Car trunk lock function detection system

Abstract

The present application relates to a car trunk lock function detection system, which includes a car trunk mold, a driving computer, a detection controller, a trigger simulation module, a scene construction module, a signal monitoring module and a video verification module. The detection controller is used to obtain detection requirements, make decisions and generate detection plans, and the detection plan includes at least one functional detection item, at least one functional detection process, at least one detection scene and equipment parameter information; the trigger simulation module is used to trigger the function of the car trunk lock according to the detection plan and the function detection process to achieve unlocking and locking of the car trunk lock; the scene construction module is used to construct a detection scene according to the detection plan; the signal monitoring module is used to collect and monitor the data signals of the car trunk lock and the driving computer according to the detection plan and the function detection process. The present application can effectively improve the detection efficiency and detection accuracy of the car trunk lock.

Description

Technical Field

[0001] The present application relates to the field of trunk detection, and in particular to a system for detecting the function of a trunk lock of an automobile. Background Art

[0002] The car trunk lock helps the car owner to accurately unlock and lock the trunk when opening and closing the trunk. When unlocking, the bolt mechanism in the lock body is released under the drive of the unlocking motor, the lock hook opens, and the trunk is unlocked. At the same time, the switch in the lock body used to monitor the lock status (open and closed) is also turned on or off accordingly, informing the car computer that the lock has been opened normally, and vice versa. However, with the development of technology, in order to improve the user experience, the existing car trunk locks have more and more functions, and the unlocking and locking methods are becoming more and more diverse. Therefore, how to efficiently and accurately detect the various functions of the randomly inspected car trunk locks is a problem that must be solved.

[0003] The Chinese patent application with the announcement number CN104076715A discloses a car trunk lock function detection device, including a computer acquisition and processing system, a torque test module, a tension test module, a laser marking system, a CCD image detection system, and a programmable controller connected to the computer acquisition and processing system. The torque test module and the tension test module are used to realize automatic mechanical unlocking test, and the existing multifunctional car trunk lock cannot perform comprehensive and efficient tests on its functions.

[0004] With respect to the above-mentioned related technologies, how to efficiently and accurately detect various functions of the car trunk lock is a technical problem to be solved. Summary of the invention

[0005] In order to solve the above problems, the present application provides a car trunk lock function detection system.

[0006] In the first aspect, the present application provides a car trunk lock function detection system, which adopts the following technical solutions:

[0007] A vehicle trunk lock function detection system, comprising:

[0008] Car trunk mold, used to install the car trunk lock to be tested;

[0009] The driving computer is used to receive user information to control the opening and closing of the car trunk lock;

[0010] A detection controller is used to obtain detection requirements, make decisions and generate detection plans, wherein the detection plans include at least one functional detection item, at least one functional detection process, at least one detection scenario and equipment parameter information;

[0011] A trigger simulation module is used to trigger the function of the car trunk lock according to the detection plan and the function detection process, so as to realize unlocking and locking of the car trunk lock;

[0012] A scene construction module, including an environment simulation unit and a plurality of movable scene objects, for constructing a detection scene according to a detection scheme;

[0013] A signal monitoring module is used to collect and monitor data signals of the car trunk lock and the driving computer according to the detection plan and the functional detection process; and,

[0014] A video verification module includes a video acquisition device and a visual detection model. The video acquisition device acquires image information in the function detection process of the automobile trunk lock and sends it to the visual detection model. The visual detection model verifies the appearance and operation status of the automobile trunk lock based on the acquired image information and outputs the verification result.

[0015] The trigger simulation module, scene construction module, signal monitoring module and video verification module are all communicatively connected to the detection controller; the detection controller controls the trigger simulation module, scene construction module, signal monitoring module and video verification module to perform functional detection on the car trunk lock according to the detection scheme.

[0016] Preferably, the trigger simulation module includes a mechanical trigger unit for mechanically triggering the car trunk lock to control its opening and closing, a remote trigger unit for remotely triggering the car trunk lock to control its opening and closing, and a bionic trigger unit for bionic induction triggering the car trunk lock to control its opening and closing.

