Efficient integrated vehicle lamp intelligent detection system and method

Abstract

The invention provides an efficient integrated vehicle lamp intelligent detection system and method, and relates to the technical field of lamp detection. Comprising an industrial PC terminal and a lamp detection subsystem, the lamp detection subsystem is used for carrying out airtightness detection, dimming detection and electric detection assembly testing on a lamp, and the industrial PC terminal is in communication connection with the lamp detection subsystem. The data management subsystem is used for managing the lamp detection subsystem, storing and displaying the data acquired by the lamp detection subsystem and analyzing the data acquired by the lamp detection subsystem; an airtight control module, a light pattern adjusting module, a lamp control acquisition module, an optical analysis module and a digital module are integrated in the lamp detection subsystem. Multiple functions of airtightness, dimming, electric detection, optical performance detection and the like are integrated into one system, so that the number of devices and the occupied area are reduced, and the complexity and maintenance cost of the system are reduced. Meanwhile, all the modules are controlled and managed through an industrial PC, efficient cooperative work is achieved, and the detection efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of headlamp detection, and particularly relates to an efficient integrated intelligent headlamp detection system and method. Background Art

[0002] In the field of automotive parts manufacturing, especially during the production process of headlamps, as a key component, the quality of the headlamp directly affects the lighting effect and driving safety of the vehicle. Therefore, before the headlamp is taken offline from the final assembly line, it needs to go through strict inspection procedures to ensure its performance meets the standards. Currently, the detection of headlamps on the final assembly line mainly adopts a sub-station detection method, which specifically includes three independent procedures: airtightness detection, dimming detection, and electrical inspection assembly test.

[0003] Airtightness Detection: This procedure mainly detects the sealing performance of the headlamp to ensure that the lamp does not let in water or leak air due to poor sealing in various environments, which may affect the lighting effect and service life. During the detection, the lamp needs to be placed in an airtightness detection device, and through operations such as inflating and maintaining pressure, it is observed whether there is any air leakage in the lamp.

[0004] Dimming Detection: Dimming detection is used to evaluate the lighting effect of the headlamp, including whether parameters such as luminous intensity, light pattern, and light color meet the design requirements. During the detection process, the lamp needs to be installed on the dimming detection device, and by adjusting the dimming screw, the lighting effect is ensured.

[0005] Electrical Inspection Assembly Test: This procedure mainly detects the electrical performance of the headlamp. The lamp is connected to the electrical inspection device for power-on testing to check whether electrical parameters such as current and voltage of the lamp are within the normal range.

[0006] In the existing detection process, the above three procedures need to be carried out at different workstations respectively. For each procedure, manual loading and unloading of the lamp are required, and the process is controlled by scanning the code through the MOM system. For complex products with special detection functions and relatively long detection time for a single procedure, in order to balance the production capacity rhythm of the production line, even two devices need to be configured for each procedure. Therefore, the following defects exist in the existing technology: (1) High system maintenance cost: The dimming, airtightness, and electrical inspection procedures respectively adopt independent software and hardware systems, which need to be maintained and calibrated separately, increasing the maintenance workload and cost.

[0007] (2) Large floor area for production line layout: The arrangement of equipment for the three procedures makes the production line layout relatively complex, occupying a large production space.

[0008] (3) High risk of handling and transfer: When handling and transferring the lamp between different procedures, it is easy to cause defects such as bumps and scratches, which affect the product quality.

[0009] (4)Function duplication detection: Some detection functions may be duplicated in different processes, resulting in an extended production cycle time.

[0010] (5)Difficulty in troubleshooting anomalies: Since there are numerous devices and links involved in the production process, when an anomaly occurs, each process and device needs to be checked one by one, increasing the difficulty of problem location and resolution.

[0011] The above problems need to be solved urgently. Summary of the Invention

[0012] The object of the present invention is to overcome at least one technical problem existing in the prior art, and to provide an efficient integrated intelligent headlight detection system and method.

[0013] On the one hand, an embodiment of the present invention provides an efficient integrated intelligent headlight detection system, the system comprising: an industrial PC terminal and a lamp detection subsystem, the lamp detection subsystem being used for performing airtightness detection, dimming detection and electrical inspection assembly test on the lamp, the industrial PC terminal being communicatively connected to the lamp detection subsystem for managing the lamp detection subsystem, storing and displaying the data collected by the lamp detection subsystem, and analyzing the data collected by the lamp detection subsystem; the lamp detection subsystem being integrated with an airtightness control module, a light pattern adjustment module, a lamp control and acquisition module, an optical analysis module and a digitization module; the airtightness control module being used for performing airtightness detection on the lamp; the light pattern adjustment module being used for adjusting the light pattern of the lamp by controlling a servo system and a lamp dimming structure through a PLC; the lamp control and acquisition module being used for collecting the electrical performance data of the lamp and analyzing the collected electrical performance data to determine whether the electrical performance of the lamp is normal; the optical analysis module being used for collecting the optical image of the lamp and analyzing and detecting the optical characteristics of the lamp based on the optical image data; and the digitization module being used for realizing the digital identification and traceability of the lamp.

