AR glasses remote cooperation image processing system and method for information machine room

Abstract

The invention discloses an AR glasses remote cooperation image processing system and method for an information machine room, and relates to the technical field of AR, and the system comprises an AR glasses end, a remote cooperation module, and an application end. The remote cooperation module can flexibly customize a knowledge operation instruction through a low-code workflow application, supports dragging a corresponding template to form an operation instruction and a training business process, then publishes knowledge content, and provides a related interface for AR intelligent equipment, and the application end carries out information communication through an information communication technology. A service mode is upgraded by utilizing the characteristics of a first visual angle and two-hand liberation of AR glasses, the real-time audio and video, dynamic labeling and data sharing functions are utilized to assist efficient processing of difficult problems on site and real-time communication of fault conditions, and the AR glasses end comprises a scene recognition module, an image-text recognition module and a two-dimensional code scanning module.

Description

Technical Field

[0001] This invention relates to the field of inspection system technology, specifically to an AR glasses remote collaborative image processing system and method for use in information computer rooms. Background Technology

[0002] An AR glasses-based remote collaborative image processing system is a system that combines augmented reality (AR) technology with remote collaboration capabilities. It enables image processing operations during remote collaboration through AR glasses. This system allows users in different locations to share real-time images and perform real-time image processing. Users can see the real-time image seen by another user through AR glasses and perform annotation, adjustment, and editing operations, thus achieving remote collaboration.

[0003] Current AR glasses remote collaborative image processing systems often experience page crashes due to the instability of low-code streaming when generating remote work instructions. While the page typically scales down to display correctly, this requires manual adjustment. Furthermore, different AR devices have varying workloads, and signal transmission hardware is generally designed to handle data volume based on workload, leading to excessive costs. Therefore, designing a flexible AR glasses remote collaborative image processing system for data centers is essential. Summary of the Invention

[0004] The purpose of this invention is to provide a remote collaborative image processing system and method for AR glasses in information rooms, so as to solve the problems mentioned in the background art.

[0005] To address the aforementioned technical problems, this invention provides the following technical solution: an AR glasses remote collaborative image processing system for information rooms, comprising an AR glasses terminal, a remote collaboration module, and an application terminal. The AR glasses terminal is used to capture triggering conditions related to scene equipment on-site. The remote collaboration module can flexibly customize a knowledge-based task instruction through low-code workflow applications, supporting drag-and-drop of corresponding templates to form task instructions and training business processes, then publishing knowledge content, and providing relevant interfaces to AR smart devices. The application terminal, through information communication technology, leverages the first-person perspective and hands-free features of AR glasses to upgrade service methods, assisting in efficient on-site problem handling and real-time communication of fault conditions through real-time audio and video, dynamic annotation, and data sharing functions.

[0006] According to the above technical solution, the AR glasses terminal includes a scene recognition module, an image and text recognition module, a QR code scanning module, an NFC chip module, and a voice list query module. The scene recognition module uses image recognition technology to analyze and recognize the scene through real-time images captured by the camera, thereby obtaining scene information. Based on the recognized scene information, it realizes functions such as positioning and navigation, and augmented reality. The image and text recognition module is used to recognize the text content in the images captured by the camera and convert it into readable text information. Users can recognize and browse the image and text information through the AR glasses to quickly obtain information. The QR code scanning module scans and recognizes QR codes through the camera to obtain the information content. It can quickly recognize QR codes and jump to the corresponding webpage or application. The NFC chip module is used to realize near-field communication function, supporting data transmission or information sharing between the AR glasses and other NFC devices. Users can realize functions such as payment and access card recognition through the NFC chip module. The voice list query module realizes the query and search of relevant content through voice input commands, realizes voice recognition function, and obtains relevant information through network connection to improve user experience.

[0007] The application includes a multi-dimensional template component, a content push module, and a knowledge base. The content push module is electrically connected to the knowledge base. The multi-dimensional template component completes the low-code configuration of knowledge content through a visual drag-and-drop component. The knowledge base is used to standardize and generate standardized operation content from experienced employees through manual confirmation. The content push module is used to automatically push knowledge base content based on dimensions such as device ID, task work order, and role organization.

