaboration between upstream and downstream processes is achieved. This allows downstream workstations to make pre-adjustments, fundamentally solving the problem of upstream defects being transmitted downstream and causing malfunctions in traditional production lines. This significantly improves the level of automation in production and product quality.

[0009] Furthermore, information on the force exerted by the cutting tools at the door and window processing station on the processed material is obtained, including: obtaining the wear mechanics information of the processing tools; and obtaining the force exerted by the processing tools on the processed material based on the wear mechanics information.

[0010] By incorporating the wear mechanics information of the machining tool, this application can more accurately isolate the influence of the tool's own state on the force information, thereby more accurately reflecting the characteristics of the material itself, improving the accuracy of force information acquisition, and providing a more reliable basis for subsequent material difference judgment and parameter adjustment.

[0011] Furthermore, the wear mechanics information of the machining tool is obtained, including: controlling the machining tool to move to the edge of the material to be processed; controlling the machining tool to process the edge of the material to be processed in a preset micro-disturbance machining mode; obtaining the disturbance response force of the machining tool to process the material to be processed in the preset micro-disturbance machining mode; determining the first vibration intensity value of the disturbance response force in multiple vibration frequency bands as the wear mechanics information of the machining tool based on the disturbance response force.

[0012] Through this technical solution, this application obtains the wear mechanics information of the tool in a non-invasive or micro-invasive manner by performing micro-disturbance processing on the material edge, avoiding damage to the main body of the material. At the same time, by analyzing the intensity of the disturbance response force in different vibration frequency bands, the wear state of the tool can be comprehensively and accurately characterized, laying the foundation for the accurate acquisition of subsequent force information.

[0013] Based on the above, this application further proposes that the force information includes the force vibration intensity values ​​of multiple vibration frequency bands, and that the force information of the machining tool on the machining material is obtained based on wear mechanics information, including: controlling the machining tool to move to the machining area of ​​the machining material; controlling the machining tool to process the machining area of ​​the machining material in a normal machining mode; the cutting force of the machining tool in the normal machining mode is greater than the cutting force of the machining tool in the preset micro-disturbance machining mode; obtaining the machining force of the machining tool; determining the second vibration intensity value of the machining force in multiple vibration frequency bands; and using the difference between the second vibration intensity value of multiple vibration frequency bands and the first vibration intensity value of multiple vibration frequency bands as the force vibration intensity value of multiple vibration frequency bands.

[0014] By using this technical solution, this application can effectively eliminate the interference of tool wear on the actual machining force by comparing the machining force under normal machining mode with the wear mechanics information obtained under micro-disturbance mode. This allows for a more accurate extraction of the vibration intensity value of the force caused purely by material properties, providing key data for the subsequent accurate judgment of material differences.

[0015] In some preferred embodiments, the force information includes force vibration intensity values ​​of multiple vibration frequency bands. Determining material difference information between the processed material and the standard material based on the force information includes: determining the force vibration intensity variation value of multiple vibration frequency bands based on the force vibration intensity values ​​of multiple vibration frequency bands; and determining material difference information between the processed material and the standard material based on the force vibration intensity variation value of multiple vibration frequency bands.

[0016] Through this technical solution, this application can more sensitively capture subtle differences in material properties by analyzing the changes in the intensity of force vibration in different frequency bands, and transform complex mechanical information into quantifiable change values, thus providing an effective way to accurately determine material difference information.

[0017] Furthermore, based on the force vibration intensity variation values ​​of multiple vibration frequency bands, the material difference information between the processed material and the standard material is determined, including: obtaining the standard force vibration intensity variation values ​​of multiple vibration frequency bands corresponding to the standard material; for each vibration frequency band, determining whether the target value of the vibration frequency band is greater than the preset variation difference threshold corresponding to the vibration frequency band; the target value is the absolute value of the difference between the force vibration intensity variation value of the vibration frequency band and the standard force vibration intensity variation value; if yes, the vibration frequency band is determined to be the target vibration frequency band; if no, the vibration frequency band is determined not to be the target vibration frequency band; the material difference information between the processed material and the standard material is determined based on the target value of the target vibration frequency band.

[0018] Through this technical solution, this application can accurately identify vibration frequency bands that are significantly different from standard materials by comparing them with standard materials and setting thresholds for screening. This allows the focus to be on the key features that truly reflect the differences in materials, thereby improving the accuracy and efficiency of determining material difference information.

[0019] More specifically, in some implementations, the material difference information includes a target material difference type and a target material difference value for that type. Determining the material difference information between the processed material and the standard material based on the target value of the target vibration frequency band includes: obtaining a first preset correspondence; the first preset correspondence includes a one-to-one correspondence between multiple vibration frequency bands and multiple material difference types; using the material difference type corresponding to the target vibration frequency band in the first preset correspondence as the target material difference type; obtaining a second preset correspondence for the target material difference type; the second preset correspondence includes a one-to-one correspondence between multiple target value ranges and multiple material difference values; using the material difference value corresponding to the target value range of the target vibration frequency band as the target material difference value for the target material difference type corresponding to the target vibration frequency band.

[0020] Through this technical solution, this application establishes a preset correspondence between vibration frequency bands and material difference types, and between target value ranges and material difference values. This enables the transformation of abstract mechanical data into specific and understandable material difference information, allowing the system to automatically identify the specific anomaly types and their degrees in the material, providing clear guidance for subsequent parameter adjustments.

[0021] Preferably, adjusting the processing parameters of the processing tool based on material difference information includes: obtaining a third preset correspondence; the third preset correspondence includes a one-to-one correspondence between multiple material difference types and multiple adjustment coefficients; using the adjustment coefficient corresponding to the target material difference type in the third preset correspondence as the target adjustment coefficient; using the product of the target material difference value of the target material difference type and the target adjustment coefficient as the target processing parameter adjustment value corresponding to the target material difference type; when there are multiple target material difference types, adjusting the target processing parameter adjustment value corresponding to the target material difference type according to the target material difference type to obtain the final processing parameters of the processing tool; when there is only one target material difference type, using the target processing parameter adjustment value corresponding to the target material difference type as the final processing parameter of the processing tool; and controlling the processing tool to process the material with the final processing parameters.

[0022] This technical solution establishes a correspondence between material difference types and adjustment coefficients, and calculates specific parameter adjustment amounts based on material difference values, thereby achieving intelligent and precise adjustment of processing parameters. Whether there is a single difference or multiple differences coexisting, the system can provide a reasonable adjustment plan, ensuring the adaptability and accuracy of the processing, and effectively improving processing quality and efficiency.

[0023] Based on the above, this application further proposes that when there are multiple target material difference types, the target processing parameter adjustment values ​​corresponding to the target material difference types are adjusted according to the target material difference types to obtain the final processing parameters of the processing tool, including: obtaining the weight value of each target material difference type; and taking the weighted sum of the target processing parameter adjustment values ​​of multiple target material difference types as the final processing parameters of the processing tool.

[0024] Through this technical solution, when there are multiple types of material differences, this application introduces weight values ​​to weight the impact of different types of differences, which can more comprehensively and reasonably consider various factors, thereby obtaining more optimized final processing parameters and further improving the intelligence and adaptability of parameter adjustment.

