Door lock multi-face oil injection feedback control method and system based on online detection

Abstract

The invention discloses a door lock multi-face oil injection feedback control method and system based on online detection, and relates to the technical field of intelligent control. The method comprises the steps that a door lock oil injection scene is collected, and a door lock structure and oil injection configuration are determined; according to a door lock structure and oil injection configuration, an oil injection decision module is developed in an oil injection control system, periodic oil injection decision under a door lock fixed posture and reverse parameter control derivation based on the oil injection configuration are executed based on the oil injection decision module, and a periodic oil injection strategy is determined; driving oil injection configuration to execute oil injection control according to a periodic oil injection strategy, synchronously performing visual acquisition and tracking, and positioning an abnormal control point; and for the abnormal control point, an oil injection decision module is combined to carry out abnormal feedback decision, and a feedback oil injection strategy is determined. The technical problem that in the prior art, the oil injection quality of the door lock is low due to the fact that the oil injection process of the door lock is low in control precision and poor in oil injection uniformity is solved, and the technical effect of improving the oil injection quality of the door lock is achieved through real-time feedback and accurate control over the oil injection amount.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to a door lock multi-surface injection feedback control method and system based on online detection. Background Art

[0002] In the door lock manufacturing process, the spraying process is one of the key links, which directly affects the appearance quality and durability of the product. The traditional door lock spraying method usually relies on fixed procedures or manual operation, which has the defects of uneven spraying, paint waste, environmental pollution and lack of real-time feedback adjustment. In addition, due to the complex structure of door locks, including surfaces of different shapes and multiple materials, the existing spraying process is difficult to accurately adjust the spraying angle and spraying amount according to the shape of different door locks, resulting in unstable quality and high rework rate, affecting production efficiency and cost control. Summary of the invention

[0003] The present application provides a multi-faceted fuel injection feedback control method and system for a door lock based on online detection, which solves the technical problems in the prior art of low control accuracy of the door lock fuel injection process and poor fuel injection uniformity leading to low door lock fuel injection quality.

[0004] In a first aspect of the present application, a multi-faceted injection feedback control method for a door lock based on online detection is provided, the method comprising: Collect door lock injection scenarios, determine the door lock structure and injection configuration, wherein the injection configuration includes an injection mechanism and a lock clamping mechanism, and the injection mechanism is a dual-axis drive mechanism; according to the door lock structure and injection configuration, develop an injection decision module in the injection control system, and based on the injection decision module, execute periodic injection decisions under a fixed posture of the door lock and reverse parameter control derivation based on the injection configuration to determine the periodic injection strategy; according to the periodic injection strategy, drive the injection configuration to execute injection control, and simultaneously perform visual acquisition and tracking to locate abnormal control points, wherein the main control mechanism of the lock clamping mechanism and the injection mechanism is the control target; for the abnormal control point, perform abnormal feedback decision in combination with the injection decision module to determine the feedback injection strategy, wherein the slave control mechanism of the injection mechanism is the control target.

[0005] The second aspect of the present application provides a door lock multi-faceted injection feedback control system based on online detection, the system comprising: A scene acquisition component is used to acquire the door lock injection scene and determine the door lock structure and injection configuration, wherein the injection configuration includes an injection mechanism and a lock clamping mechanism, and the injection mechanism is a dual-axis drive mechanism; an injection strategy determination component is used to develop an injection decision module in the injection control system according to the door lock structure and the injection configuration, and to perform periodic injection decisions under a fixed posture of the door lock based on the injection decision module and reverse parameter control derivation based on the injection configuration to determine the periodic injection strategy; a control component is used to drive the injection configuration to perform injection control according to the periodic injection strategy, and to simultaneously perform visual acquisition and tracking to locate abnormal control points, wherein the main control mechanism of the lock clamping mechanism and the injection mechanism is the control target; a feedback decision component is used to perform abnormal feedback decisions in combination with the injection decision module for the abnormal control point, and to determine the feedback injection strategy, wherein the slave control mechanism of the injection mechanism is the control target.

[0006] One or more technical solutions provided in this application have at least the following technical effects or advantages: First, the door lock injection scene is collected to determine the door lock structure and injection configuration, where the injection configuration includes an injection mechanism and a lock clamping mechanism, and the injection mechanism is a dual-axis drive mechanism. Then, according to the door lock structure and injection configuration, an injection decision module is developed in the injection control system, and the periodic injection decision under the fixed posture of the door lock and the reverse parameter control derivation based on the injection configuration are executed based on the injection decision module to determine the periodic injection strategy. Then, according to the periodic injection strategy, the injection configuration is driven to execute the injection control, and visual acquisition and tracking are performed synchronously to locate the abnormal control point, where the lock clamping mechanism and the main control mechanism of the injection mechanism are the control targets. Finally, for the abnormal control point, the abnormal feedback decision is made in combination with the injection decision module to determine the feedback injection strategy, where the slave control mechanism of the injection mechanism is the control target. The technical problem of low control accuracy and poor injection uniformity of the door lock injection process in the prior art is solved, and the injection amount is accurately controlled through real-time feedback, achieving the technical effect of improving the door lock injection quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0008] Figure 1 A schematic flow chart of a multi-faceted injection feedback control method for a door lock based on online detection provided in an embodiment of the present application; Figure 2A schematic diagram of the structure of a door lock multi-surface injection feedback control system based on online detection provided in an embodiment of the present application.

[0009] Explanation of the reference numerals: scene acquisition component 11, injection strategy determination component 12, control component 13, feedback decision component 14. DETAILED DESCRIPTION

[0010] The present application solves the technical problems in the prior art of low control accuracy of the door lock injection process and poor injection uniformity resulting in low door lock injection quality by providing a door lock multi-surface injection feedback control method and system based on online detection.

[0011] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0012] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or are inherent to these processes, methods, products or devices.