[0008] The remote collaboration module includes an IM module, a freeze screen marking module, a document sharing module, a collaboration empowerment module, and a work empowerment module. The IM module and the work empowerment module are electrically connected, and the collaboration empowerment module and the freeze screen marking module are electrically connected.

[0009] The IM module provides instant messaging functionality, supporting one-on-one chat, group chat, sending images, text, voice, files, and initiating remote collaboration. The freeze-screen marking module allows users to mark, draw, or annotate on a static screen, enabling them to take notes or emphasize specific content. The document sharing module allows multiple users to share, view, and edit the same document. The collaboration empowerment module enables real-time communication with experts, providing screen sharing, electronic whiteboard collaboration, and supporting real-time AR annotation based on the latest SLAM algorithm for precise remote assistance. The work empowerment module uses Android / iOS / SaaS to record the time of each meeting in detail and automatically generate reports, improving employee efficiency.

[0010] Based on the above technical solution, the working method of this system is as follows:

[0011] S1. Use AR glasses to capture the triggering conditions related to the equipment in the scene and capture scene information in real time;

[0012] S2, the remote collaboration module uses low-code workflow applications, allows users to customize a knowledge assignment guide, supports dragging and dropping corresponding templates to create assignment guides, train business processes, and publish knowledge content;

[0013] S3, the remote collaboration module provides relevant interfaces to AR smart devices, transmitting the data collected by the AR devices to remote operators in real time, allowing remote operators to directly operate the AR devices to perform specific operations;

[0014] S4, the application terminal assists in efficiently handling difficult problems on-site through real-time audio and video, dynamic annotation, and data sharing functions, and facilitates real-time communication to address fault situations.

[0015] According to the above technical solution, the specific process of dragging and dropping the corresponding template to form a work instruction in step S2 is as follows:

[0016] S2-1. Before applying for guidance on this page, the multi-dimensional template component needs to register a knowledge base through the knowledge base registration module. The knowledge base data of the multi-dimensional template component is stored through the knowledge base data recording module.

[0017] S2-2. In the guidance application, the multi-dimensional template component performs memory evaluation through the memory evaluation module and displays the results. The normal display rate in the display information is related to the proportion of complex layouts in the memory page, the number of crash records of the multi-dimensional template component, and the page loading time. The total number of complex layouts is calculated by the complex layout statistics module, and the crash records of the multi-dimensional template component are recorded by the knowledge base credit module.

[0018] S2-3. When the existing memory capacity of the multi-dimensional template component is insufficient for normal display, the memory consumption calculation module will calculate the remaining memory consumption required. The page allows the multi-dimensional template component to load component functions through the function selective loading module and scale the display of component functions.

[0019] According to the above technical solution, the calculation method for the normal display rate in step S2-2 is as follows:

[0020] The normal display rate is the ratio of the complete page to the displayed page. The calculation of the normal display rate in this memory page takes into account the following factors: the risks existing in memory, the stability of multi-dimensional template components, and the page loading time to adjust the normal display rate of the information displayed in this memory page.

[0021] The risks associated with memory can be specifically defined as the proportion of complex layouts within the memory page relative to the total multi-dimensional template components. When the proportion of complex layouts within the memory page increases, the number of high-load components within the page increases, the page's display capability weakens, and consequently, the difficulty of the page continuing to run increases. Therefore, to improve the safety margin, the page will appropriately reduce the normal display rate of the displayed information. The normal display rate decreases as the proportion of complex layouts within the memory page increases.

[0022] The stability of a multi-dimensional template component is reflected in whether it has ever crashed. When a multi-dimensional template component has never crashed, the page will not make any additional adjustments to the normal display rate of its displayed information. When a multi-dimensional template component has crashed, but the number of times is small and it recovers to normal operation within a specified time, the page will appropriately reduce the normal display rate of its displayed information. When a multi-dimensional template component has too many crashes or still has memory that has not yet recovered to normal operation, the page will no longer provide memory to it.

