83 results about "Global system" patented technology

A Private Mobile Network (PMN) orchestrator sends, to a controller for a public mobile network, a message indicating one or more network functions for a private mobile network slice for a private mobile network and configuration information for the private mobile network slice. In some examples, the message is a Global System for Mobile communications Association (GSMA) NEtwork Slice Type (NEST) extended to specify the one or more network functions for the private mobile network slice and the configuration information for the private mobile network slice. The message enables the public mobile network to deploy a public mobile network slice that extends the private mobile network slice.

The invention relates to the field of Serverless function scheduling, and particularly provides a Serverless function scheduling method based on deep reinforcement learning. According to the method, a Serverless operation environment is simulated, a near-end strategy optimization (PPO) reinforcement learning framework is adopted, and a PPO algorithm utilizes a strategy constraint mechanism to maintain the model updating stability and improve the training data utilization rate. In a model training stage, an intelligent agent generates a scheduling action according to local observation information, inputs a global system state into a Critic network for joint value evaluation, and outputs a reward signal with weight correction. During actual deployment, the agent autonomously executes instance scheduling based on the trained strategy network, and rapidly responds to a scheduling request. According to the method, a reward function is set by taking minimization of response time and energy consumption as optimization objectives, and intelligent function scheduling of Serverless under dynamic resources and workloads is realized.

The invention discloses a kernel-level heterogeneous collaborative AI reasoning method and device, equipment and a storage medium, and relates to the field of AI reasoning acceleration. When the KDS receives a reasoning request submitted by a user space, generating a cross-device plan list according to a global system resource state and issuing the cross-device plan list to the HCEE; the HCEE drives the corresponding target execution equipment according to the task execution sequence, reads the data information from the UCMP, or restores intermediate / result data reasoned and output by the target execution equipment; after reasoning of the plan list is completed, the kernel space triggers an event notification mechanism, and a user process of the user space is awakened; and the user process directly reads the reasoning result from the UCMP. According to the scheme, deep collaboration of task scheduling, memory management and equipment execution is realized on a Linux kernel level, the problems of high overhead, resource islands, memory redundant copy, extensive scheduling granularity and the like of a user mode reasoning framework system are solved, and end-to-end low-delay, high-throughput and high-energy-efficiency AI reasoning acceleration is realized.

The invention discloses a distributed photovoltaic user power behavior control scheduling method and system, and the method comprises the steps: deploying an edge controller at a photovoltaic user local device, and collecting power data in real time; a sliding window autoregression model is adopted to carry out short-term load prediction, and an edge controller realizes energy storage state adjustment and load matching balance by constructing an edge node objective function; carrying out constrained quadratic programming solution on the edge node target function, taking a solution result as a node local scheduling strategy, and regularly uploading a current state and a control result to the cloud; the cloud optimization layer collects all edge node state data, constructs a global system state set, and establishes a multi-target joint scheduling model on the cloud optimization layer; and solving and optimizing the multi-target joint scheduling model to generate a global scheduling strategy, and issuing the global scheduling strategy to each edge node. According to the invention, energy prediction and real-time load scheduling are independently executed on the edge side controller on the basis of local data, and the response speed is improved.

The invention relates to the technical field of unmanned aerial vehicle formation, in particular to a resource-limited multi-unmanned aerial vehicle optimization backstepping formation fault-tolerant control method, which comprises the following steps of: constructing a nonlinear dynamic model; determining a formation communication topological structure according to a formation task requirement; designing a neural network state observer; designing a trigger mechanism for state updating of the observer; calculating a formation tracking error and a tracking error of a formation global system; based on a backstepping control method, introducing first-order filtering at the same time, and calculating a speed tracking error; virtual control is introduced, and a filtering tracking error is calculated; designing an event triggering mechanism of an unmanned aerial vehicle controller based on the tracking error, the speed tracking error, the virtual control input and the first-order filtering of the global system; designing a neural network and optimizing a fault-tolerant controller; and the execution network and evaluation network architecture based on reinforcement learning optimizes control parameters. According to the invention, the response capability of the multi-unmanned aerial vehicle formation system after the unmanned aerial vehicles fail is significantly improved, and the operation efficiency of the formation system is improved.

