51 results about "Unified system" patented technology

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 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 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.

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 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.

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.

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.

The embodiment of the invention provides an iridium satellite monitoring and early warning system and method, and belongs to the wireless communication signal monitoring technology. The system comprises a signal acquisition subsystem used for acquiring wireless signals in an iridium communication frequency band; the signal processing subsystem is connected with the signal acquisition subsystem and is used for performing iridium communication characteristic-oriented processing on the wireless signal so as to obtain analyzable effective signal data; the information analysis subsystem is connected with the signal processing subsystem and is used for analyzing the effective signal data and generating communication information for representing iridium communication activity; and the monitoring and early warning subsystem is connected with the information analysis subsystem and is used for executing monitoring analysis based on the communication information and outputting a corresponding monitoring result or early warning information. According to the scheme of the invention, acquisition, processing, analysis, monitoring and early warning of iridium communication signals are integrated in a unified system architecture, and continuous monitoring, structured analysis and timely early warning output of iridium communication activities are realized.

The invention provides a method for constructing a distributed multi-station cooperative system based on simulators, and the method comprises the steps: enabling a simulation controller to achieve the information interaction of multiple simulators through a data bus, the interaction information is data input of the simulation controller and simulation data output of the simulator; mapping the simulation simulator to state data corresponding to different system simulators; and controlling the state data through a simulation controller so as to drive different system simulators. The unified system of the multiple system simulators is constructed, overall regulation and control arrangement and distributed application are achieved, and the technical problem that a unified cooperative system based on the multiple system simulators is lacked in the prior art is solved.

Provided are systems and methods and computer-implemented systems for generating synthetic data and optimizing performance of large language models, by integrating semi-automatic synthetic data generation, prompt optimization and continual learning into a unified system, without full fine-tuning of the model, to improve performance of the large language model. The cold start problem of the large language model is solved through a multi-stage process, including: generating a diversified parameter set and natural language sentences; constructing synthetic user queries using feature descriptions, parameter sentences and constraint instructions; bootstrapping with a small amount of samples with the help of a compiler, and iteratively evaluating instruction-example combinations to optimize the large language model module; and combining real-time data and synthetic data to complete continual validation and optimization.

The present application relates to the technical field of small target detection and multi-target tracking, and particularly relates to a vehicle tracking and license plate recognition joint detection method based on improved YOLOv8, which fuses vehicle detection tracking and license plate recognition in a unified system, and realizes joint detection through the following steps: firstly, an improved YOLOv8 algorithm is used to detect vehicles and license plates, then a BOT-SORT tracking algorithm based on the Hungarian algorithm is used for vehicle target tracking, and LPRNet is used for license plate recognition; by using deformable convolution operation instead of standard convolution, the receptive field size can be changed according to the image, and the MHSA attention network is added, which greatly improves the object detection accuracy while ensuring lightweight, and the present application integrates vehicle multi-target tracking and license plate recognition in a system, which is convenient to use and easy to deploy in edge devices.

The invention discloses a regional medical treatment and health integrated management information system based on a cloud platform, and relates to the technical field of information systems, the system is based on the cloud platform technology, various medical treatment and related mechanisms are seamlessly integrated on a comprehensive platform, and an information barrier brought by a traditional independent system is eliminated. Specifically, all information is uploaded to the cloud server in a unified manner and interacts with the cloud server, so that the defects of physical isolation and information dispersion caused by respective establishment of systems are overcome. And meanwhile, standardization of data formats is ensured by a unified system architecture, so that data isolation caused by inconsistent data formats is broken. In addition, the uniformity of information flow and the convenience of management are ensured by the integrated architecture, and the expansion, upgrading and maintenance of the system are facilitated by the interface type decoupling design. The system also provides a visual interactive portal which is visual and easy to use, and ensures that medical workers, patients, system management personnel and maintenance personnel can quickly adapt and effectively use the system.

A mobile application providing a unified system for tracking visual equipment and enhancing communication in medical environments. The mobile application features tools for designing OR layouts, tracking equipment by serial numbers, and real-time troubleshooting. The mobile application integrates various forms of communication into a single platform and offers customizable administrative access and secure data management, streamlining operations, improving communication, and increasing efficiency in healthcare settings.

The invention discloses a virtual resource dynamic scheduling method and system in a hybrid cloud environment, relates to the technical field of resource scheduling, and translates an abstract service demand protocol into a scheduling strategy object which can be understood and activated by a machine by capturing and analyzing the abstract service demand protocol. Meanwhile, multi-dimensional fusion is carried out on the resource state, the multi-cloud price model and the real-time service KPI flow in the underlying mixed cloud environment to form a globally unified system state view. On this basis, an adaptive mechanism based on a control loop is introduced, and continuous weight vector optimization and generation are carried out by taking an activation strategy analyzed by an intention as a guide and taking a multivariate optimization index as a decision factor capable of being dynamically deployed. And finally, the scheduler performs intelligent weighted scoring on the new task request by using the group of dynamic weights, and makes an optimal placement decision. Therefore, an intelligent decision closed loop from business intention definition to resource scheduling execution can be realized, so that the resource allocation efficiency and business agility of the hybrid cloud environment are improved.

