270 results about "Visual appliances" patented technology

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 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 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 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 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.

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.

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.

An approach for allowing autonomous vehicles to follow traffic instructions from a virtual device is provided. The approach includes receiving instructions from virtual devices and identifying the instructions. The approach can further receive data from onboard sensors and determines a path based on the receive data and the instructions. Lastly, the approach can maneuver the vehicles based on the path.

The invention belongs to the technical field of industrial control, and discloses an industrial control virtual equipment resource pool construction method, system, equipment and medium, and the method comprises the steps: optimizing parameters of a transition probability and an observation probability in a time sequence data statistical algorithm according to time sequence characteristics of an industrial control scene, and extracting resource characteristics; generating a virtual resource model, and constructing a bidirectional mapping table of physical resources and virtual resources; optimizing a clustering algorithm by using a time weight factor, dynamically aggregating the time sequence metadata in combination with a streaming computing framework, and performing anomaly detection on a resource state in combination with the aggregated time sequence metadata based on an anomaly detection technology; based on a layered decoupling flattening architecture, a resource pool is divided into a resource layer, a data layer, a link layer, a technical support layer and an interface layer. According to the method, logic-physical layered decoupling of the industrial control resource pool is realized, seamless access and dynamic optimal distribution of multi-protocol equipment are supported, and high-reliability and low-delay bottom support is provided for users.

The application relates to a multifunctional controller based on an SPI bus, which comprises a core control module for packaging an SPI communication protocol frame and a register read-write instruction based on a Linux kernel subsystem; a device class registration module for registering a special device class to manage corresponding special functions through the device class registration module; a first docking module for docking standard functions with the Linux kernel subsystem to drive the standard functions based on an SPI interface and the register read-write instruction; and a second docking module for abstracting non-standard functions into virtual SPI devices and docking the virtual SPI devices with an application layer. Through an innovative modular architecture and a unified management mechanism, the application effectively solves technical problems such as complex development of a multifunctional controller driver, lack of out-of-band management, difficulty in application layer development, and chaotic driver management, and provides an efficient, flexible and easily-extended solution for the development and management of multifunctional SPI peripherals.

The invention discloses a material mixing full-process digital twin simulation system and method and electronic equipment. The system comprises a simulation module which is used for constructing a full-process digital twin model based on physical parameters of physical equipment, material physical characteristics and process logic in a material mixing process; the interactive interface module is used for establishing communication connection between the full-process digital twin model and a target control system so as to realize interaction between a control instruction and a virtual equipment state signal; and the acquisition module is used for acquiring the whole-process configuration parameters, the batching mode and the working mode and providing the parameters to the simulation module for operation. According to the method, the high-fidelity digital twin model is constructed, the virtual-real interaction interface is established, multi-link parameter collaborative debugging of material preparation, material preparation and mixing is supported, the whole-process configuration parameters can be tested at a time, step-by-step debugging is not needed, the debugging time and the debugging cost are remarkably reduced, and the process control precision is improved.

This application discloses a method for detecting virtual devices, an access control method, and a computer device. The detection method determines a second score that characterizes the degree to which a target device conforms to a real device, and uses the second score to reduce a first score that characterizes the probability that the target device belongs to a virtual device to a fusion score. This can reduce false positives on the target device, improve the accuracy of virtual device detection, and enhance the user experience.

The invention discloses a virtual simulation teaching system based on SDH (Synchronous Digital Hierarchy) equipment. The virtual simulation teaching system comprises mixed reality head display equipment, an SDH equipment simulation device and a data service device, the SDH equipment simulation device is used for constructing an SDH equipment simulation model, an optical power meter simulation model and an optical attenuator simulation model; the SDH equipment simulation device is further used for transmitting the SDH equipment simulation model, the optical power meter simulation model and the optical attenuator simulation model to mixed reality head display equipment, and the mixed reality head display equipment is used for displaying a virtual SDH equipment simulation model, a virtual optical power meter simulation model and a virtual optical attenuator simulation model; the data service device is used for providing a video tutorial of an SDH equipment simulation model principle, a video tutorial of alarm processing and a document for the mixed reality head-mounted display equipment; according to the invention, the problem of insufficient precision of the simulation model of the virtual SDH equipment is solved, interaction with the simulation model of the virtual SDH equipment is realized, and the practical operation ability of students is improved.

A device in communication with a first network associated with a building management system (BMS) includes one or more processing circuits configured to receive a virtual device corresponding to one or more physical devices or systems and provide a mapping between the virtual device and the one or more physical devices or systems. The virtual device is configured to represent the one or more physical devices or systems on the first network and one or more data points of the virtual device correspond to one or more data points of the one or more physical devices or systems. The one or more processing circuits are configured to receive data values for the one or more data points of the one or more physical devices or systems and update the one or more data points of the virtual device with the data values for the one or more data points of the one or more physical devices or systems.

Systems and methods for encryption support for virtual machines. An example method may comprise initializing, by a firmware module associated with a virtual machine running on a host computer system, an exclusion range register associated with the virtual machine with a value specifying a first portion of guest memory. The first portion of the guest memory may include an exclusion range marked as reserved. The second portion of the guest memory may b e encrypted using an ephemeral encryption key. Virtual machine firmware may identify, in the second portion of the guest memory, an instruction to a virtual device associated with the virtual machine, copy data corresponding to the instruction to the first portion of guest memory, and alert the hypervisor of the data stored in the first portion of guest memory.

Device virtualization techniques can enable physical I / O devices (such as PCIe devices or other I / O devices) to appear as virtual I / O devices, while also enabling selective exposure of information regarding the physical I / O devices to enable the native drivers of the physical I / O devices to be run. In one example, one or more physical I / O devices associated with a virtual I / O device are locked, and an interface is monitored for requests to those physical I / O devices. The device can be unlocked in response to a request to a predetermined address. When a physical I / O device is locked, read requests to read an identifier of the physical device are blocked, and a value associated with the virtual I / O device is provided. When the physical I / O device is unlocked, read requests to read an identifier of the physical I / O device are forwarded to the physical I / O device.

The embodiment of the invention provides a memory mapping method and device of a QXL display device, equipment and a medium, the method simulates the QXL display device on a virtual machine, the virtual machine is deployed with a mirror image file corresponding to a kernel source code of a Linux system, the kernel source code comprises a driving source code, and the driving source code comprises a first driving source code and a second driving source code. Driving the source code to obtain an initial address and a size of a physical memory area of the QXL display equipment; the method comprises the following steps: for an ARM64 architecture, mapping a physical memory area of a QXL display device to a target virtual address space of a Linux kernel by using an input / output cache remapping interface of the Linux kernel; and the input / output cache remapping interface is used for mapping a physical memory area of the QXL display equipment according to the memory alignment requirement of the ARM64 architecture. According to the embodiment of the invention, additional secondary data copying can be avoided, and the problem of system crash or abnormal behaviors caused by misalignment of the virtual equipment under the ARM64 architecture can be prevented.

This disclosure is directed to methods and systems that establish a secure data channel between a host and a disaggregated hardware device (“DHD”) of a data center. The system comprises an initiator host that runs objects, such as virtual machines and containers. The host includes an initiator smart network interface card (“SNIC”). The initiator SNIC includes a virtual device, a trust platform module (“TPM”) and a security engine. The system also comprises a target host equipped with a DHD and a target SNIC. The target SNIC includes a TPM and a security engine. The TPM and the security engine of the initiator SNIC and the TPM and the security engine of the target SNIC establish a secure data channel between an object running on the host and the DHD.