95 results about "Infrastructure management" patented technology

The present application provides a cloud-edge collaborative 1+6+N smart thermal power plant intelligent infrastructure system and deployment method. The system comprises: a lightweight IaaS layer, a lightweight PaaS layer, and a lightweight SaaS layer. The lightweight IaaS layer is used for a user to independently deploy and run any software or application program, to implement basic computing, storage, and calling of network resources for the smart thermal power plant intelligent infrastructure system. The lightweight PaaS layer is used to configure an application program development and deployment environment for any software or application program deployed by the user, and to access data of a terminal sensing device and a control device of the smart thermal power plant intelligent infrastructure system. The lightweight SaaS layer is used to deploy applications and services used in the smart thermal power plant intelligent infrastructure system in the form of a microservice architecture, to meet various service requirements of the smart thermal power plant intelligent infrastructure system. The technical problems of how to provide an efficient, safe and visual solution for improving infrastructure management, operation and maintenance of a thermal power plant, and how to significantly improve the infrastructure management level and efficiency of operation and maintenance the power plant, are resolved.

The invention discloses a full-life-cycle management method for electromechanical equipment of a mountainous road, and relates to the technical field of intelligent traffic infrastructure management, and the method comprises the steps: inputting a standardized equipment operation data set into a Bayesian network evaluation architecture, analyzing the posterior probability of each node under the dynamic constraint of environmental parameters through a multi-level fault propagation path, and carrying out the analysis of the posterior probability of each node; generating an equipment health assessment report; and fusing the equipment control execution state record with historical electromechanical equipment operation data, constructing an equipment full-life-cycle degradation curve through space-time correlation analysis, performing trend feature extraction and signal separation processing, and generating an equipment full-life-cycle analysis report. According to the method, the pertinence and timeliness of the maintenance decision are improved, and the refined monitoring and prediction of the full-cycle operation performance of the equipment are realized, so that a reliable basis is provided for scientifically formulating a maintenance plan, reducing the full-life-cycle cost and prolonging the service life of the equipment.

Multimodal input data associated with a transportation network environment, including at least one of image data and light detection and ranging (LiDAR) data, is received. Based on an artificial intelligence (AI) component and the multimodal input data, at least one attribute set associated with at least one infrastructure asset within the transportation network environment is identified. Based on the at least one attribute set, output data associated with a multi-objective infrastructure management operation is generated. The output data is provided for display via a graphical user interface rendered by a computing device.

The invention discloses an intelligent management system and management method for an urban gas pipe network, and relates to the technical field of urban infrastructure management, and the system comprises an equipment management module which is used for collecting multi-source heterogeneous data of the urban gas pipe network, and converting the collected data into intermediate data in a unified format; the transmission module is used for transmitting the intermediate data; the data management module is used for performing full-life-cycle processing on the intermediate data and constructing a database system and a mathematical model for supporting system operation; the application service module is used for performing deep mining and application on the processed intermediate data by adopting a big data analysis technology, an artificial intelligence technology and a virtual simulation technology so as to realize four intelligent management functions of fault early warning, equipment operation evaluation, pipe network dynamic simulation and emergency aid decision making of the gas pressure regulator; and the display module is used for receiving various application results, displaying the results at each terminal and pushing alarm information. According to the invention, intelligent management of the gas pipe network can be realized.

The invention relates to an infrastructure management system and method based on digital engineering and data fusion, and relates to the technical field of infrastructure engineering. The system comprises a sensing layer which is used for obtaining field data of an infrastructure site through each piece of Internet of Things equipment deployed in the infrastructure site; the data layer is used for storing field data; the application layer is used for providing a plurality of capital construction management functions and determining management information of each participant under an associated management function in the capital construction management functions according to the field data stored in the data layer for each participant of a capital construction project in a capital construction field; participants of the infrastructure project at least comprise a design party, a supervision party, a construction party and a construction party; and the display layer is used for displaying the association management function of the participant and the management information of the participant under the association management function to the participant for each participant. By adopting the system, each participant can perform synchronous management on the capital construction project.

