359 results about "Visual appliances" patented technology

The invention discloses an equipment access control method and system based on a security sandbox, which adopts an advanced virtualization technology, constructs a highly isolated operation environment, combines technologies such as deep packet inspection, system call interception and process operation logic analysis, comprehensively monitors access behaviors of processes in the sandbox to virtual equipment, and improves the access performance of the virtual equipment. And the security and credibility of the equipment are evaluated, and illegal processes are prevented from running on the access terminal, so that the security access control of the equipment is realized. The monitoring comprises data packet content, protocol filtering, threat detection, system call interception, process creation, execution and termination behavior monitoring and the like. In combination with a trust evaluation algorithm, behavior data features are collected and extracted, trust scoring is performed by applying a machine learning model, and the equipment trust level and the access strategy are dynamically adjusted according to the score. According to the invention, the access control strategy is managed in a unified manner and deployed quickly based on the security sandbox management program and the authentication server. After identity authentication of the equipment, real-time monitoring of process dynamic behaviors in the running process of the equipment is added, and the safety of the equipment in the data exchange process is further improved.

The invention discloses a distributed training scheduling and communication optimization method and system of a multi-modal large model on a domestic computing power platform. The method comprises the following steps: virtualizing a heterogeneous computing unit of a preset platform into a virtual device pool, and fusing first-order gradient of a multi-modal sample and Hessian matrix information based on quantitative perception training to generate a sample sensitivity grading atlas; virtual device pool attributes and the sensitivity grading atlas are used as input, an optimal hybrid parallel configuration scheme is automatically generated through a configuration search algorithm, and a parallel combination mode, resource mapping and a high-sensitivity sample scheduling strategy are defined; a distributed training code of an integrated communication optimization strategy is automatically generated according to a configuration scheme, pipeline parallel communication and data parallel gradient synchronization constraint are executed in a topology adjacent equipment subset, and a hierarchical aggregation mechanism is adopted; and dynamically screening a core training set and scheduling a calculation task to complete distributed training. According to the method, efficient cooperative training of the multi-modal large model on the domestic computing power platform is realized.

The invention relates to the technical field of sewage treatment supervision, and discloses a sewage plant supervision system based on digital twinning. The system comprises an operation mirror image generation module which collects data in real time and generates a digital twin mirror image of the sewage treatment facility; the virtual equipment state library construction module is used for extracting key equipment parameters based on the digital twin mirror image and dynamically updating a virtual equipment state library; the strategy optimization module is used for analyzing a sewage flow state and a pollutant migration path and generating a virtual operation strategy optimization parameter set; the abnormal response engine module is used for monitoring abnormal fluctuation of key nodes and generating an abnormal response intervention data set; and the efficiency improvement module is used for optimizing virtual processing path regulation and control parameters and generating a pollutant removal efficiency improvement scheme. According to the system, dynamic monitoring, intelligent optimization and quick response of the whole sewage treatment process are achieved through the digital twinning technology, supervision accuracy and timeliness are improved, and the system adapts to complex and changeable operation conditions.

The invention provides a multi-mode virtual-real fusion interaction method and system, and particularly relates to the technical field of man-machine interaction. According to the method, hand three-dimensional coordinate data are collected through a depth perception camera, voice data are collected through a microphone array, the hand data are input into a gesture recognition model to output operation intention parameters, real-time state data of virtual equipment are obtained according to the operation intention parameters, tactile feedback parameters are generated, and the real-time state data of the virtual equipment are obtained after linear mapping association. And generating a vibration waveform and outputting to the touch execution unit. And meanwhile, analyzing the voice data to obtain a voice instruction, and performing space-time alignment on the voice instruction and the operation intention parameter to generate a virtual-real synchronous control instruction. According to the method, the technical problems of how to realize touch feedback of linkage of gesture operation and the equipment state through a low-cost and low-delay natural interaction mode and how to improve the multi-mode instruction cooperation capability so as to reduce the misoperation rate are solved, and accurate touch feedback of linkage of gesture operation and the virtual equipment state is realized; and the multi-mode instruction cooperation capability is improved, and the misoperation rate is remarkably reduced.

