An information processing device includes: an acquisition unit that acquires a communication packet used for monitoring and controlling a system and process data collected from an apparatus installed in the system via a network; and a detection unit that detects an abnormal communication pattern on the network based on a correspondence between a communication pattern related to the communication packet and the process data.

A state management system includes: an acquisition unit that acquires data accumulated in an apparatus; an execution unit that executes a process of combining a plurality of types of data selected in advance among the acquired data and calculating one index indicating a normality of the apparatus at predetermined intervals; and a display controller that displays the calculated one index in a display.

Where an abnormal state is detected, an abnormality notification screen to that effect is displayed on a display unit. The abnormality notification screen is non-displayed in a case where hold of the abnormal state is selected in a state where the abnormality notification screen is displayed on the display unit. Where a warning icon is displayed on the display unit to indicate the detection of the abnormal state and the warning icon is selected, the abnormality notification screen is redisplayed on the display unit. The abnormality notification screen is not redisplayed on the display unit until the warning icon is selected after the abnormal state is held and the abnormality notification screen becomes non-displayed. Accordingly, the abnormal state can be confirmed by the warning icon being selected when necessary without the work that is performed by a worker being interrupted by redisplay of the abnormality notification screen.

Systems and methods are provided for determining appliance service requirements including: receiving an electrical signal indicative of an electrical load of an appliance over a period of time; determining an activity performed by the appliance by comparing the received electrical signal to an electrical signature of the appliance performing the activity; and responsively to determining the activity, determining a required service for the appliance.

The present invention relates to a precise predictive maintenance method for a driving unit and the configuration thereof includes a first base information collecting step S10 of collecting change information of an energy size in accordance with a time measured in a normal driving state of the driving unit; a second base information collecting step S20 of collecting a peak interval; a setting step S30 of setting an alarm upper limit and an alarm lower limit for the peak interval; and a detecting step S40 of measuring a peak interval.

A management device for managing a component mounter that mounts components onto a substrate using some of constituent elements each selected from one of constituent element groups each including the constituent elements. One group is a nozzle group including nozzles. The device includes: a true displacement amount calculator that calculates, for each target component which is the component, a true amount of displacement which is a sum of (i) an amount of pickup displacement being an amount of displacement between the target component and a target nozzle being one of the nozzles and picks up the target component and (ii) an amount of correction being an amount of offset of a position of the target nozzle when picking up the target component; and a statistical processor that performs parameter estimation for a predetermined statistical model using the true amount to calculate a degree of malfunction of each constituent element.

A system and a method related to a key performance indicator (KPI) analysis system with a KPI rules builder and a method to generate configurable diagnostic KPI rules. The diagnostic engine for the KPI analysis system can be set up for easy usage by a user without detailed knowledge of specific sensor parameters in relation to the KPI rules. Instead, the KPI rules builder may provide a high level, abstract, organizational interface for generating KPI rules without specific preset correspondence of sensors to KPI rules.

Embodiments herein describe a fault tolerant network connected orchestrator which can handle network outages or hardware resets in a work cell. In one embodiment, the orchestrator determines the next task to assign to the work cell depending on whether the previous task was successfully completed. However, a network outage or a hardware failure may prevent the orchestrator from receiving the results of the previous action from the work cell. In one embodiment, the orchestrator recovers from a communication error by requesting the current state of sensors. Using this information, the orchestrator can deduce or determine the current state of the work cell and determine the next task for the work cell. In this manner, the orchestrator is fault tolerant such that it can recover from communication errors.

A field device includes a controller and a process communication module. The controller is configured to perform at least one operation related to process control and is also configured to perform at least one self-recovery operation relative to the field device. The process communication module is coupled to the controller and is configured to couple to a process communication segment and communicate in accordance with a process communication protocol. The controller is configured to detect an erroneous condition and selectively apply the at least one self-recovery operation in response to the detected erroneous condition.

Methods and apparatus are described herein related to an environmental monitoring system configured to avoid spoilage of goods by alerting a supervisor to hazardous conditions. A cigar humidor may be monitored by placing a cigar-shaped and cigar-sized sensor-equipped component made from metal or cedar wood inside the humidor amongst the cigars. The sensors monitor a plurality of parameters, of which relative humidity is of particular importance for cigar humidors. One hazardous condition, which is tracked by the system is the absence of an airing event for a period greater than a pre-configured interval. Once an airing event has been absent for a long enough time period, either a pre-alert or a full alert is being issued. The system offers multiple alternative ways of detecting airing events including time series anomaly discovery algorithms with grammar-based compression.