[0013] Embodiment 1, as Figure 1 As shown, the present application provides a door lock multi-faceted injection feedback control method based on online detection, wherein the method includes: Collect the door lock oil injection scene and determine the door lock structure and oil injection configuration, wherein the oil injection configuration includes an oil injection mechanism and a lock clamping mechanism, and the oil injection mechanism is a dual-axis drive mechanism.

[0014] By collecting the door lock spraying scene, we can obtain the structural information of the door lock and its spraying requirements. Specifically, we can use industrial cameras, 3D laser scanning equipment, etc. to comprehensively collect the door lock surface to obtain the door lock's geometric shape, material characteristics and surface complexity information, and at the same time, record the door lock's fixing method, installation angle and its movement trajectory on the production line; combined with the collected data, build a three-dimensional model of the door lock through computer vision algorithms or three-dimensional modeling software, and analyze its key structural features, including but not limited to the lock body, lock core, panel, handle and other areas that may need spraying.

[0015] After clarifying the door lock structure, configure a suitable oil spraying device in combination with the morphological characteristics of the door lock and the spraying requirements. Among them, the oil spraying configuration mainly includes the oil spraying mechanism and the lock clamping mechanism. The oil spraying mechanism adopts a dual-axis drive, including linear slides or robotic arms for the X-axis and Y-axis, so that the position and angle of the nozzle can be flexibly adjusted in two directions to achieve all-round and multi-angle spraying. The oil spraying mechanism is equipped with a high-precision stepper motor or servo motor to ensure the stability and accuracy of the nozzle movement, and the spraying trajectory can be adjusted according to the shape of the door lock. The lock clamping mechanism is used to fix the door lock to ensure that the door lock will not be displaced or vibrated during the spraying process. The clamping mechanism can be an adjustable mechanical clamping device that supports the fixation of door locks of different specifications, and a rotating platform can also be used to cooperate with the spraying of parts at different angles.

[0016] Furthermore, the fuel injection mechanism is a dual-axis drive mechanism, including a first fuel injection mechanism and a second fuel injection mechanism that are mirror images of each other, wherein the mechanism includes a spray head, a rotating disk, a rotating connecting rod and a rotating regulator, and the rotating connecting rod is at least one section.

[0017] The spray mechanism is a dual-axis drive mechanism, including a first spray mechanism and a second spray mechanism with mirrored structures, to ensure synchronous or independent spraying of multiple surfaces of the door lock, and improve spraying efficiency and uniformity. Each spray mechanism includes a spray head, a rotating disk, a rotating connecting rod and a rotating regulator, wherein the spray head is used to control the spray direction and spraying amount of the paint, the rotating disk is used to provide the rotating movement of the spray head to adapt to the different spraying angles of the door lock, the rotating connecting rod is used to connect the spray head and the rotating disk, and provide support and flexible adjustment capabilities during driving, and the rotating connecting rod is composed of at least one section, which can be a single-section or multi-section structure to meet the spraying requirements of door locks of different sizes and ensure the adjustable range of the spray head. The rotating regulator is used to control the rotation angle of the rotating disk and the movement amplitude of the rotating connecting rod, so that the spray head can spray at a precise position, ensuring that the coating evenly covers all parts of the door lock, while reducing overspray and spraying dead angles, and improving spraying quality and material utilization. Through the dual-axis driven structural mirror injection mechanism, the injection strategy can be adjusted according to the door lock shape to achieve synchronous spraying or step-by-step spraying, meet the spraying needs of different door lock structures, and adapt to various production process requirements.

[0018] Furthermore, the oil injection mechanism is a dual-axis drive mechanism, comprising: The injection mechanism is set to be under master-slave control, wherein the master control mechanism is the first injection mechanism or the second injection mechanism, the master control mechanism performs multi-faceted injection of the door lock, and the slave control mechanism performs feedback compensation based on the master control; according to the master-slave control setting, the injection configuration is initialized.

[0019] The spray mechanism is a dual-axis drive mechanism, including master-slave control settings for the spray mechanism, wherein the master control mechanism is the first spray mechanism or the second spray mechanism, which is automatically selected by the system according to the shape of the door lock and the spraying requirements. The master control mechanism is responsible for executing multi-surface spraying of the door lock, and realizes precise spraying of various areas on the surface of the door lock according to the preset spraying trajectory and spraying parameters; the slave control mechanism performs feedback compensation based on the master control, that is, after the master control mechanism completes the basic spraying, the slave control mechanism adjusts the spraying angle, pressure and spraying time through real-time monitoring data, and performs correction spraying on areas with uneven spraying, insufficient coverage or defects to ensure the consistency and integrity of the spraying quality.

[0020] According to the master-slave control settings, the injection configuration is initialized, including the motion parameters of the injection mechanism, spraying trajectory, spraying pressure, nozzle opening and closing rhythm and flow control, so that the master control mechanism can accurately perform periodic spraying, and at the same time enable the slave control mechanism to have autonomous adjustment capabilities to ensure spraying accuracy and coating uniformity.

[0021] According to the door lock structure and injection configuration, an injection decision module is developed in the injection control system. Based on the injection decision module, periodic injection decisions under fixed door lock posture and reverse parameter control deduction based on the injection configuration are executed to determine the periodic injection strategy.

[0022] According to the door lock structure and injection configuration, an injection decision module is developed in the injection control system. This module combines the door lock's geometry, surface characteristics, spraying requirements and the configuration parameters of the injection mechanism to form an intelligent spraying control strategy.