[0014] Furthermore, a detection software is installed on the industrial PC side. The detection software integrates a system GUI, a permission management module, an action logic module, a digital integration module, a process monitoring module, and an algorithm self-learning module. The algorithm self-learning module is used to continuously optimize the detection criteria and judgment logic based on the detection data. The action logic module is used to automate the detection process, including one or a combination of data acquisition action logic, data processing action logic, control instruction sending action logic, human-computer interaction action logic, and system monitoring and fault handling action logic. The digital integration module is used to uniformly manage and store the detection data and associate it with the lamp identification code for data traceability and query. The process monitoring module is programmed with airtight logic and a lamp signal analysis program, which is used to monitor various parameters and data during the detection process in real time, and to monitor and give early warnings to the detection process.

[0015] Furthermore, an image algorithm program and a light pattern analysis program are programmed in the algorithm self-learning module. The image algorithm program is used to complete the optical characteristic analysis of the lamp based on the optical image data of the lamp sent by the optical analysis module. The light pattern analysis program is used to complete the light pattern detection of the lamp based on the adjusted lamp light pattern sent by the light pattern adjustment module.

[0016] Furthermore, a pressure sensor, a differential pressure sensor, a pneumatic control valve, and an electronic pressure regulating valve are integrated in the airtight control module. The pressure sensor and the differential pressure sensor are used to collect the air pressure data of the lamp. The pneumatic control valve and the electronic pressure regulating valve are used to adjust the air pressure according to a preset program. The airtight control module is connected to the industrial PC side through a TCP / RS485 communication interface to transmit the collected air pressure data to the process monitoring module in the industrial PC, and the air pressure data is analyzed and judged through the airtight logic to complete the airtightness detection of the lamp.

[0017] Furthermore, a PLC controller is integrated in the light pattern adjustment module. The PLC controller interacts with the device through CANOPEN communication using DI and DO units, controls the servo system and the lamp dimming structure to adjust the lamp light pattern, and transmits the adjusted light pattern to the industrial PC through the Modbus TCP communication protocol. The light pattern analysis in the algorithm self-learning module in the industrial PC side analyzes the light pattern data to judge whether the light pattern design of the lamp meets the requirements. The light pattern adjustment module is also used to obtain the torque data during the operation of the device through the DI unit. When the torque is abnormal, the PLC controller controls the device to stop running.

[0018] Further, a data acquisition unit, a CAN / LIN unit, and a programmable power supply are integrated in the lamp control and acquisition module; the data acquisition unit is used to acquire the voltage and current parameters of the lamp; the CAN / LIN unit is used to communicate with the lamp; and the programmable power supply supplies power to the lamp according to the preset voltage and current parameters.

[0019] Further, a color industrial camera, a high-speed industrial camera, an optical dark box, and a light color calibration module are integrated in the optical analysis module; the lamp is placed in the optical dark box, and the color industrial camera and the high-speed industrial camera are used to acquire the optical image data of the lamp; the light color calibration module is used to calibrate the acquired optical image data; the acquired optical image data is transmitted to the industrial PC through a GIG / USB3.0 RS485 communication interface, and the optical characteristics of the lamp are analyzed and detected through the image algorithm inside the industrial PC.

[0020] Further, a barcode reader, a labeling device, and a network device are integrated in the digitization module; the barcode reader is used to read the identification code of the lamp; the labeling device is used to label the lamp; and the network device is used to transmit the identification data of the lamp to the industrial PC for storage.

[0021] Further, the process monitoring module is also used to monitor the parameters and states in the detection process in real time. When an abnormality is detected, an alarm is immediately issued and the fault information is displayed on the system GUI.

