Various embodiments of the present technology generally relate to unmanned aerial vehicle (UAV) scale rendered analysis, orthomosaic, and 3D mapping and landing platform systems. More specifically, some embodiments relate to systems, methods, and means for the collection and processing of images captured during a UAV flight sequence. In some embodiments, the UAV landing platform retrieves flight information and initial map information over a unidirectional virtual private network from a multitenant cloud-based scheduling application. The UAV landing platform sends the initial map information to a UAV over a WiFi, Bluetooth, or radio frequency network and initiates a drone flight sequence once the drone flight sequence has been approved by a local user. The UAV landing platform receives property image data from a UAV after a UAV flight sequence has ended and transmits the received property image data back to the cloud application.

Reusability of deployment plans and dependencies thereof. A method defines contracts as between multiple deployment plans, the contracts representing dependencies between them; defines wait task(s) in a first set of the deployment plans, a wait task being associated with a contract and completion of the wait task and progression of a deployment plan in which the wait task is defined being dependent on satisfaction of the contract; defines signal task(s) in a second set of the deployment plans, satisfaction of the contract being based on status of signal task(s); selects a collection of deployment plans for concurrent execution, at least one contract of the contracts representing at least one dependency between the collection; and manages the concurrent execution of the collection. Managing controls progression of the execution by enforcing the at least one contract, which enforces the at least one dependency between the collection in the execution of the collection.

A human resource development support system calculates, for each agent, a profitability indicator value that is a value of an indicator of profitability of the agent on the basis of order histories for customers regarding industrial machinery at the agent. Then, the human resource development support system generates, for each agent, reference information capable of identifying a grade of service personnel for which human resource development is to be strengthened, on the basis of the calculated profitability indicator value and on the basis of constitution information indicating the numbers of service personnel belonging to the agent for individual grades.

The disclosed technology provides computer-to-wireless-voice integration methods and systems. In some implementations, the methods and systems deliver real-time voice instructions to users of required time-sensitive actions and ensure that such directives are received and a recipient effectively acts on the directives. The systems and methods include receiving a notification of an event from a terminal in a wireless active voice engine (WAVE) system, determining an active voice directive corresponding to the event with a WAVE module, converting the active voice directive into a voice event via a directive converter, and notifying a targeted recipient of the active voice directive corresponding to the event with a communications module. In some implementations, the systems and methods include sending a confirmation event via the receiver to the communications module that the active voice directive was received by the targeted recipient and communicating the active voice directive has been completed.

A method and an apparatus and a computer program product are provided that can monitor thermal mass or thermal energy sources available at remotely-located equipment using wired or wirelessly connected sensors. The method may include to receiving measurements captured by one or more sensors coupled to the equipment, the measurements including measurements indicating remaining quantities of thermal mass or thermal energy sources available for use by the equipment, monitoring replenishment events in which the thermal mass or thermal energy sources are resupplied, generating a thermal efficiency and usage or characteristic describing thermal efficiency and a cycle of usage of the thermal mass or thermal energy sources based on historical measurements of thermal efficiency and quantities of thermal mass or thermal energy sources consumed and stored by the equipment and a history of replenishment events, and scheduling one or more replenishment events based on the usage characteristic.

An assembly planning device: holds a partial-order graph showing assembly operations of parts and an order constraint based on a partial-order relationship of the assembly operations, an operation sequence template showing an operation sequence and a required time of the operation sequence, and part information showing parts that can be assembled by robots; refers to the part information to generate allocation plans in which the robot are allocated to the assembly operations shown by the partial-order graph; for each of the allocation plans, refers to the operation sequence template to allocate an operation sequence for each assembly operation shown by the allocation plan; calculates movement times of the robots in the allocated operation sequence; calculates an operation time in the allocation plan based on the movement times and the required time shown by the operation sequence template; and selects an allocation plan based on the operation times.

An assembly planning device: holds a partial-order graph showing assembly operations of parts and an order constraint based on a partial-order relationship of the assembly operations, an operation sequence template showing an operation sequence and a required time of the operation sequence, and part information showing parts that can be assembled by robots; refers to the part information to generate allocation plans in which the robot are allocated to the assembly operations shown by the partial-order graph; for each of the allocation plans, refers to the operation sequence template to allocate an operation sequence for each assembly operation shown by the allocation plan; calculates movement times of the robots in the allocated operation sequence; calculates an operation time in the allocation plan based on the movement times and the required time shown by the operation sequence template; and selects an allocation plan based on the operation times.

A computing system accesses one or more data sources to determine maintenance optimization data associated with an asset within a set of assets. The maintenance optimization data may include one or more of: upcoming maintenance events for the asset, such as may be predicted based on analysis of historical maintenance information of the asset, a time series of predicted value of the asset over a time period around the upcoming maintenance event, such as within a few days or hours of the maintenance event, and/or a recommended window of time to initiate and/or perform upcoming maintenance events, which may be based on a combination of the expected upcoming maintenance events, and the time series of predicted value of the particular asset, for example.

Aspects of the disclosure relate to distributing vehicles to perform scouting. This may involve receiving a request for a scouting objective for a vehicle, and in response, identifying a set of scouting objectives that the vehicle is eligible to visit. Each scouting objective of the set is associated with one or more scouting quests, and each scouting quest is associated with a plurality of scouting objectives. For each given scouting objective in the set of scouting objectives, an overall weight may be determined using combined weights for the given scouting objective and any scouting quests with which the given scouting objective is associated. One or more scouting objectives of the set of scouting objectives may be selected using the determined overall weights. The one or more selected scouting objectives may be provided to the vehicle.

A method for augmenting procedures at production equipment includes: linking a first description of a first step in a procedure and a capture type to a first capture field; generating a digital draft procedure comprising descriptions of steps extracted from the procedure and the first capture field specifying data capture of the first capture type from an equipment unit; generating augmented guidance for the first step in the procedure based on visual content recorded by a mobile device—assigned to an exemplary operator—during completion of the first step in the digital draft procedure; linking the augmented guidance to a location proximal the equipment unit based on locations of the first mobile device during completion of the first step in the digital draft procedure; and generating an augmented digital procedure based on steps in the procedure, the augmented guidance, and definitions for data capture according to the first capture field.