[0023] Based on the injection decision module, when the door lock is in a fixed posture, a periodic injection decision is executed, that is, spraying is performed according to the set time interval and predefined trajectory to ensure uniform spray coverage and avoid over-spraying or under-spraying. The periodic injection decision is based on the morphological characteristics and spraying requirements of the door lock, and different areas are sprayed in different areas, so that the nozzle covers each spraying area of ​​the door lock in sequence according to the optimized path, and the spraying time and injection flow rate are dynamically adjusted according to the coating thickness requirements. In addition, the injection decision module adopts reverse parameter control derivation based on the injection configuration, that is, during the spraying process, the system monitors the motion state of the injection mechanism, the coating thickness on the surface of the door lock, and the possible spraying deviation in real time, and combines the master-slave control setting to dynamically adjust the injection trajectory and spraying parameters. The reverse parameter control derivation generates an adjustment signal by analyzing the spraying quality in real time, optimizes the nozzle position, spraying time and flow parameters during the spraying process, ensures coating uniformity, and reduces overspray and spraying dead angles. Based on the periodic injection decision and reverse parameter control deduction, the periodic injection strategy is finally determined. This strategy includes the optimized spray path, time arrangement, pressure control and feedback adjustment plan, so that the injection process can take into account both efficiency and precision, adapt to the spraying requirements of different door lock structures, and improve the overall spraying quality and consistency.

[0024] Furthermore, the injection decision module includes a periodic decision unit and a parameter control derivation unit, and the periodic injection decision under the fixed door lock posture is executed based on the injection decision module, including: According to the door lock injection scenario, a first door lock posture based on the lock clamping mechanism and the door lock structure is determined; the injection requirement is determined through an interactive injection work order; taking the first door lock posture as the door lock fixed posture and the injection requirement as a guide, a periodic injection sequence is determined, wherein the periodic injection sequence is determined based on the injection path and the oil layer thickness; wherein the injection mode is single-layer injection or composite-layer injection.

[0025] The injection decision module includes a periodic decision unit and a parameter control derivation unit. Through the collaborative work of these two units, intelligent injection decisions based on the door lock structure and injection configuration are realized. Specifically, the geometric shape, structure, clamping method, etc. of the door lock are modeled according to the door lock injection scenario, and the first door lock posture based on the lock clamping mechanism and the door lock structure is determined. The first door lock posture is the standard positioning state of the door lock in the fixed clamping mechanism. The relative angle, position and surface orientation of the door lock can be clarified through this posture. Through the interactive injection work order, the specific requirements for door lock spraying are obtained, including parameters such as coating thickness requirements, spraying area, spraying sequence, and injection amount.

[0026] The periodic decision unit calculates the spray path according to the fixed posture of the door lock and the spray demand, and determines the thickness of the oil layer and the amount of spray each time in combination with the thickness requirements of the coating. The system selects the spray mode according to the actual needs of the spray. If it is a single-layer spray, the system will perform a spray process to cover the required area on the door lock surface and reach the required thickness; if it is a composite layer spray, the system will spray multiple times within the set cycle, and each spray will go through a curing step to ensure the adhesion, uniformity and durability of the coating. The system will set the time, flow rate and speed of each spray according to the spray mode to ensure the quality of the coating and the stability of the spray process.

[0027] During this process, the periodic decision-making unit is responsible for formulating the injection plan according to the injection demand and the door lock posture, mainly including determining the spraying path, spraying sequence, spraying time and the thickness of the oil layer for each spraying. The parameter control derivation unit adjusts and optimizes the spraying process based on real-time feedback. When problems such as uneven spraying, insufficient or excessive thickness occur during the spraying process, the parameter control derivation unit will make real-time corrections based on the feedback data obtained from the visual inspection system, thickness sensor and other equipment. Specifically, the parameter control derivation unit will derive the correction plan based on the real-time spraying data, including adjusting the parameters such as the injection path, spraying speed, and injection amount to ensure that the spraying quality is consistent with the expected target. Through such feedback adjustment, the parameter control derivation unit enables the spraying process to be dynamically optimized according to the actual situation, avoiding the accumulation of spraying errors and unstable quality. Through the collaborative work of the periodic decision-making unit and the parameter control derivation unit, the injection decision module can improve the spraying efficiency while ensuring the spraying quality, ensuring that the surface coating of the door lock achieves the best effect.

[0028] The periodic decision unit is responsible for determining the periodic injection sequence according to the injection scenario of the door lock, and planning the spraying path, spraying frequency, spraying time and injection amount for each stage. The periodic decision unit calculates the spraying parameters required in the first door lock posture (the standard state of the door lock after being fixed in the clamping mechanism) by analyzing factors such as the structure of the door lock, the spraying requirements, and the fixed state of the clamping mechanism. Specifically, the periodic decision unit will determine the injection path, the order and time interval of the spraying according to the shape of the door lock, the spraying area and the target coating thickness to ensure the uniformity and efficiency of the spraying process. In addition, the periodic decision unit will also set the spraying frequency and number of layers according to different injection modes (such as single-layer injection or composite-layer injection) to ensure that the quality and adhesion of each layer of coating meet the requirements. Through these decisions, the periodic decision unit can formulate the optimal spraying plan to ensure that each spraying step meets the injection requirements.

[0029] The parameter control derivation unit is responsible for real-time adjustment and optimization of the injection scheme set by the periodic decision unit during the injection process. The parameter control derivation unit dynamically adjusts the spraying process based on the feedback data (such as spray thickness, coating uniformity, injection deviation, etc.) obtained by the system in real time. Specifically, when uneven spraying, insufficient or excessive spraying occurs during the spraying process, the parameter control derivation unit will analyze the abnormality through the feedback mechanism and derive appropriate corrective measures. At this time, the parameter control derivation unit will adjust the injection path, spray angle, spray pressure or spray time according to the real-time feedback to ensure that the spraying effect meets the expected quality standards. Through this closed-loop control, the parameter control derivation unit can timely correct the spraying scheme of the periodic decision unit, thereby improving the accuracy and quality of the spraying.

