A work object learning and activity visual environment dynamic monitoring feedback system

Abstract

The application discloses a kind of job object learning and activity visual environment dynamic monitoring feedback system.System includes static monitoring unit, dynamic monitoring unit, data analysis processing unit and feedback unit, static monitoring unit includes object detection module, environment detection module and static monitoring recording module, dynamic monitoring unit includes activity detection recording module, environment change detection module and change monitoring recording module, data analysis processing unit includes learning visual environment monitoring analysis module, dynamic visual environment monitoring analysis module, storage module, processing feedback module and multi-end connection module, feedback unit includes receiving processing module, feedback display module and analysis early warning module.The advantages of the present application are: the present application can let parents more clearly and directly understand the visual environment of the learning activity environment of children, and the feedback display module and the analysis early warning module are combined to comprehensively and more effectively protect the vision of children.

Description

Technical Field

[0001] This invention relates to the field of work object learning and activity environment monitoring technology, and more specifically, to a work object learning and activity visual environment dynamic monitoring and feedback system. Background Technology

[0002] With the development of science and technology and the continuous improvement of people's living standards, the amount of knowledge people can acquire is also increasing. However, along with this acquisition of knowledge, more and more problems are emerging, the most prominent of which is myopia. The problems include not only an increasingly high rate of myopia, but more importantly, the trend of myopia occurring at increasingly younger ages. More and more young children are already needing to wear glasses, and the onset of myopia is irreversible.

[0003] Prolonged periods of studying and reading, coupled with unreasonable and fluctuating ambient lighting, lead to excessive eye strain and frequent changes in visual environment parameters, all of which are major causes of childhood myopia. my country is increasingly concerned about the unhealthy development of childhood myopia; however, many parents, due to work and life commitments, are unable to accompany their children during study activities at all times, cannot accurately control their children's study time, and lack understanding of proper methods for regulating the visual environment during children's study activities. This leaves many children facing the challenge of developing or worsening myopia.

[0004] Therefore, there is an urgent need for a system that can accurately track children's learning activity time, provide feedback on visual environment parameters of children's learning activities, and offer reasonable visual environment control solutions to meet parents' needs for reasonably arranging children's learning activity time and protecting children's eyesight. Summary of the Invention

[0005] The purpose of this invention is to address the shortcomings of existing systems for monitoring and feedback on dynamic changes in the environment faced by children during learning activities, and to provide a dynamic monitoring and feedback system for the visual environment of children's learning activities that accurately records the time of children's learning activities and provides timely and accurate feedback on the dynamic changes in the visual environment parameters of children's learning activities.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0007] A dynamic monitoring and feedback system for the visual environment of a work object's learning and activity includes a static monitoring unit, a dynamic monitoring unit, a data analysis and processing unit, and a feedback unit. The static monitoring unit is communicatively connected to the dynamic monitoring unit. The static monitoring unit includes an object detection module for detecting and determining whether the work object is in a work state, an environment detection module for detecting and acquiring visual environment parameters, and a static monitoring recording module for recording the work time of the work object. The object detection module controls the start and stop of the environment detection module, the static monitoring recording module, and the dynamic monitoring unit based on the detection and determination results. The dynamic monitoring unit includes an activity detection recording module for monitoring the activity fluctuation parameters of the work object, an environment change detection module for detecting visual environment fluctuation parameters, and a monitoring and recording module for recording the changes in the activity fluctuation parameters and the visual environment fluctuation parameters. The data analysis and processing unit receives and processes the data transmitted by the static monitoring unit and the dynamic monitoring unit, generates feedback information, and transmits it to the feedback unit. The feedback unit receives the feedback information transmitted by the data analysis and processing unit and generates feedback image information.

[0008] Furthermore, in this invention, the static monitoring unit is selected to use a monitoring instrument host, the dynamic monitoring unit is selected to use a badge illuminance meter, the data analysis and processing unit is selected to use a processing cloud, and the feedback unit is selected to be a WeChat mini program or a mobile APP.

[0009] Furthermore, the main unit of the monitoring instrument is equipped with a main unit radar module, a main unit visual brightness detection module, and a static monitoring recording module.

