A system for managing sensors of a building includes a data repository configured to store sensor data from the sensors, a building management system (BMS) controller configured to monitor or control components of the building based on sensor data provided by the sensors, and a sensor diagnostic system. The sensor diagnostic system is configured to receive samples of the sensor data from the sensors, classify each of the samples of the sensor data as faulty or non-faulty, generate supplemental data based on a subset of the samples of the sensor data that are classified as faulty and corresponding attributes of the subset of the samples of the sensor data that are classified as faulty, and provide the supplemental data to the BMS controller to monitor or control the components of the building based on the supplemental data.

Systems for self-organizing data collection and storage in a refining environment are disclosed. An example system may include a swarm of mobile data collectors structured to interpret a plurality of sensor inputs from sensors in the refining environment, wherein the plurality of sensor inputs is configured to sense at least one of: an operational mode, a fault mode, a maintenance mode, or a health status of a plurality of refining system components disposed in the refining environment, and wherein the plurality of refining system components is structured to contribute, in part, to refining of a product. The self-organizing system organizes a swarm of mobile data collectors to collect data from the system components, and at least one of a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs.

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.

A centralized management device includes a sensor data acquirer and an acquisition cycle changer. The sensor data acquirer acquires periodically, by communication, from each of one or more outdoor units, sensor data including measurement results of one or more sensors included by the outdoor unit. When a sign of malfunction is detected in any of the outdoor units, the acquisition cycle changer makes a change to shorten an acquisition cycle of the sensor data for the outdoor unit for which the sign of malfunction is detected.

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.

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.

An apparatus state data structure for controlling a technical apparatus includes at least one capability data field and at least one associated data field. Each capability data field indicates a respective functionality of the technical apparatus. Each associated data field is associated with a respective capability data field. The at least one associated data field includes at least one required component state data field and at least one required diagnostic data field. Each required component state data field indicates a configuration of a respective component required for the functionality of the capability data field associated with the respective required component state data field. Each required diagnostic data field indicates a respective operational state of a component of the technical apparatus required for the functionality of the capability data field associated with the respective required diagnostic data field.

Methods and systems are provided for increasing an accuracy of anomaly detection in assets such as vehicle components. In one example, a method provides for continuous health monitoring of connected physical assets, comprising adapting thresholds for anomaly detection and root cause analysis algorithms for the connected assets based on an aggregation of new connected data using machine learning; updating and ranking advanced statistical and machine learning models based on their performance using connected data until confirming a best performing model; and deploying the best performing model to monitor the connected physical assets.

An apparatus, methods and systems for data collection in an industrial environment are disclosed. A monitoring system can include a data collector coupled to a plurality of sensors to collect data, a data storage structured to store a plurality of data collection management plans, a data acquisition circuit structured to interpret a plurality of detection values from the collected data, and a data analysis circuit structured to analyze the collected data and select one of the plurality of data collection management plans, wherein the selected one of the plurality of data collection management plans is selected is at least in part based on a data analysis of received data from the plurality of sensors.

A method for compensating for a malfunction of a field device, includes monitoring process values transmitted by each field device to a superordinated unit; creating historical data based on the transmitted process values for each field device or the sensor unit; establishing a replacement system based on the historical data, wherein the data processing unit ascertains which process variable of a sensor unit can serve as substitute variable to replace a process variable of a further sensor unit; comparing the current process values of the field device, or the sensor unit, with desired values for precalculating periods of time, in which current process values differ by at least one predetermined value from the desired values; and transmitting the substitute variable to the superordinated unit of the data processing unit during the precalculated periods of time.