[0023] The longer the page loads, the higher the uncertainty of the memory provided by the page. To reduce the risk, the normal display rate will also decrease as the memory usage time increases.

[0024] According to the above technical solution, the formula for calculating the normal display rate in step S2-2 is:

[0025] Where W is the normal display rate. y represents the initial normal display rate, y represents the total number of complex layouts, n represents the number of crash records for this multi-dimensional template component, and t represents the page loading time for the multi-dimensional template component. , This is the adjustment coefficient.

[0026] According to the above technical solution, the specific process of real-time transmission to the remote operator in step S3 is as follows:

[0027] S3-1: Real-time scanning is performed to check whether there are entities in a large scanning area. At this time, the slow transmission unit and the high-speed transmission unit are in sleep mode, and the overall power consumption is the lowest.

[0028] S3-2. When an entity appears in the scanning area, the slow transmission unit is activated to capture images of the smaller acquisition area in front and analyze the images. The overall power consumption is moderate.

[0029] S3-3. When the time an entity stays in the acquisition area exceeds the set value, the high-speed transmission unit is activated and the AR recognition function is started to analyze the AR captured information. The overall power consumption is the highest. High-resolution image information is sent to other smart devices that have not performed high-resolution recognition. The data is distributed remotely in real-time according to the respective data capacities of these devices, enabling collaborative analysis and transmission of the information to the operator's control terminal.

[0030] According to the above technical solution, the allocation method for remote real-time transmission in S3-4 is as follows:

[0031] When the slow transmission unit of the AR smart device is not working, that is, when no entity appears in the scanning area, its wireless transmission module can fully take over the remote real-time transmission of other AR smart devices.

[0032] When the slow transmission unit of the AR smart device starts working, that is, when entities begin to appear in the scanning area, the proportion of other remote real-time transmissions it undertakes is reduced. Specifically, the remaining data volume for processing other information tasks in real time decreases proportionally with the time it takes for entities to appear, until the high-speed transmission unit is triggered, at which point the remaining data volume is zero.

[0033] ,

[0034] in Real-time processing of data volume from other transmission tasks For the total amount of data, The amount of data required for processing information tasks in the slow transmission unit. The time to trigger the high-speed transmission unit, The time an entity spends.

[0035] Compared with the prior art, the beneficial effects achieved by the present invention are: by adjusting the normal display rate of information displayed in the memory page based on the risks of memory, the stability of multi-dimensional template components, and the page loading time, the present invention can effectively improve the accuracy of information display on the page and prevent the application page from crashing due to high load and affecting remote collaboration.

[0036] By dynamically adjusting the transmission ratio, idle AR smart devices can take over the signal transmission work of other AR smart devices. This allows devices to adapt more intelligently to transmission needs in different situations, utilize device resources more effectively, and improve the overall performance and work efficiency of the devices. Attached Figure Description

[0038] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0039] Figure 1 This is a schematic diagram of the overall modular structure of the present invention;

[0040] Figure 2 This is a schematic diagram of the main workflow of the present invention;

[0041] Figure 3 This is a schematic diagram illustrating the specific process of the work instructions of the present invention;

[0042] Figure 4 This is a schematic diagram of the allocation of remote real-time transmission according to the present invention. Detailed Implementation

[0044] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0045] Please see Figures 1-4 This invention provides a technical solution: an AR glasses remote collaborative image processing system for information rooms, including an AR glasses terminal, a remote collaboration module, and an application terminal. The AR glasses terminal is used to capture the triggering conditions related to the scene and equipment on site. The remote collaboration module can flexibly customize a knowledge task guide through low-code workflow application, supports dragging and dropping corresponding templates to form task guides and training business processes, and then publish knowledge content and provide relevant interfaces to AR smart devices. The application terminal upgrades the service method through information communication technology, taking advantage of the first-person perspective and hands-free characteristics of AR glasses. Through real-time audio and video, dynamic annotation, and data sharing functions, it assists in efficiently handling difficult problems on site and communicates fault conditions in real time.

