158 results about "Infrastructure management" patented technology

The invention discloses a CIM-based pipeline state intelligent monitoring method, system and equipment and a medium, belongs to the technical field of urban infrastructure management, and aims to solve the technical problem of how to realize comprehensive, real-time and intelligent monitoring and management of the pipeline state of an underground pipe network, automatically analyze potential risks and abnormities and improve the management efficiency of the underground pipe network. In order to improve the management efficiency and level of the pipeline state of the underground pipe network, the adopted technical scheme is as follows: constructing a data acquisition and transmission network: constructing the data acquisition and transmission network by deploying multiple types of sensors along the pipeline, and obtaining and transmitting the real-time operation data of the pipeline; preprocessing data and constructing a model: preprocessing the pipeline operation data, and constructing a precise three-dimensional model of the pipeline by using a CIM (Common Information Model) technology; and intelligent analysis and prediction: in combination with big data analysis and data mining technologies, deep analysis and prediction of pipeline operation data are realized, and potential risks are identified and early warned.

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 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.

The current document is directed to an IaC cloud-infrastructure-management service or system that automatically generates schema for cloud-infrastructure-specification-and-configuration files used by integrated development environments (“IDEs”), associated with the IaC cloud-infrastructure-management service or system, for autocompletion and validation. The IaC cloud-infrastructure management service or system accesses cloud-provider plug-ins to collect information and then encodes collected information regarding resource types, resource-type-associated functions and function arguments, cloud-infrastructure-specification-and-configuration data-file syntax, and other relevant information into cloud-infrastructure-specification-and-configuration data-file schemas. The schemas are input to integrated IDEs to control autocompletion and cloud-infrastructure-specification-and-configuration data-file validation.

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.

A virtual machine (VM) test instance is created in a virtual machine scale set. When the VM test instance is created, a unique set of credentials is also created corresponding to the VM test instance. The unique set of credentials is stored in a secret store that is separate from other cloud and organization credentials. When access to a VM test instance is requested by a user, the unique credentials are provided to the user to use the VM test instance for a limited time. When the user is finished using the VM test instance, or when the VM test instance expires, then the VM test instance is destroyed and the unique credentials are also destroyed.

The present invention discloses a method for analyzing the aging of assembled anti-collision components based on BIM5D technology, which relates to the field of municipal infrastructure management. The construction project is three-dimensionally modeled using modeling software, the bill of quantities is input into the corresponding component type parameters, the construction project schedule information is compiled using relevant software, and then the cost information and progress information are integrated using BIM5D technology, and the aging model of each task is analyzed based on the WBS work breakdown structure and earned value method. The real-time progress of the project and the change of funds are provided to project managers and construction technicians from different angles such as time dimension and project dimension, the degree of deviation is evaluated, the cause of the deviation is analyzed and corrective measures are proposed. The present invention can effectively predict the progress-cost control problems that occur in the actual production of the project, and provide a reliable aging analysis method for key node control and early warning.

The invention discloses a GIS-based digital park infrastructure management system, and relates to the technical field of geographic information systems. In order to solve the problems that spatial data, facility operation states and energy consumption data cannot be effectively integrated, and a real-time and dynamic monitoring and early warning mechanism cannot be provided, so that maintenance and safety management of park facilities are not timely enough. Spatial data from various data acquisition terminals are efficiently integrated and managed through the spatial data processing unit, the park facility supervision unit realizes real-time monitoring of the operation state of park facilities by using a sensor network, and historical data are analyzed through data processing, so that potential faults or problems can be timely found and prevented, and the safety of the park facilities is improved. According to the system and the method, efficient and stable operation of park facilities is ensured, the energy consumption statistical evaluation unit performs energy consumption optimization management based on an evaluation result, energy consumption reduction is facilitated, and the visual display unit displays complex spatial data, facility operation states and energy consumption data to users in a visual manner.

Techniques described herein address the above challenges that arise when using host executed software to manage vector databases by providing a vector database accelerator and shard management offload logic that is implemented within hardware and by software executed on device processors and programmable data planes of a programmable network interface device. In one embodiment, a programmable network interface device includes infrastructure management circuitry configured to facilitate data access for a neural network inference engine having a distributed data model via dynamic management of a node associated with the neural network inference engine, the node including a database shard of a vector database.

Methods, systems and apparatus for using blockchain distributed ledgers to build and maintain infrastructure projects utilizing smart meters and smart contracts to increase information flow in the securitization of digital securities which are issued to fund and administer the infrastructure projects and to provide transparent and predictable returns to investors and efficient capital formation and infrastructure management to the digital security Issuers.

