Securing communications from a process plant to a remote system includes a data diode disposed there between that allows data to egress from the plant but prevents ingress of data into the plant and its associated systems. Process plant data from the secure communications is then analyzed to detect conditions occurring at process plant entities in the process plant using various machine learning techniques. When the process plant entity is a valve, the mode of operation for the valve is determined and a different analysis is applied for each mode in which a valve operates. Additionally, the process plant data for each valve is compared to other valves in the same process plant, enterprise, industry, etc. Accordingly, the health of each of the valves is ranked relative to each other and the process plant data for each valve is displayed in a side-by-side comparison.

A device may receive operating information obtained by one or more sensors associated with plant equipment. The operating information may identify one or more operating parameters associated with operation of the plant equipment. The device may identify one or more portions of the operating information to be provided for parallel processing, and may prioritize the one or more portions for parallel processing based on a criticality of the plant equipment or a state of the plant equipment. The device may provide the one or more portions of the operating information for parallel processing based on the prioritization, and may determine one or more results associated with parallel processing of the one or more portions of the operation information. The device may provide the one or more results for display or to control operation of the plant equipment concurrently with operation of the plant equipment.

Provided is an information collection system reducing a computer load and a network load. An information collection system 1 includes a data stock device 1b and an event information creating device 1a connected via a network N. The data stock device 1b includes a management area 11 storing data flowing through the network N in a prescribed memory area according to the types of the data, and a change monitoring unit 16 monitoring a data change in the prescribed memory area of the management area 11. When the change monitoring unit 16 detects the data change, a plurality of data stored in the prescribed memory area 11 are collected, and transmitted to the event information creating device 1a. The event information creating device 1a collects the plurality of data received from the data stock device 1b as a series of data set, and creates event information 400.

An operation monitoring server includes a storage apparatus configured to store instructions, and a processor configured to operate based on the instructions. The processor is configured to acquire state information on at least one of a monitoring target device or a base location in which the monitoring target device is placed. The processor is configured to select, based on the acquired state information, one of a plurality of service request processing apparatus each having a function of processing a service request received from the monitoring target device.

A method comprises selecting at least one wellbore variable of a wellbore operation and for each of two or more machine learning models, training each respective machine learning model with a respective set of training data values of the at least one wellbore variable detected in a respective different time interval. The method comprises for each of the two or more machine learning models, processing, for each of the at least one wellbore variable, a set of data samples of the respective at least one wellbore variable using each of the two or more trained machine learning models to output a respective model output response for each data sample of a set of data samples.

Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels connected to data collection points operationally coupled to an industrial component vibrationally coupled to a second industrial component in the industrial environment; a data storage structured to store a plurality of stored system response patterns; a data acquisition circuit; a data analysis circuit structured to: determine a measured noise pattern for the at least one industrial component; compare the measured noise pattern to the plurality of stored system response patterns to determine an identified noise pattern; and a response circuit structured to modify data collection from at least one input channel connected to data collection points operationally coupled to the second industrial component in response to the identified noise pattern.

An apparatus comprises an electronic equipment chassis comprising a housing and at least one lid, the housing comprising a control panel with a first set of one or more status indicators. The apparatus also comprises at least one latch configured for securing the at least one lid to the housing, the at least one latch comprising a second set of one or more status indicators. The apparatus further comprises a processing device configured to determine status information for electronic equipment housed in the electronic equipment chassis, the status information characterizing whether at least one of opening and removing the at least one lid is safe to perform at a given time, and controlling, based at least in part on the determined status information, at least one of the first set of indicators and at least one of the second set of indicators.

Systems, methods and apparatus for modifying a data collection trajectory for conveyors are described. An example system may include a data acquisition circuit to interpret a plurality of detection values, each corresponding to at least one of a plurality of input sensors communicatively coupled to the data acquisition circuit. The system may further include a data storage circuit to store specifications and anticipated state information for a plurality of conveyor types and an analysis circuit to analyze the plurality of detection values relative to specifications and anticipated state information to determine a conveyor performance parameter. A response circuit may initiate an action in response to the conveyor performance parameter.

A device capable of detecting and capturing both cranking and operating events is provided. The device uses the same components to detect operating voltage for either electric or combustion vehicles, and to detect and facilitate capturing cranking events.

An abnormality detection method includes first acquiring, classifying, storing, second acquiring and determining. First acquiring acquires data about a predetermined item of a processing apparatus per segment from the apparatus, the segment being obtained by segmenting one period into a plurality of segments, the apparatus iteratively executing processes. Classifying classifies the data acquired by the first acquiring into a plurality of groups by a predetermined classification criterion. Storing stores an occurrence frequency of the data in the one period per group. Second acquiring acquires data about the predetermined item per segment in a determination target period, the determination target period having a same length as a length of the one period. Determining determines existence of abnormality in the apparatus when occurrence frequency of data in the determination target period per group deviates from an allowable range based on the occurrence frequency of the data in the one period.