[0046] The AR glasses module includes a scene recognition module, an image and text recognition module, a QR code scanning module, an NFC chip module, and a voice list query module. The scene recognition module uses image recognition technology to analyze and identify scenes captured by the camera in real time, thereby obtaining scene information. Based on the identified scene information, it enables functions such as location navigation and augmented reality. The image and text recognition module identifies the text content in images captured by the camera and converts it into readable text information. Users can quickly access information by recognizing and browsing the text and images through the AR glasses. The QR code scanning module scans and recognizes QR codes to obtain information content, enabling quick QR code recognition and redirection to the corresponding webpage or application. The NFC chip module enables near-field communication, supporting data transmission and information sharing between the AR glasses and other NFC devices. Users can use the NFC chip module for payment, access card recognition, and other functions. The voice list query module allows users to query and search for relevant content through voice input commands, achieving voice recognition functionality and obtaining relevant information through network connection, improving user experience.

[0047] The application includes a multi-dimensional template component, a content push module, and a knowledge base. The content push module is electrically connected to the knowledge base. The multi-dimensional template component completes the low-code configuration of knowledge content through a visual drag-and-drop component. The knowledge base is used to generate standardized operation content from experienced employees through manual confirmation. The content push module is used to automatically push knowledge base content based on dimensions such as device ID, task work order, and role organization.

[0048] The remote collaboration module includes an IM module, a freeze screen marking module, a document sharing module, a collaboration empowerment module, and a work empowerment module. The IM module and the work empowerment module are electrically connected, and the collaboration empowerment module and the freeze screen marking module are electrically connected.

[0049] The IM module provides instant messaging functionality, supporting one-on-one chat, group chat, sending pictures, text, voice, files, and initiating remote collaboration. The freeze screen marking module allows users to mark, draw, or annotate on a static screen, enabling them to take notes or emphasize specific content. The document sharing module allows multiple users to share, view, and edit the same document. The collaboration empowerment module enables real-time communication with experts, providing screen sharing, electronic whiteboard collaboration, and supporting real-time AR annotation based on the latest SLAM algorithm for precise remote assistance. The work empowerment module uses Android / iOS / SaaS to record the time of each meeting in detail and automatically generate reports, improving employee efficiency.

[0050] The system works as follows:

[0051] S1. Use AR glasses to capture the triggering conditions related to the equipment in the scene and capture scene information in real time;

[0052] S2, the remote collaboration module uses low-code workflow applications, allows users to customize a knowledge assignment guide, supports dragging and dropping corresponding templates to create assignment guides, train business processes, and publish knowledge content;

[0053] S3, the remote collaboration module provides relevant interfaces to AR smart devices, transmitting the data collected by the AR devices to remote operators in real time, allowing remote operators to directly operate the AR devices to perform specific operations;

[0054] S4. The application terminal assists in efficiently handling difficult problems on-site through real-time audio and video, dynamic annotation, and data sharing functions, and facilitates real-time communication to address fault situations.

[0055] In S2, the specific process of dragging and dropping the corresponding template to create a work instruction is as follows:

[0056] S2-1. Before applying for guidance on this page, the multi-dimensional template component needs to register a knowledge base through the knowledge base registration module. The knowledge base data of the multi-dimensional template component is stored through the knowledge base data recording module.

[0057] S2-2. In the guidance application, the multi-dimensional template component performs memory evaluation through the memory evaluation module and displays the results. The normal display rate in the display information is related to the proportion of complex layouts in the memory page, the number of crash records of the multi-dimensional template component, and the page loading time. The total number of complex layouts is calculated by the complex layout statistics module, and the crash records of the multi-dimensional template component are recorded by the knowledge base credit module.

[0058] S2-3. When the existing memory capacity of the multi-dimensional template component is insufficient for normal display, the memory consumption calculation module will calculate the remaining memory consumption required. The page allows the multi-dimensional template component to load component functions through the function selective loading module and scale the display of component functions.

