220 results about "Information center" patented technology

Described herein are techniques for secure orchestration and publication control among agents (e.g., distributed agents), such as non-human identities (NHI), using cryptographic certificates, trust rules, and / or an Information-Centric Networking (ICN) architecture. In an example, a framework establishes identity for human and non-human identities-such as AI agents, services, and autonomous workloads—via cryptographically signed publications and / or collections. Trust policies can be defined and enforced through signed, verifiable trust rules, enabling access control, provenance validation, and / or policy delegation across federated domains. The disclosed techniques can enable multi-agent systems (MAS), zero-trust enforcement, and / or secure cross-domain communication using ICN-named role-based certificates and programmable trust shims. The disclosed techniques can also enable decentralized validation and selective replication of data while maintaining traceability and fine-grained control of agent behavior.

The invention relates to the technical field of information center machine rooms, in particular to an intelligent early warning management system and method for an information center machine room. The system is composed of a data acquisition module, a data preprocessing module, an intelligent analysis module, an early warning decision module and an interactive response interface, and the data acquisition module collects various environmental parameter data and equipment operation state data in real time through a sensor of a central machine room; the data preprocessing module is used for cleaning, denoising and complementing environment parameter data and equipment operation state data, the intelligent analysis module is used for establishing a multi-parameter correlation analysis model and identifying an abnormal mode and potential risks by using a graph model algorithm, and the early warning decision module is used for automatically generating an early warning signal based on an output result of the intelligent analysis module. A diagnosis report and suggested measures are provided according to the early warning level, and the interactive response interface displays early warning information and real-time data. According to the invention, early signs of data change of the information center machine room can be captured, early warning is carried out in advance, and occurrence of sudden faults is reduced.

The invention provides a large model processing method and device based on distributed cache, equipment and a medium, and relates to the technical field of large language models and data processing in artificial intelligence. According to the specific implementation scheme, a center scheduling service receives response information sent by a large model service, the center scheduling service writes the response information into a kafka service based on network load information obtained in advance, and for each Redis cache in at least one Redis cache, the response information in the kafka service is consumed and locally cached. By means of the method, the concurrent processing capacity, the load balancing and expansibility and the data reliability and durability of the system are improved, the user experience is optimized, and the number of users supported by the service can be remarkably increased.

An industrial information hub (IDH) serves as a single industrial ecosystem platform where multiple participants can deliver repeatable and standardized services relevant to their core competencies. The IIH system is centered around the development of an ecosystem that creates and delivers value to users—including industrial enterprises, OEMs, system integrators, vendors, etc.—through the aggregation of digital content and domain expertise. The IIH system serves as a trusted information broker between the ecosystem and the OT environments of plant facilities, and provides a platform for connecting assets, contextualizing asset data and providing secure access to the ecosystem. Additionally, the IIH system provides tools and support to OEMs and other subject matter experts, allowing those experts to enable their digital assets for use in the ecosystem. The IIH system reduces the cost and risks for digital transformation of industrial assets.

The invention provides a construction method of a central architecture diagram and an architecture diagram construction system. The method can be applied to an architecture graph construction system, so that a central architecture graph with a better visualization effect is generated. Specifically, the architecture graph construction system obtains a plurality of pieces of entity information and a relationship among the plurality of pieces of entity information, and then determines first entity information, where the first entity information is one of the plurality of pieces of entity information. Afterwards, the architecture graph construction system constructs a center architecture graph according to the first entity information and the relation between the multiple pieces of entity information and displays the center architecture graph, a center node in the center architecture graph is used for indicating the first entity information, and the center architecture graph further comprises multiple annular layers with the center node as the center; each annular layer comprises at least one node, and the nodes of different annular layers have different relationships with the central node.

