CN-120315593-B - Safety monitoring method and system for VR flight device

CN120315593BCN 120315593 BCN120315593 BCN 120315593BCN-120315593-B

Abstract

The embodiment of the application provides a safety monitoring method and a safety monitoring system for a VR flight device, wherein the method comprises the steps of firstly acquiring a real-time operation data set of the VR flight device, wherein the real-time operation data set covers environment perception data and equipment state data, then carrying out safety analysis processing on the real-time operation data set to generate a safety state evaluation result, then carrying out dynamic safety strategy matching processing on the basis of the safety state evaluation result to obtain a safety regulation instruction, finally regulating operation parameters of the VR flight device according to the safety regulation instruction, and triggering early warning feedback operation, so that the operation safety of the VR flight device can be comprehensively and dynamically monitored, potential risks can be timely found and effectively regulated, and stable operation and user safety experience of equipment are ensured.

Inventors

WAN RUGUO
QIN HUAJUN
DENG ZHANBO
Qiu Zhuowu

Assignees

上海国威互娱文化科技有限公司
广州国威数字文化科技有限公司
苏州国之威文化科技有限公司
广州盛世国威数字传媒有限公司

Dates

Publication Date: 20260505
Application Date: 20250429

Claims (5)

1. A method of safety monitoring for a VR flight device, the method comprising: Acquiring a real-time operation data set of the VR flight device, wherein the real-time operation data set comprises environment perception data and equipment state data; performing security analysis processing on the real-time operation data set to generate a security state evaluation result; executing dynamic security policy matching processing based on the security state evaluation result to obtain a security regulation instruction; adjusting operation parameters of the VR flight device according to the safety regulation instruction, and triggering early warning feedback operation; Inputting the environmental dynamic characteristics and the equipment operation characteristics into a pre-trained safety evaluation model to generate a comprehensive risk evaluation index, wherein the method comprises the following steps of: performing first standardization processing on the environment dynamic characteristics to obtain standardized environment characteristics; performing second normalization processing on the equipment operation characteristics to obtain normalized equipment characteristics; Inputting the standardized environmental features and the standardized equipment features into a feature interaction layer in the pre-trained safety evaluation model to generate interaction feature vectors; Invoking a risk assessment layer in the security assessment model to perform nonlinear mapping processing on the interaction feature vector, and generating the comprehensive risk assessment index; The risk assessment layer carries out weighted calculation on the interaction feature vector through a multi-layer perception network and outputs the comprehensive risk assessment index, wherein the comprehensive risk assessment index comprises a weighted sum of environment risk contribution and equipment risk contribution; the dynamic comparison processing is performed according to the comprehensive risk assessment index and a preset safety threshold, and the determination of the safety state assessment result comprises the following steps: Acquiring a dynamic safety threshold adjustment coefficient in a current environment scene; performing real-time correction processing on the preset safety threshold according to the dynamic safety threshold adjustment coefficient to generate a dynamic safety threshold; comparing the comprehensive risk assessment index with the dynamic safety threshold; when the comprehensive risk assessment index is larger than the dynamic safety threshold value, a first risk assessment result is generated; Generating a second risk assessment result when the comprehensive risk assessment index is smaller than or equal to the dynamic safety threshold value; Determining the security state evaluation result according to the first risk evaluation result or the second risk evaluation result; Wherein the dynamic security threshold adjustment factor is determined by: calculating an environment complexity parameter according to the obstacle density index and the dynamic change rate index in the environment perception data; calculating equipment stability parameters according to load fluctuation indexes and energy consumption trend indexes in the equipment state data; taking the weighted sum of the environment complexity parameter and the equipment stability parameter as a dynamic safety threshold adjustment coefficient; The step of executing dynamic security policy matching processing based on the security state evaluation result to obtain a security regulation instruction comprises the following steps: When the safety state evaluation result is a first risk evaluation result, invoking a prestored emergency regulation strategy library, and matching a first safety regulation instruction corresponding to the current environment risk level and the equipment operation risk level; When the safety state evaluation result is a second risk evaluation result, invoking a prestored conventional regulation strategy library, and matching a second safety regulation instruction corresponding to the current environment risk level and the equipment operation risk level; Generating the safety regulation instruction according to the first safety regulation instruction or the second safety regulation instruction; the emergency regulation strategy library comprises an equipment emergency speed reduction strategy, an environment obstacle avoidance path adjustment strategy and an energy supply strengthening strategy; The conventional regulation strategy library comprises an equipment operation parameter optimization strategy, an environment monitoring frequency adjustment strategy and an energy consumption balance allocation strategy; The safety regulation instruction comprises a priority parameter for executing the equipment emergency deceleration strategy, a path offset parameter for executing the environment obstacle avoidance path adjustment strategy and an energy allocation proportion parameter for executing the energy supply strengthening strategy; The adjusting the operation parameters of the VR flight device according to the safety regulation instruction comprises: Analyzing priority parameters in the safety regulation instruction, and determining the execution sequence of the equipment control instruction; adjusting the navigation path planning of the VR flight device according to the path offset parameter to generate an updated navigation path; redistributing the energy supply mode of the equipment according to the energy distribution proportion