A data collection and analysis system includes a communication unit and a data acquisition unit. The communication unit collects data indicating an internal state or operation state of an equipment item. The data acquisition unit acquires, from the communication unit, the data synchronized for each of groups according to setting information, the setting information being information in which the groups, a data acquisition timing, and a storage location of the data are set for a channel allocated to the data to be acquired from the equipment item, each of the groups bringing together a plurality of the channels, the data acquisition timing being a timing at which the data are acquired from the communication unit.

A fault database includes a fault identifier, a signature or pattern that indicates the presence of the fault, and a set of mitigation control steps. The fault database is intermittently updated and downloaded to an agricultural machine. A fault identification system on the agricultural machine scans data logs that are generated by a log generation system on the agricultural machine and compares information in the data logs to the signature or pattern in the fault database to determine whether any of the faults in the fault database are present on the agricultural machine. If a fault in the fault database is present, a mitigation control step is identified to mitigate the fault, and a control signal is generated on the agricultural machine to implement the mitigation control step.

Apparatus and associated methods relate to a vibrational sensing system (VSS) including an accelerometer and a data processor, which determines an “operational state” of a mechanical drive unit, the processor further employing the “operational state” to gate learning of long-term vibrational data to exclude collection of non-operational data, the long-term data collected to calculate alarm thresholds. For example, vibrations from a target motor are sensed by a coupled accelerometer. Vibrational data from the accelerometer is fed into a data processor which determines the operational state of the motor. The operational state (e.g., on/off indication) may gate data collection such that data is only acquired during on-time, which may advantageously create accurate baselines from which alarm thresholds may be generated, and nuisance alarms may be avoided.

An example embodiment involves rules related to repairing software programs, wherein the rules associate indications of software program failures with repair applications that are configured to correct the software program failures. One or more processors are configured to: (i) receive, by a predictive model, a representation of an execution history of a particular software program, wherein the predictive model has been trained on a corpus of execution histories of the software programs; (ii) generate, by the predictive model and from the execution history, a failure prediction for the particular software program; (iii) receive, by an automated repair controller application, the failure prediction from the predictive model; (iv) based on applying the rules to the failure prediction, determine, by the automated repair controller application, a repair application from the repair applications; and (v) cause, by the automated repair controller application, the repair application to be executed within the network.

Systems for self-organizing data collection and storage in a refining environment are disclosed. An example system may include a swarm of mobile data collectors structured to interpret a plurality of sensor inputs from sensors in the refining environment, wherein the plurality of sensor inputs is configured to sense at least one of: an operational mode, a fault mode, a maintenance mode, or a health status of a plurality of refining system components disposed in the refining environment, and wherein the plurality of refining system components is structured to contribute, in part, to refining of a product. The self-organizing system organizes a swarm of mobile data collectors to collect data from the system components, and at least one of a storage operation of the data, a data collection operation of the sensors, or a selection operation of the plurality of sensor inputs.

Methods and systems for sensor fusion in a production line environment are disclosed. An example system for data collection in an industrial production environment may include an industrial production system comprising a plurality of components, and a plurality of sensors each operatively coupled to at least one of the components; a sensor communication circuit to interpret a plurality of sensor data values in response to a sensed parameter group; and a data analysis circuit to detect an operating condition of the industrial production system based at least in part on a portion of the sensor data values; and a response circuit to modify a production related operating parameter of the industrial production system in response to the detected operating condition.

The present disclosure proposes a diagnostic system capable of properly identifying the cause of even an error for which multiple factors or multiple compound factors may be accountable. The diagnostic system according to the present disclosure is provided with a learning device for learning at least one of a recipe defining operations of an inspection device, log data describing states of the device, or specimen data describing characteristics of a specimen in association with error types of the device, and estimates the cause of the error by using the learning device (refer to FIG. 4).

A method for facilitating analysis of a fault in a building system. The method may include determining, by a processing circuit, occurrence of a fault, and capturing, by the processing circuit at a time of occurrence of the fault, a snapshot of conditions at the time by selecting a set of data points relating to the building equipment experiencing the fault and storing, by the processing circuit, event data comprising values of the set of data points at the time of occurrence of the fault. The method may also include facilitating analysis of the fault by providing, at a later time after the time of occurrence of the fault, the snapshot via a graphical user interface. The snapshot includes the event data.

A platform for updating one or more properties of one or more digital twins including receiving a request for one or more digital twins; retrieving the one or more digital twins required to fulfill the request from a digital twin datastore; retrieving one or more dynamic models corresponding to one or more properties that are depicted in the one or more digital twins indicated by the request; selecting data sources from a set of available data sources based on the one or more inputs of the one or more dynamic models; obtaining data from selected data sources; determining one or more outputs using the retrieved data as one or more inputs to the one or more dynamic models; and updating the one or more properties of the one or more digital twins based on the one or more outputs of the one or more dynamic models.

A total logging system configured to promptly and properly identify the cause of trouble and confirm countermeasures by comprehensively recording and accumulating an operator, a state of operations, and a work environment and tracing a series of operations together with recorded videos. The system includes: an image capturing device (ICD) configured to capture images of the state of operations; an information exchanging device (IED) configured to communicate information between a tag and a reader; several types of sensors configured to monitor the internal environment of a sterile working device and the operating state of an inward/outward conveying mechanism and other mechanisms; and an information recording and accumulating device (IRAD). The IRAD the operator according to information received from the IED and records details of operations performed by the operator using machines, appliances, treatment object articles and other items. The IRAD additionally records information regarding any or no change in the internal environment of the sterile working device and the operating state of the inward/outward conveying mechanism and other mechanisms according to information received from the sensors. The recorded information is provided with an index by corresponding to a video in chronological order to be recorded and accumulated.