On-line testing method for auxiliary aiming device

Abstract

The present invention discloses an online testing method for an auxiliary aiming device, wherein a plurality of luminous point data are collected according to the online testing of the auxiliary aiming device, and a first deviation of the auxiliary aiming device during movement is determined according to the plurality of luminous point data and the model of the auxiliary aiming device, thereby ensuring the preliminary accuracy of the first deviation. Further, a final deviation is determined according to an environmental coefficient, a moving range of the auxiliary aiming device, and the first deviation; the environmental coefficient, the moving range of the auxiliary aiming device, and the first deviation are introduced, and the final deviation is outputted, and the final deviation is further controlled, thereby realizing multiple controls of the luminous deviation, thereby defining the use state of the auxiliary aiming device based on the luminous deviation, and realizing the test accuracy and autonomous optimization effect of the auxiliary aiming device in the online test.

Description

Technical Field

[0001] The present invention relates to the technical field of auxiliary aiming devices, and in particular to an online testing method for auxiliary aiming devices. Background Art

[0002] With the development of science and technology, auxiliary aiming devices are equipped in various products. The auxiliary aiming devices are equipped with LEDs. The LEDs emit test light when in working state. In the prior art, the auxiliary aiming devices move with the movement of the user, and the test light output by the LEDs shifts with the movement of the auxiliary aiming devices. However, it is impossible to control the deviation amount of the test light, and it is impossible to achieve autonomous optimization of the auxiliary aiming devices in various dimensions. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art. The present invention provides an online testing method for an auxiliary aiming device. The method determines the posture of the auxiliary aiming device based on a positioning test of the current position of the auxiliary aiming device; determines the test mode of the auxiliary aiming device according to the posture of the auxiliary aiming device, the relative space between the auxiliary aiming device and a test device, the moving direction of the auxiliary aiming device and the model of the test device; triggers the online test of the auxiliary aiming device by the test device based on the test mode, collects multiple light-emitting point data according to the online test of the auxiliary aiming device, determines the first deviation of the auxiliary aiming device in the moving process according to the multiple light-emitting point data and the model of the auxiliary aiming device, is compatible with the multi-dimensional control of the multiple light-emitting point data and the model of the auxiliary aiming device, and ensures the initial accuracy of the first deviation.

[0004] Furthermore, the environmental coefficient is determined according to the light distribution in the relative space, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform, and the final deviation is determined according to the environmental coefficient, the movement range of the auxiliary aiming device and the first deviation; if the final deviation is greater than the luminous deviation threshold, the self-test of the auxiliary aiming device is triggered according to the relative amount between the final deviation and the luminous deviation threshold, the environmental coefficient, the movement range of the auxiliary aiming device and the first deviation are introduced, and the final deviation is output, and the final deviation is further controlled, thereby realizing multiple controls of the luminous deviation, thereby defining the use state of the auxiliary aiming device based on the luminous deviation, and being compatible with the multiple controls of the luminous state of the LED, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform, thereby ensuring the autonomous optimization of the auxiliary aiming device in various dimensions, and realizing the test accuracy and autonomous optimization effect of the auxiliary aiming device in the online test.

[0005] The embodiment of the present invention provides an online testing method for an auxiliary aiming device, which is applied to an online testing scenario of the auxiliary aiming device;

[0006] The online testing method of the auxiliary aiming device comprises:

[0007] determining a posture of the auxiliary aiming device based on a positioning test of the current position of the auxiliary aiming device;

[0008] Determine the test mode of the auxiliary aiming device according to the posture of the auxiliary aiming device, the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device and the model of the test equipment;

[0009] Based on the test mode, the test equipment is triggered to conduct an online test on the auxiliary aiming device. At this time, the auxiliary aiming device has an LED built in, and the test equipment collects the moving position of the LED;

[0010] Collecting a plurality of light-emitting point data according to an online test of the auxiliary aiming device, and determining a first deviation amount of the auxiliary aiming device during movement according to the plurality of light-emitting point data and a model of the auxiliary aiming device;

[0011] Determine an environmental coefficient according to the light distribution in the relative space, the online movement coefficient of the auxiliary aiming device, and the vibration coefficient of the mobile platform, and determine a final deviation according to the environmental coefficient, the movement range of the auxiliary aiming device, and the first deviation;

[0012] If the final deviation is greater than the luminous deviation threshold, the self-test of the auxiliary aiming device is triggered according to the relative amount between the final deviation and the luminous deviation threshold, and the luminous state of the LED is determined according to the self-test of the auxiliary aiming device. According to the luminous state of the LED, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform, the autonomous optimization of the auxiliary aiming device in various dimensions is triggered.

[0013] Optionally, the determining the posture of the auxiliary aiming device based on the positioning test of the current position of the auxiliary aiming device includes:

[0014] When the auxiliary aiming device is mounted on the mobile platform, positioning the auxiliary aiming device;

[0015] Collect the current position of the auxiliary aiming device;

[0016] determining a test space based on a current position of the auxiliary aiming device and a moving range of the mobile platform;

[0017] Determine the test method according to the test space, the model of the auxiliary aiming device, and the relative position between the auxiliary aiming device and the mobile platform;

[0018] Based on the test mode and the current position of the auxiliary aiming device, a corresponding positioning test is triggered, and a plurality of posture data of the auxiliary aiming device in different dimensions are collected, and the posture of the auxiliary aiming device is determined according to the plurality of posture data.