parameters; Synchronizing the execution sequence, the updated navigation path and the redistributed energy supply mode to a control system of the VR flight device to complete operation parameter adjustment; Wherein the navigation path planning adjustment comprises dynamic correction of an obstacle avoidance path and gradient change control of the flying speed; The energy supply mode adjustment comprises switching proportion control of a main energy module and a standby energy module and smooth transition treatment of energy output power; The triggering early warning feedback operation comprises the following steps: generating an early warning grade identifier according to the safety state evaluation result; When the early warning level mark is high-risk early warning, starting multi-level early warning notification processing, wherein the multi-level early warning notification processing comprises the steps of sending an emergency warning signal to a user terminal, displaying dynamic obstacle avoidance prompt information on a VR interface and activating an automatic braking mechanism of equipment; When the early warning level mark is low risk early warning, starting conventional early warning notification processing, including sending state reminding information to a user terminal, displaying parameter optimization suggestion information on a VR interface and recording equipment operation logs; Wherein the emergency alert signal includes a combination of audible alert, vibration feedback, and visual blinking cues; the dynamic obstacle avoidance prompt information marks the position of the obstacle and recommends the avoidance direction in the VR interface through an augmented reality technology; the automatic braking mechanism calculates a braking distance parameter according to the current running speed of the equipment, the distance of the environmental obstacle and the preset braking response time, and gradually reduces the running speed of the equipment to be within a safety threshold value through sectional deceleration control; the sectional deceleration control comprises the steps of dynamically adjusting a braking gradient according to the distance between obstacles, so as to ensure that the speed adjustment is completed within the parameter range of the braking distance; The method further comprises the steps of: after the early warning feedback operation is finished, continuously monitoring a subsequent operation data set of the VR flight device; Performing security state verification processing on the subsequent running data set to generate a verification result; When the verification result indicates that the safety state is not recovered to be normal, iteratively executing the dynamic safety strategy matching processing, and updating the safety regulation instruction; When the verification result indicates that the safety state is recovered to be normal, terminating early warning feedback operation and recovering default operation parameters; Wherein the security state verification process includes: Comparing the adjusted operation parameters with safety reference parameters updated according to the dynamic safety threshold adjustment coefficients; Analyzing whether the distribution change trend of the obstacle in the environment perception data meets the preset dynamic obstacle avoidance requirement; and verifying whether the load fluctuation stability index in the equipment state data is restored to be within a safety threshold range.
2. The VR flight device security monitoring method of claim 1, wherein the performing security analysis on the real-time operational data set to generate a security status assessment result comprises: Extracting environmental dynamic characteristics from the environmental perception data, and extracting equipment operation characteristics from the equipment state data; Inputting the environmental dynamic characteristics and the equipment operation characteristics into a pre-trained safety evaluation model to generate a comprehensive risk evaluation index; And carrying out dynamic comparison processing according to the comprehensive risk assessment index and a preset safety threshold value, and determining the safety state assessment result.
3. The VR utility model of claim 2, wherein said extracting environmental dynamic features from said environmental awareness data comprises: Performing dynamic scene segmentation processing on the environment-aware data to generate a plurality of scene areas; Performing obstacle recognition processing on each scene area to determine obstacle distribution characteristics; The method comprises the steps of carrying out feature calculation according to the barrier distribution features to generate environment dynamic features, wherein the environment dynamic features comprise barrier density features, dynamic change rate features and space distribution uniformity features, the barrier density features are determined by counting the ratio of the number of barriers in each scene area to the area of the scene area, the dynamic change rate features are determined by calculating the change amplitude of barrier distribution in adjacent time windows, the space distribution uniformity features are determined by calculating the position dispersion of the barriers in each scene area, and the dispersion is analyzed by adopting a statistical variance method.
4. The VR flight device safety monitoring method of claim 2, wherein the extracting device operational characteristics from the device status data comprises: performing time sequence segmentation processing on the equipment state data to generate a plurality of equipment operation fragments; Performing operation mode identification processing on each equipment operation segment to determine equipment operation mode characteristics; Calculating equipment load fluctuation indexes and equipment energy consumption trend indexes according to the equipment operation mode characteristics; The equipment load fluctuation index and the equipment energy consumption trend index are subjected to aggregation treatment to generate the equipment operation characteristics; The equipment operation mode features comprise acceleration change features, gesture adjustment frequency features and energy consumption rate features; the acceleration change characteristics are determined through the slope of an acceleration curve of an analysis equipment operation segment; the gesture adjusting frequency characteristic is determined by counting the execution times of gesture adjusting instructions in the equipment operation segment; the energy consumption rate characteristic is determined by calculating a rate of change of the energy consumption amount per unit time.
5. A VR service system comprising a processor and a readable storage medium storing a program that when executed by the processor implements the VR flight device security monitoring method of any one of claims 1-4.

