98 results about "Autonomous management" patented technology

The present invention provides an autonomous computing system for cryptographic asset tokenization, digital currency operations, redemption, detokenization, and full lifecycle management of tokenized assets. The system leverages formal cryptographic proofs, hybrid off-chain and on-chain ledger synchronization, and automated execution protocols to enhance regulatory compliance, asset-backed stability, and operational autonomy. Smart contracts, cryptographic hash-based commitments, and distributed validation mechanisms ensure secure, verifiable, and tamper-resistant transactions across decentralized, centralized, and hybrid environments. The system governs the entire token lifecycle by intrinsically linking asset state validation to both on-chain and off-chain records. Hardware-agnostic cryptographic processing enforces governance rules, validates asset-backed token states, and prevents over-issuance. Real-time integrity checks and automated reconciliation deliver a scalable, cryptographically secured framework for autonomous management of tokenized assets and digital currency transactions, minimizing reliance on intermediaries.

The invention relates to a centralized artificial intelligence engine for a group of process chambers for semiconductor manufacturing. According to the invention, a centralized artificial intelligence engine is introduced in semiconductor manufacturing, and a plurality of process chambers can be managed autonomously. The centralized artificial intelligence engine can dynamically allocate resources, and autonomous generation and real-time adjustment of the process formula are achieved. The subsystem controller converts the process formulas into time sequence control signals, and the delay is optimized. By introducing the digital twinning technology, the efficiency is remarkably improved, the cost is reduced, the adaptability is enhanced, and an advanced solution is provided for autonomous process control in semiconductor manufacturing.

The invention discloses a server management system, a server management method and electronic equipment, and relates to the technical field of computers.In the method, on one hand, edge nodes are arranged in a plurality of different areas respectively, and each edge node is connected with a server in the area where the edge node is located through a first communication line; and connecting a cloud management platform through a second communication line. The edge node can perform autonomous management on the server in the area based on the management information issued by the cloud management platform. The server and the edge node are located in the same area, and the communication delay is short, so that when the server fails, the edge node can timely issue an instruction to perform fault processing, and the fault recovery duration of the server can be shortened. And on the other hand, the theoretical communication rate of the first communication line is higher than the theoretical communication rate of the second communication line, so that the data transmission rate between the server and the edge node can be improved, and the fault recovery duration of the server is further shortened.

The invention discloses an autonomous management method for an optical network, and the method comprises the steps: collecting the physical layer state data of an optical channel through a plurality of sensing nodes in an optical transmission system; synchronizing the physical layer state data to a digital twin, and constructing and updating virtual mapping corresponding to the physical optical transmission system; in the digital twin, the transmission performance of the optical channel is evaluated and the future state of the optical channel is predicted based on the physical layer state data; according to the autonomous management method and system of the optical network provided by the embodiment of the invention, the operation and maintenance efficiency can be effectively improved by constructing an intelligent network management closed loop, and the manual intervention demand is reduced. The system has a prospective risk assessment capability, can avoid potential faults in advance, and significantly enhances the reliability of network operation. Meanwhile, the resource utilization efficiency is continuously improved through an autonomous optimization mechanism, and a powerful guarantee is provided for long-term stable operation of the optical network.

The invention relates to the technical field of network operation and maintenance, in particular to a network health automatic diagnosis and closed-loop repair method and related products, and the method comprises the steps: establishing a dynamic health baseline; abnormal deviation of the real-time operation data is recognized; predicting the risk probability that the network equipment has an operation fault in the future; selecting and executing a corresponding repairing action; verifying whether the abnormal deviation is eliminated; if the abnormal deviation is not eliminated, continuing to execute repair until the abnormal deviation is eliminated or the maximum repair frequency is reached; according to the method, the accuracy and the foresight of network fault diagnosis are improved by deeply fusing the artificial intelligence algorithm into a network operation and maintenance scene, and the intelligent and autonomous management of the network is realized by introducing a closed-loop repair mechanism with autonomous learning and decision-making capabilities. And the reliability, the stability and the self-repairing capability of the whole network infrastructure are enhanced.