[0017] Preferably, the bionic trigger unit includes a hand simulation component and a foot simulation component, and the bottom of the hand simulation component and the foot simulation component are both provided with a moving part for driving their displacement; the hand simulation component includes a multi-axis manipulator and a hand air gripper and a fingerprint part installed at the output end of the multi-axis manipulator, and the fingerprint part is provided with a silicone fingerprint film.

[0018] Preferably, the foot simulation assembly includes a mounting frame, a Z-axis linear guide arranged on the mounting frame in a vertical direction, an X-axis linear guide installed on a slider of the Z-axis linear guide, and a Y-axis linear guide installed on a slider of the X-axis linear guide. A prosthetic leg part is installed on the slider of the Y-axis linear guide, and the prosthetic leg part includes a skeleton body, an infrared generator installed on the skeleton body, and simulated clothing mounted on the skeleton body.

[0019] Preferably, the scene construction module also includes a number of AGV scenery vehicles for moving scene objects; the scene objects include a carrying base and scene props detachably mounted on the carrying base, a plurality of universal wheels are mounted on the bottom of the carrying base; a receiving groove for accommodating the AGV scenery vehicle is arranged at the bottom of the carrying base, a plurality of locking feet are distributed at the bottom of the carrying base, a plurality of locking feet tops are all slidably arranged in the carrying base and are commonly connected with a connecting rod, a control column is slidably arranged in the receiving groove of the carrying base, the control column is slidably arranged in the carrying base and is connected with the connecting rod; a fixed connecting rod is arranged on the loading platform on the top of the AGV scenery vehicle, and a fixed groove for accommodating the fixed connecting rod is arranged at the bottom of the control column.

[0020] Preferably, the environmental simulation unit includes an air conditioning component for adjusting the temperature, humidity and air volume of the test environment, a rainfall simulation component for simulating different rainfall amounts, and a sunshine simulation component for simulating different sunshine conditions.

[0021] Preferably, the obtaining of detection requirements and decision-making to generate a detection plan specifically includes the following steps:

[0022] Establish a machine learning model, collect historical function detection data of car trunk locks, iteratively train the machine learning model to obtain a detection decision model;

[0023] Based on the model of the car trunk lock, the detection requirements are retrieved, and the detection requirements include the lock body mold requirements and the function detection requirements. The function detection requirements include the name information of several function detection items, the detection environment requirement information and the detection standard information;

[0024] The detection requirements are sent to the detection decision model for intelligent decision-making to generate a detection plan.

[0025] Preferably, the control of the trigger simulation module, the scene construction module, the signal monitoring module and the video verification module to perform function detection on the car trunk lock according to the detection scheme specifically includes the following steps:

[0026] S1, after the trunk lock to be detected is installed on the trunk mold and the connection and debugging with the driving computer are completed, the detection controller sends a reset instruction to the trigger simulation module, the scene construction module, the signal monitoring module and the video verification module for reset;

[0027] S2, the detection controller sends device parameter information to the trigger simulation module, scene construction module, signal monitoring module and video verification module for parameter setting according to the detection scheme;

[0028] S3, the detection controller selects a functional detection item according to the detection scheme, generates a control instruction according to the functional detection process and sends it to the scene construction module, controls the startup of the environment simulation unit and the movement of each scene object to construct the required detection scene;

[0029] S4, the detection controller sends a control instruction to the trigger simulation module to control the trigger simulation module to open and close the car trunk lock according to the function detection process;

[0030] S5, the detection controller sends a control instruction to the signal monitoring module and the video verification module so that they cooperate with the detection controller to perform a function test on the car trunk lock according to the function test process;

[0031] S6. After the test is completed, determine whether there are any unperformed functional test items;

[0032] S7, if it exists, jump to step S3;

[0033] S8. If it does not exist, output the detection result.

[0034] In summary, the present application includes at least one of the following beneficial technical effects:

[0035] Through the setting of the detection controller, according to the actual detection requirements of the car trunk lock, intelligent decision-making generates a detection plan, customizes a dedicated detection process, and realizes fully automatic, efficient and accurate detection of the car trunk lock;

[0036] According to the detection scheme, the trigger unit corresponding to the trigger simulation module is selected according to the functional detection process of each functional detection item. The control scene construction module builds the environment required for the detection according to the functional detection process according to the actual detection requirements, and then controls the trigger simulation module to trigger the detection of the function of the car trunk lock according to the detection process. At the same time, the signal monitoring module collects and monitors the data signals of the car trunk lock and the driving computer during the function triggering process. The video verification module collects and visually detects the external performance of the car trunk lock function triggering and the triggering process of the trunk lock, so as to achieve accurate detection of the functional items of the car trunk lock, thereby effectively improving the detection efficiency and detection accuracy of the car trunk lock.

