Provided in an embodiment of the present disclosure is a method for acquiring data of a data source associated with a production line, including: acquiring a semantic model, the semantic model including semantic relationships between respective semantic units and data source identifiers corresponding to one or more production lines; receiving production line identifiers and acquiring one or more semantic units; converting, based upon the semantic model, the one or more semantic units to data source identifiers corresponding to production lines indicated by the production line identifiers; and acquiring data of data sources indicated by the data source identifiers. Implementing the embodiments disclosed in the present disclosure simplifies a configuration file required for a virtual model of a production line, thereby greatly reducing configuration workload, and enhancing convenience of acquiring data of a data source.

Provided in an embodiment of the present disclosure is a method for acquiring data of a data source associated with a production line, including: acquiring a semantic model, the semantic model including semantic relationships between respective semantic units and data source identifiers corresponding to one or more production lines; receiving production line identifiers and acquiring one or more semantic units; converting, based upon the semantic model, the one or more semantic units to data source identifiers corresponding to production lines indicated by the production line identifiers; and acquiring data of data sources indicated by the data source identifiers. Implementing the embodiments disclosed in the present disclosure simplifies a configuration file required for a virtual model of a production line, thereby greatly reducing configuration workload, and enhancing convenience of acquiring data of a data source.

A method of measuring Operational Equipment Effectiveness for one or more machines is described. The method comprises the following steps. One or more machines and a server are connected to a data network. At the server, a stream of tags is received from the one or more machines. This stream of tags is provided over the data network. The tags are defined according to an open standard for providing machine data. At the server, Operational Equipment Effectiveness is determined for the one or more machines using a machine learning generated model. This machine learning generated model has been trained to determine Operational Equipment Effectiveness parameters for the one or more machines from the tags. A method of training a server to measure Operational Equipment Effectiveness for one or more machines is also described, together with a suitable server and a suitably enabled set of machines.

A system includes a first facility element having a sensor and configured to generate recent performance data associated with a system of a facility, and a monitoring and control element in communication with the first facility element, where the monitoring and control element is configured to identify one or more analogous facility elements analogous to the first facility element, receive the recent performance data for the first facility element, generate projected performance data for the facility element according to historical performance data associated with the facility element and the one or more analogous facility elements, compare the projected performance data to a performance threshold, and override a setting or operating parameter of the first facility element according to a relationship of the projected performance data to the performance threshold and by sending one or more operational adjustment commands to at least one second facility element.

An evaluation apparatus includes a storage unit that stores a model modeling a state of a facility provided in a plant, a simulator that adjusts a parameter that is set in the model so that a difference between an actual measurement value based on a process value of the facility in a first state and a first simulate value calculated by using the model is equal to or less than a threshold, and an estimation unit that estimates a first estimated operating point that indicates an operation state of the facility in the first state based on the adjusted parameter.

A system includes a first facility element having a sensor and configured to generate recent performance data associated with a system of a facility, and a monitoring and control element in communication with the first facility element, where the monitoring and control element is configured to identify one or more analogous facility elements analogous to the first facility element, receive the recent performance data for the first facility element, generate projected performance data for the facility element according to historical performance data associated with the facility element and the one or more analogous facility elements, compare the projected performance data to a performance threshold, and override a setting or operating parameter of the first facility element according to a relationship of the projected performance data to the performance threshold and by sending one or more operational adjustment commands to at least one second facility element.

A controller including a processor configured to obtain a message from a task performing agent of a group of task performing agents allocated to a plurality of tasks, wherein the message comprises information about one or more assessments of the task performing agent, wherein the one or more assessments are based on a sensing process performed by one or more sensors of the task performing agent, wherein the task performing agent is an autonomous machine or a human agent equipped with sensors; and allocate a task of the plurality of tasks to the task performing agent, based on the information and based on whether the task performing agent is an autonomous machine or a human agent.

A machine tool management system includes a machine tool, a memory, a display, and a control circuit. The control circuit is configured to record, in the memory, a time point at which detection information with respect to a machine tool is detected and the detection information corresponding to the time point; determine selected detection information among the detection information to satisfy a determination condition; record, in the memory, the selected detection information corresponding to the time point; display a list of the selected detection information according to predetermined display items; extract from the memory at least part of the detection information including one of the selected detection information corresponding to one display item selected among the display items listed on the display; and to display a graph of a change over time in data included in the at least part of the detection information.

Information representing an operating state of each of a plurality of robots, etc. operating under different operation conditions are retrieved and outputted. A retrieval system (1) includes; an acquisition means (24) for acquiring, from a plurality of machines (25) being used under respectively different operation conditions, information representing an operating state of each of the plurality of machines; an accumulation means (13) for accumulating information representing a plurality of operating states thus acquired; and a search means (12) for accepting search criteria for searching the information accumulated in the accumulation means (13), retrieving information representing an operating state agreeing with the search criteria from the accumulation means (13), and outputting a search result.

An evaluation apparatus includes a storage unit that stores a model modeling a state of a facility provided in a plant, a simulator that adjusts a parameter that is set in the model so that a difference between an actual measurement value based on a process value of the facility in a first state and a first simulate value calculated by using the model is equal to or less than a threshold, and an estimation unit that estimates a first estimated operating point that indicates an operation state of the facility in the first state based on the adjusted parameter.