[0019] Optionally, determining the test mode of the auxiliary aiming device according to the posture of the auxiliary aiming device, the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device and the model of the test equipment includes:

[0020] Freeze the posture of the auxiliary aiming device;

[0021] Collect the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device and the model of the test equipment;

[0022] Building a plurality of test combinations based on the online interaction of the posture of the auxiliary aiming device, the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device, and the model of the test equipment;

[0023] defining a plurality of test signatures based on identification of a plurality of test combinations;

[0024] associating multiple test features and aiming aids;

[0025] A test mode of the auxiliary aiming device is determined according to the plurality of test characteristics and the auxiliary aiming device.

[0026] Optionally, the online test of the auxiliary aiming device by the test device is triggered based on the test mode. At this time, the auxiliary aiming device has an LED built in, and the test device collects the moving position of the LED, including:

[0027] Acquiring the test pattern;

[0028] associating the test mode, the test equipment, and the auxiliary aiming device;

[0029] Triggering the test device to perform an online test on the auxiliary aiming device according to the test mode;

[0030] Defining a plurality of test nodes based on an online test of the auxiliary aiming device by the test equipment;

[0031] Constructing a test brightness distribution diagram according to the light-emitting positions corresponding to the multiple test nodes;

[0032] A difference area is defined based on the comparison between the test brightness distribution diagram and the preset brightness distribution diagram, and the autonomous test of the test equipment and the autonomous test of the auxiliary aiming device are triggered according to the difference area to ensure the working state of the test equipment and the working state of the auxiliary aiming device. At this time, the auxiliary aiming device has a built-in LED, and the test equipment collects the moving position of the LED.

[0033] Optionally, collecting a plurality of light-emitting point data according to an online test of the auxiliary aiming device, and determining a first deviation of the auxiliary aiming device during movement according to the plurality of light-emitting point data and a model of the auxiliary aiming device, comprises:

[0034] Real-time monitoring of online testing of auxiliary aiming devices;

[0035] Collecting data of multiple light-emitting points based on online testing of the auxiliary aiming device;

[0036] Constructing a corresponding test light point schematic diagram according to the matching of the plurality of light point data, and associating the test light point schematic diagram with the model of the auxiliary aiming device;

[0037] Matching the preset light-emitting point schematic diagram according to the model of the auxiliary aiming device, and triggering a comparison between the preset light-emitting point schematic diagram and the test light-emitting point schematic diagram;

[0038] A first deviation amount of the auxiliary aiming device during the movement is defined according to a comparison between the preset light-emitting point schematic diagram and the test light-emitting point schematic diagram.

[0039] Optionally, determining the environmental coefficient according to the light distribution in the relative space, the online movement coefficient of the auxiliary aiming device, and the vibration coefficient of the mobile platform, and determining the final deviation according to the environmental coefficient, the movement range of the auxiliary aiming device, and the first deviation, includes:

[0040] Freeze the relative space and conduct light tests on the relative space;

[0041] Determine the light distribution of the relative space according to the light test of the relative space, and collect the light distribution of the relative space;

[0042] Based on the interactive test of the auxiliary aiming device and the mobile platform, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform are determined.

[0043] Optionally, the determining of the environmental coefficient according to the light distribution in the relative space, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform, and the determining of the final deviation according to the environmental coefficient, the movement range of the auxiliary aiming device and the first deviation, further comprises:

[0044] Correlate the light distribution in relative space, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform;

[0045] Determine the environmental factor based on the light distribution in relative space, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform;

[0046] Collect environmental coefficients, the moving range of the auxiliary aiming device, and a first deviation, and perform online interaction on the environmental coefficients, the moving range of the auxiliary aiming device, and the first deviation; determine the first deviation based on the environmental coefficient and the moving range of the auxiliary aiming device, determine the second deviation based on the environmental coefficient and the first deviation, and determine the final deviation based on the first deviation and the second deviation.

[0047] Optionally, if the final deviation is greater than the light-emitting deviation threshold, a self-test of the auxiliary aiming device is triggered according to a relative amount between the final deviation and the light-emitting deviation threshold, and a light-emitting state of the LED is determined according to the self-test of the auxiliary aiming device, and autonomous optimization of the auxiliary aiming device in various dimensions is triggered according to the light-emitting state of the LED, the online movement coefficient of the auxiliary aiming device, and the vibration coefficient of the mobile platform, including:

[0048] Collect the final deviation and the luminous deviation threshold;

[0049] Compare the final deviation amount with the luminescence deviation amount threshold;

[0050] If the final deviation is greater than the luminescence deviation threshold, the relative amount between the final deviation and the luminescence deviation threshold is collected.

[0051] Optionally, if the final deviation is greater than the light-emitting deviation threshold, a self-test of the auxiliary aiming device is triggered according to a relative amount between the final deviation and the light-emitting deviation threshold, and a light-emitting state of the LED is determined according to the self-test of the auxiliary aiming device, and autonomous optimization of the auxiliary aiming device in various dimensions is triggered according to the light-emitting state of the LED, the online movement coefficient of the auxiliary aiming device, and the vibration coefficient of the mobile platform, and the method further includes:

[0052] triggering a self-test of the auxiliary aiming device according to the relative amount and the model of the auxiliary aiming device; determining a lighting state of the LED according to the self-test of the auxiliary aiming device;

[0053] Determine an optimization event according to the lighting state of the LED, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform and the relative amount;

[0054] The optimization event triggers autonomous optimization of the auxiliary aiming device in various dimensions.