The invention provides a flexible load hierarchical polymerization optimization regulation and control method. Flexible load operation data is acquired and divided into adjustable and non-adjustable loads, and a classification foundation is laid for subsequent hierarchical aggregation; three-level aggregation of an equipment layer, a region layer and a system layer is executed on two types of loads, and scattered resources are integrated into a hierarchical structure, so that the complexity of directly regulating and controlling massive scattered loads is remarkably reduced; a regulation and control model is established based on a hierarchical aggregation result, and an optimization algorithm is adopted to solve a strategy, so that collaborative optimization from local equipment to a global system is realized. According to the method, the contradiction between resource dispersity and regulation and control real-time performance is solved through a layering mechanism, the transmission efficiency and execution precision of regulation and control instructions are improved, meanwhile, the communication burden and the calculation cost are reduced through an aggregation model, and an efficient framework is provided for flexible dispatching of power grid flexible loads.

A system for global system memory management unit (SMMU) fault handling, the system comprising: a peripheral device having a guest virtual machine (GVM), the peripheral device configured to access a memory (DDR) through a system memory management unit (SMMU); a hosted hypervisor associated with the peripheral device, the GVM, the SMMU, and the memory (DDR), where, upon identification of a faulty memory transaction and a global SMMU fault issued, the hosted hypervisor is configured to identify that a flow identifier (SID) associated with the global SMMU fault is assigned to the GVM, and the hosted hypervisor is configured to reset only the GVM, and to identify that the flow identifier (SID) associated with the global SMMU fault is assigned to the GVM. And restarting of the complete system is avoided.

The invention discloses a hydropower station gate emergency control system, and relates to the technical field of hydropower station gate remote control, the hydropower station gate emergency control system comprises a plurality of groups of in-situ data acquisition control servers, a Beidou terminal, an edge data unit, a serial port optical fiber converter and an optical fiber, the in-situ data acquisition control servers realize wired connection through the optical fiber; and the in-situ data acquisition control server is wirelessly connected with the Beidou satellite through the Beidou terminal. According to the invention, point-to-multipoint remote wireless communication between the computer monitoring system at the power station side and each gate at the dam side is implemented through the Beidou satellite, and a communication link is safer and more reliable than a GSM (Global System for Mobile Communications); state data of the sluice gate are collected in a Beidou satellite transmission mode and transmitted to a central control room of a power station, and state remote measurement, remote signaling and remote control of the sluice gate are achieved when a traditional optical fiber communication cable breaks down. In a conventional environment, traditional optical fiber communication is still adopted, daily stable communication is guaranteed, and meanwhile communication cost is saved.

The application relates to the field of computing models and industrial safety data processing under new-generation information technology, and discloses a chemical fire and explosion coupling consequence prediction method and system based on a large model, which has the technical scheme as follows: physical mapping of a multi-source heterogeneous environment and construction of a graph node digital twin, evolution calculation of a fluid mechanics source term and triggering of a disaster critical point, deduction of a physical large model thermal radiation field in a restricted environment, analysis and quantification of a "thermal-power" dual coupling tensor of a target device and buckling failure, deduction of a space-time graph attention network with strong intervention of a physical prior probability, tracing of global system vulnerability and closed-loop blocking control of a physical execution end; by using intelligent calculation technologies such as a physical information neural network and a space-time graph attention network, a thermodynamic partial differential equation and a material thermal-power coupling failure criterion are forcedly embedded into a graph deduction framework as a physical prior bias, so that complex disaster consequence prediction is accelerated from "hour level" to "second level" in the traditional CFD.

A method for monitoring a traffic area with a traffic monitoring system comprises monitoring a traffic area with a global monitoring system and monitoring at least one partial traffic area of the traffic area with a local monitoring system. The traffic monitoring system establishes a global communication connection to a vehicle located in the traffic area with at least one global communication unit and a local communication connection to the vehicle in the partial traffic area with at least one local communication unit. The global system controls the vehicle by determining a route with the global system; and transmitting control commands via the global communication connection to the vehicle. A control command is transmitted to the vehicle by the local communication unit when the vehicle is in the partial traffic area and the local system detects a hazardous situation.

