VR remote visit system

Abstract

The invention belongs to the field of VR remote visit management, and discloses a VR remote visit system, which comprises a personnel historical behavior analysis module, a visit priority analysis module, a display function quality analysis module, a transmission function quality analysis module, an equipment maintenance demand judgment module and a data storage library. The remote visiting priority of the applicant is analyzed in the VR remote visiting management process, the visiting is sorted based on the analysis result, the analysis mode can ensure that the patient obtains the visiting opportunity when the patient is most needed, and limited visiting resources can be more reasonably distributed. In the VR remote visiting management process, display function quality and transmission function quality analysis is carried out on the remote visiting equipment, and then equipment maintenance demand judgment is carried out, so that occurrence of equipment faults can be predicted and prevented, and the situation that normal proceeding of visiting activities is affected due to the fact that the equipment breaks down at a critical moment is avoided.

Description

Technical Field

[0001] The invention belongs to the technical field of VR remote visitation management and relates to a VR remote visitation system. Background Art

[0002] VR remote visiting is a new type of visiting method that uses virtual reality technology. When users wear VR equipment, they can see the real scene of the visited place as if they were there, realizing remote immersive visiting. For patients in intensive care units or patients with infectious diseases who need to be isolated for treatment, family members cannot accompany them at close range. The VR remote visiting system breaks this limitation, alleviating the loneliness and fear of patients, while also reducing the risk of infection caused by contact between people. The existing use of VR remote visiting needs to ensure normal medical order and efficient remote visiting quality. Therefore, the research on a VR remote visiting system is of great significance.

[0003] Existing VR remote visitation research lacks analysis of the visiting priority of applicants when conducting applicant management. The lack of this function may lead to irrational allocation of visiting resources. Families of patients with milder conditions may get visiting opportunities first, while patients who need visiting more are left behind, which will undoubtedly affect the treatment effect and rehabilitation process of patients. The lack of priority analysis will reduce the pertinence and effectiveness of visits. If the priority of applicants is not distinguished, it will be impossible to ensure that patients who need visiting the most can receive care from their families at the right time, which greatly reduces the value of visiting.

[0004] The existing VR remote visitation management lacks real-time analysis of the operating quality of remote visitation equipment. When VR remote visitation equipment fails or performance deteriorates, if the system cannot detect and remind in real time, users may encounter problems such as screen freezes, delays, and sound asynchrony during use, which will directly affect the user's visitation experience and reduce satisfaction. Lacking real-time analysis functions, managers need to rely on user feedback or regular inspections to discover equipment problems. This approach often lags behind the actual occurrence of problems, resulting in slow maintenance response and affecting the continued stable operation of the equipment. Summary of the invention

[0005] In view of this, in order to solve the problems raised in the above background technology, a VR remote visiting system is now proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A VR remote visitation system, including: a personnel historical behavior analysis module, which is used to obtain the historical behavior data of each applicant based on historical usage records and analyze the historical behavior evaluation of each applicant.

[0007] The visiting priority analysis module is used to sort the visiting priorities based on the historical behavior evaluation of each applicant, and then perform visiting operations.

[0008] The display function quality analysis module is used to record each VR remote visiting device as a visiting device, perform several display function quality tests on each visiting device, obtain the display function quality data of each visiting device in each display function quality test, and analyze the display function quality of each visiting device.

[0009] The transmission function quality analysis module is used to perform several transmission function quality tests on each visiting device, obtain the transmission function quality data of each visiting device in each transmission function quality test, and analyze the transmission function quality of each visiting device.

[0010] The equipment maintenance requirement judgment module is used to judge whether equipment maintenance is needed based on the display function quality and transmission function quality of each visiting device, record the visiting device that is judged to need equipment maintenance as an abnormal visiting device and identify the abnormal direction of the abnormal visiting device.

[0011] Data repository for storing historical usage records.

[0012] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention analyzes the remote visitation priority of applicants during VR remote visitation management and sorts visits based on the analysis results. This analysis method can ensure that patients get visitation opportunities when they need them most, thereby alleviating their anxiety and worries, improving the satisfaction and trust of patients and their families, and ensuring that limited visitation resources are more reasonably allocated. For visitation requests with higher priority, the system can respond and arrange them quickly, thereby improving the overall visitation efficiency.

