A system for cause and effect analysis for unsupervised anomaly detection is provided. The system accesses a connected system having a plurality of production and/or process lines. Each production line includes a plurality of operational assets. The processor is configured to access scheduling and production data corresponding to a plurality of products manufactured in each of the plurality of production lines. The processor is configured to access sensor data and asset configuration data and asset anomaly data corresponding to each of the plurality of operational assets. The processor is configured to analyze the sensor data, asset configuration data and asset anomaly data for each of the plurality of operational assets to generate an anomaly graph representation. The processor is configured to determine one or more anomalies and/or deviating events for the plurality of operational assets and associated causal inferences for the one or more anomalies and/or deviating events based on the generated anomaly graph representation.

A method and mobile device are provided for managing safety aspects associated with assets of a compressed gas system. The mobile device captures a unique identifier coupled to and associated with an asset of a compressed gas system, establishes a wireless connection with a remote database storing historical data associated with the asset, and displays prompts related to the asset where the prompts include asset-inspection-criteria prompts. User-supplied responses to the prompts are received at the mobile device. The mobile device then transmits the responses via the wireless connection to the remote database for inclusion with the historical data associated with the asset.

A method of remotely configuring one or more building system components at a building site uses a cloud-based server remote from the building site. The cloud-based server receives information from an intelligent gateway at the building site that identifies each of one or more building system components at the building site. The cloud-based server is used to create a site configuration that is based at least in part on the identified information for each of the one or more building system components. The site configuration is then downloaded from the cloud-based server to the intelligent gateway such that the intelligent gateway is able to pass configuration information to one or more local controllers that control operation of the one or more building system components.

Examples of techniques for threat detection in an industrial process system are described herein. An aspect includes determining a plurality of subsystems of an industrial process system. Another aspect includes, for each of the plurality of subsystems, constructing and training a respective deep autoencoder (DAE) model of the subsystem based on data corresponding to the industrial process system. Another aspect includes monitoring the industrial process system using the plurality of DAE models corresponding to the plurality of subsystems. Another aspect includes, based on the plurality of DAE models, determining a cyberattack in a subsystem of the plurality of subsystems.

A remote monitoring system includes a plurality of data collection devices and a data aggregation device. Each data collection device acquires, from one or more installed apparatuses, a set of data including information representing at least either an operational situation or operational detail of one or more installed apparatuses. Each data collection device stores collection side definition information for extracting the apparatus data from the set of data including the apparatus data and makes a request to the data aggregation device to update the collection side definition information when a predetermined condition is satisfied. The data aggregation device stores aggregation side definition information for extracting the apparatus data from the set of data, and transmits, when the request is received from one or more of the data collection devices, information for updating based on the aggregation side definition information to the one or more of the data collection devices. The data collection devices that have received the information for updating each update the collection side definition information by using the information for updating.

The present disclosure provides a method for managing a pipe network of natural gas. The method may comprise: obtaining pipe network information of natural gas in at least one area, the pipe network information including a running time of a system of the pipe network of the natural gas and gas leakage information of thepipe network; extracting feature information based on the running time and the gas leakage information;predicting a maintenance time of the pipe network by inputting the feature information into a maintenance time prediction model.

A method for diagnosing faults includes receiving a system description of a thermal hydraulic system, the system description indicating a plurality of components and sensors. The method also includes constructing, based on physical conservations laws and using the system description, a plurality of physics-based models for the plurality of components, each of the plurality of physics-based models including unknown parameters. The method further includes receiving historical measurements and calibrating the physics-based models by calculating the unknown parameters of each of the physics-based models using the historical measurements to produce calibrated models. The method also includes receiving sensor measurements of the sensors, and calculating residuals corresponding to differences between measurements predicted by the plurality of calibrated models and the sensor measurements. The method also includes determining, based on the calculated residuals, a fault of a component or a sensor, and generating an alert indicating the fault.

An edge device is configured to automatically establish a connection with a remote monitoring device when an abnormality has occurred in a plant. The edge device includes a controller configured to detect the abnormality based on data regarding an observation target device, and a connection establishment unit configured to establish a connection with the remote monitoring device such that the remote monitoring device is able to remotely access the edge device when the controller has detected the abnormality and determined that the abnormality matches a predetermined condition, wherein the remote access is a connection for remotely checking a state of the observation target device, or for enabling a remote manipulation of the observation target device.

A system and method include receiving time series values of one or more sensed parameters of a product manufacturing processes. The received time series values are compared to desired time series values to detect one or more anomalies in the received time series values. An action to apply to the product manufacturing process product is determined based on the one or more detected anomalies is orchestrated by an intelligent workflow engine, that derives inferences from analytics, heuristics rules, skills, and a knowledge library.

A data transmission system and method for an engine of an aircraft. Engine fault data indicative of at least one fault condition of the engine is obtained at a computing device provided on-board the aircraft. Sensor data associated with the at least one fault condition is retrieved based on the engine fault data. The engine fault data and the sensor data are transmitted, through a wireless connection, to an electronic device external to the aircraft.