A cloud-based analytics engine that analyzes data relating to an industrial automation system(s) to facilitate enhancing operation of the industrial automation system(s) is presented. The analytics engine can interface with the industrial automation system(s) via a cloud gateway(s) and can analyze industrial-related data obtained from the industrial automation system(s). The analytics engine can determine correlations between respective portions or aspects of the system(s), between a portion(s) or aspect(s) of the system(s) and extrinsic events or conditions, or between an employee(s) and the system(s). The analytics engine can determine and provide recommendations or instructions in connection with the industrial automation system(s) to enhance system performance based on the determined correlations. The analytics engine also can determine when there is a deviation or potential of deviation from desired system performance by an industrial asset or employee, and provide a notification, a recommendation, or an instruction to rectify or avoid the deviation.

A method for monitoring an industrial robot. The method includes configuring the robot to perform a certain task during an integration process and storing integration data in the robot identifying the configuration of the robot for performing the task. The method also includes installing the robot in a manufacturing facility, and uploading the stored integration data to the Cloud when the robot is installed in the manufacturing facility. The method further includes capturing production data generated by the robot during operation of the robot in the manufacturing facility, uploading the production data to the Cloud, and comparing the production data to the integration data.

An event analysis device includes an event collector configured to collect event log data which represents operation history of a DCS operator; an event analyzer configured to analyze event log data collected by the event collector to extract analysis result data representing operation method based on the operation of the DCS operator or analysis result data representing operation intention based on the operation of the DCS operator; an operation sequence extractor configured to extract analysis result data respectively in every period in specified multiple periods and extract operation sequence sorting analysis result data based on operation time; and an operation sequence clusterer configured to cluster the operation sequence based on the degree of the similarity between the operation sequences which are different from each other.

Techniques for adjusting process variables in a process plant using gesture-based input on a user interface device include presenting a graphic representation associated with a process plant entity in the process plant and an indication of a process variable value corresponding to the process plant entity as measured with the actual process plant and providing a user control for receiving gesture-based input at a location on the user interface device corresponding to the graphic representation associated with the process plant entity to adjust the process variable value. In response to receiving gesture-based input from an operator to adjust the process variable value for the corresponding process plant entity, the user interface device presents an adjusted process variable value and sets the process variable in the actual process plant to the adjusted process variable value.

An event analyzer includes: an event collector configured to collect event log data representing operation history which an DCS operator performed; a basic unit operation analyzer configured to analyze event log data, and extract basic unit operation data representing operation method based on the operation by the DCS operator; and an unit operation analyzer configured to analyze basic unit operation data, and extract unit operation data representing intention of the operation by the DCS operator.

A secure lockable enclosure having a compartment therein, includes an electronically-actuated latching mechanism coupled to a door; a network interface; a sensor for sensing a characteristic related to a user attempting to gain access to the compartment; an environmental controller for heating and/or cooling the compartment; and a processor. The processor being adapted to (i) cause the network interface to transmit information indicative of a sensed characteristic of a user attempting to gain access to the compartment and capable of processing an unlock signal, and (ii) control the environmental controller based on a characteristic of an item placed in the compartment. An exemplary method controlling access by a user to the enclosure includes the steps of receiving identification information of the user from sensors associated with the enclosure; receiving identification information of an account holder; verifying the received identification information of the user against the account holder information and providing an unlock code to the lock device if the identification information of the user and account holder matches.

A method for monitoring an industrial robot. The method includes configuring the robot to perform a certain task during an integration process and storing integration data in the robot identifying the configuration of the robot for performing the task. The method also includes installing the robot in a manufacturing facility, and uploading the stored integration data to the Cloud when the robot is installed in the manufacturing facility. The method further includes capturing production data generated by the robot during operation of the robot in the manufacturing facility, uploading the production data to the Cloud, and comparing the production data to the integration data.

Intelligent dispenser of disinfectant gel for connection to disinfection habits monitoring system that includes a disinfectant gel dispenser, a user recognition device and an electronic device. The dispenser also includes a communicator device to transmit at least the user identification data and dispenser identification data to a computing device member of a disinfection habits monitoring system. The computing device can process the transmitted user identification data linking them to the individual dispenser transmitter of the identification data, permitting to determine the disinfection habits of each user individually, and the computing device can transmit to an information emitter information related with the users identified by the recognition device and information relevant to tasks performed or omitted by the users and/or in accordance with the sanitation protocols, or area information corresponding to the physical position of the individual dispenser.

Described is a closed-loop intervention control system for memory consolidation in a subject. During operation, the system simulates memory changes of a first memory in a subject during waking encoding of the memory, and then while the subject is sleeping and coupled to an intervention system. Based on the simulated memory changes, the system predicts behavioral performance for the first memory, the behavioral performance being a probability that the first memory can be recalled on cue. The system can be used to control operation (e.g., turn on or off) of the intervention system with respect to the first memory based on the behavioral performance of the first memory determined by the simulation.

An event analyzer includes: an event collector configured to collect event log data representing operation history which an DCS operator performed; a basic unit operation analyzer configured to analyze event log data, and extract basic unit operation data representing operation method based on the operation by the DCS operator; and an unit operation analyzer configured to analyze basic unit operation data, and extract unit operation data representing intention of the operation by the DCS operator.