The disclosed method deploys a containerized health condition monitoring service that includes an embedded health condition monitoring service script. The containerized service generates a Secure Shell (SSH) key pair, including an SSH public key and an SSH private key. A management account of the containerized service is registered to a centralized account service. An SSH control module of a hyper-converged infrastructure (HCI) manager retrieves the management account of the containerized service from the account service. The control module accesses the containerized service to retrieve the SSH public key and stores the SSH public key to a target resource, such as a host or virtual machine, to enable any instance of the containerized service to remotely execute the health condition monitoring service script on the target resource using SSH commands.

Techniques discussed herein relate to monitoring and / or detecting destabilization events of a host machine of a cloud computing environment. At least some of these destabilization events can be associated with a converged network adaptor of the host machine. The converged network adaptor may include a combination of functionality of a host network interface card (NIC) and functionality associated with a smart adaptor (e.g., a smart NIC). The smart adaptor may be configured to use at the host machine. A converged infrastructure management service may monitor operational data associated with the host machine to identify destabilization events that may be associated with the converged network adaptor. One or more remedial actions may be identified based at least in part on identifying these destabilizing events.

A method is presented which enables a controlled mechanism of applying the required set of settings, e.g., for cloud-based network infrastructure, by means of “profiles”. Infrastructure Management Service (IMS) applies one or more of Compute profile, Networking profile, Storage profile, Accelerator profile, and Application (“App”) profile to cloud infrastructure. The following set of procedures are defined to achieve the profile-based infrastructure management: a) profile definition; b) cloud-infrastructure-preparation based on profile(s); c) cloud audit and monitoring; and d) cloud preparation based on capability. Applying of a profile can involve one or more of: updating the BIOS settings, e.g., using Intelligent Platform Management Interface (IPMI) commands; updating the GRUB settings; updating the system / kernel parameters; updating interfaces (e.g., alias, bonding, etc.); creating required resources (e.g., virtual functions (VFs) and corresponding bindings); creating resource maps to be used by plug-ins; and running any scripts for custom needs of the RAN application.

The present disclosure relates to DPU infrastructure management. In one embodiment, a system includes a plurality of host computers, a plurality of data processing units (DPUs), each DPU including a network interface controller (NIC) and a processing core, each DPU connected to a respective host computer, and at least one management node to provision software on the processing core of each DPU and to synchronize a lifecycle of each DPU with a lifecycle of the respective host computer during provisioning of the software.

The invention discloses a manhole cover safety state artificial intelligence identification method and system for smart city construction, and the method comprises the steps: obtaining manhole cover images and geographic position data at an edge calculation end, and carrying out the preliminary screening through a lightweight identification model; according to a screening result, carrying out shunting processing on the data, and uploading suspected abnormal data to a cloud server; and the cloud server carries out deep diagnosis by adopting a high-precision identification model and finally generates alarm information. The invention relates to the technical field of smart city infrastructure management. According to the method, the edge cloud collaborative architecture is constructed, high-speed preliminary screening is carried out at the edge end to filter mass normal data, and only a small amount of suspected abnormal data is uploaded to the cloud end to carry out fine diagnosis, so that the calculation load and network communication overhead of the edge end are greatly reduced, the contradiction between real-time performance and accuracy in manhole cover identification is effectively solved, and the manhole cover identification efficiency is improved. And the overall operation efficiency and economical efficiency of the system are improved.

The current document discloses systems and methods that implement digital management of multi-network connections. When the digital infrastructure manager receives a client request for access to a service or service provider, the digital infrastructure manager issues a signed access token to the client, and the access token utilized in various ways when service requests are processed. The digital infrastructure manager then processes, transmits, and manages the request, response, and any additional actions required to satisfy the request including multiple and / or additional requests by the same or other clients.

