108 results about "Unified system" patented technology

A unified platform for multi-modal data compression and decompression that enables efficient processing of correlated data streams while preserving relationships between different modalities. The platform employs a virtual management layer to analyze and route input streams, implementing correlation analysis to identify temporal and spatial relationships between streams. Multiple compression methods, including neural network-based approaches, are utilized to compress data sets while maintaining cross-modal dependencies. A neural upsampling system leverages learned correlations between streams to enhance reconstruction quality. The platform includes a synchronization manager that maintains temporal alignment and relationship preservation throughout processing. By integrating correlation-aware compression with neural upsampling techniques, the platform provides comprehensive multi-modal compression capabilities while preserving critical relationships between different data types. The system is particularly suited for applications involving synchronized audio-visual data, sensor streams, and other multi-modal content.

The invention discloses a source network load storage route adjusting method based on an AI control strategy, and relates to the technical field of power system control, and the method comprises the steps: collecting a source side signal, a network side signal, a load side signal, a storage side signal and an exogenous signal, and generating a unified system state of confidence weight and topology embedding; the state is used for digital twinning online calibration, a feasible range and a constraint set are extracted, and a projection operator and guaranteed operation curve set is generated; generating a unified energy routing vector in the feasible range by a hierarchical strategy; performing simulation checking calculation in the digital twinning and compiling into a final instruction and execution plan table; performing closed-loop issuing and receipt checking, and performing event write-back to update guardrails and strategies; the method realizes collaboration, improves on-site consumption of new energy, reduces comprehensive cost, enhances boundary compliance and traceability, is suitable for parks, micro-grids and the like, and is convenient for deployment, operation, maintenance, expansion and upgrading.

The invention discloses an intelligent numerical control machine tool contour error prediction compensation system and a control method thereof, and belongs to the technical field of industrial control and intellectualization, the intelligent numerical control machine tool contour error prediction compensation system comprises a parameter setting module used for setting system parameters and processing parameters of a numerical control machine tool and importing external planning data and configuration files; the online planning module is used for acquiring planning data online; the core control module is used for controlling the executing mechanism to realize multiple motion modes; the data monitoring module is used for dynamically collecting real-time monitoring data in the machining process of the executing mechanism; the neural network prediction module is used for performing tracking error prediction on the plurality of processing single axes based on a neural network model; and the error intelligent control module is used for carrying out iterative optimization on the processing track. Through modular design, all links of numerical control machining are integrated into a unified system, so that the technical problems that a control system of a traditional numerical control machine tool is poor in function expansibility, low in resource utilization rate, high in development threshold, tedious in process and the like are solved.

The invention discloses a video acquisition method and device based on modular low coupling, and relates to the technical field of video processing. The method comprises the following steps: initializing a video processing system, creating a unified system resource management interface, and realizing centralized management of video acquisition, encoding, decoding, OSD control and NPU push modules; based on a modular design principle, video acquisition, coding, decoding, OSD control and NPU push functions are packaged into independent modules, and data interaction between the modules is realized through a standardized interface. The video processing system is modularly designed, and a unified standardized interface is provided, so that the effect of greatly reducing project code coupling is achieved, a developer does not need to pay attention to underlying logic when calling the interface, and module function independence is guaranteed; by means of the modular interface design, developers can rapidly integrate platform functions, development work can be completed without deeply knowing the whole code library, and therefore the project development efficiency is improved.

The invention discloses a task scheduling method for a unified system sky-ground network. The task scheduling method comprises the following steps: constructing a task-oriented communication scene in the unified system sky-ground network; determining a target problem of task scheduling, and modeling the target problem as a Markov decision process; constructing a strategy-value neural network architecture based on multi-agent near-end strategy optimization; and training the constructed strategy-value neural network architecture to obtain a trained strategy-value neural network, interacting with a real environment based on the trained strategy-value neural network, dynamically updating the information age # imgabs0 #, and applying the strategy according to real-time feedback. According to the method, the scheduling efficiency can be effectively improved and the task allocation can be optimized by combining a reinforcement learning framework aiming at network architecture characteristics and time-varying constraints.

