157 results about "Autonomous management" patented technology

The invention discloses an unmanned aerial vehicle group distributed management method based on a mobile active secret sharing technology, which supports off-line of a trusted institution and comprises the following steps: the trusted institution TA generates public parameters; a mobile base station MS and an unmanned aerial vehicle UAV participating in communication respectively register with a trusted mechanism in a registration stage, and acquire information such as a secret key and a certificate; the UAV joins the MS and is administered by the MS, and after mutual identity authentication, the MS distributes secret shares to the UAV; performing identity authentication on the unmanned aerial vehicle group; the unmanned aerial vehicles of the two groups share the share, group fusion is achieved, and after a new share is obtained, each unmanned aerial vehicle updates the certificate of the unmanned aerial vehicle. According to the method, the sub-secrets of the unmanned aerial vehicles are autonomously updated through a mobile active secret sharing technology, and fusion of completely decentralized unmanned aerial vehicle groups is realized. Secondly, an efficient certificate self-updating method is designed. The unmanned aerial vehicle can update the certificate only by calculating a threshold signature. Detailed safety certification and comprehensive experiments show that dynamic autonomous management of the distributed unmanned aerial vehicle group can be realized, and the method has good safety characteristics and relatively low calculation overhead.

A system for autonomously managing resupply of consumable resources for a mobile unit includes sensors that monitor a level of a consumable resource for each entity in the unit. A network of tags communicates via short-range magnetic communications links. A local node provides a long-range RF communication link to communicate with a global node. Together the network of tags, local node and global node initiate a local resupply of the consumable resource to one or more entities from other entities within the mobile unit and a global resupply of the mobile unit from the one or more depots. The network of sensors / tags automates the task of monitoring resource levels and managing resupply. The use of the magnetic portion of the EM spectrum for local communications within the mobile unit overcomes the issues associated with RF in harsh or hostile environments.

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 discloses an intelligent robot multi-task full-autonomous management method supporting environment interaction. The system is applied to an application software architecture of a robot, and the architecture comprises a main module, a data acquisition module, a monitoring module, an image sending module, a sensing planning module, a moving module, a view finding module, a visual navigation module and a data sending module. The method comprises the following steps: determining task types of a main module, a data acquisition module and a monitoring module as normal tasks, and determining task types of other modules as abnormal tasks; the data acquisition module is used for acquiring measurement data sensed by the sensor in real time and storing the measurement data; monitoring an instruction sent by the outside in real time by using a monitoring module; according to a preset scheduling cycle, judging whether the module of which the task type is an abnormal task meets a triggering condition or not by utilizing the main module; if yes, enabling each triggered module to execute a corresponding task; and if not, keeping each untriggered module in a blocked state and waiting for triggering. The execution efficiency of the robot can be improved.

The invention discloses a distributed multi-level organization data space construction method and device based on a tree structure. The method comprises the following steps of: 1) constructing a data space node with autonomous management capability, which has independent operation capability and data autonomous characteristics and has native control right on data of a data space to which the data space node belongs; 2) deploying spatial network coordination nodes by using a spatial network coordination node device; 3) registering the data space node to a space network coordination node, and constructing a distributed space communication network; 4) constructing a multi-level data space tree topology based on the organization hierarchical relationship, and forming a tree structure multi-level organization data space; and 5) based on the management network of the tree structure, implementing a three-power discrete control mechanism of data control power, management power and use power, and supporting cross-domain data sharing. According to the method, data complex strip block management of huge complex organizations in the real world is mapped into a tree structure, control over the management right, the control right and the use right is achieved on the basis of the tree structure, and therefore efficient circulation and collaborative management of data among multi-level organizations are achieved.

A method for autonomously managing cooling down of a heat exchanger is provided. The method includes providing a machine learning algorithm trained using a training data set to solve an optimization problem. The training data set includes a surrogate model of a heat exchanger. The optimization problem, includes (i) an objective to be met by a solution of the optimization problem, the objective being minimizing the rate of cooling; (ii) a plurality of manipulated variables (MV's) including flow rates of refrigerant fluid and process fluid, where the solution includes values of MVs selected to meet the objective, and (iii) at least one constraint with which the solution complies, where the at least one constraint includes a flow rate limit of the heat exchanger. The method further includes managing cool down of the heat exchanger by the machine learning algorithm solving the optimization problem to provide values for the manipulated variables.

The invention discloses an Internet data security protection method and system based on an artificial intelligence algorithm, and belongs to the technical field of data security protection. Performing supervision and data processing on behaviors of implementing permission applications by different mobile phone software in a target use process to obtain behavior supervision processing data corresponding to different permission applications by different mobile phone software, and performing data processing and analysis on the mobile phone software at a mobile phone software level and a permission type level. Pertinent authority application data security protection management is carried out on different mobile phone software and different authority types according to an analysis result, so that the active supervision effect and the active processing protection effect of mobile internet data security protection at the mobile phone software level are improved; the method is used for solving the technical problems that in an existing scheme, the mobile phone software permission application autonomous supervision processing effect for the mobile internet is poor, and the security protection autonomous management and control effect is poor.

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.