[0010] Furthermore, the badge illuminance meter is equipped with an activity detection recording module, a badge illuminance detection module, and a change monitoring recording module.

[0011] Furthermore, the data analysis and processing unit utilizes cloud-based processing, while the feedback unit employs a WeChat mini-program or mobile app.

[0012] Preferably, the dynamic monitoring unit is carried on the work object. When the activity detection and recording module detects that the change in the activity fluctuation parameter exceeds the preset object activity amplitude threshold, and the environmental change detection module detects that the visual environment fluctuation parameter reaches or exceeds the preset light source change threshold, the change monitoring and recording module is activated.

[0013] Preferably, the data analysis and processing unit includes a learning task visual environment monitoring and analysis module, a dynamic visual environment monitoring and analysis module, a processing feedback module, and a multi-terminal connection module, wherein the multi-terminal connection module communicates with the static monitoring unit and the dynamic monitoring unit and acquires the data transmitted by the static monitoring unit and the dynamic monitoring unit;

[0014] The learning assignment visual environment monitoring and analysis module obtains the monitoring parameters of the environment detection module, static monitoring record module and environment change detection module through the multi-terminal connection module, generates learning assignment visual environment monitoring data, and compares and analyzes it through the processing and feedback module, and outputs learning assignment feedback information.

[0015] The dynamic visual environment monitoring and analysis module obtains the monitoring parameters of the environmental change detection module and the change monitoring and recording module through the multi-terminal connection module, generates dynamic visual environment monitoring data, and performs comparative analysis by the processing and feedback module to output dynamic feedback information.

[0016] Preferably, the multi-terminal connection module transmits learning assignment feedback information and dynamic feedback information to the feedback unit.

[0017] Preferably, the feedback unit includes a receiving and processing module, a feedback display module, and an analysis and early warning module. The receiving and processing module receives and processes learning task feedback information and dynamic feedback information into feedback image information. The feedback display module displays the feedback image information. The analysis and early warning module converts feedback information that exceeds or falls below the visual environment threshold for learning activities into early warning information. The early warning information is displayed synchronously on the feedback display module. The analysis and early warning module also provides adjustment reference information based on the feedback image information, and the adjustment reference information is displayed on the feedback display module.

[0018] Preferably, a method for dynamic monitoring and feedback of the visual environment of a task object's learning and activities includes the following steps:

[0019] A static monitoring unit is set up near the work object, and a dynamic monitoring unit is carried on the work object;

[0020] The static monitoring unit is communicatively connected to the dynamic monitoring unit, and the data analysis and processing unit is communicatively connected to both the static monitoring unit and the dynamic monitoring unit.

[0021] The object detection module of the static monitoring unit detects and determines whether the work object is in a working state. Based on the detection and determination results, it controls the start and stop of the environment detection module, the static monitoring recording module and the dynamic monitoring unit. When the environment detection module is started, it detects and acquires the visual environment parameters of the work. When the static monitoring recording module is started, it records the working time of the work object.

[0022] When the dynamic monitoring unit is activated, the activity detection and recording module of the dynamic monitoring unit monitors the activity fluctuation parameters of the work object, the environmental change detection module detects the visual environment fluctuation parameters, and the change monitoring and recording module records the activity fluctuation parameters and the visual environment fluctuation parameters.

[0023] The data analysis and processing unit receives and processes the data transmitted by the static monitoring unit and the dynamic monitoring unit, and generates feedback information which is then transmitted to the feedback unit.

[0024] The feedback unit receives the feedback information transmitted by the data analysis and processing unit and generates feedback image information.

