A method of monitoring and assessing program variables of an industrial installation driven by a controller (C) by instructions programmed in a user program. Specific monitoring modules (MS1 to MSt) are implanted, as close as possible in time to the variable(s) (V1 to Vt) to be monitored to monitor evolution in real-time. During execution, each specific monitoring module (MSy) reads, in real-time, the logic state of each of variables which it monitors in an instantaneous cycle turn (TCi) of the controller (C), compares this logic state with the previously recorded logic state, and, only in the case of a state change, records the new logic state read as well as the real-time time-stamp of this event in a global memory unit (UM_G). The recorded metadata is analyzed in order to check behavior of the installation, use this production data and identify a possible malfunction of program and/or the installation.

A method includes the step of receiving a first weight value from a sensor associated with a feed mixer. A first rotation speed associated with the first weight value is monitored. A second weight value is received from the sensor associated with the feed mixer and a second rotation speed associated with the second weight value is monitored. A mixing profile is generated based on the first weight value, the second weight value, the first rotation speed, and the second rotation speed. In one embodiment, a first feed ingredient is associated with the first weight value and a second feed ingredient is associated with the second weight value.

Computing device providing fail-safe execution of a service. The service is stored in a non-volatile memory of the computing device and comprises instructions executable by a processor of the computing device. The processor generates an operational instance of the service, which comprises a reference to the service. The processor stores the operational instance of the service in the non-volatile memory with a read-write access right. The processor launches an executable instance of the service associated to the operational instance of the service. The launching comprises copying the instructions of the service from the non-volatile memory to a volatile memory of the computing device. The launching further comprises executing the instructions of the service copied into the volatile memory. The processor adds data generated by the execution of the instructions of the service to the operational instance of the service for permanent storage in the non-volatile memory.

The present invention relates to the field of intelligent machining, in particular to a parallel control method based on multi-period differential sampling and digital twinning technologies, the method comprising the following steps of: a. detecting machining conditions of dotting machine equipment by using a multi-period differential sampling technology; b. establishing a digital twinning control model; and c. controlling a simulation model of the dotting machine equipment according to a detection judgment result so as to perform parallel control on the dotting machine equipment. According to the parallel control method based on multi-period differential sampling and digital twinning modelling provided by the present invention, for the digital twinning model of the dotting machine equipment, the parallel control method establishes a simulation model and a detection model of the dotting machine equipment by using a virtual-real synchronization technology; simulation dotting machine equipment operates in synchronization with the physical dotting machine equipment.

A method includes the step of receiving a first weight value from a sensor associated with a feed mixer. A first rotation speed associated with the first weight value is monitored. A second weight value is received from the sensor associated with the feed mixer and a second rotation speed associated with the second weight value is monitored. A mixing profile is generated based on the first weight value, the second weight value, the first rotation speed, and the second rotation speed. In one embodiment, a first feed ingredient is associated with the first weight value and a second feed ingredient is associated with the second weight value.

Methods, mediums, and systems include use of a system manger application in a data processing system to create a replay in a graphical user interface, to receive replay criteria, identify any replay devices, replay sensors, replay actuators, and replay functions corresponding to the replay criteria from among the plurality of devices, sensors, and actuators, identify a replay time period corresponding to the replay criteria, gather replay data for the identified replay devices, replay sensors, replay actuators, or replay functions corresponding to the replay criteria that was generated during the replay time period, and display the replay in the graphical user interface according to the replay data.

Methods and systems for infrastructure-monitoring control are provided. An example method for providing a visual representation of system events occurring in a system monitored by an infrastructure-monitoring control system includes the infrastructure-monitoring control system providing, in substantially real-time, a visual representation of at least one system event occurring in the system, wherein the visual representation comprises a color-coded visual representation depicting the at least one system event throughout the system. The method further includes the infrastructure-monitoring control system storing the visual representation. Still further, the method includes the infrastructure-monitoring control system then providing the visual representation after a given amount of time since the at least one system event.

The invention relates to a method for monitoring a process automation system, a plurality of measuring points being provided in the system, said method comprising: detecting movements, of people located within the system and/or objects, especially robots, vehicles and/or machines, which are not located at the measuring points; calculating stay data containing moments of the stay and/or the respective duration of the stay, the respective people and/or objects at the individual measuring points on the basis of the detected movements; and evaluating the stay data in terms of defined noticeable problems.

Methods and systems for infrastructure-monitoring control are provided. An example method for providing a visual representation of system events occurring in a system monitored by an infrastructure-monitoring control system includes the infrastructure-monitoring control system providing, in substantially real-time, a visual representation of at least one system event occurring in the system, wherein the visual representation comprises a color-coded visual representation depicting the at least one system event throughout the system. The method further includes the infrastructure-monitoring control system storing the visual representation. Still further, the method includes the infrastructure-monitoring control system then providing the visual representation after a given amount of time since the at least one system event.

A system for analyzing operational data associated with a plant that has processing equipment configured and controlled to run a process involving at least one tangible material. Actual operational data corresponding to plant operations is received by a computing device that may relate to production, equipment, workforce, automation systems, safety, and/or cybersecurity of the plant. A model of the plant is generated based on the actual operational data, where the model indicates ideal plant operations including model operational data. The actual plant operational data and the model operational data are compared. Based on the operational data and the comparison of the operational data to model operational data, at least one recommendation for an action associated with the plant is determined.