A method and apparatus for autonomous container management configuration changes to container clusters during runtime and autonomous configuration-based release orchestration. A release manager manages a staggered feature release that includes staggers, stagger order, and container clusters included in each stagger. A logging service manages logs generated by the container clusters and / or app containers. An update service determines container management configuration changes based on analysis of data provided by the logging service. A shared engine attempts to implement instructions provided by the release manager and the update service at different times. The release manager receives an indication of success or failure of the attempted deployment of the feature release to the current stagger. The release manager, responsive to the indication of success or failure, determines to perform one of a plurality of actions, including attempting to deploy the feature release to the next stagger, and rolling back.

The invention discloses a satellite constellation autonomous deployment method and system, belongs to the technical field of aerospace orbit control, and solves the problems of long deployment period, high personnel investment, slow collision avoidance response, increased orbit safety risk and the like caused by a traditional satellite deployment method. The method comprises the following steps: constructing a constellation network according to initial orbit parameters of a satellite and orbit injection time and orbit parameters of different stages; outputting an optimal deployment strategy of each stage of the constellation through a genetic algorithm; the right ascension of the ascending node and the phase are adjusted to a target position together while the height is deployed in place through a coupling equation, and ignition constraints are constructed; generating an orbital transfer plan according to the thrust and a satellite initial orbit needing to be deployed; an orbital transfer instruction is automatically generated according to the orbital transfer plan; according to on-orbit telemetering, the orbital transfer progress condition is judged, and strategy closed-loop adjustment is carried out; cooperative deployment of multi-orbit-plane satellites is achieved, and fuel and time cost are saved. The method is particularly suitable for multi-orbit-plane collaborative deployment and autonomous management of large-scale satellite constellations.

The invention discloses a switching communication device, a switching communication method and a server, relates to the technical field of computers, and realizes equipment-level decoupling and resource pooling basis by actively managing a GPU (Graphics Processing Unit) through a second interface configured to be in a root complex mode. The on-chip management system and the switching logic module form a control core, a data switching strategy is dynamically executed, and conversion from passive forwarding to autonomous management is achieved. And the virtual port module performs software definition and dynamic allocation on network resources, so that the flexibility of resource utilization is improved. Meanwhile, MAC ports in two modes of direct connection and exchange are supported, so that the device can flexibly construct a high-performance direct connection network or a large-scale exchange network, and the limitation of fixed topology is broken through. And the data processing module ensures high efficiency of data conversion between different interface protocols. According to the device, the communication efficiency and schedulability between the GPUs are improved by integrating high-speed exchange, intelligent management, resource virtualization and flexible networking capabilities.

Technologies disclosed herein provide for a multi-device host controller to emulate a first embedded device of a plurality of embedded devices of a computing system. Emulating an embedded device includes generating a descriptor based on a Universal Serial Bus (USB) protocol and on peripheral configuration information associated with the first embedded device. The peripheral configuration information is pre-programmed for the multi-device host controller. The multi-device host controller provides the first descriptor to a software stack running on a processor of the computing system. The first embedded device operates according to a Universal Serial Bus (USB) protocol or a non-USB protocol. The multi-device host controller can further take an action to autonomously manage the first embedded device based on one or more inputs received from one or more other embedded devices connected to the multi-device host controller.

The application discloses a reconfigurable agricultural robot system based on a general platform and automatic recombination. The robot general mechanism of the system is composed of independent mechanical arms, actuators, a body main module and a motion module, and the modules are connected with each other through detachable general interface modules. The robot recombination mechanism is composed of a motion recombination module and arm-hand recombination modules, and is used for splitting, assembling and recombining the robot general mechanism. The two arm-hand recombination modules are symmetrically installed in the motion recombination module. The application can improve the comprehensive utilization efficiency and working efficiency of the agricultural robot, realize single robot covering multi-link tasks in agricultural production, strengthen the motion adaptability of the agricultural robot in different working environments, adapt to various terrain motion requirements, expand the working range of the agricultural robot, achieve multi-task and multi-thread operation targets, realize autonomous management of agricultural production, and efficiently guide agricultural operation with the aid of an intelligent system.

