A tool is equipped with a torque sensor, suited for a tightening task of a fastening component of a device such as a fluid control system that requires a large number of fastening components for assembly and has a narrow space for access to the fastening components, and capable of automatically detecting a tightening torque. The tool includes a torque sensor capable of detecting a tightening torque for tightening a fastening component acting on a bit. The torque sensor initiates measurement of the tightening torque when the tightening torque detected exceeds a set threshold value, completes measurement when the tightening torque detected falls below the set threshold value and a set time elapses, and outputs torque-related data formed on the basis of measurement data from measurement initiation to measurement completion and including a measurement time. The torque-related data includes a peak value of the measurement data.

Systems and methods for implementing one or more compiled workflows at a biological foundry are provided. A representation of an uncompiled workflow to produce engineering targets is obtained. The representation is translated into a first corresponding instance of a compiled workflow. If the translation satisfaction of various threshold translation criteria is determined, and the first corresponding instance of the compiled workflow is executed to complete a first portion of manufacture of the engineering targets. If the executing satisfaction of various threshold execution criteria is determined, the representation is translated into a second corresponding instance of the compiled workflow different from the first corresponding instance. If this translation satisfaction of the various threshold translation criteria is determined, the second corresponding instance of the compiled workflow is executed to complete a second portion of the manufacture of the engineering targets.

The present disclosure relates to a bill of material (BM) automatic calculation method for plant stationary equipment, and more particularly, to a BM automatic calculation method for plant stationary equipment capable of automatically calculating BM data for purchasing a plate required quantity required for manufacturing stationary equipment through cutting plan and optimization deployment in order to manufacture stationary equipment using data extracted from a strength calculation program of the plant stationary equipment prepared in a plant engineering step. The present disclosure has an advantage of greatly reducing the labor force by automatically calculating the cutting plan drawing, the nesting plan drawing, and required BM of the plate of the stationary machine which has been manually performed in the related art.

In an example, a method is performed by a computing system that is one of a group of computing systems involved in facilitating a manufacturing of an aircraft. The method comprises generating a plurality of manufacturing task work statements (MTWSs), each MTWS being associated with a task involved in the manufacturing and comprising smart contract data and computer code. The method also comprises receiving system state information indicating (i) a schedule according to which the aircraft is to be manufactured, (ii) resources available for use in executing the MTWSs, and (iii) one or more aircraft certification requirements with which the tasks involved in the manufacturing of the aircraft are to comply. The method also comprises executing the MTWSs based on the system state information and storing, in a blockchain-based distributed ledger accessible by the group of computing systems, an end state result of the execution of each MTWS.

Techniques for task management in a parallel processing environment are disclosed. For example, a method comprises obtaining an indication of a data load for a given task, a time range within which the given task is to be executed, and a resource utilization limit for executing the task. The method computes a number of processes to be instantiated to execute the given task for the data load within the time range and the resource utilization limit. The method then schedules the given task to be executed by the computed number of processes in a parallel processing environment.

A production assistance system which generates steps for producing a product on the basis of an order including information which should specify the product to be produced, a quantity or count by which the product is to be produced, and a due date by which the production is to be completed is provided with an input unit for inputting the order; a schedule computation unit for generating, on the basis of the order input by the input unit, a schedule including information relating to a plurality of operation machines required to produce a product specified by the order, steps assigned to the respective operation machines, and a time required to execute each of the steps; a step division information providing unit for dividing the steps of the generated schedule into a plurality of tasks as information which can be interpreted and executed by the operation machines; and a step instruction unit for outputting instructions to the operation machines on the basis of the tasks from the step division information providing unit.

It is proposed a method for factory operation. The method includes providing manufacturing tasks each represented by a law describing a manufacturing of a product by one or more manageable machines. The method includes obtaining one or more manufacturing constraints and one or more manufacturing events. The method includes determining an operating mode of the factory based on the one or more manufacturing constraints and on one or more product constraints. The determining includes one or more iterations. Each iteration computes a respective propensity of each manufacturing task representing a frequency with which the task is chosen for manufacturing the product given the constraints and/or a previous event(s) occurrence. The iteration ranks the tasks according to a propensity descending order. The iteration visits the tasks according to the ranking and affecting to each task one or more manageable machines and resources. The iteration executes the tasks until an event(s).

Systems and methods to design part weld processes using media libraries are disclosed. An example system to generate weld instructions for display to a weld operator during a welding sequence, the system including: a processor; and a machine readable storage device comprising machine readable instructions which, when executed by the processor, cause the processor to: provide an interface to define a weld program comprising a sequence of weld instructions for display to a weld operator during a weld sequence; in response to an input specifying a location of an object in a media library, defining an element in the weld program based on an identifier of the object in the media library; and generating the weld program by including the identifier of the object in the media library in association with the element.

Systems and methods to design part weld processes using media libraries are disclosed. An example system to generate weld instructions for display to a weld operator during a welding sequence, the system including: a processor; and a machine readable storage device comprising machine readable instructions which, when executed by the processor, cause the processor to: provide an interface to define a weld program comprising a sequence of weld instructions for display to a weld operator during a weld sequence; in response to an input specifying a location of an object in a media library, defining an element in the weld program based on an identifier of the object in the media library; and generating the weld program by including the identifier of the object in the media library in association with the element.

Systems and methods for providing power search and harvesting in a drone device provide execution of one or more tasks, wherein one of the tasks has a higher priority than the remaining tasks. A power mode is determined for executing the highest priority task by sequentially determining whether the highest priority task can be executed in one of a plurality of execution scenarios including from a charging pad associated with the drone, from another location using energy harvested from an existing energy source, from another location using energy harvested from an energy source enabled by the drone, or from another location using battery power alone. The highest priority task is executed in keeping with the first usable execution scenario found during the sequential determination.