[0030] Furthermore, reverse parameter derivation based on the injection configuration is performed, including: The door lock injection record is called to mine the common rail electronic control relationship and the injection electronic control relationship; taking the periodic injection effect as input, the common rail electronic control relationship and the injection electronic control relationship as basis, and the injection control parameter as output, the sample drive training based on the door lock injection record is carried out to construct the parameter control derivation unit; according to the parameter control derivation unit, the periodic injection sequence is reversely deduced to determine the periodic injection strategy.

[0031] The system calls the door lock injection record and conducts in-depth analysis based on the historical injection data to dig out the common rail electronic control relationship and the injection electronic control relationship. In this process, the system extracts the mutual influence relationship between multiple injection channels or injection mechanisms by analyzing the collaborative work and injection control process between different injection mechanisms. The common rail electronic control relationship refers to how multiple injection mechanisms work together through the electronic control system during the working process to achieve the best match between the injection path and the spraying effect. The injection electronic control relationship refers to the relationship between the electronic control parameters (such as injection amount, spraying time, injection pressure, etc.) during the injection process and the actual spraying effect. Through the analysis of historical data, the system can understand and model the key control factors in the injection process and their impact on the spraying quality, providing a basis for subsequent spraying control. Next, the system takes the periodic injection effect as input, and combines the common rail electronic control relationship and the injection electronic control relationship to perform sample-driven training based on the door lock injection record, and then constructs a parameter control derivation unit. In this process, the system uses historical injection data as samples for training, and uses algorithms such as machine learning or regression analysis to dig out the quantitative relationship between control parameters (such as injection flow, spray time, spray path, etc.) and spray effect. Through sample-driven training, the parameter control derivation unit can learn how to optimize control according to different injection configurations (including injection path, oil layer thickness, etc.) from a large number of injection records. The parameter control derivation unit eventually forms a mathematical model that can adjust the control strategy according to the real-time spray effect, enabling the system to efficiently and accurately control the spray process in complex spray scenarios. After completing the training of the parameter control derivation unit, the system performs reverse parameter control derivation on the periodic injection sequence based on the parameter control derivation unit. At this time, the core task of reverse parameter control derivation is to reversely derive the control parameters that affect the spray effect based on the periodic injection effect and feedback data, and adjust them to optimize the subsequent spray process. Specifically, the parameter control derivation unit will deduce which control factors have a significant impact on the spray effect based on the spray results (such as spray thickness, coating uniformity, spray quality, etc.). For example, when it is detected that the coating thickness in a certain spraying area is insufficient, the system will adjust the injection flow, spraying time or spraying path according to the feedback information to ensure that the coating thickness reaches the expected value. The reverse deduction process enables the system to dynamically adjust the spraying strategy and continuously optimize the control parameters during the spraying process to ensure that the final spraying effect meets the quality standards.

[0032] Furthermore, the relationship between common rail electronic control and fuel injection electronic control is explored, including: The relative spatial position of the lock clamping mechanism and the nozzle is taken as the first common rail, and the relative driving position of each structure of the injection mechanism is taken as the second common rail; guided by the injection path and combined with the door lock injection record, the common rail electronic control relationship based on the first common rail-the second common rail is explored; guided by the oil layer thickness and combined with the door lock injection record, the injection electronic control relationship based on the injection amount-injection pressure is explored.

[0033] The system defines the relative spatial position of the lock clamping mechanism and the nozzle as the first common rail, and the relative driving position of each structure of the injection mechanism as the second common rail. In this process, the system will accurately model the relative position between the lock clamping mechanism and the nozzle to ensure that the nozzle can be aligned with the corresponding spraying area of ​​the door lock at different spatial positions. The first common rail mainly describes the spatial relationship between the lock clamping mechanism and the nozzle, that is, the positioning method of the nozzle, the spraying angle, and the position of the nozzle from the door lock surface. The second common rail involves the relative position between the various driving components inside the injection mechanism, such as the nozzle drive device, the injection flow adjustment mechanism, and the selection of the injection path. Through the synergy of these two common rails, the injection system can accurately control the relative movement between the nozzle and the door lock surface, thereby ensuring the position accuracy and spraying effect during the spraying process. Next, the system will use the injection path as a guide, combined with the door lock injection record, to dig out the common rail electronic control relationship based on the first common rail and the second common rail. The injection path refers to the trajectory that the nozzle takes along the surface of the door lock during the spraying process. This trajectory determines the coverage of the injection and the uniformity of the spraying area. Combined with the injection records, the system analyzes how the first common rail and the second common rail work together under different injection paths to derive the common rail electronic control relationship. For example, under a specific injection path, the nozzle position of the first common rail needs to cooperate with the driving mode of the injection mechanism in the second common rail to achieve efficient and uniform spraying effects. In addition, the system will also use the oil layer thickness as a guide, combined with the door lock injection records, to explore the injection electronic control relationship based on the injection amount and injection pressure. The oil layer thickness is an important indicator of spraying quality, and the injection amount and injection pressure are important parameters that affect the thickness and uniformity of the oil layer. By analyzing the door lock injection records, the system explores the spraying effects under different injection amounts and injection pressures, and establishes the control relationship between the injection amount and injection pressure. For example, at a certain pressure, the injection amount needs to be adjusted to ensure that the coating reaches a specified thickness, or at different injection pressures, changes in the injection amount will directly affect the uniformity of the coating.

[0034] Further, after determining the periodic injection strategy, it includes: Assemble a Hall sensor, wherein the Hall sensor is mounted on the fuel injection mechanism or the lock clamping mechanism; with the execution of the periodic fuel injection strategy, the Hall sensor is synchronously activated; according to the Hall sensor, guided by the fuel injection path, the mechanical motion state of the fuel injection configuration is detected to generate a feedback instruction; according to the feedback instruction, the fuel injection feedback adjustment is performed in response to the fuel injection control system.