[0013] (2) During the VR remote visitation management process, the present invention analyzes the display function quality and transmission function quality of the remote visitation equipment, and then determines the equipment maintenance needs. This analysis method can predict and prevent equipment failures through regular or real-time functional quality analysis. Once a potential problem is discovered, timely measures can be taken to repair or replace it to avoid equipment failure at a critical moment, which would affect the normal progress of visitation activities. A reasonable maintenance plan can be formulated based on the functional quality analysis results of the equipment. Targeted maintenance and care for weak links in the display and transmission functions can effectively extend the service life of the equipment and reduce replacement costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0015] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0016] Figure 2 A schematic diagram of an embodiment of equipment maintenance demand judgment and analysis provided by the present invention.

[0017] Figure 3 The present invention provides a logic flow chart for determining the need for identifying abnormal orientation of abnormal inspection equipment. DETAILED DESCRIPTION

[0018] 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.

[0019] See also Figure 1 As shown, the present invention provides a VR remote visiting system, which includes a personnel history behavior analysis module, a visiting priority analysis module, a display function quality analysis module, a transmission function quality analysis module, an equipment maintenance demand judgment module and a data storage library, wherein the personnel history behavior analysis module is connected to the visiting priority analysis module, the display function quality analysis module and the transmission function quality analysis module are both connected to the equipment maintenance demand judgment module, and the data storage library is respectively connected to the personnel history behavior analysis module, the display function quality analysis module and the transmission function quality analysis module.

[0020] The personnel historical behavior analysis module is used to obtain the historical behavior data of each applicant based on the historical usage records and analyze the historical behavior evaluation of each applicant.

[0021] In a preferred embodiment of the present invention, the historical behavior data includes usage frequency, interval duration, visitation time compliance index, and frequency of historical behavior violation records.

[0022] It should be noted that the reasons for selecting usage frequency, interval duration, visitation time compliance index, and frequency of historical behavior violation records as historical behavior data are as follows: 1. High usage frequency may indicate that the user is highly dependent on the function, or that the device runs frequently during the time period. By analyzing the usage frequency, we can understand user needs and device load conditions, and provide a basis for optimizing resource allocation and user experience. 2. Interval duration can reflect the user's usage habits and the idle time of the device. At the same time, abnormal interval duration may mean changes in user needs or the occurrence of device failures. 3. The visitation time compliance index helps to measure the degree of user compliance with the rules and the orderliness of the system. A high compliance index indicates that the user can conduct visitation activities in accordance with the rules, which helps to maintain a good visitation order and reduce management costs. 4. The frequency of historical behavior violation records is directly related to the reliability and security of the user or device. A high violation frequency may mean that there are potential risks and hidden dangers for the user or device.

[0023] Exemplarily, the historical behavior violation record may be unauthorized access, malicious destruction of equipment, etc.

[0024] In a preferred embodiment of the present invention, the analysis of the historical behavior evaluation of each applicant requires the construction of a historical behavior evaluation index for each applicant, and the specific steps are as follows: extract the usage frequency, interval duration, visitation time compliance index, and historical behavior violation record frequency of each applicant, respectively recorded as f i ,t i , X i , where i represents the applicant number, i=1, 2...m, and m represents the number of applicants.

[0025] Using the formula Analyze and obtain the historical behavior evaluation index HBei of each applicant i , where f0 represents the preset reference usage frequency, t0 represents the preset reference interval duration, and X0 represents the preset reference historical behavior violation record frequency.

[0026] It should be noted that the reference usage frequency, reference interval duration, and reference frequency of historical behavior violation records are set based on the following: 1. Considering the actual situation of the hospital, such as the capacity of the ward, the workload of medical staff, etc. If the hospital is short of resources, it may be necessary to appropriately reduce the reference usage frequency to avoid excessive visits interfering with medical work. 2. Follow the hospital's visiting regulations and management requirements, and determine a reasonable reference interval duration in combination with the hospital's work arrangements. For example, the hospital may stipulate that visits are not allowed during certain time periods, or have specific requirements for the intervals between consecutive visits. 3. Set the reference frequency of historical behavior violation records based on the security risks that the remote visiting system may face. For example, if there is a risk of information leakage in the system, the visiting rights of applicants with multiple violation records should be more strictly restricted.

[0027] Exemplarily, f0=0.2 times / day, t0=1 day, X0=2.