[0025] Compared with the prior art, the gain effect of the present invention is:

[0026] This invention can accurately determine a child's learning activity status, accurately record the time spent on learning activities, and accurately monitor the corresponding visual environment changes during learning activities. Feedback is promptly provided to parents through a feedback unit, allowing them to accurately monitor their child's learning activity time, prevent excessive eye strain, and help children develop healthy eye habits. Furthermore, the dynamic visual environment monitoring system, formed by the combination of static and dynamic monitoring units, allows parents to clearly and directly understand whether the visual environment of their child's learning activities meets scientific requirements. Combined with feedback display and analysis / early warning modules, the system provides comprehensive analysis and adjustment suggestions, enabling timely adjustments to the child's learning environment to provide a comfortable visual environment and more comprehensively and effectively protect children's eyesight. Attached Figure Description

[0027] Figure 1 This is a system framework diagram of the present invention. Implementation

[0028] The present invention will be further described below with reference to specific embodiments. The accompanying drawings are for illustrative purposes only, representing schematic diagrams rather than actual physical objects, and should not be construed as limiting the scope of this patent. To better illustrate the embodiments of the present invention, some components in the drawings may be omitted, enlarged, or reduced, and do not represent the actual dimensions of the product. It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings.

[0029] In the accompanying drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components. In the description of the present invention, it should be understood that if terms such as "upper," "lower," "left," "right," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the drawings are only for illustrative purposes and should not be construed as limiting the present patent. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances.

[0030] To enable examiners to gain a better understanding of the purpose, features, and functions of this invention, the invention is further described below in conjunction with specific embodiments and accompanying drawings:

[0031] Figure 1 This is a schematic diagram of the present invention. The present invention is a dynamic monitoring and feedback system for learning and activity visual environment of a task object, including a static monitoring unit 1, a dynamic monitoring unit 2, a data analysis and processing unit 3, and a feedback unit 4. The static monitoring unit 1 and the dynamic monitoring unit 2 are communicatively connected.

[0032] The static monitoring unit 1 includes an object detection module 11 for detecting and determining whether a work object is in a working state, an environment detection module 12 for detecting and acquiring visual environment parameters of the work, and a static monitoring recording module 13 for recording the working time of the work object. The object detection module 11 controls the start and stop of the environment detection module 12, the static monitoring recording module 13, and the dynamic monitoring unit 2 according to the detection and judgment results. The dynamic monitoring unit 2 includes an activity detection recording module 21 for monitoring the activity fluctuation parameters of the work object, an environment change detection module 22 for detecting the visual environment fluctuation parameters, and a monitoring recording module 23 for recording the changes in the activity fluctuation parameters and the visual environment fluctuation parameters. The data analysis and processing unit 3 receives and processes the data transmitted by the static monitoring unit 1 and the dynamic monitoring unit 2, generates feedback information, and transmits it to the feedback unit 4. The feedback unit 4 receives the feedback information transmitted by the data analysis and processing unit 3 and generates feedback image information.

[0033] Furthermore, in this invention, the static monitoring unit 1 is selected to use a monitoring instrument host, the dynamic monitoring unit 2 is selected to use a badge illuminance meter, the data analysis and processing unit 3 is selected to use a processing cloud, and the feedback unit 4 is selected to be a WeChat mini program or a mobile APP.

[0034] Furthermore, the main unit of the monitoring instrument is equipped with a main unit radar module, a main unit visual brightness detection module, and a static monitoring recording module 13.

[0035] Furthermore, the badge illuminance meter is equipped with an activity detection and recording module 21, a badge illuminance detection module, and a change monitoring and recording module 23.

[0036] Furthermore, the data analysis and processing unit 3 uses cloud processing, and the feedback unit 4 uses a WeChat mini program or mobile APP.

[0037] Preferably, the dynamic monitoring unit 2 is carried on the work object. When the activity detection and recording module 21 detects that the change in the activity fluctuation parameter exceeds a preset object activity amplitude threshold, and the environmental change detection module 22 detects that the visual environment fluctuation parameter reaches or exceeds a preset light source change threshold, then the change monitoring and recording module 23 is activated. The activity detection and recording module 21 is used to detect the magnitude of the change in the wearer's movement amplitude and determine whether the wearer is stationary or in motion.

[0038] Preferably, the data analysis and processing unit 3 includes a learning task visual environment monitoring and analysis module 31, a dynamic visual environment monitoring and analysis module 32, a processing feedback module 34, and a multi-terminal connection module 35, wherein...