[0037] By setting up a bionic trigger unit and using hand simulation components and foot simulation components to simulate the human-vehicle interaction process, the human-vehicle interaction function of the car trunk lock can be detected more accurately, which helps to improve the detection accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] Figure 1 This is a system block diagram of a car trunk lock function detection system in an embodiment of the present application;

[0039] Figure 2is a schematic diagram of the structure of a foot simulation component in an embodiment of the present application;

[0040] Figure 3 It is a structural schematic diagram of the scene object and the AGV scenery vehicle in the embodiment of the present application;

[0041] Figure 4 yes Figure 3 A partial enlarged schematic diagram of part A;

[0042] Figure 5 is a flow chart of a method for generating a detection scheme in an embodiment of the present application;

[0043] Figure 6 It is a flow chart of a method for performing function detection on a car trunk lock by a car trunk lock function detection system in an embodiment of the present application.

[0044] Description of the accompanying drawings: 1. Automobile trunk mold; 2. Driving computer; 3. Detection controller; 4. Trigger simulation module; 41. Mechanical trigger unit; 42. Remote trigger unit; 43. Bionic trigger unit; 44. Hand simulation component; 441. Multi-axis manipulator; 442. Hand air claw; 443. Fingerprint unit; 444. Silicone fingerprint film; 45. Foot simulation component; 451. Mounting frame; 452. Z-axis linear guide; 453. X-axis linear guide; 454. Y-axis linear guide; 455. Prosthetic leg; 456. Skeleton body; 457. Infrared generator; 4 58. Simulated clothing; 46. Moving part; 5. Scene construction module; 51. Environmental simulation unit; 511. Air conditioning component; 512. Rainfall simulation component; 513. Sunlight simulation component; 52. Scene objects; 521. Carrying base; 522. Scene props; 523. Universal wheel; 524. Receiving slot; 525. Locking foot; 526. Linking rod; 527. Control column; 528. Fixed slot; 53. AGV scenery vehicle; 531. Fixed connecting rod; 6. Signal monitoring module; 7. Video verification module; 71. Video acquisition equipment; 72. Visual detection model. DETAILED DESCRIPTION

[0045] The following is combined with Figure 1-6 This application is described in further detail.

[0046] The present application embodiment discloses a vehicle trunk lock function detection system. Figure 1, a car trunk lock function detection system, including a car trunk mold 1, a driving computer 2, a detection controller 3, a trigger simulation module 4, a scene construction module 5, a signal monitoring module 6 and a video verification module 7. The trigger simulation module 4, the scene construction module 5, the signal monitoring module 6 and the video verification module 7 are all connected to the detection controller 3. Among them, the car trunk mold 1 is used for installing the car trunk lock to be detected, and the driving computer 2 receives user information to control the opening and closing of the car trunk lock. The detection controller 3 is used to obtain the detection requirements, make decisions and generate a detection plan, and the detection plan includes at least one functional detection item, at least one functional detection process, at least one detection scene and equipment parameter information. The trigger simulation module 4 is used to trigger the function of the car trunk lock according to the detection plan and the functional detection process, so as to realize the unlocking and locking of the car trunk lock. The scene construction module 5 is used to construct the detection scene according to the detection plan. The signal monitoring module 6 is used to collect and monitor the data signals of the car trunk lock and the driving computer 2 according to the detection plan and the functional detection process. The video verification module 7 includes a video acquisition device 71 and a visual detection model 72. The video acquisition device 71 acquires image information in the process of detecting the function of the trunk lock of the automobile and sends it to the visual detection model 72. The visual detection model 72 verifies the appearance and operation of the trunk lock of the automobile based on the acquired image information and outputs the verification result. The detection controller 3 controls the trigger simulation module 4, the scene construction module 5, the signal monitoring module 6 and the video verification module 7 to perform the function detection on the trunk lock of the automobile according to the detection scheme. Through the setting of the detection controller 3, according to the actual detection requirements of the car trunk lock, the detection plan is generated through intelligent decision-making, and an exclusive detection process is customized to realize fully automatic, efficient and accurate detection of the car trunk lock; then, according to the detection plan and the functional detection process of each functional detection item, the trigger unit corresponding to the trigger simulation module 4 is selected, and the scene construction module 5 is controlled to build the environment required for the detection according to the functional detection process according to the actual detection requirements, such as a parking lot blocked by pillars, surrounded on all sides, an independent garage, an open-air parking space surrounded by green belts, etc.; then the trigger simulation module 4 is controlled to trigger the detection of the function of the car trunk lock according to the detection process, and at the same time, the signal monitoring module 6 is used to collect and monitor the data signals of the car trunk lock and the driving computer 2 during the function triggering process, and the video verification module 7 performs video acquisition and visual detection on the external performance of the car trunk lock function triggering and the triggering process of the trunk lock, so as to realize accurate detection of the functional items of the car trunk lock, thereby effectively improving the detection efficiency and detection accuracy of the car trunk lock.

