Novel door and window automatic production line optimization method and system

Abstract

The invention provides a novel door and window automatic production line optimization method and system. Wherein an energy consumption fingerprint spectrum is constructed by monitoring power fluctuation of a power input point and a temperature field of a hot pressing area in real time, and an equipment beat prediction curve is generated in combination with historical data; a nano-structure heat radiation attenuation channel is constructed in a hot-pressing area, and excessive heat flow is dynamically blocked to form a heat shielding topology; triggering an adaptive matching mechanism based on the frame contour, and coupling the curvature and the thermal shielding attenuation intensity to generate a pressure compensation gradient field; and the phase difference of the beat curve and the pressure field is fused to drive transmission equipment to execute asymmetric variable motion and link a glue gun to generate a pulse width modulation glue solution wave front, so that collaborative optimization of thermodynamic behaviors and mechanical transmission precision of the production line is realized. According to the technical scheme, through dynamic coupling of the heat shielding topology and the transmission rhythm, overall collaborative optimization of the thermodynamic stability and the mechanical action precision of the production line is achieved, the energy efficiency is remarkably improved, and the thermal deformation error is effectively restrained.

Description

Technical Field

[0001] This application relates to the field of automated production technology, and in particular to a novel method and system for optimizing automated production lines for doors and windows. Background Technology

[0002] In automated production lines for irregularly shaped door and window parts, the processing objects have complex curved surface features and require high-frequency hot pressing. The production line must simultaneously meet the dynamic stability of the temperature field in the hot pressing zone and the high-precision coordination of the transmission equipment's action rhythm in order to avoid problems such as glue overflow at the joints and frame warping caused by thermal deformation, and to reduce energy consumption.

[0003] The current mainstream solution adopts a multi-axis servo synchronous control system based on dynamic temperature control algorithm. It uses thermocouples and infrared sensors to provide real-time feedback of the temperature data of the hot pressing zone, adjusts the speed of the servo motor in combination with preset transmission cycle parameters, and uses glue gun path programming to realize the glue application of the joint.

[0004] This solution relies on a fixed threshold heat flux density alarm mechanism. When the local heat flux density changes abruptly in the hot pressing zone, the temperature field control is lagging, which makes it impossible for the heat shield structure to adapt to the changes in the contour of the irregular part in real time. At the same time, the timing coupling between the transmission cycle and the hot pressing process is insufficient, and the dynamic matching accuracy between the glue gun start and stop and the curvature of the curved surface is low. This can easily lead to uneven glue coverage or thermal stress accumulation, affecting the yield and energy efficiency ratio of the finished product. Summary of the Invention

[0005] This application provides a novel method and system for optimizing automated production lines for doors and windows, which solves the problem in the prior art that the heat shielding structure cannot adapt to changes in the contour of irregular parts in real time.

[0006] Firstly, this application provides a novel method for optimizing automated door and window production lines, including: By dynamically capturing the power fluctuation characteristics of the power input point of the automated production line through pressure sensing devices, and combining the real-time monitoring data of the surface temperature field distribution of the hot pressing zone, an energy consumption fingerprint map associated with the door and window processing process is established. Based on the periodic variation pattern of the energy consumption fingerprint spectrum, the relationship between the acceleration of the transmission equipment and the start-stop duration of the glue gun is extracted from historical operating data to generate a prediction curve of the equipment's action cycle. A dynamically modulated thermal radiation attenuation channel is constructed in the hot-pressing region. When the heat flux density at a specific coordinate point in the temperature field distribution exceeds the critical threshold, the thermal radiation band is selectively blocked through the nanostructure deformation mechanism in the thermal radiation attenuation channel, forming a thermal shielding topology that matches the spatial layout of the production line. The adaptive matching mechanism of the hot-pressing contact surface is triggered by the change of the contour parameters of the door and window frame, and the curvature characteristics of the frame edge are dynamically coupled with the attenuation intensity of the heat shielding topology to generate a hot-pressing pressure compensation gradient field. By integrating the phase difference between the predicted motion cycle curve of the equipment and the compensating gradient field of the hot pressing pressure, the transmission equipment is synchronously driven to execute an asymmetric speed change motion trajectory, and the glue gun is linked to generate a pulse width modulated glue coverage wavefront at the curved joint, thereby achieving overall optimization of the thermodynamic behavior and mechanical transmission accuracy of the production line in the processing scenario of irregular door and window parts.

[0007] Optionally, by fusing the phase difference between the predicted motion cycle curve of the device and the hot-pressing pressure compensation gradient field, the transmission device is synchronously driven to execute an asymmetric variable speed motion trajectory, and the glue gun is linked to generate a pulse-width modulated glue coverage wavefront at the curved joint, including: The acceleration time series in the predicted equipment action beat curve is orthogonally projected onto the spatial attenuation intensity distribution of the hot-pressing pressure compensation gradient field to generate a spatiotemporal mapping relationship. Based on the phase offset between the acceleration extremum and the attenuation intensity peak in the spatiotemporal mapping relationship, the acceleration and deceleration intervals of the transmission equipment are divided. Within the acceleration zone, the angular velocity of the transmission equipment is dynamically increased so that the pressure distribution on the hot-pressed contact surface coincides with the high attenuation region of the compensation gradient field; within the deceleration zone, the angular velocity of the transmission equipment is simultaneously reduced, and the glue gun is triggered to generate a high-frequency pulse spray command at the turning point of the curved joint. Based on the spatial cumulative effect of the phase offset, the interval of the pulse spray command is dynamically adjusted at the curved joint of the glue gun to keep the glue covering the wavefront synchronized with the speed change trajectory of the transmission equipment.

[0008] Optionally, by dynamically capturing power fluctuation characteristics at the power input points of the automated production line using pressure sensing devices, and combining this with real-time monitoring data of the surface temperature field distribution in the hot pressing zone, an energy consumption fingerprint map associated with the door and window processing steps is established, including: A ring-shaped pressure sensor array is installed on the power output shaft of the transmission equipment to capture the peak value and duration of power fluctuations in the transmission chain at the power input point of the automated production line, with the process cycle as the sampling unit. A temperature sensing grid is set up on the working surface of the hot pressing equipment to record the set of coordinate points in the surface temperature field distribution of the hot pressing zone that exceed the preset threshold in real time. The peak power fluctuation and its duration are encoded as time-domain energy release characteristics according to the process stage; The spatial distribution of the temperature field coordinate point set is converted into a heat flux density topology model to extract the heat radiation accumulation area of ​​each process stage. Based on the spatiotemporal correspondence between the energy release characteristics and the thermal radiation accumulation area, an energy consumption fingerprint map containing process identification codes is generated.

[0009] Optionally, based on the periodic variation pattern of the energy consumption fingerprint spectrum, the relationship between the acceleration of the transmission equipment and the start-stop duration of the glue gun is extracted from historical operating data to generate a predicted curve of the equipment's operating cycle time, including: The historical operation data is stored in the form of door and window models, and the statistical distribution of acceleration time series data of transmission equipment and start-stop interval of glue gun are classified and stored. Extract the energy release cycle of the current process from the energy consumption fingerprint spectrum, match the acceleration fluctuation pattern in the historical data of the same model based on the periodic change pattern of the energy release cycle, and output the matching result; Based on the matching results, the acceleration envelope of the transmission equipment is reconstructed, the critical threshold of acceleration triggered by the start and stop of the glue gun is marked, and the correlation constraint relationship between the rate of change of acceleration and the start and stop interval of the glue gun is established in the acceleration envelope. Based on the aforementioned correlation constraints, a prediction curve for the device's action beat, including acceleration triggering conditions, is generated.