The application relates to the technical field of digital security management of assets, and discloses a digital security management system and method, which extracts to-be-scanned asset identification and scanning strategies by analyzing a digital security scanning task, considers network bandwidth and scanning result data warehousing queues of a scanning engine performing scanning, combines asset risk attributes, scanning features and system resource constraints, generates a digital security management strategy, and further controls scanning and data warehousing actions performed by the scanning engine. Thus, the application realizes accurate matching of scanning frequency and asset risk through a dynamic risk assessment mechanism, avoids the complexity and subjective bias of traditional manual strategy setting, comprehensively considers global system resource restrictions such as scanning engine load, network bandwidth and data warehousing queues, optimizes scanning task scheduling, completely solves the resource competition problem that is prone to occurring in traditional scanning, avoids system performance bottlenecks, and significantly improves scanning efficiency and the timeliness of security assessment.

The invention provides a dynamic self-adaptive DNN collaborative reasoning method supporting a backspacing mechanism, relates to the technical field of image processing, and designs an elastic two-way task flow from equipment to edge to equipment, so that the elastic two-way task flow becomes an intelligent scheduling decision point. And when the edge server is overloaded, the task can be actively returned to the source mobile equipment to be executed, so that the bottleneck of queuing delay caused by edge resource competition is fundamentally avoided. A rollback decision is introduced, so that an unloading strategy is upgraded from'static 'or'semi-static' to real'dynamic self-adaption ', the change of edge resources can be directly responded, and a decision target is expanded from optimizing a single task to optimizing a global system load. Three key dimensions, namely a backspacing decision, resource allocation and a model segmentation point, are arranged in a unified framework for joint optimization. Through an integrated reinforcement learning model, the three decisions are output at the same time, so that the three decisions can cooperate with each other and have a synergistic effect.

The invention discloses a power grid hybrid network performance optimization model considering construction cost, and belongs to the technical field of intelligent power grid communication. According to the model, a parameter system including communication equipment, terrain and a global system is defined, a function with the purpose of minimizing the total cost of a life cycle and multivariate constraint conditions of transmission distance, retransmission times, delay, reliability and flow velocity are constructed, and optimal equipment and transfer device configuration is solved by adopting a node traversal and iterative optimization algorithm. Cost and performance collaborative optimization of a honeycomb, Wi-Fi and ZigBee heterogeneous hybrid communication network under a complex terrain is realized, planning accuracy and reliability are remarkably improved, and construction, operation and maintenance cost is reduced.

The objective of the proposed invention is to make it possible to mount the multifunctional mobile module onto the roof of any vehicle to turn it into an autonomous vehicle by providing all the functions of an autopilot system within a single module, ensuring the operability of the module within a wide range of ambient temperatures (−40° C. to +50° C.), as well as within a wide range of weather conditions (rain, downpour, snow) by means of a thermal management system (TMS) and sensor cleaning systems that are integrated into the body of the module.The multifunctional mobile module for automatic vehicle control comprises an underframe made of a metal profile and equipped with metal brackets that hold screw-connected sensors (cameras, a lidar, an inertial navigation system, a Global Navigation Satellite System (GNSS) receiver), equipment (calculators, fans, heaters, network switches, a peripherals controller, GSM (Global System for Mobile Communications) antennas, sensor cleaning system components), and an outer plating that is also mounted onto the underframe.

The invention relates to the technical field of railway wireless communication, in particular to a GSM-R (Global System for Mobile Communications-Railway) vehicle-mounted front-end wireless interference test system and a method thereof. Comprising a high-resolution spectrum acquisition unit; an integrated multi-dimensional test unit; a dynamic scene adaptation unit; and an intelligent interference diagnosis unit. According to the invention, multipath channel modeling and Doppler frequency offset estimation in a vehicle-mounted high-speed mobile environment are completed through a dynamic scene adaptation unit, and scene prior information is generated; and the intelligent interference diagnosis unit constructs a vehicle-mounted adaptive multipath frequency offset estimation and interference diagnosis model according to the multi-path frequency offset estimation and interference diagnosis model, and realizes full-dimensional interference feature extraction. According to the method, sudden interference is detected by adopting double modes of known interference accurate identification and unknown interference clustering, internal and external source interference is decoupled and traced through feature analysis and hypothesis testing, the criticality is quantified, and a disposal instruction is generated. Meanwhile, based on a diagnosis-collection closed-loop scheduling mechanism, collection parameters are adjusted in a targeted mode, an interference model is iteratively optimized, and self-adaptive adaptation of the system to a vehicle-mounted dynamic scene is achieved.