Description

Safety monitoring method and system for VR flight device Technical Field The application relates to the technical field of virtual reality, in particular to a safety monitoring method and system for a VR flight device. Background With the continuous development of Virtual Reality (VR) technology, VR flight apparatuses are widely used in a plurality of fields such as entertainment, education, and training as a device capable of providing users with an immersive flight experience. However, there are a number of drawbacks to the safety monitoring of VR flight devices at present. The existing safety monitoring mode of the VR flight device is usually static, and whether equipment is safe or not is judged by adopting a preset fixed standard. This approach does not allow for dynamic adjustment based on the real-time operating conditions of the VR flight device, resulting in an inability to make effective safety assessments in the face of sudden conditions or subtle changes in the operating state of the device. In addition, existing safety regulation means are limited and lack pertinence when possible safety problems are detected. The alarm is usually simply sent out or the operation of the equipment is stopped, and a personalized regulation and control strategy is not formulated according to specific safety conditions, so that the use experience of a user can be influenced, and the safety of the equipment and the user cannot be guaranteed to the greatest extent. Disclosure of Invention Accordingly, the present application is directed to a safety monitoring method and system for VR flight device. According to a first aspect of the present application, there is provided a safety monitoring method for a VR flight device, applied to a VR service system, the method comprising: Acquiring a real-time operation data set of the VR flight device, wherein the real-time operation data set comprises environment perception data and equipment state data; performing security analysis processing on the real-time operation data set to generate a security state evaluation result; executing dynamic security policy matching processing based on the security state evaluation result to obtain a security regulation instruction; And adjusting the operation parameters of the VR flight device according to the safety regulation instruction, and triggering early warning feedback operation. According to a second aspect of the present application, there is provided a VR service system comprising a processor and a readable storage medium storing a program which when executed by the processor implements the aforementioned VR flight device security monitoring method. According to a third aspect of the present application, there is provided a computer-readable storage medium having stored therein computer-executable instructions for implementing the aforementioned safety monitoring method for VR flight apparatus when it is monitored that the computer-executable instructions are executed. According to any one of the aspects, the embodiment of the application performs safety analysis processing on the real-time operation data set by acquiring the real-time operation data set containing environment perception data and equipment state data and generates the safety state evaluation result, so that potential safety risks behind the data can be deeply mined, accurate evaluation on the operation safety of the VR flight device is realized, dynamic safety strategy matching processing is performed on the basis of the safety state evaluation result to obtain a safety regulation instruction, the most appropriate coping strategies can be flexibly matched according to different safety states, the safety management is more targeted and dynamic adaptive, the operation parameters of the VR flight device are regulated according to the safety regulation instruction and early warning feedback operation is triggered, the response to the potential risks can be timely made, the safety hidden danger in the operation process of the VR flight device is effectively reduced, and the stable operation of the equipment and the safety experience of a user are ensured. Drawings In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. Fig. 1 shows a flow chart of a safety monitoring method for a VR flight device according to an embodiment of the present application; Fig. 2 is a schematic component structure diagram of a VR service system for implementing the above-mentioned VR flight device security monitoring method according to an embodiment of the present app