Loading and unloading pallets in a trailer using an autonomous mobile robot. The method involves the robot determining the pose of the trailer and using sensor data to navigate to goal positions inside the trailer for precise pallet placement or retrieval. During loading, the robot side-shifts the fork to align the pallet with the trailer's side wall and retracts the fork to prevent scraping before advancing to a second goal position to release the pallet. For unloading, the robot identifies the pose of the target pallet, navigates to align the fork, lifts the pallet, and proceeds to a drop-off location. In scenarios where space within the trailer is limited, the robot adjusts its movements to avoid scraping and maximize clearance, ensuring efficient loading or unloading operations. The method enables autonomous management of the first or last rows of pallets even in confined spaces.

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 a contractor management method and system, computer equipment and a storage medium. The method comprises the following steps: a large-scale enterprise internal staff uses a target owner account to distribute a target super-management account for one or more contractors, and the target super-management account has a sub-account distribution permission, that is, the target contractors are guided to distribute and supervise the contractor accounts according to actual demands; a part of basic function authority is opened to a target contractor, a docking party of a target contractor business only has a target super-management account and a target owner account, contractor personnel corresponding to the target super-management account are guided to perform internal autonomous management, and the target contractor is guided to split the target contractor business to each contractor account. The target contractor is reminded of the execution mode and the expected effect of the contractor business by issuing the business prompt information, so that the target contractor is assisted to perform reasonable management according to the business prompt information.

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 relates to a data storage system, in particular to an autonomous management system and method for patient data. The patient end comprises a data acquisition module which is used for acquiring original data and converting the original data into structured data; the data integration module is used for carrying out data standardization and data normalization on the structured data; the data storage module is used for encrypting and storing the structured data; and the data analysis module is used for analyzing the structured data and generating a visual chart and risk assessment information. Compared with the prior art, the problems that in the prior art, a patient does not have the ability to regularize data, and a doctor does not have the ability to grasp complete historical data of the patient are solved, data of the whole life cycle of the patient can be integrated and analyzed, the doctor can comprehensively grasp the health dynamic state of the patient, and the patient experience is improved. Important support is provided for precise diagnosis and treatment of ovarian cancer.

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.

Autonomous management of risk transfer is provided using an automated underwriting processor that creates a contract block by compiling the request into a computational graph-based format, links the contract block to the requester, stores the contract block into memory, retrieves a plurality of available underwriting agreements from memory, and creates an offer list by perform computational graph operations on the contract block to determine viable risk-transfer agreements; and presenting the offer list to the requester.

The present disclosure relates to a method for autonomous management and control in a quantum key distribution network and a device therefor. A method performed by an apparatus including a first entity in a QKDN supporting AMC according to one aspect of the present disclosure may include: collecting first data from a second entity; determining whether a first ML model available for analyzing the first data exists; generating a control action, wherein i) if the first ML model exists, the control action is generated by analyzing the first data using the first ML model, and ii) if the first ML model does not exist, the control action is generated by analyzing second data collected from the second entity using a second ML model received from a third entity; and requesting the second entity to apply the control action.

Disclosed herein is a system comprised of two components: a plurality of sensors and a controller. This plurality of sensors, which can be installed in a variety of locations, are capable of measuring parameters such as temperature, humidity, pressure, vibration, angle, vertical and horizontal magnetic orientation, inclination, and displacement and acceleration of displacement across coordinate axes. The controller is designed to read the data from these sensors and connect to other devices for control during crisis situations (like controlling elevators, gas and water outlets, etc.). The controller can autonomously manage conditions as needed. Furthermore, the controller, equipped with various ports like Bluetooth, Wi-Fi, and USB, can connect to a computer. The sensors, which are packaged in a coin-like form, can be embedded in concrete and other materials or connected adjacently. They can measure parameters and transmit them to the controller.

The invention discloses an energy control system of a digital satellite and an autonomous management method thereof, and the energy control system comprises a redundant computer group and a power supply and distribution management module, and can perform autonomous management. Wherein the redundant computer group comprises at least two heterogeneous computers, the at least two heterogeneous computers are hot backups for each other, each heterogeneous computer has a main energy management function and a satellite service management function, and the power supply and distribution management module is in communication connection with the redundant computer group through an I2C bus. Through the heterogeneous redundant computer group, a centralized control strategy is realized, and processor configuration can be simplified. And by adopting the I2C bus, the complexity of a hardware circuit is reduced, the weight and the size of the system are reduced, and the reliability and the maintainability of the system are improved.

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.

A system for autonomously managing resupply of consumable resources for a mobile unit includes sensors that monitor a level of a consumable resource for each entity in the unit. A network of tags communicates via short-range magnetic communications links. A local node provides a long-range RF communication link to communicate with a global node. Together the network of tags, local node and global node initiate a local resupply of the consumable resource to one or more entities from other entities within the mobile unit and a global resupply of the mobile unit from the one or more depots. The network of sensors / tags automates the task of monitoring resource levels and managing resupply. The use of the magnetic portion of the EM spectrum for local communications within the mobile unit overcomes the issues associated with RF in harsh or hostile environments.

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.