This invention belongs to the field of multi-agent cooperative intelligent control technology, specifically relating to a multi-manipulator cooperative control method for unknown disturbances. The method includes: establishing a dynamic model of a strictly feedback nonlinear multi-manipulator cooperative system; constructing the system's communication topology through a virtual coupling mechanism; building a unified system cooperative error model; introducing a preset time function and a globally preset performance function to map errors to an adjustable constraint performance space, ensuring dynamic convergence of all error signals within the user-defined performance range; designing task-level shape control forces and pose control forces within a distributed gradient descent framework to construct an overall task-level control force, driving the multi-manipulators to move cooperatively and maintain a stable formation in the task space; and designing a joint-level distributed adaptive control law under unknown disturbances using the passive characteristics of the nonlinear system. This invention enables multi-manipulator systems to achieve cooperative convergence and stable control within a preset time under unknown disturbances.

The RPA framework provides a unified system that connects user retention, organizational interaction points, and financial return through velocity-based measures, enabling real-time profitability determination at scale across siloed data systems. The invention computes and optimizes profitability by connecting two physics-inspired time-based variables-retention and payback, or inactivity and return on investment-across millions of cohorts and segments. A profitability signal is generated by comparing inactivity velocity with payback velocity, transforming profitability assessment into a binary indicator and visualizing projected speeds. By reframing static cohort curves into dynamic velocity signals, the system operationalizes profitability determination in real time within a unified measurement framework. Additional embodiments include integration of alignment measures and profit trajectory uplift, providing leadership with a centralized operating system for decision-making, organizational synchronization, and growth management beyond traditional static reporting, establishing a single source of operational truth.

The application discloses a kind of adaptive control parameter optimization methods for multi-field industrial control system, belong to industrial control and intelligent control technical field;By collecting the multi-source heterogeneous time series data in multi-field industrial control system, a unified system state representation is constructed;The non-invasive virtual state evolution of multiple candidate control parameters is deduced, and the corresponding system response trajectory is generated;Introduce the preferred parameter verification mechanism based on physical residual and parameter risk potential, and screen out the parameter combination that violates physical constraints or has high risk;Based on spectral entropy and spectral geometric center, the frequency domain topology gating analysis is carried out, the stability and safety of the control parameters are constrained in frequency domain, and the application of the control parameters is triggered only when the frequency domain stability condition is met. Realize the safe, robust adaptive optimization of multi-field industrial control system control parameters without interfering with the existing production process, improve the reliability and engineering practicability of complex industrial control system parameter setting.

The invention discloses a uaf-based simulation system integrated design method, and relates to the technical field of software architecture design, the uaf-based simulation system integrated design method comprises a method layer, a model layer and a data layer, the method layer comprises a demand argumentation stage and a planning argumentation stage, and the demand argumentation stage comprises the following steps: A1, system capability conceiving; a2, system requirement generation; A3, system structure design; A4, system scheme verification; the planning argumentation stage comprises the following steps: B1, system comprehensive evaluation; b2, system planning project management; b3, comprehensively evaluating system planning; and B4, generating a system planning scheme. According to a model-based system design thought, a unified system modeling language and a meta-model technology are adopted to construct a system overall structure, system design and simulation links are opened, and bidirectional driving design of consistency of system logic design and simulation space-time sequences is realized, so that the system design level and the design efficiency are improved.

The application discloses an industrial system mechanism modeling simulation platform, a unified system modeling simulation code system is constructed based on a Python language, a system identification model function library is constructed based on AI technology, and a dynamic model of a complex industrial system or equipment is identified through industrial big data; a general system modeling simulation environment is provided, a linear dynamic system and an artificial intelligence nonlinear dynamic model are incorporated into a unified modeling simulation system, visual combination modeling and industrial system simulation are carried out, and identification modeling simulation integration is supported; and the application is used for industrial system identification modeling simulation technology required by industrial internet and industrial intelligent construction, and provides a reliable system model for design of a high-end controller.

The application provides an intensive integrated train on-board network information security protection system.The system comprises a management module, a strategy distribution module and a security protection control module.The management module receives and manages security protection strategies dynamically customized by users through an operation interface.The strategy distribution module configures the security protection strategies into programmable software modules, dynamically binds the security protection strategies with CPU cores and deploys the security protection strategies on relevant hardware devices.The security protection control module divides network security protection functions into multiple independent security components, decouples the security components from the hardware devices, deploys the security components in the form of software modules on the hardware devices and sets corresponding security protection strategies for each security component.The system integrates multiple dispersed network security protection devices into a unified system through intensive integrated design, multiple security protection units realize dynamic redundant protection through intelligent linkage, intelligent joint defense and control and active defense are realized and train network security performance is improved.

