Embodiments include a server system including logic of an edge computing device. A network includes a cloud platform able to receive state change events from a state module, and execution of the program logic results in process steps of a method that include transmitting a plurality of attributes from the cloud platform to the at least one edge computing device, where the plurality of attributes can be associated with a device of a distributed environment coupled to the network. A further step includes receiving from the state module, by the edge computing device, current state data of the device, and a subsequent step includes performing a comparison based on a set of rules of the attributes, by the edge computing device, of the current state data. Further, based on the comparison, the method includes sending, by the edge computing device, an update to a human-machine-interface module.

The present disclosure discloses a monitoring management and control system based on panoramic big data comprising an imaging device, a credential of the imaging device, a memory, a networking device, and a processing unit. The imaging device is configured to detect a first object and determine an approximate location of the first object and a reliability value of the approximate location of the first object based on the credential of the imaging device, the memory, the networking device, and the processing unit.

Various embodiments of the teachings herein include an integrity monitoring system for runtime integrity monitoring of a control device connected to sensors and/or actuators and comprising an automation device for collecting operating state data of the control device. The system may include an integrity monitoring unit detachably connectable directly to the control device to monitor the integrity status of the control device on the basis of operating state data transferred from the automation device to the integrity monitoring unit.

A robot controller is configured to control operation of at least one industrial robot. The robot controller includes: a processor; a memory configured to store a current system configuration of the robot controller, and an editing interface configured to enable modification of the current system configuration. It further includes a stored fingerprint corresponding to the system configuration according to original manufacturer settings; and a fingerprinting interface configured to facilitate computation of a fingerprint based on the current system configuration. The stored and computed fingerprints may be compared to determine whether any modification has occurred.

To perform a prognostic health analysis for an asset (11-13), a stochastic simulation is performed. Transition probabilities for transitions between states of a discrete state model (41-44) used in the stochastic simulation are updated as information on asset degradation becomes available.

A diagnostic system diagnoses an abnormality of a diagnostic object by using a plurality of diagnostic logics. The diagnostic system includes an acquisition unit, a determination unit, a generation unit, and an output unit. The acquisition unit acquires diagnostic object information relating to the diagnostic object. The determination unit determines whether each of the diagnostic logics is executable or not based on the diagnostic object information. The generation unit generates a diagnostic result including information relating to whether the diagnostic logics determined by the determination unit are executable or not. The output unit outputs the diagnostic result.

Disclosed is a method for controlling a focused ultrasound therapy device based on an Acorn RISC Machine, the focused ultrasound therapy device being connected to a workstation and an ARM embedded processor running a linux operating system, the ARM embedded processor storing a first control program, the workstation storing a second control program, the method including: the first control program controlling the focused ultrasound therapy device by executing a task and sending a task execution result to the second control program; the task includes an internal event and an operation instruction, the internal event includes a timer event of the first control program and an interrupt message of a linux kernel, the second control program receives the operation instruction through the workstation and sends the operation instruction to the first control program.

According to an embodiment, an error log list and alarm service system comprises an execution terminal receiving an alarm including error information according to an operation error in a machine facility designated through an error log list and alarm service platform and a monitoring server collecting a result of monitoring an operation state and operation error in the machine facility, extracting the error information according to an information setting value set by the execution terminal, and providing the extracted error information through a web or app platform.

Apparatus and associated methods relate to generating a wiring schema with more than one safety device sharing at least one test signal through one or more external terminal blocks when the number of terminals required by safety devices exceeds the number of available terminals of a safety controller. In an illustrative example, the method may include determining a total number of terminals A of safety devices to be connected to a safety evaluation device having a number of terminals B. If A is greater than B, the method may then include generating a wiring schema that one or more external terminal blocks may show indicia of electrical connections between an identified set of safety devices and a shared terminal of the safety evaluation device associated with that set. Various embodiments may advantageously expand a number of devices to be connected to the safety evaluation device.

The embodiment of the present disclosure provides an Industrial Internet of Things system for inspection operation management of an inspection robot and a method thereof. The system includes a user platform, a service platform, a management platform, a sensor network platform, and an object platform that are interacted sequentially from top to bottom. The management platform is configured to perform operations including: determining an inspection task, the inspection task including detecting at least one detection site; sending instructions to an inspection robot based on the inspection task to move the inspection robot to a target position to be inspected; obtaining detection data based on the inspection robot, and determining subsequent detection or processing operations based on the detection data.