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.

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.

Systems and methods for controlling chlorinators for pools and spas are provided. A controller communicates with a processor positioned within a replaceable cell cartridge of a chlorinator, to allow for remote control and diagnosis of the chlorinator and/or cell cartridge. The cell cartridge stores, in non-volatile memory on board the cartridge, one or more parameters associated with the cartridge. The controller can obtain this information from the processor of the cell cartridge, and can use same to configure operation of the chlorinator. Information relating to remaining cell life can be updated by the controller and stored in the non-volatile memory of the cell cartridge. Electrical and software-based mechanisms are provided for ensuring operation of only compatible cell cartridges with the chlorinator. A system for remotely diagnosing errors associated with the chlorinator is also provided.

An equipment failure diagnosis apparatus, an equipment failure diagnosis method, a smart factory system, and an application agent configured to generate a virtual abnormal signal based on a normal signal data stored in the database, determine whether an equipment signal is an abnormal signal based on a virtual abnormal signal data for the virtual abnormal signal, and output a determination result information. Accordingly, the present disclosure can quickly and accurately diagnose a failure of equipment in a factory, even under conditions where labeling data is not present or insufficient.

A system for performing industrial automation control may include an audio device that receives audio data from an element in an industrial automation system. The audio device may determine orientation data based on the audio data. In addition, the audio device may determine an automation command to control a machine in the industrial automation system based on the audio data and the orientation data. After determining the automation command, the audio device may implement a first control action for the machine based at least in part on the automation command, where the first control action causes the machine to adjust an operation.

A method includes recording operation of equipment into an audio file and transforming the audio file into image data. The image data is input into a machine learning model to determine whether the image data is indicative of a desired operation of the equipment or an undesired operation of the equipment. A system includes an audio sensor configured to record operation of equipment and create an audio file, and one or more processors. The one or more processors transform the audio file into image data and input the image data into the machine learning model to determine whether the image data is indicative of a desired operation of the equipment or an undesired operation of the equipment.

Systems, methods and an apparatus for data monitoring. A system may include 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 communicatively coupled to the data acquisition circuit; a data storage circuit structured to store specifications and anticipated state information for a plurality of pump and fan types; an analysis circuit structured to analyze the plurality of detection values relative to specifications and anticipated state information to determine a pump or fan performance parameter; and a response circuit structured to initiate an action in response to the pump or fan performance parameter.

A controller of a machine tool includes: a position command calculation unit which calculates a position command for relatively moving a workpiece and a tool; an oscillation operation execution determination unit which analyzes a machining program and which determines whether or not an oscillation operation of relatively oscillating the workpiece and the tool is performed in a machining block; an oscillation operation intermittent execution determination unit which determines, when it is determined that the oscillation operation is performed, in the machining block, based on the state of the machine tool, whether the oscillation operation is enabled or disabled so as to determine whether or not the oscillation operation is intermittently performed; an oscillation command calculation unit which calculates, when it is determined that the oscillation operation is enabled, an oscillation command for relatively oscillating the workpiece and the tool; and an adder which adds the position command and the oscillation command together.

Methods and systems for a data marketplace in a fluid conveyance device includes a self-organizing data marketplace. The self-organizing data marketplace includes at least one data collector and at least one corresponding fluid conveyance device in an industrial environment, wherein the at least one data collector is structured to collect detection values from the fluid conveyance device; a data storage structured to store a data pool comprising at least a portion of the detection values; a data marketplace structured to self-organize the data pool; and a transaction system structured to interpret a user data request, and to selectively provide a portion of the self-organized data pool to a user in response to the user data request.

A platform for updating one or more properties of one or more digital twins including receiving a request for one or more digital twins; retrieving the one or more digital twins required to fulfill the request from a digital twin datastore; retrieving one or more dynamic models corresponding to one or more properties that are depicted in the one or more digital twins indicated by the request; selecting data sources from a set of available data sources based on the one or more inputs of the one or more dynamic models; obtaining data from selected data sources; determining one or more outputs using the retrieved data as one or more inputs to the one or more dynamic models; and updating the one or more properties of the one or more digital twins based on the one or more outputs of the one or more dynamic models.