Abstract: A method of using flash storage devices with different sized erase blocks is provided. The method includes allocating a plurality of erase blocks of heterogeneous erase block sizes to a RAID stripe, to form a tile pattern having the heterogeneous erase block sizes in the RAID stripe. The method includes writing the RAID stripe across the flash storage devices in accordance with the allocating, and stopping the writing the RAID stripe, responsive to contents of the RAID stripe reaching a threshold.

Abstract: A non-transitory computer-readable medium includes computer-executable instructions that, when executed, cause one or more processors of a first electronic device to perform operations including sending a request for asset data associated with an asset and receiving a set of telemetry data, a set of operational data, a set of inventory data, and a set of customer data associated with the asset. In the embodiment, the method includes selecting an asset model from a set of asset models associated with the asset based on the set of telemetry data, the set of operational data, the set of inventory data, and the set of customer data, wherein each asset model of the set of asset models corresponds to a particular task performed by the asset and generating a mapping hierarchy based on the selected asset model, wherein the mapping hierarchy includes a representation of a plant layout associated with the asset.

Abstract: A non-transitory computer-readable medium may include computer-executable instructions that, when executed, cause a processor to collect a portion of data associated with an asset from one or more sources based on a request received from a digital representation associated with the asset. The digital representation may perform a first set of simulations related to one or more operations of the asset over time. The processor may then generate a plurality of aligned datasets based the portion of the data, the one or more sources, and an identity of the asset. The processor may also aggregate the plurality of aligned datasets into a single dataset and transmit the single dataset to the digital representation to perform a second set of simulations based on the single dataset.

Abstract: A system may include a processor and a memory including computer-executable code that, when executed by the processor, causes the processor to receive a service request from a first device and to transmit a workflow dataset associated with an industrial automation device to the first device and the second device. The service request may cause a computing system to communicatively couple the first device to a second device. The workflow dataset may include one or more instructions associated with one or more operations for the industrial automation device and one or more virtual objects associated with the one or more instructions and the industrial automation device. The memory may include computer-executable code that, when executed by the processor, causes the processor to receive an input to the image data from the second device and to transmit the one or more additional visualizations to the first device for display.

Abstract: A non-transitory computer-readable medium includes instructions that, when executed, cause one or more processors to perform operations. The operations include receiving a first request to access a digital representation that is assigned to an asset of an industrial automation system and includes code specific to operating, maintaining, or diagnosing the asset. The operations also include verifying a security access for the first request, providing the computing device access to the digital representation, receiving an input to modify the code from the computing device and, performing one or more simulations based on the modified code by utilizing the digital representation. Additionally, the operations include sending one or more simulation results to the computing device, receiving, from the computing device, a second request for pushing the modified code to the asset, and in response to receiving the second request, causing the modified code to be sent to the asset.

Abstract: A non-transitory computer-readable medium includes instructions that, when executed, cause one or more processors of a first electronic device to receive data generated by a plurality of components of an industrial automation system and characterize one or more portions of the data by applying metadata to the one or more portions of the data. The metadata enables a second electronic device receiving the data to determine one or more contexts of the one or more portions of the data. Furthermore, the computer-executable instructions, when executed, cause the one or more processors to rearrange an order of the one or more portions of the data and cause the characterized and rearranged data to be sent to the second electronic device.

Abstract: A non-transitory computer-readable medium includes instructions that, when executed, cause one or more processors to perform operations. The operations include receiving a first request to access a digital representation that is assigned to an asset of an industrial automation system and includes code specific to operating, maintaining, or diagnosing the asset. The operations also include verifying a security access for the first request, providing the computing device access to the digital representation, receiving an input to modify the code from the computing device and, performing one or more simulations based on the modified code by utilizing the digital representation. Additionally, the operations include sending one or more simulation results to the computing device, receiving, from the computing device, a second request for pushing the modified code to the asset, and in response to receiving the second request, causing the modified code to be sent to the asset.

Abstract: A system may include a processor and a memory. The memory may include computer-executable code that, when executed by the processor, causes the processor to retrieve a workflow dataset from a database based on a query input associated with an industrial automation device. The workflow dataset may include an instruction associated with one or more operations for the industrial automation device and a virtual object associated with the one or more instructions and the industrial automation device. The memory may include computer-executable code that, when executed by the processor, causes the processor to transmit a first portion of the workflow dataset to a computing device corresponding to a first instruction. The memory may include computer-executable code that, when executed by the processor, causes the processor to transmit a second portion of the workflow dataset to the computing device in response to determining that the first instruction is completed.

Abstract: A method may include receiving a query input indicative of an identity of an industrial automation device and searching a database based on the query input to identify one or more workflow datasets corresponding to the identity of the industrial automation device. Each of the one or more workflow datasets may include one or more instructions associated with one or more operations of the industrial automation device and one or more virtual objects associated with the one or more instructions. The method may also include displaying one or more visualizations representative of the one or more workflow datasets via an electronic display of a computing device. Each of the one or more visualizations may receive an input that causes the computing device to receive at least a portion of a respective workflow dataset.

Abstract: A system may include a processor and a memory. The memory may include computer-executable code that, when executed by the processor, causes the processor to retrieve a workflow dataset from a database based on a query input associated with an industrial automation device. The workflow dataset may include an instruction associated with one or more operations for the industrial automation device and a virtual object associated with the one or more instructions and the industrial automation device. The memory may include computer-executable code that, when executed by the processor, causes the processor to transmit a first portion of the workflow dataset to a computing device corresponding to a first instruction. The memory may include computer-executable code that, when executed by the processor, causes the processor to transmit a second portion of the workflow dataset to the computing device in response to determining that the first instruction is completed.