[0010] Optionally, when the heat flux density at a specific coordinate point in the temperature field distribution exceeds a critical threshold, the heat radiation band is selectively blocked through the nanostructure deformation mechanism in the heat radiation attenuation channel, forming a heat shielding topology that matches the spatial layout of the production line, including: A dynamically modulated thermal radiation attenuation channel is constructed in the hot-pressing region. The inner surface of the thermal radiation attenuation channel is composited with a nanowire layer consisting of a highly ductile substrate and heat-absorbing particles arranged alternately. The rate of change of heat flux density at each coordinate point in the temperature field distribution is monitored in real time. When the increase in heat flux density exceeds the critical threshold within two consecutive process cycles, the preset local deformation command of the nanowire layer is activated. Based on the local deformation command and the geometry of the region with excessive heat flux density, a multi-directional tension adjustment command is sent to the stretching mechanism at the edge of the nanowire layer to change the arrangement density and orientation of the heat-absorbing particles in the nanowire layer. Simultaneously collect infrared radiation transmittance distribution data of the deformed nanowire layer to generate an attenuation intensity matrix corresponding to the spatial coordinates of the hot pressing area of ​​the production line. Based on the connectivity of the high attenuation regions in the attenuation intensity matrix, a heat shield topology is constructed that covers the core heat-generating area of ​​the hot pressing equipment and matches the spatial layout of the production line.

[0011] Optionally, an adaptive matching mechanism for the hot-pressing contact surface is triggered based on changes in the contour parameters of the door and window frame, dynamically coupling the curvature characteristics of the frame edge with the attenuation intensity of the thermal shielding topology to generate a hot-pressing pressure compensation gradient field, including: An optical contour scanning device is installed at the feeding point of the door and window frame to capture the distribution data of the radius of curvature of the edge of the door and window frame in real time, and the distribution data is converted into a contact surface pressure prediction model to identify the high stress contact coordinate points between the frame and the hot pressing equipment. The radiation attenuation intensity value corresponding to the high-stress contact coordinate point is extracted from the thermal shielding topology; based on the nonlinear relationship between the radius of curvature and the radiation attenuation intensity, the working surface of the hot pressing equipment is divided into a dynamic compensation sub-region. An exponential mapping relationship between the change in radius of curvature and the pressure compensation coefficient is established in each sub-region to generate a thermo-pressure compensation gradient field covering the entire contact surface.

[0012] Optionally, based on the spatial cumulative effect of the phase offset, the interval duration of the pulse spray command is dynamically adjusted at the curved joint of the glue gun to keep the glue coverage wavefront synchronized with the speed change trajectory of the transmission equipment, including: The spatial cumulative value of the phase offset in the direction of motion of the transmission device is measured, and a pulse interval adjustment parameter is generated based on the proportional relationship between the cumulative value and the extension length of the curved joint. In the glue gun spray path planning, the pulse interval adjustment parameter is converted into a pulse density distribution function, and a high-frequency pulse sequence is superimposed on the high-density area, while an equally spaced pulse sequence is assigned to the low-density area. The slope of the pulse density distribution function is dynamically corrected based on the real-time angular velocity change of the transmission equipment, so that the spatiotemporal distribution of the injection pulse matches the rate of curvature change of the speed change trajectory. During the formation of the adhesive-covered wavefront, the forming deviation at the edge of the adhesive seam is collected simultaneously. When the deviation exceeds the preset tolerance, the cumulative calculation weighting coefficient of the phase offset is adjusted in reverse, and the pulse interval adjustment parameter is regenerated.

[0013] Secondly, this application provides a novel automated production line optimization system for doors and windows, comprising: The data acquisition module is used to dynamically capture the power fluctuation characteristics of the power input point of the automated production line through the pressure sensing device, and combine it with the real-time monitoring data of the surface temperature field distribution of the hot pressing zone to establish an energy consumption fingerprint map associated with the door and window processing process. The generation module is used to extract the relationship between the acceleration of the transmission equipment and the start-stop duration of the glue gun from historical operating data based on the periodic variation pattern of the energy consumption fingerprint spectrum, and generate the equipment action cycle prediction curve. The execution module is used to construct a dynamically modulated thermal radiation attenuation channel in the hot-pressing area. When the heat flux density at a specific coordinate point in the temperature field distribution exceeds the critical threshold, the thermal radiation band is selectively blocked through the nanostructure deformation mechanism in the thermal radiation attenuation channel to form a thermal shielding topology that matches the spatial layout of the production line. The generation module is also used to trigger the adaptive matching mechanism of the hot-pressing contact surface according to the change of the contour parameters of the door and window frame, and dynamically couple the curvature features of the frame edge with the attenuation intensity of the heat shielding topology to generate a hot-pressing pressure compensation gradient field. The fusion module is used to fuse the phase difference between the predicted curve of the device's action beat and the gradient field of the hot pressing pressure compensation, synchronously drive the transmission device to execute the asymmetric speed change motion trajectory, and link the glue gun to generate a pulse width modulated glue coverage wavefront at the curved joint, so as to achieve the overall optimization of the thermodynamic behavior and mechanical transmission accuracy of the production line in the processing scenario of irregular door and window parts.

[0014] Thirdly, embodiments of this application provide a computing device, including a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are invoked and executed by the processing component to implement a novel door and window automated production line optimization method as described in the first aspect above.

[0015] Fourthly, embodiments of this application provide a computer storage medium storing a computer program, which, when executed by a computer, implements a novel door and window automated production line optimization method as described in the first aspect.

[0016] This application embodiment establishes an energy consumption fingerprint spectrum by dynamically capturing power fluctuation characteristics at the power input point and fusing real-time monitoring data of the temperature field in the hot pressing zone. This allows for precise correlation between processing steps and energy consumption characteristics, providing a multi-dimensional data modeling foundation for dynamic optimization of the production line. By extracting the relationship between the acceleration of the transmission equipment and the start-stop duration of the glue gun based on the periodic pattern of the energy consumption fingerprint spectrum, a predicted curve of the equipment's action cycle can be generated. This enables predictive and coordinated control of the transmission cycle and the hot pressing process, improving timing matching accuracy. Furthermore, by constructing a dynamically modulated nanostructured thermal radiation attenuation channel in the hot pressing zone, selectively blocking excessive heat flow bands to form a thermal shielding topology, it is possible to... Real-time suppression of sudden changes in local heat flux density ensures dynamic adaptation of temperature field distribution to production line spatial layout; by combining frame contour parameters to trigger an adaptive matching mechanism for hot-pressing contact surfaces, dynamic coupling of curvature characteristics and thermal shielding attenuation intensity generates a pressure compensation gradient field, which can eliminate hot-pressing stress concentration at the edges of irregular parts and ensure the uniformity of frame forming; by fusing the phase difference between the cycle prediction curve and the pressure compensation gradient field, the transmission equipment is driven to perform asymmetric speed change motion and the glue gun is linked to generate a pulse width modulated glue coverage wavefront, which can achieve spatiotemporal synchronous control of thermodynamic behavior and mechanical transmission, significantly improving the glue coverage accuracy and processing efficiency of irregular part joints.

[0017] Furthermore, the method generates a spatiotemporal mapping relationship by orthogonally projecting the acceleration time series and the thermal shield attenuation intensity distribution, thus dividing the transmission equipment into acceleration / deceleration intervals. In the acceleration interval, the angular velocity is dynamically increased to match the pressure distribution in the high attenuation region; in the deceleration interval, the angular velocity is synchronously decreased and a high-frequency pulse spray from the glue gun is triggered. The glue pulse interval is dynamically adjusted based on the spatial cumulative effect of the phase offset, synchronizing the glue wavefront with the speed change trajectory. Its technical advantages are: through spatiotemporally decoupled acceleration-attenuation intensity coordinated control, it achieves three-dimensional dynamic optimization of hot-pressing pressure compensation, transmission cycle time, and glue coverage, effectively suppressing glue residue at curved joints and uneven thermal stress distribution, thereby improving the processing yield of irregularly shaped parts and production line stability.

[0018] These or other aspects of this application will become more apparent in the following description of the embodiments. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 A flowchart of a novel automated production line optimization method for doors and windows provided in this application is shown; Figure 2 A schematic diagram of a scenario illustrating a novel automated production line optimization method for doors and windows provided in this application is shown. Figure 3 This application provides a schematic diagram of the structure of a novel automated production line optimization system for doors and windows. Figure 4 A schematic diagram of the structure of a computing device provided in this application is shown. Detailed Implementation

[0021] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.