[0039] The multi-terminal connection module 35 communicates with the static monitoring unit 1 and the dynamic monitoring unit 2 and acquires the data transmitted by the static monitoring unit 1 and the dynamic monitoring unit 2;

[0040] The learning assignment visual environment monitoring and analysis module 31 obtains the monitoring parameters of the environment detection module 12, the static monitoring and recording module 13 and the environment change detection module 22 through the multi-terminal connection module 35, generates learning assignment visual environment monitoring data, and performs comparative analysis by the processing and feedback module 34 to output learning assignment feedback information.

[0041] The dynamic visual environment monitoring and analysis module 32 obtains the monitoring parameters of the environmental change detection module 22 and the change monitoring and recording module 23 through the multi-terminal connection module 35, generates dynamic visual environment monitoring data, and performs comparative analysis by the processing and feedback module 34 to output dynamic feedback information.

[0042] Preferably, the multi-terminal connection module 35 transmits learning assignment feedback information and dynamic feedback information to the feedback unit 4.

[0043] Preferably, the feedback unit 4 includes a receiving and processing module 41, a feedback display module 42, and an analysis and early warning module 43. The receiving and processing module 41 receives and processes learning task feedback information and dynamic feedback information into feedback image information. The feedback display module 42 displays the feedback image information. The analysis and early warning module 43 converts feedback information that exceeds or falls below the visual environment threshold of the learning activity into early warning information. The early warning information is displayed synchronously on the feedback display module 42. The analysis and early warning module 43 also provides adjustment reference information based on the feedback image information, and the adjustment reference information is displayed on the feedback display module 42.

[0044] A method for learning and dynamically monitoring and providing feedback on the visual environment of a task object includes the following steps:

[0045] A static monitoring unit 1 is set up near the work object, and a dynamic monitoring unit 2 is carried on the work object;

[0046] The static monitoring unit 1 is communicatively connected to the dynamic monitoring unit 2, and the data analysis and processing unit (3) is communicatively connected to the static monitoring unit 1 and the dynamic monitoring unit 2.

[0047] The object detection module 11 of the static monitoring unit 1 detects and determines whether the work object is in a working state. Based on the detection and determination results, it controls the start and stop of the environment detection module 12, the static monitoring recording module 13 and the dynamic monitoring unit 2. When the environment detection module 12 is started, it detects and acquires the visual environment parameters of the work. When the static monitoring recording module 13 is started, it records the working time of the work object.

[0048] When the dynamic monitoring unit 2 is activated, the activity detection and recording module 21 of the dynamic monitoring unit 2 monitors the activity fluctuation parameters of the work object, the environmental change detection module 22 detects the visual environment fluctuation parameters, and the change monitoring and recording module 23 records the activity fluctuation parameters and the visual environment fluctuation parameters.

[0049] The data analysis and processing unit 3 receives and processes the data transmitted by the static monitoring unit 1 and the dynamic monitoring unit 2, and generates feedback information which is then transmitted to the feedback unit 4.

[0050] The feedback unit 4 receives the feedback information transmitted by the data analysis and processing unit 3 and generates feedback image information.

[0051] First embodiment:

[0052] When learning to use the detection system, the static monitoring unit 1 is set at the work monitoring point, and the dynamic monitoring unit 2 is worn by the user. The object detection module 11 detects the work status of the work object. When the object detection module 11 determines that the work object is in a working state, it triggers the activation of the linkage control environment detection module 12, the static monitoring recording module 13, and the dynamic monitoring unit 2 for detection. The environment detection module 12 detects and acquires the visual environment parameters of the work, the static monitoring recording module 13 records the work time of the work object, and the environmental change detection module 22 detects the work environment. When the activity fluctuation parameter change detected by the activity detection recording module 21 is lower than the preset object activity amplitude threshold, and the visual environment parameter change detected by the environmental change detection module 22 is less than the preset light source change threshold, the change monitoring recording module 23 stops recording.

[0053] The visual environment monitoring and analysis module 31 for learning assignments acquires monitoring parameters from the environment detection module 12 and the static monitoring and recording module 13 to generate visual environment monitoring data for learning assignments, including learning assignment time parameters and visual environment parameters. This data is then compared and analyzed by the processing and feedback module 34, which outputs learning assignment feedback information. The multi-terminal connection module 35 transmits this feedback information to the feedback unit 4. The receiving and processing module 41 receives and processes the learning assignment feedback information into feedback image information, which is then displayed by the feedback display module 42. Simultaneously, the analysis and early warning module 43 converts feedback information exceeding or falling below the visual environment threshold for learning activities into early warning information, which is then simultaneously displayed on the feedback display module 42.