The invention relates to the field of power dispatching systems, in particular to a user power consumption behavior prediction and intelligent dispatching system based on a deep learning model, which comprises a multi-source data acquisition and preprocessing module, a deep fusion prediction model and an intelligent dispatching optimization algorithm module, and integrates the modules or models into a unified system platform through a micro-service architecture. The system platform is in real-time butt joint with a power grid monitoring and dispatching center of an electric power company; and the intelligent scheduling optimization algorithm module establishes a multi-objective optimization model by taking load balance of the power system, maximization of power utilization satisfaction of users and minimization of energy consumption as comprehensive optimization objectives. The invention aims to provide a user power consumption behavior prediction and intelligent scheduling system based on a deep learning model, the user power consumption behavior is accurately predicted through innovative model construction and algorithm design, the optimized intelligent scheduling of power resources is realized on the basis, and the overall operation efficiency and the energy utilization efficiency of a power system are improved.

The invention relates to the technical field of computers, in particular to a globalized data compliance configuration method and system, electronic equipment and a program product, and the method comprises the steps: judging whether a data configuration request is received or not; if the data deployment request is received, determining a target deployment area according to the data deployment request, and establishing an initial system of the target deployment area; and docking the initial system with a preset data compliance configuration center to generate a new localization system meeting the deployment requirements of the target deployment region. Therefore, the problems that enterprises of different countries have different data management systems, the differentiation is increased along with time, the operation and maintenance cost is increased and the like are solved, and unified configuration and unified system of platform data compliance of all countries can be realized, so that unified operation is realized.

The invention relates to a coal machine spare part similarity identification and coding unification system and method and a storage medium. The system comprises a data acquisition module for extracting coal machine spare part data from a plurality of systems; the cleaning and preprocessing module is used for carrying out unified formatting processing on the spare part data; the feature extraction and matching engine is used for performing multi-dimensional feature extraction on the preprocessed data, including text similarity features, semantic features, structural features and attribute features; the similarity calculation and clustering module is used for calculating the comprehensive similarity of spare part data through a deep fusion network according to the multi-dimensional features, and performing automatic clustering according to the similarity; and the master data generation and system docking module is used for generating unified spare part master data for each cluster and synchronizing the spare part master data to a plurality of systems. According to the method, a large model and deep learning are utilized, multi-dimensional features are extracted and fused for multi-source spare part data, spare part similarity matching is carried out, dependence on a spare part coding format is broken through, and the accuracy and robustness of cross-system matching are improved.

The invention discloses a margin analysis method based on an MBSE spaceflight equipment model, and the method comprises the following steps: S1, building an MBSE model of spaceflight equipment, and converting design parameters, function demands and system constraints into a unified system model; s2, analyzing and determining coupling design parameters through a system model; s3, margin representation data are formed according to the coupling design parameters; s4, generating a margin distribution result based on the margin representation data; s5, based on the margin distribution result, generating a visual margin distribution result; s6, calculating a safety margin boundary based on a visual margin distribution result; s7, generating an over-limit alarm and verification report based on the safety margin boundary; and S8, monitoring the change of the design parameters in real time according to the over-limit alarm and verification report, and recording the over-limit condition of the design parameters. According to the method, the MBSE concept is introduced, and a more systematic and accurate view angle is provided for margin analysis by establishing a formalized model of the system.

The invention belongs to the technical field of multi-agent cooperative intelligent control, and particularly relates to a multi-mechanical-arm cooperative control method under unknown disturbance, which comprises the following steps: establishing a dynamic model of a strict feedback nonlinear multi-mechanical-arm cooperative system; constructing a communication topological structure of the system through a virtual coupling mechanism; constructing a unified system collaborative error model; introducing a preset time function and a global preset performance function, mapping errors to an adjustable constraint performance space, and ensuring that all error signals are dynamically converged in a performance range set by a user; a task layer shape control force and a pose control force are designed under a distributed gradient descent method framework, a task layer overall control force is constructed, and multiple mechanical arms are driven to move cooperatively and keep a stable formation in a task space; designing a joint layer distributed adaptive control law under unknown disturbance through passive characteristics of a nonlinear system; according to the method, cooperative convergence and stable control of the multi-mechanical-arm system within the preset time can be achieved under unknown disturbance.