In an example embodiment, rather than use a traditional database or datastore, or an ETCD database, to store the state of a cloud infrastructure management and orchestration system, a peer-to-peer network is used. The complete state of the cluster is available at every node. Nodes that are newly added to the system will fetch the current state from existing nodes. If the verification of the block is successfully performed by at least a quorum of the nodes, then the block is persisted as a new state on a node, and then distributed as a new state to every other node. The verification ensures that errors or possibly compromised nodes cannot persist incorrect changes to the system state.

An apparatus comprises at least one processing device configured to identify an extended processing device and onboard the extended processing device to an edge infrastructure management platform, wherein the extended processing device is added as a component of a legacy device, and integrate the legacy device into the edge infrastructure management platform through one or more operations performed by the extended processing device.

The application discloses a kind of based on nesting block genetic's super large scale network operation method and system, the method includes: obtaining asset network data, constructs infrastructure operation planning physical mathematical model;With the parent individual representing different complete cycle planning scheme, constraint-aware annual plan exchange crossover is carried out;Asset block and nesting;Block maintenance strategy exchange and hierarchical variation between blocks;Block level linear programming guided adaptive optimization.The system includes: including physical modeling module, annual plan exchange crossover module, block nesting module, sub-block processing module and adaptive optimization module.Through using the application, the calculation bottleneck under the scale of huge assets can be solved, and an efficient and scalable decision support scheme is provided for the fine management of complex infrastructure systems such as roads and bridges.The application can be widely applied in the technical field of infrastructure management.

The current document discloses systems and methods that implement digital management of multi-network connections. When the digital infrastructure manager receives a client request for access to a service or service provider, the digital infrastructure manager issues a signed access token to the client, and the access token utilized in various ways when service requests are processed. The digital infrastructure manager then processes, transmits, and manages the request, response, and any additional actions required to satisfy the request including multiple and / or additional requests by the same or other clients.

A system is provided.SOLUTION: A system comprising: means for obtaining answers to a plurality of question items from a user; means for analyzing the obtained answers and tokenizing the analysis results; means for using a AI model to automatically generate infrastructure management code based on the tokenized analysis results; and means for providing the generated infrastructure management code to the user.SELECTED DRAWING: Figure 1

Provided are a method, system, and device for shutting down an identified Open Radio Access Network (O-RAN) Cloud (O-Cloud) node. The method may include: receiving, by a Federated O-Cloud Orchestration and Management (FOCOM), a recommendation from an rApp to shutdown an identified O-Cloud node; sending, by the FOCOM, an instruction to a Network Function Orchestrator (NFO) to relocate a workload from the identified O-Cloud node to alternative O-Cloud node based on the recommendation; and sending, by the FOCOM, an instruction to Infrastructure Management Services (IMS) to shutdown the identified O-Cloud node.

The present disclosure relates to techniques for efficient performance of medical procedures. In some aspects, these improvements are achieved through improved intra- and inter-processor data transfer and processing, improved processor prioritization and parallelization, improved infrastructure management, and / or the implementation of an omnischeduler for efficient equipment management and / or task orchestration. These improvements also provide for improved application-layer capabilities, including improved digital twins and improved generation of synthetic data for training, for example, classification models and / or control policies.

The application provides a network deployment method, device, server and medium, and relates to the field of communication.The network deployment method comprises the following steps: obtaining a first service and a second service; calling a virtual infrastructure manager (VIM) and a software defined network (SDN) controller to create a first virtual router and a second virtual router; calling a security controller to create a virtual firewall in the case that the first service and the second service have security interaction requirements; calling the VIM, the SDN controller and the security controller to establish a first logical link and a second logical link; the first logical link is a logical link interconnecting the first virtual router and the virtual firewall, and the second logical link is a logical link interconnecting the second virtual router and the virtual firewall.In the embodiment of the application, the virtual routers of different services share the virtual firewall, so that the vFW resource occupation can be effectively reduced, and the network deployment cost is reduced.