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.

A method for managing cloud infrastructure includes receiving, from a user of a user device, a cloud infrastructure modification request requesting modification to cloud infrastructure. The cloud infrastructure modification request includes abstract configuration data derived from a user interaction with a graphical user interface (GUI) executing on the user device. The method includes translating the abstract configuration data into a configuration command. The configuration command describes a configuration of the cloud infrastructure. The method includes updating a configuration file with the configuration command. The configuration file includes one or more cloud infrastructure specifications for the cloud infrastructure and is controlled by a source control management system. The method includes provisioning, using the updated configuration file, the cloud infrastructure.

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 relates to the technical field of cold chain information management, in particular to a shared cold chain infrastructure centralized management method, and the method comprises the steps: obtaining the basic warehousing information of each cargo transportation order in a single-batch transportation process, determining the basic warehousing information of a cargo transportation order corresponding to the shortest in-warehouse time, and calculating a shared risk characterization coefficient; whether a cold chain sharing conflict risk exists in the single-batch transportation process or not is judged, a terminal risk coefficient is calculated according to the transportation basic information of each cargo transportation order so as to judge the conflict level state of the single-batch transportation process, a transportation management mode for the single-batch transportation process is selected according to the conflict level state, and then the transportation management mode of the single-batch transportation process is selected. According to the method, the capability of resisting temperature fluctuation of the goods is judged according to the effective information of the cold-chain goods, the transportation management mode of the cold-chain goods is adaptively adjusted, the effectiveness of shared cold-chain infrastructure management is improved, and refined and intelligent management of cold-chain goods transportation is realized.

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.

Novel systems and methods for infrastructure management are described herein. Exemplar novel systems and methods include using a network of sensors for measuring fluid condition attribute at constraint locations inside infrastructure, a fluid flow controller for calculating stress at the constraint locations and a flow-redistributing component for redistributing fluid flow through one or more routes inside infrastructure to relieve stress at the constraint locations. Novel systems and methods for implementing infrastructure management strategies are also described herein. They include structural components to carry out features like obtaining data and / or estimated values, calculating and / or estimating stress values, developing flow redistributing strategies for relieving stress in infrastructure, and implementing these strategies to relieve stress. Novel systems and methods to adapt flow control to the changing storm conditions are also described herein. These systems and methods adjust flow redistributing strategies, in real time, in response to the changing storm severity.

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 the technical field of building data center infrastructure management, and discloses an infrastructure management method and system based on a data center. The method comprises the steps of collecting data of a building cooling and lighting system through a sensor, performing edge equipment anomaly detection, performing hybrid model-based energy consumption prediction, performing system optimization and performing feedback monitoring. Compared with the technical problems in the prior art that dynamic optimization cannot be realized in a complex building environment, and especially energy efficiency cannot be ensured difficultly under the condition of large demand fluctuation or high load, the energy efficiency of the cooling and lighting system is improved through edge calculation and a multi-objective optimization algorithm, energy consumption waste is avoided, and the energy efficiency of the cooling and lighting system is improved. And the stability and the response capability of the system are obviously improved.

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.

A management node may include a storage device to store mapping information associating an identifier of a virtual computing instance deployed in a data center with an identifier of an agent that runs in the virtual computing instance. Further, the management node may an agent management module to receive an event notification indicating a state change of the virtual computing instance from an infrastructure management component residing in the data center. The event notification may include the identifier of the virtual computing instance. In response to receiving the event notification, the agent management module may determine the agent that is likely to affect due to the state change of the virtual computing instance based on mapping information and the identifier of the virtual computing instance. Further, the agent management module may manage a state of the agent based on the state change of the virtual computing instance.

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.

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 system and method are provided for modifying the C-state of processors in nodes within an O-Cloud infrastructure of a telecommunications network. The method includes: obtaining, by a federated O-Cloud orchestration and management module (FOCOM), a request to modify a C-state of a processor of an O-Cloud node within the O-Cloud infrastructure of the telecommunications network; sending, by the FOCOM, a request to modify the C-state of the processor of the O-Cloud node via an O2 interface to an infrastructure management service module (IMS); receiving, by the IMS via the O2 interface, the request to modify the C-state of the processor of the O-Cloud node; controlling, by the IMS, implementation of the request to modify the C-state of the processor of the O-Cloud node; and sending, by the IMS to the FOCOM via the O2 interface, a confirmation of the C-state modification of the processor of the O-Cloud node.

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.