The invention discloses an articulated coordinate measuring machine error prediction compensation method and system based on a digital twin model. The method comprises the following steps: constructing a real-time synchronous articulated arm digital twinborn model; probability modeling is carried out on a plurality of error sources of the articulated coordinate measuring machine through a Monte Carlo method, and then error statistical characteristics are obtained. And inputting the error statistical characteristics, the joint angle during measurement of the real joint type coordinate measuring machine and the environmental parameters into an error compensation network. And the error compensation network outputs the end position compensation amount of the current coordinate measurement result. According to the method, the digital twinborn model of the articulated coordinate measuring machine is constructed, measurement point distribution is simulated, high-frequency online real-time compensation is realized in cooperation with an error compensation network, the whole process of'measurement-simulation-prediction-compensation 'can be completed through a unified system, and the real-time performance of error compensation is remarkably improved.

The invention relates to the technical field of satellite positioning, and discloses a high-precision Beidou positioning terminal device and system, and the device comprises a Beidou multi-frequency positioning module which receives B1C, B2a and B3I frequency band signals of Beidou satellites, and generates centimeter-level original observation data; the heterogeneous data fusion access engine is used for carrying out space-time alignment on multi-source sensing data by dynamically accessing laser point cloud, visual SLAM (Simultaneous Localization and Mapping) and UWB (Ultra Wideband) positioning data; the neuromorphic space-time alignment algorithm module unifies a multi-source data coordinate system; the block chain trusted data pool module is used for anchoring the Beidou positioning data and encrypting and storing the sensing data; and a scene semantic decision module. Carrier phase dynamic characteristics are encoded into a pulse sequential sequence by a neuromorphic module in real time, a physical signal is converted into a time-space event understandable by an algorithm, a cross-modal attention mechanism is driven to automatically improve a laser point cloud weight, visual interference is suppressed, and errors of satellite denial scene positioning are reduced.

The embodiments of the present invention provide a sound source localization system and method in a virtual environment, which are applied to the sound source localization of an intelligent body in a virtual environment. The sound source simulation module is used to simulate and generate sound signals in a virtual environment, and simulate the propagation of sound signals in the virtual environment; the sound source cache module is used to set multiple buffers, cache the sound signals generated by the sound source simulation module, and set the frequency at which the sound signals are sent to the sound source localization module for processing; the sound source localization module is used to detect the location of the sound source according to the sound signal sent by the sound source cache module, and perform sound source integration. The present invention designs a unified system architecture to support the hearing ability and sound source localization ability of virtual people, and can adapt to different sound source localization algorithms by designing a highly versatile interface. In addition, a buffer is used to cache sound fragments, increase the data length processed by the sound source localization algorithm at a single time, and improve the accuracy of the positioning algorithm.

The invention provides a shuttlecock serving and picking all-in-one machine based on vision. The shuttlecock serving and picking all-in-one machine structurally comprises a moving device, a main control system, a serving device, a vision system and a picking device, the main control system and the serving device are positioned at the upper end of the moving device, the vision system is carried on the top of the serving device, and the picking device is further arranged on the back of the serving device; the limitation of traditional single-function equipment is broken through by combining a Bluetooth module and a computer underlying principle of the main control system with knowledge modules such as a sensor, an electronic element and robot control, a pitching machine and a ball picking machine are integrated into a unified system, a training-recycling closed loop is realized, and manual intervention is reduced; according to the multi-dimensional ball path control system, precise ball serving at any angle (the elevation angle of-30 degrees to 70 degrees) and in any direction (the horizontal rotation of 0-360 degrees) and a self-adaptive ball serving algorithm are achieved; according to the position of a player, the ball serving falling point is dynamically adjusted, a real confrontation scene is simulated, and the ball speed is adjusted in a stepless mode (20-120 km / h), so that different requirements from beginners to professional players are met.

