Abstract: An industrial automation system comprises multiple process components, each categorizable into a cohort corresponding to a cohorting criterion. Some process components are configured to perform a machine learning (ML) process. A process component hosts at least a part of an ML model per cohort and communicates the ML model parameters among the multiple process components. The system assigns one or more of the process components to one of the cohorts according to the cohorting criterion; attributes the ML model parameters of a process component in a selected one of the cohorts to the ML model belonging to the selected cohort; determines a proximity value of each pair of cohorts; assigns a pair of cohorts to a respective neighboring cohort group when the proximity value meets a predetermined proximity criterion; and shares the ML model related data between process components belonging to the same neighboring cohort group.

Abstract: A method and a sensor device for evaluating residual Sulphur in a cement preheater of a cement kiln, wherein the residual Sulphur is based on the values of the fuel Sulphur content, the fuel rate of consumption, the hotmeal quality and the clinker Sulphur content. A method for evaluating blockage in a cement preheater includes evaluating the residual Sulphur in the cement preheater, determining an agglomeration rate of Sulphur compounds agglomerating on an inner surface of the cement preheater based on the residual Sulphur, and evaluating a level of blockage in at least one predetermined pathway of the cement preheater using a blockage evaluation unit, wherein the level of blockage is based on the agglomeration rate.

Abstract: Disclosed is a method for remote diagnosis and monitoring of field equipment over an industrial wireless network. A diagnostic unit associated with the field equipment optimizes communication of measured data by a field radio device to a base station. The diagnostic unit is communicatively linked to the field radio device. The measured data is obtained from the field equipment, and a plurality of communication parameters of a communication channel are obtained based on communication from the field radio device. Based on a packet size, a data rate and required application responsiveness, one or more packets comprising the measured data are generated. The generated packets are communicated to the field radio device at selected time intervals based on the packet size, and the application responsiveness, for communication to the base station.

Abstract: Example approaches for power quality monitoring in a power distribution grid are described. In an example, monitoring data is received by a communication gateway from a node coupled to it. In an example, there may be multiple nodes in the power distribution grid. Local insights for power quality monitoring may be estimated, based on the monitoring data, using predictive analytics at the communication gateway. The monitoring data and the local insights associated with each of the plurality of nodes is transmitted to the server. Global insights for power quality monitoring may be estimating, using predictive analytics performed at the server, based on the monitoring data and the local insights. An indication to an operator is generated, based on the estimated local insights, global insights and the monitored data, to carry out preventive or corrective action for maintaining the power quality in the power distribution grid.

Abstract: Example approaches for power quality monitoring in a power distribution grid are described. In an example, monitoring data is received by a communication gateway from a node coupled to it. In an example, there may be multiple nodes in the power distribution grid. Local insights for power quality monitoring may be estimated, based on the monitoring data, using predictive analytics at the communication gateway. The monitoring data and the local insights associated with each of the plurality of nodes is transmitted to the server. Global insights for power quality monitoring may be estimating, using predictive analytics performed at the server, based on the monitoring data and the local insights. An indication to an operator is generated, based on the estimated local insights, global insights and the monitored data, to carry out preventive or corrective action for maintaining the power quality in the power distribution grid.

Abstract: Disclosed is a method for remote diagnosis and monitoring of field equipment over an industrial wireless network. A diagnostic unit associated with the field equipment optimizes communication of measured data by a field radio device to a base station. The diagnostic unit is communicatively linked to the field radio device. The measured data is obtained from the field equipment, and a plurality of communication parameters of a communication channel are obtained based on communication from the field radio device. Based on a packet size, a data rate and required application responsiveness, one or more packets comprising the measured data are generated. The generated packets are communicated to the field radio device at selected time intervals based on the packet size, and the application responsiveness, for communication to the base station.