The invention provides a data life cycle autonomous management method and system based on source data feature perception. The method comprises the following steps: defining a basic attribute of target data in the storage system as a triple theta = (t, l, i); establishing a mapping protocol of the source data and the target data; monitoring the change frequency omega of the source data in real time, and executing the following cycle matching algorithm: setting that the life cycle variable and the change frequency of the source data meet an inverse relation t = k / omega, shortening t to improve the sampling precision of the digital clock when omega is increased, and prolonging t to reduce the sampling precision when omega is reduced; and automatically converting the calculated life cycle variable value into a control instruction. According to the method, the data life cycle can be converted into a dynamically programmable variable, low-power-consumption and high-precision response can be realized through hardware acceleration, or a flexible and low-cost management scheme can be realized through software scheduling.

The invention provides a satellite integrated electronic information management method, system and device and a storage medium wherein a navigation unit generates a time service pulse per second, and sends the time service pulse per second and current Greenwich time data to a time frequency management unit through a central processing unit; the time-frequency management unit tames the pulse per second to generate a homologous reference clock and outputs the homologous reference clock to other single machines of the satellite; the central processing unit interface expansion module collects other single-machine state parameters and reports the state parameters to the central processing unit; the central processing unit maintains high-precision synchronization of satellite system time based on time data and pulse per second, and integrates state parameters to generate an instruction; the interface expansion module receives and executes the thermal control and power management instruction, and regulates and controls operation conditions of other single machines; the self-management and data storage unit receives and executes the data processing and dispatching instruction, and on-orbit intelligent calculation, large-capacity data storage management and other single-machine on-orbit software reconstruction are achieved. By adopting the method, the time sequence uniformity and the control accuracy of the whole system can be ensured.

This invention provides an autonomous management and scheduling system for high-throughput chemical experimental robots based on digital twins, relating to the field of robot control technology. It includes a digital twin unit and a production execution unit. The production execution unit inputs production instructions and outputs a first production instruction signal. Based on the first and second production instruction signals, the production execution unit controls the robot to perform chemical experimental operations. The production execution unit feeds back the production result signal to the digital twin unit. This invention continuously collects overall operational and simulation data of the high-throughput chemical experiment through the digital twin unit, continuously improves the equipment twin model related to the entire experiment, and then interacts with the production execution unit. This provides data support for improving the efficiency of high-throughput chemical experiments and the output of experimental samples, and also provides a foundation for decision optimization of the entire system.

The invention provides a storage and transportation UWB combined positioning autonomous management system and method. The method comprises the following steps: distributing a modular storage subsystem, setting a plurality of assembled module bins adaptive to a modular split storage space, and constructing a module bin assembly group; the hierarchical logistics transportation subsystem is used for transporting a plurality of assembled module bins to a module bin assembly group transfer station through a UWB positioning transportation device, assembling module bin assembly groups and sub-packaging the module bin assembly groups to transportation tools with corresponding loading capacities; according to the UWB combined positioning subsystem, a UWB positioning antenna is arranged in a splicing module bin body, a UWB positioning antenna array is formed by splicing groups, and a UWB positioning base station is arranged; the integrated autonomous management subsystem is used for counting the storage cost of the module warehouse body assembly group transfer station and the module warehouse body assembly group transportation center; counting the logistics transportation cost, and performing multi-level mobile storage and transportation UWB combined positioning intelligent management to form a multi-level mobile storage and transportation UWB combined positioning intelligent management system.