[0025] Secondly, this application also discloses an automated control system for door and window processing, comprising: an acquisition device and a processing device; the acquisition device is used to acquire the force information of the processing tool at the cutting station during door and window processing when processing the material; the processing device is used to determine the material difference information between the processed material and the standard material based on the force information; adjust the processing parameters of the processing tool based on the material difference information; associate the adjusted processing parameters of the processing tool and the material difference information with the material identifier of the processed material to obtain the association information of the processed material, and make the association information flow along with the processed material on the production line; the association information is used to enable the downstream processing station of the cutting station to determine the corresponding processing parameters of the downstream processing station based on the association information.

[0026] Beneficial Effects: The automated control method for door and window processing disclosed in this application can perceive the interaction between materials and tools in real time and non-contactly by acquiring the force information of the processing tools on the processing materials at the cutting station. Based on this force information, the system can accurately determine the material differences between the processed materials and standard materials, thereby overcoming the problem in the prior art of being unable to identify minute fluctuations in the physical properties of raw materials between batches. Furthermore, based on the identified material difference information, the system can intelligently adjust the processing parameters of the processing tools, effectively avoiding micro-processing defects such as the generation of fine burrs caused by changes in material properties.

[0027] More importantly, this application associates the adjusted processing parameters and material difference information with the material identification of the processed material to form a correlation information, which flows along the production line with the processed material. This mechanism allows downstream processing stations to pre-determine and adjust their corresponding processing parameters based on this correlation information. For example, when the upstream cutting station identifies that the material hardness is too high and adjusts its parameters, the downstream drilling station, upon receiving the material, can adjust its drilling speed or feed rate in advance based on the correlation information to adapt to the material characteristics, thereby avoiding problems such as inaccurate positioning and hole deviation caused by upstream micro-defects.

[0028] Through the above technical solution, this application effectively solves the problem in the prior art that micro-processing defects in upstream processes are difficult to identify in real time, and that these defects directly affect the processing accuracy of downstream stations, ultimately leading to difficulties in quickly locating production line faults. This application achieves closed-loop control from material characteristic perception and parameter adaptive adjustment to cross-process information collaboration, significantly improving the automation level, product quality, and production efficiency of door and window processing, while greatly reducing failure rates and maintenance costs, providing an innovative solution for the modern door and window manufacturing field. Attached Figure Description

[0029] Figure 1 A flowchart illustrating an automated control method for door and window manufacturing provided in this application; Figure 2 A flowchart illustrating an automated control method for door and window manufacturing provided in this application; Figure 3 A flowchart illustrating an automated control method for door and window manufacturing provided in this application; Figure 4 This is a schematic diagram of the architecture of an automated control system for door and window processing provided in this application. Detailed Implementation

[0030] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments. The components of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0031] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0032] In automated production lines for door and window manufacturing, traditional equipment control methods rely excessively on manual experience to adjust processing parameters. This not only limits production efficiency but also makes it difficult to ensure batch-to-batch consistency. Especially when facing complex process requirements, existing technologies fall short in achieving intelligent coordination and control between multiple processes. For example, in automated door and window processing production lines with multiple sequential processes, existing technologies struggle to achieve real-time, non-contact identification of micro-processing defects caused by changes in material properties in upstream processes, especially given the subtle but far-reaching fluctuations in the physical properties of raw materials between batches. These micro-processing defects in upstream processes directly affect the processing accuracy of downstream stations, potentially leading to overload of assembly robotic arms and triggering emergency shutdowns, with difficulty in quickly locating the root cause of the problem.

[0033] In this regard, such as Figure 1 As shown, this application proposes an automated control method for door and window manufacturing, including: S101. Obtain the force information of the processing tools at the cutting station during the door and window processing process on the processing material.

[0034] S102. Determine the material difference information between the processed material and the standard material based on the force information.

[0035] S103. Adjust the processing parameters of the processing tool according to the material difference information.

[0036] S104. Associate the processing parameters after the processing tool is adjusted and the material difference information with the material identifier of the processing material to obtain the association information of the processing material, and make the association information flow along the processing material on the production line; the association information is used to enable the downstream processing station of the cutting processing station to determine the corresponding processing parameters of the downstream processing station based on the association information.

[0037] This application achieves intelligent control of the processing process by acquiring information about the force exerted by the processing tool on the processing material, thereby determining material differences and adjusting processing parameters accordingly. Simultaneously, the adjusted parameters and material difference information are associated with material identification and circulated along the production line. This allows downstream workstations to determine the corresponding processing parameters based on this association information, effectively solving the processing accuracy problems and multi-process coordination difficulties caused by material property fluctuations in traditional methods, significantly improving production efficiency and product quality.

[0038] To better understand the automated control method for door and window processing proposed in this application, the key terms and implementation environment involved will be described in detail below. In this application, "processing tool" refers to equipment components used in door and window processing for cutting, drilling, milling, etc., such as cutting saw blades, drill bits, and milling cutters. "Processing parameters" refer to various adjustable values ​​that affect the processing process and results, such as cutting speed, feed rate, rotational speed, and depth of cut. "Processing material" refers to the raw materials used in door and window manufacturing, such as aluminum alloy profiles, PVC profiles, and wood. "Standard material" refers to a material with preset or ideal physicochemical properties, serving as a benchmark for setting processing parameters. "Force information" refers to the mechanical feedback experienced by or applied to the material by the processing tool during processing; this mechanical information reflects the material's physical properties. "Material difference information" refers to the deviation in physical properties between the processed material and the standard material, such as differences in hardness, toughness, and density. "Material identifier" is a code used to uniquely identify batches or individuals of processed materials; it can be a QR code, RFID tag, or a unique ID in a database.

[0039] The core of the automated control method for door and window processing proposed in this application lies in achieving accurate perception of material properties through intelligent analysis of force information during processing, and dynamically adjusting processing parameters accordingly to adapt to the processing needs of different batches of materials.

[0040] Firstly, regarding the feature of "obtaining the force information of the processing tool at the cutting station during the door and window manufacturing process on the processed material," there are several ways to achieve this. For example, force sensors can be installed on the processing tool to directly measure the cutting force, feed force, etc., experienced by the tool when cutting the material. These force sensors can be piezoelectric sensors, resistance strain gauge sensors, or fiber optic sensors, etc., which can convert mechanical signals into electrical signals for subsequent processing.

[0041] Another approach is to indirectly infer force information by monitoring changes in the current, voltage, or power of the motor driving the machining tool. When the tool contacts and processes the material, the motor load changes, causing fluctuations in current, voltage, or power. These fluctuations correspond to forces. For example, a mapping model between motor parameters and forces can be pre-established, and the forces can be estimated by collecting motor parameters in real time.

[0042] Secondly, regarding the feature of "determining the material difference information between the processed material and the standard material based on the force information," there are also various ways to achieve this. One approach is to compare the real-time acquired force information with the pre-stored force information corresponding to the standard material under the same processing conditions. For example, the difference or ratio between the two can be calculated, or statistical analysis can be performed to quantify the deviation of the force information. These deviations can reflect the differences between the processed material and the standard material in physical properties such as hardness, toughness, and density.

[0043] Another approach is to establish a mathematical or machine learning model linking force information with material properties. By training the model with extensive experimental data, it can directly output specific physical parameters of the material, such as hardness and toughness, based on the input force information. These parameters are then compared with corresponding parameters of standard materials to determine material differences. For example, force data during processing of materials with different hardness can be collected and trained using regression analysis or neural network models, enabling the model to predict material hardness based on the force data.

