Abstract: A dual release actuator for a vehicle seat includes a motor, a cable carrier configured to receive power of the motor, thereby rotating to selectively pull one of two different cables, a Hall sensor to sense rotation of the motor, and a controller configured to count a sensing pulse of the Hall sensor for controlling rotation of the motor.

Abstract: A smart process system includes a main server, a plurality of process servers, a worktable, and a plurality of process display terminals arranged on the worktable in order of process and connected to respective process severs. A process-line-changeable process management method includes (a) one server from among servers related to processing of the current step detects that process progress has stopped because a server different from the one server is down; (b) the one server transmits a process command signal to a different process server; and (c) the different process server provides process work information about work after stopping of the process progress to a process display terminal connected to the different process server, on the basis of the process command signal. The main server and the plurality of process servers include a process DB area assigned independently for each process.

Abstract: A smart process system includes a main server, a plurality of process servers, a worktable, and a plurality of process display terminals arranged on the worktable in order of process and connected to respective process severs. A process-line-changeable process management method includes (a) one server from among servers related to processing of the current step detects that process progress has stopped because a server different from the one server is down; (b) the one server transmits a process command signal to a different process server; and (c) the different process server provides process work information about work after stopping of the process progress to a process display terminal connected to the different process server, on the basis of the process command signal. The main server and the plurality of process servers include a process DB area assigned independently for each process.

Abstract: Provided is an embedding analysis-based facility predictive maintenance method performed by a server, including (a) collecting time-series operation data of at least one machine; (b) deriving abnormal state information to determine whether the collected time-series operation data deviates from a time-series threshold, deriving an embedding result pattern through embedding analysis on the collected time-series operation data, and mapping the embedding result pattern and the abnormal state information; (c) building an abnormal pattern analysis model by performing machine learning on each mapped information and analyzing whether the embedding result pattern indicates abnormality or normality; and (d) when new time-series operation data is collected, applying the new time-series operation data to the abnormal pattern analysis model to derive current state information and future prediction state information.

Abstract: According to the present disclosure, a sensor controller configured to collect a variety of machine related operations data may receive operation data from at least one measurement sensor connected to a machine and configured to detect the operation data of the machine and transfer the operation data to a communication module to be transmitted to and collected by a server. Even if a different measurement sensor is connected to a sensor controller, the operation data of the connected measurement sensor can be still recognized.

Abstract: According to the present disclosure, time-sequential threshold data can be automatically detected by a server and thus can be compared with operation data in all of time domains. Therefore, it is not necessary for an operator to input threshold data by hand. Further, according to the present disclosure, it is possible to precisely detect an error of a machine or a defect of a product which has not been conventionally recognized at the time of setting a threshold (absolute value).

Abstract: According to the present disclosure, time-sequential threshold data can be automatically detected by a server and thus can be compared with operation data in all of time domains. Therefore, it is not necessary for an operator to input threshold data by hand. Further, according to the present disclosure, it is possible to precisely detect an error of a machine or a defect of a product which has not been conventionally recognized at the time of setting a threshold (absolute value).

Abstract: According to the present disclosure, a sensor controller configured to collect a variety of machine related operations data may receive operation data from at least one measurement sensor connected to a machine and configured to detect the operation data of the machine and transfer the operation data to a communication module to be transmitted to and collected by a server. Even if a different measurement sensor is connected to a sensor controller, the operation data of the connected measurement sensor can be still recognized.