A system for managing grid interaction with an energy storage device includes an energy exchange server, a plurality of energy storage devices, a plurality of interconnect socket adapters, and a plurality of energy exchange controllers, each energy exchange controller coupling to one of the plurality of interconnect socket adapters and dictating energy consumption based on energy pricing data received from the energy exchange server. Each interconnect socket adapter electrically couples to the power grid, one or more energy sinks, and an energy storage device, and the energy exchange server receives a real-time energy consumption data set, a real-time energy production data set, a set of environmental parameters and a starting energy price, and generates a current aggregate electricity demand value as a function of the real-time energy consumption data set and the environmental parameters, a current aggregate electricity supply value as a function of the real-time energy production dataset and the environmental parameters, and a current energy price as a function of the starting energy price, the current aggregate electricity demand value, and the current aggregate electricity supply value.

A power exchange includes an energy exchange server and a plurality of exchange controllers, each exchange controller communicatively coupled to an interconnect socket adapter, wherein the energy exchange server receives a real-time energy consumption data set, a real-time energy production data set, a set of environmental parameters and a starting energy price, and generates a current aggregate electricity demand value as a function of the real-time energy consumption data set and the environmental parameters, a current aggregate electricity supply value as a function of the real-time energy production dataset and the environmental parameters, and a current energy price as a function of the starting energy price, the current aggregate electricity demand value, and the current aggregate electricity supply value.

Methods and systems for noise detection and removal in a mixer/agitator are disclosed. An example monitoring system for data collection in an industrial environment may include a data collector coupled to a plurality of input channels connected to data collection points coupled to at least one of a mixer or an agitator and a data storage to store a plurality of stored system response patterns associated with noise detection during operation. The system may further include a data acquisition circuit to interpret a plurality of detection corresponding to the input channels and a data analysis circuit to remove a background noise from the detection values, analyze the collected data to determine a measured noise pattern; and compare the measured noise pattern to the stored system response patterns to determine an identified noise pattern.

Systems and methods for monitoring a vehicle steering system are disclosed. An example monitoring system for a vehicle steering system may 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 corresponding input sensors operationally coupled to the rack, the pinion, or the steering column; a data storage circuit structured to store specifications, and to buffer the plurality of detection values for a predetermined length of time. The example system may further include a timer circuit structured to generate a timing signal based on a first detected value of the plurality of detection values; a steering system analysis circuit to determine a steering system performance parameter in response to a relative phase difference and a response circuit structured to perform at least one operation in response to the steering system performance parameter.

Methods and systems for noise detection and removal in a motor are disclosed. An example system for monitoring a plurality of components of a motor in an industrial environment may include a data acquisition circuit to interpret a plurality of detection values, each detection value corresponding to a plurality of input sensors operationally coupled to the motor; a data processing circuit to utilize at least one of the detection values to perform at least one noise processing operation on at least a portion of the detection values; a signal evaluation circuit to determine a motor performance parameter in response to the noise processed portion of the of detection values; and a response circuit structured to perform at least one operation in response to the motor performance parameter.

A system for changing a sensed parameter group for oil and gas production equipment includes a data collector communicatively coupled to a plurality of input sensors, each of the plurality of input sensors operatively coupled to a component comprising equipment for an oil and gas production environment; a controller, comprising: a data acquisition circuit structured to interpret a plurality of detection values corresponding to a sensed parameter group, wherein the sensed parameter group comprises at least a portion of the plurality of input sensors; a pattern recognition circuit structured to determine a recognized pattern value in response to the plurality of detection values; and a sensor learning circuit structured to update the sensed parameter group in response to the recognized pattern value.

Methods and systems for sensor fusion in a production line environment are disclosed. An example system for data collection in an industrial production environment may include an industrial production system comprising a plurality of components, and a plurality of sensors each operatively coupled to at least one of the components; a sensor communication circuit to interpret a plurality of sensor data values in response to a sensed parameter group; and a data analysis circuit to detect an operating condition of the industrial production system based at least in part on a portion of the sensor data values; and a response circuit to modify a production related operating parameter of the industrial production system in response to the detected operating condition.

Systems and methods for balancing remote oil and gas equipment are disclosed. An example system may include analog sensors coupled to a piece of equipment and an analog switch with a plurality of analog sensor channels, wherein a first analog sensor channel comprises a trigger channel coupled to a first of the analog sensors, and wherein a second one of the analog sensor channels comprises an input channel coupled to a second sensors. The analog switch may digitally derive a relative phase between the trigger channel and the input channel, utilize a PLL band-pass tracking filter to determine at least one of slow-speed RPMs or phase information for the piece of equipment, and a response circuit that provides a process change command to remotely balance at least one component of the piece of equipment based on the RPMs or the phase information.

Systems and methods for data collection and frequency evaluation for a vehicle steering system are disclosed. An example monitoring system for data collection in a vehicle steering system may include a vehicle steering system comprising a rack, a pinion, and a steering column; a data acquisition circuit to interpret a plurality of detection values corresponding to a plurality of input sensors, each input sensors operationally coupled to the vehicle; and a data storage circuit to store one or more operating frequencies of the vehicle. The example system may further include a frequency evaluation circuit to detect an operating signal, wherein the operating signal comprises a frequency higher than the one or more operating frequencies; and a response circuit structured to perform at least one operation in response to the detected operating signal.

Exemplary embodiments relate to a matching engine for the coordination of electric energy production and consumption, in particular in the presence of uncertainty. The engine provides matching based on uncertainty and flexibility in the electric supply and demand chains. The system can use quantified characterizations of uncertainty and flexibility provided by performance measurements of the elements in the chain.