[0055] In an embodiment of the present invention, through the method in the embodiment of the present invention, the posture of the auxiliary aiming device is determined based on the positioning test of the current position of the auxiliary aiming device; the test mode of the auxiliary aiming device is determined according to the posture of the auxiliary aiming device, the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device and the model of the test equipment; based on the test mode, the test equipment is triggered to perform an online test on the auxiliary aiming device, multiple light-emitting point data are collected according to the online test of the auxiliary aiming device, and the first deviation of the auxiliary aiming device during the movement is determined according to the multiple light-emitting point data and the model of the auxiliary aiming device, which is compatible with the multi-dimensional control of the multiple light-emitting point data and the model of the auxiliary aiming device, and the initial accuracy of the first deviation is guaranteed.

[0056] Furthermore, the environmental coefficient is determined according to the light distribution in the relative space, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform, and the final deviation is determined according to the environmental coefficient, the movement range of the auxiliary aiming device and the first deviation; if the final deviation is greater than the luminous deviation threshold, the self-test of the auxiliary aiming device is triggered according to the relative amount between the final deviation and the luminous deviation threshold, the environmental coefficient, the movement range of the auxiliary aiming device and the first deviation are introduced, and the final deviation is output, and the final deviation is further controlled, thereby realizing multiple controls of the luminous deviation, thereby defining the use state of the auxiliary aiming device based on the luminous deviation, and being compatible with the multiple controls of the luminous state of the LED, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform, thereby ensuring the autonomous optimization of the auxiliary aiming device in various dimensions, and realizing the test accuracy and autonomous optimization effect of the auxiliary aiming device in the online test. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0058] Figure 1 is a flow chart of an online testing method for an auxiliary aiming device in an embodiment of the present invention;

[0059] Figure 2 is a flow chart of S11 in the online testing method of the auxiliary aiming device in the embodiment of the present invention;

[0060] Figure 3 is a flow chart of S12 in the online testing method of the auxiliary aiming device in the embodiment of the present invention;

[0061] Figure 4 is a flow chart of S13 in the online testing method of the auxiliary aiming device in the embodiment of the present invention;

[0062] Figure 5 is a flow chart of S14 in the online testing method of the auxiliary aiming device in the embodiment of the present invention;

[0063] Figure 6 is a flow chart of S15 in the online testing method of the auxiliary aiming device in the embodiment of the present invention;

[0064] Figure 7 It is a flow chart of S16 in the online testing method of the auxiliary aiming device in the embodiment of the present invention. DETAILED DESCRIPTION

[0065] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0066] See also Figures 1 to 7 , an online testing method for an auxiliary aiming device, applied to an online testing scenario of the auxiliary aiming device; the online testing method for the auxiliary aiming device comprises:

[0067] Step S11: determining the posture of the auxiliary aiming device based on a positioning test of the current position of the auxiliary aiming device;

[0068] Step S12: determining a test mode of the auxiliary aiming device according to the posture of the auxiliary aiming device, the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device and the model of the test equipment;

[0069] Step S13: triggering the test device to conduct an online test on the auxiliary aiming device based on the test mode. At this time, the auxiliary aiming device has an LED built in, and the test device collects the moving position of the LED;

[0070] Step S14: collecting a plurality of light-emitting point data according to the online test of the auxiliary aiming device, and determining a first deviation amount of the auxiliary aiming device during the moving process according to the plurality of light-emitting point data and the model of the auxiliary aiming device;

[0071] Step S15: determining an environmental coefficient according to the light distribution in the relative space, the online movement coefficient of the auxiliary aiming device, and the vibration coefficient of the mobile platform, and determining a final deviation according to the environmental coefficient, the movement range of the auxiliary aiming device, and the first deviation;

[0072] Step S16: If the final deviation is greater than the luminous deviation threshold, the self-test of the auxiliary aiming device is triggered according to the relative amount between the final deviation and the luminous deviation threshold, and the luminous state of the LED is determined according to the self-test of the auxiliary aiming device, and the autonomous optimization of the auxiliary aiming device in various dimensions is triggered according to the luminous state of the LED, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform.

[0073] In an embodiment of the present invention, through the method in the embodiment of the present invention, the posture of the auxiliary aiming device is determined based on the positioning test of the current position of the auxiliary aiming device; the test mode of the auxiliary aiming device is determined according to the posture of the auxiliary aiming device, the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device and the model of the test equipment; based on the test mode, the test equipment is triggered to perform an online test on the auxiliary aiming device, multiple light-emitting point data are collected according to the online test of the auxiliary aiming device, and the first deviation of the auxiliary aiming device during the movement is determined according to the multiple light-emitting point data and the model of the auxiliary aiming device, which is compatible with the multi-dimensional control of the multiple light-emitting point data and the model of the auxiliary aiming device, and the initial accuracy of the first deviation is guaranteed.

[0074] Furthermore, the environmental coefficient is determined according to the light distribution in the relative space, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform, and the final deviation is determined according to the environmental coefficient, the movement range of the auxiliary aiming device and the first deviation; if the final deviation is greater than the luminous deviation threshold, the self-test of the auxiliary aiming device is triggered according to the relative amount between the final deviation and the luminous deviation threshold, the environmental coefficient, the movement range of the auxiliary aiming device and the first deviation are introduced, and the final deviation is output, and the final deviation is further controlled, thereby realizing multiple controls of the luminous deviation, thereby defining the use state of the auxiliary aiming device based on the luminous deviation, and being compatible with the multiple controls of the luminous state of the LED, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform, thereby ensuring the autonomous optimization of the auxiliary aiming device in various dimensions, and realizing the test accuracy and autonomous optimization effect of the auxiliary aiming device in the online test.