[0047] In addition, the visual detection model 72 is a convolutional neural network model that generates learning samples through a standard video triggered by a car trunk lock function and undergoes deep learning iterative training, wherein the specific training steps are prior art and will not be described in detail here.

[0048] Reference Figure 1The trigger simulation module 4 includes a mechanical trigger unit 41 for mechanically triggering the trunk lock of the car to control its opening and closing, a remote trigger unit 42 for remotely triggering the trunk lock of the car to control its opening and closing, and a bionic trigger unit 43 for bionic induction triggering the trunk lock of the car to control its opening and closing. The mechanical trigger unit 41 is used to simulate the user using a key and pressing a button to open and close the trunk lock of the car. It can be realized by using a multi-axis manipulator 441 or other multi-axis displacement equipment in conjunction with a stroke cylinder. The remote trigger unit 42 is used to simulate the user's contactless opening and closing triggering of the trunk lock of the car, such as key remote control, card swiping induction, network remote control, voice control, etc., which can be realized by an AGV car or other remote control displacement equipment in conjunction with an inductive trigger object. Through the setting of the trigger simulation module 4, by setting a variety of trigger units, it is possible to meet its detection requirements according to the actual functions of the trunk lock of the car, and achieve the effect of efficient and accurate detection of various functions of the trunk lock of the car.

[0049] Reference Figure 1 and Figure 2 , the bionic trigger unit 43 includes a hand simulation component 44 and a foot simulation component 45. The bottom of the hand simulation component 44 and the foot simulation component 45 are both provided with a moving part 46 for driving their displacement. In the embodiment of the present application, the moving part 46 adopts an AGV trolley. The hand simulation component 44 includes a multi-axis manipulator 441, a hand air gripper 442 installed at the output end of the multi-axis manipulator 441, and a fingerprint part 443, and the fingerprint part 443 is provided with a silicone fingerprint film 444. The fingerprint part 443 can be set separately at the output end of the multi-axis manipulator 441, or it can be transformed and generated on the gripper of the air gripper. Due to the continuous development of the current trend of human-vehicle interaction and the continuous iteration of human-vehicle interaction technology, more and more car trunk locks are equipped with human-vehicle interaction functions in conjunction with the driving computer 2. Therefore, through the setting of the bionic trigger unit 43, the hand simulation component 44 and the foot simulation component 45 are used to simulate the human-vehicle interaction process, so that the human-vehicle interaction function of the car trunk lock can be more accurately detected, which helps to improve the detection accuracy.

[0050] Reference Figure 1 and Figure 2The foot simulation component 45 includes a mounting frame 451, a Z-axis linear guide 452 arranged on the mounting frame 451 in the vertical direction, an X-axis linear guide 453 installed on the slider of the Z-axis linear guide 452, and a Y-axis linear guide 454 installed on the slider of the X-axis linear guide 453. A prosthetic leg part 455 is installed on the slider of the Y-axis linear guide 454. The prosthetic leg part 455 includes a skeleton body 456, an infrared generator 457 installed on the skeleton body 456, and a simulated clothing 458 sleeved on the skeleton body 456. Through the arrangement of the three linear guides, the prosthetic leg part 455 can be driven to move arbitrarily in the space, thereby simulating various leg movements; and through the arrangement of the prosthetic leg part 455 and the infrared generator 457, various human-computer interaction verification mechanisms can be applied, which helps to improve the detection accuracy.

