An apparatus, methods and systems for data collection related to an oil and gas process and disclosed. A system may include a multi-sensor acquisition component including a plurality of inputs and a plurality of outputs, a sensor data storage profile circuit structured to determine a data storage profile including a data storage plan for the plurality of inputs, a sensor communication circuit structured to interpret a plurality of inputs, a sensor data storage implementation circuit structured to store at least a portion of the inputs in response to the data storage profile, a data analysis circuit structured to analyze the plurality of inputs and determine a data quality parameter, and a data response circuit structured to adjust at least one of the data storage profile and the data collection routine in response to the data quality parameter.

A platform for facilitating development of intelligence in an Industrial Internet of Things (IIoT) system generally includes a plurality of distinct data-handling layers having an industrial monitoring systems layer that collects data from or about a plurality of industrial entities in an industrial environment; an industrial entity-oriented data storage systems layer that stores the data collected by the industrial monitoring systems layer; and an adaptive intelligent systems layer that facilitates the coordinated development and deployment of intelligent systems in the IIoT system; wherein the adaptive intelligent systems layer includes an adaptive edge compute management system that adaptively manages edge computation, storage, and processing in the IIoT system.

A method includes identifying sets of sensor data associated with wafers processed via wafer processing equipment and identifying sets of metrology data associated with the wafers processed via the wafer processing equipment. The method further includes generating sets of aggregated sensor-metrology data, each of the sets of aggregated sensor-metrology data including a respective set of sensor data and a respective set of metrology data. The method further includes causing, based on the sets of aggregated sensor-metrology data, performance of a corrective action associated with the wafer processing equipment.

The preset invention is directed to a building energy management system and method, more specifically to a building energy management system and method that can quickly detect and control an abnormal situation or an emergency situation that may occur within a building.

An anomaly detection method and system for a process instrument, and a storage medium are disclosed. The method includes that: a programmable logic controller (PLC) receives measurement data of a process instrument, the measurement data being periodically stored into a historical database so that a service providing system can perform reading and evaluation. At least one virtual function module is integrated on the PLC, a mapping relation is formed between at least one input channel of each virtual function module and output of at least one anomaly diagnosis algorithm disposed on the service providing system, and each anomaly diagnosis algorithm is used for diagnosing whether an anomaly exists in the process instrument. When an anomaly indication outputted by the service providing system is received via an input channel of the virtual function module, the PLC determines that an anomaly exists in the corresponding process instrument.

The application involves a stability evaluation method and system of direct-drive wind turbine generator, which belongs to the technical field of wind power generation. It solves the problems of poor stability of direct-drive wind turbine generator, low safety performance, failure to realize mutual cooperation between online stability evaluation and parameter adjustment in the existing technology. Firstly, the variation of direct-drive wind turbine generator terminal voltage, current, power and PLL angle of direct-drive wind turbine generator is measured, the terminal energy and the energy negative gradient of direct-drive wind turbine generator is calculated. Then, the system stability is assessed according to the value of energy negative gradient, the influence of the critical parameters on system stability is analyzed and the preliminary adjustment strategy is proposed. It realizes the mutual cooperation between stability level evaluation and parameter adjustment, and improves the working efficiency of the system.

A vehicle control system includes: multiple control units which controls operation of a vehicle including an internal combustion engine, a first electric motor connected to the internal combustion engine, and a second electric motor; and a network connected to the control units such that the control units perform communi cati on with each other. The control units include a first control unit which controls the internal combustion engine, a second control unit which controls the first motor, and a third control unit which controls the second motor, and each detect abnormality in communication via the network among the control units. Upon detection of abnormality in communication between the second control unit and the other control units via the network, the first control unit stops operation of the internal combustion engine, and the third control unit performs control such that the second motor outputs power for the vehicle to travel.

A vacuum apparatus equipped with an automatic transport mechanism for transporting a specimen and a sensor for detecting a state of the vacuum apparatus includes: a determining unit which determines whether a recoverable error has occurred based on a signal from the sensor; and a display control unit which causes, when it is determined that a recoverable error has occurred, a display unit to display a procedure of a recovery operation in a wizard format. The display control unit determines whether the recovery operation has been performed according to the procedure displayed on the display unit based on a signal from the sensor, and causes the display unit to display a next procedure of the recovery operation when it is determined that the recovery operation has been performed according to the procedure.

Methods and systems for a data marketplace in a conveyor environment includes a self-organizing data marketplace. The self-organizing data marketplace includes at least one data collector and at least one corresponding conveyor in an industrial environment, wherein the at least one data collector is structured to collect detection values from at least one sensor of a power roller of the at least one corresponding conveyor; 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 gas turbine engine starting system including an electric start generator (ESG) free of temperature sensors and configured to provide torque to a gas turbine engine. A fuel metering module is configured to provide a quantity of fuel to the gas turbine engine, and an electronic control system (ECS). The ESG includes a plurality of subcomponents. The ECS is configured to predict a future temperature of the ESG, predict that at an ongoing start or an uninitiated start will be unsuccessful, and provide the prediction that at an ongoing start or an uninitiated start will be unsuccessful to an operator. The prediction of the future temperature of the ESG is based on a plurality of historical ESG thermal trending information and an input ambient temperature. The prediction that at an ongoing start or an uninitiated start will be unsuccessful is based on the future temperature of the ESG.