This invention relates to the field of park management technology, specifically a smart park management platform based on park informatization. This platform integrates advanced technologies such as the Internet of Things, cloud computing, and big data to achieve informatization and intelligentization of various management tasks within the park. Specifically, it includes functions for park infrastructure management, energy management, security management, property management, and investment promotion management. By monitoring and analyzing energy usage within the park in real time, and combining big data and artificial intelligence technologies, it can propose reasonable energy allocation suggestions to achieve energy conservation and emission reduction goals, reduce park operating costs, and respond more quickly and accurately to the needs of users within the park through various management and service applications provided by the platform, such as park infrastructure management and property management, thereby improving service quality.

A method of adjusting handover-related parameters includes: collecting, by a terminal management server, current location information from two or more mobile terminals and generating predicted movement path information for the two or more mobile terminals; determining, by an infrastructure management server, a predicted number of mobile terminals connected to each of two or more base stations which correspond to the predicted movement path information for each of the two or more mobile terminals; and adjusting, by the infrastructure management server, a handover-related parameter for a base station, among the two or more base stations, based on the number of mobile terminals actually connected to the base station of the two or more base stations and the predicted number of mobile terminals.

The invention discloses a distributed park infrastructure multi-node cooperative processing method based on edge computing, and belongs to the technical field of edge computing. The method comprises the following steps: deploying distributed edge nodes beside a park infrastructure and adding line interface identifiers, and establishing exclusive association between the nodes and the infrastructure; time scales are configured by taking days as a cycle, peak periods are determined in combination with historical data, and cooperative processing periods are divided; collecting power consumption of each time period, calculating a consumption ratio and a statistical index, and quantifying a consumption ratio interval; and based on the initial power distribution quantity and the proportion interval, estimating a temporary distribution quantity when the facility switches the path and feeding back the temporary distribution quantity. The system realizes the functions through three modules of node deployment and time management, energy consumption data evaluation and power collaborative optimization. The method solves the problems of high delay, unreasonable power distribution and poor node collaboration of the existing centralized processing, improves the operation stability of the park infrastructure, reduces the energy consumption waste, and is suitable for infrastructure management of various industrial parks and commercial parks.

The application discloses a kind of based on BIM model hanging link road bridge asset coding method and system, it is related to building information model and infrastructure management technical field, comprising: constructing condition-action binary tuple asset coding rule base, collect target road bridge BIM model data and project coding specification data, and rule is defined priority through priority field;BIM model is parsed through BIM platform API, and component is traversed and feature vector is extracted;Component feature vector is matched with rule base according to priority, triggers coding generation action, generates unique asset coding batch writing component attribute field, forms component-coding mapping table and is synchronized to external asset management system, to color cloud chart verification hanging result, output exception report.The application is matched by rule base and priority, combined with multithreaded batch processing and hash table index optimization, improves the efficiency and accuracy of coding hanging, and with asset coding as index correlation whole life cycle data, realizes the traceability of road bridge asset, can be managed.

The invention discloses a super-large scale network operation and maintenance method and system based on nested block heredity, and the method comprises the steps: obtaining asset network data, and constructing an infrastructure operation and maintenance planning physical mathematical model; performing annual plan exchange crossover of constraint perception on parent individuals representing different complete cycle planning schemes; blocking and nesting assets; maintaining strategy exchange and hierarchy variation among the blocks; and adaptive optimization guided by block-level linear programming. The system comprises a physical modeling module, an annual plan exchange cross module, a block nesting module, a sub-block processing module and a self-adaptive optimization module. By using the method, the calculation bottleneck under a huge asset scale can be solved, and an efficient and extensible decision support scheme is provided for fine management of complex infrastructure systems such as roads, bridges and the like. The method can be widely applied to the technical field of infrastructure management.

