48 results about "Autonomous management" patented technology

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 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.

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 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 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.

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.

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 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.

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.

The invention relates to the technical field of electric vehicle charging facility intelligent control, and discloses a reinforcement learning-based charging pile cluster load balancing optimization method and system. The system comprises a digital twinborn simulation module, a data sensing and processing module, a state characterization module, a double-track decision module, a baseline strategy unit, a shadow learning agent, a safety verification and execution module, a double-path reward calculation module, a shadow experience learning and verification module and an online deployment and continuous learning module. Through the self-evolution system normal form of'evaluation-learning-verification-online 'and the dual security isolation design, the autonomous management system for the charging pile cluster, which can continuously improve the performance on the premise of ensuring absolute security, is successfully constructed, and a replicable solution is provided for engineering application of reinforcement learning in a complex industrial scene.

The application discloses an autonomous management method of an optical network, comprising: collecting 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, constructing and updating a virtual mapping corresponding to the physical optical transmission system; in the digital twin, based on the physical layer state data, evaluating the transmission performance of the optical channel and predicting the future state of the optical channel; the autonomous management method and system of the optical network of the embodiment of the application can effectively improve the operation and maintenance efficiency and reduce the demand for manual intervention by constructing an intelligent network management closed loop. The system has a forward-looking risk assessment capability, can avoid potential failures in advance, and significantly enhances the reliability of network operation. At the same time, the continuous improvement of resource utilization efficiency is realized through the autonomous optimization mechanism, which provides a strong guarantee for the long-term stable operation of the optical network.

The invention provides a network unvarnished transmission ad hoc network intelligent AI autonomous control module and a comprehensive management big data acquisition control method and system. The method comprises the following steps: acquiring environment radio frequency energy of a coverage area of a preset network unvarnished transmission ad hoc network; carrying out remote wireless power supply operation on passive sensor nodes in the preset network unvarnished transmission ad hoc network to generate modulation reflection capability; performing reflection modulation on the environment radio frequency energy by using the modulation reflection capability to generate a reflection signal; performing signal conversion on the reflected signal to generate a to-be-processed signal containing the sensing data; performing signal separation on the to-be-processed signal to generate independent sensor data; and the execution time sequence of the remote wireless power supply operation and the sensing data acquisition operation is adjusted, and a cooperative control strategy between energy supply and data acquisition of the control module is generated. According to the invention, collaborative autonomous management of energy and data in a passive Internet of Things scene is realized, system power consumption is reduced, and sustainability of large-scale node networking and data acquisition efficiency are improved.

The invention belongs to the technical field of blockchain technology application, and discloses a binary logic organizational structure system based on a blockchain technology and an operation method thereof.The binary logic organizational structure system comprises a basic element and expansion element double-layer structure, the basic element undertakes compliance supervision and financial overall planning, and the expansion element operates on a chain and is responsible for task execution and autonomous governance; the system introduces a DID, intelligent contract management, a reputation-driven incentive mechanism and a DDI dynamic index model, and constructs an on-chain and off-chain fused organization collaboration architecture. Through multi-dimensional behavior scoring, non-linear incentive distribution, digital twinborn simulation and a community autonomy mechanism, incentive precision, governance transparency and settlement compliance are realized. The method is suitable for decentralized commercial organizations, alliance governance, DAO incubation, cross-border supervision and other scenes.

The application discloses an unattended sensor self-organizing communication system, which comprises a management control center, the management control center is connected with at least one access gateway, and the management control center forms a first-level network; a single access gateway is connected with at least one relay node or sensor node, and the at least one access gateway forms a second-level network; a single relay node is connected with at least one sensor node, and the at least one relay node forms a third-level network; a sensor node is connected with a sensor node or a relay node, and the at least one sensor node forms a fourth-level network; the first-level network, the second-level network and the third-level network are tree structure networks with the management control center of the first-level network as a root node, and the sensor in the fourth-level network is independently used as a leaf node or a plurality of sensor nodes are connected with each other to form an independent and autonomous sensor node network as a leaf node; and the application realizes self-organizing and autonomous management of the communication system.

A method includes: accessing a first image captured at a first time; deriving a first in-stock condition of the slot at the first time based on product units of a product type occupying a slot, depicted in the first image, at the first time based on features detected in the first image; accessing a second image captured at a second, later time; deriving a second out-of-stock condition of the slot at the second time based on features detected in the second image; accessing a back-of-store inventory status of the product type at the second time; and triggering an increase in quantity of facings of the product type at the slot based on a) the first in-stock condition at the slot at the first time, b) the first out-of-stock condition at the slot at the second time, and c) presence of back-of-store inventory of the product type at the second.