[0059] In S2-2, the normal display rate is calculated as follows:

[0060] The normal display rate is the ratio of the complete page to the displayed page. The calculation of the normal display rate in this memory page takes into account the following factors: the risks existing in memory, the stability of multi-dimensional template components, and the page loading time to adjust the normal display rate of the information displayed in this memory page.

[0061] The risks associated with memory can be specifically defined as the proportion of complex layouts within the memory page relative to the total multi-dimensional template components. When the proportion of complex layouts within the memory page increases, the number of high-load components within the page increases, the page's display capability weakens, and consequently, the difficulty of the page continuing to run increases. Therefore, to improve the safety margin, the page will appropriately reduce the normal display rate of the displayed information. The normal display rate decreases as the proportion of complex layouts within the memory page increases.

[0062] The stability of a multi-dimensional template component is reflected in whether it has ever crashed. When a multi-dimensional template component has never crashed, the page will not make any additional adjustments to the normal display rate of its displayed information. When a multi-dimensional template component has crashed, but the number of times is small and it recovers to normal operation within a specified time, the page will appropriately reduce the normal display rate of its displayed information. When a multi-dimensional template component has too many crashes or still has memory that has not yet recovered to normal operation, the page will no longer provide memory to it.

[0063] The longer the page loads, the higher the uncertainty of the memory provided by the page. In order to reduce the risk, the normal display rate will also decrease as the memory usage time increases.

[0064] In S2-2, the formula for calculating the normal display rate is:

[0065]

[0066] Where W is the normal display rate. y represents the initial normal display rate, y represents the total number of complex layouts, n represents the number of crash records for this multi-dimensional template component, and t represents the page loading time for the multi-dimensional template component. , This is the adjustment coefficient;

[0067] In S3, the specific process of real-time transmission to remote operators is as follows:

[0068] S3-1: Real-time scanning is performed to check whether there are entities in a large scanning area. At this time, the slow transmission unit and the high-speed transmission unit are in sleep mode, and the overall power consumption is the lowest.

[0069] S3-2. When an entity appears in the scanning area, the slow transmission unit is activated to capture images of the smaller acquisition area in front and analyze the images. The overall power consumption is moderate.

[0070] S3-3. When the time an entity stays in the acquisition area exceeds the set value, the high-speed transmission unit is activated and the AR recognition function is started to analyze the AR captured information. The overall power consumption is the highest.

[0071] S3-4. Send high-resolution image information to other AR smart devices that have not performed high-resolution recognition, allocate remote real-time transmission according to their respective data capacities, enable multiple AR smart devices to perform collaborative analysis, and send the information to the operator's terminal.

[0072] In S3-4, the allocation method for remote real-time transmission is as follows:

[0073] When the slow transmission unit of the AR smart device is not working, that is, when no entity appears in the scanning area, its wireless transmission module can fully take over the remote real-time transmission of other AR smart devices.

[0074] When the slow transmission unit of the AR smart device starts working, that is, when entities begin to appear in the scanning area, the proportion of other remote real-time transmissions it undertakes is reduced. Specifically, the remaining data volume for processing other information tasks in real time decreases proportionally with the time it takes for entities to appear, until the high-speed transmission unit is triggered, at which point the remaining data volume is zero.

[0075] ,

[0076] in Real-time processing of data volume from other transmission tasks For the total amount of data, The amount of data required for processing information tasks in the slow transmission unit. The time to trigger the high-speed transmission unit, The time an entity spends.

[0077] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0078] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A remote collaborative image processing system for AR glasses in an information server room, characterized in that: The system includes AR glasses, a remote collaboration module, and an application. The AR glasses are used to capture triggering conditions related to the scene and equipment. The remote collaboration module can flexibly customize a knowledge-based task instruction through a low-code workflow application, supporting drag-and-drop templates to form task instructions and training business processes, and then publishing knowledge content and providing relevant interfaces to AR smart devices. The application uses information and communication technology to upgrade service methods by leveraging the first-person perspective and hands-free features of AR glasses. Through real-time audio and video, dynamic annotation, and data sharing functions, it assists in efficiently handling difficult problems on-site and facilitates real-time communication on fault conditions.