[0044] Furthermore, regarding the feature of "adjusting machining parameters based on material difference information," its implementation can include: one approach is to pre-define a series of correspondences between material difference types and machining parameter adjustment rules. For example, when a material hardness is detected to be too high, the system can automatically reduce the cutting speed or increase the feed rate according to preset rules to avoid excessive tool wear or burr formation. These rules can exist in the form of lookup tables, conditional statements, or expert systems.

[0045] Another approach is to employ adaptive control algorithms. The system can dynamically adjust processing parameters based on real-time acquired material difference information, combined with other feedback during the processing (such as processing quality inspection results). For example, a PID controller or fuzzy control algorithm can be used to calculate and output the optimal processing parameter adjustment values ​​in real time, based on the degree and direction of material differences.

[0046] Finally, regarding the feature of "associating the adjusted processing parameters and material difference information with the material identification of the processed material to obtain the associated information of the processed material, and allowing the associated information to flow along the production line with the processed material; the associated information is used to enable downstream processing stations to determine the corresponding processing parameters based on the associated information," its implementation can include: one method is to store the associated information by attaching physical tags (such as QR codes or RFID tags) to the processed material. At each processing station, the associated information can be read and updated by scanning these tags. For example, after the processing parameters are adjusted at the cutting station, the adjusted parameters and material difference information are encoded into a QR code and printed on the material label. Downstream stations obtain the information by scanning the QR code and adjust their own processing parameters accordingly.

[0047] Another approach is to utilize a central or distributed database to manage the associated information. Each processing station communicates with the database via a network, querying and updating corresponding associated information based on material identifiers. When processed material enters a downstream station, the downstream station retrieves the latest associated information from the database using the material identifier and adjusts its processing parameters accordingly. For example, when material flows from the cutting station to the drilling station, the drilling station can retrieve the material difference information and adjusted cutting parameters recorded by the cutting station from the database based on the material identifier, and calculate the optimal drilling parameters by combining this information with its own process characteristics.

[0048] The automated control method for door and window processing proposed in this application works by constructing a closed-loop intelligent control system to address the challenges posed by fluctuations in material properties during door and window processing. First, at the cutting station, the system acquires real-time force information on the material being processed using the processing tool, for example, through force sensors mounted on the tool or by monitoring changes in motor load. This force information sensitively reflects the physical properties of the material being processed. Next, the system compares this force information with the force information of a preset standard material to accurately determine the material differences between the current processed material and the standard material, such as deviations in hardness, toughness, or density.

[0049] Once the material differences are identified, the system intelligently adjusts the machining parameters of the processing tools. For example, if the material hardness is detected to be too high, the system will automatically reduce the cutting speed or adjust the feed rate to avoid excessive tool wear or machining defects. This adjustment process is dynamic and adaptive, ensuring that the machining process is always in an optimal state.

[0050] More importantly, this application links the adjusted processing parameters and the determined material difference information with the unique material identifier of the processed material to form a complete set of "association information." This set of association information does not remain at the current workstation but flows throughout the entire production line along with the processed material. This means that when the processed material flows from the cutting workstation to downstream processing stations such as drilling, milling, or assembly, the downstream workstation can obtain this set of association information by reading the material identifier.

[0051] Based on this correlation information, downstream processing stations can intelligently determine their corresponding processing parameters, thereby achieving seamless connection and collaborative optimization between various processes on the entire production line. For example, if the cutting station detects a slight difference in the toughness of the material and adjusts the cutting parameters accordingly, then when the material reaches the drilling station, the drilling station can pre-adjust the drilling speed or feed rate based on the correlation information to avoid drilling deviation or burrs caused by differences in material toughness, thus ensuring the processing accuracy and quality of the final product.

[0052] Through the aforementioned collaborative efforts, the overall technical solution of this application effectively solves the problems in traditional door and window manufacturing, such as the difficulty in identifying micro-processing defects in upstream processes, the impact on processing accuracy in downstream processes, and the difficulty in locating faults caused by fluctuations in material properties. It organically combines material property perception, adaptive parameter adjustment, and inter-process information transmission to form an intelligent, efficient, and robust automated control process.

[0053] The automated control method for door and window processing proposed in this application demonstrates significant technological advancements and innovations compared to existing technologies. Traditional automated control methods for door and window processing often struggle to achieve real-time, non-contact identification of micro-processing defects caused by changes in material properties in upstream processes when faced with minute but far-reaching fluctuations in the physical properties of raw materials between batches. For example, when the hardness of a new batch of profiles is slightly higher than the standard, if the cutting saw still processes according to the old parameters, it may produce tiny burrs that are difficult to detect with the naked eye on the cut surface. Since the sensors at the cutting station only detect length and cannot detect burrs, profiles with potential defects are judged as qualified products and flow to downstream stations. Such micro-processing defects in upstream processes, such as tiny burrs, directly affect the processing accuracy of downstream stations, potentially leading to overload of the assembly robot arm and triggering an emergency shutdown. Furthermore, the central control system only records a "torque abnormality" fault code, making it difficult for maintenance personnel to quickly locate the true root cause of the problem.

[0054] The core innovation of this application lies in the accurate perception of material differences between the processed material and the standard material by introducing real-time acquisition and analysis of the force information applied by the processing tool. This mechanism overcomes the limitations of traditional sensors that only detect geometric dimensions, and can capture microscopic changes in the physical properties of the material. For example, by monitoring the mechanical feedback of the cutting tool during processing, the system can identify subtle deviations in material hardness, toughness, etc., thereby detecting potential processing defects in the early stages of processing.

[0055] Furthermore, this application intelligently adjusts the processing parameters of the processing tools based on the determined material difference information. This contrasts sharply with existing technologies that rely on fixed parameters or manual experience for adjustment. Through adaptive adjustment, this application ensures that the processing remains optimal even when dealing with different batches of materials, effectively avoiding problems such as burrs and hole position deviations caused by fluctuations in material properties, and significantly improving processing accuracy and product quality.

[0056] More importantly, this application associates the adjusted processing parameters and material difference information with the material identification of the processed material, and allows this associated information to flow along the production line with the processed material. This innovative information transmission mechanism enables downstream processing stations to intelligently determine their corresponding processing parameters based on the precise material characteristics and processing parameter adjustment suggestions provided by upstream stations. For example, when a profile with specific material difference information flows to the drilling station, the drilling station can pre-adjust the drilling speed and feed rate based on this information to adapt to the material characteristics, thereby avoiding hole deviation. This cross-process information sharing and collaborative control completely solves the problem in existing technologies where upstream defects are transmitted downstream, ultimately leading to difficulties in fault location, and realizes intelligent and integrated control of the entire production line.

[0057] In summary, this application constructs an efficient, precise, and intelligent automated control method for door and window processing by sensing material differences through force information, adaptively adjusting processing parameters, and implementing cross-process information flow and collaborative control. This not only significantly improves production efficiency and product quality, and reduces scrap rates and maintenance costs, but also provides strong technical support for the intelligent development of the door and window manufacturing industry.

