Approaches are provided for storing in a memory device a work plan and a case data structure associated with an industrial machine or system. The case data structure includes an impact field with an impact value, and an urgency field with an urgency value. A processor transmits via an output a case report to a plurality of local computing devices at a remote location. The case report is indicative of one or more characteristics of a case. The processor is further configured to receive via an input a plurality of transmissions from the plurality of local computing devices. Each of the transmissions are indicative of an assessed impact and an assessed urgency.

Approaches are provided for storing in a memory device a work plan and a case data structure associated with an industrial machine or system. The case data structure includes an impact field with an impact value, and an urgency field with an urgency value. A processor transmits via an output a case report to a plurality of local computing devices at a remote location. The case report is indicative of one or more characteristics of a case. The processor is further configured to receive via an input a plurality of transmissions from the plurality of local computing devices. Each of the transmissions are indicative of an assessed impact and an assessed urgency.

A diagnostic device includes a storage unit that stores first information including a first abnormal event which occurred in the past in a plant, a first attribution event that is a cause of the first abnormal event, and a first occurrence probability of the first attribution event, in which a causal relationship between the first abnormal and attribution events is indicated by a tree structure, and second information including a second abnormal event which is supposed to occur in the plant but has not yet occurred, a second attribution event that is a cause of the second abnormal event, and a second occurrence probability of the second attribution event, in which a causal relationship between the second abnormal and attribution events is indicated by a tree structure; and an estimation unit that estimates the cause of the sign of the abnormality, based on the first and second information.

A system and method for unsupervised prediction of machine failures. The method includes monitoring sensory inputs related to at least one machine; analyzing, via at least unsupervised machine learning, the monitored sensory inputs, wherein the output of the unsupervised machine learning includes at least one indicator; identifying, based on the at least one indicator, at least one pattern; and determining, based on the at least one pattern and the monitored sensory inputs, at least one machine failure prediction.

A system and method for unsupervised prediction of machine failures. The method includes monitoring sensory inputs related to at least one machine; analyzing, via at least unsupervised machine learning, the monitored sensory inputs, wherein the output of the unsupervised machine learning includes at least one indicator; identifying, based on the at least one indicator, at least one pattern; and determining, based on the at least one pattern and the monitored sensory inputs, at least one machine failure prediction.

An automated external defibrillator (AED) and AED Monitoring system made up of an AED, the AED having a self-diagnostic subroutine and performing said subroutine at regular intervals, the AED having at least an audio indicator that indicates the results of the self-diagnostic when the diagnosis is that the AED is in need of maintenance and a remote AED monitoring system, the AED monitoring system having an electromagnetic coil, microphone, battery, microprocessor, and wireless communication device, wherein the microprocessor selectively powers up the AED monitoring system prior to the AED's self-diagnostic subroutine and utilizes the electromagnetic coil and microphone to monitor for the AED's audio indicator that the AED is in need of maintenance, and the microprocessor transmitting a wireless signal through the wireless communication device indicating whether the AED is in need of maintenance; the microprocessor selectively powering down the AED monitoring system after transmitting the wireless signal.

An agricultural work machine, an agricultural work machine control system, and method for an agricultural work machine having RFID tags to determine a fault condition of machine components, devices, parts or systems. The RFID tags are located on, at, or near machine components or systems to sense a temperature of those components or systems. A receiver/transmitter interrogates the RFID tags and receives the sensed temperatures, and component identifiers. A controller receives the temperatures from the receiver/transmitter and compares the received temperatures to a threshold to determine whether a fault condition exists. If so, the controller transmits an alert signal to a user interface to indicate that a fault condition exists with an identified component, part, device, or system.

A computing system for building a virtual factory includes database and a virtual factory building module. The database stores modeling data. The virtual factory building module builds the virtual factory in which a progress situation of a work performed from a first portion to a second portion is displayed, based on the modeling data and a time difference between an output time of a first signal and an output time of a second signal, which is calculated based on the first signal output when a product is at a first portion on one or more facilities monitored from a first location present in an outside of the one or more facilities used in a real factory and the second signal output when the product is at a second portion on the one or more facilities monitored from a second location present in the outside of the one or more facilities. The first location is spaced from the second location, and the first portion is spaced from the second portion.

An information processing method includes: obtaining location information indicating an installation location of an appliance, and user information indicating a first user linked to the installation location; obtaining log information indicating an operation performed by the appliance, and receiver information indicating a second user that receives presentation information; determining, when detecting a change in a state of the first user by reference to the log information and determining that the first user does not match the second user, the presentation information to be presented to the second user in accordance with the change in the state; and outputting the presentation information determined.

A construction site status monitoring device is provided including processing circuitry configured to receive sensor data from a sensor associated with one or more construction devices, receive location data associated with the one or more construction devices, and generate a construction site status report based on the sensor data and the location data, wherein the construction site status report is indicative of conditions and location of the one or more construction devices.