[0051] Reference Figure 1-Figure 4 The scene construction module 5 includes an environment simulation unit 51, a plurality of movable scene objects 52, and a plurality of AGV scenery vehicles 53 for moving the scene objects 52. The scene objects 52 include a bearing base 521 and a scene prop 522 detachably mounted on the bearing base 521, and a plurality of universal wheels 523 are mounted at the bottom of the bearing base 521. A receiving groove 524 for accommodating the AGV scenery vehicle 53 is arranged at the bottom of the bearing base 521. A plurality of locking legs 525 are distributed at the bottom of the bearing base 521, and the tops of the plurality of locking legs 525 are all slidably arranged in the bearing base 521 and are commonly connected with a linkage rod 526. A control column 527 is slidably arranged in the receiving groove 524 of the bearing base 521, and the control column 527 is slidably arranged in the bearing base 521 and is connected with the linkage rod 526. A fixed connecting rod 531 is arranged on the loading platform at the top of the AGV scenery vehicle 53, and a fixed groove 528 for accommodating the fixed connecting rod 531 is arranged at the bottom of the control column 527. When the scene needs to be set, the AGV scene vehicle moves to the receiving slot 524, the loading platform rises, the fixed connecting rod 531 is inserted into the fixed slot 528, and the loading platform continues to rise until it abuts the load-bearing base 521. At this time, the control column 527 is lifted up by the loading platform, and the locking legs 525 are driven to rise through the connecting rod 526, and then the AGV vehicle drives the scene object 52 to move. Through the setting of the AGV scene vehicle 53 and the scene object 52, the AGV scene vehicle 53 can be controlled to drive the scene object 52 to move according to the detection process, and cooperate with the environmental simulation unit 51 to create a detection scene that meets the detection requirements, which can adapt to the detection requirements of various types of car trunk locks, and achieve the effect of efficient and accurate detection of various functions of the car trunk lock.

[0052] Reference Figure 1 and Figure 2The environment simulation unit 51 includes an air conditioning component 511 for adjusting the temperature, humidity and air volume of the test environment, a rainfall simulation component 512 for simulating different rainfall amounts, and a sunshine simulation component 513 for simulating different sunshine conditions. The air conditioning component 511, the rainfall simulation component 512 and the sunshine simulation component 513 are all prior arts and will not be described in detail here.

[0053] Reference Figure 5 The acquisition of detection requirements and decision-making to generate a detection plan specifically include the following steps:

[0054] A1. Model building: Build a machine learning model, collect historical function detection data of car trunk locks, iteratively train the machine learning model to obtain a detection decision model;

[0055] A2. Obtaining requirements: Retrieving the testing requirements based on the car trunk lock model, the testing requirements include the lock body mold requirements and the functional testing requirements, the functional testing requirements include the name information of several functional testing items, the testing environment requirement information and the testing standard information;

[0056] A3. Generate a plan: Send the detection requirements to the detection decision model for intelligent decision-making to generate a detection plan. By establishing a detection decision model, it is possible to generate a detection plan based on the actual detection requirements of the car trunk lock, customize a dedicated detection process, and achieve fully automatic, efficient and accurate detection of the car trunk lock. It can adapt to the detection requirements of various types of car trunk locks and achieve the effect of efficient and accurate detection of various functions of the car trunk lock.