[0054] Second embodiment:

[0055] When the activity detection is used, the static monitoring unit 1 is set at the work monitoring point, and the object detection module 11 detects the work status of the work object. When the object detection module 11 determines that the work object is in the departed state, the linkage control environment detection module 12 and static monitoring record module 13 are suspended to stop the work detection.

[0056] The dynamic monitoring unit 2 is worn by the user. The environmental change detection module 22 detects the working environment. When the activity detection and recording module 21 detects that the change in the activity fluctuation parameter exceeds the preset object activity amplitude threshold and the environmental change detection module 22 detects that the change in the visual environment parameter is greater than the preset light source change threshold, the activity detection and recording module 21 and the environmental change detection module 22 work together to control the change monitoring and recording module 23 to start the activity recording work and record the activity visual environment parameters, including the working visual environment parameters, the sensing activity time parameters, and the activity visual environment parameters.

[0057] The dynamic visual environment monitoring and analysis module 32 acquires monitoring parameters from the environmental change detection module 22 and the change monitoring and recording module 23 to generate dynamic visual environment monitoring data. This data is then compared and analyzed by the processing and feedback module 34, which outputs dynamic feedback information. The multi-terminal connection module 35 transmits this dynamic feedback information to the feedback unit 4. The receiving and processing module 41 receives and processes the dynamic feedback information into feedback image information, which is then displayed by the feedback display module 42. Simultaneously, the analysis and early warning module 43 converts feedback information exceeding or falling below the visual environment threshold for the learning activity into early warning information, which is then simultaneously displayed on the feedback display module 42.

[0058] Third embodiment:

[0059] During cumulative statistics, when learning and testing are used, the static monitoring unit 1 is set at the work monitoring point, and the dynamic monitoring unit 2 is worn by the user. The object detection module 11 detects the work status of the work object. When the object detection module 11 determines that the work object is in a work state, it triggers the activation of the linkage control environment detection module 12, the static monitoring recording module 13, and the dynamic monitoring unit 2 for detection. The environment detection module 12 detects and acquires the visual environment parameters of the work, the static monitoring recording module 13 records the work time of the work object, and the environmental change detection module 22 detects the work environment. When the activity fluctuation parameter change monitored by the activity detection recording module 21 is lower than the preset object activity amplitude threshold and the visual environment parameter change monitored by the environmental change detection module 22 is less than the preset light source change threshold, the change monitoring recording module 23 stops recording.

[0060] The visual environment monitoring and analysis module 31 for learning assignments acquires monitoring parameters from the environment detection module 12 and the static monitoring and recording module 13 to generate visual environment monitoring data for learning assignments, including learning assignment time parameters and visual environment parameters. This data is then compared and analyzed by the processing and feedback module 34, which outputs learning assignment feedback information. The multi-terminal connection module 35 transmits this feedback information to the feedback unit 4. The receiving and processing module 41 receives and processes the learning assignment feedback information into feedback image information, which is then displayed by the feedback display module 42. Simultaneously, the analysis and early warning module 43 converts feedback information exceeding or falling below the visual environment threshold for learning activities into early warning information, which is then simultaneously displayed on the feedback display module 42.

[0061] When using activity detection, the static monitoring unit 1 is set at the work monitoring point, and the object detection module 11 detects the work status of the work object. When the object detection module 11 determines that the work object is in a departed state, the linkage control environment detection module 12 and the static monitoring record module 13 are paused to perform work detection.

[0062] The dynamic monitoring unit 2 is worn by the user. The environmental change detection module 22 detects the working environment. When the activity detection and recording module 21 detects that the change in the activity fluctuation parameter exceeds the preset object activity amplitude threshold and the environmental change detection module 22 detects that the change in the visual environment parameter is greater than the preset light source change threshold, the activity detection and recording module 21 and the environmental change detection module 22 work together to control the change monitoring and recording module 23 to start the activity recording work and record the activity visual environment parameters, including the working visual environment parameters, the sensing activity time parameters, and the activity visual environment parameters.