[0022] In a second aspect, the present embodiment provides an efficient integrated headlight intelligent detection method, which is applied to the above-mentioned efficient integrated headlight intelligent detection system. The method includes: Step S1: Place the first lamp on the first station; Step S2: Perform an airtightness detection on the first lamp; Step S3: Determine whether the airtightness detection of the first lamp is qualified. If it is qualified, the first lamp automatically rotates to the second station and undergoes electrical inspection and dimming at the second station. If the airtightness detection of the first lamp is unqualified, rework or fault handling is performed; Step S4: While the first lamp is undergoing electrical inspection and dimming at the second station, the first station is idle, and the second lamp is placed on the first station; Step S5: Perform an airtightness detection on the second lamp at the first station; Step S6: Determine whether the airtightness detection of the second lamp is qualified. If it is qualified, the second lamp automatically rotates to the second station and undergoes electrical inspection and dimming at the second station. If the airtightness detection of the second lamp is unqualified, rework or fault handling is performed; Step S7: Determine whether the electrical inspection and dimming of the first lamp is qualified. If it is qualified, the first lamp completes the detection. If the electrical inspection and dimming of the first lamp is unqualified, rework or fault handling is performed; Step S8: Determine whether the electrical inspection and dimming of the second lamp is qualified. If it is qualified, the second lamp completes the detection. If the electrical inspection and dimming of the second lamp is unqualified, rework or fault handling is performed.

[0023] In another aspect, the present invention also provides a computer-readable storage medium storing one or more instructions for causing a computer to execute the above-mentioned efficient integrated headlight intelligent detection method.

[0024] In yet another aspect, the present invention provides an electronic device, comprising: a memory and a processor; at least one program instruction is stored in the memory; the processor loads and executes the at least one program instruction to implement the above-mentioned efficient integrated headlight intelligent detection method.

[0025] The beneficial effects of the present invention are as follows: (1) Integrating multiple functions such as airtightness, dimming, electrical inspection, and optical performance inspection into one system reduces the number of devices and floor space, and lowers the complexity and maintenance cost of the system. At the same time, each module is controlled and managed through an industrial PC, achieving efficient collaborative work and improving the detection efficiency.

[0026] (2) The automation of the detection process is realized through the action logic module, reducing manual intervention and improving the consistency and stability of detection. The operator only needs to perform simple loading and unloading operations, and the system can automatically complete the entire detection process, greatly improving the work efficiency.

[0027] (3) The process monitoring module can monitor the detection process in real time, discover abnormalities in a timely manner and issue alarms, facilitating quick handling by the operator. The algorithm self-learning module can continuously optimize the detection criteria and judgment logic based on the detection data, making the system have the characteristics of self-adaptability and intelligence, and further improving the accuracy and efficiency of detection.

[0028] (4) The digital integration module realizes the unified management and storage of detection data, and associates it with the lamp identification code, facilitating data traceability and query. At the same time, the detection data can be uploaded to the enterprise's production management system through network devices, providing support for quality control, data analysis, and decision-making in the production process, and contributing to the realization of lean production and continuous improvement of quality management. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The present invention will be further described below with reference to the drawings and embodiments.

[0030] Figure 1 FIG. is a structural diagram of an efficient integrated headlight intelligent detection system provided by Embodiment 1 of the present invention.

[0031] Figure 2 FIG. is a flowchart of an efficient integrated headlight intelligent detection method provided by Embodiment 2 of the present invention.

[0032] Figure 3It is a partial block diagram of the electronic device provided in Embodiment 4 of the present invention. Detailed implementation mode

[0033] Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations as sequential processes, many of the operations can be implemented in parallel, concurrently, or simultaneously. In addition, the order of the operations can be rearranged. The process can be terminated when its operations are completed, but it can also have additional steps not included in the drawings. The process can correspond to a method, function, procedure, subroutine, subprogram, etc.

[0034] It should be understood that although terms such as "first" and "second" may be used herein to describe various units, these units should not be limited by these terms. These terms are only used to distinguish one unit from another. For example, without departing from the scope of the exemplary embodiments, the first unit can be called the second unit, and similarly the second unit can be called the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0035] Now, the present invention will be described in detail with reference to the accompanying drawings. This figure is a simplified schematic diagram, only illustrating the basic structure of the present invention in a schematic manner, so it only shows the components related to the present invention.

[0036] Embodiment 1 For the convenience of understanding, the working principle of the present system is described as a whole before the detailed description of the embodiments of the present invention: Airtight detection: The airtight detection module conducts air pressure tests on the lamps through pressure sensors and differential pressure sensors. The air control valve and electronic pressure regulating valve adjust the air pressure, and the test results are transmitted to the industrial PC through the TCP / RS485 interface for analysis and judgment. Light pattern adjustment: The light pattern adjustment module controls the servo system and the lamp dimming structure through the PLC, and interacts with the device using the CANOPEN communication protocol to ensure that the light pattern of the lamp meets the design requirements. The adjustment results are transmitted to the industrial PC through the Modbus TCP protocol. Electrical performance detection: The lamp control acquisition module is connected to the industrial PC through the USB3.0 / API interface, acquires electrical performance parameters such as the voltage and current of the lamp, and analyzes and judges them through the data acquisition unit. The PWM output module adjusts the brightness and color of the lamp, and the current acquisition module monitors the working current of the lamp in real time. Optical analysis: The optical analysis module analyzes the optical characteristics of the lamp through a color industrial camera and a high-speed industrial camera. The optical dark box and the light color calibration module ensure the accuracy of the detection. The detection results are transmitted to the industrial PC through the GIG / USB3.0 / RS485 interface. Digital processing: The digital module realizes the digital identification and traceability of the lamp through a barcode reader, a labeling device, and a network device, and the data is transmitted to the industrial PC through the TCP / USB3.0 interface.