[0035] Install Hall sensors at appropriate positions of the fuel injection mechanism or the lock clamping mechanism. Hall sensors are sensors that can detect changes in magnetic fields and can sense the relative position changes of the fuel injection mechanism or the lock clamping mechanism in real time. By installing Hall sensors, the system can monitor the dynamic position changes of the fuel injection mechanism and the lock clamping mechanism in real time.

[0036] As the periodic injection strategy is executed, the Hall sensor is activated synchronously. At this time, the injection control system starts to work according to the predetermined periodic injection strategy, and the Hall sensor starts to detect and record the position and motion state of the injection mechanism or the lock clamping mechanism during the spraying process in real time. The Hall sensor detects the motion trajectory of the injection mechanism or the lock clamping mechanism and transmits the data to the injection control system for subsequent dynamic monitoring and feedback. By activating the Hall sensor synchronously, the system can grasp the motion of the injection mechanism in real time and provide data support for subsequent control adjustments. Based on the real-time data obtained by the Hall sensor, the system guides the injection path, detects the mechanical motion state of the injection configuration, and generates feedback instructions. At this time, the injection path is used as the control direction, and the system compares the motion data obtained by the Hall sensor with the predetermined injection path. Through this comparison, the system can determine whether the actual motion trajectory of the injection mechanism or the lock clamping mechanism conforms to the set injection path. If a deviation is found in the motion trajectory, the system will evaluate the degree and impact of the deviation and generate feedback instructions, which may include adjusting the position of the injection mechanism, the injection flow rate, the spray angle or other injection parameters to ensure that every part of the spraying process can be accurately executed. Based on the generated feedback instructions, the injection control system performs feedback adjustment on the injection process. The system adjusts the parameter settings during the injection process in real time based on the feedback data provided by the Hall sensor and the generated feedback instructions. If there is a deviation in the movement of the injection mechanism, the system may need to adjust the control parameters of the injection mechanism, such as the drive position, injection flow rate, and spray time. For example, when the Hall sensor detects that the nozzle fails to move along the predetermined path, the system can adjust the nozzle's drive motor to correct the nozzle's movement direction and speed to ensure that the injection mechanism continues to operate along the predetermined path.

[0037] According to the periodic injection strategy, the injection configuration is driven to execute injection control, and visual acquisition and tracking are performed simultaneously to locate abnormal control points, wherein the main control mechanism of the lock clamping mechanism and the injection mechanism is taken as the control target.

[0038] According to the periodic injection strategy, the system first drives the injection configuration to start the injection control to ensure that the injection mechanism works according to the predetermined spraying requirements. Specifically, the injection mechanism will adjust the spraying parameters such as injection flow, spraying angle, and injection pressure according to the set periodic injection strategy to ensure that each layer of coating reaches the required quality and uniformity. At the beginning of the spraying process, the system will synchronously perform visual acquisition and tracking, and use visual sensors (such as high-resolution cameras or laser sensors) to monitor the injection area in real time. The visual system will capture image data of the sprayed surface and analyze the thickness, uniformity, injection path, etc. of the coating to detect possible abnormalities.

[0039] During the visual acquisition process, the system uses image processing technology to perform real-time analysis of key parameters in the spraying process. For example, the system will detect whether there are problems such as uneven spraying, spraying omissions, excessive or insufficient coating thickness, and promptly identify and locate these abnormal control points. When the system locates these anomalies, the system will analyze and determine the specific location and nature of the anomaly, determine whether it affects the spraying quality, and adjust the spraying process according to the preset quality standards. In this process, the system uses the main control mechanism of the lock clamping mechanism and the injection mechanism as the control target to perform abnormal feedback adjustment. The main control mechanism of the lock clamping mechanism and the injection mechanism is usually responsible for the core control functions of the entire spraying process, including the adjustment of key parameters such as the injection path, injection flow, and injection angle. Therefore, once the visual acquisition and tracking system finds an abnormal control point, the system will automatically feedback and adjust the spraying process through the main control mechanism. For example, if the system detects that the spray path deviates, the main control mechanism will readjust the injection path to restore the correct spray trajectory; if it is detected that the coating thickness does not meet the requirements, the system may correct this problem by adjusting the injection flow or spray pressure; if it is found that the nozzle position is incorrect, the system will also adjust the nozzle drive parameters in time to ensure accurate spraying.

[0040] Furthermore, visual acquisition and tracking are performed simultaneously to locate abnormal control points, including: The real-time fuel injection characteristics are determined through visual acquisition and tracking; based on the real-time fuel injection characteristics, the periodic fuel injection sequence is traversed to perform matching and characteristic value difference to determine the fuel injection difference; it is determined whether the fuel injection difference meets the preset accuracy, and if not, the abnormal control point is determined.

[0041] The system monitors the spray characteristics in the injection process in real time through visual acquisition and tracking. Visual sensors (such as high-resolution cameras, laser scanners, etc.) will collect real-time image data during the spraying process and extract real-time injection characteristics through image processing technology. These characteristics include the uniformity of the coating, the accuracy of the spraying path, the coverage of the spraying area, etc. Then, the system traverses and matches the periodic injection sequence based on the obtained real-time injection characteristics. Specifically, the system will compare the actual collected injection characteristics with the predetermined periodic injection sequence, and calculate the difference between the characteristic value of each spraying cycle and the actual injection characteristic value, and then calculate the difference to obtain the injection difference. The injection difference represents the degree of deviation between the actual injection effect and the predetermined injection strategy. After obtaining the injection difference, the system will determine whether the injection difference meets the preset accuracy. The system determines whether the injection difference is within the allowable error range based on the preset accuracy requirements. If the injection difference exceeds the preset accuracy range, the system will determine that there is an abnormal control point at this time, that is, a link or area in the spraying process does not meet the quality standards. At this point, the system will further analyze the specific location and nature of the abnormal control point, and adjust the injection control strategy in a targeted manner to ensure that the spraying quality is corrected in a timely manner. If the injection difference meets the preset accuracy requirements, it means that the spraying process is normal and no adjustment is required. The system continues to control the spraying according to the predetermined periodic injection sequence. If the difference exceeds the standard, the system will correct the injection parameters through the feedback mechanism, such as adjusting the injection flow, injection pressure, spray path, etc., to solve the abnormal problems that occur during the spraying process and ensure that the spraying quality meets the standard.