The invention belongs to the technical field of engineering safety, and particularly relates to a road collapse monitoring and early warning system and early warning method. A high-sensitivity collapse measuring device, such as a measuring box and a measuring cone, is buried in a road base, so that soil settlement and temperature and humidity changes are monitored in real time, and data are transmitted to an information center for analysis. Risks are evaluated in real time by using an artificial intelligence technology, and a multi-channel early warning mechanism is started immediately once an abnormal condition is detected. Comprising an underground part; the underground part comprises a collapse measuring box and a collapse measuring cone. And the collapse measuring box is provided with an alarm sliding bus tube and an annular bus trigger. The alarm sliding bus tube is located in the collapse measuring box, and a network cable and a power line are connected above the alarm sliding bus tube. And the annular bus trigger is used for touching different parts of the alarm lamp sliding trigger ring. The collapse measuring cone is matched with the collapse measuring box for use; the collapse measuring cones are connected with a binding wire, and the binding wire enters the collapse measuring box and is connected to an alarm sliding main pipe of the collapse measuring box.

The invention discloses an emergency auxiliary decision-making system based on a large model agent and multiple knowledge bases, and the system comprises an input end which is used for obtaining patient information from multiple dimensions; the central processing module is used for intelligent agents of different scenes to construct based on different large models and cue word projects, and calling at an output server of the system through an embedded structure; the knowledge base comprises a knowledge graph base and a retrieval enhancement generation document base, a knowledge graph stock structured rule ensures reliable decision, and a retrieval enhancement generation document stock unstructured text realizes dynamic knowledge fusion; and the service node stores knowledge according to a fault-tolerant demand menu library or double libraries and outputs the knowledge to the server side. The server side comprises an intelligent triage auxiliary module and an intelligent diagnosis auxiliary module, and provides assistance in a mode of calling an intelligent agent service. The method has the advantages that the triage efficiency is improved, the triage decision-making time of nurses is shortened, the medical history combing and examination scheme making time of doctors is shortened, the reliability of medical decision-making is ensured, and the maintenance cost is lower.

The invention discloses a rapid detection and early warning system for a special vehicle, and particularly relates to the field of intelligent traffic supervision, which comprises a monitoring front end, a rear end server and an information center, wherein the monitoring front end comprises three cameras and one laser radar which are connected with the data processing unit of the rear-end server through the switch, and the data processing unit performs algorithm reasoning on road image information and 3D point cloud information collected by the front end to obtain vehicle target detection and behavior early warning information. With the gradual maturity of technologies such as computer vision, image processing, 3D target detection and the like, a mode of acquiring road vehicle information through a monitoring video and laser radar fused detection system is deeply studied. The two sensors are utilized to design the rapid detection and early warning system for the special transport vehicle for intelligent traffic to carry out real-time online supervision on a road target, so that the road safety can be effectively improved, and reliable data support is provided for global scheduling of the road.

The present invention discloses a distributed privacy computing networking node management method and system, the method comprising the following steps: the computing node obtains the first private key fragment to generate a node temporary public key, and sends registration information to the central node; after the central node registration verification is passed, the authorization public key and the second private key fragment are calculated and returned to the computing node; the computing node constructs the computing node private key according to the first private key fragment and the second private key fragment, and uses the computing node private key to generate a self-signature to construct an access authentication request; after the central node signature verification is passed, a virtual address is assigned to the computing node, and a node list containing all computing nodes is synchronized; the computing node configures a virtual network to connect the central node and other computing nodes according to the assigned virtual address; the computing node calculates the shared key with each other computing node to encrypt the data in the communication process. The present invention can enhance cross-institutional trust, enhance communication security and reduce operation and maintenance costs.

The invention discloses a sample processing method, device and system and a storage medium, relates to the technical field of machine learning, and is used for improving the robustness and generalization ability of a network model and solving the problem of poor robustness of a network model of a neural network in related technologies. The method comprises the steps that a child node sends sample information of at least one sample to a center node, the center node receives the sample information of the at least one sample from the child node, then for each sample, indication information of the sample is generated based on the sample information of the sample, and the indication information of the at least one sample is sent to the child node, and after receiving the indication information for at least one sample from the central node, the child node processes the sample based on the indication information of each sample.

