Abstract:
Example implementations disclosed herein are directed to monitoring communications networks in real time to ensure that they are performing in a desired fashion. Metrics such as utilization and latency are monitored to ensure that customer SLAs (Service Level Agreements) are met in a timely fashion. To detect problems in advance, example implementations predict the future values of metrics and detect events if the future value violates certain conditions. Example implementations build models that can predict the future values of metrics and analyze historical, near real time and real time streaming data so as to build predictive models.
Abstract:
A method for core remanufacturing evaluation. The method may include acquiring available core data for a selected core from a plurality of cores; analyzing the available core data related to the selected core to assess an internal condition of the selected core and identify faults; identifying, based on the internal condition and the identified faults, part and processes needed to remanufacture the core; deriving metrics for part and processes needed to remanufacture the core; computing, from the derived metrics, a utility measure representing an estimate of potential value generated or potential impact generated if the core is remanufactured; determining a remanufacturing priority based on the computed utility measure; and performing remanufacturing of the selected core based on the determined remanufacturing priority.
Abstract:
Systems and methods are directed to providing one or more interfaces to construct a flow and dashboard for data sources connected to an apparatus. In example implementations, a flow building interface and a dashboard designing interface is provided. The interfaces produce flow information and dashboard information, which is used by the apparatus to construct a dashboard, execute a plurality of flows and receive data from one or more external sources to execute the dashboard.
Abstract:
A management server is coupled to a plurality of rig systems by a network, each of the rig systems having a plurality of sensors, a rig and a rig node. The management server stores data received from at least one of the plurality of rig systems, the data including values associated with one or more attributes of the rig. The management server derives a model signature for at least one phase from a timeline for at least one rig system based on analytics of information stored in the database and the data, where the model signature includes a set of attributes for the at least one of the plurality of rig systems. In addition, the management server generates a recommendation including one or more actions for planning rig system management operations corresponding to at least one attribute of the set of attributes.
Abstract:
A method for sharing and analyzing information to support execution of multi-party workflows in an electrification ecosystem. The method may include creating or updating shared data schema and data governance rules associated with data to be received from a plurality of parties, wherein the plurality of parties are stakeholders to the multi-party workflows, and the data is associated with a battery system; submitting the shared data schema and the data governance rules for approval to the plurality of parties; creating or updating decision logics associated with the data to be received; submitting the decision logics for approval to the plurality of parties; receiving the data from the plurality of parties; and applying the approved shared data schema, the approved data governance rules, and the approved decision logics to the multi-party workflows and the received data from the plurality of parties to perform automated decision optimization.
Abstract:
Example implementations as described herein are directed to the use of an end-to-end asset recovery platform in conjunction with historical data of a plurality of assets. In example implementations, the end-to-end asset recovery platform tracks assets throughout the use and recovery lifecycles to provide complete visibility and enable informed decision-making for stakeholders.
Abstract:
Provided is a production amount prediction system including: a storage unit which stores a production amount prediction model which is based on resources information including a resources amount obtained in a previously drilled wellbore and a resources recovery probability in the vicinity thereof; an input unit which receives a trajectory coordinate of a planned wellbore as an input; a production amount prediction unit which calculates a production amount of the planned wellbore based on the production amount prediction model by using a degree of influence of the previous wellbore on the planned wellbore as at least one parameter; and a display unit which displays the production amount of resources of the planned wellbore calculated by the production amount prediction unit.