The present invention belongs to the technical field of three-dimensional laser scanning, and discloses a method for evaluating the accuracy of sparse point clouds without feature extraction. By directly utilizing neighborhood point search and median filtering technology, the elevation values ​​of checkpoints are efficiently and robustly obtained from sparse ground point clouds. First, the ground points are automatically separated with the help of the CSF algorithm, and the adaptive neighborhood radius is calculated based on the horizontal bounding box of the point cloud and the number of points, without the need to manually set parameters; then, the point cloud set around each checkpoint is quickly located through KD-Tree, and the elevation is calculated in a median manner to maximize resistance to interference from noise and isolated points. In addition, the present invention introduces a control point correction process, performs the same median elevation acquisition on the control points under the same neighborhood criterion, and calculates the global system elevation difference after eliminating outliers through the triple mean error method, which is used to accurately convert the leveling measurement elevation to the point cloud elevation benchmark, effectively eliminating the overall offset caused by the benchmark difference.

The invention provides an integrated energy multi-agent collaborative optimization scheduling method and system under an extreme event, and belongs to the technical field of integrated energy system scheduling. The method comprises the following steps: extracting spatial-temporal characteristics of multiple agents of the comprehensive energy system, performing knowledge distillation lightweight, setting the spatial-temporal characteristics to be in a global system state, constructing an agent lightweight general model in combination with Nash equilibrium, and solving the model; obtaining a global system state and an optimal action strategy of each agent in the global system state; combining the optimal action strategy with a built power failure probability model of each extreme event, a built extreme event driven electricity-gas-heat-storage multi-energy disturbance propagation model solving model and a generated adjustment demand matrix; adopting a deep reinforcement learning method to construct a multi-agent collaborative strategy model; and inputting the real-time monitoring data of the comprehensive energy multi-agent into the multi-agent collaborative strategy model to obtain a comprehensive energy multi-agent collaborative optimization scheduling strategy under the extreme event. According to the invention, the regulation and control precision and safety of the integrated energy system under extreme events are improved.

The utility model discloses a touch and press dual-purpose type GSM digital mobile phone modularization detachable button comprising a GSM digital mobile phone and a keyboard assembly, a touch screen is arranged above the front end of the GSM digital mobile phone, the top of the GSM digital mobile phone is provided with a loudspeaker, the bottom of the front end of the GSM digital mobile phone is provided with a keyboard groove, and the keyboard groove is provided with a touch screen. A keyboard assembly used for the replaceable numeric keyboard is installed in a keyboard groove, the keyboard assembly comprises a maintaining shell, fixing screws, buttons, a circuit board and metal contacts, the four corners of the maintaining shell are in threaded connection with the fixing screws, the buttons are arranged in the maintaining shell, the tail ends of the buttons are electrically connected with the circuit board, and the metal contacts are electrically connected with the circuit board. A metal contact is arranged on the left side of the circuit board, and the circuit board is electrically connected with a GSM digital mobile phone through the circuit board. According to the modularized detachable keys of the touch-press dual-purpose GSM digital mobile phone, the key replacement time can be shortened, the key replacement difficulty can be reduced, and meanwhile the key protection capability can be improved.

The present invention relates to a method and system for simulating the full-link space environment channel of the Beidou global system. The method comprises: obtaining the operation control parameters of the signal transceiver link, and setting the scene standard operation control information according to the operation control parameters and the parameter information of the simulation object participating in the link information transmission and reception. According to the scene standard operation control information, the channel model corresponding to the scene standard operation control information and the relative motion state of the simulation object, each link in the space environment channel is uniformly driven for simulation, and the communication simulation of the simulation object in the link corresponding to the channel link relationship is completed according to the channel characteristic simulation parameters and the channel link relationship. The operation frequency information and time-frequency signals of all subsystems in the synchronization system are used to calibrate the scene standard operation control information, channel link simulation and communication simulation of the full-link space environment channel. The present method can flexibly implement the channel simulation capabilities of full-link, full-frequency, full-scene and full-dynamic.