[0037] The specific implementation method is as follows: As Figure 1 shown, it is a structural diagram of an efficient integrated intelligent headlight detection system provided by the present invention.

[0038] As an example, the system includes: an industrial PC terminal 1 and a lamp detection subsystem 2. The lamp detection subsystem 2 is used to perform airtight detection, dimming detection, and electrical inspection assembly tests on the lamp. The industrial PC terminal 1 is communicatively connected to the lamp detection subsystem, and is used to manage the lamp detection subsystem, store and display the data collected by the lamp detection subsystem, and analyze the data collected by the lamp detection subsystem; The lamp detection subsystem 2 integrates an airtight control module 200, a light pattern adjustment module 210, a lamp control acquisition module 220, an optical analysis module 230, and a digital module 240; The airtight control module 200 is used to detect the airtightness of the lamp; The light pattern adjustment module 210 is used to control the servo system and the lamp dimming structure through the PLC to make the lamp dimming structure adjust the light pattern of the lamp; The lamp control acquisition module 220 is used to collect the electrical performance data of the lamp, and analyze and judge whether the electrical performance of the lamp is normal based on the collected electrical performance data; The optical analysis module 230 is used to collect the optical image of the lamp, and analyze and detect the optical characteristics of the lamp based on the optical image data; The digital module 240 is used to realize the digital identification and traceability of the lamp.

[0039] In some feasible embodiments, a detection software is installed on the industrial PC terminal 1, and a system GUI 100, a permission management module 110, an action logic module 120, a digital integration module 130, a process monitoring module 140, and an algorithm self-learning module 150 are integrated in the detection software; the algorithm self-learning module 150 is used to continuously optimize the detection criteria and judgment logic according to the detection data; the action logic module 120 is used to automate the detection process, including one or a combination of data acquisition action logic, data processing action logic, control instruction sending action logic, human-computer interaction action logic, and system monitoring and fault handling action logic; the digital integration module 130 is used to uniformly manage and store the detection data and associate it with the lamp identification code for data traceability and query; the process monitoring module 140 has an airtightness logic and a lamp signal analysis program burned in, and is used to monitor various parameters and data in the detection process in real time, and perform real-time monitoring and early warning on the detection process. Specifically, elaborate on the specific functions of the functional modules included in the detection software in the industrial PC terminal. Permission management module 110: Assign and manage the permissions of system operators to ensure that different personnel can only perform operations with corresponding permissions and guarantee the security of system data. Action logic module 120: Set the action sequence and logical relationship of each module in the system, coordinate the collaborative work of each module, and achieve an efficient detection process. Digital integration module 130: Digitally integrate and store the data collected by each detection module for easy data query and analysis. Process monitoring module 140: Cover airtightness logic and lamp signal analysis, monitor various parameters and data in the detection process in real time, and perform real-time monitoring and early warning on the detection process. Algorithm self-learning module 150: Include image algorithms and light pattern analysis, and continuously optimize the detection algorithm by analyzing and processing the collected image and light pattern data to improve the accuracy and reliability of detection.

[0040] In the actual application process, the efficient integrated intelligent detection system of the present invention is used to detect a batch of new lamps. The system sets the permissions of different operators through the permission management module 110 to ensure the security and reliability of the detection process. The action logic module 120 automatically controls the operation sequence of each module according to the preset detection process. During the detection process, the algorithm self-learning module 150 performs real-time analysis and processing on the detection data through image algorithms and light pattern analysis algorithms, automatically identifies the optical characteristics and light pattern deviations of the lamps, and timely adjusts the parameters of the light pattern adjustment module. After the detection is completed, the digital integration module 130 uploads the detection data and lamp identification information to the factory's network server for subsequent quality management and data analysis. During the detection process, the process monitoring module 140 monitors various parameters and states in the detection process in real time. When an abnormality is detected, an alarm is immediately issued and the fault information is displayed on the system GUI.

[0041] It should be noted that before applying this system, the system needs to be built and debugged. Specifically, the airtight detection module 200, the light pattern adjustment module 210, the lamp control and acquisition module 220, the optical analysis module 230, and the digitalization module 240 are respectively connected to the industrial PC terminal 1 through corresponding communication interfaces to ensure stable connection. Install the detection software on the industrial PC terminal 1 to complete the configuration and debugging of the system GUI 100, the permission management module 110, the action logic module 120, the digital integration module 130, the process monitoring module 140, and the algorithm self-learning module 150.