[0022] In some of the processes described in the specification, claims, and accompanying drawings of this application, multiple operations appearing in a specific order are included. However, it should be clearly understood that these operations may not be executed in the order they appear herein, or may be executed in parallel. The operation numbers, such as 101, 102, etc., are merely used to distinguish different operations and do not themselves represent any execution order. Furthermore, these processes may include more or fewer operations, and these operations may be executed sequentially or in parallel. It should be noted that the descriptions such as "first," "second," etc., in this document are used to distinguish different messages, devices, modules, etc., and do not represent a chronological order, nor do they limit "first" and "second" to different types.

[0023] In the field of automated processing of irregularly shaped door and window components, existing technologies rely on temperature control algorithms based on fixed threshold heat flux density alarms and pre-programmed transmission cycle coordination mechanisms, which have two major drawbacks: First, when the local heat flux density in the hot pressing zone changes abruptly, the static barrier mode of the traditional heat shield structure cannot adapt to the dynamic changes in the contour of the irregularly shaped component in real time, resulting in a lag in temperature field regulation and exacerbating the accumulation of thermal stress and the risk of frame warping; Second, the timing coupling between the acceleration of the transmission equipment and the start and stop actions of the glue gun is insufficient, especially at curved joints, where the glue coverage wavefront and the speed change trajectory are inaccurate, which can easily cause glue overflow or partial coverage loss, restricting the processing yield and energy efficiency ratio.

[0024] To address the aforementioned issues, this application proposes an optimization method for automated door and window production lines based on energy consumption fingerprinting and thermo-mechanical dynamic coupling. By capturing the power fluctuation characteristics of the power input point and the temperature field distribution in the hot-pressing zone in real time, an energy consumption fingerprinting pattern related to the process is constructed, driving the autonomous generation of the predicted cycle time curve for the transmission equipment. Simultaneously, a dynamically modulated nanostructured thermal radiation attenuation channel is introduced into the hot-pressing zone, combined with a pressure compensation gradient field triggered by the frame contour parameters, to achieve real-time matching between the thermal shielding topology and the curvature characteristics of irregularly shaped parts. By fusing the phase difference between the cycle time curve and the pressure field, the asymmetric speed-changing motion of the transmission equipment and the pulse width modulation spraying of the glue gun are synchronously driven, enabling spatiotemporal coordinated control of thermodynamic behavior and mechanical transmission accuracy. This method overcomes the limitations of traditional fixed threshold control and rigid timing programming. Through a dynamically decoupled thermo-mechanical coupling mechanism, it eliminates thermal deformation errors caused by sudden changes in heat flow and ensures the uniformity and process stability of the glue coverage at curved joints, significantly improving the yield of irregularly shaped parts and the energy efficiency of the production line.

[0025] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0026] Figure 1 A flowchart of a novel automated production line optimization method for doors and windows is provided in this application embodiment, as follows: Figure 1 As shown, the method includes: 101. By dynamically capturing the power fluctuation characteristics of the power input point of the automated production line through pressure sensing devices, and combining the real-time monitoring data of the surface temperature field distribution of the hot pressing zone, an energy consumption fingerprint spectrum associated with the door and window processing process is established. Optionally, step 101 may specifically include the following steps: 1011. Install an annular pressure sensor array on the power output shaft of the transmission equipment to capture the peak value and duration of power fluctuations in the transmission chain at the power input point of the automated production line, using the process cycle as the sampling unit. 1012. A temperature sensing grid is set up on the working surface of the hot pressing equipment to record the set of coordinate points in the surface temperature field distribution of the hot pressing zone that exceed the preset threshold in real time. 1013. Encode the power fluctuation peak value and duration into time-domain energy release characteristics according to the process stage; 1014. Convert the spatial distribution of the temperature field coordinate point set into a heat flux density topology model, and extract the heat radiation accumulation area of ​​each process stage; 1015. Based on the spatiotemporal correspondence between the energy release characteristics and the thermal radiation accumulation area, generate an energy consumption fingerprint map containing process identification codes.

[0027] In the above scheme, the annular pressure sensing array refers to a group of piezoelectric sensors evenly distributed circumferentially along the power output shaft of the transmission equipment, used to capture torque fluctuation data of the transmission chain; the temperature sensing grid refers to a matrix temperature monitoring network formed by high-density infrared sensors on the working surface of the hot press equipment, used to identify coordinate points exceeding a preset threshold; the time-domain energy release characteristics refer to a set of time-series parameters of power fluctuation peaks and durations encoded according to process stages; the heat flux density topology model refers to a spatial distribution model that converts temperature field coordinate points into thermal radiation accumulation areas through interpolation algorithms; and the energy consumption fingerprint spectrum refers to a multi-dimensional data model that integrates energy characteristics and thermal radiation distribution, and associates the energy consumption patterns of the processing stages through process identification codes.

[0028] In this embodiment, firstly, in step 1011, a ring-shaped pressure sensor array is installed on the power output shaft of the transmission equipment to collect torque signals in real time at a sampling rate of 1kHz. After being filtered by a sliding window, the signal is divided into process cycle windows, and the peak power fluctuation and duration of each stage are extracted. For example, the peak torque of 120 N·m lasting for 3 seconds is detected during the mold closing stage. Secondly, in step 1012, a temperature sensor grid is laid out on the working surface of the hot pressing equipment to filter coordinate points whose temperature exceeds the critical value of material thermal deformation in real time. For example, the set of high-temperature points in the central region of 220°C is marked. Next, in step 1013, the power fluctuation data is encoded into time-domain energy release feature vectors according to process stages such as mold closing, pressurization, and pressure holding. For example, the pressurization stage is encoded as a combination of 180 N·m and 8 seconds. Subsequently, in step 1014, the high-temperature coordinate points are converted into a heat flux density topology model, such as a continuous heat flux density distribution surface, using a Kriging interpolation algorithm to extract heat radiation accumulation areas with gradients exceeding 5°C / mm. For example, a circular high-temperature zone with a diameter of 30 mm is generated. Finally, in step 1015, the energy characteristics are spatiotemporally aligned with the thermal radiation region, for example, mapping the correlation between high torque and high temperature zone at the edge during the mold closing stage, to generate an energy consumption fingerprint map containing process identification codes.

[0029] In practical applications, in the automated processing of aluminum alloy doors and windows, step 1011 involves installing a ring-shaped pressure sensor array on the power output shaft of the transmission equipment to detect that the peak torque during the mold closing stage is 150 N·m and lasts for 4 seconds, while the peak torque during the pressurization stage rises to 220 N·m and lasts for 10 seconds; step 1012 uses a temperature sensor grid on the working surface of the hot pressing equipment to monitor that the temperature at the edge coordinate point X=20mm, Y=30mm reaches 235℃, exceeding the preset threshold and is marked as a set of high-temperature points; step 1013... The torque data is encoded into time-domain energy release characteristics according to the process stage: 150 N·m and 4 seconds for the mold closing stage, and 220 N·m and 10 seconds for the pressurization stage. In step 1014, the high-temperature coordinate points are converted into a heat flux density topology model using the Kriging interpolation algorithm, and the elongated heat radiation accumulation area at the edge of the hot-pressing zone is identified, with a gradient change rate of 6℃ / mm. In step 1015, an energy consumption fingerprint map is finally generated, showing a strong correlation between the high torque in the mold closing stage and the high-temperature area at the edge, providing data basis for the optimization of the heat shielding strategy.