The invention relates to the technical field of pharmaceutical production process control, and discloses an intelligent pharmaceutical production process monitoring and optimizing system, which comprises a multi-scale data acquisition module, a data preprocessing module, a process information entropy calculation module, a self-adaptive sensing strategy module and a predictive control module, according to the method, the collected macroscopic and microscopic scale data are fused into a unified system state vector, the process information entropy is calculated according to the unified system state vector to quantify the overall stability of the system, on one hand, the system dynamically adjusts a sensing mode according to a PIE value, and optimal configuration of sensing resources is achieved; and on the other hand, when the PIE exceeds a preset threshold value, the system locates an unstable key driving source through an entropy increase contribution degree traceability technology, and generates a predictive control instruction in combination with a control knowledge base to perform active intervention. According to the invention, early instability early warning, on-demand distribution of sensing resources and accurate predictive control in the production process can be realized, and the stability and operation efficiency of the production process are improved.

A unified system with a machine learning feature data pipeline that can be shared among various product areas or teams of an electronic platform is described. A set of features can be fetched from multiple feature sources. The set of features can be combined with browsing event data to generate combined data. The combined data can be sampled to generate sampled data. The sampled data can be presented in a format having a structure that is agnostic to a feature source from which the set of features was fetched. The sampled data can be joined with old features by a backfilling process to generate training data designed to train one or more machine learning models. Related methods, apparatuses, articles of manufacture, and computer program products are also described.

The invention discloses a rescue data real-time synchronization method and system based on a multimode communication link, and relates to the technical field of aviation medical rescue. Comprising the following steps that: portable vital sign monitoring equipment and an airborne communication gateway execute millisecond-level time synchronization through a network time protocol, accurately calibrate a time difference between the portable vital sign monitoring equipment and the airborne communication gateway, and establish a unified system time reference; on the basis of a unified time reference, the portable vital sign monitoring equipment configures parameters according to medical standards, collects original vital sign data and generates a data packet; the technical key points are as follows: a redundancy technical system of a multimode link dynamic scheduling integrated Bluetooth P2P double-buffering mechanism is adopted, the technical combination solves the common severe network problem in helicopter rescue, avoids data loss or communication interruption, can realize zero loss of vital sign data even in an extreme network interruption scene, and improves the reliability of helicopter rescue. The survivability of the system in a complex environment is greatly improved, the data integrity is greatly improved, the use effect is good, and the system has a good use prospect.

The invention belongs to the technical field of wireless communication, and particularly relates to an intelligent reflector beam tracking method based on space-time joint optimization. The method comprises the following steps: firstly, performing covariance analysis and spatial pyramid pooling processing on historical channel state information of a user, and inputting the historical channel state information into an LSTM network to extract time sequence features; meanwhile, a graph structure is constructed based on user position and distance information, and spatial features are extracted by using a graph attention network. And then, adaptive weighted fusion is carried out on the time sequence and spatial features through a designed spatio-temporal information fusion module, and unified system state representation is generated. And finally, inputting the fused features into a regression network to realize high-precision prediction of the azimuth angle. The method effectively improves the accuracy and robustness of beam tracking in a dynamic environment by jointly mining the space-time correlation characteristics in the channel and position data.

This invention provides a timing synchronization method, a digital walkie-talkie, and a computer program product, applied in the field of wireless communication technology. In a digital communication system, a terminal device in an unsynchronized timing state can, upon receiving a synchronization beacon from another terminal device, configure its own timing based on the received beacon, switch to a synchronized timing state, and determine the timing synchronization master device. Based on this, a terminal device in an unsynchronized timing state can achieve timing synchronization with other terminal devices in the system through synchronization beacon activity, thus solving the problem of timing asynchrony among terminal devices within the system to a certain extent. This provides a foundation for unifying the timing of terminal devices within the system and helps to solve, to some extent, the service interference problem caused by timing asynchrony in different terminal coverage areas within a digital communication system.

The invention discloses a data quality exploration and evaluation method for a structured data set, and belongs to the field of data processing. According to the method, the problems of single-dimension inspection limitation and lack of a unified and systematic evaluation framework in the existing method are solved, structured data are subdivided into seven categories, a targeted exploration rule is formulated, a six-dimension index system and a dynamic weight distribution mechanism are constructed, and multi-dimension and refined evaluation is realized; a closed-loop process is formed by fusing various probing methods, and a business logic rule is automatically generated by means of a large model and mapped to a quality dimension, so that the manual configuration cost is reduced, and the rule generation intelligence level and adaptability are improved; a qualitative conclusion is given according to a probing result, quantitative evaluation is performed in combination with a scoring model, and reliable support is provided for decision making; according to the method, the repair rule is automatically generated and the effect is verified, and rule base version management is established, so that the problems of lack of repair means and incapability of continuously optimizing the rule in traditional treatment are solved, and a data quality treatment closed loop is formed.