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.

Methods and systems for data collection in an environment including pumps and fans are disclosed. A monitoring system may include a data collector communicatively coupled to a plurality of input channels, wherein the input channels are communicatively coupled to sensors measuring operational parameters of a pump or fan. A data storage may store one or more frequencies related to an operation of the pump or fan, and a data acquisition circuit may interpret a plurality of detection values from the collected data. A frequency evaluation circuit may detect a signal on one of the input channels at a frequency higher than the one or more frequencies at which the pump or fan operates.

Systems and methods for monitoring and remote balancing a motor are disclosed. An exemplary system may include a plurality analog sensors operationally coupled to a motor, an analog switch communicatively coupled to at least one of analog sensors, wherein a first analog sensor input is a trigger channel and a second is an input channel. The analog switch may digitally derive a relative phase between the trigger channel and the input channel using a phase-lock loop (PLL) band-pass tracking filter on at least one of the analog sensor channels to obtain one of slow-speed rotations per minute (RPMs) or phase information for the motor. A response circuit may recommend a change in a process or an operating parameter of the motor to remotely balance the motor based on one or more of the slow-speed RPMs or the phase information.

Systems and methods for monitoring a pump and a fan are disclosed. A monitoring system for a pump may include an industrial system including a pump, a data acquisition circuit to interpret a plurality of detection values corresponding to at least one of a plurality of input sensors operationally coupled to the pump and communicatively coupled to the data acquisition circuit. A monitoring system may further include a signal evaluation circuit including a timer circuit 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 detection values and at least one of the timing signals from the timer circuit. A response circuit may perform at least one operation in response to the relative phase difference.

A system for managing grid interaction with a solar power source includes an energy exchange server, a plurality of solar energy sources, 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 a solar energy source, 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 system for managing grid interaction with a wind power source includes an energy exchange server, a plurality of wind energy sources, 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 a wind energy source, 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.

Interconnection meter socket adapters are provided. An interconnection meter socket adapter comprises a housing enclosing a set of electrical connections. The interconnection meter socket adapter may be configured to be coupled to a standard distribution panel and a standard electric meter, thereby establishing connections between a distribution panel and a user such that electrical power may be delivered to the user while an electrical meter measures the power consumption of the user. A power regulation module is disposed between the interconnection meter socket adapter, and configured to selectively connect one or more energy sources or energy sinks.

A system for identifying a state of a target of an industrial environment that generally includes a first handheld device including one or more sensors configured to record a first type of state-related measurement; a second handheld device including one or more sensors configured to record a second type of state-related measurement; and a server that receives the first type of state-related measurement from the first handheld device and the second type of state-related measurement from the second handheld device. The server includes intelligent systems configured to: process the first type of state-related measurement and the second type of state-related measurement against pre-recorded data stored within a knowledge base to identify the state of the target; and update the pre-recorded data according to at least one of the first type of state-related measurement or the second type of state-related measurement.

A system for predicting a service event from vibration data generally includes an industrial machine comprising at least one vibration sensor disposed to capture vibration of a portion of the industrial machine; a vibration analysis circuit in communication with the at least one vibration sensor; a multi-segment vibration frequency spectra structure that facilitates mapping the captured vibration to one vibration frequency segment of a multi-segment vibration frequency; a severity unit algorithm that receives the frequency of the captured vibration and the corresponding vibration frequency segment and produces a severity value which is then mapped to one of a plurality of severity units defined for the corresponding vibration frequency segment; and a signal generating circuit that receives the one of the plurality of severity units, and based thereon, signals a predictive maintenance server to execute a corresponding maintenance action on the portion of the industrial machine.

An industrial machine predictive maintenance system generally includes a mobile data collector swarm comprising one or more mobile data collectors configured to collect health monitoring data representative of conditions of one or more industrial machines located in an industrial environment; an industrial machine predictive maintenance facility that produces industrial machine service recommendations responsive to the health monitoring data by applying machine fault detection and classification algorithms thereto; and a computerized maintenance management system (CMMS) that produces at least one of orders and requests for service and parts responsive to receiving the industrial machine service recommendations.