The invention relates to the technical field of electric power facility monitoring, in particular to an electric power inspection system and a satellite image processing method, and the system comprises a front-end sensing module which collects state data and establishes an inspection path after receiving an inspection instruction; the edge processing module is used for receiving the state data, performing real-time processing and feature extraction according to the inspection path and generating key parameter information; the central analysis platform receives the key parameter information, performs diagnosis analysis based on the key parameter information, and generates an inspection diagnosis report; the feedback optimization module is used for updating a feature extraction rule of the edge processing module and an intelligent diagnosis analysis model of the central analysis platform based on the inspection diagnosis report and the key parameter information; and the inspection result module sends the inspection diagnosis report to the operation and maintenance terminal. According to the invention, the problems of low inspection efficiency, high safety risk and response delay caused by incapability of realizing efficient, real-time and automatic fault detection and state monitoring in a remote or dangerous area in a traditional inspection mode are effectively solved.

The invention relates to the technical field of animal experiment analysis, in particular to an animal behavior monitoring method, device and equipment and a medium. The method comprises the following steps: acquiring video stream data for a target area; determining target information of each animal in the video frame, wherein the target information comprises number information, center point information and attitude information; and performing behavior monitoring on the animals according to the number information, the center point information and the attitude information of the animals in each video frame to obtain animal behavior monitoring information. According to the method, continuous behavior monitoring, such as trajectory tracking, posture change, position change and other state or behavior monitoring, is carried out on the animals with different serial number information in combination with continuous video frames through the serial number information, the center point information and the posture information of the animals; the problems that in the prior art, influence of non-experimental factors is likely to happen, and the monitoring efficiency is low are solved.

The invention provides a distributed storage system space recovery method controlled by a central node. The method comprises the following steps: setting a central control node; the disk node reports disk information and chunk file information to the central control node; the central control node calculates a chunkroup space recovery priority, and sorts the chunkroup space recovery priority according to the chunkroup space recovery priority; the central control node executes a space recovery task on the chunkroup with the priority ranking in the front; the central control node issues execution space recovery tasks to the disk node, the disk node executes space recovery operation on all the chunk files in the same chunkset, all the chunk files in the same chunkset can be recovered at the same time, the central control node ranks all the recovery tasks, the recovery efficiency is higher, the recovery effect is better, and the recovery efficiency is improved. The space recovery tasks of the cluster are managed in the central control node in a centralized mode, it is guaranteed that the space recovery tasks are evenly distributed on all the disk nodes, load balance of all the disk nodes is guaranteed, and the influence on normal read-write deletion operation is reduced.

The invention discloses a low-altitude airspace dynamic navigation information generation system and method. The system comprises a plurality of low-altitude aircrafts, a plurality of flight information edge computing devices, a low-altitude information center and a low-altitude control center. The plurality of low-altitude aircrafts are in communication connection with the plurality of flight information edge computing devices; the plurality of flight information edge computing devices are in communication connection with the low-altitude information center; the low-altitude information center is in communication connection with the low-altitude control center; according to the invention, low-altitude navigation intelligence information can be accurately provided in real time.

The invention discloses a communication method and a communication device, and relates to the technical field of communication. In the method, a center node can obtain request information for training a first AI model from a first radio unit, the center node can determine whether the first AI model can be helped to be trained or not, and when the center node determines that the first AI model can be helped to be trained, the first AI model can be trained. The precision of the first AI model obtained after training of the center node is superior to that of the first AI model obtained after training of the first radio unit. In this way, the precision of the AI model applied by the radio unit can be improved.

