Identifying a particular industrial asset at an industrial site can be a daunting task. A particular industrial asset may be one of many, and misidentification may lead to performing an unnecessary or harmful operation on a different industrial asset or omitting a needed operation on the intended industrial asset. By utilizing image information along with location information and any secondary information (e.g., sound, alarms, etc.), an industrial asset may be correctly identified and managed. Management may enable the performance of an operation and/or the recordation of a value of the industrial asset.

The claimed subject matter provides a system and/or method that facilitates employing a graphical user interface to monitor and/or manage an asset within an industrial environment. A graphical user interface can facilitate asset management including a first field that provides a user with a hierarchical representation of assets within an industrial environment. The graphical user interface can further include a second field that displays available management functionality associated with an asset selected within the first field.

A plug-on neutral (PON) device includes a housing that defines a phase cooperation portion configured to physically cooperate with phase buses of a bus assembly. The phase cooperation portion is configured to be electrically isolated from the phase buses and stabilize the PON device when installed on the bus assembly. A neutral cooperation portion is configured to physically cooperate with the neutral bus and to physically stabilize the PON device when installed. An electrical connector disposed at the neutral cooperation portion is configured to electrically connect to the neutral bus at an external end and to electrically connect to a conductive current path at its internal end. A lug assembly has one or more conductive terminal lugs, each terminal lug configured to receive current from an external neutral source via an aperture in the lug end of the housing and to electrically connect to the current path.

In certain aspects of the disclosure, a computer-implemented method includes receiving a selection of a model from a plurality of models running on an ecosystem. The method includes receiving annotated datasets with correct examples and incorrect examples. The method includes training, responsive to receiving the annotated datasets, the model based on the annotated datasets. The method includes running the model based on the training. The method includes receiving a feedback score of results from running the model based on the annotated datasets. The method includes iteratively running, until the feedback score is above a predetermined threshold, the model responsive to user evaluation of the results from running the model based on the annotated datasets. The method includes publishing the model responsive to the feedback score being above the predetermined threshold.

Computer-implemented systems and methods are disclosed, including systems and methods for performing compliance testing using language models or other machine learning models. A computer-implemented method may include, for example, accessing a content item; accessing a compliance ruleset; executing a compliance checker that utilizes a set of machine learning models; generating a prompt that includes the content item and the compliance ruleset; processing the prompt using the compliance checker; responsive to receiving a compliance determination dataset that indicates whether the content item satisfies one or more criteria within the compliance ruleset from the compliance checker; and generating an output based at least in part on the compliance determination dataset.

A method for managing assets configured to interact with an industrial process includes obtaining properties and/or a location for each asset, providing rules stipulating that the asset is to be assigned to a group in response to a condition regarding at least one of its properties and/or location being met; determining rules from the set of rules whose conditions are met by a particular asset; assigning the particular asset to one or more groups based on the so-determined rules; and applying a collective actuating and/or configuring action to all assets belonging to at least one particular group.

The present invention discloses a field assembled electrical distribution device assembled from various prepackaged modular kits. The prepackaged modular kits include all of the components required for their assembly. The prepackaged modular kits, when assembled by a certified assembler using a certified method and verification means provided by the modular kit manufacturer and one or more well know third-party certifiers, meets the requirements local, national and international electrical codes and is eligible for the third-party's certification mark.

In certain aspects of the disclosure, a computer-implemented method includes receiving a selection of a model from a plurality of models running on an ecosystem. The method includes receiving annotated datasets with correct examples and incorrect examples. The method includes training, responsive to receiving the annotated datasets, the model based on the annotated datasets. The method includes running the model based on the training. The method includes receiving a feedback score of results from running the model based on the annotated datasets. The method includes iteratively running, until the feedback score is above a predetermined threshold, the model responsive to user evaluation of the results from running the model based on the annotated datasets. The method includes publishing the model responsive to the feedback score being above the predetermined threshold.

In certain aspects of the disclosure, a computer-implemented method includes receiving a selection of a model from a plurality of models running on an ecosystem. The method includes receiving annotated datasets with correct examples and incorrect examples. The method includes training, responsive to receiving the annotated datasets, the model based on the annotated datasets. The method includes running the model based on the training. The method includes receiving a feedback score of results from running the model based on the annotated datasets. The method includes iteratively running, until the feedback score is above a predetermined threshold, the model responsive to user evaluation of the results from running the model based on the annotated datasets. The method includes publishing the model responsive to the feedback score being above the predetermined threshold.

Computer-implemented systems and methods are disclosed, including systems and methods for performing compliance testing using language models or other machine learning models. A computer-implemented method may include, for example, accessing a content item; accessing a compliance ruleset; executing a compliance checker that utilizes a set of machine learning models; generating a prompt that includes the content item and the compliance ruleset; processing the prompt using the compliance checker; responsive to receiving a compliance determination dataset that indicates whether the content item satisfies one or more criteria within the compliance ruleset from the compliance checker; and generating an output based at least in part on the compliance determination dataset.