A method using synchronous communication to procure, schedule, coordinate, and deliver materials to a plurality of construction projects with a Calendar Model while using an administrative processor with administrative computer readable media connected to a global communication network and client devices for a plurality of suppliers, a plurality of consultants, a plurality of contractors, and a plurality of administrators. The method includes creating a supplier profile, a contractor profile a consultant profile, construction project and an administrative profile in the geographic database.

An industrial integrated development environment (IDE) includes a training component that improves the IDE's automated design tools over time based on analysis of aggregated project data submitted by developers over time. The industrial IDE can apply analytics (e.g., artificial intelligence, machine learning, etc.) to project data submitted by developers across multiple industrial enterprises to identify commonly used control code, visualizations, device configurations, or control system architectures that are frequently used for a given industrial function, machine, or application. This learned information can be encoded in a training module, which can be leveraged by the IDE to generate programming, visualization, or configuration recommendations. The IDE can automatically add suitable control code, visualizations, or configuration data to new control projects being developed based on an inference of the developer's design goals and knowledge of how these goals have been implemented by other developers.

A server system is provided that includes a platform server system configured to store platform map data that is geospatially referenced and includes building outline data for one or more buildings, and provide the platform map data to client computer devices. The server system further includes a tenant bounded server system including one or more processors configured to store building floorplan data for a tenant entity, and provide building floorplan data to client computer devices that are authenticated for the tenant entity. The one or more processors of the tenant bounded server system are further configured to receive a set of building floorplan data for a target building included in the platform map data, determine geospatial reference data for the set of building floorplan data by aligning the set of building floorplan data with building outline data of the target building.

A method and system for predicting post-upgrade outcomes in information technology environments through proactive upgrade issue testing. At least with respect to computing, an upgrade may entail the replacement of a product—in the form of hardware, software, and/or firmware—with a newer or better version, which may serve to bring the product up to date, improve the characteristic(s) of the product, and/or resolve any issue(s) inflicting the product. Further, the process of upgrading a product in view of an issue therein is often reactive—that is, it is often required that a customer experiences and reports an issue for a product to a vendor prior to the issuance of an upgrade to the customer that addresses the issue for the product by the vendor. Presently, what is lacking is a mechanism through which product upgrades may be presented to customers proactively in order to minimize product failure and/or downtime.

Examples provide a system and method for managing non-notifying customer orders for pickup. An order manager component identifies orders received from customers that typically do not provide advance notification prior to arrival at an order pickup location. A prioritization component assigns a priority to each order based on a per-customer confidence level. Customers providing notification and new customers receive the highest priority. Non-notifying customers having consistent pickup times associated with a threshold minimum number of previous orders receive a second highest priority. Non-notifying customers having inconsistent pickup arrival times and/or fewer than the threshold number of previous orders receive lower priority. A routing schedule is generated for pre-staging the orders based on the assigned priorities, pre-staging area capacity, and/or bot capacity. Totes are moved to the prestaging area based on instructions provided in the routing schedule.

An automated hydraulic fracturing system and method for controlling various aspects of a fracking operation is disclosed. A master controller receives various operating parameters, such as desired operating conditions, information about a fracking site, information about trailers and/or other equipment at the fracking site, and/or sensor signals. The master controller may access one or more trailer model(s) that model various parameters of equipment (e.g., engines, transmissions, pumps, trailers, etc.) at the fracking site as a function of controlled operating conditions. The master controller uses the trailer models in conjunction with operating parameters to generate control signals that automatically control the various equipment at the fracking site to optimize various desired outcomes, such as reduced operating costs, reduced emissions, reduced idle time, increased efficiency, etc. The control signals are sent to controllers of the individual equipment to control the operations of those equipment and achieve an overall optimized fracking operation.

Apparatuses and methods of operating the same are described. An apparatus including a display, an input device, and a processing device coupled to the display and the input device. The processing device may send an output to the display. The output may include a graphical object associated with a first step of a user-implemented procedure. The processing device may receive an input from the input device. The input may indicate a progress on an execution of the first step by an operator. The processing device may determine whether the input indicates that the operator has completed the first step. The processing device may determine whether the first step is a final step in the user-implemented procedure. The processing device may identify a second step in the user-implemented procedure when the input indicates that the operator has completed the first step and the first step is not a final step.

Systems and methods of the present disclosure facilitate managing a business. In some embodiments, the system includes a product data module and a plurality of business process modules executing on at least one processor of a server. The product data module may be configured to store at least one product description. Responsive to a first user, the system may associate a product class with a first description. Responsive to a second user, the system may associate a first product description with a first of the business process modules. The system may be configured to select a second business process module based on the product class and update the second business process module with the first product description.

A signal relationship is defined between a granular data value and a target data value. At least a portion of the granular data value corresponds to a granular latency value that is smaller than a target data latency value corresponding to the target data value. Granular data corresponding to the granular data value is interpreted. The granular data is aggregated in response to the signal relationship. A value of the target data value for a selected time reference is estimated, and the estimated value of the target data value is provided as a nowcasting prediction of the target data value.

The present disclosure discloses a digital construction-based intelligent construction period early warning system and method, which belongs to the technical field of intelligent early warning. The system includes a digital construction module, a data calling module, an initial judgment module, an association analysis module, and an adjustment early warning module. An output end of the digital fabrication module is connected to an input end of the data calling module; an output end of the data calling module is connected to an input end of the initial judgment module; an output end of the initial judgment module is connected to an input end of the association analysis module; and an output end of the association analysis module is connected to an input end of the adjustment early warning module.