[0058] Specifically, such as Figure 2 As shown, the above-mentioned automated control method for door and window processing, in order to obtain the force information of the processing tool at the cutting station on the processing material during the door and window processing process, may include the following steps: S201. Obtain wear mechanics information of the machining tool.

[0059] S202. Obtain the force information of the machining tool on the machining material based on wear mechanics information.

[0060] Wear mechanics information can be understood as mechanical parameters reflecting the wear state of machining tools. Specifically, it can include the changing trends of vibration response, friction, and cutting force, or intensity values ​​at specific frequencies, generated when the machining tool comes into contact with the material under specific conditions. Its purpose is to quantify the degree of wear of the machining tool. In practical applications, machining tools will wear during long-term use, and the geometry of their cutting edges and surface roughness will change, thereby affecting the force characteristics between the machining tool and the workpiece.

[0061] Furthermore, obtaining the force information of a machining tool on the material during machining based on wear mechanics information refers to using the wear state parameters of the machining tool, combined with this wear information, to more accurately calculate or correct the force exerted by the tool on the material during actual machining. For example, a mapping relationship or correction model between wear mechanics information and force information can be established. When the wear state of the machining tool changes, this model can be used to calibrate the directly measured or preliminarily calculated force information to eliminate the influence of wear on the accuracy of the force information.

[0062] The solution proposed in this application quantifies the current wear state of a machining tool by first obtaining its wear mechanics information. Since the wear of a machining tool directly affects the interaction force between it and the workpiece, such as altering cutting forces and vibration characteristics, the force information obtained when the tool interacts with the workpiece without considering its wear state may not accurately reflect the properties of the workpiece itself.

[0063] It is precisely by incorporating wear mechanics information into the process of acquiring force information that we can effectively compensate for or correct changes in force caused by tool wear. This allows the acquired force information to more realistically and accurately reflect the inherent properties of the processed material, providing reliable basic data for subsequent determination of material differences and adjustment of processing parameters.

[0064] By employing the above technical solution, the influence of tool wear on the force applied during material processing can be fully considered when acquiring the force information. This improves the accuracy and reliability of force information acquisition, avoids deviations caused by tool wear, and provides more accurate input for subsequent material difference determination and processing parameter adjustment, thereby enhancing the overall accuracy and adaptability of automated control in door and window processing.

[0065] Specifically, obtaining wear mechanics information of machining tools includes the following steps: The machining tool is controlled to move to the edge of the material to be processed; the machining tool is controlled to process the edge of the material in a preset micro-disturbance machining mode; the disturbance response force of the machining tool on the material under the preset micro-disturbance machining mode is obtained; the first vibration intensity value of the disturbance response force in multiple vibration frequency bands is determined based on the disturbance response force and used as the wear mechanical information of the machining tool.

[0066] The purpose of controlling the movement of the machining tool to the edge of the material being processed is to allow the tool to make initial contact and probe the material without affecting subsequent normal processing. The edge of the material can be understood as the non-critical area or the starting part of the area to be cut.

[0067] Furthermore, the machining tool is controlled to process the edge of the material using a preset micro-perturbation machining mode. The preset micro-perturbation machining mode refers to a low-energy, small-amplitude machining method. For example, it may employ a very small feed rate, a low rotational speed, or a specific vibration frequency to induce slight contact and friction between the machining tool and the material, rather than performing substantial material removal. The aim is to stimulate a weak mechanical response between the machining tool and the material without causing significant damage or altering the material's properties.

[0068] Therefore, the disturbance response force of the machining tool on the material under a preset micro-disturbance machining mode can be obtained. This disturbance response force can be monitored and acquired in real time using force sensors, acceleration sensors, or vibration sensors installed on the machining tool or equipment. This disturbance response force reflects the dynamic mechanical characteristics of the interaction between the machining tool and the material under the micro-disturbance mode.

[0069] Subsequently, the first vibration intensity value of the disturbance response force in multiple vibration frequency bands is determined based on the disturbance response force and used as the wear mechanical information of the machining tool. Specifically, the acquired disturbance response force signal can be transformed from the time domain to the frequency domain using signal processing methods such as Fourier Transform (FFT) to obtain the energy distribution or intensity value in different vibration frequency bands. Multiple vibration frequency bands can be preset based on experience or experimental data to capture specific frequency components closely related to the wear state of the machining tool. The first vibration intensity value is the vibration energy or amplitude in these specific frequency bands, and its variation can effectively characterize the wear degree and mechanical properties of the machining tool.

[0070] The solution proposed in this application employs a preset micro-disturbance machining mode at the edge of the material being processed, enabling precise acquisition of the mechanical interaction information between the machining tool and the material in a non-invasive or minimally invasive manner. Traditional wear detection methods may require machine downtime for inspection or rely on changes in macroscopic machining parameters. In contrast, this solution avoids interference with the main machining area by controlling the machining tool to perform micro-disturbance machining at the edge, while simultaneously and sensitively capturing subtle changes in the mechanical properties of the machining tool caused by wear.

[0071] By performing frequency domain analysis on the disturbance response force and extracting the first vibration intensity value of a specific vibration frequency band, the wear state of the machining tool can be effectively separated from the complex machining mechanics environment, thus obtaining accurate wear mechanics information. This method utilizes the influence of wear on the dynamic response of the tool-material interface, making the assessment of the wear state more refined and real-time.

[0072] Through the above technical solution, this application provides a more refined and accurate method for acquiring wear mechanics information of machining tools. Compared to relying solely on macroscopic machining parameters or empirical judgment, this solution, by performing micro-disturbance machining on the edge of the machining material and analyzing its frequency domain response, can detect the wear state of the machining tool earlier and more sensitively, avoiding problems such as decreased machining quality or shortened tool life caused by inaccurate wear information. Therefore, the acquired wear mechanics information is more reliable, providing a solid foundation for subsequent acquisition of the force information of the machining tool on the machining material based on wear mechanics information, thereby improving the accuracy and reliability of the entire automated control method for door and window processing.

[0073] This application further proposes an automated control method for door and window processing, wherein the force information includes the force vibration intensity values ​​of multiple vibration frequency bands, and the force information of the processing tool on the processing material is obtained based on the above-mentioned wear mechanics information. The method includes: Control the machining tool to move to the machining area of ​​the material; control the machining tool to process the machining area of ​​the material in normal machining mode; the cutting force of the machining tool in normal machining mode is greater than the cutting force of the machining tool in preset micro-disturbance machining mode; obtain the machining force of the machining tool; determine the second vibration intensity value of the machining force in multiple vibration frequency bands; take the difference between the second vibration intensity value of multiple vibration frequency bands and the first vibration intensity value of multiple vibration frequency bands as the vibration intensity value of the force in multiple vibration frequency bands.

[0074] Specifically, the aforementioned force information is defined as the vibration intensity value of the force across multiple vibration frequency bands. This indicates that frequency domain analysis is performed on the mechanical response generated during processing to capture vibration characteristics at different frequencies. The aforementioned wear mechanics information refers to the vibration response of the machining tool obtained under a preset micro-disturbance machining mode, which is determined as the first vibration intensity value across multiple vibration frequency bands.