[0028] In a preferred embodiment of the present invention, the analysis steps of the visitation time compliance index are as follows: extract the historical usage records stored in the data repository, obtain the application usage time, actual usage time, application start time and actual start time corresponding to each historical usage record of each applicant, and record them as auD ij ,uD ij , asut ij sut ij , where j represents the historical usage record number, j=1, 2...n, and n represents the number of historical usage records.

[0029] It should be noted that the reasons for selecting the application duration, actual usage duration, application start time and actual start time as the influencing factors of the visiting time compliance index of each applicant are: 1. The application duration reflects the applicant's expected planning for visiting time. By comparing the actual usage duration, it can be seen whether the applicant can arrange the time reasonably and abide by his application commitment. If the applicant's actual usage time is close to the application duration, it means that they have a good control over the visiting time, and the visiting time compliance index is correspondingly high. 2. The application start time represents the time point when the applicant plans to start visiting, and the actual start time is the actual implementation time point. If the applicant can start visiting at the time of application, it means that they abide by the rules, and the visiting time compliance index will increase accordingly. This helps to maintain the visiting order and ensure that the visiting time of each applicant does not conflict.

[0030] Using the formula Analyze and obtain the visiting time compliance index of each applicant Where Δt0 represents the permitted difference between the pre-set application start time and the actual start time of use.

[0031] Exemplarily, Δt0=20 min.

[0032] The visiting priority analysis module is used to sort the visiting priorities based on the historical behavior evaluation of each applicant, and then perform the visiting operation.

[0033] In a preferred embodiment of the present invention, the specific steps of performing visitation priority ranking are as follows: extracting the historical behavior evaluation index HBei of each applicant i , using the formula Bei i =HBei i *(1+ζ i ) analysis to obtain the behavioral evaluation index of each applicant i , where ζ i Indicates the behavior evaluation correction factor corresponding to each applicant.

[0034] It is necessary to explain the reasons for revising the historical behavior evaluation index: 1. The patient's condition may change over time. For example, a patient whose condition was originally stable may suddenly deteriorate, and the degree of need for family visits will also change. Accordingly, the applicant's visiting priority should also be adjusted. Revision of the historical behavior evaluation index can better reflect the patient's new demand status and ensure that patients who need visits most are given priority. 2. The hospital's management policies, resource allocation, etc. may be adjusted. For example, the hospital may have added new wards or equipment, or made new regulations on visiting hours. These changes will affect the implementation of remote visits, so the historical behavior evaluation index needs to be revised to adapt to the new medical environment.

[0035] Preferably, the setting rules of the behavior evaluation correction factors corresponding to each applicant are as follows: if the patient visited by an applicant has an aggravated condition, or has an abnormal condition before or after surgery, let ζ i =1, if there is no abnormal situation, let ζ i =0.2.

[0036] The behavior evaluation index of each applicant is compared with the preset behavior evaluation index threshold. If the behavior evaluation index of an applicant is less than the behavior evaluation index threshold, it is determined that the applicant is not allowed to visit. Otherwise, it is determined that the applicant is allowed to visit.

[0037] It should be noted that the evaluation index threshold is set based on the fact that the hospital's remote visitation equipment, network resources, etc. are limited. In order to ensure the rational allocation and efficient use of resources, the evaluation index threshold needs to be set according to the carrying capacity of resources. If resources are tight, the threshold can be set relatively high to screen out applicants who are most in need of visiting; if resources are relatively abundant, the threshold can be appropriately lowered to allow more people to enjoy the convenience of remote visits.

[0038] Exemplarily, the evaluation index threshold is 0.3.

[0039] The behavior evaluation index corresponding to each applicant allowed to visit is extracted, and then sorted in order from large to small to obtain a sorting result, and the obtained sorting result is used as the visitation priority ranking.

[0040] For example, the behavior evaluation indexes of applicants 1, 2, and 3 are 0.85, 0.9, and 0.65, respectively, and the visiting priority ranking is applicant 2, applicant 1, and applicant 3.

[0041] It should be noted that the present invention analyzes the remote visitation priority of applicants during the VR remote visitation management process, and sorts the visits based on the analysis results. This analysis method can ensure that patients get visiting opportunities when they need them most, thereby alleviating their anxiety and worries, improving the satisfaction and trust of patients and their families, and ensuring that limited visiting resources are more reasonably allocated. For visitation requests with higher priorities, the system can respond and arrange them quickly, thereby improving the overall visitation efficiency.

