Abstract:
Approaches are provided for storing in a memory device a current case history and a plurality of prior case histories associated with an industrial machine or system. The current case history and prior case histories include priority values corresponding to a plurality of discrete time values. Approaches are also provided for presenting on a graphical display a first graphical representation of a plurality of current case priority values (310) across the discrete time values. Approaches are also provided for presenting on the graphical display a second graphical representation of a number of prior case histories having prior case priority values across the discrete time values. In this way, a user can observe tendencies of prior case priority values associated with industrial machines or systems over the plurality of discrete time values.
Abstract:
Approaches are provided for a case management system where a case data structure (204, 300) is stored in a memory device (202). The case data structure represents characteristics of a case associated with an abnormality detected in an industrial machine or system. The case data structure includes evidence (392), an interpretation (304), and a recommendation (310) which may be evaluated to determine a rating (312). The rating is input and stored in a rating field of the case data structure.
Abstract:
Approaches are provided storing a case data structure in a memory device. The case data structure is representative of characteristics of a case associated with an abnormality detected in an industrial machine or system. The case data structure includes an evidence field with evidence, an interpretation field with an interpretation, a recommendation field with a recommendation, and a permission field with a permission. The permission field is configured to be populated with values indicative of access permissions for remote personnel at a remote site. Approaches are also provided for automatically blocking accessibility of the case data structure to the remote personnel at the remote site when the permission field is populated with a first content. Approaches are also provided for automatically making the case data structure accessible to the remote personnel at the remote site when the permission field is populated with a second content.
Abstract:
Approaches are provided for a case management system where a case data structure is stored in a memory device. The case data structure represents characteristics of a case associated with an abnormality detected in an industrial machine or system. A recommendation is transmitted from a central computing device at a central location to a local computing device at a remote location. A transmission is then received from the local computing device, wherein the transmission is indicative of at least one of a recommendation acceptance or a recommendation rejection. In response to receiving the transmission indicative of a recommendation acceptance, the recommendation field is changed to be represented by a new and different name. In response to receiving the transmission indicative of a recommendation rejection, an indication of the recommendation rejection is stored in the recommendation field.
Abstract:
Approaches are provided for establishing a communication link between a first communication device at a first location and a second communication device at a second location remote from the first location. At lea st one of the first communication device and the second communication device is associated with an industrial machine or system. Approaches are also provided for receiving a communication at the first communication device, the communication sent from the second communication device. The communication includes a user input message, a time-to-respond indication indicating a time, and an urgency indication. Approaches are also provided for presenting to a recipient at the first communication device the user input message, a graphical representation of the time-to- respond indication, and a graphical representation of the urgency indication.
Abstract:
Approaches are provided for an apparatus having an interface, a memory, a display device, and a processor. The memory store a first case data structure having a first content field and a second case data structure having a second content field with a selection command. The processor receives via an input of the interface a selection of the selection command. In response to receiving the selection, the processor automatically populates content of the first content field of the first case data structure with a content of the second content field of the second case data structure.
Abstract:
Approaches are provided for an interface receiving at an input an identified problem type and an identified machine type. A processor determines a first collection of cases that includes a plurality of cases associated with an abnormality detected in the industrial machine or system in response to the input receiving the identify problem type and the identified machine type. The processor forms a second collection of cases in response to the input receiving a first characteristic related to at least one of the identified problem type or the identified machine type. The processor forms a third collection of cases in response to the input receiving the second characteristic related to at least one of the identified problem type or the identified machine type.
Abstract:
Approaches are provided for storing a case data structure in a memory device. The case data structure is representative of characteristics of a case associated with an abnormality detected in an industrial machine or system. The case data structure has one or more case content fields, including an evidence field, an interpretation field, and a recommendation field. One or more graphical dashboard widgets are bound to the case data structure and selectively displayed at a display device with one or more of the case content fields. A user viewing the display device can concurrently evaluate the one or more widgets and the case content fields in order to identify a course of action associated with the abnormality detected in the industrial machine or system.