[0075] To more accurately obtain the force information of the processing tool on the material during processing, this application first controls the processing tool to move from the edge region to the processing area of ​​the material, i.e., the area where the actual cutting operation takes place. Then, the processing tool is controlled to process the processing area of ​​the material in normal processing mode. It is important to note that the cutting force in normal processing mode is set to be greater than the cutting force in the preset micro-perturbation processing mode to ensure simulation of real processing conditions. In this normal processing mode, the processing force of the processing tool is obtained; this force is the combined force generated by the interaction between the processing tool and the material during the actual cutting process.

[0076] Furthermore, frequency domain analysis is performed on the acquired processing force to determine its second vibration intensity value in the aforementioned multiple vibration frequency bands. Finally, the difference between the second vibration intensity value and the first vibration intensity value in the aforementioned multiple vibration frequency bands is taken as the force vibration intensity value in the aforementioned multiple vibration frequency bands.

[0077] The solution proposed in this application effectively solves the problem that relying solely on wear mechanics information may lead to inaccurate force information by introducing a step of obtaining the processing force under normal processing mode and performing frequency domain analysis.

[0078] Specifically, the first vibration intensity value reflects the wear characteristics of the machining tool under slight disturbance, while the second vibration intensity value reflects the comprehensive mechanical response of the machining tool under actual cutting load, which includes the material's inherent properties and the influence of tool wear. By calculating the difference between the second and first vibration intensity values, the mechanical response caused by the characteristics of the machined material can be effectively isolated, thus more accurately characterizing the difference between the machined material and the standard material. This difference calculation method is equivalent to subtracting the influence of tool wear from the total machining force, making the final force vibration intensity value more purely and accurately reflect the physical properties of the machined material itself, such as hardness, toughness, and density, which will have different responses in different vibration frequency bands.

[0079] Through the above technical solution, this application can more accurately obtain the force information of the processing tool on the processing material. Compared with relying solely on wear mechanics information, this solution effectively eliminates the interference of tool wear on the force information measurement by obtaining the processing force under normal processing mode and combining it with wear mechanics information for difference calculation. This allows the obtained force vibration intensity value to more realistically reflect the physical properties of the processing material itself. Therefore, it can significantly improve the accuracy of subsequent determination of material differences between the processed material and the standard material, thereby making the adjustment of processing parameters more precise, and ultimately improving the level of automation control and product quality in door and window processing.

[0080] Specifically, the force information includes the force vibration intensity values ​​across multiple vibration frequency bands, such as... Figure 3 As shown, the material difference information between the processed material and the standard material is determined based on the force information, including: S301. Determine the variation value of the force vibration intensity of multiple vibration frequency bands based on the force vibration intensity values ​​of multiple vibration frequency bands.

[0081] S302. Based on the change values ​​of the force vibration intensity in multiple vibration frequency bands, determine the material difference information between the processed material and the standard material.

[0082] Specifically, in the door and window manufacturing process, the force exerted by the processing tool on the processed material is not a single static value, but rather a dynamic information containing multiple frequency components. Decomposing this force information into force vibration intensity values ​​across multiple vibration frequency bands allows for a more precise capture of the characteristics of the processed material at different frequency responses. The force vibration intensity value refers to the energy or amplitude of the force signal within a specific vibration frequency band, reflecting the dynamic characteristics of the interaction between the processing tool and the processed material.

[0083] Furthermore, determining the variation values ​​of force vibration intensity across multiple vibration frequency bands refers to monitoring the changes in force vibration intensity for each specific vibration frequency band during the processing. These variations sensitively reflect the physical properties of the processed material, such as its hardness, toughness, and internal defects. Finally, by comparing the variation values ​​of force vibration intensity of the processed material across different vibration frequency bands with the corresponding values ​​of a standard material, the differences between the processed and standard materials can be quantified, thereby determining the material differences between them. For example, if the variation value of vibration intensity in a certain frequency band deviates significantly from the standard value, it may indicate a difference in the physical properties of the processed material at that frequency band.

[0084] The solution proposed in this application refines the force information into force vibration intensity values ​​across multiple vibration frequency bands and further analyzes their variations, thereby fully utilizing the dynamic mechanical response generated during processing. It is precisely because different materials or material states (e.g., defects, changes in hardness) exhibit different dynamic responses during machining that the variations in force vibration intensity become sensitive indicators of these material properties. By comparing these variations with known standards, subtle or significant material differences between the processed material and the standard material can be accurately identified—differences that might be overlooked when focusing only on a single, aggregated force value.

[0085] The above technical solution enables more refined and accurate identification of material differences between processed materials and standard materials. This method not only detects the presence of material differences but also provides a more targeted basis for adjusting subsequent processing parameters by analyzing the response at different vibration frequencies, thereby improving processing accuracy and efficiency.

[0086] This application further proposes a method for determining the material difference information between the processed material and the standard material based on the variation values ​​of the force vibration intensity in the above-mentioned multiple vibration frequency bands, which includes: Obtain the standard force vibration intensity variation values ​​for multiple vibration frequency bands corresponding to the standard material; for each vibration frequency band, determine whether the target value of the vibration frequency band is greater than the preset variation difference threshold corresponding to the vibration frequency band; the target value is the absolute value of the difference between the force vibration intensity variation value and the standard force vibration intensity variation value of the vibration frequency band; if yes, determine that the vibration frequency band is the target vibration frequency band; if no, determine that the vibration frequency band is not the target vibration frequency band; determine the material difference information between the processed material and the standard material based on the target value of the target vibration frequency band.

[0087] Specifically, when determining the material differences between the processed material and the standard material, it is first necessary to obtain the standard force vibration intensity variation values ​​for multiple vibration frequency bands corresponding to the standard material. The standard material refers to a reference material with known and stable physicochemical properties. Its corresponding standard force vibration intensity variation values ​​can be obtained by pre-processing and testing the standard material and analyzing its force information, serving as a benchmark for subsequent judgment of the differences between the processed materials. The purpose is to provide a reliable reference point for the quantitative assessment of material differences.

[0088] Furthermore, for each of the multiple vibration frequency bands, it is necessary to determine whether the target value of the vibration frequency band is greater than the preset variation difference threshold corresponding to the vibration frequency band. The target value is defined as the absolute value of the difference between the variation value of the applied force vibration intensity and the variation value of the standard force vibration intensity in the vibration frequency band. This target value quantifies the degree of difference between the current processed material and the standard material in a specific vibration frequency band. The preset variation difference threshold is a pre-set critical value used to distinguish between normal material fluctuations and significant differences; it can be determined based on experience, experimental data, or statistical analysis. Its purpose is to filter out minor fluctuations that are not of practical significance, focusing only on significant material differences that are sufficient to affect processing quality.

[0089] Therefore, if the target value is greater than the preset threshold for the difference in change, the vibration frequency band is determined to be the target vibration frequency band; otherwise, the vibration frequency band is determined not to be the target vibration frequency band. In this way, vibration frequency bands that differ significantly from standard materials in terms of mechanical properties can be effectively screened out. These target vibration frequency bands are usually associated with changes in specific physical properties of the material (such as hardness, toughness, density, etc.).

[0090] Ultimately, the material difference information between the processed material and the standard material is determined based on the target values ​​of the target vibration frequency bands. This means that only those vibration frequency bands identified as target vibration frequency bands, whose target values ​​exceed the threshold, are used for further analysis and quantification of material difference information. This method ensures the accuracy and specificity of the material difference information, avoiding misjudgments caused by irrelevant or minor fluctuations.