[0075] refer to Figure 2 , in step S11, determining the posture of the auxiliary aiming device based on a positioning test of the current position of the auxiliary aiming device;

[0076] In the specific implementation process of the present invention, the specific steps may be:

[0077] S111: When the auxiliary aiming device is mounted on the mobile platform, positioning the auxiliary aiming device;

[0078] S112: collecting the current position of the auxiliary aiming device;

[0079] S113: determining a test space based on a current position of the auxiliary aiming device and a moving range of the mobile platform;

[0080] S114: determining a test mode according to the test space, the model of the auxiliary aiming device, and the relative position between the auxiliary aiming device and the mobile platform;

[0081] S115: triggering a corresponding positioning test based on the test mode and the current position of the auxiliary aiming device, collecting a plurality of posture data of the auxiliary aiming device in different dimensions, and determining the posture of the auxiliary aiming device according to the plurality of posture data.

[0082] In an embodiment of the present application, for online testing of the auxiliary aiming device, the auxiliary aiming device is mounted on a mobile platform. At this time, when the auxiliary aiming device is mounted on the mobile platform, the auxiliary aiming device is positioned, and the auxiliary aiming device is managed and controlled to collect the current position of the auxiliary aiming device, and the current position of the auxiliary aiming device is further controlled, and then the test space is determined based on the current position of the auxiliary aiming device and the moving range of the mobile platform, thereby introducing the test space.

[0083] Furthermore, the test space is controlled and associated with the test space, the model of the auxiliary aiming device, and the relative position between the auxiliary aiming device and the mobile platform. The test space, the model of the auxiliary aiming device, and the relative position between the auxiliary aiming device and the mobile platform are controlled as a whole, so that the test method is determined according to the test space, the model of the auxiliary aiming device, and the relative position between the auxiliary aiming device and the mobile platform, thereby ensuring the accuracy of the test method.

[0084] Therefore, based on the test mode and the current position of the auxiliary aiming device, a corresponding positioning test is triggered, and the positioning test of the auxiliary aiming device is monitored in real time. At the same time, multiple posture data of the auxiliary aiming device in different dimensions are collected, and the posture of the auxiliary aiming device is determined according to the multiple posture data, so as to facilitate multi-dimensional control of the multiple posture data, ensure the overall control of the multiple posture data, improve the accuracy of the posture of the auxiliary aiming device, and thus ensure the online test effect of the auxiliary aiming device.

[0085] refer to Figure 3, in step S12, determining a test mode of the auxiliary aiming device according to the posture of the auxiliary aiming device, the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device, and the model of the test equipment;

[0086] In the specific implementation process of the present invention, the specific steps may be:

[0087] S121: Freeze the posture of the auxiliary aiming device;

[0088] S122: Collecting the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device, and the model of the test equipment;

[0089] S123: constructing a plurality of test combinations based on the online interaction of the posture of the auxiliary aiming device, the relative space between the auxiliary aiming device and the test device, the moving direction of the auxiliary aiming device, and the model of the test device;

[0090] S124: defining a plurality of test features according to the identification of the plurality of test combinations;

[0091] S125: Associating multiple test features and auxiliary aiming devices;

[0092] S126: Determine a test mode of the auxiliary aiming device according to the plurality of test features and the auxiliary aiming device.

[0093] In an embodiment of the present application, the posture of the auxiliary aiming device is frozen and the posture of the auxiliary aiming device is introduced. At this time, the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device and the model of the test equipment are collected, and the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device and the model of the test equipment are controlled as a whole.

[0094] Therefore, multiple test combinations are constructed based on the online interaction of the posture of the auxiliary aiming device, the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device, and the model of the test equipment, so that deep interaction of the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device, and the model of the test equipment is achieved, so as to facilitate the presentation of multiple test combinations.

[0095] Furthermore, multiple test combinations are identified synchronously, so that multiple test features are defined according to the identification of the multiple test combinations, and targeted identification is achieved through multiple test combinations and combined identification models, thereby ensuring the accuracy of multiple test features.

[0096] Therefore, multiple test features and auxiliary aiming devices are associated; the test mode of the auxiliary aiming device is determined according to the multiple test features and the auxiliary aiming device, which is compatible with the overall consideration of the multiple test features and the auxiliary aiming device, ensures the multi-dimensional control of the multiple test features and the auxiliary aiming device, and improves the accuracy of the test mode of the auxiliary aiming device.

[0097] refer to Figure 4 In step S13, in the floor cleaning space, the test device is triggered to perform an online test on the auxiliary aiming device based on the test mode. At this time, the auxiliary aiming device has an LED built in, and the test device collects the moving position of the LED;

[0098] In the specific implementation process of the present invention, the specific steps may be:

[0099] S131: collecting the test pattern;

[0100] S132: Associating the test mode, the test equipment, and the auxiliary aiming device;

[0101] S133: triggering the test device to perform an online test on the auxiliary aiming device according to the test mode;

[0102] S134: defining a plurality of test nodes based on an online test of the auxiliary aiming device by the test equipment;

[0103] S135: constructing a test brightness distribution diagram according to the light-emitting positions corresponding to the multiple test nodes;

[0104] S136: Define a difference area based on the comparison between the test brightness distribution map and the preset brightness distribution map, and trigger the autonomous test of the test equipment and the autonomous test of the auxiliary aiming device according to the difference area to ensure the working state of the test equipment and the working state of the auxiliary aiming device. At this time, the auxiliary aiming device has a built-in LED, and the test equipment collects the moving position of the LED.

