A method and an apparatus for collecting powder samples in real-time in powder bed fusion additive manufacturing may involves an ingester system for in-process collection and characterizations of powder samples. The collection may be performed periodically and uses the results of characterizations for adjustments in the powder bed fusion process. The ingester system of the present disclosure is capable of packaging powder samples collected in real-time into storage containers serving a multitude purposes of audit, process adjustments or actions.

A method and an apparatus for collecting powder samples in real-time in powder bed fusion additive manufacturing may involves an ingester system for in-process collection and characterizations of powder samples. The collection may be performed periodically and uses the results of characterizations for adjustments in the powder bed fusion process. The ingester system of the present disclosure is capable of packaging powder samples collected in real-time into storage containers serving a multitude purposes of audit, process adjustments or actions.

A method according to the disclosure configures a processor to predict metal loss in a structure for remediation. The method uses a machine learning model, trained based upon historical data, to predict metal loss over locations of a structure at a time of the prediction. The method identifies from among the predicted locations a high-risk location on the structure in which a magnitude of metal loss indicates potential remediation being needed, dispatches a robotic vehicle to the high-risk location on the structure and inspects the high-risk location using the robotic vehicle to confirm whether the magnitude of metal loss at the location requires remediation. In further methods, remediation is performed. In still further methods, a three-dimensional visualization of the structure is generated with an overlay which depicts predicted metal loss over the sections of the structure.

Event-based replenishment simulation for an enterprise supply chain is described. On a per item, per node, per epoch basis, the simulation may generate a stream of action events based on forecasted demand, supply chain logic, and policy inputs that are applied to a current-run state of the supply chain in order to yield a stream of observation events. Requested metrics may be received, and the observation events may then be transformed to predict values for the metrics as output of the simulation. The simulation may be repeated for a given epoch using discrete demand values from a demand distribution, for a plurality of epochs, and/or across a plurality of items at a plurality of nodes. Resultantly, the simulation output can be used for predicting a future run-state of the supply chain across items and nodes.

An information calculation system acquires a battery load history of a secondary battery that has been used. The information calculation system calculates first degradation states of a plurality of battery constituent elements of the secondary battery, based on the battery load history acquired and a plurality of degradation factors related to each of the battery constituent elements. The information calculation system acquires estimated load information on a load that is estimated to act on the secondary battery when the secondary battery is used in a future application. The information calculation system calculates future second degradation states of the plurality of battery constituent elements of the secondary battery when the secondary battery is used in the future application, based on the first degradation states related to the battery constituent elements calculated, the estimated load information acquired, and the plurality of degradation factors related to the battery constituent elements.

An information calculation system acquires a battery load history of a secondary battery that has been used. The information calculation system calculates first degradation states of a plurality of battery constituent elements of the secondary battery, based on the battery load history acquired and a plurality of degradation factors related to each of the battery constituent elements. The information calculation system acquires estimated load information on a load that is estimated to act on the secondary battery when the secondary battery is used in a future application. The information calculation system calculates future second degradation states of the plurality of battery constituent elements of the secondary battery when the secondary battery is used in the future application, based on the first degradation states related to the battery constituent elements calculated, the estimated load information acquired, and the plurality of degradation factors related to the battery constituent elements.

Systems and methods are provided for requirements engineering, and may include: receiving as input, time series data from at least one of a simulation of a vehicle run on a simulation system, or from the vehicle in operation; a requirements monitoring system checking to determine whether a plurality of requirements for operation of the vehicle are met, wherein the requirements are expressed in signal temporal logic form and a requirement includes at least an associated minimal sampling rate and a filtering policy applicable to the requirement; determining a quantitative conformance for each of selected requirements of the plurality of requirements; and add requirements to a verified requirements set based on the qualitative conformance of the requirements.

Various embodiments of the teachings herein include a method for building a graph-based industrial flow model. The method may comprise: importing a set of entities based on an industrial flow including a user-defined entity and a system-defined entity; querying the model for the user-defined entity, and if found, obtaining a connection of the user-defined entity, otherwise generating a new implementation layer; querying the model for an implementation layer of the user-defined entity, and if found, obtaining a connection of the implementation layer of the user-defined entity, otherwise generating a new implementation layer; querying the model for the system-defined entity, and if the system-defined entity is found, obtaining a connection of the system-defined entity, otherwise generating a new implementation layer; and iteratively performing the above queries until a final graph-based model for the industrial flow results.

A test facility infrastructure control system and method for controlling test environment devices located at a test facility, including: at least one test facility control server that is communicatively coupled to a test facility gateway server that is configured to receive a test configuration to be used in carrying out vehicle testing at the test facility; test environment devices located at the test facility; and one or more test environment controllers; wherein the at least one test facility control server is configured to: receive a test environment control request from the test facility gateway server that specifies one or more test environment devices and includes test environment control instructions that specify a test operation or state of the specified test environment device(s); and send a test environment control message to a selected test environment controller, which causes the specified test environment device to operate according to the test configuration.

A test facility infrastructure control system and method for controlling test environment devices located at a test facility, including: at least one test facility control server that is communicatively coupled to a test facility gateway server that is configured to receive a test configuration to be used in carrying out vehicle testing at the test facility; test environment devices located at the test facility; and one or more test environment controllers; wherein the at least one test facility control server is configured to: receive a test environment control request from the test facility gateway server that specifies one or more test environment devices and includes test environment control instructions that specify a test operation or state of the specified test environment device(s); and send a test environment control message to a selected test environment controller, which causes the specified test environment device to operate according to the test configuration.