The invention discloses a global digital authentication terminal device supporting an eSIM, and the device comprises a password security chip which is used for executing global digital identity authentication, credit evidence storage and secure communication control, and a security module, an SM9 identification password algorithm module, an electronic seal engine, a multi-platform digital certificate management unit and a trusted execution environment are built in the password security chip; the eSIM module conforms to the standard of the global system for mobile communication (SGP). 22 and supports the switching of configuration files of a multi-operator subscriber identity module; wherein the eSIM module and the password security chip cooperatively operate, when a user initiates a security service, the password security chip generates a dynamic digital identity identifier based on an SM9 identifier cryptographic algorithm, and binds the dynamic digital identity identifier with an international mobile subscriber identity code in an eSIM configuration file; therefore, two-factor authentication of the communication identity and the digital identity is realized. The terminal device has the advantages of strong authentication and high compliance.

The present application belongs to the technical field of exploration and engineering surveying, and specifically discloses a tunneling machine vibration coupling navigation self-calibration method, which comprises: based on a global system reference beat, feeding forward compensating the physical transmission delay of a heterogeneous bus and the inherent hardware latch delay of an analog-to-digital converter, controlling a micro-electro-mechanical system accelerometer to collect and output a clean vibration acceleration sequence; performing window segmentation on the clean vibration acceleration sequence to extract time-frequency domain features, and synchronously extracting the thermal flow gradient change rate features of the inertial measurement component kernel, and cascading and combining them into a holographic intrinsic state descriptor; the present application aims to solve the problems in the prior art, such as low positioning accuracy and poor stability of the combined navigation system, caused by the problems of the tunneling machine under vibration and impact working conditions, such as non-synchronization of heterogeneous sensor data, vibration rectification error and thermal hysteresis effect caused thereby, model misalignment caused by sudden geological changes, integral error accumulation, and decline of long-period operation model generalization ability.

The invention provides an industrial Internet of Things system based on a vehicle lamp mold and an execution method, and the system comprises a data transmission layer, an equipment layer, and a system application layer, and the data transmission layer is used for achieving data collection, data transmission and data safety; the equipment layer is used for monitoring the mold and interacting with the data transmission layer; and the system application layer is used for realizing full-life-cycle management of a message queue center and equipment. And full-link data closed-loop management is realized through cooperation of the Internet of Things equipment and the cloud. According to the invention, the overall system crash is avoided through modularized independent upgrading and expansion capability; heterogeneous technology stacks are compatible and flexibly adapted; a decentralized high-availability architecture reduces the failover time; and data security and privacy isolation are enhanced, so that the risk of data leakage in supply chain collaboration is reduced.

Embodiments herein describe an integrated circuit (IC) that includes a global ring that interconnects a plurality of local rings distributed throughout the IC. In one embodiment, the global ring is connected to the local ring using respective switches. The global ring (and the switch) interconnects the local rings such that a node coupled to one of the local rings may communicate with a node connected to another local ring.

The application provides a navigation satellite message autonomous integrity monitoring method, which comprises the following steps: calculating first state information at a predetermined time through extrapolation based on historical navigation message parameters of an on-board message, and calculating second state information according to navigation message parameters of a new on-board message on the predetermined time, calculating a first difference between the two; obtaining regional system signals and global system signals on the same time, and calculating corresponding state information and a second difference between the state information; judging whether the first difference and the second difference exceed corresponding alarm thresholds, and if both exceed, generating an alarm information of the message integrity. Thus, the application can realize on-board message autonomous integrity monitoring, can monitor and alarm abnormalities of the message caused by uplink injection, malicious tampering and the like, and prevent error positioning results caused by the error message broadcast to the ground users.

The invention discloses a two-for-one twister spindle speed anomaly detection method based on health layering and a hybrid auto-encoder model, relates to the technical field of yarn twisting, and solves the problem of training data pollution caused by scarcity of industrial field labeled data. Health layering is carried out by mining long-time-history statistical characteristics of a spindle group, and a health core data subset representing an ideal state is automatically screened out for model training. On this basis, a hybrid auto-encoder model fusing a one-dimensional convolutional neural network and a long-short-term memory network is constructed, the hybrid auto-encoder model only performs unsupervised training on purified health data, and real single-spindle local anomaly is stripped from complex global system fluctuation, so that the accuracy of the single-spindle local anomaly is improved, and the accuracy of the single-spindle local anomaly is improved. Therefore, sensitive and accurate detection of various unknown anomalies is realized.