[0057] Reference Figure 6 The control of the trigger simulation module 4, the scene construction module 5, the signal monitoring module 6 and the video verification module 7 to perform function detection on the car trunk lock according to the detection scheme specifically includes the following steps:

[0058] S1, installation reset: after the trunk lock to be detected is installed on the trunk mold 1 and the connection and debugging with the driving computer 2 are completed, the detection controller 3 sends a reset instruction to the trigger simulation module 4, the scene construction module 5, the signal monitoring module 6 and the video verification module 7 for reset;

[0059] S2, parameter setting: the detection controller 3 sends device parameter information to the trigger simulation module 4, the scene construction module 5, the signal monitoring module 6 and the video verification module 7 according to the detection scheme to perform parameter setting;

[0060] S3, scene construction: the detection controller 3 selects a functional detection item according to the detection scheme, generates a control instruction according to the functional detection process and sends it to the scene construction module 5, controls the environment simulation unit 51 to start and each scene object 52 to move to construct the required detection scene;

[0061] S4, opening and closing the trunk lock of the car: the detection controller 3 sends a control instruction to the trigger simulation module 4, and controls the trigger simulation module 4 to open and close the trunk lock of the car according to the function detection process;

[0062] S5, function detection: the detection controller 3 sends a control instruction to the signal monitoring module 6 and the video verification module 7 so that they cooperate with the detection controller 3 to perform a function detection on the car trunk lock according to the function detection process;

[0063] S6. After the test is completed, determine whether there are any unperformed functional test items;

[0064] S7, if it exists, jump to step S3;

[0065] S8, if it does not exist, then output the test result. Through the above steps, after resetting and setting parameters according to the test scheme; select the trigger unit corresponding to the trigger simulation module 4 according to the function test process of each function test item, control the scene construction module 5 to build the environment required for the test according to the function test process according to the actual test requirements, such as a parking lot blocked by pillars, surrounded on all sides, an independent garage, an open-air parking space surrounded by green belts, etc.; then control the trigger simulation module 4 to trigger the test of the function of the car trunk lock according to the test process, and at the same time, the signal monitoring module 6 collects and monitors the data signals of the car trunk lock and the driving computer 2 during the function triggering process, and the video verification module 7 collects and visually detects the external performance of the car trunk lock function triggering and the triggering process of the trunk lock, so as to achieve accurate detection of the functional items of the car trunk lock, and effectively improve the detection efficiency and detection accuracy of the car trunk lock.

[0066] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the scope of protection of the invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on these embodiments, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in this field can still combine, add, delete or make other adjustments to the features in the various embodiments of the present invention according to the circumstances without conflict, without making creative work, so as to obtain different other technical solutions that do not deviate from the concept of the present invention in essence, and these technical solutions also belong to the scope of protection of the present invention.

Claims

1. A car trunk lock function detection system, characterized in that: include: A car trunk mold (1), used for installing a car trunk lock to be tested; A driving computer (2), used for receiving user information to control the opening and closing of the trunk lock of the vehicle; A detection controller (3) is used to obtain detection requirements, make decisions and generate detection plans, wherein the detection plans include at least one functional detection item, at least one functional detection process, at least one detection scenario and equipment parameter information; A trigger simulation module (4) is used to trigger the function of the car trunk lock according to the detection scheme and the function detection process, so as to unlock and lock the car trunk lock; A scene construction module (5), comprising an environment simulation unit (51) and a plurality of movable scene objects (52), for constructing a detection scene according to a detection scheme; A signal monitoring module (6) is used to collect and monitor data signals of the trunk lock and the on-board computer (2) according to a detection plan and a functional detection process; as well as, A video verification module (7) comprises a video acquisition device (71) and a visual detection model (72), wherein the video acquisition device (71) acquires image information in a function detection process of a car trunk lock and sends the image information to the visual detection model (72), and the visual detection model (72) verifies the appearance and operating status of the car trunk lock based on the acquired image information and outputs a verification result; The trigger simulation module (4), the scene construction module (5), the signal monitoring module (6) and the video verification module (7) are all in communication connection with the detection controller (3); the detection controller (3) controls the trigger simulation module (4), the scene construction module (5), the signal monitoring module (6) and the video verification module (7) to perform a function test on the trunk lock of the automobile according to the detection scheme; The trigger simulation module (4) comprises a mechanical trigger unit (41) for mechanically triggering the automobile trunk lock to control its opening and closing, a remote trigger unit (42) for remotely triggering the automobile trunk lock to control its opening and closing, and a bionic trigger unit (43) for bionic induction triggering the automobile trunk lock to control its opening and closing; The bionic trigger unit (43) comprises a hand simulation component (44) and a foot simulation component (45), and the bottom of each of the hand simulation component (44) and the foot simulation component (45) is provided with a moving part (46) for driving the displacement thereof; the hand simulation component (44) comprises a multi-axis manipulator (441), a hand air gripper (442) and a fingerprint part (443) installed at the output end of the multi-axis manipulator (441), and the fingerprint part (443) is provided with a silicone fingerprint film (444); The foot simulation component (45) comprises a mounting frame (451), a Z-axis linear guide (452) arranged on the mounting frame (451) in a vertical direction, an X-axis linear guide (453) installed on a slider of the Z-axis linear guide (452), and a Y-axis linear guide (454) installed on a slider of the X-axis linear guide (453); a prosthetic leg part (455) is installed on the slider of the Y-axis linear guide (454); the prosthetic leg part (455) comprises a skeleton body (456), an infrared generator (457) installed on the skeleton body (456), and a simulated garment (458) sleeved on the skeleton body (456); The scene construction module (5) also includes a plurality of AGV scenery vehicles (53) for moving scene objects (52); the scene objects (52) include a bearing base (521) and a scene prop (522) detachably mounted on the bearing base (521); a plurality of universal wheels (523) are mounted on the bottom of the bearing base (521); a receiving groove (524) for accommodating the AGV scenery vehicle (53) is arranged at the bottom of the bearing base (521); a plurality of locking legs (525) are distributed at the bottom of the bearing base (521); The tops of the locking legs (525) are slidably arranged in the bearing base (521) and are commonly connected to a linkage rod (526); the receiving groove (524) of the bearing base (521) is slidably arranged with a control column (527); the control column (527) is slidably arranged in the bearing base (521) and is connected to the linkage rod (526); the loading platform on the top of the AGV scenery vehicle (53) is provided with a fixed connecting rod (531); the bottom of the control column (527) is provided with a fixed groove (528) for accommodating the fixed connecting rod (531).