The invention discloses a development machine GPU resource dynamic regulation and control method, a computer device and a medium, and the method comprises the steps: responding to a development machine creation request, creating a user-defined resource object containing development machine configuration information, creating a target Pod in a Kubernetes cluster, determining a to-be-scheduled target GPU node, obtaining the GPU application number of the to-be-scheduled target GPU node, and then determining a target physical GPU, creating a virtual GPU device file on the host, and establishing a soft link between the virtual GPU device file and the target physical GPU; after the creation is completed, starting a development machine container and mounting the virtual GPU equipment file into the container; when it is monitored that the container GPU resource idle information meets the preset idle condition, the soft link is released, and the real GPU state is updated to be idle. According to the method, container mirror images and original K8s deployment logic do not need to be modified, sharing and multiplexing of GPU resources among multi-container development machines are supported, and the GPU resource utilization rate is remarkably increased.

A simulation system may comprise a headset and an equipment. A wireless communication interface of the headset may receive position information from the equipment. The headset may detect a passively-instrumented object represented in a captured image. The headset may detect a wearable device coupled to the passively-instrumented object. The headset may determine position information for the passively-instrumented object. The headset may present an image of virtual equipment corresponding to the equipment in accordance with the position information from the equipment and the position information detected for the passively-instrumented object.

The present disclosure relates to implementing, updating, and managing operation of a client agent on a client device (e.g., computing device, virtual device) in a way that enables isolation of features and functionality while also allowing the client agent to self-heal and intelligently update discrete features thereon. The client agent includes a collection of plugins that are isolated and run in accordance with respective plugin policies. The client agent makes use of device-level, agent-level, and plugin-level health monitors that collectively monitor a health status of discrete components of the client agent in a way that enables the client agent to selectively discontinue scheduling certain plugins without interrupting functionality of other plugins or of the client agent as a whole. Indeed, features described herein enable the client agent to intelligently update and self-heal with respect to individual plugins based on information obtained by the respective health monitors.

The invention provides a power plant equipment fault prediction method and system fusing digital twinning, and relates to the technical field of data processing, and the method comprises the steps: collecting real-time multi-modal time sequence operation data of equipment, and carrying out the preprocessing of the data through an edge calculation node, and obtaining the preprocessed multi-modal time sequence data; according to the preprocessed multi-modal time sequence data, dynamically evolving the running state of the virtual equipment through a multi-physical field coupling model in the digital twin, and carrying out online calibration on rigidity, damping and heat conduction coefficient parameters in the twin model by taking actual measurement data of a physical entity as a benchmark; generating simulation data consistent with the physical entity in a time-frequency domain; time domain, frequency domain and time-frequency domain feature fusion is carried out on simulation data and various fault samples in a historical fault database, and a high-dimensional initial feature set is constructed; the safety and the economic efficiency are improved.

There is provided a configuration entity in a wireless communication network, the configuration entity comprising a receiver, a processor and a transmitter. The receiver is arranged to receive a service requirement for communication of virtual devices within a virtual experience service at the wireless communication network, wherein each virtual device corresponds to a physical device identified by a subscriber identity. The processor is arranged to discover a plurality of candidate digital and physical devices for a given area and based on the received service requirement. The processor is further arranged to derive one or more session requirements from the received service requirement; wherein a session is established between any combination of the plurality of candidate digital and physical devices. The processor is further still arranged to determine a parameter for each session. The transmitter is arranged to transmit the determined parameter to at least one network node.

The invention relates to a packaging method for modeling and production unit combination of digital twin virtual equipment, which realizes modeling of the virtual equipment through an abstract process from top to bottom, and ensures high cohesion packaging of key attributes, states and behaviors of the virtual equipment in combination with an information hiding and uniform interface mechanism. A production unit-level combination and hierarchical packaging framework is further constructed based on the equipment model, and recursive combination and interoperation of multiple layers of modules are realized through unified station-level, production line-level and workshop-level interfaces and scheduling logic; according to the method, the modeling and packaging process of the digital twin virtual equipment is defined, the high cohesion packaging and interface uniformity of the model are highlighted, and cross-level combination and scheduling logic design are supported, so that the consistency and the implementability of the model in the system integration, evolution extension and module multiplexing processes are remarkably improved, and the modeling efficiency of the digital twin virtual equipment is improved. And universal and normalized technical support is provided for hierarchical construction and efficient deployment of virtual equipment in an intelligent manufacturing system.

