A system for supervising operation of at least one machine of an industrial installation or for supervising such operation and actuating the at least one machine based on such supervision, is disclosed. The system comprises a network comprising a server and a plurality of devices forming a computing cluster. At least some devices of the plurality of devices are connectable to a machine of the industrial installation. Each device of the at least some devices comprises: a first processor configured to compute in real-time, with data acquirable from the machine to which the device is connectable, a first processing task for solving a first query; and a second processor configured to share its processing power with the network, and to compute, when assigned by the server, at least one thread of a second processing task for solving a second query. The server is configured to: control the computing cluster; partition the second processing task into a plurality of threads; and assign one or more threads of the plurality of threads to the second processor of at least some devices of the plurality of devices. A device for supervising operation of at least one machine of an industrial installation is also disclosed. An industrial installation is also disclosed, comprising: a plurality of machines; and a network for supervising operation of at least one machine of the plurality of machines or for supervising and actuating the at least one machine, the network comprising a server and a plurality of devices forming a computing cluster.

A method for visualizing and validating process events in process monitoring systems, wherein a permanently installed sensor system reports states to a process monitoring system, if predefined limit values are exceeded, then the process monitoring system initiates, plans and performs local data acquisition using a mobile sensor, where the result of this data acquisition is analyzed and visualized in the process monitoring system and is integrated in the state information relating to the process or the installation.

There is provided a packet monitoring apparatus for monitoring packets copied from an industrial control system (ICS) network, the apparatus being configured to perform an analysis of a plurality of packets copied from the ICS network and generate a digital command signal responsive to the analysis for transmission via a digital input/output channel. There is also provided an active prove that is configured to generate and transmit at least one query packet into the ICS network responsive to a digital command signal, optionally received from the packet monitoring apparatus.

A method for configuring a data analyzer is provided. The method comprises displaying to a user, on a presentation interface coupled to a processor, a graphical representation of at least a portion of the data analyzer. A data analyzer configuration for the data analyzer is then generated using a user input interface, which is coupled to the presentation interface and the processor. The presentation interface then displays to the user a plurality of selectable machine train components. The method also comprises generating, using the user input interface, an interactive graphical representation of a machine train including at least one of the selectable machine train components. Using the processor, a configuration file is generated based on the data analyzer configuration and the graphical representation of the machine train. The configuration file facilitates diagnosing operation of the machine train using the data analyzer.

A method of controlling a real production process, wherein the method includes: a) receiving initial condition data from an on-line simulator system simulating the real production process, and b) performing an optimization based on the initial condition data and on an objective function to obtain set points for controlling the real production process.

Method and system for automatically generating data points in a data management system. A control strategy and variables used in the control strategy can be configured, wherein the control strategy governs a data management system associated with a controller. The control strategy and the variables can be downloaded to the controller after configuring the control strategy and variables. The control strategy is then run on the controller and published to the data management system before, during, or after downloading of the control strategy. All available variables in the controller are then automatically listed so as to generate data points that can be downloaded and updated through a communication channel between the data management system and the controller.

A manufacturing execution system (MES) that provides tools for modeling and determining information about physical production lines made up of arrangements of entities. The MES includes configuration tools for modeling the entities in a physical production line. The MES also includes configuration tools for modeling the physical production line. Entity data models and line data models conform to the data structure of respective model templates. Line data models include line definition models and line layout models. Line layout models include an entity link model for each of the entities in the physical production line. The MES includes tools for dynamically determining the bottleneck for the physical production line. Other production metrics are also calculated using the MES.

An asset monitoring and reporting system (AMRS) implements an interface to establish an asset hierarchy to be monitored and reported against. The interface employs a search query of extant asset data from which definitional aspects of the asset hierarchy can be identified, and therefrom the interface automatically determines control information reflective of the asset hierarchy to direct the ongoing operation of the AMRS. The asset or component hierarchy may further inform operations related to the generation and display of a user interface presenting widgets that graphically depict information about one or more such components during AMRS operation.

A method is provided for monitoring and logging data related to a compressed gas operation. A communication interface is coupled to a device supporting a compressed gas operation. Data related to the compressed gas operation is automatically collected via the communication interface at a first data store every first time increment of a first time period. Portions of the data from the first data store are automatically collected at a second data store every second time increment of each first time period. The second time increment is greater than the first time increment, and the portions of the data are collected for a second time period which is greater than the first time period.

A parallel control method for an intelligent workshop is provided, comprising the following steps: step A: constructing a parallel control simulation platform; step B: establishing a parallel execution mechanism; and, step C: correcting and optimizing a parallel control system. A parallel control system for an intelligent workshop is provided, comprising: an MES module configured to issue production instructions to unit management modules; the unit management modules configured to convert the received production instructions into machine instructions and synchronously issue the machine instructions to underlying PLCs by a bus control network module, and drive the parallel control simulation platform and a field device to move by a soft PLC and a hard PLC; the bus control network module configured to establish a communication network among the MES module, an SCADA module, an industrial personal computer, physical devices and a whole-line simulation model; and, the SCADA module.