A method, computer program product, and computing system for providing on-demand high-availability service on a storage cluster. A new single-node appliance is added to the storage cluster, the storage cluster includes one or more original single-node appliances and an internal remote system configured to facilitate intra-cluster orchestration operation. A remote system object representing the new single-node appliance is generated in the internal remote system. An appliance identifier for the remote system object representing the new single-node appliance is determined. In response to determining that the appliance identifier is a non-zero appliance identifier, an internal remote session between the remote system object and the storage cluster is established. The one or more original single-node appliances and the new single-node appliance are presented as a unified system. Protected storage volumes are provisioned on any of the single-node appliances included in the unified system.

This invention discloses a method and system for flattening a multi-level hybrid model in the X language, belonging to the field of model compilation technology. The method comprises: obtaining an X language coupling model; and recursively flattening the coupling models within the X language coupling model. By recursively flattening the coupling models within the X language coupling model, the present invention can integrate and flatten continuous models at different levels of a multi-level continuous-discrete hybrid model established in the X language, connected by equations, into a unified system of equations, thereby facilitating the underlying solution and simulation of the X language hybrid model.

The present invention provides a secret computing technology that effectively unifies the exponent of floating point. → a]] P ,[[ → ρ]] Q )( → a=(a0,…,a m‑1 ), → ρ=(ρ0,…,ρ m‑1 )) to calculate the fraction of floating-point vectors with unified exponents ([[ → b]] P ,[[ → ρ max ]] Q )( → b=(b0,…,b m‑1 ), → ρ max =(ρ max ,…,ρ max )(ρ max =max{ρ0,…,ρ m‑1}), satisfying 2 ρ_i a i ≒2 ρ_max b i ) secret exponent unified system, including: the mantissa calculation unit, according to the share [[ → a]] P The i-th element and the share [[ → ρ dif ]] Q =[[ → ρ]] Q ‑[[ → ρ max ]] Q Convert to a share of the replication secret << → ρ dif >> Q The i-th element of i The share of i ]] P (b i =2 ‑ρ_dif,i a i ), from which the share [[ → b]] P .

The present invention provides a method, device, electronic device and storage medium for obtaining time slot ratio, which relates to the field of communication technology. The method includes: controlling the high layer to obtain the target time slot ratio information corresponding to the target uplink and downlink ratio period from the local database, and forwarding the target time slot ratio information to the MAC layer; controlling the MAC layer to determine the uplink and downlink configuration mode of each symbol in each time slot within the target uplink and downlink ratio period based on the target time slot ratio information, and forwarding the uplink and downlink configuration mode of each symbol in each time slot to the physical layer; controlling the physical layer to forward the uplink and downlink configuration mode of each symbol in each time slot to the radio frequency system through the CSR packet. On the one hand, the present invention can realize the issuance of multiple time slot ratios for different business types, and on the other hand, by obtaining the time slot ratio in the form of CSR packet forwarding, it is not only simple and efficient but also can ensure the complete uniformity of the time slot configuration of the entire system.

A unified platform for multi-modal data compression and decompression that enables efficient processing of correlated data streams while preserving relationships between different modalities. The platform employs a virtual management layer to analyze and route input streams, implementing correlation analysis to identify temporal and spatial relationships between streams. Multiple compression methods, including neural network-based approaches, are utilized to compress data sets while maintaining cross-modal dependencies. A neural upsampling system leverages learned correlations between streams to enhance reconstruction quality. The platform includes a synchronization manager that maintains temporal alignment and relationship preservation throughout processing. By integrating correlation-aware compression with neural upsampling techniques, the platform provides comprehensive multi-modal compression capabilities while preserving critical relationships between different data types. The system is particularly suited for applications involving synchronized audio-visual data, sensor streams, and other multi-modal content.