[0030] This solution dynamically collects power fluctuation data at the power input point and temperature field data in the hot-pressing zone to construct an energy consumption fingerprint map associated with each process, achieving refined modeling of the energy consumption and thermodynamic behavior of the production line. This method can map the energy release patterns and heat radiation distribution characteristics of different processing stages in real time, providing high-precision data support for transmission cycle prediction and dynamic control of thermal shielding. It effectively solves the problems of control lag, thermal stress accumulation, and uneven adhesive coverage caused by fixed threshold monitoring in traditional solutions, significantly improving the processing accuracy of irregularly shaped parts and the energy efficiency of the production line, while ensuring process stability.

[0031] 102. Based on the periodic variation pattern of the energy consumption fingerprint spectrum, extract the relationship between the acceleration of the transmission equipment and the start-stop duration of the glue gun from historical operating data, and generate a prediction curve of the equipment's action cycle. Optionally, step 102 may specifically include the following steps: 1021. Store the acceleration time series data of transmission equipment and the statistical distribution of glue gun start-stop intervals in the historical operation data according to the door and window models; 1022. Extract the energy release cycle of the current process from the energy consumption fingerprint spectrum, match the acceleration fluctuation pattern in the historical data of the same model based on the periodic change pattern of the energy release cycle, and output the matching result; 1023. Reconstruct the acceleration envelope of the transmission equipment based on the matching results, mark the critical threshold of acceleration triggered by the start and stop of the glue gun, and establish the correlation constraint relationship between the rate of change of acceleration and the start and stop interval of the glue gun in the acceleration envelope; 1024. Generate the device action beat prediction curve containing acceleration triggering conditions based on the aforementioned correlation constraint relationship.

[0032] In the above scheme, acceleration time series data refers to the curve of acceleration of transmission equipment changing over time, which is stored according to door and window models; the statistical distribution of glue gun start-stop interval refers to the frequency and duration distribution of the trigger time interval of glue gun spraying command in historical data; energy release cycle refers to the periodic characteristics of energy consumption in the process stage extracted from the energy consumption fingerprint spectrum; acceleration envelope refers to the upper and lower boundary constraint curves generated by reconstructing the acceleration fluctuation mode; correlation constraint relationship refers to the mathematical mapping rule between the acceleration change rate and glue gun start-stop interval; equipment action cycle prediction curve refers to the set of timing control commands that integrate acceleration triggering conditions and glue gun start-stop logic.

[0033] In this embodiment, firstly, step 1021 involves classifying and storing the acceleration time-series data and statistical distribution of glue gun start-stop intervals from historical operating data according to door and window models. For example, the acceleration data of aluminum alloy doors and windows is classified and stored according to the mold closing and pressurization stages. Secondly, step 1022 involves extracting the energy release cycle of the current process from the energy consumption fingerprint spectrum, and matching the acceleration fluctuation pattern in the historical data of the same model based on the cycle change law. For example, a dynamic time warping algorithm is used to match the acceleration waveform of the mold closing stage and output the result with the highest similarity. Next, step 1023 involves reconstructing the acceleration envelope of the transmission equipment based on the matching result, marking the acceleration critical threshold for triggering glue gun start-stop, for example, marking on the envelope that glue gun spraying is triggered when the acceleration reaches 5 m / s², and establishing a correlation constraint relationship between the acceleration change rate and the start-stop interval. For example, for every 0.5 m / s³ increase in the acceleration change rate, the start-stop interval is shortened by 10%. Finally, in step 1024, a predicted curve of the device action cycle containing acceleration triggering conditions is generated based on the correlation constraint relationship. For example, it is defined that the glue gun is started when the acceleration exceeds 4m / s², and the interval duration is dynamically adjusted with the rate of change.

[0034] In practical applications, in the processing of PVC windows and doors, step 1021 stores the peak acceleration time sequence of the pressurization stage in the historical data of this model, which reaches 6 m / s², and the average start-stop interval of the glue gun is 2 seconds; step 1022 extracts the energy release cycle of the pressurization stage from the energy consumption fingerprint spectrum, which is 15 seconds, and matches the acceleration fluctuation pattern with a similarity of 90% in the historical data; step 1023 reconstructs the acceleration envelope and marks the glue gun trigger threshold as 5.5 m / s², and establishes a constraint relationship that the start-stop interval is shortened by 15% for every 0.6 m / s³ increase in the acceleration change rate; step 1024 generates a prediction curve, which specifies that the glue gun is started when the acceleration exceeds 5 m / s², and dynamically adjusts the spray interval according to the real-time change rate to achieve precise coordination between the cycle time and the hot pressing process.

[0035] This solution generates a predicted cycle time curve for equipment operation by dynamically matching historical data with energy consumption fingerprint maps, achieving adaptive and coordinated control of the transmission equipment acceleration and the glue gun start / stop logic. This method dynamically optimizes the transmission cycle time based on energy release cycle characteristics and ensures precise matching between glue gun spraying timing and mechanical actions through correlation constraints. It effectively solves problems such as uneven glue coverage and delayed transmission response caused by fixed-cycle programming in traditional solutions, significantly improving the consistency of irregular part processing and production line energy efficiency.

[0036] 103. A dynamically modulated thermal radiation attenuation channel is constructed in the hot-pressing area. When the heat flux density at a specific coordinate point in the temperature field distribution exceeds the critical threshold, the thermal radiation band is selectively blocked through the nanostructure deformation mechanism in the thermal radiation attenuation channel, forming a thermal shielding topology that matches the spatial layout of the production line. Optionally, step 103 may specifically include the following steps: 1031. A dynamically modulated thermal radiation attenuation channel is constructed in the hot-pressing region, wherein the inner surface of the thermal radiation attenuation channel is composed of a nanowire layer formed by a high-ductility substrate and heat-absorbing particles arranged alternately. 1032. Real-time monitoring of the rate of change of heat flux density at each coordinate point in the temperature field distribution. When the increase in heat flux density exceeds the critical threshold within two consecutive process cycles, the preset local deformation command of the nanowire layer is activated. 1033. Based on the local deformation command and the geometry of the region with excessive heat flux density, a multi-directional tension adjustment command is sent to the stretching mechanism at the edge of the nanowire layer to change the arrangement density and orientation of the heat-absorbing particles in the nanowire layer. 1034. Synchronously collect infrared radiation transmittance distribution data of the deformed nanowire layer and generate an attenuation intensity matrix corresponding to the spatial coordinates of the hot pressing area of ​​the production line. 1035. Based on the connectivity of the high attenuation region in the attenuation intensity matrix, construct a heat shield topology that covers the core heat-generating area of ​​the hot pressing equipment and matches the spatial layout of the production line.

[0037] In the above scheme, the thermal radiation attenuation channel refers to a deformable nanostructure layer constructed in the hot-pressing region, formed by the staggered arrangement of a highly ductile substrate and heat-absorbing particles, used to selectively block specific infrared radiation bands; the nanowire layer refers to a functional thin film composed of metal oxide nanowires and a thermoplastic polymer matrix, whose heat-absorbing particle density can be dynamically adjusted with mechanical tension; the local deformation command refers to the nanolayer structure deformation control signal triggered when the increase in heat flux density exceeds a critical threshold; the multi-directional tension adjustment command refers to the driving command that applies multi-dimensional mechanical stress through a stretching mechanism to change the arrangement direction of heat-absorbing particles in the nanowire layer; the attenuation intensity matrix refers to the spatial distribution data matrix of infrared radiation transmittance in each region of the deformed nanowire layer; and the thermal shielding topology refers to a thermal radiation shielding network that matches the production line layout, generated based on the connectivity of high attenuation regions in the attenuation intensity matrix.