The invention relates to a building infrastructure management system (10). Said building infrastructure management system (10) comprises multiple building infrastructure devices (11a, 11b, 11c), and a data processing device (12) configured to acquire information and / or measurement data with respect to the building infrastructure management system (10) and / or with respect to at least a part or each of the multiple building infrastructure devices (11a, 11b, 11c). The data 10 processing device (12) is further configured to detect an anomaly with respect to the correspondingly acquired information and / or measurement data and / or with respect to the building infrastructure management system (10) and / or with respect to at least a part or each of the multiple building infrastructure devices (11a, 11b, 11c) based on a machine-learned or preprogrammed model.

The application belongs to the technical field of communication network operation and maintenance and infrastructure management, and discloses a communication infrastructure full life cycle management system based on digital twinning, which is applied to a communication network including a core network, a bearer network and an access network. The system is provided with a communication infrastructure object library, a life cycle event management and fingerprint generation device, a digital twinning management device and a fingerprint consistency comparison and trajectory reconstruction device on the center side, and is provided with a report message processing device on the edge node. By collecting design, construction and operation phase events according to infrastructure sections, fixed length life cycle fingerprints are generated and reported with state messages, fingerprint comparison and necessary life cycle trajectory reconstruction are carried out in the digital twinning model, high-risk infrastructure sections are marked in combination with event statistical results and topological relationship, and maintenance strategies are generated, so that the full life cycle fine management of the communication infrastructure is realized.

The invention discloses a method for constructing and optimizing a digital one-map of an urban underground pipe network, belongs to the technical field of urban infrastructure management, and aims at constructing and optimizing the digital one-map of the urban underground pipe network by integrating a digital twinborn technology, an artificial intelligence algorithm, big data analysis, a three-dimensional visualization technology and a data management technology. Comprehensive monitoring, analysis, early warning, evaluation and decision support of underground pipe networks for urban water supply, drainage, heat supply, gas and the like are realized; real-time updating and dynamic simulation of a pipe network state are realized through real-time data acquisition and integration in combination with three-dimensional modeling and digital twinborn model construction; deep analysis can be performed on pipe network data, potential risks can be predicted, a maintenance plan can be optimized, operation risks can be reduced, and resource configuration efficiency can be improved; the application of the method not only improves the management efficiency of the underground pipe network, but also enhances the toughness of the urban underground pipe network and the capability of coping with emergencies.

A method, system, and device for shutting down an identified Open Radio Access Network (O-RAN) cloud (O-Cloud) node is provided, the method including receiving, by a Federated O-Cloud Orchestration and Management (FOCOM), a recommendation from an rApp to shut down the identified O-Cloud node, sending, by FOCOM, an instruction to a Network Function Orchestrator (NFO) to move workloads from the identified O-Cloud node to an alternative O-Cloud node based on the recommendation, and sending, by FOCOM, an instruction to Infrastructure Management Services (IMS) to shut down the identified O-Cloud node.

Techniques discussed herein relate to monitoring and / or detecting destabilization events of a host machine of a cloud computing environment. At least some of these destabilization events can be associated with a converged network adaptor of the host machine. The converged network adaptor may include a combination of functionality of a host network interface card (NIC) and functionality associated with a smart adaptor (e.g., a smart NIC). The smart adaptor may be configured to use at the host machine. A converged infrastructure management service may monitor operational data associated with the host machine to identify destabilization events that may be associated with the converged network adaptor. One or more remedial actions may be identified based at least in part on identifying these destabilizing events.

The invention discloses a network quality monitoring method, system and device and a storage medium, and relates to the technical field of management and maintenance of network infrastructures. According to the specific implementation scheme, a detection client initiates a detection request of the detection based on preset monitoring node information so as to simulate a real access path of a user; obtaining a detection result of the detection request; generating a detection report message of the detection based on the detection request and the corresponding detection result; reporting the detection report message of the detection to a server side, so that the server side carries out aggregation analysis on quality monitoring indexes on a preset dimension of a network in a specified time window according to the received detection report message of each detection reported by each detection client in a plurality of detection clients and the size of the preset time window; and detecting the service quality of the network in the specified time window based on the quality monitoring index on the preset dimension of the network in the specified time window.