The invention relates to the field of data integration, in particular to an information center data integration method for data information summarization of a heterogeneous system, which comprises the following steps of: accurately analyzing feature matching values of multi-dimensional sub-features of a transmission layer, a storage layer and a service layer, and designing a differential matching rule for technical attributes of different sub-features; according to the method, the adaptation degree of a target data source and an optimal possible template is accurately judged, corresponding drivers and strategies are loaded only when the matching degree reaches the standard, resource waste caused by driver loading errors is avoided, stable and efficient data access is guaranteed through accurate effectiveness of a preset access strategy, efficiency is improved through automatic mapping in high similarity by means of a hierarchical processing mechanism, and data access efficiency is improved. The cost is reduced through local rule adaptation in the case of medium similarity, the accuracy is guaranteed by triggering manual intervention in the case of low similarity, the efficiency and precision of semantic alignment are effectively balanced, an integrated data set with unified semantics is finally output, and a reliable and efficient technical path is provided for data information summarization of a heterogeneous system.

A method of defining an effective die position on an inspection wafer graph includes the following steps. The method comprises the following steps of: obtaining a position of a reference die in a test wafer graph, wherein the position of the reference die is adjacent to a central point of the test wafer graph; obtaining map data center data, and calculating the coordinate of the position of the reference point bare crystal in the map data center data; and calculating the relative offset between the coordinate system of the inspection wafer graph and the coordinate system of the map data center data according to the coordinate of the position of the reference point bare crystal in the map data center data. And returning the effective bare crystal position in the image information center data and modifying the inspection wafer image so as to generate a correct effective bare crystal image.

The invention relates to the technical field of port container loading and unloading, in particular to a system and method for container lock disassembly and assembly operation scheduling, and the system comprises a quay crane terminal subsystem which is arranged in a quay crane cab and is used for transmitting locking instruction information to a server through a wireless network; the server is used as an information center for receiving and processing the locking instruction information sent by the quay crane terminal subsystem and pushing the locking instruction information to the corresponding container truck terminal subsystem for transporting the container; the container truck terminal subsystem is arranged in a container truck cab and used for receiving and displaying the locking instruction issued by the server, and a terminal screen can indicate whether the currently transported container needs to be locked or not; and the LED indication screen is connected with the container truck terminal subsystem through a network cable and communicates with the container truck terminal subsystem through a binary code, and the problems that in the prior art, efficiency is low, the error rate is high, and the process is not traceable are solved.

Various systems and methods for providing decentralized reputation management in a named-function network are described herein. A compute node is configured to access an information centric network (ICN) interest packet from a user device, the ICN interest packet including a function name and a data name; construct a named-function network (NFN) interest packet using the function name; transmit the NFN interest packet to a function provider; receive an NFN data packet with a version of a function corresponding to the function name; construct a named-data network (NDN) interest packet using the data name; receive an NDN data packet with a data value corresponding to the data name; determine that the version of the function is not on a denylist; and initiate execution of the version of the function with the data value in response to determining that the version of the function is not on the denylist.

The invention discloses a hydraulic engineering full life cycle safety compliance intelligent management system and method, and the system comprises a data collection module which collects multi-modal data; the edge preprocessing module is used for carrying out local processing and reasoning on the collected data; the federal learning and block chain module is used for carrying out cross-project and cross-region privacy protection collaborative learning and recording metadata information; a center multi-modal large model is used for understanding and analyzing multi-modal data; the law and regulation knowledge graph module is used for carrying out structured matching on the engineering state and the law and regulation standard; the adaptive digital twinborn module is used for constructing a digital twinborn body synchronous with the physical water conservancy project so as to predict a result; the multi-modal consistency anomaly detection engine evaluates the consistency and uncertainty of the multi-modal data and the prediction result; and the compliance report generation and emergency decision module is used for generating a compliance report and supporting intelligent emergency strategy making. The safety supervision level, the risk identification capability and the emergency response efficiency of the water conservancy project can be improved.