[0042] See also Figure 2 As shown, the display function quality analysis module is used to record each VR remote visiting device as a visiting device, perform several display function quality tests on each visiting device, obtain the display function quality data of each visiting device in each display function quality test, and analyze the display function quality of each visiting device.

[0043] In a preferred embodiment of the present invention, the display function quality data includes resolution, viewing angle and contrast.

[0044] It should be noted that the reasons for selecting resolution, field of view and contrast as display function quality data are as follows: 1. Resolution directly determines the clarity of the display screen. In remote visits, clear images allow visitors to more accurately observe the patient's condition, including facial expressions, body details, etc. High resolution can reduce the blur and graininess of the image, allowing visitors to have a more realistic visual experience and better understand the patient's condition and needs. 2. A larger field of view can provide a wider field of view, making visitors feel more immersive. In remote visits, the size of the field of view directly affects the visitor's perception of the patient's environment. 3. Contrast determines the degree of difference between the bright and dark parts of the image. High-contrast displays can make images more vivid and lively, and enhance the saturation and layering of colors. In remote visits, high-contrast images allow visitors to see the patient's skin color, eyes and other details more clearly, improving the quality and readability of the image.

[0045] It should be noted that the resolution, field of view and contrast can be read from the system settings of each visitation device or the menu about the device.

[0046] In a preferred embodiment of the present invention, the specific steps of analyzing the display function quality of each viewing device are as follows: extracting the resolution, field of view and contrast of each viewing device corresponding to each display function quality test, and then analyzing and obtaining the display function quality compliance and display function quality fluctuation of each viewing device, which are respectively recorded as DQcd k ,DQfd k , where k represents the number of the visiting device, k=1, 2...a, and a represents the number of the visiting devices.

[0047] Substitute the display function quality compliance and display function quality fluctuation of each visitation device into the analysis formula The display function quality index DQi of each visiting device is obtained by analysis k , where α1 and α2 represent the influencing weight factors of the preset display function quality compliance and display function quality fluctuation, respectively.

[0048] It should be noted that the weight factors affecting the display function quality compliance and the display function quality fluctuation are set based on the following: 1. If the user has high requirements for the stability and accuracy of the display function quality, the weight factor of the display function quality compliance should be set relatively high. For example, in medical remote visits, doctors and family members need to clearly and accurately observe the changes in the patient's condition. At this time, the display function quality compliance is very important to them. 2. If the remote visit system needs to maintain a high degree of stability, the weight factor of the display function quality fluctuation should be set relatively high. For example, in some critical medical applications, the stability of the system is crucial to the patient's life safety. At this time, it is necessary to reduce the fluctuation of the display function quality as much as possible to ensure that doctors can accurately observe the changes in the patient's condition.

[0049] Exemplarily, α1=0.6, α2=0.4.

[0050] In a preferred embodiment of the present invention, the specific steps of analyzing and obtaining the display function quality compliance and display function quality fluctuation of each viewing device are as follows: extract the resolution, field of view and contrast of each viewing device for each display function quality test, which are respectively recorded as res kl 、vf kl 、con kl , where l represents the number of the display function quality test, l=1, 2...b, and b represents the number of the display function quality test.

[0051] Substitute the resolution, field of view and contrast of each viewing device into the formula for each display function quality test Analyze and obtain the display function quality compliance DQcd of each visitation device k , where res0 represents a preset reference resolution, vf0 represents a preset reference field of view, con0 represents a preset reference contrast, Δres represents the allowable difference between the preset resolution of the viewing device and the reference resolution, and Δcon represents the allowable difference between the preset contrast of the viewing device and the reference contrast.

[0052] It should be noted that the reference resolution, reference field of view and reference contrast are set based on the following: 1. Consider the performance characteristics of the display device used. Different display devices have different resolution capabilities. When setting the reference resolution, ensure that it can be well presented on existing devices to avoid excessively high resolution causing the device to not display properly or performance degradation. 2. Determine the reference field of view according to the size of the remote visitation space. If the visitation space is small, a larger field of view may cause image deformation or too much information to be difficult to focus; if the visitation space is large, a smaller field of view may not be able to fully display the required scene. 3. Different display devices also differ in contrast performance. When setting the reference contrast, consider the contrast range and performance characteristics of the device used to ensure that a good contrast effect can be achieved on the device.