The technology described herein is directed towards accurate low-complexity decision tree-based traffic predictor models, such as decision tree regressor models for use by base stations. Each model is rapidly retrained per base station using data relevant to the base station. To improve accuracy, statistically significant feature data is selected by performing hypothesis testing on candidate features to filter out features that cannot satisfy a statistical significance threshold (e.g., p-value). The decision tree regressor model is recursively grown based on the selected features' feature values and their traffic level labels. Predicted traffic level data is determined by traversing the trained decision tree to reach a leaf node associated with the prediction data. Resource allocation can be based on the prediction. In addition to time-series training data, spatial training data can be used. Real time traffic monitoring by a radio unit for operating in an autonomous management mode is also facilitated.

The present application relates to the technical field of multi-agent enterprise autonomy management, in particular to a human-computer dual-sovereignty enterprise autonomy management system and method based on four AI centers; the system comprises a planning center, a decision-making center, an execution center and an evolution center; the planning center constructs a hierarchical constraint matrix group and performs reversible constraint reduction processing, generates a folding governance core and a constraint source mapping chain; the decision-making center generates an item execution sequence, a resource allocation table and an artificial confirmation node table; the execution center forms an execution state record set; the evolution center calculates a constraint bearing deviation vector and performs inverse reduction deviation write-back processing, outputs a constraint correction vector, an authorized boundary correction table and a governance sequence reconstruction instruction. The present application is used for realizing constraint reduction, execution control and deviation write-back correction in the enterprise autonomy management process.

The application discloses a kind of particle management method and system in PIC / MCC simulation based on GPU architecture.The method preallocates continuous video memory storage particle attribute and state variable at GPU device end;When new particle is generated, thread appends attribute at the end of array and is marked as active;Need to delete particle only mark as non-active without immediately removing;Periodically, active particle is compressed to continuous area by parallel scanning and prefix sum algorithm, and non-active particle is filtered;After compression, update particle index mapping table to ensure correct access of subsequent module.Atomic operation is used in the process to ensure parallel writing safety and data consistency.The system realizes autonomous management of particle at GPU end, effectively solves memory fragmentation, access conflict and low efficiency of dynamic update, significantly improves storage continuity, access efficiency and simulation speed, and is suitable for high-performance PIC / MCC simulation such as plasma discharge in all dimensions and arc simulation.

A mobile device includes a processor and memory, coupled to the processor, which memory contains instructions that when executed cause the processor to provide an autonomy management application. The autonomy management application includes an autonomy approval function. The autonomy approval function provides a user interface configured to display at least one aspect of an autonomy job to a user and receive user acceptance of the autonomy job. The autonomy approval function is configured to instruct the user to move within a pre-determined distance from an autonomous work machine that will execute the autonomy job and provide a machine-verified indication of user proximity within the pre-determined distance. The autonomy approval function includes a begin mission user interface element displayable after verification that a user has moved within the pre-determined distance of the autonomous work machine, which begin mission user interface element, when selected, causes the autonomy approval function to initiate motion. A computer-implemented method is also provided.

The invention discloses a minimum number management system for deep space probe resource limitation. The minimum number management system comprises a processing module and a power distribution module which are located in a reentry capsule, wherein the power distribution module is responsible for supplying power to electronic equipment in the cabin and completing primary power supply combination, primary power distribution and control of a heater safety switch and a grounding switch; the power distribution module receives primary power input in the detectors or between the detectors, outputs primary power distribution to the inward processing module, and outputs primary power distribution and instruction power to other terminals in the detectors. Meanwhile, a safety switch of a heater control circuit of the processing module is controlled, and local state telemetering is externally output for inter-device state monitoring; the processing module receives the primary power supply input of the power distribution module and realizes secondary power supply conversion and power distribution; bus instruction input among detectors or in the detectors and external analog quantity, temperature quantity and passive switching quantity input are received, control instructions are output after logic processing, and data management and autonomous management are achieved at the same time.