The invention discloses a public data element asset right confirmation method based on multi-dimensional features and an ownership chain and a public data element asset right confirmation system based on the multi-dimensional features and the ownership chain, and the method comprises the steps: carrying out the data analysis processing of original data of a target data asset from a public credit information center database, and obtaining a data element object; performing multi-dimensional feature fingerprint generation processing based on the data element object to obtain a multi-dimensional feature fingerprint; on the basis of the multi-dimensional feature fingerprint, the data element object and the digital identity, carrying out ownership chain chaining processing to obtain a target ownership chain; when an ownership transfer event request corresponding to the target ownership chain is received, carrying out ownership change registration processing based on the ownership transfer event request to obtain a new target ownership chain; and when a query request is received, performing ownership information query processing based on the multi-dimensional feature fingerprint corresponding to the query request to obtain an ownership circulation history.

The present invention discloses a spatial information center network naming and addressing method and device, the method comprising: constructing a spatial information center network; using a hierarchical naming method to name the data packets of the spatial information center network to obtain data packet name information; addressing the nodes in the spatial information center network according to the data packet name information to obtain node address information, and realizing spatial information center network naming and addressing. The method of the present invention also includes obtaining the communication needs of the user; using a preset user demand characterization function to process the communication needs of the user to obtain demand characterization parameters; using a preset addressing function to process the data packet name information to obtain a hierarchical on-demand naming and addressing result. The present invention adopts a structure that combines an information center network with a software-defined network, fully considers the needs of data content and communication links, uses data content unique identifiers to address nodes in the network, and realizes efficient network management and maintenance.

The invention relates to a nuclear power project design technology state change pushing system and method, a storage medium and electronic equipment. The method comprises the steps that a design file information design input maintenance module is received; the technical state change data acquisition module is used for monitoring the service state of the data in the data table in each service system and acquiring corresponding service state update data when the service state of the data in the data table meets a write-in condition; the information processing and pushing module is used for reading the change data in the information center database, processing the change data, summarizing change information and pushing the change information to a target terminal; and the information center database is used for storing the design file information, the business association relationship information, the business state updating data and the processed data. According to the method, the problem of inconsistent technical states caused by project design technology change can be effectively solved, meanwhile, change information is automatically collected and updated and pushed to related persons in charge, and the human factor risk problem is effectively solved.

The invention discloses a mine electric locomotive unmanned intelligent driving system based on the 5G technology, which comprises a data acquisition and processing center, an electric locomotive data processing center, a signal centralized closing data processing center and a centralized control information center, and all the centers realize data interaction through a network switch. The system aims to form an intelligent transportation system control platform with mechanization, automation, informatization and intellectualization of a mine electric locomotive rail transportation system through electric locomotive transformation, video monitoring system construction, remote operation system construction and the like on the basis of informatization of a rail transportation signal collection and closure system. During operation, the electric locomotive realizes the functions of interval speed adjustment, automatic lifting of a pantograph, automatic position calibration and the like according to real-time positioning, and the upper control system monitors and records the operation state and operation parameters of the electric locomotive in real time and monitors the whole process, so that the problem of intelligence and automation of a mine electric locomotive driving system is solved; omnibearing monitoring and intelligent control of the mine electric locomotive driving system are achieved.

An elevator system can eliminate the situation that passengers are trapped in an elevator car as soon as possible. This elevator system is provided with: a car that can be lifted inside a hoistway; a control panel for controlling the operation of the car; and a remote monitoring device which is provided in the hoistway or the machine room and which transmits the operation information acquired from the control panel to the information center, the remote monitoring device having an acceleration sensor capable of measuring the acceleration, and which, when the car is emergently stopped in a place other than the landing, transmits the operation information to the information center. When the acceleration measured by the acceleration sensor becomes smaller than the restart threshold value, the control panel moves the car to the nearest landing and opens the door.