[0053] Substitute the resolution, field of view and contrast of each viewing device into each display function quality test The display function quality fluctuation DQfd of each visitation device was obtained by analysis k , where Δvf represents the preset allowable field of view angle deviation.

[0054] The transmission function quality analysis module is used to perform several transmission function quality tests on each visiting device, obtain the transmission function quality data of each visiting device in each transmission function quality test, and analyze the transmission function quality of each visiting device.

[0055] In a preferred embodiment of the present invention, the transmission function quality data includes delay and packet loss rate.

[0056] It should be noted that the reasons for choosing latency and packet loss rate as transmission function quality data are: 1. Real-time interaction is crucial in remote visits. Whether it is communication between family members and patients or remote diagnosis of patients by doctors, low-latency transmission is required to ensure that both parties can respond in time. High latency will lead to unsmooth conversations, affecting the effect of visits and the timeliness of medical decisions. 2. The remote visitation system needs to transmit data such as images and sounds. If the packet loss rate is too high, the data will be incomplete, affecting the quality of images and sounds. For example, the image may appear mosaic, blurred, etc., and the sound may be intermittent, seriously affecting the visiting experience.

[0057] It should be noted that the delay and packet loss rate can be obtained through professional network testing software.

[0058] In a preferred embodiment of the present invention, the specific steps of analyzing the transmission function quality of each visiting device and constructing a transmission function quality index for each visiting device are as follows: extracting the delay and packet loss rate of each visiting device in each transmission function quality test, calculating the mean of the delay of each visiting device in each transmission function quality test to obtain the average delay of each visiting device, and then calculating the difference with the pre-set reference delay to obtain the average delay deviation of each visiting device, and calculating the ratio of the average delay deviation of each visiting device to the reference delay to obtain the average delay abnormality of each visiting device.

[0059] The packet loss rate of each visiting device in each transmission function quality test is averaged to obtain the average packet loss rate of each visiting device, and then the difference is calculated with the preset reference packet loss rate to obtain the average packet loss rate deviation of each visiting device. The average packet loss rate deviation of each visiting device is calculated by ratio with the reference packet loss rate to obtain the average packet loss rate abnormality of each visiting device.

[0060] The transmission function quality index of each visiting device is obtained based on the average delay abnormality and the average packet loss rate abnormality of each visiting device.

[0061] It should be added that the specific steps of obtaining the transmission function quality index of each visitation device are as follows: Using the formula CQi k =β1*del k +β2*plr k The transmission function quality index CQi of each visiting device is obtained by analysis k , where del k Indicates the average delay abnormality of each visiting device, plr k represents the average packet loss rate abnormality of each visiting device, β1 and β2 represent the influence weight factors of the average delay abnormality and the average packet loss rate abnormality respectively, β1+β2=1.

[0062] The equipment maintenance requirement judgment module is used to judge whether equipment maintenance is needed based on the display function quality and transmission function quality of each visiting device, record the visiting device that is judged to need equipment maintenance as an abnormal visiting device and identify the abnormal direction of the abnormal visiting device.

[0063] In a preferred embodiment of the present invention, the specific steps of determining whether equipment maintenance is required are as follows: extracting the display function quality index and transmission function quality index of each visiting device, and then summing them up according to the weight to obtain the operation quality index of each visiting device.

[0064] It should be noted that the weights of the display function quality index and the transmission function quality index of each visiting device are set based on the following: In medical remote visits, it is crucial to accurately observe the patient's condition. At this time, the display function quality may require a higher weight, because clear images, appropriate contrast and field of view can help doctors and family members better understand the patient's condition. The transmission function quality cannot be ignored either. Low latency and low packet loss rate can ensure that doctors can make diagnoses and decisions in a timely manner. Exemplarily, the weights corresponding to the display function quality index and the transmission function quality index of the visiting device are 0.65 and 0.35, respectively.

[0065] The operation quality index of each visiting device is compared with the preset operation quality index threshold. If the operation quality index of a visiting device is less than the operation quality index threshold, it is judged that the visiting device needs equipment maintenance. If the operation quality index of a visiting device is greater than or equal to the operation quality index threshold, it is judged that the visiting device does not need equipment maintenance.

[0066] Exemplarily, the operation quality index threshold is 0.8.