[0042] For the abnormal control point, an abnormal feedback decision is made in combination with the injection decision module to determine a feedback injection strategy, wherein a slave control mechanism of the injection mechanism is taken as a control target.

[0043] When the system locates abnormal control points in the spraying process through visual acquisition and tracking, the system will analyze the nature and degree of the abnormality. These abnormal control points may be inaccurate injection paths, uneven coating thickness, insufficient or excessive injection volume, etc. The system will input these abnormal information into the injection decision module for further analysis. The injection decision module consists of a periodic decision unit and a parameter derivation unit, which can formulate appropriate feedback injection strategies based on known injection strategies, spraying quality standards, and information on abnormal control points. Specifically, the system will adjust the various control parameters in the injection process according to the different characteristics of the abnormal points and the decision rules of the injection decision module. These control parameters may include injection volume, injection pressure, spray angle, spray speed, etc., to ensure that the spraying process can correct abnormalities and return to the predetermined quality standards.

[0044] In the feedback decision-making process, the system will select the appropriate slave control mechanism of the injection mechanism as the control target. The slave control mechanism is usually used as an auxiliary or compensation system of the injection mechanism, responsible for fine-tuning the detailed control of the injection process. For example, the slave control mechanism may compensate for the errors of the main control mechanism during the spraying process by fine-tuning the position of the injection head and adjusting the injection flow. Through the fine adjustment of the slave control mechanism, the system can respond quickly to subtle problems in the injection process and ensure that the spraying quality is effectively corrected under the influence of abnormal control points. For example, if the coating thickness is detected to be inconsistent with the predetermined standard during the spraying process, the injection decision module will combine the feedback information of the abnormal point to determine the feedback injection strategy such as increasing the injection amount or adjusting the injection pressure. At this time, the system will instruct the slave control mechanism to adjust the injection parameters to achieve compensation for the abnormal control point.

[0045] Furthermore, the determining of the feedback injection strategy includes: The abnormal control point is imported into the periodic decision unit, and the re-injection information is determined according to the injection difference; the re-injection information is transferred to the parameter and control derivation unit, and the feedback injection strategy is output, wherein, according to the feedback injection strategy, the slave control mechanism is driven to perform re-injection feedback control on the abnormal control point.

[0046] When the system locates the abnormal control point in the spraying process and after preliminary analysis, the system will import the information of the abnormal control point into the periodic decision unit for further processing. As part of the injection decision module, the periodic decision unit is responsible for adjusting the injection strategy based on the injection difference obtained in real time (that is, the deviation between the actual effect and the predetermined standard during the spraying process). Based on the injection difference, the periodic decision unit can calculate the re-spray information, which refers to the adjustment suggestions for the partial area or injection parameters that need to be re-sprayed during the spraying process. The re-spray information includes but is not limited to the need to increase the injection volume, adjust the spray path, change the spray angle or extend the spray time. These re-spray information can accurately guide the system to compensate for the abnormal control points and ensure that the spraying quality is restored to the predetermined standard.

[0047] Once the re-injection information is generated, the system will transfer it to the parameter control derivation unit, which is responsible for further deducing the specific feedback injection strategy based on the feedback rules of the re-injection information and injection configuration. The parameter control derivation unit combines the historical records and empirical data of injection control, and comprehensively evaluates the re-injection information based on the common rail electronic control relationship, the control relationship between the injection amount and the injection pressure, and generates the final feedback injection strategy. The strategy includes the adjustment details of the injection parameters, the specific area of ​​the re-injection, the spraying angle and the spraying speed, etc., to ensure that the abnormal area can be accurately compensated and the spraying defects can be repaired.

[0048] According to the determined feedback injection strategy, the system will drive the slave control mechanism to perform re-spray feedback control. The slave control mechanism is the auxiliary control part of the injection mechanism, which is responsible for fine-tuning the local adjustment during the injection process. Specifically, the system will instruct the slave control mechanism to perform additional spraying or adjustment in the corresponding area of ​​the abnormal control point according to the feedback injection strategy. Re-spray feedback control ensures that the quality of the spraying area is repaired by fine-tuning the injection amount, adjusting the injection time, correcting the position of the nozzle, etc., and finally achieves the consistency of the spraying effect with the predetermined standard. For example, if the coating thickness of a certain spraying area is detected to be insufficient, the system will instruct the slave control mechanism to increase the injection amount or adjust the position of the nozzle through the re-spray information to ensure that the spraying area is evenly covered. If there is a deviation in the injection path, the system will adjust the spray angle through the feedback injection strategy and recalibrate the trajectory of the nozzle to ensure that the spray path meets the predetermined requirements. Through this feedback mechanism, the system can automatically repair any deviations during the spraying process to ensure that the quality of each spraying area meets the standard.