The application discloses a kind of switching communication device and method, server, it is related to computer technical field, by being configured as the second interface of root complex mode actively manages GPU, equipment level decoupling and resource poolization foundation are realized.The on-chip management system and switching logic module constitute control core, dynamically execute data exchange strategy, realize from passive forwarding to the change of autonomous management.Virtual port module carries out software definition and dynamic allocation to network resource, improve the flexibility of resource utilization.Meanwhile, support the MAC port of two modes of direct connection and switching, so that device can flexibly build high-performance direct connection network or large-scale switching network, break the limit of fixed topology.Data processing module then ensures the efficiency of data conversion between different interface protocols.The device improves the communication efficiency and schedulability between GPUs by integrating high-speed switching, intelligent management, resource virtualization and flexible networking capabilities.

The application discloses a kind of intelligent robot multitask full autonomous management methods of supporting environmental interaction.The application software architecture applied to robot includes main module, data acquisition module, monitoring module, image sending module, perception planning module, mobile module, viewfinder module, visual navigation module and data sending module;Method includes: the task type of main module, data acquisition module and monitoring module is determined as normal task, the task type of other module is determined as abnormal task;Real-time acquisition measured data perceived by sensor using data acquisition module and save;Real-time monitoring instruction sent by outside using monitoring module;According to preset scheduling period, using main module to judge whether the module of task type abnormal task reaches trigger condition;If yes, make each triggered module execute corresponding task;If not, make each untriggered module keep blocked state and wait for trigger.The present application can improve the execution efficiency of robot.

This invention provides a comprehensive platform that integrates 3D virtual tours with a multi-agent Al-driven system for enhanced user engagement, scalability, and autonomous management. The platform includes a 3D Virtual Tour Generator that captures and renders physical spaces into interactive, high-resolution 3D environments. A network of specialized Al agents - including a Platform Guide Agent, Customer-Specific Agents, Visitor Assistant Agents, Compliance Agents, and Engagement and Marketing Agents - drives the platform's interactive capabilities. These agents are powered by distributed knowledge bases, enabling them to provide context-aware assistance, real-time responses, and proactive user guidance. The platform supports self-management, allowing businesses to create and control their digital presence, including configuring Customer-Specific Agents. Additionally, agent-to-agent interactions facilitate continuous learning, platform maintenance, and improvement. The invention is designed for various applications, including real estate, education, tourism, and retail, offering a human-centric, scalable solution that enhances virtual tours and provides autonomous, high-quality information 24 / 7, reducing reliance on human guides.

The application discloses a kind of micro-nano satellite angular momentum autonomous management method, belongs to satellite attitude control technical field.The application is in view of the problem that existing satellite angular momentum management adopts open loop method, and autonomous correction capability is poor.The application comprises: satellite is identified through on-orbit flywheel rotating speed data environment torque parameter autonomously, and parameter that changes speed is faster is updated autonomously along with task time extension;Only through the attitude bias of relative sun orientation and sail rotation, angular momentum accumulation inhibition and angular momentum unloading two task objectives can be realized by manipulating environment torque, without active control torque intervention such as magnetic torque device, jet unloading;The whole process does not need artificial intervention, and angular momentum autonomous management is realized.The application can be autonomously carried out when satellite has no task, and reliability is good.

The invention provides an intersection overflow autonomous management control method based on a large model, and the method comprises the steps: building a basic database, a traffic management knowledge base and a police management and control strategy base, determining the mutual association relation, and estimating whether the next phase is likely to overflow or not according to the overflow conditions of three historical signal periods of signal control data. If an overflow event does not occur in three historical signal periods, it is considered that overflow does not occur in the next phase, otherwise, overflow occurs in the next phase, and whether the phase release lane leads to an overflow exit lane is judged according to the allowing lane and the overflow exit lane ID, if yes, the decision moment is determined, and if not, the decision moment is determined; and constructing prompt words for the next phase based on the database, recording an intersection state, training an overflow management and control large model, and realizing intersection overflow autonomous management and control by using the overflow management and control large model. According to the method, the overflow control large model is trained in combination with empirical data such as traffic control experience, traffic control rules and control strategies, and the response speed for the intersection overflow problem is increased.