[0038] In this embodiment, firstly, a dynamically modulated heat radiation attenuation channel is constructed in the hot-pressing region in step 1031. The inner surface of the heat radiation attenuation channel is composited with a nanowire layer composed of a highly ductile substrate and heat-absorbing particles arranged alternately. For example, a polyimide film is used as the substrate, and silica nanoparticles are embedded to form a stretchable functional layer. Secondly, in step 1032, the rate of change of heat flux density at each coordinate point in the temperature field distribution is monitored in real time. When the increase in heat flux density in a specific area exceeds a critical threshold, such as 10 W / m²·s, a preset local deformation command for the nanowire layer is activated. Then, in step 1033, based on the local deformation command and the geometry of the area with excessive heat flux density, a multi-directional tension adjustment command is sent to the stretching mechanism at the edge of the nanowire layer. For example, bidirectional stretching along the X and Y axes is applied to the rectangular high-temperature area, increasing the heat-absorbing particle density from 1000 particles / mm² to 1500 particles / mm² and oriented along the stretching direction. Subsequently, in step 1034, infrared spectrometers are used to synchronously collect radiation transmittance distribution data of the deformed nanowire layer, generating an attenuation intensity matrix corresponding to the spatial coordinates of the hot-pressing area of ​​the production line. For example, the transmittance of high-attenuation areas in the matrix is ​​less than 20%. Finally, in step 1035, based on the connectivity of high-attenuation areas in the attenuation intensity matrix, a heat shield topology covering the core heating area of ​​the hot-pressing equipment and matching the spatial layout of the production line is constructed. For example, adjacent high-attenuation areas are connected into a ring-shaped shielding strip, precisely aligned with the motion trajectory of the drive shaft.

[0039] In practical applications, in the hot pressing process of aluminum alloy doors and windows, step 1031 involves constructing a nanowire layer by combining polyetheretherketone substrate with silicon carbide nanoparticles, forming a dynamically modulated heat radiation attenuation channel; step 1032 involves real-time monitoring of the heat flux density increase at the center coordinate point of the hot pressing zone reaching 15 W / m²·s, triggering a deformation command after exceeding the threshold for two consecutive cycles; step 1033 involves applying a radial stretching command to this area, increasing the heat-absorbing particle density from 800 particles / mm² to 1200 particles / mm² and arranging them radially; step 1034 involves using an infrared spectrometer to measure that the infrared radiation transmittance of the central area after deformation drops to 18%, generating a spatial attenuation intensity matrix; and step 1035 involves connecting the high attenuation areas into a ring-shaped heat shield based on the matrix data, precisely covering the core heating area below the drive shaft, perfectly matching the production line layout.

[0040] This solution achieves adaptive construction of the thermal shielding topology by dynamically modulating the nanostructure deformation of the thermal radiation attenuation channel. This method selectively blocks excessive radiation bands based on real-time changes in heat flux density. Through multi-directional tension adjustment, it precisely controls the density and orientation of heat-absorbing particles, forming a thermal shielding network that matches the production line layout. This effectively suppresses thermal deformation and stress accumulation caused by sudden changes in local heat flux, significantly improving the temperature field stability and machining accuracy of irregularly shaped parts in the hot pressing process, while simultaneously reducing energy consumption.

[0041] 104. Based on the changes in the contour parameters of the door and window frame, an adaptive matching mechanism for the hot-pressing contact surface is triggered to dynamically couple the curvature characteristics of the frame edge with the attenuation intensity of the thermal shielding topology to generate a hot-pressing pressure compensation gradient field. Optionally, step 104 may specifically include the following steps: 1041. Install an optical contour scanning device at the feeding point of the door and window frame to capture the distribution data of the radius of curvature of the edge of the door and window frame in real time, and convert the distribution data into a contact surface pressure prediction model to identify the high stress contact coordinate points between the frame and the hot pressing equipment. 1042. Extract the radiation attenuation intensity value corresponding to the high-stress contact coordinate point from the thermal shielding topology; based on the nonlinear relationship between the radius of curvature and the radiation attenuation intensity, divide the working surface of the hot pressing equipment into a dynamic compensation sub-region; 1043. Establish an exponential mapping relationship between the change in radius of curvature and the pressure compensation coefficient in each sub-region to generate a thermo-pressure compensation gradient field covering the entire contact surface.

[0042] In the above scheme, the optical contour scanning device refers to a line laser or structured light sensor installed at the material feeding point of the door and window frame, used to capture the distribution data of the radius of curvature of the frame edge in real time; the contact surface pressure prediction model refers to a mathematical model trained based on machine learning algorithms, which maps the curvature distribution to the pressure prediction value of the hot-pressing contact surface; the high-stress contact coordinate point refers to the spatial location in the contact area between the frame and the hot-pressing equipment where the pressure exceeds the material yield threshold, as output by the model; the dynamic compensation sub-region refers to the hot-pressing working surface partition divided according to the nonlinear relationship between curvature and thermal shielding attenuation intensity; the exponential mapping relationship refers to the mathematical association rule established by fitting the nonlinear function of curvature change and pressure compensation coefficient.

[0043] In this embodiment, firstly, in step 1041, an optical contour scanning device is installed at the material feeding point of the door and window frame to scan the distribution of the curvature radius of the frame edge in real time. For example, a line laser scanner is used to acquire curvature data at a resolution of 0.1 mm, and the distribution data is converted into a contact surface pressure prediction model using a random forest algorithm to identify high-stress contact coordinate points, such as corner areas with a curvature radius of less than 5 mm. Secondly, in step 1042, the radiation attenuation intensity value corresponding to the high-stress contact coordinate points is extracted from the thermal shielding topology. For example, the attenuation intensity in the corner area is 35 dB. Combining the nonlinear relationship between the curvature radius and the attenuation intensity, the K-means clustering algorithm is used to divide the hot-pressing working surface into dynamically compensated sub-regions. For example, the attenuation intensity of 20-40 dB is associated with the curvature radius of 3-8 mm to divide it into sub-region A. Finally, in step 1043, an exponential mapping relationship between the change in radius of curvature and the pressure compensation coefficient is established in each sub-region. For example, in sub-region A, the radius of curvature r and the compensation coefficient k satisfy k=0.5e^(-0.2r), generating a thermo-pressure compensation gradient field covering the entire contact surface. For example, the compensation coefficient in the corner region is increased to 1.8 times to offset local stress concentration.

[0044] In practical applications, in the hot pressing process of PVC windows and doors, step 1041 uses an optical contour scanning device to capture the distribution data of the curvature radius of the frame edge in real time, identifying five high-stress contact coordinate points with a curvature radius of less than 6mm; step 1042 extracts the radiation attenuation intensity value of 30-45dB corresponding to these coordinate points from the thermal shielding topology, and divides the hot pressing working surface into three dynamic compensation sub-regions based on the nonlinear relationship between curvature and attenuation intensity; step 1043 establishes an exponential mapping relationship k=0.6e^(-0.15r) between the curvature radius r and the pressure compensation coefficient k in each sub-region, generating a hot pressing pressure compensation gradient field covering the contact surface, which significantly improves the compensation coefficient in the 3mm curvature radius region, effectively offsetting local stress concentration.

[0045] This solution generates an adaptive thermo-pressure compensation gradient field by dynamically coupling the frame contour parameters with the thermal shielding attenuation intensity, enabling precise control of the pressure on the contact surface of irregularly shaped components. This method dynamically divides the compensation area based on real-time curvature changes and thermal radiation shielding status, and optimizes the local pressure distribution through nonlinear mapping relationships. It effectively solves problems such as frame warping and uneven adhesive layer caused by traditional rigid pressurization methods, significantly improving the surface quality and structural strength of irregularly shaped door and window components, while reducing equipment energy consumption and the risk of thermal stress accumulation.

[0046] 105. By integrating the phase difference between the predicted curve of the device's action rhythm and the gradient field of the hot pressing pressure compensation, the transmission device is synchronously driven to execute an asymmetric speed change motion trajectory, and the glue gun is linked to generate a pulse width modulated glue coverage wavefront at the curved joint, thereby achieving overall optimization of the thermodynamic behavior and mechanical transmission accuracy of the production line in the processing scenario of irregular door and window parts.