Abstract: A non-transitory computer-readable medium may include computer-executable instructions that, when executed, cause a processor to collect a portion of data associated with an asset from one or more sources based on a request received from a digital representation associated with the asset. The digital representation may perform a first set of simulations related to one or more operations of the asset over time. The processor may then generate a plurality of aligned datasets based the portion of the data, the one or more sources, and an identity of the asset. The processor may also aggregate the plurality of aligned datasets into a single dataset and transmit the single dataset to the digital representation to perform a second set of simulations based on the single dataset.

Abstract: A non-transitory computer-readable medium includes computer-executable instructions that, when executed, cause one or more processors of a first electronic device to perform operations including sending a request for asset data associated with an asset and receiving a set of telemetry data, a set of operational data, a set of inventory data, and a set of customer data associated with the asset. In the embodiment, the method includes selecting an asset model from a set of asset models associated with the asset based on the set of telemetry data, the set of operational data, the set of inventory data, and the set of customer data, wherein each asset model of the set of asset models corresponds to a particular task performed by the asset and generating a mapping hierarchy based on the selected asset model, wherein the mapping hierarchy includes a representation of a plant layout associated with the asset.

Abstract: A non-transitory computer-readable medium includes instructions that, when executed, cause one or more processors to perform operations. The operations include receiving a first request to access a digital representation that is assigned to an asset of an industrial automation system and includes code specific to operating, maintaining, or diagnosing the asset. The operations also include verifying a security access for the first request, providing the computing device access to the digital representation, receiving an input to modify the code from the computing device and, performing one or more simulations based on the modified code by utilizing the digital representation. Additionally, the operations include sending one or more simulation results to the computing device, receiving, from the computing device, a second request for pushing the modified code to the asset, and in response to receiving the second request, causing the modified code to be sent to the asset.

Abstract: A non-transitory computer-readable medium includes instructions that, when executed, cause one or more processors of a first electronic device to receive data generated by a plurality of components of an industrial automation system and characterize one or more portions of the data by applying metadata to the one or more portions of the data. The metadata enables a second electronic device receiving the data to determine one or more contexts of the one or more portions of the data. Furthermore, the computer-executable instructions, when executed, cause the one or more processors to rearrange an order of the one or more portions of the data and cause the characterized and rearranged data to be sent to the second electronic device.

Abstract: A system may include a processor and a memory. The memory may include computer-executable code that, when executed by the processor, causes the processor to retrieve a workflow dataset from a database based on a query input associated with an industrial automation device. The workflow dataset may include an instruction associated with one or more operations for the industrial automation device and a virtual object associated with the one or more instructions and the industrial automation device. The memory may include computer-executable code that, when executed by the processor, causes the processor to transmit a first portion of the workflow dataset to a computing device corresponding to a first instruction. The memory may include computer-executable code that, when executed by the processor, causes the processor to transmit a second portion of the workflow dataset to the computing device in response to determining that the first instruction is completed.

Abstract: A system may include a processor and a memory. The memory may include computer-executable code that, when executed by the processor, causes the processor to retrieve a workflow dataset from a database based on a query input associated with an industrial automation device. The workflow dataset may include an instruction associated with one or more operations for the industrial automation device and a virtual object associated with the one or more instructions and the industrial automation device. The memory may include computer-executable code that, when executed by the processor, causes the processor to transmit a first portion of the workflow dataset to a computing device corresponding to a first instruction. The memory may include computer-executable code that, when executed by the processor, causes the processor to transmit a second portion of the workflow dataset to the computing device in response to determining that the first instruction is completed.

Abstract: A method may include receiving a query input indicative of an identity of an industrial automation device and searching a database based on the query input to identify one or more workflow datasets corresponding to the identity of the industrial automation device. Each of the one or more workflow datasets may include one or more instructions associated with one or more operations of the industrial automation device and one or more virtual objects associated with the one or more instructions. The method may also include displaying one or more visualizations representative of the one or more workflow datasets via an electronic display of a computing device. Each of the one or more visualizations may receive an input that causes the computing device to receive at least a portion of a respective workflow dataset.

Abstract: A system may include a processor and a memory including computer-executable code that, when executed by the processor, causes the processor to receive a service request from a first device and to transmit a workflow dataset associated with an industrial automation device to the first device and the second device. The service request may cause a computing system to communicatively couple the first device to a second device. The workflow dataset may include one or more instructions associated with one or more operations for the industrial automation device and one or more virtual objects associated with the one or more instructions and the industrial automation device. The memory may include computer-executable code that, when executed by the processor, causes the processor to receive an input to the image data from the second device and to transmit the one or more additional visualizations to the first device for display.

Abstract: The technology disclosed herein enables presentation of a risk overview based off of the product lifecycles for components in an industrial environment. In a particular embodiment, a method includes, in a lifecycle management system, identifying components of an industrial system having a product lifecycle and determining the product lifecycles for the components. The method further includes determining a number of replacements for the components in an inventory for the industrial system. The method also includes presenting a risk overview for the industrial system based on the product lifecycles and the number of replacements.

Abstract: The technology disclosed herein enables presentation of a product lifecycle overview of the product lifecycles for components in an industrial environment. In a particular embodiment, a method includes, in a lifecycle management system, identifying components of an industrial system that have a product lifecycle and determining the product lifecycles for the components. The method further includes presenting an overview of the product lifecycles to a user.