[0091] This application's solution effectively solves the problem that it is difficult to accurately judge material differences based solely on the change in force vibration intensity of a standard material. Specifically, by calculating the absolute difference (i.e., the target value) between the processed material and the standard material in each vibration frequency band, the actual degree of difference between them can be quantified. Then, by comparing this target value with the preset difference threshold, it is possible to intelligently identify those significantly different vibration frequency bands that exceed the normal fluctuation range and have practical processing significance—the target vibration frequency bands.

[0092] This screening mechanism avoids misjudging minor material fluctuations or measurement noise as substantial material differences, thereby improving the accuracy and reliability of material difference determination. It is precisely this benchmark- and threshold-based judgment mechanism that allows subsequent processing parameter adjustments to be more precisely targeted at actual material differences, avoiding unnecessary or insufficient adjustments.

[0093] Through the above technical solution, this application can significantly improve the accuracy and reliability of determining material difference information in the automated control method for door and window processing. By introducing standard materials as a reference and combining them with a preset difference threshold to filter the change value of the applied force vibration intensity, normal fluctuations and substantial differences in materials can be effectively distinguished, avoiding misjudgments caused by minor or irrelevant changes. Therefore, the determined material difference information more accurately reflects the true characteristics of the processed materials, providing a more reliable basis for adjusting the processing parameters of subsequent processing tools, thereby helping to improve processing quality, reduce scrap rate, and optimize production efficiency.

[0094] Specifically, in the above-mentioned automated control method for door and window processing, in order to more accurately determine the material difference information between the processed material and the standard material based on the target value of the target vibration frequency band, this application further proposes the following steps.

[0095] The aforementioned material difference information includes the target material difference type and the target material difference value for that type. Based on the target value within the target vibration frequency band, the material difference information between the processed material and the standard material is determined, including: Obtain a first preset correspondence; the first preset correspondence includes a one-to-one correspondence between multiple vibration frequency bands and multiple material difference types; take the material difference type corresponding to the target vibration frequency band in the first preset correspondence as the target material difference type; obtain a second preset correspondence for the target material difference type; the second preset correspondence includes a one-to-one correspondence between multiple target value ranges and multiple material difference values; take the material difference value corresponding to the target value range in which the target value of the target vibration frequency band is located as the target material difference value of the target material difference type corresponding to the target vibration frequency band.

[0096] The first pre-defined correspondence can be understood as a pre-established mapping table or database, which associates specific vibration frequency bands with possible material difference types. For example, a specific high-frequency vibration band may be associated with differences in material hardness, while another low-frequency vibration band may be associated with differences in material toughness. This correspondence can be established and optimized through extensive experimental data, materials science theoretical analysis, or expert experience. Using this first pre-defined correspondence, once the target vibration frequency band is identified, the type of material difference indicated by that frequency band can be directly determined, such as differences in hardness, density, or internal defects.

[0097] Furthermore, the target material difference type refers to the specific type of material difference between the processed material and the standard material, determined through a first preset correspondence. For example, if the target vibration frequency band is identified as being related to material hardness, then the target material difference type is "hardness difference".

[0098] Furthermore, a second pre-defined correspondence is established for each type of target material difference, used to map the target value (i.e., the absolute value of the difference between the change in force vibration intensity and the change in standard force vibration intensity) of the target vibration frequency band to a specific material difference value. This second pre-defined correspondence typically exists in the form of a range. For example, when the target material difference type is "hardness difference," if the target value falls within a certain range, the corresponding material difference value may indicate a 10% increase in hardness; if it falls within another range, it may indicate a 5% decrease in hardness. This correspondence can also be obtained through experimental calibration and data analysis to ensure that the target value can accurately quantify the degree of material difference.

[0099] Therefore, the target material difference value refers to the specific numerical value that quantifies the degree of difference between the processed material and the standard material, determined by the target value of the target vibration frequency band through a second preset correspondence. For example, if the target material difference type is "hardness difference", the target material difference value may be "+5%" (meaning the hardness is 5% higher than the standard material) or "-3%" (meaning the hardness is 3% lower than the standard material).

[0100] This application's solution, by introducing a first and a second pre-defined correspondence, achieves refined and quantitative determination of material difference information between the processed material and the standard material. Specifically, when the cutting station is processing the material, by analyzing the force information of the processing tool, the target vibration frequency band and its target value related to changes in material properties can be identified. Because different material properties (such as hardness, density, internal structure, etc.) will produce different vibration responses to the processing tool during processing, and these responses are often concentrated in specific vibration frequency bands, the first pre-defined correspondence can be used to associate these specific target vibration frequency bands with specific material difference types (such as hardness differences, toughness differences, etc.).

[0101] Based on this, for the identified target material difference type, a second preset correspondence is used to map the target value (whose magnitude reflects the degree of difference) of the target vibration frequency band to a specific material difference value. This step-by-step mapping mechanism makes the process from the original force information to the final determination of the material difference type and difference value more structured and precise.

[0102] The aforementioned technical solution enables the categorization and quantification of material differences between processed materials and standard materials. This allows for the identification of material differences to go beyond simply stating "differences exist," clarifying "what kinds of differences exist" and "the degree of difference." This refined material difference information provides a more accurate and comprehensive basis for adjusting subsequent processing parameters, facilitating more precise processing control and improving processing quality and efficiency. Furthermore, the pre-defined correspondence simplifies the complexity of real-time judgment, enhancing system response speed and automation levels.

[0103] This application further proposes steps for adjusting the processing parameters of the processing tool based on the aforementioned material difference information, including: Obtain a third preset correspondence; the third preset correspondence includes a one-to-one correspondence between multiple material difference types and multiple adjustment coefficients; use the adjustment coefficient corresponding to the target material difference type in the third preset correspondence as the target adjustment coefficient; use the product of the target material difference value of the target material difference type and the target adjustment coefficient as the target processing parameter adjustment value corresponding to the target material difference type; when there are multiple target material difference types, adjust the target processing parameter adjustment value corresponding to the target material difference type according to the target material difference type to obtain the final processing parameters of the processing tool; when there is only one target material difference type, use the target processing parameter adjustment value corresponding to the target material difference type as the final processing parameter of the processing tool; control the processing tool to process the material with the final processing parameters.

[0104] Specifically, the third pre-defined correspondence can be understood as a pre-established set of rules to guide parameter adjustments. This correspondence associates different types of material differences (e.g., high material hardness, low toughness, uneven density, etc.) with corresponding adjustment coefficients. For example, when the material hardness is high, a positive adjustment coefficient may be needed to increase the cutting force or decrease the feed rate; when the material toughness is low, a negative adjustment coefficient may be needed to decrease the cutting force or increase the feed rate. These adjustment coefficients are pre-determined based on a large amount of experimental data, empirical knowledge, or simulation models, aiming to quantify the degree of influence of different material differences on processing parameters.

[0105] Specifically, using the adjustment coefficient corresponding to the target material difference type in the third preset correspondence as the target adjustment coefficient means that the system searches for and extracts the matching adjustment coefficient from the preset correspondence based on the currently identified specific target material difference type. For example, if the identified target material difference type is "high hardness", the system will obtain the adjustment coefficient corresponding to "high hardness".