[0047] Optionally, step 105 may specifically include the following steps: 1051. The acceleration time series in the predicted cycle curve of the equipment action is orthogonally projected onto the spatial attenuation intensity distribution of the hot-pressing pressure compensation gradient field to generate a spatiotemporal mapping relationship. 1052. Based on the phase offset between the acceleration extremum and the attenuation intensity peak in the spatiotemporal mapping relationship, divide the acceleration and deceleration intervals of the transmission equipment. 1053. Dynamically increase the angular velocity of the transmission equipment in the acceleration zone so that the pressure distribution of the hot-pressed contact surface coincides with the high attenuation region of the compensation gradient field; synchronously decrease the angular velocity of the transmission equipment in the deceleration zone and trigger the glue gun to generate a high-frequency pulse spray command at the turning point of the curved joint. 1054. Based on the spatial cumulative effect of the phase offset, the interval of the pulse spray command is dynamically adjusted at the curved joint of the glue gun to keep the glue covering the wavefront synchronized with the speed change trajectory of the transmission equipment.

[0048] Step 1054 may specifically include the following processes: measuring the spatial cumulative value of the phase offset in the direction of motion of the transmission equipment; generating pulse interval adjustment parameters based on the ratio of the cumulative value to the extension length of the curved joint; in the glue gun spraying path planning, converting the pulse interval adjustment parameters into a pulse density distribution function, superimposing high-frequency pulse sequences on high-density areas, and allocating equally spaced pulse sequences to low-density areas; dynamically correcting the slope of the pulse density distribution function based on the real-time angular velocity change of the transmission equipment, so that the spatiotemporal distribution of the spraying pulse matches the rate of curvature change of the speed change trajectory; during the formation of the glue-covered wavefront, synchronously collecting the forming deviation of the glue seam edge; when the deviation exceeds the preset tolerance, adjusting the cumulative calculation weight coefficient of the phase offset in the reverse direction, and regenerating the pulse interval adjustment parameters.

[0049] In the above scheme, the spatiotemporal mapping relationship refers to the spatiotemporal correlation model generated by orthogonally projecting the equipment acceleration time series and the spatial attenuation intensity distribution of the hot-pressing pressure compensation gradient field; the phase offset refers to the degree of misalignment between the acceleration extremum and the attenuation intensity peak in time or space; the pulse density distribution function refers to the mathematical function that dynamically adjusts the glue gun pulse spray interval based on the cumulative phase offset value; the forming deviation refers to the geometric offset between the actual forming contour of the glue seam edge and the theoretical path; and the cumulative calculation weight coefficient refers to the adjustment parameter that dynamically corrects the cumulative phase offset value based on the forming deviation.

[0050] In this embodiment, firstly, step 1051 involves orthogonally projecting the acceleration time series in the predicted device action beat curve with the spatial attenuation intensity distribution of the hot-pressing pressure compensation gradient field. For example, a tensor decomposition algorithm is used to project the acceleration data and attenuation intensity matrix onto the same spatiotemporal coordinate system, generating a mapping table. Secondly, step 1052 involves dividing the transmission device into acceleration and deceleration intervals based on the phase offset between the acceleration extremum and the attenuation intensity peak in the spatiotemporal mapping relationship. For example, if the acceleration peak lags behind the attenuation intensity peak by 0.5 seconds, the acceleration interval is defined as having a phase offset of less than 0.2 seconds, and the deceleration interval is defined as having a phase offset of more than 0.2 seconds. Next, step 1053 involves dynamically increasing the angular velocity of the transmission device within the acceleration interval, for example, from 10 rad / s to 15 rad / s, so that the pressure distribution on the hot-pressing contact surface coincides with the high attenuation region of the compensation gradient field. Simultaneously, within the deceleration interval, the angular velocity is synchronously reduced to 8 rad / s, and a high-frequency pulse spray command is triggered at the inflection point of the curved joint of the glue gun, for example, spraying once every 0.1 seconds. Finally, in step 1054, based on the spatial cumulative effect of the phase offset, the cumulative value of the phase offset along the transmission direction is measured, for example, 0.02 seconds per millimeter, to generate pulse interval adjustment parameters. The parameters are converted into a pulse density function k=0.8e^-0.1d, and a high-frequency pulse sequence is superimposed on high-density areas, for example, spraying once every 0.05 seconds in areas with a curvature change rate greater than 0.5mm⁻¹. The slope of the function is dynamically corrected according to the real-time angular velocity change, for example, when the angular velocity decreases by 10%, the slope coefficient is adjusted from 0.1 to 0.12. If the glue seam deviation exceeds 0.15mm, the weighting coefficient is adjusted in reverse and the pulse parameters are regenerated.

[0051] In practical applications, in the aluminum alloy door and window processing scenario, step 1051 generates a spatiotemporal mapping relationship table through orthogonal projection, showing that the peak acceleration lags behind the peak attenuation intensity of 0.3 seconds at the edge of the hot-pressing zone; step 1052 divides the acceleration interval into a lag of 0-0.2 seconds and a deceleration interval of 0.2-0.5 seconds; step 1053 increases the angular velocity to 12 rad / s in the acceleration interval to match the pressure distribution with the high attenuation zone, and reduces it to 7 rad / s in the deceleration interval and triggers the glue gun to spray once every 0.08 seconds at the corner; step 1054 generates a pulse density function k=0.7e^(-0.12d) based on the cumulative offset, dynamically adjusts the spray interval, and when the glue seam deviation is detected to exceed 0.15mm, corrects the weighting coefficient from 0.5 to 0.3, and recalculates the pulse parameters to synchronize the glue coverage with the trajectory.

[0052] This solution achieves precise matching between transmission speed change trajectory and adhesive coverage by integrating the spatiotemporal coupling control of equipment action cycle and hot-pressing pressure compensation field. This method dynamically divides acceleration / deceleration intervals based on phase shift and adaptively adjusts the adhesive gun spraying logic through a pulse density function, thus optimizing thermodynamic behavior and mechanical transmission precision. This effectively solves problems such as adhesive overflow, uneven joint coverage, and thermal stress interference in the processing of irregularly shaped parts, significantly improving surface quality and production line efficiency.

[0053] Figure 2 This application provides a schematic diagram of a scenario for optimizing a novel automated door and window production line, as illustrated in the embodiments of this application. Figure 2 As shown, a complete embodiment of steps 101-105 includes: In the hot pressing process of aluminum alloy doors and windows, step 101 involves installing a ring-shaped pressure sensor array on the power output shaft of the transmission equipment to capture the peak torque of 150 N·m for 5 seconds during the mold closing stage and the peak torque of 220 N·m for 12 seconds during the pressurization stage. At the same time, a temperature sensor grid is set up on the working surface of the hot pressing equipment to detect that the temperature at the center coordinate point reaches 235℃ and the temperature at the edge area reaches 210℃. The power fluctuation data is encoded into time-domain energy release characteristics according to the process: 150 and 5 for the mold closing stage and 220 and 12 for the pressurization stage. Combined with the high temperature point set, a heat flux density topology model is generated by the Kriging interpolation algorithm, and the central circular heat radiation accumulation area is extracted. Finally, an energy consumption fingerprint spectrum is constructed to show a strong correlation between the high torque during the pressurization stage and the central high temperature area. Step 102 retrieves the historical data of the peak acceleration time sequence of 6 m / s² during the pressurization stage of aluminum alloy doors and windows and the average start-stop interval of 2 seconds for the glue gun. Based on the 15-second energy release cycle extracted from the energy consumption spectrum, an acceleration fluctuation pattern with 90% similarity is matched, the acceleration envelope is reconstructed, and the glue gun trigger threshold of 5 m / s² is marked. After establishing the constraint relationship between the acceleration change rate and the start-stop interval, a prediction curve is generated. The glue gun is triggered when the acceleration exceeds 4.5 m / s², and the interval is dynamically adjusted. Step 103 constructs a nanowire layer composed of polyetheretherketone substrate and silicon carbide nanoparticles in the hot pressing zone. After detecting an increase in central heat flux density of 18 W / m²·s, a deformation command is triggered. The particle density is increased from 800 to 1200 particles / mm² through radial stretching. Simultaneously, the infrared transmittance drops to 18% after deformation, and an annular heat shield is generated to cover the high-temperature area below the drive shaft. Step 104: Using an optical contour scanning device, data on the distribution of the frame edge curvature radius from 3mm to 8mm is captured. Five high-stress contact points are identified, and the corresponding thermal shielding attenuation intensity of 35-45dB is extracted. After dividing the frame into three dynamic compensation sub-regions, an exponential relationship k=0.7e^-0.1r between the curvature radius and the pressure compensation coefficient is established, thus increasing the compensation coefficient of the 3mm curvature region to twice the original value. Step 105: A tensor decomposition algorithm is used to orthogonally project the acceleration time series and the attenuation intensity matrix to generate a spatiotemporal mapping table. Based on the 0.3-second lag between the acceleration peak and the attenuation intensity, acceleration and deceleration intervals are divided. In the acceleration interval, the angular velocity is increased to 12rad / s to match the pressure in the high attenuation interval. In the deceleration interval, the angular velocity is reduced to 7rad / s to trigger the glue gun to spray every 0.08 seconds. The spray interval is dynamically adjusted based on the accumulated phase shift pulse density function k=0.8e^-0.1d. When a glue seam deviation of 0.15mm is detected, the weighting coefficient is reversed to resynchronize the glue wavefront, ultimately achieving overall optimization of thermodynamic behavior and mechanical transmission.