[0105] In an embodiment of the present application, the test pattern is collected, and the test pattern, the test equipment and the auxiliary aiming device are introduced, thereby associating the test pattern, the test equipment and the auxiliary aiming device, and then triggering the test equipment to perform an online test on the auxiliary aiming device according to the test pattern, so as to facilitate the online test of the auxiliary aiming device, thereby realizing the performance test of the auxiliary aiming device.

[0106] Furthermore, multiple test nodes are defined based on the online test of the auxiliary aiming device by the test equipment, multiple test nodes are introduced, and the multiple test nodes are reasonably distributed to facilitate overall management and control of the multiple test nodes.

[0107] Therefore, a test brightness distribution diagram is constructed according to the light-emitting positions corresponding to multiple test nodes, which fully utilizes the light-emitting positions corresponding to multiple test nodes. A test brightness distribution diagram is constructed based on the overall control of multiple light-emitting positions. The brightness of the auxiliary aiming device at different positions is presented through the test brightness distribution diagram to trigger further online testing.

[0108] Furthermore, a difference area is defined based on the comparison between the test brightness distribution map and the preset brightness distribution map, and the autonomous test of the test equipment and the autonomous test of the auxiliary aiming device are triggered according to the difference area to ensure the working state of the test equipment and the working state of the auxiliary aiming device. At this time, the auxiliary aiming device has a built-in LED, and the test equipment collects the moving position of the LED.

[0109] refer to Figure 5 S14: collecting a plurality of light-emitting point data according to an online test of the auxiliary aiming device, and determining a first deviation amount of the auxiliary aiming device during the movement according to the plurality of light-emitting point data and a model of the auxiliary aiming device;

[0110] In the specific implementation process of the present invention, the specific steps may be:

[0111] S141: Real-time monitoring of online testing of auxiliary aiming devices;

[0112] S142: collecting data of a plurality of light-emitting points based on an online test of the auxiliary aiming device;

[0113] S143: constructing a corresponding test light-emitting point schematic diagram according to the matching of the plurality of light-emitting point data, and associating the test light-emitting point schematic diagram with the model of the auxiliary aiming device;

[0114] S144: matching a preset light-emitting point schematic diagram according to the model of the auxiliary aiming device, and triggering a comparison between the preset light-emitting point schematic diagram and the test light-emitting point schematic diagram; defining a first deviation amount of the auxiliary aiming device during movement according to the comparison between the preset light-emitting point schematic diagram and the test light-emitting point schematic diagram.

[0115] In an embodiment of the present application, a posture of the auxiliary aiming device is determined based on a positioning test of the current position of the auxiliary aiming device; a test mode of the auxiliary aiming device is determined according to the posture of the auxiliary aiming device, the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device and the model of the test equipment; an online test of the auxiliary aiming device by the test equipment is triggered based on the test mode, a plurality of light-emitting point data are collected according to the online test of the auxiliary aiming device, a first deviation amount of the auxiliary aiming device during the movement is determined according to the plurality of light-emitting point data and the model of the auxiliary aiming device, the multi-dimensional control of the plurality of light-emitting point data and the model of the auxiliary aiming device is compatible, and the initial accuracy of the first deviation amount is ensured.

[0116] At this time, the online test of the auxiliary aiming device is monitored in real time, and the online test of the auxiliary aiming device is introduced, so that multiple luminous point data are collected based on the online test of the auxiliary aiming device, and the multiple luminous point data are managed and controlled to facilitate matching of the multiple luminous point data, thereby matching the online positions of the corresponding luminous points.

[0117] Therefore, a corresponding test light-emitting point schematic diagram is constructed according to the matching of multiple light-emitting point data. The test light-emitting point schematic diagram is constructed by multiple in-line positions of the light-emitting points and presents the change of the light-emitting position of the auxiliary aiming device.

[0118] Furthermore, a test light-emitting point schematic diagram and a model of an auxiliary aiming device are introduced, and overall control is performed on the test light-emitting point schematic diagram and the model of the auxiliary aiming device. At the same time, the test light-emitting point schematic diagram and the model of the auxiliary aiming device are associated; the preset light-emitting point schematic diagram is matched according to the model of the auxiliary aiming device, and a comparison between the preset light-emitting point schematic diagram and the test light-emitting point schematic diagram is triggered; a first deviation of the auxiliary aiming device during movement is defined based on the comparison between the preset light-emitting point schematic diagram and the test light-emitting point schematic diagram, and the first deviation is introduced, which is compatible with the comparison between the preset light-emitting point schematic diagram and the test light-emitting point schematic diagram, thereby ensuring the accuracy of the first deviation.

[0119] Therefore, multiple light-emitting point data are collected according to the online test of the auxiliary aiming device, and the first deviation of the auxiliary aiming device during the movement is determined according to the multiple light-emitting point data and the model of the auxiliary aiming device. This is compatible with multi-dimensional control of the multiple light-emitting point data and the model of the auxiliary aiming device, thereby ensuring the initial accuracy of the first deviation.

[0120] refer to Figure 6 , S15: determining an environmental coefficient according to the light distribution in the relative space, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform, and determining a final deviation according to the environmental coefficient, the movement range of the auxiliary aiming device and the first deviation;

[0121] In the specific implementation process of the present invention, the specific steps may be:

[0122] S151: Freeze the relative space and perform light testing on the relative space;

[0123] S152: determining the light distribution of the relative space according to the light test of the relative space, and collecting the light distribution of the relative space;

[0124] S153: determining an online movement coefficient of the auxiliary aiming device and a vibration coefficient of the mobile platform based on an interactive test of the auxiliary aiming device and the mobile platform;

[0125] S154: Correlate the light distribution in relative space, the online movement coefficient of the auxiliary aiming device, and the vibration coefficient of the mobile platform;

[0126] S155: determining an environmental coefficient based on the light distribution in the relative space, the online movement coefficient of the auxiliary aiming device, and the vibration coefficient of the mobile platform;

[0127] S156: Collecting environmental coefficients, the moving range of the auxiliary aiming device, and the first deviation, and performing online interaction on the environmental coefficients, the moving range of the auxiliary aiming device, and the first deviation; determining the first deviation based on the environmental coefficient and the moving range of the auxiliary aiming device, determining the second deviation based on the environmental coefficient and the first deviation, and determining the final deviation based on the first deviation and the second deviation.

