When a motor replacement detection portion (4) detects replacement of a motor (M), a control portion (2) of the motor control apparatus executes limiting processing for limiting action of the motor (M), at least until an acceptance portion (5) accepts an input of confirmation information from a user.

A preventive switchover from a primary controller to a secondary controller even before the primary controller fails system and method includes a server that collects log files comprising operational parameters of the primary controller from the primary controller in real-time. The server determines abnormal patterns or signatures in the operational parameters of the primary controller by comparing the operational parameters with reference patterns or signatures. The reference patterns or signatures are generated by training one or more Artificial Intelligence (AI) based models. After determining the abnormal patterns or signatures, the server predicts events that will lead to switchover from the primary controller to the secondary controller. Thereafter, the server provides a signal to the primary controller to perform preventive switchover to the secondary controller before the primary controller fails.

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.

This disclosure includes systems and methods for optimizing aeration in wastewater treatment. The techniques described herein include receiving data for a wastewater treatment plant, the data being descriptive of water quality over a period of time. The techniques further include developing a predictive model for future water quality based on the received data. The techniques also include determining, based on the predictive model, a plurality of DO setpoints and airflow rates for the wastewater treatment plant. The techniques further include controlling an aeration system for the wastewater treatment plant using the plurality of DO setpoints and the airflow rates.

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 virtual controller is configured to send control commands to an edge controller such as in I/O module that is connected to a building management system component. The IO module is configured to communicate with the virtual controller and to provide local control commands to the building management system component that are based upon the control commands from the virtual controller when communication with the virtual controller is determined by the IO module to be functioning normally and are based upon one or more fail-safe commands generated by the IO module when communication with the virtual controller is determined by the IO module to not be functioning normally.

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 system for a marine vessel includes a first peripheral device including a controller, and a second peripheral device. A first serial bus connects the controller to the second peripheral device. At least one sensor is coupled to the controller via a second serial bus. The first peripheral device's controller can do one or more of the following: automatically control switches in the first peripheral device in response to information from the sensor; stage the first peripheral device upon start-up of the system; diagnose a malfunction of the first peripheral device and control the second peripheral device in response to determining that the first peripheral device is malfunctioning; and/or report a status of the first peripheral device over the serial bus.

Described is a system for monitoring deflection of turbine blades of a wind turbine comprising a tower. The system comprises a position detecting apparatus mounted to the wind turbine, the position detection apparatus comprising position detection components each detecting a presence or absence of a corresponding one of the segments of the turbine blades; and a deflection controller configured to receive the presence or absence detection and to use the presence or absence detection to determine a distance of each of the segments of the turbine blades relative to the tower, whereby the distance of each of the segments of the turbine blades relative to the tower is representative of the deflection of the turbine blades.