Abstract:
Among other things, one or more techniques and/or systems are provided for developing a health profile of an industrial asset based upon data pertaining to such an industrial asset. At least some of the data is transformed into primary state indicators, respectively representative of the status or condition of an aspect of the industrial asset. Using the primary state indicators, one or more events that are likely to occur to the industrial asset are identified and a health profile is developed based upon such events. The health profile may describe maintenance actions that will reduce a likelihood of an event(s) occurring, may describe a business impact on an entity associated with the industrial asset if an event(s) occurs, and/or may describe a performance impact on the industrial asset if an event(s) occurs, for example.
Abstract:
Among other things, one or more techniques and/or systems are provided for facilitating development, by a user, of a model describing a condition of an industrial asset. An output parameter of the model can be defined within a model development environment. The output parameter describes a condition of the industrial asset and can be defined using one or more variables. During deployment of the model within a deployment environment, respective variables of the model can be mapped to a data store where data associated with the variable is located. In this way, during development, a user can specify variables to be used within the model without specifying where to fetch and/or push data associated with the variable, for example. Further, the model can be executed within the deployment environment to assess the condition for a plurality of industrial assets.
Abstract:
Among other things, one or more techniques and/or systems are provided for identifying event images captured during an event associated with power equipment, such as a maintenance action. An entity, such as a maintenance technician, is equipped with an image recorder and an audio recorder. In some embodiments, the image recorder and/or audio recorder are wearable, such as mounted to eyewear and/or headwear worn by the entity. Audio that is recorded by the audio recorder is processed to identify events (e.g., key actions in a maintenance procedure). Based upon the identification of an event from the audio, event images (e.g., images captured temporally proximate to when the event was identified in the audio) associated with the event are identified and stored in a library. In some embodiments, one or more of such event images are later displayed to entities via a heads-up display, for example.
Abstract:
Among other things, one or more techniques and/or systems are provided for developing a criticality profile of an industrial asset. The criticality profile describes the importance of the industrial asset to a system in terms of one or more criticality metrics and/or one or more confidence profiles. Such metrics may include an operational metric indicative of the operation impact of the industrial asset on a system if the industrial asset remains unchanged or enters a degraded or improved state, a restoration metric indicative of a complexity of restoring the industrial asset to an operational state from the unchanged or degraded state and/or complexity of improving the industrial asset to an improved state, and/or an interdependency metric indicative of a relationship between the industrial asset and one or more other industrial assets and/or between the industrial asset and one or more structures in an environment associated with the industrial asset.
Abstract:
Among other things, one or more techniques and/or systems are provided for developing a criticality profile of an industrial asset. The criticality profile describes the importance of the industrial asset to a system in terms of one or more criticality metrics and/or one or more confidence profiles. Such metrics may include an operational metric indicative of the operation impact of the industrial asset on a system if the industrial asset remains unchanged or enters a degraded or improved state, a restoration metric indicative of a complexity of restoring the industrial asset to an operational state from the unchanged or degraded state and/or complexity of improving the industrial asset to an improved state, and/or an interdependency metric indicative of a relationship between the industrial asset and one or more other industrial assets and/or between the industrial asset and one or more structures in an environment associated with the industrial asset.
Abstract:
Among other things, one or more techniques and/or systems are provided for identifying event images captured during an event associated with power equipment, such as a maintenance action. An entity, such as a maintenance technician, is equipped with an image recorder and an audio recorder. In some embodiments, the image recorder and/or audio recorder are wearable, such as mounted to eyewear and/or headwear worn by the entity. Audio that is recorded by the audio recorder is processed to identify events (e.g., key actions in a maintenance procedure). Based upon the identification of an event from the audio, event images (e.g., images captured temporally proximate to when the event was identified in the audio) associated with the event are identified and stored in a library. In some embodiments, one or more of such event images are later displayed to entities via a heads-up display, for example.
Abstract:
Among other things, one or more techniques and/or systems are provided for developing a health profile of an industrial asset based upon data pertaining to such an industrial asset. At least some of the data is transformed into primary state indicators, respectively representative of the status or condition of an aspect of the industrial asset. Using the primary state indicators, one or more events that are likely to occur to the industrial asset are identified and a health profile is developed based upon such events. The health profile may describe maintenance actions that will reduce a likelihood of an event(s) occurring, may describe a business impact on an entity associated with the industrial asset if an event(s) occurs, and/or may describe a performance impact on the industrial asset if an event(s) occurs, for example.
Abstract:
Among other things, one or more techniques and/or systems are provided for facilitating development, by a user, of a model describing a condition of an industrial asset. An output parameter of the model can be defined within a model development environment. The output parameter describes a condition of the industrial asset and can be defined using one or more variables. During deployment of the model within a deployment environment, respective variables of the model can be mapped to a data store where data associated with the variable is located. In this way, during development, a user can specify variables to be used within the model without specifying where to fetch and/or push data associated with the variable, for example. Further, the model can be executed within the deployment environment to assess the condition for a plurality of industrial assets.