This invention provides a method, system, medium, and device for RTE optimization of multi-sensor data synchronization, belonging to the field of autonomous driving technology. The method receives multi-sensor data, adds a unified system timestamp, and encapsulates the system timestamp, sensor ID, and the data entity itself to generate a data packet. The data packet is stored in a shared sorting buffer according to the system timestamp. The sorting buffer is checked to determine if a preset release trigger condition is met. When the release trigger condition is met, all data packets that meet the time alignment requirements are retrieved from the sorting buffer and assembled into a synchronization data frame. The synchronization data frame is released through the runtime environment interface. The synchronization data frame is received and directly fused. This method significantly reduces the complexity and development / maintenance costs of application-layer software; achieves deterministic and minimized end-to-end processing latency; improves system resource utilization; and has good versatility and reusability.

The invention discloses a multi-standard CAN bus data unification system and method based on dynamic protocol identification, and aims at solving the technical problems that an existing CAN bus terminal protocol is poor in compatibility, data analysis and carbon metering errors are large, and multi-protocol concurrency conflicts exist. The system comprises a CAN FD physical layer controller, a programmable protocol identification engine, a dynamic data mapping module and a TDMA conflict arbitration unit. According to the method, on-line identification and lossless conversion of 12 mainstream CAN protocols are realized through hardware reconstruction (CAN FD + FPGA) and algorithm optimization. A protocol identification engine combines hardware ID filtering and machine learning classification, a dynamic data mapping module adaptively adjusts signal offset based on a metadatabase, and a TDMA arbitration mechanism processes data streams in a time-sharing manner. Test verification shows that the protocol compatibility is improved by 300%, the carbon metering deviation is compressed to be smaller than or equal to 0.5%, the bus load rate is reduced by 40%, the high-precision requirement for mobile source carbon emission monitoring can be met, the method is suitable for industrial scenes such as commercial vehicle mixed plaiting vehicle teams, the ISO14064 carbon emission certification standard is met, and the method has remarkable practical value and popularization prospects.

A plant diagram unification system includes a processor configured to define a unified object that unifies different display modes of objects of same type, acquire a diagram that is used for construction, operation, and maintenance of a plant, detect an object that is included in the diagram, replace a detected object with the unified object, and generate an object unified diagram in which the display modes of the objects of the same type are unified.

The invention discloses a visual production board system and a use method thereof, and relates to the field of management systems. According to the visual production billboard system, the system architecture comprises a hardware layer, an inner code layer, a machine interface instruction layer and an operating system layer, and the system is used through the following steps that firstly, engineering data are commonly connected in series; 2, the system monitors production; 3, unifying a system and a construction period standard; and step 4, enabling a real-time system board to be visible. According to the visual production billboard system, data of a previous project are integrated into a unified AS400 system, it is ensured that the data can be input and updated in real time, the whole production process is monitored through the system, the production progress and problem points are directly displayed in the system, the previous project and the next project are managed through the unified system, and a unified construction period standard is set; and the real-time system billboard is used for displaying the production progress and the inventory condition, so that the intermediate partition is reduced.

The application relates to the computer technical field, in particular to a global data compliance configuration method and system, electronic equipment and program product, wherein the method comprises the following steps: judging whether a data configuration request is received; if the data configuration request is received, determining a target deployment region according to the data configuration request, and building an initial system of the target deployment region; and connecting the initial system with a preset data compliance configuration center, and generating a new localization system meeting the deployment requirements of the target deployment region. Therefore, the problem that enterprises in different countries have different data management systems, the differentiation increases over time, and the operation and maintenance cost increases is solved, and unified configuration and unified system of platform data compliance in different countries can be realized, so that unified operation is realized.