[0049] In summary, the embodiments of the present application have at least the following technical effects: First, the door lock injection scene is collected to determine the door lock structure and injection configuration, where the injection configuration includes an injection mechanism and a lock clamping mechanism, and the injection mechanism is a dual-axis drive mechanism. Then, according to the door lock structure and injection configuration, an injection decision module is developed in the injection control system, and the periodic injection decision under the fixed posture of the door lock and the reverse parameter control derivation based on the injection configuration are executed based on the injection decision module to determine the periodic injection strategy. Then, according to the periodic injection strategy, the injection configuration is driven to execute the injection control, and visual acquisition and tracking are performed synchronously to locate the abnormal control point, where the lock clamping mechanism and the main control mechanism of the injection mechanism are the control targets. Finally, for the abnormal control point, the abnormal feedback decision is made in combination with the injection decision module to determine the feedback injection strategy, where the slave control mechanism of the injection mechanism is the control target. The technical problem of low control accuracy and poor injection uniformity of the door lock injection process in the prior art is solved, and the injection amount is accurately controlled through real-time feedback, achieving the technical effect of improving the door lock injection quality.

[0050] Embodiment 2 is based on the same inventive concept as the door lock multi-faceted injection feedback control method based on online detection in the previous embodiment. Figure 2 As shown, the present application provides a door lock multi-faceted injection feedback control system based on online detection, wherein the system includes: The scene acquisition component 11 is used to acquire the door lock injection scene and determine the door lock structure and injection configuration, wherein the injection configuration includes an injection mechanism and a lock clamping mechanism, and the injection mechanism is a dual-axis drive mechanism; the injection strategy determination component 12 is used to develop an injection decision module in the injection control system according to the door lock structure and the injection configuration, and to perform periodic injection decisions under a fixed posture of the door lock and reverse parameter control derivation based on the injection configuration based on the injection decision module to determine the periodic injection strategy; the control component 13 is used to drive the injection configuration to perform injection control according to the periodic injection strategy, and to simultaneously perform visual acquisition and tracking to locate abnormal control points, wherein the main control mechanism of the lock clamping mechanism and the injection mechanism is the control target; the feedback decision component 14 is used to make abnormal feedback decisions for the abnormal control points in combination with the injection decision module to determine the feedback injection strategy, wherein the slave control mechanism of the injection mechanism is the control target.

[0051] Furthermore, the scene acquisition component 11 is used to execute the following method: The oil injection mechanism is a dual-axis drive mechanism, including a first oil injection mechanism and a second oil injection mechanism that are mirror images of each other, wherein the mechanism includes a spray head, a rotating disk, a rotating connecting rod and a rotating regulator, wherein the rotating connecting rod is at least one section.

[0052] Furthermore, the scene acquisition component 11 is used to execute the following method: The injection mechanism is set to be under master-slave control, wherein the master control mechanism is the first injection mechanism or the second injection mechanism, the master control mechanism performs multi-faceted injection of the door lock, and the slave control mechanism performs feedback compensation based on the master control; according to the master-slave control setting, the injection configuration is initialized.

[0053] Furthermore, the injection strategy determination component 12 is used to execute the following method: According to the door lock injection scenario, a first door lock posture based on the lock clamping mechanism and the door lock structure is determined; the injection requirement is determined through an interactive injection work order; taking the first door lock posture as the door lock fixed posture and the injection requirement as a guide, a periodic injection sequence is determined, wherein the periodic injection sequence is determined based on the injection path and the oil layer thickness; wherein the injection mode is single-layer injection or composite-layer injection.

[0054] Furthermore, the injection strategy determination component 12 is used to execute the following method: The door lock injection record is called to mine the common rail electronic control relationship and the injection electronic control relationship; taking the periodic injection effect as input, the common rail electronic control relationship and the injection electronic control relationship as basis, and the injection control parameter as output, the sample drive training based on the door lock injection record is carried out to construct the parameter control derivation unit; according to the parameter control derivation unit, the periodic injection sequence is reversely deduced to determine the periodic injection strategy.

[0055] Furthermore, the injection strategy determination component 12 is used to execute the following method: The relative spatial position of the lock clamping mechanism and the nozzle is taken as the first common rail, and the relative driving position of each structure of the injection mechanism is taken as the second common rail; guided by the injection path and combined with the door lock injection record, the common rail electronic control relationship based on the first common rail-the second common rail is explored; guided by the oil layer thickness and combined with the door lock injection record, the injection electronic control relationship based on the injection amount-injection pressure is explored.

[0056] Furthermore, the injection strategy determination component 12 is used to execute the following method: Assemble a Hall sensor, wherein the Hall sensor is mounted on the fuel injection mechanism or the lock clamping mechanism; with the execution of the periodic fuel injection strategy, the Hall sensor is synchronously activated; according to the Hall sensor, guided by the fuel injection path, the mechanical motion state of the fuel injection configuration is detected to generate a feedback instruction; according to the feedback instruction, the fuel injection feedback adjustment is performed in response to the fuel injection control system.

[0057] Furthermore, the control component 13 is used to execute the following method: The real-time fuel injection characteristics are determined through visual acquisition and tracking; based on the real-time fuel injection characteristics, the periodic fuel injection sequence is traversed to perform matching and characteristic value difference to determine the fuel injection difference; it is determined whether the fuel injection difference meets the preset accuracy, and if not, the abnormal control point is determined.

[0058] Furthermore, the feedback decision component 14 is used to execute the following method: The abnormal control point is imported into the periodic decision unit, and the re-injection information is determined according to the injection difference; the re-injection information is transferred to the parameter and control derivation unit, and the feedback injection strategy is output, wherein, according to the feedback injection strategy, the slave control mechanism is driven to perform re-injection feedback control on the abnormal control point.

[0059] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0060] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0061] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A multi-faceted injection feedback control method for door locks based on online detection, characterized in that: The method comprises: Collect the door lock oil injection scene, determine the door lock structure and oil injection configuration, wherein the oil injection configuration includes an oil injection mechanism and a lock clamping mechanism, and the oil injection mechanism is a dual-axis drive mechanism; According to the door lock structure and the fuel injection configuration, an injection decision module is developed in the fuel injection control system, and based on the injection decision module, a periodic fuel injection decision is executed under a fixed door lock posture and a reverse parameter control deduction based on the fuel injection configuration is performed to determine the periodic fuel injection strategy; According to the periodic injection strategy, the injection configuration is driven to execute the injection control, and visual acquisition and tracking are performed synchronously to locate the abnormal control point, wherein the main control mechanism of the lock clamping mechanism and the injection mechanism is taken as the control target; For the abnormal control point, an abnormal feedback decision is made in combination with the injection decision module to determine a feedback injection strategy, wherein a slave control mechanism of the injection mechanism is taken as a control target.