[0042] In some feasible embodiments, an image algorithm program and a light pattern analysis program are burned in the algorithm self-learning module 150. The image algorithm program is used to complete the optical characteristic analysis of the lamp based on the received optical image data of the lamp sent by the optical analysis module 230; the light pattern analysis program is used to complete the light pattern detection of the lamp based on the adjusted lamp light pattern received from the light pattern adjustment module 210.

[0043] In some feasible embodiments, a pressure sensor, a differential pressure sensor, a pneumatic control valve, and an electronic pressure regulating valve are integrated in the airtight control module 200. The pressure sensor and the differential pressure sensor are used to collect the air pressure data of the lamp, and the pneumatic control valve and the electronic pressure regulating valve are used to adjust the air pressure according to a preset program; the airtight control module is connected to the industrial PC terminal through a TCP / RS485 communication interface to transmit the collected air pressure data to the process monitoring module in the industrial PC terminal, and analyze and judge the air pressure data through the airtight logic to complete the airtightness detection of the lamp. Specifically, the airtight detection process is as follows: Install the lamp on the fixture, and the pressure sensor and the differential pressure sensor of the airtight detection module 200 start to collect air pressure data, and the pneumatic control valve and the electronic pressure regulating valve adjust the air pressure according to a preset program. The collected data is transmitted to the industrial PC through the TCP / RS485 communication interface, and the airtight logic in the process monitoring module 140 analyzes and judges the data to determine whether the airtightness of the lamp is qualified.

[0044] In some feasible embodiments, a PLC controller is integrated in the light type adjustment module 210. The PLC controller interacts with the device through the DI and DO units using CANOPEN communication, controls the servo system and the lamp dimming structure to adjust the light type of the lamp, and transmits the adjusted light type to the industrial PC through the Modbus TCP communication protocol. The light type analysis in the algorithm self-learning module in the industrial PC analyzes the light type data to determine whether the light type design of the lamp meets the requirements; the light type adjustment module is further configured to obtain the torque data during the operation of the device using the DI unit. When the torque is abnormal, the PLC controller controls the device to stop running. Specifically, the process of light type adjustment and detection is as follows: The PLC of the light type adjustment module 210 interacts with the device through the DI and DO units using CANOPEN communication, controls the servo system and the lamp dimming structure, and adjusts the light type of the lamp. The adjusted light type is transmitted to the industrial PC through the Modbus TCP communication protocol, and the light type analysis in the algorithm self-learning module 150 analyzes the light type data to determine whether it meets the design requirements.

[0045] In some feasible embodiments, a data acquisition unit, a CAN / LIN unit, and a programmable power supply are integrated in the lamp control and acquisition module 220; the data acquisition unit is configured to acquire the voltage and current parameters of the lamp; the CAN / LIN unit is configured to implement communication with the lamp; the programmable power supply supplies power to the lamp according to the preset voltage and current parameters. Specifically, the lamp control and acquisition module 220 is connected to the industrial PC through a USB3.0 / API communication interface. This module includes a data acquisition unit, a CAN / LIN unit, and a programmable power supply. The data acquisition unit is configured to acquire the voltage and current parameters of the lamp, and includes a PWM output, a voltage output, a current acquisition, and an IO interface. The PWM output is used to send a PWM signal to the lamp to adjust parameters such as the brightness and color of the lamp; the voltage output module outputs a stable voltage signal; the current acquisition module real-time acquires the current data when the lamp is working; the IO interface processes the input and output signals of the lamp. The CAN / LIN unit implements communication with the lamp; the programmable power supply supplies power to the lamp according to the preset voltage and current parameters. This module is used for the power supply of the lamp, the acquisition and control of parameters such as voltage and current, the communication and data interaction with the lamp, and the analysis of the acquired electrical performance data to determine whether the electrical performance of the lamp is normal. More specifically, the process of lamp electrical performance detection is as follows: The programmable power supply of the lamp control and acquisition module supplies power to the lamp according to the preset parameters, the data acquisition unit acquires the voltage and current parameters of the lamp, and the CAN / LIN unit implements communication with the lamp. The acquired data is transmitted to the industrial PC through the USB3.0 / API communication interface, and the electrical performance data is analyzed to determine whether the electrical performance of the lamp is normal.