The present invention discloses a virtual power plant system, which includes an information center terminal, distributed energy resources, a dispatching center terminal, and a virtual power plant. Among them, the information center terminal is used to announce the virtual power plant's electricity purchase and sale information; the distributed energy resources dynamically aggregate based on the virtual power plant's electricity purchase and sale information announced by the information center terminal, combined with their own power supply and demand characteristics and historical information, and select their preferred virtual power plant; the dispatching center terminal is used to announce dispatching requirements; the virtual power plant is used to optimize the dispatching of the distributed energy resources aggregated to itself in combination with the dispatching requirements announced by the dispatching center terminal to obtain the operation plans of each distributed energy resource. Each distributed energy resource is uniformly dispatched via the virtual power plant, which can relieve the computational pressure on the power grid to directly dispatch a large number of distributed energy resources. The dispatching center terminal only needs to send dispatching requirements to the virtual power plant, and then the virtual power plant can achieve demand response through its own optimized dispatching, thereby ensuring the efficient operation of the power system.

To achieve more accurate autonomous driving of vehicles and promote the introduction of autonomous driving. [Solution] In the map information registration system of the embodiment, the measuring device comprises an information acquisition unit that acquires vehicle location information based on a positioning signal and time information of the current time, and a recording processing unit that acquires and records the driving procedure and the acceleration / deceleration status of the vehicle from an operating device that can be operated by the vehicle driver, acquires and records the vehicle speed from a measuring device, records the operation procedure, speed and acceleration / deceleration status as driving / operation data, and transmits the location information, time information and driving / operation data in association with the registration device. The registration device comprises a generation processing unit that generates track information centered on the track based on the location information, a driving data processing unit that identifies driving change points indicating the location information of the operation point and the acceleration / deceleration point from the location information, time information and driving / operation data, and a registration processing unit that registers driving support data, which associates the driving / operation data with the location information of the driving change points in the track information, into a map database.

The invention relates to a request response method, an ICN network element, a device, equipment, a medium and a program product. The method is applied to an ICN center node deployed in an ICN element of a metropolitan area network, the ICN element comprises the ICN center node and a plurality of ICN edge nodes, each ICN edge node is in communication connection with the ICN center node, and the method comprises the following steps: firstly, the ICN center node receives a target ICN service request which is sent by a first ICN edge node and is used for requesting target data content, and then, the first ICN edge node sends the target ICN service request to the first ICN edge node; and determining whether a second ICN edge node storing the target data content exists in the ICN network element according to the target ICN service request, and if the second ICN edge node exists, forwarding the target data content stored in the second ICN edge node to the first ICN edge node. By adopting the method, the hit rate of the edge node can be improved, and the back-to-source flow is avoided.

This invention discloses a real-time visualization system and method for multiple port areas, relating to the field of data visualization. The system includes a real-time port area data acquisition and access module, a port area scheduling data visualization module, a loading and unloading machinery and equipment operation status visualization module, an AIS data access visualization module for vessels not yet arriving at the port, a multi-indicator layer visualization control module, and a multi-menu data visualization information center. It aims to connect with video surveillance equipment, weather forecast data, vessel scheduling data, and equipment control systems deployed in various port areas through standardized interfaces. AIS data enables real-time acquisition, unified aggregation, and preprocessing of multi-source data in the port area. It flexibly overlays multiple business-themed layers, such as the distribution of port facilities and pipelines, to provide a real-time and accurate data foundation for upper-level visualization applications, achieving one-stop port operation situation awareness.

This invention provides secure remote access for digital engineering. Industrial Information Centers (IIHs) and Industrial Development Centers (IDHs) serve as industrial ecosystem platforms where multiple participants can deliver repeatable and standardized services relevant to their core competencies. At the heart of the IIH system is a development ecosystem that creates and delivers value for users (including industrial enterprises, OEMs, system integrators, suppliers, etc.) by aggregating digital content and domain expertise. The IIH system acts as a trusted information broker between the ecosystem and the OT environment of the plant facility, providing a platform for connecting assets, contextualizing asset data, and providing secure access to the ecosystem. As part of this ecosystem, the IIH system uses a secure remote access architecture to allow users to remotely access data about their plant floor assets via a VPN connection.