[0128] In an embodiment of the present application, the relative space is frozen, and a light test is performed on the relative space. A light test of the relative space is introduced, so that the light distribution of the relative space is determined based on the light test of the relative space, and the light distribution of the relative space is collected, and a light test is performed on the relative space.

[0129] Furthermore, based on the interactive test of the auxiliary aiming device and the mobile platform, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform are determined, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform are introduced, and the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform are managed and controlled, so as to facilitate multi-dimensional control of the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform.

[0130] Therefore, the light distribution in relative space, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform are correlated, and overall control is performed based on the light distribution in relative space, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform.

[0131] Furthermore, the environmental coefficient is determined based on the light distribution in relative space, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform. The environmental coefficient is introduced, which is compatible with the overall consideration of the light distribution in relative space, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform, and realizes multi-dimensional control of the light distribution in relative space, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform, ensures the accuracy of the environmental coefficient, and fully considers the influence of the environmental coefficient.

[0132] Therefore, the environmental coefficient, the moving range of the auxiliary aiming device and the first deviation are collected, and the environmental coefficient, the moving range of the auxiliary aiming device and the first deviation are interacted online; the first deviation is determined based on the environmental coefficient and the moving range of the auxiliary aiming device, the second deviation is determined based on the environmental coefficient and the first deviation, and the final deviation is determined according to the first deviation and the second deviation, which is compatible with the overall consideration of the environmental coefficient, the moving range of the auxiliary aiming device and the first deviation, realizes the deep interaction of the environmental coefficient, the moving range of the auxiliary aiming device and the first deviation, ensures the accuracy of the final deviation, and realizes the multi-level control of the luminous deviation.

[0133] refer to Figure 7 , S16: if the final deviation is greater than the light-emitting deviation threshold, triggering a self-test of the auxiliary aiming device according to the relative amount between the final deviation and the light-emitting deviation threshold, and determining the light-emitting state of the LED according to the self-test of the auxiliary aiming device, triggering autonomous optimization of the auxiliary aiming device in various dimensions according to the light-emitting state of the LED, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform;

[0134] In the specific implementation process of the present invention, the specific steps may be:

[0135] S161: Collect the final deviation and the luminous deviation threshold;

[0136] S162: Compare the final deviation with the luminous deviation threshold;

[0137] S163: if the final deviation is greater than the luminous deviation threshold, then collecting the relative amount between the final deviation and the luminous deviation threshold;

[0138] S164: triggering a self-test of the auxiliary aiming device according to the relative amount and the model of the auxiliary aiming device; determining a lighting state of the LED according to the self-test of the auxiliary aiming device;

[0139] S165: determining an optimization event according to the lighting state of the LED, the online movement coefficient of the auxiliary aiming device, the vibration coefficient of the mobile platform, and the relative amount;

[0140] S166: Triggering autonomous optimization of the auxiliary aiming device in various dimensions according to the optimization event.

[0141] In the specific implementation process of the present invention, the environmental coefficient is determined according to the light distribution in the relative space, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform, and the final deviation is determined according to the environmental coefficient, the movement range of the auxiliary aiming device and the first deviation; if the final deviation is greater than the luminous deviation threshold, the self-test of the auxiliary aiming device is triggered according to the relative amount between the final deviation and the luminous deviation threshold, the environmental coefficient, the movement range of the auxiliary aiming device and the first deviation are introduced, and the final deviation is output, and the final deviation is further controlled, thereby realizing multiple controls of the luminous deviation, thereby defining the use state of the auxiliary aiming device based on the luminous deviation, being compatible with the luminous state of the LED, the online movement coefficient of the auxiliary aiming device and the multiple controls of the vibration coefficient of the mobile platform, ensuring the autonomous optimization of the auxiliary aiming device in various dimensions, and realizing the test accuracy and autonomous optimization effect of the auxiliary aiming device in the online test.

[0142] At this time, the final deviation amount and the luminescence deviation amount threshold are collected, and the final deviation amount is compared with the luminescence deviation amount threshold, thereby realizing the comparison between the final deviation amount and the luminescence deviation amount threshold.

[0143] Furthermore, if the final deviation is greater than the luminous deviation threshold, the relative amount between the final deviation and the luminous deviation threshold is collected; the self-test of the auxiliary aiming device is triggered according to the relative amount and the model of the auxiliary aiming device; the luminous state of the LED is determined according to the self-test of the auxiliary aiming device, thereby realizing the control of the LED and ensuring the accuracy of the luminous state of the LED.

