122 results about "Infrastructure management" patented technology

The invention relates to the technical field of charging infrastructure management, and particularly discloses a charging pile appointment scheduling and path planning cooperation system and a charging pile appointment scheduling and path planning cooperation method. According to the method, continuous wavelet transform and fast Fourier transform are adopted to extract a charging rate fluctuation characteristic value and a power grid power supply stability characteristic value for quantitatively evaluating the service stability of a charging pile and the power supply reliability of a regional power grid, and the system fuses the characteristic values into a comprehensive characteristic vector as the input of a gradient boosting tree model so as to obtain a gradient boosting tree model; and training the prediction model to output a charging planning score so as to judge whether the user can smoothly complete the charging task, and if a prediction result does not meet a set threshold value, dynamically adjusting a reservation scheduling strategy and re-planning an optimal charging path.

Provided are a computing resource management method, system and device, the method comprising: receiving an instantiation request of a virtualized network function (VNF) from a network function virtualization orchestrator (NFVO), the instantiation request of the VNF comprising an operation mode of the VNF; determining addressing information of a heterogeneous computing resource pool corresponding to the operation mode of the VNF and computing resource demand information of the VNF; sending a computing resource allocation request to an infrastructure manager IM, the computing resource allocation request comprising addressing information of the heterogeneous computing resource pool and computing resource demand information of the VNF, the computing resource allocation request is used for requesting to allocate resources for the VNF in the heterogeneous computing resource pool according to the addressing information of the heterogeneous computing resource pool and the computing resource demand information of the VNF. By adopting the embodiment of the invention, the computing resource requirement of a novel telecommunication application with high computing task concurrency can be met.

The invention discloses a memory configuration method and a related device, relates to the technical field of communication, and can improve the utilization rate of VM memory resources while ensuring the service performance. In the method, an infrastructure manager acquires memory demand information of a virtual machine (VM); the VM memory demand information comprises a VM exclusive memory value and a VM shared memory value of the target VM. And the infrastructure manager determines a target computing node of the target VM to be deployed from the at least one computing node. The memory resource condition of the target computing node is matched with the VM memory demand information, and the target computing node comprises exclusive memory resources and shared memory resources. And the infrastructure manager configures a VM exclusive memory and a VM shared memory for the target VM based on the VM memory demand information. Wherein the VM exclusive memory is allocated from exclusive memory resources of the target computing node, the size of the VM shared memory is consistent with the VM shared memory value, and the shared memory resources in the target computing node are used for scheduling the shared memory for the target VM when the target VM runs.

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.

A method, system and computer program product, the method comprising: determining properties of a set of containers that are deployed over a computer infrastructure, wherein the computer infrastructure is provisioned via an infrastructure management service; determining properties of one or more headroom containers, wherein the one or more headroom containers are not deployed over the computer infrastructure; simulating the container orchestrator using the properties of the set of container and the properties of the headroom containers, for obtaining an expected deployment of the set of containers together with the one or more headroom containers; based on the expected deployment, determining whether the computer infrastructure is sufficient for deploying the set of containers together with the one or more headroom containers; and subject to the computer infrastructure being insufficient, issuing a request to the infrastructure management service to allocate additional computer infrastructure.

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.

Embodiments of the present application provide a computing resource management method, a system, and a device. The method comprises: receiving an instantiation request of a virtualized network function (VNF) from a network functions virtualization orchestrator (NFVO), wherein the instantiation request of the VNF comprises an operating mode of the VNF; determining addressing information of a heterogeneous computing resource pool and computing resource requirement information of the VNF which correspond to the operating mode of the VNF; and sending a computing resource allocation request to an infrastructure manager (IM), wherein the computing resource allocation request comprises the addressing information of the heterogeneous computing resource pool and the computing resource requirement information of the VNF, and the computing resource allocation request is used for requesting to allocate resources to the VNF from the heterogeneous computing resource pool on the basis of the addressing information of the heterogeneous computing resource pool and the computing resource requirement information of the VNF. The embodiments of the present application can meet the computing resource requirements of new telecommunication applications having high computing task concurrency.

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.