The invention discloses a server system based on a public cloud technology and an access method thereof, and belongs to the technical field of cloud services. The server system comprises a server and an external device inserted in the server. A virtual machine manager in the server is used for providing a virtual external device and a virtual memory for a virtual machine in the server, the virtual external device is obtained through device simulation based on the external device, and the virtual memory is obtained through device simulation based on a memory configured for the external device. The virtual device driver of the virtual external device is used for sending an access request carrying the target GPA to the external device when the virtual external device accesses the target GPA of the virtual memory. And the external device is used for obtaining a target host physical address corresponding to the target client physical address based on the access request, obtaining target data recorded by the target host physical address, and sending the target data to the virtual device driver. According to the invention, the address translation performance of the server system is effectively improved.

The invention discloses a virtual interaction system for realizing multi-dimensional perception, which relates to the technical field of virtual interaction, and comprises a man-machine interaction unit, a mapping matching unit, a data processing unit and a data processing unit, and the coordinate matching module is responsible for establishing a coordinate matching relation of the virtual object in the virtual space according to the size, shape and attitude parameters of the virtual object. The interaction device is operated to control the intelligent mark point in the virtual interaction system to interact with the target object, according to the position relation in the interaction process, the position posture of the interaction object is collected to determine whether contact occurs, event triggering and target interaction are achieved through the triggering control unit, a user senses the event, and the interaction efficiency is improved. Interaction requirements can be met, multi-target interaction control requirements are met, and the purpose of saving system resources is achieved.

The invention provides a model training recovery method and electronic equipment, and the method comprises the steps: obtaining task processes of executing a large model training task by a plurality of pieces of processing equipment and equipment information of the plurality of pieces of processing equipment in response to a failure of first processing equipment in the plurality of pieces of processing equipment; based on the task process and the device information, updating a first communication topological relation of the plurality of processing devices to obtain a second communication topological relation; the communication topological relation represents a communication connection mode between the virtual devices corresponding to the processing devices; and sending the second communication topological relation to the processing equipment which does not have the fault.

The invention discloses a power distribution automation control method and device based on virtual bus communication, and relates to the technical field of power distribution automation, and the method comprises the steps: registering a physical communication interface to a drive chain table, and achieving the standardized operation of the physical interface through a drive layer; configuring a physical communication interface as a virtual communication interface, registering the virtual communication interface to a virtual bus linked list, and realizing unified scheduling and data interaction of multiple interfaces through a virtual bus layer; physical communication equipment is configured as virtual communication equipment, the virtual communication equipment is registered to a virtual equipment linked list, and equipment function mapping and protocol adaptation are completed through a virtual equipment layer; registering a physical equipment instance to an equipment instance linked list, and realizing data transceiving and control instruction execution through an equipment instance layer; based on a virtual bus architecture, different communication protocols and transmission modes are dynamically matched so as to communicate heterogeneous equipment. According to the application, diversified field application requirements can be met, and the communication configuration efficiency between the power distribution automation terminal and the external equipment is improved.

The invention discloses a method for communication between jailhome partitions. The method comprises the following steps: configuring a jailhome cell configuration file according to hardware platform resources and task requirements in a cell; compiling and operating jailhouse, starting an inmate cell, and completing registration of a destination port and a source port and memory mapping of an FIFO annular buffer area; sending data to the virtual PCI device through a source port, filling in a Doorbell register after data sending is completed, and sending an interrupt signal to a destination port through a Hypervisor; reading data from the virtual PCI device through the destination port; and after the application program of the destination port receives the data, executing the predefined task. According to the method, the controllability, verifiability and adaptation flexibility of communication behaviors are enhanced, and the method is suitable for safety key scenes with strict requirements for high-frequency, small-data-volume, low-delay and deterministic communication.