The invention discloses a high-performance time sequence parallel simulation system and method based on a time acceleration and synchronous control mechanism, and belongs to the technical field of high-performance parallel calculation. The system comprises a timing trigger module, a time mapping engine module, a task generation and distribution module, a parallel processing module, a synchronous blocking module, a state aggregation module and a visual output module. By establishing a double-layer time system of physical time takt-simulation time window, a time mapping engine dynamically calculates the number of virtual time steps needing to be propelled according to acceleration multiplied speed, and acceleration mapping of physical time and simulation time is achieved. The parallel processing module executes tasks in a thread pool with a fixed size, and the synchronous blocking module performs unified time sequence control on execution of each thread through a counting synchronizer, so that state consistency and calculation reproducibility under a high-speed operation condition are ensured. And the state aggregation module is used for integrating the synchronized local calculation results and updating the global system state. According to the method, high-speed simulation and high-fidelity playback of large-scale time-dependent data are realized on the premise of not damaging sequential logic, and the modeling verification efficiency and stability of a complex system can be remarkably improved.

The invention provides a GSM-R (Global System for Mobile Communications-Railway) cross-domain coordinated multipoint cluster wireless network simulation method and system, and the method comprises the steps: receiving a call request from at least one vehicle-mounted device for each domain, determining the call request as a circuit domain request or a packet domain request based on the call request, the calling request carries address information and identification information of the vehicle-mounted equipment, local domain address information and identification information of called target ground control equipment, or carries request content and address information of the vehicle-mounted equipment and a target domain name; if the call request is determined to be a circuit domain request, determining whether the call request is cross-domain communication based on identification information of the called target ground control equipment and address identification information stored in the domain; and after the address information of the local domain is reconstructed and the address information of the target ground control equipment of the target domain is determined through the central server, the reconstructed call request is forwarded to the target ground control equipment based on the address information of the target ground control equipment.

The invention discloses a micro-grid group electric energy-warrant hybrid transaction optimization method, which comprises the following steps of: establishing a multi-micro-grid system architecture comprising a virtual operator decision-making layer and a micro-grid optimization layer, and constructing an electricity utilization right and power generation right transaction mechanism based on the architecture; constructing a double-layer game optimization model which comprises an upper-layer virtual operator price decision model and a lower-layer multi-microgrid resource scheduling model; solving the double-layer game optimization model by adopting a mixed solving strategy combining an improved particle swarm optimization algorithm and an fmincon function; and fairly distributing the income of the virtual operator among the multiple micro-grids based on an improved Shapley value method. According to the method, the virtual operator is introduced as a coordination center while the operation autonomy of each micro-grid is guaranteed, the mechanism can effectively aggregate the system flexibility and guide the multiple micro-grids to cooperatively participate in main grid interaction, organic unification of local scheduling autonomy and system global optimization is realized, and the overall operation efficiency and the renewable energy consumption capability are improved.

The present invention relates to the field of clock synchronization, and more specifically to a broadband arbitrary reference adaptive clock synchronization device. An input signal is amplified and shaped to generate two signals. One signal is sent to an FPGA, and the other is sent to an orthogonal power splitter. The mixed signal is then mixed with a local oscillator signal through an orthogonal modulator to generate a mixed signal. The mixed signal is then passed through a fixed frequency divider to generate a frequency-divided signal. This mixed signal is then phase-detected with a DDS output signal to generate an error voltage, which is then passed through a low-pass filter to control a crystal oscillator. The crystal oscillator's output is passed through a coupler to generate two signals. One signal serves as the global system clock, and the other signal is passed through a fixed frequency multiplier to obtain a multiplied signal. The multiplied signal passes through a filter amplifier and then to a power splitter. The power splitter splits the multiplied signal into two signals. One signal serves as the reference clock and generates a corresponding frequency point under the control of the FPGA to generate an output signal. The other signal is passed through an amplifier and serves as the local oscillator signal of the orthogonal modulator. The present invention is suitable for adaptive clock synchronization devices.