Method and apparatus for monitoring and reconstructing a software-defined PLC are provided. The method includes: upon monitoring a PLC fails, obtaining, by a soft guardian, an operating state of each physical core on each server in a server cluster, and an operating state of each micro kernel on the each physical core; determining a target micro kernel according to the operating state of each physical core on each server, and the operating state of each micro kernel on each physical core; and transmitting a reconstruction instruction to the target micro kernel to instruct the virtual PLC to be reconstructed on the target micro kernel.

The disclosure relates to a safety module for an automation system assembly, having a safety component which is configured to implement a safe operation of the automation system assembly, and an adaptation component which is configured to mediate between the safety component and a communication system of the automation system assembly in order to incorporate the safety module into the automation system assembly, wherein the safety component and the adaptation component are constructed on separate circuit carriers and are connected in such a way that they are mechanically detachable and reconnectable.

The invention relates to marine vessel safety system which ensures that a marine vessel enters a safe state in the event of at least one malfunction in any vessel operation systems and components of the marine vessel. The marine vessel safety system comprises at least one vessel monitoring system, at least one malfunction evaluation system and a safe-state control system.

A method for identifying, classifying, and sending notification of an electric arc furnace's (EAF) anomalies to improve the EAF efficiency. The method includes the steps of establishing baseline state measurements of the EAF, receiving new state measurements of the EAF and statistically testing the new state measurements against the baseline state measurements. The method further includes the steps of identifying as an anomaly a failed statistical test, classifying the identified anomaly and sending notification of the classified anomaly to a configurable list of recipients.

A method is provided that provides data analysis for sequence of events reporting in the operation of an industrial process. A digital filter and edge detector are provided that combines a method for excluding known invalid samples and a method for excluding samples taken while the input in the traveling range. The filtering method reduces the overhead on the CPU from managing the sequence of events machine and allows it to focus on performing safety functions.

Novel tools and techniques are provided for implementing Internet of Things (IoT) functionality. In some embodiments, a computing system or IoT management node might receive sensor data from one or more IoT-capable sensors, analyze the sensor data to determine one or more actions to be taken, and identify one or more devices (e.g., household devices associated with a customer premises; vehicular components associated with a vehicle; devices disposed in, on, or along a roadway; devices disposed throughout a population area; etc.) for performing the determined one or more first actions. The computing system or IoT management node then autonomously controls each of the identified one or more devices to perform tasks based on the determined one or more first actions to be taken, thereby implementing smart environment functionality (e.g., smart home, building, or customer premises functionality, smart vehicle functionality, smart roadway functionality, smart city functionality, and so on).

Disclosed is a system for swapping springs present in a product. A data receiving module receives metadata associated to a spring. The metadata comprises a pitch, vector coordinates and alike. A comparison module compares the pitch associated to the spring with a predefined threshold value thereby categorizing each spring into one of a category including a utilized spring category and an underutilized spring category. A determination module determines an underutilized spring, amongst the underutilized spring category, based on at least one of the vector coordinates and the pitch, when the spring is categorized in the utilized spring category. Subsequent to determining the underutilized spring, the swapping module swaps the spring with the underutilized spring by using a control mechanism.

A control system and a control method are provided. A control device in the control system includes a computation processing unit related to control of a control target, a collection unit that executes a process of collecting data associated with the control target, and a monitoring processing unit that executes a process of monitoring a state of the control target and includes a feature quantity generation unit that executes a process for generating a feature quantity from the collected data, and a detection unit that executes a for detecting an abnormality occurring in the control target using the generated feature quantity and an abnormality detection parameter suitable for detection of an abnormality occurring in the control target that is set based on a result of machine learning. An information processing device executes emulation of the monitoring process using the data associated with the control target from the control device.

A method of operating an intelligent programmable logic controller includes executing, by a processor included in the intelligent programmable logic controller, a control program. A non-volatile storage medium included in the intelligent programmable logic controller stores a control model comprising control knowledge related to the control program. The control model is used to perform a monitoring operation related to execution of the control program on the intelligent programmable logic controller.

A system and method for managing function blocks within a process control system for a process plant includes accessing an initial cause and effect matrix (CEM) having a set of causes and a set of effects. The system and method may then define a set of related groups within the initial CEM including: (i) accessing a set of rules associated with the set of related groups, (ii) identifying a portion of the set of causes that are related to a portion of the set of effects according to the set of rules and based on at least a portion of the corresponding cause-effect pairs, and (iii) rearranging the portion of the set of causes and the portion of the set of effects such that the portion of the corresponding cause-effect pairs are rearranged.