2. The AR glasses remote collaborative image processing system for an information room according to claim 1, characterized in that: The AR glasses include a scene recognition module, an image and text recognition module, a QR code scanning module, an NFC chip module, and a voice list query module. The scene recognition module analyzes and recognizes the scene using image recognition technology based on real-time images captured by the camera, thereby obtaining scene information. Based on the recognized scene information, it enables positioning, navigation, and augmented reality functions. The image and text recognition module identifies the text content in images captured by the camera and converts it into readable text information. Users can quickly access and browse this text information through the AR glasses. The QR code scanning module scans and recognizes QR codes using the camera, obtaining the information content within them. It enables quick QR code recognition and redirection to the corresponding webpage or application. The NFC chip module enables near-field communication, supporting data transmission and information sharing between the AR glasses and other NFC devices. Users can use the NFC chip module for payment and access card recognition. The voice list query module allows users to query and search for relevant content through voice input commands, achieving voice recognition and obtaining relevant information via network connection, thus improving the user experience. The application includes a multi-dimensional template component, a content push module, and a knowledge base. The content push module is electrically connected to the knowledge base. The multi-dimensional template component completes the low-code configuration of knowledge content through a visual drag-and-drop component. The knowledge base is used to standardize and generate standardized operation content from experienced employees through manual confirmation. The content push module is used to automatically push knowledge base content based on dimensions such as device ID, task work order, and role organization. The remote collaboration module includes an IM module, a freeze screen marking module, a document sharing module, a collaboration empowerment module, and a work empowerment module. The IM module and the work empowerment module are electrically connected, and the collaboration empowerment module and the freeze screen marking module are electrically connected. The IM module provides instant messaging functionality, supporting one-on-one chat, group chat, sending images, text, voice, files, and initiating remote collaboration. The freeze-screen marking module allows users to mark, draw, or annotate on a static screen, enabling them to take notes or emphasize specific content. The document sharing module allows multiple users to share, view, and edit the same document. The collaboration empowerment module enables real-time communication with experts, providing screen sharing, electronic whiteboard collaboration, and supporting real-time AR annotation based on the latest SLAM algorithm for precise remote assistance. The work empowerment module uses Android / iOS / SaaS to record the time of each meeting in detail and automatically generate reports, improving employee efficiency.

3. A remote collaborative image processing method for AR glasses in an information server room, characterized in that: The specific steps include the following: S1. Use AR glasses to capture the triggering conditions related to the equipment in the scene and capture scene information in real time; S2, the remote collaboration module uses low-code workflow applications, allows users to customize a knowledge assignment guide, supports dragging and dropping corresponding templates to create assignment guides, train business processes, and publish knowledge content; S3, the remote collaboration module provides relevant interfaces to AR smart devices, and transmits the data collected by the AR devices to remote operators in real time, allowing remote operators to directly operate the AR devices to perform specific operations; S4, the application terminal assists in efficiently handling difficult problems on-site through real-time audio and video, dynamic annotation, and data sharing functions, and facilitates real-time communication to address fault situations.

4. The method for remote collaborative image processing of AR glasses in an information room according to claim 3, characterized in that: In step S2, the specific process of dragging and dropping the corresponding template to form a work instruction is as follows: S2-1. Before applying for guidance on this page, the multi-dimensional template component needs to register a knowledge base through the knowledge base registration module. The knowledge base data of the multi-dimensional template component is stored through the knowledge base data recording module. S2-2. In the guidance application, the multi-dimensional template component performs memory evaluation through the memory evaluation module and displays the results. The normal display rate in the display information is related to the proportion of complex layouts in the memory page, the number of crash records of the multi-dimensional template component, and the page loading time. The total number of complex layouts is calculated by the complex layout statistics module, and the crash records of the multi-dimensional template component are recorded by the knowledge base credit module. S2-3. When the existing memory capacity of the multi-dimensional template component is insufficient for normal display, the memory consumption calculation module will calculate the remaining memory consumption required. The page allows the multi-dimensional template component to load component functions through the function selective loading module and scale the display of component functions.