[0046] In some feasible embodiments, a color industrial camera, a high-speed industrial camera, an optical dark box, and a light color calibration module are integrated in the optical analysis module 230; the lamp is placed in the optical dark box, and the color industrial camera and the high-speed industrial camera are used to collect optical image data of the lamp; the light color calibration module is used to calibrate the collected optical image data; the collected optical image data is transmitted to the industrial PC 1 through a GIG / USB3.0 RS485 communication interface, and the optical characteristics of the lamp are analyzed and detected through an image algorithm inside the industrial PC 1. Specifically, the optical characteristic detection process is as follows: The lamp is placed in the optical dark box, the color industrial camera and the high-speed industrial camera collect optical image data of the lamp, and the light color calibration module calibrates the data. The collected data is transmitted to the industrial PC through a GIG / USB3.0 RS485 communication interface for optical characteristic analysis and detection.

[0047] In some feasible embodiments, a barcode reader, a labeling device, and a network device are integrated in the digitization module 240; the barcode reader is used to read the identification code of the lamp; the labeling device is used to identify the lamp; the network device is used to transmit the identification data of the lamp to the industrial PC for storage. Specifically, the digital identification and traceability process is as follows: The barcode reader of the digitization module reads the identification code of the lamp, the labeling device identifies the lamp, and the network device transmits the identification data to the industrial PC for storage, realizing the digital identification and traceability of the lamp.

[0048] In some feasible embodiments, in a specific application scenario, in a certain lamp manufacturing factory, the high-efficiency integrated intelligent detection system of the present invention is used to detect a batch of lamps on the production line. First, the lamp is installed on the fixture, and the airtight detection module 200 is automatically started. The air pressure of the lamp is tested through a pressure sensor and a differential pressure sensor, and the test result is transmitted to the industrial PC for analysis. Subsequently, according to the preset light pattern requirements, the light pattern adjustment module 210 controls the servo system and the lamp dimming structure through the PLC to adjust the light pattern of the lamp, and transmits the adjustment result to the industrial PC. Then, the lamp control acquisition module 220 acquires electrical performance parameters such as the voltage and current of the lamp, and analyzes and judges them through a data acquisition unit. The optical analysis module 230 analyzes the optical characteristics of the lamp through a color industrial camera and a high-speed industrial camera, and the optical dark box and the light color calibration module ensure the accuracy of the detection. Finally, the digitization module 240 digitally identifies the lamp through a barcode reader and a labeling device, and transmits the data to the industrial PC for traceability management. The entire detection process is monitored and intelligently analyzed in real time by the detection software, and the detection results are displayed through the system GUI for easy viewing and processing by the operator. It should be noted that the work of the above-mentioned modules can also be carried out synchronously.

[0049] In the above embodiments, by integrating various detection functions such as airtightness detection, electrical inspection, and dimming detection into one, the number of detection devices is reduced, and the detection efficiency is improved. Through the digital integration module and the algorithm self-learning module, the integration, analysis, and optimization of detection data are realized, and the detection strategy can be adjusted in real time according to the detection data, improving the accuracy and reliability of detection. By using the action logic module, process monitoring module, and permission management module, the intelligent control and management of the detection process are realized, improving the safety and stability of the system. Through the digital module, the digital identification and traceability of the lamps are realized, facilitating the tracking and management of the lamp production process and quality.

[0050] It is worth mentioning that each module involved in this embodiment is a logical unit. In actual applications, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, units that are not closely related to solving the technical problems proposed by the present invention are not introduced in this embodiment, but this does not mean that there are no other units in this embodiment.

[0051] Embodiment 2 Please refer to Figure 2 , this embodiment provides a flowchart of an efficient integrated intelligent headlight detection method.

[0052] As an example, the method is applied to the efficient integrated intelligent headlight detection system described in Embodiment 1, and the method includes: Step S1: Place the first lamp at the first station.

[0053] Step S2: Perform airtightness detection on the first lamp.

[0054] Step S3: Determine whether the airtightness detection of the first lamp is qualified. If it is qualified, the first lamp automatically rotates to the second station for electrical inspection and dimming. If the airtightness detection of the first lamp is unqualified, rework or fault handling is performed.

[0055] Step S4: During the electrical inspection and dimming of the first lamp at the second station, the first station is idle, and the second lamp is placed at the first station.

[0056] Step S5: Perform airtightness detection on the second lamp at the first station.

[0057] Step S6: Determine whether the airtightness detection of the second lamp is qualified. If it is qualified, the second lamp automatically rotates to the second station for electrical inspection and dimming. If the airtightness detection of the second lamp is unqualified, rework or fault handling is performed.

[0058] Step S7: Determine whether the electrical inspection and dimming of the first lamp are qualified. If qualified, the inspection of the first lamp is completed. If the electrical inspection and dimming of the first lamp are unqualified, rework or fault handling is performed.

