The invention provides methods, systems and computer programs for optimizing standard operating procedure for a control system. The invention comprises (i) recording a sequence of control system operator actions, (ii) identifying a control system process corresponding to the recorded sequence of control system operator actions, (iii) retrieving a standard operating procedure associated with the identified control system process, (iv) determining a first set of deviations between (a) the recorded sequence of control system operator actions and (b) the standard operating procedure, (v) determining a second set of deviations between (c) a set of KPI values associated with the recorded sequence of control system operator actions and (d) a set of KPI values associated with the standard operating procedure, and (vi) modifying the standard operating procedure to reduce deviation between (e) the recorded sequence of control system operator actions and (f) said standard operating procedure.

An information collection system for industrial machines includes processing circuitry that communicates with one or more industrial machines that execute one or more predetermined processes with respect to an object, identify, based on predetermined information received from the one or more industrial machines, the one or more predetermined processes executed with respect to the object, and assigns process identification information related to the one or more predetermined processes to collected information related to the object collected from the one or more industrial machines.

According to an aspect, there is provided method for commissioning a drive. First, a local network is established between a wireless computing device, one or more wireless sensor devices and a drive. Each wireless sensor device is configured to measure one or more physical quantities associated with an industrial system controlled by the drive. The wireless computing device configures wirelessly the drive and the one or more wireless sensor devices for performing measurements. In response to receiving one or more measured values from the one or more wireless sensor devices, the wireless computing device displays the information on the one or more measured values on a display for providing guidance for a user of the wireless computing device for adjusting drive parameters of the drive.

The present invention ascertains the correspondence between the actual operation of an apparatus used to execute a work process and work performed by a worker while suppressing costs. This information processing device associates basic imaging data obtained by capturing the entire work site WS by one ceiling camera with process information acquired from a PLC.

A production system, including an engineering device configured to set a higher-level control device capable of controlling a control device configured to control one or more industrial machines, wherein the engineering device is configured to: display a name of each of a plurality of variables stored in the higher-level control device; receive specification of a variable to be subjected to at least one of collection or rewriting from among the plurality of variables; and perform setting of the at least one of the collection or rewriting of the specified variable.

Provided are embodiments of monitoring an industrial process that include determining a process structural model that defines operational characteristics of equipment used to perform the industrial process, determining an interface application to display a process flow diagram (PFD) for the process, obtaining an interface model for the interface application, determining (based on the process structural model) a grouped process structural model for the process, determining (based on the grouped process structural model) a routed process model for the process, and generating (based on the routed process model) the PFD for the process. The determining of the grouped process structural model including grouping sensors with associated process equipment, grouping process equipment, and grouping connections between pieces of equipment to determine an edge-grouped process structural model for the industrial process, and incorporating the interface model with the edge-grouped process structural model to determine the grouped process structural model.

A method for automatic monitoring of industrial control systems, comprising: monitoring an environment by an electromagnetic sensor to measure a plurality of electromagnetic pulses emitted by at least one industrial control device during operation of the at least one industrial control device; calculating automatically at least one normal data pattern based on an analysis of the plurality of electromagnetic pulses; matching between at least one new electromagnetic pulse measured by the electromagnetic sensor and the at least one normal data pattern to automatically detect at least one abnormal data pattern; and sending automatically a security alert in response to the abnormal data pattern.

In a Boundaryless Control High Availability (“BCHA”) system (e.g., industrial control system) comprising multiple computing resources (or computational engines) running on multiple machines, technology for computing in real time the overall system availability based upon the capabilities/characteristics of the available computing resources, applications to execute and the distribution of the applications across those resources is disclosed. In some embodiments, the disclosed technology can dynamically manage, coordinate recommend certain actions to system operators to maintain availability of the overall system at a desired level. High Availability features may be implemented across a variety of different computing resources distributed across various aspects of a BCHA system and/or computing resources. Two example implementations of BCHA systems described involve an M:N working configuration and M:N+R working configuration.

Systems and methods for benchmarking operator performance for an industrial operation are disclosed herein. In one aspect of this disclosure, a method for benchmarking operator performance for an industrial operation includes receiving input data relating to the industrial operation from one or more data sources, and processing the input data to measure operator effectiveness and build a data repository for benchmarking/analytics. The data repository may include information relating to the measured operator effectiveness, for example. Biggest contributors of operator variability may be identified based on an analysis of the data repository, and one or more actions may be taken to reduce or eliminate the biggest contributors of operator variability.

A system and associated method configured for monitoring an industrial setting is disclosed. The sensor kit can include an edge device and a plurality of sensors that capture sensor data and transmit the sensor data via a self-configuring sensor kit network. At least one sensor can capture sensor measurements and output instances of sensor data, generate and output reporting packets, and transmit the reporting packets to the edge device via the self-configuring sensor kit network in accordance with a first communication protocol. The edge device receives reporting packets from the plurality of sensors via the self-configuring sensor kit network, generates a data block based on the sensor data, and transmits the data block to one or more node computing devices that collectively store a distributed ledger that is comprised of a plurality of data blocks.