Abstract:
In one embodiment, a non-transitory computer readable medium may include computer-executable instructions that, when executed by a processor, may cause processor to receive a set of user data associated with a user that is attempting to access an electronic lock, receive a request to actuate a locking mechanism of the electronic lock configured to prevent the user from accessing a machine in an industrial automation system, actuate the locking mechanism in response to the request and the set of user data corresponding to an expected set of data, store a log of the request and the set of user data, and send the log to a cloud-based computing system.
Abstract:
In one embodiment, a non-transitory computer readable medium may include computer-executable instructions that, when executed by a processor, may cause processor to receive a set of user data associated with a user that is attempting to access an electronic lock, receive a request to actuate a locking mechanism of the electronic lock configured to prevent the user from accessing a machine in an industrial automation system, actuate the locking mechanism in response to the request and the set of user data corresponding to an expected set of data, store a log of the request and the set of user data, and send the log to a cloud-based computing system.
Abstract:
In one embodiment, a system includes an industrial automation device and a computing device. The computing device includes a display configured to display a set of procedures. The computing device also includes a processor configured to receive an input after each step of the set of procedures is performed by a user, analyze the input in view of one or more scoring factors associated with performance of the at least one step, determine a first score for the user, the industrial automation device, or both based on the scoring factors, and store the first score in a cloud-based computing system. The cloud-based computing system is configured to provide access to the first score.
Abstract:
In one embodiment, a system may include a multi-purpose sensor coupled to a machine operating in an industrial environment. The multi-purpose sensor may include a camera that obtains a first and second set of image data including images of the machine and an environment surrounding the machine. The first set of image data is associated with a baseline of the machine and the environment, and the second set of image data is acquired subsequent to when the first set is acquired. The system may include a computing device that may include a processor to receive the first and second set of image data, determine baseline positions of objects in the first set, determine subsequent positions of the objects in the second set, determine whether the subsequent positions vary from the baseline positions, and perform an action when the subsequent positions vary from the baseline positions.
Abstract:
In one embodiment, a tangible, non-transitory computer-readable medium includes computer instructions configured to receive image data from an apparatus, wherein the image data comprises a person within a proximity to an industrial automation device, determine whether the person is wearing a set of personal protection equipment (PPE) based on the image data, disable one or more operations of the industrial automation device when the person is not wearing the set of PPE, and track a usage of the set of PPE.
Abstract:
The present disclosure generally relates to a method for performing industrial automation control in an industrial automation system. As such, the method may include detecting, via a sensor system, positions and/or motions of a human. The method may then include determining a possible automation command corresponding to the detected positions and/or motions. After determining the possible automation command, the method may implement a control and/or notification action based upon the detected positions and/or motions.
Abstract:
Industrial automation blockchain data management (e.g., using a computerized tool) is enabled. For example, a system can comprise: a transfer component that, using a defined conversion algorithm, converts first data from a first industrial blockchain to second data applicable to a second industrial blockchain, other than the first industrial blockchain, a blockchain component that writes the second data to the second industrial blockchain, and a user interface component that renders an output indicative of the writing of the second data to the second industrial blockchain.
Abstract:
Performance-based smart contracts in industrial automation (e.g., using a computerized tool) are enabled. For example, a system can comprise: a memory that stores executable components; and a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a blockchain component that stores data representative of an output of an industrial automation device to an industrial blockchain, and an execution component that, in response to the output satisfying a smart contract stored on the industrial blockchain, facilitates execution of an element of the smart contract.
Abstract:
Industrial blockchain enabled automation control (e.g., using a computerized tool) is enabled. For example, a system can comprise: a memory that stores executable components, a processor, operatively coupled to the memory, that executes the executable components, the executable components comprising: a contract component that determines whether a product generated using industrial automation equipment satisfies a defined condition of a smart contract, and an execution component that, in response to product being determined to satisfy the defined condition, executes a defined term of the smart contract.
Abstract:
In one embodiment, a multi-purpose sensor may couple to a machine operating in an industrial environment and include numerous sensors disposed within the multi-purpose sensor to acquire sets of data associated with the machine or an environment surrounding the machine. A first portion of the sets of data may include historical sensor measurements over time for each of the sensors, and a second portion of the sets of data may include sensor measurements subsequent to when the first portion is acquired for each of the sensors. A processor of the multi-purpose sensor may determine a baseline collective signature based on the first portion, determine a subsequent collective signature based on the second portion, determine whether the collective signatures vary, and generate signals when a variance exists. The signals may cause a computing device, a cloud-based computing system, and/or a control/monitoring device to perform various actions.