[0059] Step S8: Determine whether the electrical inspection and dimming of the second lamp are qualified. If qualified, the inspection of the second lamp is completed. If the electrical inspection and dimming of the second lamp are unqualified, rework or fault handling is performed.

[0060] It is not difficult to find that this embodiment is a method embodiment corresponding to the first embodiment, and this embodiment can be implemented in cooperation with the first embodiment. The relevant technical details mentioned in the first embodiment are still valid in this embodiment. To avoid repetition, they will not be elaborated here. Correspondingly, the relevant technical details mentioned in this embodiment can also be applied to the first embodiment.

[0061] Embodiment 3 The embodiment of the present invention also proposes a storage medium, on which an efficient integrated vehicle lamp intelligent detection method is stored. When the program of the efficient integrated vehicle lamp intelligent detection is executed by a processor, the steps of the efficient integrated vehicle lamp intelligent detection method as described above are realized. Since this storage medium adopts all the technical solutions of the above-mentioned all embodiments, it has at least all the beneficial effects brought by the technical solutions of the above embodiments, and will not be elaborated one by one here.

[0062] Embodiment 4 Please refer to Figure 3 , the embodiment of the present invention also provides an electronic device, including: a memory and a processor; at least one program instruction is stored in the memory; the processor realizes the efficient integrated vehicle lamp intelligent detection method provided in Embodiment 2 by loading and executing the at least one program instruction.

[0063] The memory 702 and the processor 701 are connected in a bus manner. The bus can include any number of interconnected buses and bridges. The bus connects various circuits of one or more processors 701 and the memory 702 together. The bus can also connect various other circuits such as peripheral devices, voltage regulators, and power management circuits together, which are well known in the art. Therefore, they will not be further described herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be an element or multiple elements, such as multiple receivers and transmitters, and provides a unit for communicating with various other devices on the transmission medium. The data processed by the processor 701 is transmitted on the wireless medium through the antenna. Further, the antenna also receives data and transmits the data to the processor 701.

[0064] The processor 701 is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. The memory 702 can be used to store the data used by the processor 701 when performing operations.

[0065] The above are only embodiments of the present invention. Specific structures and common knowledge such as characteristics well known in the art are not described in detail herein. Those of ordinary skill in the art know all the common general technical knowledge in the technical field to which the invention belongs before the application date or the priority date, are able to know all the prior art in this field, and have the ability to apply the conventional experimental means before this date. Those of ordinary skill in the art can, under the inspiration given in this application, complete and implement this solution in combination with their own abilities. Some typical well-known structures or well-known methods should not be an obstacle for those of ordinary skill in the art to implement this application. It should be noted that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can still be made, and these should also be regarded as the protection scope of the present invention, and these will not affect the implementation effect of the present invention and the practicality of the patent. The protection scope required by this application should be based on the content of its claims, and the specific implementation manners and the like recorded in the specification can be used to interpret the content of the claims.

Claims

1. An efficient integrated vehicle light intelligent detection system, characterized in that: The system comprises: an industrial PC terminal and a lamp detection subsystem, wherein the lamp detection subsystem is used to perform airtight detection, dimming detection and electrical detection assembly test on the lamp, and the industrial PC terminal is in communication connection with the lamp detection subsystem, and is used to manage the lamp detection subsystem, store and display the data collected by the lamp detection subsystem, and analyze the data collected by the lamp detection subsystem; The lamp detection subsystem integrates an airtight control module, a light pattern adjustment module, a lamp control acquisition module, an optical analysis module and a digitization module; The airtightness control module is used to perform airtightness detection on the lamp; The light pattern adjustment module is used to control the servo system and the lamp dimming structure through the PLC so that the lamp dimming structure adjusts the light pattern of the lamp; The lamp control acquisition module is used to collect the electrical performance data of the lamp, and analyze the collected electrical performance data to determine whether the electrical performance of the lamp is normal; The optical analysis module is used to collect optical images of the lamp, and analyze and detect the optical characteristics of the lamp based on the optical image data; The digital module is used to realize digital identification and tracing of lamps.

2. The high-efficiency integrated vehicle light intelligent detection system according to claim 1, characterized in that: The industrial PC is installed with detection software, which integrates a system GUI, a rights management module, an action logic module, a digital integration module, a process monitoring module and an algorithm self-learning module; The algorithm self-learning module is used to continuously optimize the detection standard and judgment logic according to the detection data; The action logic module is used to realize the automation of the detection process, including one or a combination of data collection action logic, data processing action logic, control instruction sending action logic, human-computer interaction action logic and system monitoring and fault handling action logic; The digital integration module is used to uniformly manage and store the detection data, and is associated with the lamp identification code to facilitate data tracing and query; The process monitoring module is burned with airtight logic and lamp signal analysis programs, which are used to monitor various parameters and data in the detection process in real time, and to perform real-time monitoring and early warning of the detection process.