2. The door lock multi-surface injection feedback control method based on online detection as claimed in claim 1, characterized in that: The oil injection mechanism is a dual-axis drive mechanism, including a first oil injection mechanism and a second oil injection mechanism that are mirror images of each other, wherein the mechanism includes a spray head, a rotating disk, a rotating connecting rod and a rotating regulator, wherein the rotating connecting rod is at least one section.

3. The door lock multi-surface injection feedback control method based on online detection as claimed in claim 2, characterized in that: The oil injection mechanism is a dual-axis drive mechanism, comprising: The injection mechanism is set to be a master-slave control mechanism, wherein the master control mechanism is the first injection mechanism or the second injection mechanism, the master control mechanism performs multi-faceted injection of the door lock, and the slave control mechanism performs feedback compensation based on the master control; The fuel injection configuration is initialized according to the master-slave control setting.

4. The door lock multi-faceted injection feedback control method based on online detection as claimed in claim 1, characterized in that: The fuel injection decision module includes a periodic decision unit and a parameter control derivation unit. The periodic fuel injection decision under the fixed door lock posture is executed based on the fuel injection decision module, including: According to the door lock oil injection scenario, determining a first door lock posture based on the lock clamping mechanism and the door lock structure; Determine fuel injection requirements through interactive fuel injection work orders; Taking the first door lock posture as the door lock fixed posture and taking the injection demand as a guide, determining a periodic injection sequence, wherein the periodic injection sequence is determined based on an injection path and an oil layer thickness; Among them, the injection mode is single-layer injection or composite-layer injection.

5. The door lock multi-surface injection feedback control method based on online detection as claimed in claim 4, characterized in that: Perform reverse parameter derivation based on injection configuration, including: Call the door lock injection records to explore the relationship between common rail electronic control and injection electronic control; Taking the periodic injection effect as input, the common rail electronic control relationship and the injection electronic control relationship as basis, and the injection control parameter as output, sample drive training based on the door lock injection record is performed to construct the parameter control derivation unit; According to the parameter control derivation unit, reverse parameter control derivation is performed on the periodic injection sequence to determine the periodic injection strategy.

6. The door lock multi-surface injection feedback control method based on online detection as claimed in claim 5, characterized in that: Explore the relationship between common rail electronic control and fuel injection electronic control, including: The relative spatial position between the lock clamping mechanism and the spray head is the first common rail, and the relative driving position of each structure of the injection mechanism is the second common rail; Guided by the injection path and combined with the door lock injection record, the common rail electronic control relationship based on the first common rail and the second common rail is mined; Guided by the thickness of the oil layer and combined with the door lock injection record, the injection electronic control relationship based on the injection quantity-injection pressure is explored.

7. The door lock multi-surface injection feedback control method based on online detection as claimed in claim 4, characterized in that: After determining the periodic injection strategy, including: Installing a Hall sensor, wherein the Hall sensor is installed on the fuel injection mechanism or the lock clamping mechanism; As the periodic fuel injection strategy is executed, the Hall sensor is synchronously activated; According to the Hall sensor, guided by the injection path, the mechanical motion state of the injection configuration is detected to generate a feedback instruction; According to the feedback instruction, the fuel injection control system performs fuel injection feedback adjustment in response to the fuel injection control system.

8. The door lock multi-surface injection feedback control method based on online detection as claimed in claim 4, characterized in that: Simultaneously conduct visual acquisition and tracking to locate abnormal control points, including: Determine real-time fuel injection characteristics through visual acquisition and tracking; According to the real-time fuel injection characteristics, the periodic fuel injection sequence is traversed to perform matching and characteristic value difference, and the fuel injection difference is determined; Determine whether the injection difference satisfies a preset accuracy, and if not, determine the abnormal control point.

9. The door lock multi-surface injection feedback control method based on online detection as claimed in claim 8, characterized in that: The determining of the feedback injection strategy comprises: Importing the abnormal control point into the periodic decision unit, and determining the re-injection information according to the injection difference; The re-injection information flow is transferred to the parameter control derivation unit, and the feedback injection strategy is output, wherein, according to the feedback injection strategy, the slave control mechanism is driven to perform re-injection feedback control on the abnormal control point.

10. Door lock multi-faceted injection feedback control system based on online detection, characterized in that: The system for implementing the door lock multi-surface injection feedback control method based on online detection according to any one of claims 1 to 9 comprises: A scene acquisition component, used to acquire the door lock oil injection scene, determine the door lock structure and oil injection configuration, wherein the oil injection configuration includes an oil injection mechanism and a lock clamping mechanism, and the oil injection mechanism is a dual-axis drive mechanism; The fuel injection strategy determination component is used to develop a fuel injection decision module in the fuel injection control system according to the door lock structure and the fuel injection configuration, and to perform periodic fuel injection decision under the fixed posture of the door lock and reverse parameter control derivation based on the fuel injection configuration based on the fuel injection decision module to determine the periodic fuel injection strategy; A control component is used to drive the injection configuration to perform injection control according to the periodic injection strategy, and simultaneously perform visual acquisition and tracking to locate abnormal control points, wherein the main control mechanism of the lock clamping mechanism and the injection mechanism is the control target; The feedback decision component is used to make an abnormal feedback decision for the abnormal control point in combination with the injection decision module to determine the feedback injection strategy, wherein the slave control mechanism of the injection mechanism is taken as the control target.

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