2. The automobile trunk lock function detection system according to claim 1 is characterized in that: The environmental simulation unit (51) comprises an air conditioning component (511) for adjusting the temperature, humidity and air volume of the test environment, a rainfall simulation component (512) for simulating different rainfall amounts, and a sunshine simulation component (513) for simulating different sunshine conditions.

3. The automobile trunk lock function detection system according to claim 1, characterized in that: The obtaining of detection requirements and decision-making to generate a detection plan specifically includes the following steps: Establish a machine learning model, collect historical function detection data of car trunk locks, iteratively train the machine learning model to obtain a detection decision model; Based on the car trunk lock model, retrieve the detection requirements, which include lock body mold requirements and function detection requirements, and the function detection requirements include name information of several function detection items, detection environment requirement information and detection standard information; The detection requirements are sent to the detection decision model for intelligent decision-making to generate a detection plan.

4. The automobile trunk lock function detection system according to claim 1, characterized in that: The method of controlling the trigger simulation module (4), the scene construction module (5), the signal monitoring module (6) and the video verification module (7) to perform function detection on the trunk lock of the automobile according to the detection scheme specifically comprises the following steps: S1, after the trunk lock to be detected is installed on the trunk mold (1) and the connection and debugging with the vehicle computer (2) are completed, the detection controller (3) sends a reset instruction to the trigger simulation module (4), the scene construction module (5), the signal monitoring module (6) and the video verification module (7) to reset; S2, the detection controller (3) sends device parameter information to the trigger simulation module (4), the scene construction module (5), the signal monitoring module (6) and the video verification module (7) according to the detection scheme to perform parameter setting; S3, the detection controller (3) selects a functional detection item according to the detection scheme, generates a control instruction according to the functional detection process and sends it to the scene construction module (5), controls the environment simulation unit (51) to start and each scene object (52) to move to construct the required detection scene; S4, the detection controller (3) sends a control instruction to the trigger simulation module (4), controlling the trigger simulation module (4) to open and close the car trunk lock according to the function detection process; S5, the detection controller (3) sends a control instruction to the signal monitoring module (6) and the video verification module (7) so that the module cooperates with the detection controller (3) to perform a function test on the trunk lock of the automobile according to the function test process; S6. After the test is completed, determine whether there are any unperformed functional test items; S7, if it exists, jump to step S3; S8. If it does not exist, output the detection result.

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