3. The efficient integrated vehicle light intelligent detection system according to claim 2, characterized in that: The algorithm self-learning module is burned with an image algorithm program and a light type analysis program. The image algorithm program is used to complete the optical characteristic analysis of the lamp based on the optical image data of the lamp sent by the optical analysis module; the light type analysis program is used to complete the light type detection of the lamp based on the adjusted light type of the lamp sent by the light type adjustment module.

4. The high-efficiency integrated vehicle light intelligent detection system according to claim 2, characterized in that: The airtight control module is integrated with a pressure sensor, a differential pressure sensor, an air-controlled valve and an electronic pressure regulating valve. The pressure sensor and the differential pressure sensor are used to collect air pressure data of the lamp, and the air-controlled valve and the electronic pressure regulating valve are used to adjust the air pressure according to a preset program; The airtight control module is connected to the industrial PC via a TCP / RS485 communication interface to transmit the collected air pressure data to the process monitoring module in the industrial PC, and the air pressure data is analyzed and judged through airtight logic to complete the airtightness detection of the lamp.

5. The efficient integrated vehicle light intelligent detection system according to claim 1, characterized in that: The light pattern adjustment module is integrated with a PLC controller, which interacts with the device through CANOPEN communication using DI and DO units to control the servo system and the lamp dimming structure to adjust the light pattern of the lamp, and transmits the adjusted light pattern to the industrial PC through the Modbus TCP communication protocol. The light pattern analysis in the algorithm self-learning module on the industrial PC side analyzes the light pattern data to determine whether the light pattern design of the lamp meets the requirements; The light pattern adjustment module is also used to use the DI unit to obtain torque data when the equipment is running. When the torque is abnormal, the PLC controller controls the equipment to stop running.

6. The efficient integrated vehicle light intelligent detection system according to claim 1, characterized in that: The lighting control acquisition module integrates a data acquisition unit, a CAN / LIN unit and a programmable power supply; The data acquisition unit is used to collect voltage and current parameters of the lamp; The CAN / LIN unit is used to realize communication with the lamp; The programmable power supply supplies power to the lamp according to preset voltage and current parameters.

7. The efficient integrated vehicle light intelligent detection system according to claim 1, characterized in that: The optical analysis module integrates a color industrial camera, a high-speed industrial camera, an optical dark box and a light and color calibration module; The lamp is placed in the optical dark box, and the color industrial camera and the high-speed industrial camera are used to collect optical image data of the lamp; The light color calibration module is used to calibrate the collected optical image data; The collected optical image data is transmitted to the industrial PC through the GIG / USB3.0 RS485 communication interface, and the optical characteristics of the lamp are analyzed and detected through the image algorithm inside the industrial PC.

8. The efficient integrated vehicle light intelligent detection system according to claim 1, characterized in that: The digital module is integrated with a code reader, a label device and a network device; The code reader is used to read the identification code of the lamp; The label device is used to identify the lamp; The network device is used to transmit the identification data of the lamp to the industrial PC for storage.

9. The efficient integrated vehicle light intelligent detection system according to claim 2, characterized in that: The process monitoring module is also used to monitor various parameters and status during the detection process in real time. When an abnormality is detected, an alarm is immediately issued and fault information is displayed on the system GUI.

10. An efficient integrated vehicle light intelligent detection method, characterized in that: The method is applied to the efficient integrated vehicle light intelligent detection system according to any one of claims 1 to 9, and the method comprises: Step S1: placing a first lamp on a first workstation; Step S2: performing airtightness detection on the first lamp; Step S3: Determine whether the airtightness test of the first lamp is qualified. If qualified, the first lamp automatically rotates to the second station, and performs electrical inspection and dimming at the second station. If the airtightness test of the first lamp is unqualified, rework or fault handling is performed; Step S4: during the period when the first lamp is electrically inspected and dimmed at the second station, the first station is idle, and the second lamp is placed at the first station; Step S5: performing an airtightness test on the second lamp at the first workstation; Step S6: Determine whether the airtightness test of the second lamp is qualified. If qualified, the second lamp automatically rotates to the second station, and performs electrical inspection and dimming at the second station. If the airtightness test of the second lamp is unqualified, rework or fault handling is performed; Step S7: determining whether the first lamp is qualified in the electrical inspection and dimming. If qualified, the first lamp completes the inspection. If the first lamp is unqualified in the electrical inspection and dimming, rework or fault handling is performed. Step S8: Determine whether the second lamp passes the electrical dimming test. If so, the second lamp completes the test. If the second lamp fails the electrical dimming test, rework or troubleshooting is performed.

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