[0106] In practical applications, the product of the target material difference value and the target adjustment coefficient for each target material difference type is used as the target processing parameter adjustment value. The purpose is to combine the quantified degree of material difference (target material difference value) with the weight of the difference type's influence on processing parameters (target adjustment coefficient) to calculate the required adjustment amount of processing parameters for that specific material difference type. For example, if the target material difference value is 0.1 (indicating a 10% increase in hardness) and the target adjustment coefficient is 5 (indicating that for every 1% increase in hardness, the processing parameters need to be adjusted by 5 units), then the target processing parameter adjustment value is 0.1 * 5 = 0.5 units.

[0107] Furthermore, when there are multiple types of target material differences, the target processing parameters corresponding to each type of difference are adjusted to obtain the final processing parameters for the processing tool. This means that when the system simultaneously identifies multiple material differences (e.g., high hardness and low toughness), the target processing parameter adjustment values ​​calculated for each difference type need to be comprehensively processed. This comprehensive processing can employ various strategies, such as weighted averaging, superposition, taking the maximum or minimum value, to ensure that the final processing parameters can effectively address all identified material differences.

[0108] In a preferred embodiment, when there is only one type of target material difference, the target processing parameter adjustment value corresponding to that type of target material difference is used as the final processing parameter of the processing tool. This means that if only one type of material difference is identified, the adjustment value calculated for that difference type is directly used as the final processing parameter adjustment amount.

[0109] Finally, the processing tools are controlled to process the materials with the final processing parameters. The purpose is to apply the finely adjusted processing parameters to the actual door and window processing process, thereby achieving adaptive processing of different material properties, improving processing accuracy and efficiency, and reducing scrap rate.

[0110] This application's solution introduces a third pre-defined correspondence to associate abstract material difference types with specific adjustment coefficients, enabling the system to obtain the corresponding adjustment coefficients based on the identified target material difference type. Subsequently, by multiplying the target material difference value by the target adjustment coefficient, the specific impact of each material difference type on processing parameters is quantified, yielding the target processing parameter adjustment values. More importantly, this solution considers the complex situation when there are multiple target material difference types. By further adjusting multiple target processing parameter adjustment values, the rationality and effectiveness of the final processing parameters are ensured, thus overcoming the limitations of traditional methods in terms of inaccurate or incomplete parameter adjustment when facing complex material differences. It is precisely because of this systematic adjustment mechanism that the processing tool can adaptively adjust according to the actual characteristics of the material, significantly improving the flexibility and intelligence of the processing.

[0111] Through the above technical solution, this application enables refined and adaptive handling of material differences during door and window processing. Specifically, by establishing a correspondence between material difference types and adjustment coefficients, and combining this with the material difference values ​​for product calculation, the adjustment of processing parameters becomes more scientific and quantitative. Especially when multiple material difference types exist, by comprehensively adjusting the adjustment values ​​of multiple target processing parameters, the limitations that may arise from adjusting a single parameter are avoided, ensuring that the processing tools can process with parameters most suitable for the current material characteristics. This significantly improves processing accuracy, stability, and efficiency, effectively reduces processing defects and scrap rates caused by material differences, and enhances the automation and intelligence level of the overall production line.

[0112] This application further proposes a method for adjusting the target processing parameter adjustment value corresponding to the target material difference type according to the target material difference type when there are multiple target material difference types, to obtain the final processing parameters of the processing tool, including: Obtain the weight value for each target material difference type; use the weighted sum of the target processing parameter adjustment values ​​for multiple target material difference types as the final processing parameters for the processing tool.

[0113] Specifically, when determining the final processing parameters of the machining tool, it is first necessary to obtain the weight value corresponding to each type of target material difference. These weight values ​​can be understood as the relative importance or contribution of different material difference types in influencing the adjustment of processing parameters. For example, if the hardness difference of the material has a greater impact on the cutting depth, while the toughness difference has a smaller impact on the cutting speed, then the weight value corresponding to the hardness difference can be set higher. The determination of weight values ​​can be based on historical processing data, expert experience, materials science theoretical analysis, or through training and optimization using machine learning models. After obtaining the weight values ​​for each type of target material difference, the target processing parameter adjustment value corresponding to each type of target material difference is multiplied by its corresponding weight value, and then all products are summed to obtain a weighted sum. This weighted sum is then determined as the final processing parameters of the machining tool.

[0114] This application's solution, by introducing weight values ​​and employing a weighted summation method to determine the final processing parameters, enables more refined handling of situations where multiple target material difference types coexist. Because different material difference types often have varying degrees of impact on the processing, simply treating them as equals may dilute the influence of some key differences or amplify the influence of insignificant differences. By assigning weight values ​​to each target material difference type, the adjustment of processing parameters can fully consider the relative importance of various material differences, thereby ensuring that the final processing parameter adjustments are more scientific and reasonable.

[0115] By employing the above technical solution, when processing materials exhibiting multiple material differences, the problem of inaccurate processing parameter adjustments caused by simple superposition or averaging can be avoided. This solution enables the final processing parameters of the machining tool to more accurately reflect the comprehensive characteristics of the processed material, thereby significantly improving processing precision and stability, reducing scrap rates, and optimizing production efficiency. Furthermore, by flexibly adjusting weight values, this method also possesses good adaptability and can handle complex situations under different materials and processing requirements.

[0116] This application also discloses an automated control system for door and window processing, comprising: an acquisition device and a processing device; the acquisition device is used to acquire the force information of the processing tool at the cutting station during door and window processing when it processes the material; the processing device is used to determine the material difference information between the processed material and the standard material based on the force information; adjust the processing parameters of the processing tool based on the material difference information; associate the adjusted processing parameters of the processing tool and the material difference information with the material identifier of the processed material to obtain the association information of the processed material, and make the association information flow along the processing material on the production line; the association information is used to enable the downstream processing station of the cutting station to determine the corresponding processing parameters of the downstream processing station based on the association information.

[0117] Specifically, the acquisition device may include force sensors mounted on the machining tool to directly measure the cutting force, feed force, etc., experienced by the tool when cutting material. These force sensors may be piezoelectric sensors, resistance strain gauge sensors, or fiber optic sensors, which can convert mechanical signals into electrical signals. Alternatively, the acquisition device can indirectly infer force information by monitoring changes in the current, voltage, or power of the machining tool's drive motor. In this case, the acquisition device may include current sensors, voltage sensors, or power meters, as well as analog-to-digital converters for converting these electrical signals into digital signals.

[0118] This processing device can be understood as a combination of one or more computing units, storage units, and communication units. For example, it can be an industrial controller (such as a PLC), an industrial computer, or an embedded system, containing a processor, memory, and input / output interfaces. The processing device can pre-store force information and processing parameter adjustment rules for standard materials. Upon receiving force information from the acquisition device, the processing device compares the real-time force information with the standard information by executing a preset algorithm or model to determine material differences. For example, the processing device can perform simple difference calculations or table lookups to determine material differences. Subsequently, based on this material difference information, the processing device calculates the adjustment values ​​for the processing parameters of the machining tool through preset logical judgments or by looking up pre-stored adjustment rules, and controls the machining tool to make adjustments. Furthermore, the processing device is responsible for binding the adjusted processing parameters and material difference information with the material identifier of the processed material, storing this association information in local memory or sending it to a central database via a communication interface for downstream workstations to query and use. For example, the processing device can communicate with other control systems on the production line via wired or wireless networks to achieve information transmission and sharing.