[0144] Therefore, the optimization event is determined according to the light-emitting state of the LED, the online movement coefficient of the auxiliary aiming device, the vibration coefficient of the mobile platform, and the relative amount; the autonomous optimization of the auxiliary aiming device in various dimensions is triggered according to the optimization event. At this time, the environmental coefficient, the moving range of the auxiliary aiming device, and the first deviation are introduced, and the final deviation is output, and the final deviation is further controlled, so that multiple controls of the light-emitting deviation are realized, thereby defining the use state of the auxiliary aiming device based on the light-emitting deviation, and being compatible with the multiple controls of the light-emitting state of the LED, the online movement coefficient of the auxiliary aiming device, and the vibration coefficient of the mobile platform, ensuring the autonomous optimization of the auxiliary aiming device in various dimensions, and realizing the test accuracy and autonomous optimization effect of the auxiliary aiming device in the online test.

[0145] In an embodiment of the present invention, through the method in the embodiment of the present invention, the posture of the auxiliary aiming device is determined based on the positioning test of the current position of the auxiliary aiming device; the test mode of the auxiliary aiming device is determined according to the posture of the auxiliary aiming device, the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device and the model of the test equipment; based on the test mode, the test equipment is triggered to perform an online test on the auxiliary aiming device, multiple light-emitting point data are collected according to the online test of the auxiliary aiming device, and the first deviation of the auxiliary aiming device during the movement is determined according to the multiple light-emitting point data and the model of the auxiliary aiming device, which is compatible with the multi-dimensional control of the multiple light-emitting point data and the model of the auxiliary aiming device, and the initial accuracy of the first deviation is guaranteed.

[0146] Furthermore, the environmental coefficient is determined according to the light distribution in the relative space, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform, and the final deviation is determined according to the environmental coefficient, the movement range of the auxiliary aiming device and the first deviation; if the final deviation is greater than the luminous deviation threshold, the self-test of the auxiliary aiming device is triggered according to the relative amount between the final deviation and the luminous deviation threshold, the environmental coefficient, the movement range of the auxiliary aiming device and the first deviation are introduced, and the final deviation is output, and the final deviation is further controlled, thereby realizing multiple controls of the luminous deviation, thereby defining the use state of the auxiliary aiming device based on the luminous deviation, and being compatible with the multiple controls of the luminous state of the LED, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform, thereby ensuring the autonomous optimization of the auxiliary aiming device in various dimensions, and realizing the test accuracy and autonomous optimization effect of the auxiliary aiming device in the online test.

[0147] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a multi-parameter sensor device, or a network device, etc.) to execute the method according to the implementation of the present disclosure.

[0148] Those skilled in the art can understand that all or some of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium, and the storage medium can include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc. In addition, it stores computer program instructions, and when the computer program instructions are executed by a computer, the computer executes the above method.

[0149] In addition, the online testing method for the auxiliary aiming device provided by the embodiment of the present invention is introduced in detail above. Specific examples are used herein to illustrate the principle and implementation mode of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. For those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation mode and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. An online testing method for an auxiliary aiming device, characterized in that: Applicable to online test scenarios of auxiliary aiming devices; The online testing method of the auxiliary aiming device comprises: determining a posture of the auxiliary aiming device based on a positioning test of the current position of the auxiliary aiming device; Determine the test mode of the auxiliary aiming device according to the posture of the auxiliary aiming device, the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device and the model of the test equipment; Based on the test mode, the test equipment is triggered to conduct an online test on the auxiliary aiming device. At this time, the auxiliary aiming device has an LED built in, and the test equipment collects the moving position of the LED; Collecting a plurality of light-emitting point data according to an online test of the auxiliary aiming device, and determining a first deviation amount of the auxiliary aiming device during movement according to the plurality of light-emitting point data and a model of the auxiliary aiming device; Determine an environmental coefficient according to the light distribution in the relative space, the online movement coefficient of the auxiliary aiming device, and the vibration coefficient of the mobile platform, and determine a final deviation according to the environmental coefficient, the movement range of the auxiliary aiming device, and the first deviation; If the final deviation is greater than the luminous deviation threshold, the self-test of the auxiliary aiming device is triggered according to the relative amount between the final deviation and the luminous deviation threshold, and the luminous state of the LED is determined according to the self-test of the auxiliary aiming device. According to the luminous state of the LED, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform, the autonomous optimization of the auxiliary aiming device in various dimensions is triggered.

2. The online testing method of the auxiliary aiming device according to claim 1, characterized in that: The determining the posture of the auxiliary aiming device based on the positioning test of the current position of the auxiliary aiming device comprises: When the auxiliary aiming device is mounted on the mobile platform, positioning the auxiliary aiming device; Collect the current position of the auxiliary aiming device; determining a test space based on a current position of the auxiliary aiming device and a moving range of the mobile platform; Determine the test method according to the test space, the model of the auxiliary aiming device, and the relative position between the auxiliary aiming device and the mobile platform; Based on the test mode and the current position of the auxiliary aiming device, a corresponding positioning test is triggered, and a plurality of posture data of the auxiliary aiming device in different dimensions are collected, and the posture of the auxiliary aiming device is determined according to the plurality of posture data.

3. The online testing method of the auxiliary aiming device according to claim 2, characterized in that: The method of determining the test mode of the auxiliary aiming device according to the posture of the auxiliary aiming device, the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device and the model of the test equipment comprises: Freeze the posture of the auxiliary aiming device; Collect the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device and the model of the test equipment; Building a plurality of test combinations based on the online interaction of the posture of the auxiliary aiming device, the relative space between the auxiliary aiming device and the test equipment, the moving direction of the auxiliary aiming device, and the model of the test equipment; defining a plurality of test signatures based on identification of a plurality of test combinations; associating multiple test features and aiming aids; A test mode of the auxiliary aiming device is determined according to the plurality of test characteristics and the auxiliary aiming device.