The invention discloses an intelligent parking lock management system based on multi-agent collaborative scheduling, and the system comprises the following modules: a parking lock node module which is used for deploying a plurality of parking lock nodes, calculating a bid value, and generating a bid data packet; the topology construction module is used for establishing and maintaining a parking lock adjacency topological graph; the belief injection module is used for generating a belief data structure and broadcasting the belief data structure to the parking lock node in the target area; the regional scheduling module is used for receiving the bid data packet, executing an auction type matching algorithm, selecting a main lock, a guide lock and a proxy lock, and managing a candidate node pool and a scheduling role reconstruction mechanism; the task execution and feedback mechanism is used for executing lock lifting operation by the bid-winning parking lock node and sending a task feedback signal, and the non-bid-winning parking lock node enters a monitoring mode; and the scheduling storage module is used for recording bid history, task execution information and abnormal events. According to the invention, multi-agent cooperation and auction type matching algorithms are fused, and autonomous management and fault-tolerant cooperation of the parking lock are realized.

[Problem] To provide a mechanism that enables a "thing" in the real world to autonomously operate in a cyber space and to support decision making by the "thing" that is autonomously managed. [Solution] A cyber-physical system according to an embodiment of the present invention is provided with: a virtual decision management unit and a support field management unit that prepare, in a cyber space, thought models corresponding to a thing in the real world and a support field model forming a support area in which a plurality of thought models can participate. On the basis of status information of each of the participating thought models, the support field model generates an action plan constituted of actions to be executed by the thought model and provides the action plan to the thought model. Each of the thought models receives the action plan and selects an action to be executed on the basis of the result of evaluation processing based on autonomous thought characteristics.

The invention provides a satellite-borne network management data service quality guarantee method, a satellite-borne autonomous management component, a satellite-borne autonomous management system, a satellite-borne base station and a medium, and the method comprises the steps: receiving a transmission request of network management plane data, determining a corresponding service quality strategy according to the parameter, and transmitting the corresponding service quality strategy to a baseband processing unit of the satellite-borne base station, and driving to establish a scheduling context independent of the user plane data for the network management plane data. And the actual transmission rate and the satellite-ground link bit error rate are monitored in real time according to the scheduling context transmission data. Executing transmission adjustment according to a monitoring result; dynamically adjusting a guaranteed bandwidth parameter in a service quality strategy based on an actual transmission rate, and changing resource allocation of a scheduling context; or adjusting the congestion control parameter of the network management plane data according to the link condition information based on the bit error rate. By adopting the method, the timeliness and reliability of NMS data transmission can be ensured to meet the strict requirements of satellite-borne network operation and maintenance, and the transmission guarantee capability of satellite-borne network management data is comprehensively improved.

A data structure is disclosed that maintains a continuously growing list of records, or blocks, in a blockchain format. The data structure may be distributed using peer-to-peer and cryptographic techniques. The data of each record is resistant to modification in that once recorded the data may not be altered retroactively. The data structure serves as a public ledger for all transactions and may be managed autonomously.

The application discloses a data autonomous management method and system based on artificial intelligence, and a device thereof, and the method comprises the following steps: accessing to the data to be managed according to the detected data management demand, and performing a data preprocessing operation including first data cleaning and format conversion on the data to be managed to obtain preprocessed data; performing data difference analysis on the preprocessed data according to a pre-trained data management large model to obtain a difference analysis result; when the data difference analysis result indicates that there is target difference data meeting a preset data autonomous management condition in the preprocessed data, generating a data management path for the target difference data according to a path planning algorithm combined with the data autonomous management condition; performing a data management operation on the target difference data according to the data management path to obtain a data management result, and outputting a data management document for the target difference data and the data management result. It can be seen that the application can improve the efficiency, accuracy and standardization of data management.