The disclosure provides a method for deploying resources in a multi-cloud environment. The method includes receiving, by a dynamic resource placement system, a request to generate a resource placement configuration for one or more resources to be deployed in a multi-cloud environment; obtaining, by the dynamic resource placement system, a custom resource placement logic; obtaining, by the dynamic resource placement system, a cloud context comprising details of available cloud environments in the multi-cloud environment; generating, by the dynamic resource placement system and based on analyzing the cloud context using the custom resource placement logic, a resource placement configuration specifying one or more target cloud environments for deploying the one or more resources; and providing, by the dynamic resource placement system, the resource placement configuration to a cloud infrastructure management platform for deploying the one or more resources.

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.

A transient infrastructure management platform may establish a transient infrastructure in a cloud computing environment, trigger execution of a big data workload batch processing job, run a master script, and automatically shut down the transient infrastructure and delete associated resources. A cloud computing allocation tool may receive information from an enterprise structure data store containing electronic records (with each record including hierarchy information about organizations within an enterprise). The cloud computing allocation tool may also receive execution information associated with the big data workload batch processing job that was executed by the cloud computing environment for the enterprise. Based on the received execution information, hierarchy information about organizations within the enterprise, and allocation rules, the cloud computing allocation tool may automatically calculate allocation amounts for the execution information among a plurality of the organizations.

The invention discloses a BIM and GIS service combined power grid digital infrastructure management system and method, relates to the technical field of engineering construction management systems, and mainly aims to solve the problem of lack of digital management of a power grid infrastructure construction stage. The system comprises a BIM modeling module used for constructing a three-dimensional model based on construction basic data and a BIM method; associating the constructed three-dimensional model with a GIS map based on the engineering geographic position information; the receiving and associating module is used for receiving the work progress related information reported by the mobile terminal and associating the work progress related information with the engineering geographical location information in the GIS map according to time and space dimensions to obtain a comprehensive data set; the progress monitoring module is used for calling target work progress related information from the comprehensive data set and calculating progress deviation based on the target work progress related information to obtain a target deviation analysis result; and the display module is used for displaying the three-dimensional model and the to-be-displayed content output by the progress monitoring module.

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.

An example method includes receiving multiple 360-degree images each of which include a portion of a road. Multiple images based on the multiple 360-degree images are generated. One or more road defect detection models are applied to the multiple images. A first defect in a first portion of the road in a first image and a second defect in a second portion of the road in a second image. A determination that the first defect and the second defect are part of a single defect is made. A first location for the first image and a second location for the second image is received. An estimate of one or more locations of the single defect is made based on the first location and the second location. Defect location data that indicates the one or more locations of the single defect is generated and provided.

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

The present disclosure provides an electronic system for managing commercial activities between members of a network of independent system users. The system comprises: networked computing infrastructure, including one or more server or processor and a database of member data and member accounts for access by respective members and for communication with members via member computing devices. The networked computing infrastructure is configured to receive from any member, and / or transmit to any member, request or response data, e.g., relating to one or more objects to be subject to an activity via the system and / or relating to one or more activities to be carried out in respect of an object in the system. The system further comprises: a workflow execution framework or workflow execution module operated by the server or processor that manages a request and response process in respect of the one or more activities to be carried out between the members. The system may also comprise an object framework or module operated by the server or processor configured to identify and classify automatically an object nominated by a member to be subject to an activity via the system; and a workflow execution framework or module operated by the server or processor that provides a workflow process to members for the one or more activities to be carried out in respect of an object in the system. The disclosure also provides a method of managing commercial activities between members of a network of independent system users via a networked computing infrastructure.

Provided are a method, system, and device for changing the status of an Open Radio Access Network (O-RAN) Cloud (O-Cloud) resource, the method may include: obtaining, by a Service Management and Orchestration Framework (SMO) function, a first request or recommendation to update a functional status of an O-Cloud resource, the first request or recommendation being obtained from an rApp of a Non-Real-Time (Non-RT) RAN Intelligent Controller (RIC), or from an O-Cloud Maintainer, or from the SMO function directly; transmitting, by the SMO function to an Infrastructure Management Services (IMS), a second request to update the functional status of the O-Cloud resource based on the received first request or recommendation; and receiving, by the SMO function from the IMS, a first response as to whether the functional status of the O-Cloud resource was updated.

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.