[0067] It should be noted that the present invention analyzes the display function quality and transmission function quality of the remote visitation equipment during the VR remote visitation management process, and then determines the equipment maintenance needs. This analysis method can predict and prevent the occurrence of equipment failures through regular or real-time functional quality analysis. Once a potential problem is found, timely measures can be taken to repair or replace it to avoid equipment failure at a critical moment, which affects the normal progress of visiting activities. A reasonable maintenance plan can be formulated based on the functional quality analysis results of the equipment. Targeted maintenance and care for weak links in the display and transmission functions can effectively extend the service life of the equipment and reduce replacement costs.

[0068] See also Figure 3 As shown, in a preferred embodiment of the present invention, the specific steps of identifying the abnormal direction of the abnormal visiting device are as follows: extracting the display function quality index and transmission function quality index of each abnormal visiting device, and comparing them with the preset display function quality index threshold and transmission function quality index threshold respectively.

[0069] Exemplarily, the display function quality index threshold is 0.85, and the transmission function quality index threshold is 0.75.

[0070] If the display function quality index of a certain abnormal visiting device is less than the display function quality index threshold, it is determined that the abnormal direction of the abnormal visiting device is a display function abnormality.

[0071] If the transmission function quality index of a certain abnormal visiting device is less than the transmission function quality index threshold, it is determined that the abnormal direction of the abnormal visiting device is a transmission function abnormality.

[0072] It should be noted that the abnormal indication of the abnormal visiting device may be one or both of abnormal display function and abnormal transmission function.

[0073] The data repository is used to store historical usage records.

[0074] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A VR remote visiting system, characterized in that: include: The personnel historical behavior analysis module is used to obtain the historical behavior data of each applicant based on historical usage records and analyze the historical behavior evaluation of each applicant; The visitation priority analysis module is used to sort the visitation priorities based on the historical behavior evaluation of each applicant, and then perform the visitation operation; The display function quality analysis module is used to record each VR remote visiting device as a visiting device, perform several display function quality tests on each visiting device, obtain the display function quality data of each visiting device in each display function quality test, and analyze the display function quality of each visiting device; The transmission function quality analysis module is used to perform several transmission function quality tests on each visiting device, obtain the transmission function quality data of each visiting device in each transmission function quality test, and analyze the transmission function quality of each visiting device; The equipment maintenance demand judgment module is used to judge whether equipment maintenance is needed based on the display function quality and transmission function quality of each visitation device, record the visitation device that is judged to need equipment maintenance as an abnormal visitation device and identify the abnormal direction of the abnormal visitation device; Data repository for storing historical usage records.

2. A VR remote viewing system as claimed in claim 1, characterized in that: The historical behavior data includes usage frequency, interval duration, visitation time compliance index, and frequency of historical behavior violation records; The display function quality data includes resolution, field of view and contrast; The transmission function quality data includes delay and packet loss rate.

3. A VR remote viewing system as claimed in claim 2, characterized in that: The analysis of the historical behavior evaluation of each applicant requires the construction of a historical behavior evaluation index for each applicant, and the specific steps are as follows: Extract the usage frequency, interval duration, visitation time compliance index, and historical behavior violation record frequency of each applicant, and record them as f i ,t i ,θ i , X i , where i represents the applicant's number, i=1, 2...m, and m represents the number of applicants; Using the formula Analyze and obtain the historical behavior evaluation index HBei of each applicant i , where f0 represents the preset reference usage frequency, t0 represents the preset reference interval duration, and X0 represents the preset reference historical behavior violation record frequency.

4. A VR remote viewing system as claimed in claim 3, characterized in that: The analysis steps of the visiting time compliance index are as follows: Extract the historical usage records stored in the data repository, and obtain the application usage duration, actual usage duration, application start time and actual start time corresponding to each historical usage record of each applicant, which are recorded as auD ij ,uD ij , asut ij 、sut ij , where j represents the historical usage record number, j=1, 2...n, and n represents the number of historical usage records; Using the formula The visit time compliance index θ of each applicant is obtained by analysis i , where Δt0 represents the permitted difference between the preset application start time and the actual start time of use.

5. A VR remote viewing system as claimed in claim 3, characterized in that: The specific steps for sorting visitation priorities are as follows: Extract the historical behavior evaluation index HBei of each applicant i , using the formula Bei i =HBei i *(1+ζ i ) analysis to obtain the behavioral evaluation index of each applicant i , where ζ i Indicates the behavior evaluation correction factor corresponding to each applicant; Compare the behavior evaluation index of each applicant with a preset behavior evaluation index threshold. If the behavior evaluation index of an applicant is less than the behavior evaluation index threshold, it is determined that the applicant is not allowed to visit. Otherwise, it is determined that the applicant is allowed to visit. The behavior evaluation index corresponding to each applicant allowed to visit is extracted, and then sorted in order from large to small to obtain a sorting result, and the obtained sorting result is used as the visitation priority ranking.