The invention discloses a method and system for adapting an industrial intelligent gateway to multiple industrial protocols, and relates to the technical field of industrial Internet of Things edge computing, and the method comprises the steps: monitoring industrial network traffic self-learning, and constructing a protocol fingerprint database; dynamically constructing a virtual equipment twinborn body based on the fingerprint database to form a simulation environment; automatically verifying protocol configuration in a simulation environment; the application verification configuration is connected with the entity device to collect data; performing in-stream calculation processing on the data stream in real time to generate an advanced event and feature data; according to the method, automatic identification and compatibility of unknown protocols are realized, production accidents are avoided through virtual simulation verification, data value extraction is synchronously completed in the data acquisition process, and the security, reliability and data processing efficiency of protocol adaptation are effectively improved.

The invention belongs to the technical field of medical training, and particularly relates to a method and a system for constructing a virtual operating room resource library for reappearing an offshore operation scene, and the method comprises the following steps: 1, collecting offshore medical data and scene demands: collecting an offshore environment and medical data, and determining medical care core capability demands; in the application, coupling parameters generated by a sea condition dynamic sensing module drive a mixed reality scene rendering module to present real shake and environment change; meanwhile, parameters are synchronously input to the equipment modeling module, fault response of virtual equipment is triggered, a user operates the virtual equipment through the interaction module and executes an operation on a virtual human body model, and the resource library management module guarantees reusability and updatability of resources in the whole process. Through real-time data linkage among the modules, total-factor dynamic coupling of sea conditions, scenes, equipment and operation objects is finally realized, and the problem of simulation distortion of a traditional system is solved.

The invention relates to the technical field of medical training, and discloses a sputum suction operation training method and system based on a virtual reality technology. The method comprises the steps that historical operation records of a trainee are collected, key operation nodes are extracted, and an airway state model of a virtual patient is constructed based on the nodes; secondly, setting a virtual sputum suction equipment model, performing a multi-working-condition simulation test on the virtual sputum suction equipment model to obtain operation response characteristics, and mapping the equipment model into the virtual airway state model; then calculating a secretion distribution parameter of a virtual airway in a training period and a theoretical clearance load of virtual equipment, and combining operation response characteristics to obtain an operation intensity parameter; generating an operation triggering instruction sequence based on the operation intensity parameter, and performing staged operation control on the virtual equipment according to the sequence; and finally, carrying out quantitative evaluation on the operation effect of the virtual equipment in the virtual airway. According to the method, a targeted virtual training scene can be constructed, a real operation response is restored, and accurate tracking and effect quantitative evaluation of the operation process are realized.

The present invention belongs to the field of virtual character generation and relates to interactive testing technology, which is used to solve the problem that the existing technology cannot generate virtual characters for simulation training. Specifically, it is a virtual character interaction design generation method based on multimodal perception, including a character generation sub-method and a test optimization sub-method; the character generation sub-method includes the following steps: "Virtual image setting conception": setting basic parameters of the virtual character, the basic parameters include image style, category, positioning and basic information, the basic information includes gender, age, appearance characteristics and personality characteristics, realizing first-person perspective roaming and device interactive operation, allowing users to operate virtual devices; the present invention can simulate gas stations, oil depots and other depot scenes, and can also develop emergency accident scenes for simulation training. At the same time, it combines key technologies such as 3D modeling and emergency simulation to ensure training effects.

The invention provides a virtual equipment and variable data processing method for power monitoring, which realizes intelligent definition, calculation, alarm and visual data binding technology of virtual equipment and variables in a power monitoring scene by integrating MQTT, a memory database, a time sequence database and a relational database and combining a regular expression analyzer collaborative analysis mechanism. The system supports various data such as current real-time values, equipment attributes, accumulated value differences and historical data to form an expression, the real-time data is stored in a Redis database and the historical data is stored in a TD engine database by adopting an atomic storage strategy taking station + deviceid + measure as key values, and efficient query and atomic storage combination based on the Redis and the TD engine are realized through a unified API interface, so that the data display speed is greatly increased, and the data display efficiency is improved. The innovatively designed zero-code binding mechanism is based on a front-end data driving framework, and automatic binding of real-time acquisition variables, virtual variables and power monitoring display components can be completed without additionally developing an API (Application Program Interface).

