The invention relates to a method and system for monitoring a plurality of critical assets (102a-102n) associated with a production/process management system using one or more edge devices (104a-104n). The one or more edge devices (104a-104n) track operations of the plurality of critical assets (102a-102n), which comprises obtaining consolidated information related to the operations of the plurality of critical assets (102a-102n). The one or more edge devices (104a-104n) then derive insights corresponding to the plurality of critical assets (102a-102n) based on the consolidated information using descriptive analytics and an AI/ML model (114) and derive a set of actionable insights to optimize the operations. The derived insights are then rendered in a real-time consolidated view, to enable a user to take immediate actions and decisions in relation to the plurality of critical assets (102a-102n).

A data collection device includes: a setting information storage unit storing setting information respectively associated with a plurality of cooperation levels set in accordance with a degree of cooperation with a higher system; a life-and-death monitoring unit monitoring a state of the cooperation with the higher system; a cooperation level determination unit determining the level of the cooperation with the higher system; a setting switching unit switching an operation setting of each function in accordance with the setting information corresponding to the cooperation level; a data collection unit collecting data in accordance with the operation setting switched by the setting switching unit; a data processing unit executing predetermined processing with respect to the data; and a data output unit outputting the data to a designated output destination.

A data collection and analysis system includes a communication unit and a data acquisition unit. The communication unit collects data indicating an internal state or operation state of an equipment item. The data acquisition unit acquires, from the communication unit, the data synchronized for each of groups according to setting information, the setting information being information in which the groups, a data acquisition timing, and a storage location of the data are set for a channel allocated to the data to be acquired from the equipment item, each of the groups bringing together a plurality of the channels, the data acquisition timing being a timing at which the data are acquired from the communication unit.

A method includes initiating a connection with a semiconductor manufacturing system. The method further includes generating a set of tool data items associated with the semiconductor manufacturing system. The method further includes providing a graphical user interface (GUI) presenting the set of tool data items associated with the semiconductor manufacturing system and receiving and via the GUI, user input selecting one or more of the tool data items. The method further includes adding configuration data associated with one or more of the tool data items to a data collection plan. The method further includes validating the configuration data by locating, in the manufacturing system, a configuration data file associated with the configuration data. The method further includes executing one or more data collection operations based on the data collection plan.

Example implementation described herein are directed to systems and methods for management of a factory, which can include intaking and storing streaming sensor data from a plurality of edge nodes of the factory in a database server, the database server managing historical data of the plurality of edge nodes of the factory; executing, at an edge server, a first machine learning process on the streaming sensor data from the plurality of edge nodes to determine short term analytics; controlling, at the edge server, the plurality of edge nodes according to the determined short term analytics; executing, at a cloud server, a second machine learning process on the streaming sensor data stored in the database server and the short term analytics to determine long term analytics; and instructing the edge server to control the plurality of edge nodes according to the determined long term analytics.

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.

An example monitoring system for data collection includes a data collector including a plurality of sensor. The system includes a data storage to store a collector route template for the plurality of sensors with a sensor collection routine defining how the plurality of sensors. The system includes a data acquisition and analysis circuit to receive detection signals and evaluate the detection values with respect to a rule, and further, based on the evaluation of the detection values with respect to the rule, to modify the sensor collection routine.

A method for tracking a component in a production line having a plurality of processing systems includes processing and/or testing, by each of the processing systems, the component, providing a processing signal characterizing the processing and/or testing for a higher-level electronic computing unit, and tracking, by the computing unit based on the received processing signals, the component through the production line. A query signal characterizing a component property of one of the processing systems of the production line is received by the computing unit. The component is ascertained by the computing unit and at least one component information signal characterizing the component property of the ascertained component is provided.

The system generally includes a crosspoint switch in the local data collection system having multiple inputs and multiple outputs including a first input connected to the first sensor and a second input connected to the second sensor. The multiple outputs include a first output and a second output configured to be switchable between a condition in which the first output is configured to switch between delivery of the first sensor signal and the second sensor signal and a condition in which there is simultaneous delivery of the first sensor signal from the first output and the second sensor signal from the second output. Each of multiple inputs is configured to be individually assigned to any of the multiple outputs. Unassigned outputs are configured to be switched off producing a high-impedance state. The local data collection system includes multiple data acquisition units each having an onboard card set configured to store calibration information and maintenance history of a data acquisition unit in which the onboard card set is located. The local data collection system is configured to manage data collection bands.

A system and method for collecting real time manufacturing data from a factory having multiple machines therein using internet-of-things (IoT) connectivity, comprising: at least one gateway comprising at least one server, the at least one gateway receiving data from the multiple machines; at least one machine communications module (MCM) that applies to the received data at least factory, enterprise, and analytics applications, and which outputs command and control information from the applications to the at least one gateway to directly control operations of the multiple machines; wherein the gateway provides security isolation on the machine side of the gateway, and encryption, authentication, and authorization security on the MCM side of the gateway; and wherein the applications process and normalize data from at least a plurality of types and generations of the multiple machines.