[0063] The dynamic visual environment monitoring and analysis module 32 acquires monitoring parameters from the environmental change detection module 22 and the change monitoring and recording module 23 to generate dynamic visual environment monitoring data. This data is then compared and analyzed by the processing and feedback module 34, which outputs dynamic feedback information. The multi-terminal connection module 35 transmits this dynamic feedback information to the feedback unit 4. The receiving and processing module 41 receives and processes the dynamic feedback information into feedback image information, which is then displayed by the feedback display module 42. Simultaneously, the analysis and early warning module 43 converts feedback information exceeding or falling below the visual environment threshold for the learning activity into early warning information, which is then simultaneously displayed on the feedback display module 42.

[0064] The analysis and early warning module 43 analyzes the accumulated feedback information and provides adjustment reference information, which is then displayed in the feedback display module 42 for user reference. Example

[0065] When learning to use the monitoring system, the main unit of the monitor is set at the work monitoring point, and the badge illuminance meter is worn by the user. The main unit's radar module detects the working status of the work object. When the main unit's radar module determines that the work object is in a working state, it triggers the activation of the main unit's visual brightness detection module, the static monitoring and recording module 13, and the badge illuminance meter to perform detection. The main unit's visual brightness detection module detects and acquires the visual environment parameters of the work, the static monitoring and recording module 13 records the working time of the work object, and the badge illuminance detection module detects the working environment. When the activity fluctuation parameter change monitored by the activity detection and recording module 21 is lower than the preset object activity amplitude threshold, and the visual environment parameter change monitored by the badge illuminance detection module is less than the preset light source change threshold, the change monitoring and recording module 23 stops recording.

[0066] The visual environment monitoring and analysis module 31 for learning assignments acquires monitoring parameters from the host visual brightness detection module and the static monitoring and recording module 13 to generate visual environment monitoring data for learning assignments, including learning assignment time parameters and visual environment parameters. This data is then compared and analyzed by the processing and feedback module 34, which outputs learning assignment feedback information. The multi-terminal connection module 35 transmits this feedback information to the WeChat mini-program or mobile app. The receiving and processing module 41 receives and processes the learning assignment feedback information into feedback image information, which is then displayed by the feedback display module 42. Simultaneously, the analysis and early warning module 43 converts feedback information exceeding or falling below the visual environment threshold for learning activities into early warning information, which is then simultaneously displayed on the feedback display module 42.

[0067] When the activity detection is used, the main unit of the monitoring instrument is set at the work monitoring point. The main unit radar module detects the work status of the work object. When the main unit radar module determines that the work object is in the departure state, it will link the main unit visual brightness detection module and static monitoring recording module 13 to stop the work detection.

[0068] The badge illuminance meter is worn by the user. The badge illuminance detection module detects the working environment. When the activity detection and recording module 21 detects that the change in the activity fluctuation parameter exceeds the preset object activity amplitude threshold and the badge illuminance detection module detects that the change in the visual environment parameter is greater than the preset light source change threshold, the activity detection and recording module 21 and the badge illuminance detection module work together to control the change monitoring and recording module 23 to start the activity recording work and record the activity visual environment parameters, including the working visual environment parameters, the sensing activity time parameters, and the activity visual environment parameters.

[0069] The dynamic visual environment monitoring and analysis module 32 acquires monitoring parameters from the badge illumination detection module and the change monitoring and recording module 23 to generate dynamic visual environment monitoring data. This data is then compared and analyzed by the processing and feedback module 34, which outputs dynamic feedback information. The multi-terminal connection module 35 transmits this dynamic feedback information to the WeChat mini-program or mobile app. The receiving and processing module 41 receives and processes the dynamic feedback information into feedback image information, which is then displayed by the feedback display module 42. Simultaneously, the analysis and early warning module 43 converts feedback information exceeding or falling below the visual environment threshold for learning activities into early warning information, which is then simultaneously displayed on the feedback display module 42.

