This apparatus can detect a user proximity to handwashing stations by electronic mechanism of proximity sensing with radio tags and anonymously tracking tagless users. It can also guide them through proper approved hand washing hygiene steps through visual/auditory cues, can track Users time/proximity in following hand hygiene guidance, and can communicate User handwashing data to a remote database from which data can be accessed.

A method of transmitting data from a manufacturing data originator at a manufacturing facility to a target computing system includes acquiring data indicative of an operation of the manufacturing data originator and associating the data acquired to one or more fields among a plurality of fields of a predefined message schema for a designated message type among a plurality of message types. The method further includes populating values of the fields of the predefined message schema of the designated message type based on the data associated with the fields and on message control data, where the message control data includes a facility identification, a data originator identification, a schema version identifier, or a combination thereof. The method further includes generating a message data string based on the populated fields of the predefined message schema and transmitting the message data string to the target computing system.

A method of transmitting data from a manufacturing data originator at a manufacturing facility to a target computing system includes acquiring data indicative of an operation of the manufacturing data originator and associating the data acquired to one or more fields among a plurality of fields of a predefined message schema for a designated message type among a plurality of message types. The method further includes populating values of the fields of the predefined message schema of the designated message type based on the data associated with the fields and on message control data, where the message control data includes a facility identification, a data originator identification, a schema version identifier, or a combination thereof. The method further includes generating a message data string based on the populated fields of the predefined message schema and transmitting the message data string to the target computing system.

A monitoring system of a working machine including a first wireless communicator arranged at and/or around a storage area of the working machine, a second wireless communicator arranged on the working machine and configured to communicate with the first wireless communicator in wireless, and a monitor to watch the working machine having the second wireless communicator when a signal intensity of radio wave received from the second wireless communicator by the first wireless communicator is equal to or more than a threshold intensity.

A monitoring system of a working machine including a first wireless communicator arranged at and/or around a storage area of the working machine, a second wireless communicator arranged on the working machine and configured to communicate with the first wireless communicator in wireless, and a monitor to watch the working machine having the second wireless communicator when a signal intensity of radio wave received from the second wireless communicator by the first wireless communicator is equal to or more than a threshold intensity.

An anomaly detecting device includes: a singular value decomposition unit configured to perform singular value decomposition of a variance-covariance matrix of a measured value matrix y.sub.0 composed of measured values acquired by a plurality of sensors in a time period considered to be normal, to thereby calculate a singular vector U and a singular value matrix S; an anomaly determination unit configured to apply the singular vector U and the singular value matrix S to a measured value matrix y.sub.t to be evaluated and which is acquired in an arbitrary time period to determine whether an anomaly is present from a result of application; and an anomalous part identification unit configured to, when the measured value matrix y.sub.t is determined to be anomalous, identify an anomalous part based on a diagonal element of a matrix obtained in association with the measured value matrix y.sub.t.

A manufacturing system for securely and remotely manufacturing a three-dimensional (3D) object can include the mechanical processing machine, a security module, and a system server. The mechanical processing machine can be configured to manufacture the 3D object. The security module can be configured to transmit the machine instructions to the mechanical processing machine. The system server can include a processor, a memory, and a marketplace subsystem. The memory can have a tangible, non-transitory computer readable medium with processer-executable instructions stored thereon. The marketplace can include a content creator module and a user module. The content creator module can be configured to receive and store at least one of 3D object data, interfacing settings, the machine instructions, and combinations thereof. The mechanical processing machine does not receive the 3D object data.

A low-powered sensor, a method for a low-powered sensor, and an apparatus are provided for monitoring a condition of a machine. Responsive to receiving a trigger signal during a setup phase, the low-powered sensor collects sensor data for a predetermined extended period of time. The low-powered sensor receives a setting of a delay based on a determined amount of time of the predetermined extended period of time, since the receiving of the trigger signal, for the machine to reach a steady operating condition within predetermined limits. Upon receiving the trigger signal after the receiving of the setting of the delay, the low-powered sensor waits a period of time of the set delay before collecting the sensor data for a predetermined amount of time that is shorter than the predetermined extended period of time, and provides the collected sensor data to a computing device for analysis.

A redundant control system includes a plurality of channels each including a processing system configured to execute a control application for a controlled system. The redundant control system also includes a switchover artificial intelligence control operable to evaluate a state of the channels of the redundant control system, monitor a plurality of input/output data and communication data of the channels, and apply a fault model to determine one or more component faults and system faults of the channels based on the state, the input/output data, and the communication data. The switchover artificial intelligence control is further operable to command a switchover of a control function from one of the channels having a lower health status to one of the channels having a higher health status based on the component faults and system faults of the channels.

A predictive diagnostics system for monitoring mechanical seals. The system autonomously detects a loss of lubrication within a sliding seal interface of a mechanical seal, the system including a loss of lubrication failure mode logic module configured to monitor data sensed by one or more sensors and diagnose conditions relating to a loss of lubrication within the sliding seal interface, and a plurality of other failure mode logic modules configured to monitor data sensed by the one or more sensors and diagnose conditions relating to specific types of mechanical failures known to occur in mechanical seal systems, the loss of lubrication failure mode logic module configured to determine which of the plurality of other failure mode logic modules are activated during the diagnosis of conditions related to a loss of lubrication within the sliding seal interface.