The invention discloses a building intelligent energy consumption management system based on a BIM technology, and relates to the technical field of building energy consumption, and the system comprises a BIM virtual identifier generation module, an equipment positioning calibration module, a component energy consumption database module, a transformation simulation engine module, and a transformation verification feedback module. A full-link association mechanism with a virtual device identifier (VID) as a core is constructed, a unique digital identity is given to each device through a BIM virtual identifier generation module, dynamic binding of physical devices and a BIM model is achieved in combination with a multi-source positioning technology of a device positioning calibration module, the mechanism breaks through a static matching mode, and the dynamic binding of the physical devices and the BIM model is achieved. According to the method, the continuity of data association can still be kept under the scene of newly adding, shifting and transforming the equipment, so that the energy consumption data and the equipment entity form an inseparable corresponding relation, technical support is provided for component-level tracing of building energy consumption, and the long-standing problems of data islands and association failure are fundamentally solved.

Embodiments of the present invention relate to the technical field of computer graphics, and disclose a method, device, electronic device, and storage medium for image processing. The method for image processing in the present invention includes: sending the initial pose data of the terminal at the initial moment to the server, where the initial moment is a moment before the current moment; receiving the initial image data returned by the server according to the initial pose data, and the initial image data includes two-dimensional image data corresponding to the initial pose data; obtaining the target pose data of the terminal at the current moment; and adjusting the two-dimensional image data according to the initial pose data and the target pose data to obtain the target image data corresponding to the current moment. By adopting the embodiments of the present application, it is possible to avoid the problem that the virtual reality terminal cannot display an image corresponding to the terminal pose within the refresh period due to network delay, and at the same time reduce the hardware requirements of the virtual device.

The present invention provides a system for adding offline infrared devices based on a smart home gateway. The system includes a cloud server, a smart home gateway, an infrared transponder, a mobile app, and a smart home gateway webpage. The cloud server is used to store an infrared code library and the brands and models of infrared devices. The smart home gateway serves as an offline storage medium for the infrared code library and is signal-connected to the infrared transponder. The infrared transponder is used to receive and transmit infrared data / signals. The mobile app and the smart home gateway webpage are signal-connected to the cloud server and the smart home gateway. The system uses the smart home gateway as the offline infrared code library storage medium, the infrared transponder as a bus device, and added infrared devices such as air conditioners and televisions as virtual devices. Controlling the virtual devices through terminals such as the mobile app and the smart home gateway webpage effectively controls the actual infrared devices.

This application discloses a testing method, system, storage medium, and electronic device based on voiceprint recognition, relating to the field of voiceprint recognition technology. The testing method includes: acquiring a preset audio file; sending target audio data from the audio file to a voiceprint recognition interface and receiving voiceprint features and user intent returned via the voiceprint recognition interface; sending the voiceprint features and user intent to a device execution interface to generate a device execution command; sending the device execution command to a corresponding virtual device and receiving the execution result returned by the virtual device based on the device execution command; and comparing the voiceprint features and execution result with the expected execution value to generate a test report. The embodiments provided by this invention not only greatly improve the testing efficiency of voiceprint recognition applications but also automatically generate test reports, facilitating intuitive analysis of errors during the application process, thereby significantly improving the accuracy of the recognition application.

The invention discloses a multi-modal data fusion and intelligent analysis method and system for advanced early warning of wind and light storage equipment, and the method comprises the steps: deploying data collection equipment, synchronizing the data collection equipment to a virtual equipment model through a digital twin interface, and generating a physical enhancement feature; recombining the physical enhancement features into a three-dimensional feature tensor; orthogonal constraint tensor decomposition is carried out on the three-dimensional tensor, and cross-scale fault features are extracted; constructing a fault propagation graph network FPGN based on the core tensor, and outputting an early warning decision through graph convolution and Transform coding; according to the early warning deviation, a gradient descent method is adopted to adjust the physical constraint weight, and the model is retrained; the three-dimensional feature tensor recombination realizes unified characterization of multi-modal data, orthogonal constraint tensor decomposition forces different dimension features to be independent, a cross-scale coupling mode of a fault is extracted, and the effects of dimension reduction and efficiency improvement are achieved; according to the FPGA network, graph convolution and Transform time sequence coding are fused, and the propagation intensity of modeling faults in an equipment topology network is realized, so that early warning from local anomalies to system-level risks is realized.