[0070] During cumulative statistics, when learning and testing are being conducted, the monitoring host is set up at the work monitoring point, the badge illuminance meter is worn by the user, and the host radar module detects the work status of the work object. When the host radar module determines that the work object is in a working state, it triggers the activation of the host visual brightness detection module, the static monitoring and recording module 13, and the badge illuminance meter for detection. The host visual brightness detection module detects and acquires the work visual environment parameters, the static monitoring and recording module 13 records the work time of the work object, and the badge illuminance detection module detects the work environment. When the activity fluctuation parameter change monitored by the activity detection and recording module 21 is lower than the preset object activity amplitude threshold, and the visual environment parameter change monitored by the badge illuminance detection module is less than the preset light source change threshold, the change monitoring and recording module 23 stops recording.

[0071] The visual environment monitoring and analysis module 31 for learning assignments acquires monitoring parameters from the host visual brightness detection module and the static monitoring and recording module 13 to generate visual environment monitoring data for learning assignments, including learning assignment time parameters and visual environment parameters. This data is then compared and analyzed by the processing and feedback module 34, which outputs learning assignment feedback information. The multi-terminal connection module 35 transmits this feedback information to the WeChat mini-program or mobile app. The receiving and processing module 41 receives and processes the learning assignment feedback information into feedback image information, which is then displayed by the feedback display module 42. Simultaneously, the analysis and early warning module 43 converts feedback information exceeding or falling below the visual environment threshold for learning activities into early warning information, which is then simultaneously displayed on the feedback display module 42.

[0072] When using activity detection, the main unit of the monitor is set at the work monitoring point. The main unit radar module detects the work status of the work object. When the main unit radar module determines that the work object is in a state of leaving, it controls the main unit visual brightness detection module and static monitoring recording module 13 to pause the work detection.

[0073] The badge illuminance meter is worn by the user. The badge illuminance detection module detects the working environment. When the activity detection and recording module 21 detects that the change in the activity fluctuation parameter exceeds the preset object activity amplitude threshold and the badge illuminance detection module detects that the change in the visual environment parameter is greater than the preset light source change threshold, the activity detection and recording module 21 and the badge illuminance detection module work together to control the change monitoring and recording module 23 to start the activity recording work and record the activity visual environment parameters, including the working visual environment parameters, the sensing activity time parameters, and the activity visual environment parameters.

[0074] The dynamic visual environment monitoring and analysis module 32 acquires monitoring parameters from the badge illumination detection module and the change monitoring and recording module 23 to generate dynamic visual environment monitoring data. This data is then compared and analyzed by the processing and feedback module 34, which outputs dynamic feedback information. The multi-terminal connection module 35 transmits this dynamic feedback information to the WeChat mini-program or mobile app. The receiving and processing module 41 receives and processes the dynamic feedback information into feedback image information, which is then displayed by the feedback display module 42. Simultaneously, the analysis and early warning module 43 converts feedback information exceeding or falling below the visual environment threshold for learning activities into early warning information, which is then simultaneously displayed on the feedback display module 42.

[0075] The analysis and early warning module 43 analyzes the accumulated feedback information and provides adjustment reference information, which is then displayed in the feedback display module 42 for user reference.