[0054] This solution optimizes the entire process of processing irregularly shaped door and window components by constructing a real-time energy consumption fingerprint map, dynamically generating equipment cycle time prediction curves, adaptively modulating the thermal shielding topology, accurately generating a pressure compensation gradient field, and implementing thermo-mechanical coordinated control. Based on the dynamic coupling of thermodynamic behavior and mechanical transmission precision, it significantly improves the stability of the temperature field in the hot-pressing zone and the synchronization of the transmission trajectory, effectively suppressing frame warping and adhesive overflow caused by thermal stress accumulation. Simultaneously, pulse width modulation of the adhesive coverage wavefront ensures the uniformity and sealing of curved joints, ultimately achieving comprehensive improvements in production line energy efficiency and processing yield.

[0055] Figure 3 This application provides a schematic diagram of the structure of a novel automated door and window production line optimization system, as shown in the embodiment of the present application. Figure 2 As shown, the system includes: The data acquisition module 31 is used to dynamically capture the power fluctuation characteristics of the power input point of the automated production line through the pressure sensing device, and combine the real-time monitoring data of the surface temperature field distribution of the hot pressing zone to establish an energy consumption fingerprint map associated with the door and window processing process. The generation module 32 is used to extract the relationship between the acceleration of the transmission equipment and the start-stop duration of the glue gun from historical operating data based on the periodic change pattern of the energy consumption fingerprint spectrum, and generate a prediction curve of the equipment action cycle. Execution module 33 is used to construct a dynamically modulated thermal radiation attenuation channel in the hot-pressing area. When the heat flux density at a specific coordinate point in the temperature field distribution exceeds the critical threshold, the thermal radiation band is selectively blocked through the nanostructure deformation mechanism in the thermal radiation attenuation channel to form a thermal shielding topology that matches the spatial layout of the production line. The generation module 32 is also used to trigger the adaptive matching mechanism of the hot-pressing contact surface according to the change of the contour parameters of the door and window frame, and dynamically couple the curvature features of the frame edge with the attenuation intensity of the heat shielding topology to generate a hot-pressing pressure compensation gradient field. The fusion module 34 is used to fuse the phase difference between the predicted curve of the device's action beat and the gradient field of the hot pressing pressure compensation, synchronously drive the transmission device to execute the asymmetric speed change motion trajectory, and link the glue gun to generate a pulse width modulated glue coverage wavefront at the curved joint, so as to achieve the overall optimization of the thermodynamic behavior and mechanical transmission accuracy of the production line in the processing scenario of irregular door and window parts.

[0056] Figure 3 The novel automated production line optimization system for doors and windows described above can perform... Figure 1The implementation principle and technical effects of the novel automated door and window production line optimization method described in the illustrated embodiment will not be repeated here. The specific methods by which each module and unit of the novel automated door and window production line optimization system in the above embodiments are performed have been described in detail in the embodiments related to this method, and will not be elaborated upon here.

[0057] In one possible design, Figure 3 The novel automated production line optimization system for doors and windows shown in the embodiment can be implemented as a computing device, such as... Figure 3 As shown, the computing device may include a storage component 41 and a processing component 42; The storage component 41 stores one or more computer instructions, wherein the one or more computer instructions are invoked and executed by the processing component 42.

[0058] The processing component 42 is used for the above Figure 1 The embodiment describes a novel optimization method for automated door and window production lines.

[0059] The processing component 42 may include one or more processors to execute computer instructions to complete all or part of the steps in the above-described method. Alternatively, the processing component may be implemented as one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components to perform the above-described method.

[0060] Storage component 41 is configured to store various types of data to support operations at the terminal. The storage component can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0061] Of course, computing devices may also include other components, such as input / output interfaces, display components, communication components, etc.

[0062] Input / output interfaces provide interfaces between processing components and peripheral interface modules, which can be output devices, input devices, etc.

[0063] The communication components are configured to facilitate wired or wireless communication between computing devices and other devices.

[0064] The computing device can be a physical device or an elastic computing host provided by a cloud computing platform. In this case, the computing device can refer to a cloud server, and the aforementioned processing components, storage components, etc., can be basic server resources rented or purchased from the cloud computing platform.

[0065] This application also provides a computer storage medium storing a computer program, which, when executed by a computer, can perform the above-described functions. Figure 1 The embodiment shown illustrates a novel optimization method for automated door and window production lines.

[0066] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0067] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0068] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0069] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A novel optimization method for automated door and window production lines, characterized in that, include: By dynamically capturing the power fluctuation characteristics of the power input point of the automated production line through pressure sensing devices, and combining the real-time monitoring data of the surface temperature field distribution of the hot pressing zone, an energy consumption fingerprint map associated with the door and window processing process is established. Based on the periodic variation pattern of the energy consumption fingerprint spectrum, the relationship between the acceleration of the transmission equipment and the start-stop duration of the glue gun is extracted from historical operating data to generate a prediction curve of the equipment's action cycle. A dynamically modulated thermal radiation attenuation channel is constructed in the hot-pressing region. When the heat flux density at a specific coordinate point in the temperature field distribution exceeds the critical threshold, the thermal radiation band is selectively blocked through the nanostructure deformation mechanism in the thermal radiation attenuation channel, forming a thermal shielding topology that matches the spatial layout of the production line. The adaptive matching mechanism of the hot-pressing contact surface is triggered by the change of the contour parameters of the door and window frame, and the curvature characteristics of the frame edge are dynamically coupled with the attenuation intensity of the heat shielding topology to generate a hot-pressing pressure compensation gradient field. By integrating the phase difference between the predicted motion cycle curve of the equipment and the compensating gradient field of the hot pressing pressure, the transmission equipment is synchronously driven to execute an asymmetric speed change motion trajectory, and the glue gun is linked to generate a pulse width modulated glue coverage wavefront at the curved joint, thereby achieving overall optimization of the thermodynamic behavior and mechanical transmission accuracy of the production line in the processing scenario of irregular door and window parts.

2. The method according to claim 1, characterized in that, By integrating the phase difference between the predicted motion cycle curve of the device and the compensating gradient field of the hot pressing pressure, the transmission device is synchronously driven to execute an asymmetric speed-changing motion trajectory, and the glue gun is linked to generate a pulse-width modulated glue coverage wavefront at the curved joint, including: The acceleration time series in the predicted equipment action beat curve is orthogonally projected onto the spatial attenuation intensity distribution of the hot-pressing pressure compensation gradient field to generate a spatiotemporal mapping relationship. Based on the phase offset between the acceleration extremum and the attenuation intensity peak in the spatiotemporal mapping relationship, the acceleration and deceleration intervals of the transmission equipment are divided. Within the acceleration zone, the angular velocity of the transmission equipment is dynamically increased so that the pressure distribution on the hot-pressed contact surface coincides with the high attenuation region of the compensation gradient field; within the deceleration zone, the angular velocity of the transmission equipment is simultaneously reduced, and the glue gun is triggered to generate a high-frequency pulse spray command at the turning point of the curved joint. Based on the spatial cumulative effect of the phase offset, the interval of the pulse spray command is dynamically adjusted at the curved joint of the glue gun to keep the glue covering the wavefront synchronized with the speed change trajectory of the transmission equipment.

