The invention provides a method for identifying a sequence of events associated with a condition in a process plant using a control system. The method comprises recording process data, which is timestamped, and recording audio input from each personnel of a plurality of personnel of the process plant. The audio input is synchronized according to time with the process data. A keyword is identified from the temporally synchronized content of each audio input, and compared with the process information of one or more of an event and an equipment, for identifying at least one of a new process information and a supplementary process information related to the condition. One or more of the new process information and the supplementary process information identified for each keyword, and the plurality of events identified from the process data, are used for identifying the sequence of events associated with the condition.

This disclosure relates to a mobile, autonomous audio sensing and analytics system and method for monitoring operating states in one or more environments including manufacturing, commercial, and residential environments. The autonomous audio sensing and analytics system comprises: a plurality of machines configured to listen and collect information; at least one autonomous audio sensing and analytic system configured to capture the listened and collected information; and a visualization system communicatively coupled to at least one or more of machines or the autonomous audio sensing and analytic system, wherein the autonomous audio sensing and analytic system communicatively coupled to more than one machine stores, classifies, estimates, and outputs the information to the visualization system for performing at least one of analysis operation or failure notification.

A cell control system capable of estimating a cause of an alarm by estimating an influence of noise in a plurality of machines includes a machine operation instruction unit for transmitting an operation instruction to a managed manufacturing machine, a noise value collection unit for collecting detected noise information, an operation information collection unit for collecting operation information of a manufacturing machine, a learning unit for creating a learning model by performing machine learning using the collected operation information collected as an input signal and the detected noise information as an instruction signal, an estimation unit for analyzing the learning model to estimate operation information corresponding to a noise factor, and an operation instruction change unit for instructing the machine operation instruction unit to change instruction content based on the operation information corresponding to the noise factor.

The invention provides a method for identifying a sequence of events associated with a condition in a process plant using a control system. The method comprises recording process data, which is timestamped, and recording audio input from each personnel of a plurality of personnel of the process plant. The audio input is synchronized according to time with the process data. A keyword is identified from the temporally synchronized content of each audio input, and compared with the process information of one or more of an event and an equipment, for identifying at least one of a new process information and a supplementary process information related to the condition. One or more of the new process information and the supplementary process information identified for each keyword, and the plurality of events identified from the process data, are used for identifying the sequence of events associated with the condition.

This disclosure relates to a mobile, autonomous audio sensing and analytics system and method for monitoring operating states in one or more environments including manufacturing, commercial, and residential environments. The autonomous audio sensing and analytics system comprises: a plurality of machines configured to listen and collect information; at least one autonomous audio sensing and analytic system configured to capture the listened and collected information; and a visualization system communicatively coupled to at least one or more of machines or the autonomous audio sensing and analytic system, wherein the autonomous audio sensing and analytic system communicatively coupled to more than one machine stores, classifies, estimates, and outputs the information to the visualization system for performing at least one of analysis operation or failure notification.

Embodiments disclosed herein provide systems, methods, and computer readable media for probing alarm functionality at a premises. In a particular embodiment, a method provides, in response to activation of an audible alarm, obtaining audio information captured by a first communication device of a plurality of communication devices positioned throughout the premises. The method further provides determining whether the audio information indicates that the alarm is functioning properly and determining a first position of the premises where the first communication device is located. When the audio information indicates that the alarm is not functioning properly, the method provides indicating that the alarm is not functioning properly at the first position.

Embodiments disclosed herein provide systems, methods, and computer readable media for probing alarm functionality at a premises. In a particular embodiment, a method provides, in response to activation of an audible alarm, obtaining audio information captured by a first communication device of a plurality of communication devices positioned throughout the premises. The method further provides determining whether the audio information indicates that the alarm is functioning properly and determining a first position of the premises where the first communication device is located. When the audio information indicates that the alarm is not functioning properly, the method provides indicating that the alarm is not functioning properly at the first position.

A cell control system capable of estimating a cause of an alarm by estimating an influence of noise in a plurality of machines includes a machine operation instruction unit for transmitting an operation instruction to a managed manufacturing machine, a noise value collection unit for collecting detected noise information, an operation information collection unit for collecting operation information of a manufacturing machine, a learning unit for creating a learning model by performing machine learning using the collected operation information collected as an input signal and the detected noise information as an instruction signal, an estimation unit for analyzing the learning model to estimate operation information corresponding to a noise factor, and an operation instruction change unit for instructing the machine operation instruction unit to change instruction content based on the operation information corresponding to the noise factor.

An arrangement comprises a carriage running on a track entering an automation equipment environment of a first piece of equipment, the carriage comprising an image capturing device, a sound registering arrangement, and a carriage control unit operative to control the sound registering arrangement to register sounds emitted in the automation equipment environment, which sounds comprise sounds registered at a first track position of the carriage, receive the sounds from the sound registering arrangement, the sounds comprising sounds emitted from a point of interest on the first piece of automation equipment, determine a direction from the image capturing device to the point of interest based on the received sounds and adjust the track position of the carriage and/or the orientation of the image capturing device based on the determined direction.