4. The online testing method of the auxiliary aiming device according to claim 3, characterized in that: The online test of the auxiliary aiming device by the test device is triggered based on the test mode. At this time, the auxiliary aiming device has an LED built in, and the test device collects the moving position of the LED, including: Acquiring the test pattern; associating the test mode, the test equipment, and the auxiliary aiming device; Triggering the test device to perform an online test on the auxiliary aiming device according to the test mode; Defining a plurality of test nodes based on an online test of the auxiliary aiming device by the test equipment; Constructing a test brightness distribution diagram according to the light-emitting positions corresponding to the multiple test nodes; A difference area is defined based on the comparison between the test brightness distribution diagram and the preset brightness distribution diagram, and the autonomous test of the test equipment and the autonomous test of the auxiliary aiming device are triggered according to the difference area to ensure the working state of the test equipment and the working state of the auxiliary aiming device. At this time, the auxiliary aiming device has a built-in LED, and the test equipment collects the moving position of the LED.

5. The online testing method of the auxiliary aiming device according to claim 4, characterized in that: The method of collecting a plurality of light-emitting point data according to an online test of the auxiliary aiming device and determining a first deviation of the auxiliary aiming device during movement according to the plurality of light-emitting point data and a model of the auxiliary aiming device comprises: Real-time monitoring of online testing of auxiliary aiming devices; Collecting data of multiple light-emitting points based on online testing of the auxiliary aiming device; Constructing a corresponding test light point schematic diagram according to the matching of the plurality of light point data, and associating the test light point schematic diagram with the model of the auxiliary aiming device; A preset light-emitting point schematic diagram is matched according to the model of the auxiliary aiming device, and a comparison between the preset light-emitting point schematic diagram and the test light-emitting point schematic diagram is triggered; a first deviation amount of the auxiliary aiming device during movement is defined according to the comparison between the preset light-emitting point schematic diagram and the test light-emitting point schematic diagram.

6. The online testing method of the auxiliary aiming device according to claim 5, characterized in that: The step of determining the environmental coefficient according to the light distribution in the relative space, the online movement coefficient of the auxiliary aiming device, and the vibration coefficient of the mobile platform, and determining the final deviation according to the environmental coefficient, the movement range of the auxiliary aiming device, and the first deviation, includes: Freeze the relative space and conduct light tests on the relative space; Determine the light distribution of the relative space according to the light test of the relative space, and collect the light distribution of the relative space; Based on the interactive test of the auxiliary aiming device and the mobile platform, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform are determined.

7. The online testing method of the auxiliary aiming device according to claim 6, characterized in that: The step of determining the environmental coefficient according to the light distribution in the relative space, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform, and determining the final deviation according to the environmental coefficient, the movement range of the auxiliary aiming device and the first deviation, further comprises: Correlate the light distribution in relative space, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform; Determine the environmental factor based on the light distribution in relative space, the online movement factor of the auxiliary aiming device and the vibration factor of the mobile platform; Collect environmental coefficients, the moving range of the auxiliary aiming device, and a first deviation, and perform online interaction on the environmental coefficients, the moving range of the auxiliary aiming device, and the first deviation; determine the first deviation based on the environmental coefficient and the moving range of the auxiliary aiming device, determine the second deviation based on the environmental coefficient and the first deviation, and determine the final deviation based on the first deviation and the second deviation.

8. The online testing method of the auxiliary aiming device according to claim 7, characterized in that: If the final deviation is greater than the light-emitting deviation threshold, a self-test of the auxiliary aiming device is triggered according to the relative amount between the final deviation and the light-emitting deviation threshold, and the light-emitting state of the LED is determined according to the self-test of the auxiliary aiming device, and the autonomous optimization of the auxiliary aiming device in various dimensions is triggered according to the light-emitting state of the LED, the online movement coefficient of the auxiliary aiming device, and the vibration coefficient of the mobile platform, including: Collect the final deviation and the luminous deviation threshold; Compare the final deviation amount with the luminescence deviation amount threshold; If the final deviation is greater than the luminescence deviation threshold, the relative amount between the final deviation and the luminescence deviation threshold is collected.

9. The online testing method of the auxiliary aiming device according to claim 8, characterized in that: If the final deviation is greater than the light-emitting deviation threshold, a self-test of the auxiliary aiming device is triggered according to the relative amount between the final deviation and the light-emitting deviation threshold, and a light-emitting state of the LED is determined according to the self-test of the auxiliary aiming device, and autonomous optimization of the auxiliary aiming device in various dimensions is triggered according to the light-emitting state of the LED, the online movement coefficient of the auxiliary aiming device, and the vibration coefficient of the mobile platform, and further includes: The self-test of the auxiliary aiming device is triggered according to the relative amount and the model of the auxiliary aiming device; and the lighting state of the LED is determined according to the self-test of the auxiliary aiming device.

10. The online testing method of the auxiliary aiming device according to claim 9, characterized in that: If the final deviation is greater than the light-emitting deviation threshold, a self-test of the auxiliary aiming device is triggered according to the relative amount between the final deviation and the light-emitting deviation threshold, and a light-emitting state of the LED is determined according to the self-test of the auxiliary aiming device, and autonomous optimization of the auxiliary aiming device in various dimensions is triggered according to the light-emitting state of the LED, the online movement coefficient of the auxiliary aiming device, and the vibration coefficient of the mobile platform, and further includes: Determine an optimization event according to the lighting state of the LED, the online movement coefficient of the auxiliary aiming device and the vibration coefficient of the mobile platform and the relative amount; The optimization event triggers autonomous optimization of the auxiliary aiming device in various dimensions.

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