3. The method according to claim 1, characterized in that, By dynamically capturing power fluctuation characteristics at the power input points of automated production lines using pressure sensing devices, and combining this with real-time monitoring data of the surface temperature field distribution in the hot pressing zone, an energy consumption fingerprint map associated with door and window processing steps is established, including: A ring-shaped pressure sensor array is installed on the power output shaft of the transmission equipment to capture the peak value and duration of power fluctuations in the transmission chain at the power input point of the automated production line, with the process cycle as the sampling unit. A temperature sensing grid is set up on the working surface of the hot pressing equipment to record the set of coordinate points in the surface temperature field distribution of the hot pressing zone that exceed the preset threshold in real time. The peak power fluctuation and its duration are encoded as time-domain energy release characteristics according to the process stage; The spatial distribution of the temperature field coordinate point set is converted into a heat flux density topology model to extract the heat radiation accumulation area of ​​each process stage. Based on the spatiotemporal correspondence between the energy release characteristics and the thermal radiation accumulation area, an energy consumption fingerprint map containing process identification codes is generated.

4. The method according to claim 1, characterized in that, Based on the periodic variation pattern of the energy consumption fingerprint spectrum, the relationship between the acceleration of the transmission equipment and the start-stop duration of the glue gun is extracted from historical operating data to generate a predicted equipment action cycle curve, including: The historical operation data is stored in the form of door and window models, and the statistical distribution of acceleration time series data of transmission equipment and start-stop interval of glue gun are classified and stored. Extract the energy release cycle of the current process from the energy consumption fingerprint spectrum, match the acceleration fluctuation pattern in the historical data of the same model based on the periodic change pattern of the energy release cycle, and output the matching result; Based on the matching results, the acceleration envelope of the transmission equipment is reconstructed, the critical threshold of acceleration triggered by the start and stop of the glue gun is marked, and the correlation constraint relationship between the rate of change of acceleration and the start and stop interval of the glue gun is established in the acceleration envelope. Based on the aforementioned correlation constraints, a prediction curve for the device's action beat, including acceleration triggering conditions, is generated.

5. The method according to claim 1, characterized in that, When the heat flux density at a specific coordinate point in the temperature field distribution exceeds a critical threshold, the heat radiation band is selectively blocked through the nanostructure deformation mechanism in the heat radiation attenuation channel, forming a heat shielding topology that matches the spatial layout of the production line, including: A dynamically modulated thermal radiation attenuation channel is constructed in the hot-pressing region. The inner surface of the thermal radiation attenuation channel is composited with a nanowire layer consisting of a highly ductile substrate and heat-absorbing particles arranged alternately. The rate of change of heat flux density at each coordinate point in the temperature field distribution is monitored in real time. When the increase in heat flux density exceeds the critical threshold within two consecutive process cycles, the preset local deformation command of the nanowire layer is activated. Based on the local deformation command and the geometry of the region with excessive heat flux density, a multi-directional tension adjustment command is sent to the stretching mechanism at the edge of the nanowire layer to change the arrangement density and orientation of the heat-absorbing particles in the nanowire layer. Simultaneously collect infrared radiation transmittance distribution data of the deformed nanowire layer to generate an attenuation intensity matrix corresponding to the spatial coordinates of the hot pressing area of ​​the production line. Based on the connectivity of the high attenuation regions in the attenuation intensity matrix, a heat shield topology is constructed that covers the core heat-generating area of ​​the hot pressing equipment and matches the spatial layout of the production line.

6. The method according to claim 1, characterized in that, Based on changes in the contour parameters of the door and window frame, an adaptive matching mechanism for the hot-pressing contact surface is triggered. This mechanism dynamically couples the curvature characteristics of the frame edge with the attenuation intensity of the thermal shielding topology to generate a hot-pressing pressure compensation gradient field, including: An optical contour scanning device is installed at the feeding point of the door and window frame to capture the distribution data of the radius of curvature of the edge of the door and window frame in real time, and the distribution data is converted into a contact surface pressure prediction model to identify the high stress contact coordinate points between the frame and the hot pressing equipment. The radiation attenuation intensity value corresponding to the high-stress contact coordinate point is extracted from the thermal shielding topology; based on the nonlinear relationship between the radius of curvature and the radiation attenuation intensity, the working surface of the hot pressing equipment is divided into a dynamic compensation sub-region. An exponential mapping relationship between the change in radius of curvature and the pressure compensation coefficient is established in each sub-region to generate a thermo-pressure compensation gradient field covering the entire contact surface.

7. The method according to claim 2, characterized in that, Based on the spatial cumulative effect of the phase offset, the interval duration of the pulse spray command is dynamically adjusted at the curved joint of the glue gun to keep the glue coverage wavefront synchronized with the speed change trajectory of the transmission equipment, including: The spatial cumulative value of the phase offset in the direction of motion of the transmission device is measured, and a pulse interval adjustment parameter is generated based on the proportional relationship between the cumulative value and the extension length of the curved joint. In the glue gun spray path planning, the pulse interval adjustment parameter is converted into a pulse density distribution function, and a high-frequency pulse sequence is superimposed on the high-density area, while an equally spaced pulse sequence is assigned to the low-density area. The slope of the pulse density distribution function is dynamically corrected based on the real-time angular velocity change of the transmission equipment, so that the spatiotemporal distribution of the injection pulse matches the rate of curvature change of the speed change trajectory. During the formation of the adhesive-covered wavefront, the forming deviation at the edge of the adhesive seam is collected simultaneously. When the deviation exceeds the preset tolerance, the cumulative calculation weighting coefficient of the phase offset is adjusted in reverse, and the pulse interval adjustment parameter is regenerated.

8. A novel automated production line optimization system for doors and windows, characterized in that, include: By dynamically capturing the power fluctuation characteristics of the power input point of the automated production line through pressure sensing devices, and combining the real-time monitoring data of the surface temperature field distribution of the hot pressing zone, an energy consumption fingerprint map associated with the door and window processing process is established. Based on the periodic variation pattern of the energy consumption fingerprint spectrum, the relationship between the acceleration of the transmission equipment and the start-stop duration of the glue gun is extracted from historical operating data to generate a prediction curve of the equipment's action cycle. A dynamically modulated thermal radiation attenuation channel is constructed in the hot-pressing region. When the heat flux density at a specific coordinate point in the temperature field distribution exceeds the critical threshold, the thermal radiation band is selectively blocked through the nanostructure deformation mechanism in the thermal radiation attenuation channel, forming a thermal shielding topology that matches the spatial layout of the production line. The adaptive matching mechanism of the hot-pressing contact surface is triggered by the change of the contour parameters of the door and window frame, and the curvature characteristics of the frame edge are dynamically coupled with the attenuation intensity of the heat shielding topology to generate a hot-pressing pressure compensation gradient field. By integrating the phase difference between the predicted motion cycle curve of the equipment and the compensating gradient field of the hot pressing pressure, the transmission equipment is synchronously driven to execute an asymmetric speed change motion trajectory, and the glue gun is linked to generate a pulse width modulated glue coverage wavefront at the curved joint, thereby achieving overall optimization of the thermodynamic behavior and mechanical transmission accuracy of the production line in the processing scenario of irregular door and window parts.

9. A computing device, characterized in that, It includes a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are invoked and executed by the processing component to implement a novel door and window automated production line optimization method as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that, The device contains a computer program that, when executed by a computer, implements a novel method for optimizing an automated door and window production line as described in any one of claims 1 to 7.

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