Providing storage tailored for a storage consuming application, including: identifying, for an application that utilizes storage resources within a cloud-based storage system, one or more storage performance characteristics associated with the application; comparing the storage performance characteristics of the application that were identified with storage performance characteristics of storage resources of one or more cloud-based storage systems; and selecting, based on the comparing, one or more storage resources within the one or more cloud-based storage systems to provide storage services to the application.

A treatment method for an OOC action during a semiconductor production process includes: multiple Out Of Control Action Plan IDs (OCAPID) respectively corresponding to multiple semiconductor production process steps and multiple identified contents in one-to-one correspondence with the multiple OCAPIDs are established, and an OOC action checklist including multiple OOC action check items according to the identified contents is established; it is determined whether the OOC action occurs to a wafer subjected to the current semiconductor production process step, and if the OOC action occurs to the wafer, the current OCAPID corresponding to the current semiconductor production process step is automatically obtained, and the wafer is inspected according to the current identified content corresponding to the current OCAPID.

A manufacturing device monitoring system includes a plurality of manufacturing devices and a remote monitoring device. The manufacturing device includes a work unit, an equipment notifier, an error detector, and an error notifier. The error notifier determines whether or not an error detected by the error detector may be corrected by an operation from the remote monitoring device, notifies the remote monitoring device of the occurrence of the error in a case where the error can be corrected, and operates the equipment notifier to notify a first notification pattern in a case where the error cannot be corrected.

Disclosed is a fault signal recovery system including a data processor configured to generate a signal subset U* by removing, from a signal set U for a plurality of tags, some tags including a fault signal, and a first learning signal subset X* by removing tags disposed at positions corresponding to the some tags from a learning signal set X containing only tags of normal signals, a modeling unit configured to generate feature information F extractable from the first learning signal subset X* and recovery information P on a plurality of recovery models usable for restoring the fault signal, and a recovery unit configured to estimate and recover normal signals for the some tags based on the signal subset U*, the first learning signal subset X*, the feature information F, the recovery information P on the plurality of recovery models, and similarity Z.

A plant or refinery may include equipment such as condensers, regenerators, distillation columns, pumps, slide valves, or the like. Different operating methods may impact deterioration in equipment condition, thereby prolonging equipment life, extending production operating time, or providing other benefits. Mechanical or digital sensors may be used for monitoring equipment to determine whether problems are developing. Specifically, sensors may be used in conjunction with one or more system components to predict and detect slide valve sticking. A shielded, tube skin thermocouple assembly may provide a temperature profile for a slide valve. Tomography may be used to image a slide valve. An operating condition of the plant or refinery may be adjusted to prolong equipment life or avoid equipment failure.

A plant or refinery may include equipment such as condensers, regenerators, distillation columns, pumps, slide valves, or the like. Different operating methods may impact deterioration in equipment condition, thereby prolonging equipment life, extending production operating time, or providing other benefits. Mechanical or digital sensors may be used for monitoring equipment to determine whether problems are developing. Specifically, sensors may be used in conjunction with one or more system components to predict and detect slide valve sticking. An operating condition of the plant or refinery may be adjusted to prolong equipment life or avoid equipment failure.

A plant or refinery may include equipment such as condensers, regenerators, distillation columns, pumps, slide valves, or the like. Different operating methods may impact deterioration in equipment condition, thereby prolonging equipment life, extending production operating time, or providing other benefits. Mechanical or digital sensors may be used for monitoring equipment to determine whether problems are developing. Specifically, sensors may be used in conjunction with one or more system components to predict and detect slide valve hot spots. A shielded, tube skin thermocouple assembly may provide a temperature profile for a slide valve. Tomography may be used to image a slide valve. An operating condition of the plant or refinery may be adjusted to prolong equipment life or avoid equipment failure.

An apparatus is described herein related to remote monitoring of perishable trade items in environmentally-controlled storage containers. Relevant changes in the container environment are detected through various sensors-based event detectors. A timer serves to trigger a plurality of distinct alert states, comprising pre-alerts and full alerts, following an event-initiated time threshold expiry. A data repository of generic merchandise data is accessed in order to derive suitable timer pre-sets in relation to time thresholds for alert states. An account configuration engine serves to customize the threshold presets to the specific items stored inside the container.

A method for determining an appropriate sequence of actions to take during operation of an industrial plant includes obtaining values of a plurality of state variables that characterize an operational state of the plant (or a part thereof); encoding by at least one trained state encoder network the plurality of state variables into a representation of the operating state of the plant; mapping by a trained state-to-action network the representation of the operating state to a representation of a sequence of actions to take in response to the operating state; and decoding by a trained action decoder network the representation of the sequence of actions to the sought sequence of actions to take.

A control device of a technical installation receives in normal operation cyclically measurement variables from sensors, and outputs control variables to actuators. In normal operation, the control device stores the history of at least some of the measurement variables at least for a limited time and monitors the measurement variables for the occurrence of a fault. If a fault occurs, the control device transmits a fault message identifying the fault and the history to a knowledge base. In response to the fault message and the histories, the control device receives a reply from the knowledge base and outputs the reply to an operator. Before the normal operation is performed, the control device receives from the operator specifications which allow the control device to defines the histories. In the event of a fault, the control device determines, in dependence on the specifications, which histories to transmit to the knowledge base.