6. A VR remote viewing system as claimed in claim 2, characterized in that: The specific steps of analyzing the display function quality of each visitation device are as follows: The resolution, field of view and contrast of each viewing device corresponding to each display function quality test are extracted, and then the display function quality compliance and display function quality fluctuation of each viewing device are analyzed and recorded as DQcd k ,DQfd k , where k represents the number of the visiting device, k=1, 2...a, a represents the number of the visiting devices; Substitute the display function quality compliance and display function quality fluctuation of each visitation device into the analysis formula The display function quality index DQi of each visiting device is obtained by analysis k , where α1 and α2 represent the influencing weight factors of the preset display function quality compliance and display function quality fluctuation, respectively.

7. A VR remote viewing system as claimed in claim 6, characterized in that: The specific steps of analyzing and obtaining the display function quality compliance and display function quality fluctuation of each visitation device are as follows: Extract the resolution, field of view and contrast of each viewing device for each display function quality test, which are recorded as res kl 、vf kl 、con kl , where l represents the number of the display function quality test, l=1, 2...b, b represents the number of the display function quality test; Substitute the resolution, field of view and contrast of each viewing device into the formula for each display function quality test Analyze and obtain the display function quality compliance DQcd of each visitation device k , where res0 represents a preset reference resolution, vf0 represents a preset reference field of view, con0 represents a preset reference contrast, Δres represents a permissible difference between a preset resolution of the viewing device and the reference resolution, and Δcon represents a permissible difference between a preset contrast of the viewing device and the reference contrast; Substitute the resolution, field of view and contrast of each viewing device into each display function quality test The display function quality fluctuation DQfd of each visitation device was obtained by analysis k , where Δvf represents the preset allowable field of view angle deviation.

8. A VR remote viewing system as claimed in claim 6, characterized in that: The specific steps of analyzing the transmission function quality of each visitation device and constructing the transmission function quality index of each visitation device are as follows: Extract the delay and packet loss rate of each visiting device in each transmission function quality test, calculate the average delay of each visiting device in each transmission function quality test, and then calculate the difference with the preset reference delay to obtain the average delay deviation of each visiting device, and calculate the ratio of the average delay deviation of each visiting device to the reference delay to obtain the average delay abnormality of each visiting device; The packet loss rate of each visiting device in each transmission function quality test is averaged to obtain the average packet loss rate of each visiting device, and then the difference is calculated with the preset reference packet loss rate to obtain the average packet loss rate deviation of each visiting device, and the average packet loss rate deviation of each visiting device is calculated by ratio with the reference packet loss rate to obtain the average packet loss rate abnormality of each visiting device; The transmission function quality index of each visiting device is obtained based on the average delay abnormality and the average packet loss rate abnormality of each visiting device.

9. A VR remote viewing system as claimed in claim 8, characterized in that: The specific steps for determining whether equipment maintenance is required are as follows: Extract the display function quality index and transmission function quality index of each visitation device, and then sum them up according to the weight to obtain the operation quality index of each visitation device; The operation quality index of each visiting device is compared with the preset operation quality index threshold. If the operation quality index of a visiting device is less than the operation quality index threshold, it is judged that the visiting device needs equipment maintenance. If the operation quality index of a visiting device is greater than or equal to the operation quality index threshold, it is judged that the visiting device does not need equipment maintenance.

10. A VR remote viewing system as claimed in claim 9, characterized in that: The specific steps of identifying the abnormal orientation of the abnormal visiting device are as follows: Extracting the display function quality index and the transmission function quality index of each abnormal visitation device, and comparing them with the preset display function quality index threshold and the transmission function quality index threshold respectively; If the display function quality index of a certain abnormal visitation device is less than the display function quality index threshold, it is determined that the abnormal direction of the abnormal visitation device is a display function abnormality; If the transmission function quality index of a certain abnormal visiting device is less than the transmission function quality index threshold, it is determined that the abnormal direction of the abnormal visiting device is a transmission function abnormality.

Images