The invention relates to the technical field of Internet data processing, and discloses a cross-border platform data acquisition method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining corresponding hardware feature statistical information and network feature statistical information according to the geographic position of a target platform when an equipment fingerprint updating condition is satisfied; generating hardware feature parameters based on the hardware feature statistical information and creating a virtual device; generating network feature parameters based on the network feature statistical information and configuring network parameters for the virtual device; jointly inputting the platform user behavior data set and hardware network parameters into a pre-training large language model to generate an anthropomorphic user interaction sequence; and controlling the virtual device to execute the interaction sequence to realize data acquisition of the target platform. According to the method, the identity recognition and behavior detection probability of a traditional crawler can be effectively reduced, and the success rate and efficiency of cross-border platform data acquisition are remarkably improved.

The invention relates to the technical field of vocational education training systems and methods, in particular to a post practical training cultivation system and method based on AR virtual vision, which adopts AR virtual reality, creatively adopts a dynamic environment binding technology, and scans practical training scenes such as laboratories and factory stations in real time through an RGB-D camera. A 3D environment point cloud map is constructed by adopting an SLAM algorithm, virtual equipment is automatically aligned with a real desktop coordinate system, the virtual equipment can be placed on a real desktop and is constrained by a physical shielding relation, for example, a shielded part is automatically hidden when a hand passes through the virtual equipment, and compared with a traditional AR projection technology, the method is more real, the substitution sense and the training sense are stronger, and the method is more suitable for popularization and application. The training of the trainees is further effective, and the post adaptation period is shorter; a multi-modal operation evaluation mechanism is adopted, an operation track is dynamically compared with a standard path, and a deviation thermodynamic diagram is generated in real time; the decomposition operation steps comprise three stages of preparation, execution and verification, scoring is carried out respectively, and training scoring is further realized.

Embodiments of the present disclosure provide a storage device control method and apparatus, an electronic device, and a storage medium. The method includes: obtaining virtualization mapping information of a target physical device by accessing an extended base address register space, where the virtualization mapping information is used to implement a pass-through connection between a virtual machine client and the target physical device, and the target physical device is a storage device that is mounted on a virtual machine host corresponding to the virtual machine client; and operating, based on the virtualization mapping information, the target physical device in response to a first operation request for a target virtual device, to obtain an operation result, where the target virtual device is a virtualization device corresponding to the target physical device and created in the virtual machine client.

A cyber security system includes an importance node module to compute and use graphs to compute an importance of a node based on factors including a hierarchy and a job title of the user, aggregated account privileges from network domains and a level of shared resource access for the user. The graphs are supplied into an attack path modeling component to understand an importance of the network nodes and determine key pathways within the network that a cyber-attack would use, via a modeling the cyber-attack on a simulated and a virtual device version of the network. The cyber security system provides an intelligent prioritization of remediation action to a remediation suggester module to analyze results of the modeling the cyber-attack for each node and suggest how to perform intelligent prioritization of remediation action on a network node in one of a report and an autonomous remediation action.

The invention relates to the technical field of an internet of things platform and application thereof, and discloses a data service arrangement method, device, equipment and medium based on object model fusion, and the method comprises the steps: fusing the equipment data of different internet of things equipment from object models at parameter granularity, and obtaining fused equipment data; the Internet of Things platform defines a virtual device object model according to the object model of the Internet of Things; determining a corresponding data processing mode based on the fusion equipment data; creating and developing corresponding data service orchestration according to the object model function data, the virtual equipment object model and the configuration information; connecting the plurality of data services according to the logical relationship defined by the business based on a visualization device, and configuring data service nodes; and issuing the configuration result. The system comprises an object model data acquisition module, a virtual equipment object model construction module and a test publishing module. According to the invention, the stability and reliability of the system are improved.