A system comprising; analyzing a building model, wherein a set of roof trusses are isolated from other assemblies; processing a first set of data associated with the coordinates of the roof trusses; processing a second set of data associated with the assembly of the roof trusses; creating a set of data associated with the assembly of the roof truss and the coordinates of a set of roof truss members; formulating an assembly of the roof truss, wherein the assembly is a predetermined organization of the roof trusses based on the first set of data and the second set of data; calculating the assembly based on a set of limitations, wherein the limitations are based on the shipping vessel; manipulating the assembly, wherein the manipulated assembly is within the limitations of the shipping vessel; and generating a graphical representation of the manipulated assembly.

Disclosed techniques include controlled liquefaction and energy management. A gas within a first pressure containment vessel is pressurized using a column of liquid. The gas that is being pressurized is cooled using a liquid spray, wherein the liquid spray is introduced into the first pressure containment vessel in a region occupied by the gas. The liquid spray keeps the pressurizing to be isothermal. The gas that was pressurized is metered into a second pressure containment vessel, wherein the metering enables liquefaction of the gas. The gas that was pressurized is stored in a gas capacitor prior to the metering. The gas that was liquefied in the second pressure containment vessel is pushed into a holding tank, wherein the holding tank stores a liquefied state of the gas, and wherein the pushing is accomplished by the pressure of the gas that was metered into the second pressure containment vessel.

Systems and methods for aggregating and integrating distributed grid element inputs are disclosed. A data platform is provided for a distribution power grid. The data platform provides a crowd-sourced gaming system for identifying grid elements and determining dynamic electric power topology. The data platform also provides an interactive interface for displaying a view of a certain area with identified grid elements. The data platform communicatively connects to the identified grid elements, collects data from the identified grid elements, and manages the distribution power grid.

An embodiment of the present invention monitors a process across a plurality of systems associated with a supply chain. A context is determined for an order, where at least one of the features of the context includes information from a networked sensing device. One or more first machine learning models identify a plurality of orders of an order history having features corresponding to the order. A second machine learning model is trained with the identified plurality of orders to predict the monitoring interval for the order. The second machine learning model predicts the monitoring interval for the order based on the context of the order. The monitoring interval for the order is dynamically adjusted based on the predicted monitoring interval, and the order is monitored through an order fulfillment process across the plurality of systems associated with the supply chain in accordance with the adjusted monitoring interval.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and utilizing provider device balance graphs reflecting device utilization ratio between provider devices and requester devices. In particular, in one or more embodiments, the disclosed systems determine and utilize probabilities to generate and provide provider device balance graphs based on probability distributions for device utilization ratios. The disclosed systems can apply various scaling models to address seasonality, special events, and/or differences between regions. The disclosed systems can also apply thresholds to generate device incentive graphs that more efficiently deploy provider devices across a transportation matching system.

A method of maintaining a plurality of infrastructure components as part of a transmission network for a utility service in a defined geographic region having associated environmental characteristics, wherein each infrastructure component is deployed at a location in the region having associated one or more location characteristics and is of a component type having associated one or more infrastructure characteristics. The method including for each infrastructure component, executing a classifier based on one or more of the infrastructure characteristics, the location characteristics, and the environmental characteristics to forecast a measure of susceptibility of the infrastructure component to one or more operational impediments. The method further includes selecting an infrastructure component based on the forecast susceptibilities and deploying one or more mitigation measures for the selected infrastructure component to mitigate one or more operational impediments to which the selected component is determined to be susceptible based on the forecast susceptibilities.

Various embodiments are provided for correlating regulatory data in a computing environment by a processor. A rule may be associated with one or more textual paragraphs extracted from a policy document that describes at least a portion of the rule.

The present invention is a method for accessing a model of a building; selecting a set of floor joists, wherein the floor joists are identified by a set of members, the type of members, and the member properties; isolating a plurality of the floor joists, wherein the floor joists interface with another floor joists in a horizontal type interface; selecting members of the floor joists involved in the interface, wherein the interface is identified as a connection between the floor joists; detecting the member type and the interface type; calculating a set of actual values associated with the interface type; comparing the set of actual values with a set of required values and determining the delta of the actual values and the required values; and identifying each interface where the delta is outside a predetermined range.

A remote driving taxi system provides a mobility service using remote driving taxis that are driven by remote drivers. Management information indicates assignment states between the remote driving taxis and the remote drivers. The remote driving taxi system executes an assignment process based on the management information, in response to a request from a user. Specifically, the remote driving taxi system selects one of unassigned taxis to each of which the remote driver has not been assigned, as a first remote driving taxi that provides the service to the user. Further, the remote driving taxi system selects one of remote drivers each of which has not been assigned to the remote driving taxi, as a first remote driver that provides the service to the user. Then, the remote driving taxi system assigns the first remote driver to the first remote driving taxi.

A system and method for delivering promotional rewards to a customer mobile device comprising a promotional reward wheel, a media server, and messaging application operating on the customer's mobile device. A customer interacts with the promotional reward wheel and the system captures that interaction and responsive to the promotional reward that was won by the interaction, generates a message on the customer's mobile device with a means to claim the reward by sending the generated message to the appropriate message endpoint.