The application discloses a kind of mass spectrometer pure hardware instinct management and control system and method, the safety control of mass spectrometer, timing control, data processing core logic are realized by pure hardware circuit, core logic parameter and operating parameter are solidified in one-time nonvolatile memory, and cannot be modified in running process.System contains multiple pure hardware function modules, and the whole process management and control of mass spectrometer are completed by coordination between each module.The application solves the problem that the safety is poor, the response speed is slow and the reliability is low caused by the dependence of existing mass spectrometer control on software system, realizes nanosecond level safety decision and whole process pure hardware autonomous management and control, and significantly improves the safety, reliability and automation degree of mass spectrometer.

The embodiment of the invention discloses a power distribution network autonomous control terminal with a physical security auditing function and a method, and relates to the technical field of intelligent power grids, the terminal comprises a data acquisition module used for acquiring power grid operation state data of a power distribution network and working data of local equipment connected with the power distribution network; the execution module is used for controlling the operation state of the external electrical equipment according to the control instruction; the core control module generates a control instruction locally based on the collected data according to an edge computing strategy; the state detection unit is used for detecting whether the device packaging shell is opened or not and generating a state detection signal; when the core control module receives the state detection signal, a preset safety alarm event is generated and sent to a far-end master station system through the communication module; the terminal integrates a cloud edge collaborative algorithm, has the capability of access calculation of various data, realizes local and intelligent autonomous management of a distributed power supply cluster, and improves the physical security protection capability of an edge control terminal.

The invention relates to a hybrid autonomous management method, program and device for an offshore heterogeneous unmanned cluster, and a storage medium, and belongs to the technical field of unmanned system cluster cooperative control. The system comprises an unmanned ship, an unmanned aerial vehicle and an underwater robot, nodes are divided into a core, an auxiliary core, a regional core and a common node according to physical and capability attributes, and a management module is arranged. The method comprises the following steps: electing a core node through random competition during initialization; during operation, distributed fault detection is performed through a heartbeat mechanism, and competition election or task takeover is triggered when nodes fail so as to realize rapid recovery; when the core nodes actively remove the nodes, the regional core nodes execute task migration and synchronization; node states are kept consistent with global synchronization through local updating and superior reporting. According to the method, adaptation of a framework and a physical platform is achieved, protocol lightweight is achieved, the method has the advantages of being flexible, extensible and high in robustness, and the real-time performance and the self-adaptive capacity of the offshore heterogeneous cluster in a complex environment are effectively improved.

This invention relates to the field of heat exchangers and discloses a heat exchanger that can reduce pipe wear, including a housing. Heat exchange tubes are installed inside the housing. An inlet and a outlet are respectively located at the front and rear ends of the housing. Leak-proof components are installed at both ends of the heat exchange tubes. An anti-wear component is fixedly installed at the end of the anti-leak-proof component furthest from it. This invention provides a heat exchanger that modularly integrates the anti-wear and leak-proof components at the pipe inlet, forming a comprehensive protection mechanism that integrates active flow guidance and speed reduction, leak detection, water pressure-driven positioning, and mechanical self-locking sealing. It adopts a purely mechanical structure, requiring no external power throughout the entire process, achieving full-cycle autonomous management from daily protection to emergency response. Its modular built-in design combines strong adaptability and ease of installation, making it compatible with various heat exchangers and fundamentally improving the inherent safety level of the equipment.

This invention provides a satellite thermal management intelligent control method and system based on a thermal bus, comprising: acquiring on-orbit operation data of the satellite; identifying thermal characteristic parameters of the satellite thermal management system based on the operation data to establish time-varying performance patterns; using a whole-satellite temperature field prediction model and data fusion technology to invert the whole-satellite temperature field from satellite temperature measurement data for temperature field prediction and fault diagnosis; generating a hierarchical autonomous management strategy for the thermal control subsystem based on the whole-satellite energy status, external orbital heat flux, payload operating mode, and whole-satellite temperature field, and controlling the actuators according to the strategy to achieve online control of the thermal control system. This invention, while using the current temperature as a judgment criterion, adds the temperature distribution at future times as a constraint condition. Compared to existing technologies that only adjust based on the current temperature level, this effectively suppresses temperature fluctuations, thereby significantly reducing system energy consumption while ensuring temperature control accuracy.