5. The method for remote collaborative image processing of AR glasses in an information room according to claim 4, characterized in that: In S2-2, the normal display rate is calculated as follows: The normal display rate is the ratio of the complete page to the displayed page. The calculation of the normal display rate in this memory page takes into account the following factors: the risks existing in memory, the stability of multi-dimensional template components, and the page loading time to adjust the normal display rate of the information displayed in this memory page. The risks associated with memory can be specifically defined as the proportion of complex layouts within the memory page relative to the total multi-dimensional template components. When the proportion of complex layouts within the memory page increases, the number of high-load components within the page increases, the page's display capability weakens, and consequently, the difficulty of the page continuing to run increases. Therefore, to improve the safety margin, the page will appropriately reduce the normal display rate of the displayed information. The normal display rate decreases as the proportion of complex layouts within the memory page increases. The stability of a multi-dimensional template component is reflected in whether it has ever crashed. When a multi-dimensional template component has never crashed, the page will not make any additional adjustments to the normal display rate of its displayed information. When a multi-dimensional template component has crashed, but the number of times is small and it recovers to normal operation within a specified time, the page will appropriately reduce the normal display rate of its displayed information. When a multi-dimensional template component has too many crashes or still has memory that has not yet recovered to normal operation, the page will no longer provide memory to it. The longer the page loads, the higher the uncertainty of the memory provided by the page. To reduce the risk, the normal display rate will also decrease as the memory usage time increases.

6. The method for remote collaborative image processing of AR glasses in an information room according to claim 5, characterized in that: In S2-2, the formula for calculating the normal display rate is: ， Where W is the normal display rate. y represents the initial normal display rate, y represents the total number of complex layouts, n represents the number of crash records for this multi-dimensional template component, and t represents the page loading time for the multi-dimensional template component. , This is the adjustment coefficient.

7. The method for remote collaborative image processing of AR glasses in an information room according to claim 6, characterized in that: In step S3, the specific process of transmitting data to the remote operator in real time is as follows: S3-1: Real-time scanning is performed to check whether there are entities in a large scanning area. At this time, the slow transmission unit and the high-speed transmission unit are in sleep mode, and the overall power consumption is the lowest. S3-2. When an entity appears in the scanning area, the slow transmission unit is activated to capture images of the smaller acquisition area in front and analyze the images. The overall power consumption is moderate. S3-3. When the time an entity stays in the acquisition area exceeds the set value, the high-speed transmission unit is activated and the AR recognition function is started to analyze the AR captured information. The overall power consumption is the highest. S3-4. Send high-resolution image information to other AR smart devices that have not performed high-resolution recognition, allocate remote real-time transmission according to their respective data capacities, enable multiple AR smart devices to perform collaborative analysis, and send the information to the operator's terminal.

8. The method for remote collaborative image processing of AR glasses in an information room according to claim 7, characterized in that: In S3-4, the allocation method for remote real-time transmission is as follows: When the slow transmission unit of the AR smart device is not working, that is, when no entity appears in the scanning area, its wireless transmission module can fully take over the remote real-time transmission of other AR smart devices. When the slow transmission unit of the AR smart device starts working, that is, when entities begin to appear in the scanning area, the proportion of other remote real-time transmissions it undertakes is reduced. Specifically, the remaining data volume for processing other information tasks in real time decreases proportionally with the time it takes for entities to appear, until the high-speed transmission unit is triggered, at which point the remaining data volume is zero. , in Real-time processing of data volume from other transmission tasks For the total amount of data, The amount of data required for processing information tasks in the slow transmission unit. The time to trigger the high-speed transmission unit, The time an entity spends.

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