Systems and methods for data collection and processing are described, including a plurality of variable groups of industrial sensor inputs operationally coupled to an industrial environment and a multiplexer communicatively coupled to the industrial sensor inputs; and a controller configured to receive and monitor the data and adaptively schedule the data collector.

A program generation device generates a program for controlling machining of a groove which is performed by machining a plurality of holes on a workpiece. The program generation device receives specified values including a tool radius, a groove shape (a length of the groove), and a cusp height and calculates positions of the plurality of holes based on the specified values which are received. Then, the program generation device calculates a machining order of the plurality of holes based on the specified values and respective values calculated by a hole machining set value calculation unit so that a bias is not generated in a removal stock for a tool in machining.

Industrial machines and methods of operating the same. One method includes receiving, with an electronic processor, a current value of a parameter of an industrial machine during operation of the industrial machine and comparing, with the electronic processor, the current value of the parameter to a stored value of the parameter to determine whether the industrial machine is unlevel. The method also includes, when the industrial machine is unlevel, autonomously, with the electronic processor, changing a position of at least one of a plurality of jacks to level the industrial machine, wherein autonomously changing the position of at least one of the plurality of jacks includes at least one selected from a group consisting of extending the at least one of the plurality of jacks and retracting the at least one of the plurality of jacks.

A method and system for drilling a wellbore. A method for drilling a wellbore includes: generating a library of defined patterns, each of the defined patterns corresponding to an operational behavior of drilling equipment used to drill the wellbore; collecting, during operation of the drilling equipment, measurements from sensors coupled to the drilling equipment; characterizing the measurements as correlating to one of the defined patterns; detecting the one of the defined patterns in the measurements; extracting a feature from the measurements; determining a condition of the drilling equipment by comparing a value of the feature to a threshold derived from the one of the defined patterns; and activating an actuator coupled to the drilling equipment to adjust operation of the drilling equipment based on the condition.

The present disclosure describes systems and methods for data collection in an industrial environment having self-organization functionality. A method can include analyzing a plurality of sensor inputs, sampling data received from the sensor inputs, and self-organizing at least one of (i) a storage operation of the data, (ii) a collection operation of sensors that provide the plurality of sensor inputs, and (iii) a selection operation of the plurality of sensor inputs. The method may further include receiving instructions directing a mobile data collector unit to operate sensors at a target, transmitting a communication to one or more other mobile data collector units regarding the instructions, and self-organizing a distribution of the mobile data collector unit.

Systems and methods for data collection and detection of noise patterns. A system may include a data collector communicatively coupled to a plurality of input channels, wherein at least one of the plurality of input channels is operatively coupled to a vibration detection facility structured to detect a noise pattern of an industrial machine, a library to store the detected noise pattern, an interface circuit structured to make the noise pattern available to a noise pattern marketplace, the noise pattern marketplace including a plurality of noise patterns from a plurality of industrial machines, and a user interface for accessing the plurality of noise patterns of the noise pattern marketplace.

Monitoring systems and methods for data collection in an industrial environment are described. A system can include a first and second data collector coupled to input channels and a data acquisition circuit to interpret detection values corresponding to the input channels, wherein the sensor data is acquired from a first route of input channels. A data storage may store sensor specifications for sensors corresponding to the input channels and a data analysis circuit may evaluate the sensor data with respect to stored anticipated state information including an alarm threshold level. When the threshold is exceeded, a communication circuit communicates with a second data collector which transmits a state message related to a first input channel. A response circuit changes a routing of the input channels from a first routing to an alternate routing based on the state message from the second data collector.

A method of performing a wellbore operation may include providing a real-time treatment decision engine, equipment centric decision engine, and equipment controls. The equipment centric decision engine may be configured to interface with the real-time treatment decision engine and the equipment controls. The equipment centric decision may include an operational database comprising wellbore servicing equipment models. The method may further include providing wellbore servicing equipment. The wellbore servicing equipment may be operable to be controlled by the equipment controls. The method may further include sending a command from the real-time treatment decision engine to the equipment centric decision engine. The method may further include evaluating the command using the wellbore servicing equipment models. The method may further include selecting equipment to carry out the command based at least in part on the wellbore servicing equipment models. The method may further include sending a control signal to the equipment controls.

Monitoring systems for data collection in a vehicle steering system include a vehicle steering system comprising a rack, a pinion, and a steering column; a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to at least one of a plurality of input sensors, each of the plurality of input sensors operationally coupled to the rack, the pinion, or the steering column, and communicatively coupled to the data acquisition circuit; a signal evaluation circuit comprising: a timer circuit structured to generate at least one timing signal; and a phase detection circuit structured to determine a relative phase difference between at least one of the plurality of detection values and the at least one timing signal from the timer circuit; and a response circuit structured to perform at least one operation in response to the relative phase difference.

A drilling method is provided allowing drilling in confined spaces with less effort. Two independent data sources are used for reducing tolerances between the component to be joined to the workpiece. The component is measured at the supplier using photogrammetry or laser scanning First geometric data of the component obtained by this measurement are put in a data storage, such as a barcode tag or database. At the manufacturer, the first geometric data are used to position the component relative to the workpiece. Subsequently, the component is measured to obtain second geometric data indicative of the positions and diameters of the component joining holes. After determining a deviation between the first and second geometric data to be smaller than a predetermined threshold, the automatic drill is positioned at the correct drilling location and joining holes are drilled into the workpiece. Finally, the component and the workpiece are joined by fasteners.