[0119] The above are merely embodiments of this application and are not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. An automated control method for door and window manufacturing, characterized in that, include: Obtain information on the force exerted by the cutting tools on the material during the door and window manufacturing process; Based on the force information, determine the material difference information between the processed material and the standard material; Adjust the processing parameters of the processing tool according to the material difference information; The processing parameters after the processing tool is adjusted and the material difference information are associated with the material identifier of the processing material to obtain the association information of the processing material, and the association information is made to flow along the processing material on the production line; the association information is used to enable the downstream processing station of the cutting processing station to determine the processing parameters corresponding to the downstream processing station based on the association information. The acquisition of the force information of the processing tools at the cutting station during the door and window processing process on the processed material includes: Obtain the wear mechanics information of the machining tool; Based on the wear mechanics information, obtain the force information of the machining tool on the material during machining; The acquisition of wear mechanical information of the machining tool includes: Control the machining tool to move to the edge of the material being processed; The processing tool is controlled to process the edge of the material in a preset micro-disturbance processing mode; The disturbance response force of the processing tool to the processing material under a preset micro-disturbance processing mode is obtained; The first vibration intensity value of the disturbance response force in multiple vibration frequency bands is determined based on the disturbance response force and used as the wear mechanical information of the machining tool; The force information includes the force vibration intensity values ​​of multiple vibration frequency bands. The step of obtaining the force information of the machining tool on the material during machining based on the wear mechanics information includes: Control the movement of the processing tool to the processing area of ​​the processing material; The processing tool is controlled to process the processing area of ​​the material in a normal processing mode; the cutting force of the processing tool in the normal processing mode is greater than the cutting force of the processing tool in the preset micro-disturbance processing mode. Obtain the processing force of the processing tool; Determine the second vibration intensity value of the processing force in the multiple vibration frequency bands; The difference between the second vibration intensity value of the plurality of vibration frequency bands and the first vibration intensity value of the plurality of vibration frequency bands is taken as the force vibration intensity value of the plurality of vibration frequency bands.

2. The automated control method for door and window processing according to claim 1, characterized in that, Based on the force information, the material difference information between the processed material and the standard material is determined, including: The variation value of the force vibration intensity in the multiple vibration frequency bands is determined based on the force vibration intensity value in the multiple vibration frequency bands. Based on the changes in the force vibration intensity of the multiple vibration frequency bands, the material difference information between the processed material and the standard material is determined.

3. The automated control method for door and window processing according to claim 2, characterized in that, Based on the changes in the force vibration intensity across the multiple vibration frequency bands, the material difference information between the processed material and the standard material is determined, including: Obtain the standard force vibration intensity variation values ​​for multiple vibration frequency bands corresponding to the standard material; For each of the multiple vibration frequency bands, determine whether the target value of the vibration frequency band is greater than the preset change difference threshold corresponding to the vibration frequency band; the target value is the absolute value of the difference between the change value of the applied force vibration intensity and the change value of the standard force vibration intensity in the vibration frequency band. If yes, determine that the vibration frequency band is the target vibration frequency band; if no, determine that the vibration frequency band is not the target vibration frequency band. The material difference information between the processed material and the standard material is determined based on the target value of the target vibration frequency band.

4. The automated control method for door and window processing according to claim 3, characterized in that, The material difference information includes the target material difference type and the target material difference value of the target material difference type. Based on the target value of the target vibration frequency band, the material difference information between the processed material and the standard material is determined, including: Obtain a first preset correspondence; the first preset correspondence includes a one-to-one correspondence between multiple vibration frequency bands and multiple material difference types; The material difference type corresponding to the target vibration frequency band in the first preset correspondence is taken as the target material difference type; Obtain a second preset correspondence relationship for the target material difference type; the second preset correspondence relationship includes a one-to-one correspondence relationship between multiple target value ranges and multiple material difference values; The material difference value corresponding to the target value range of the target value in the target vibration frequency band is taken as the target material difference value of the target material difference type corresponding to the target vibration frequency band.

5. The automated control method for door and window processing according to claim 4, characterized in that, Adjusting the processing parameters of the processing tool based on the material difference information includes: Obtain a third preset correspondence; the third preset correspondence includes a one-to-one correspondence between multiple material difference types and multiple adjustment coefficients; The adjustment coefficient corresponding to the target material difference type in the third preset correspondence is used as the target adjustment coefficient; The product of the target material difference value of the target material difference type and the target adjustment coefficient is used as the target processing parameter adjustment value corresponding to the target material difference type; When there are multiple target material difference types, the target processing parameter adjustment values ​​corresponding to the target material difference types are adjusted according to the target material difference types to obtain the final processing parameters of the processing tool; When there is only one type of target material difference, the target processing parameter adjustment value corresponding to the target material difference type is used as the final processing parameter of the processing tool; The machining tool is controlled to process the material according to the final machining parameters.

6. The automated control method for door and window processing according to claim 5, characterized in that, When there are multiple target material difference types, the target processing parameter adjustment values ​​corresponding to the target material difference types are adjusted according to the target material difference types to obtain the final processing parameters of the processing tool, including: Obtain the weight value for each target material difference type; The weighted sum of the target processing parameter adjustment values ​​for multiple target material difference types is used as the final processing parameter for the processing tool.

7. An automated control system for door and window processing, characterized in that, include: Acquisition device and processing device; The acquisition device is used to acquire information on the force exerted by the processing tools at the cutting station on the processing material during the door and window processing process. The acquisition of the force information of the processing tools at the cutting station during the door and window processing process on the processed material includes: Obtain the wear mechanics information of the machining tool; Based on the wear mechanics information, obtain the force information of the machining tool on the material during machining; The acquisition of wear mechanical information of the machining tool includes: Control the machining tool to move to the edge of the material being processed; The processing tool is controlled to process the edge of the material in a preset micro-disturbance processing mode; The disturbance response force of the processing tool to the processing material under a preset micro-disturbance processing mode is obtained; The first vibration intensity value of the disturbance response force in multiple vibration frequency bands is determined based on the disturbance response force and used as the wear mechanical information of the machining tool; The force information includes the force vibration intensity values ​​of multiple vibration frequency bands. The step of obtaining the force information of the machining tool on the material during machining based on the wear mechanics information includes: Control the movement of the processing tool to the processing area of ​​the processing material; The processing tool is controlled to process the processing area of ​​the material in a normal processing mode; the cutting force of the processing tool in the normal processing mode is greater than the cutting force of the processing tool in the preset micro-disturbance processing mode. Obtain the processing force of the processing tool; Determine the second vibration intensity value of the processing force in the multiple vibration frequency bands; The difference between the second vibration intensity value of the plurality of vibration frequency bands and the first vibration intensity value of the plurality of vibration frequency bands is taken as the force vibration intensity value of the plurality of vibration frequency bands; The processing device is used to determine the material difference information between the processed material and the standard material based on the force information; adjust the processing parameters of the processing tool based on the material difference information; associate the adjusted processing parameters of the processing tool and the material difference information with the material identifier of the processed material to obtain the association information of the processed material, and make the association information flow along the processing material on the production line; the association information is used to enable the downstream processing station of the cutting processing station to determine the processing parameters corresponding to the downstream processing station based on the association information.

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