Abstract:
A system and method for guiding and coordinating vehicular traffic determine tasks to be completed by vehicles in a transportation network in order to complete an objective, allocate the tasks among the vehicles, and determine sets of allowable actions for the vehicles based on the allocation of the tasks. The sets of allowable actions dictate plural different allowable actions that the vehicles are allowed to perform in order to complete the tasks allocated to the vehicles. The allowable actions are determined such that the vehicles are scheduled to complete the tasks and complete the objective without the vehicles colliding or blocking movement of each other. The allowable actions are communicated to the vehicles such that the vehicles are permitted to select one or more of the allowable actions and prohibited from performing one or more other actions during performance of the tasks allocated to the vehicles.
Abstract:
A system for determining identity information corresponding to an electrically operable machine is disclosed, where the electrically operable machine receives electricity from a power supply port. The system includes at least one sensor to generate a signal indicative of the electricity being drawn by the electrically operable machine from the power supply port. The system further includes a controller communicatively coupled to the at least one sensor and configured to determine the identity information corresponding to the electrically operable machine based on one or more electrical characteristics of the signal sensed by the at least one sensor. Method and non-transitory computer readable media for determining the identity of the electrically operable vehicle are also disclosed. Moreover, a system for controlling charging of a vehicle that is operated at least partially by the electricity is also disclosed.
Abstract:
An industrial asset may have monitoring nodes that generate current monitoring node values representing a current operation of the industrial asset. An abnormality detection computer may detect when a monitoring node is currently being attacked or experiencing a fault based on a current feature vector, calculated in accordance with current monitoring node values, and a detection model that includes a decision boundary. A model updater (e.g., a continuous learning model updater) may determine an update time-frame (e.g., short-term, mid-term, long-term, etc.) associated with the system based on trigger occurrence detection (e.g., associated with a time-based trigger, a performance-based trigger, an event-based trigger, etc.). The model updater may then update the detection model in accordance with the determined update time-frame (and, in some embodiments, continuous learning).
Abstract:
A method of providing a recommendation for optimizing operations of a set of industrial assets is disclosed. Digital twins of the set of industrial assets are generated. The digital twins include data structures representing states of each of a plurality of subsystems of the set of industrial assets over a time period. The states are estimated based on an application of simulations using cumulative damage models. The cumulative damage models model the effects of exogenous factors on the operation of the set of industrial assets over the time period. The digital twins are analyzed with respect to simulated operating performances to determine an optimized control of operations of the industrial assets. The optimized control of operations is calculated to jointly and severally to increase the specified operating performance criteria in time present and future of the industrial assets or decrease an economic risk associated with the operation of the industrial assets, within a specified probability. The recommendation is presented in a user interface for use in optimizing the operation of the industrial assets or automatically changing operating setpoints pertaining to the industrial assets.
Abstract:
Some embodiments are directed to an Internet of Things (“IoT”) associate to facilitate implementation of a digital twin of a twinned physical system. The IoT associate may include a communication port to communicate with at least one component, the at least one component comprising a sensor or an actuator associated with the twinned physical system, and a gateway to exchange information via the IoT. A computer processor and local data storage, coupled to the communication port and gateway, may receive a digital twin model from a data warehouse via the IoT. The computer processor may be programmed to, for at least a selected portion of the twinned physical system, execute the digital twin model in connection with the at least one component and operation of the twinned physical system.
Abstract:
A system and method for guiding and coordinating vehicular traffic determine tasks to be completed by vehicles in a transportation network in order to complete an objective, allocate the tasks among the vehicles, and determine sets of allowable actions for the vehicles based on the allocation of the tasks. The sets of allowable actions dictate plural different allowable actions that the vehicles are allowed to perform in order to complete the tasks allocated to the vehicles. The allowable actions are determined such that the vehicles are scheduled to complete the tasks and complete the objective without the vehicles colliding or blocking movement of each other. The allowable actions are communicated to the vehicles such that the vehicles are permitted to select one or more of the allowable actions and prohibited from performing one or more other actions during performance of the tasks allocated to the vehicles.