[0076] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the implementation of the present invention. Those skilled in the art can make other variations or modifications based on the above description. It is neither necessary nor possible to exhaustively describe all embodiments here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. A dynamic monitoring feedback system for learning and activity visual environment of a work object, characterized in that, It comprises a static monitoring unit (1), a dynamic monitoring unit (2), a data analysis processing unit (3) and a feedback unit (4); The static monitoring unit (1) is communicatively connected with the dynamic monitoring unit (2); The static monitoring unit (1) comprises an object detection module (11) for detecting and judging whether the work object is in a working state, an environment detection module (12) for detecting and acquiring work visual environment parameters, and a static monitoring recording module (13) for recording the work time of the work object; the object detection module (11) controls the start and stop of the environment detection module (12), the static monitoring recording module (13) and the dynamic monitoring unit (2) according to the detection and judgment result; The dynamic monitoring unit (2) comprises an activity detection recording module (21) for monitoring the activity fluctuation parameters of the work object, an environment change detection module (22) for detecting the visual environment fluctuation parameters, and a change monitoring recording module (23) for recording the activity fluctuation parameters and the visual environment fluctuation parameters; The data analysis processing unit (3) is used for receiving and processing the data transmitted by the static monitoring unit (1) and the dynamic monitoring unit (2), generating feedback information and transmitting the feedback information to the feedback unit (4); The feedback unit (4) receives the feedback information transmitted by the data analysis processing unit (3), generates feedback image information, The dynamic monitoring unit (2) is carried on the work object; when the activity detection recording module (21) monitors that the change of the activity fluctuation parameters exceeds a preset object activity amplitude threshold, and the environment change detection module (22) monitors that the visual environment fluctuation parameters reach or exceed a preset light source change threshold, the change monitoring recording module (23) is started, The data analysis processing unit (3) comprises a learning work visual environment monitoring analysis module (31), a dynamic visual environment monitoring analysis module (32), a processing feedback module (34) and a multi-terminal connection module (35); the multi-terminal connection module (35) is in communication with the static monitoring unit (1) and the dynamic monitoring unit (2) and obtains the data transmitted by the static monitoring unit (1) and the dynamic monitoring unit (2); The learning work visual environment monitoring analysis module (31) obtains the monitoring parameters of the environment detection module (12), the static monitoring recording module (13) and the environment change detection module (22) through the multi-terminal connection module (35), generates learning work visual environment monitoring data, and compares and analyzes the learning work visual environment monitoring data by the processing feedback module (34) to output learning work feedback information; The dynamic visual environment monitoring analysis module (32) obtains the monitoring parameters of the environment change detection module (22) and the change monitoring recording module (23) through the multi-terminal connection module (35), generates dynamic visual environment monitoring data, and compares and analyzes the dynamic visual environment monitoring data by the processing feedback module (34) to output dynamic feedback information, The feedback unit (4) comprises a receiving and processing module (41), a feedback display module (42) and an analysis and warning module (43), the receiving and processing module (41) receives and processes learning task feedback information and dynamic feedback information into feedback image information, the feedback display module (42) displays the feedback image information, the analysis and warning module (43) converts feedback information exceeding or lower than a learning activity visual environment threshold into warning information, the warning information is displayed synchronously in the feedback display module (42), the analysis and warning module (43) also gives adjustment reference information according to the feedback image information, and the adjustment reference information is displayed in the feedback display module (42).

2. The job object learning and activity visual environment dynamic monitoring feedback system according to claim 1, wherein, The multi-terminal connection module (35) transmits learning task feedback information and dynamic feedback information to the feedback unit (4).

3. The visual environment dynamic monitoring feedback method of the job object learning and activity visual environment dynamic monitoring feedback system according to claim 1, characterized in that, The method comprises the following steps: A static monitoring unit (1) is arranged near a learning and activity environment of a task object, and a dynamic monitoring unit (2) is carried by the task object; The static monitoring unit (1) and the dynamic monitoring unit (2) are communicatively connected, and a data analysis and processing unit (3) is communicatively connected with the static monitoring unit (1) and the dynamic monitoring unit (2); An object detection module (11) of the static monitoring unit (1) detects and judges whether the task object is in a task state, controls start and stop of an environment detection module (12), a static monitoring recording module (13) and the dynamic monitoring unit (2) according to a detection and judgment result, detects and acquires task visual environment parameters when the environment detection module (12) is started, and records a task time of the task object when the static monitoring recording module (13) is started; When the dynamic monitoring unit (2) is started, an activity detection recording module (21) of the dynamic monitoring unit (2) detects activity fluctuation parameters of the task object, an environment change detection module (22) detects visual environment fluctuation parameters, and a change monitoring recording module (23) records the activity fluctuation parameters and the visual environment fluctuation parameters; The data analysis and processing unit (3) receives and processes data transmitted by the static monitoring unit (1) and the dynamic monitoring unit (2), generates feedback information and transmits the feedback information to the feedback unit (4); The feedback unit (4) receives feedback information transmitted by the data analysis and processing unit (3) and generates feedback image information.

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