The present disclosure relates to a management system and method for managing client connections in a WinCC Unified system, the management system comprising a WinCC Unified system and clients, each client being connected to the WinCC Unified system over a network. Wherein the WinCC Unified system defines a first variable, a second variable and a third variable; opening the starting picture to access the WinCC Unified system, and executing a first loading event of the starting picture so as to record client information of each accessed client into a first variable in an array form; executing a second loading event of removing the picture to load the client information in the first variable to the list box; and selecting the client information in the list box as the client information of the to-be-removed client, assigning a client identifier of the to-be-removed client to the second variable, and setting the third variable as a set value to trigger the removal operation. Therefore, variables, pictures and operation processes are introduced into the WinCC Unified system, so that an effective client management mechanism is realized, and resource allocation is optimized.

The invention discloses a multi-layer air network energy consumption optimization method based on a sensing, communication, calculation and storage mechanism. The method comprises the following steps: S1, establishing a multi-layer air network system model; s2, respectively establishing an unmanned aerial vehicle-wireless equipment perception model, a wireless equipment-unmanned aerial vehicle-high-altitude platform communication model and an unmanned aerial vehicle-high-altitude platform cache model; s3, establishing a system delay calculation model; s4, establishing a system energy consumption calculation model; s5, establishing an optimization model for jointly optimizing a time scheduling proportion, a task unloading proportion, a compression selection proportion, a service cache decision and a UAV trajectory; and S6, carrying out iterative solution to obtain the optimal time scheduling proportion, task unloading proportion, compression selection proportion, service cache decision and UAV trajectory so as to enable the total energy consumption of the multi-layer air network system model to be minimum. According to the method, perception, communication, calculation and caching are integrated into a unified system model, network functions are re-conceived fundamentally, the problem that a traditional ground network is limited is solved, the method is more flexible, and time delay and energy consumption are reduced while service efficiency is improved.

A multi-dimensional integrated monitoring system and method for underground engineering. The system comprises a point monitoring module (1) mounted on a plurality of first monitoring sections (01) of underground engineering, a line monitoring module mounted on a plurality of second monitoring sections (02), an area monitoring module mounted on a tunnel face (03), a volume monitoring module mounted on a plurality of third monitoring sections (04), and a data analysis platform for receiving and analyzing first feature information collected by the point monitoring module (1), second feature information collected by the line monitoring module, third feature information collected by the area monitoring module, and fourth feature information collected by the volume monitoring module. The system provided in the present application solves the problems of incapability of forming a unified system in which monitoring means are integrated to each other in underground engineering and incapability of comprehensively reflecting the overall situation of engineering.

The present invention relates to the technical field of time unification and synchronization, and discloses a time unification system, including a core processing module, a standard frequency module, a satellite signal receiving module, and a transceiver module, wherein the core processing module is electrically connected to the standard frequency module, the satellite signal receiving module, and the transceiver module, respectively. The present invention solves the problems of large error in output time information existing in the prior art.

This application relates to the field of data analysis technology, and discloses an operational analysis method, device, and electronic device applicable to different operational activities. Based on a lifecycle model, different operational activities are promoted using corresponding promotion methods, and feedback information under each promotion method is obtained. According to predefined raw indicator data, the raw indicator data corresponding to each operational activity is extracted from the feedback information. According to predefined operational performance indicator data, the raw indicator data of each operational activity is parsed to obtain the corresponding operational performance indicator data. In response to an operational performance viewing command, the operational performance indicator data of the operational activity is retrieved from the database and displayed in a visual form on a display interface. This solves the problem of the lack of unified and systematic operational data analysis in existing operational activities.

Process for selective attention in a conversation with multiple participants, each participant being either a human or an apparatus, including processing outputs from a plurality of sensors, each sensor sensing a different modality, detecting communication modalities of the multiple participants, a communication modality being either speech or sign language, determining a plurality of probability distributions of source participants to whom a specific participant is paying attention, according to a respective plurality of models, fusing the plurality of probability distributions into a confident probability distribution, defining a confidence level for the confident probability distribution, applying natural language processing to convert each participant's communication to text, clustering the participants into conversation groups, deriving an intended source participant to whom the specific participant is paying attention, according to a source participant with a highest expected utility, and suppressing audio received from participants other than from the intended source participant.