A method for detecting breaks or defects in railroad spikes transmits an ultrasonic signal that propagates along the body of the spike and detects the resulting reflected ultrasonic signal. The reflected signal is then analyzed to automatically detect the presence of a break or defect in the spike based on the time delay between the reflected signal and the transmitted signal.

A method and a dishwasher capable of analyzing the closure state of the filter of the dishwasher by using a deep neural network model trained through machine learning of artificial intelligence is provided. The dishwasher may include a microphone configured to obtain a drainage sound signal generated by draining washing water through the filter during operation of the dishwasher, a processor configured to analyze the degree of closure of the filter based on the drainage sound signal, and an alarm generator configured to generate an alarm if the degree of closure is a greater than or equal to a predetermined level. The operational state of the dishwasher may be analyzed based on a drainage sound of the washing water drained to the filter by the degree of closure of the filter.

A fastener and a system, apparatus, and method for monitoring a fastener are described. The fastener includes a head portion, a shank portion, a transponder, and a compression spring, wherein the head portion includes a mounting portion, and wherein the transponder is disposed in the mounting portion of the head portion. The transponder is arranged to monitor the shank portion, and includes an ultrasonic sensor and a signal processing circuit. The ultrasonic sensor is affixed to a transducer hosting surface, and is urged against the transducer hosting surface by placement of the printed circuit board in the head portion with the compression spring intervening therebetween. The ultrasonic sensor communicates with the signal processing circuit via the compression spring. The signal processing circuit captures a signal from the ultrasonic sensor and transforms the signal into a parameter corresponding to a tensile force being exerted by the fastener.

A method of remote facilities monitoring for the detection of contamination, leaks or failures in petrochemical and related facilities. Remote cameras are used to capture images of equipment to be inspected, which are transmitted to a central server. A software component on the central server applies artificial intelligence and image processing methods to detect the presence of anomalies in the images for display to an operator and potential subsequent dispatch of in person follow-up. Parallel data streams from sensors at the remote sites can be used by the software on the server to enhance the level of confidence in anomaly detection. The rl server software uses an adaptive object-detection function to analyze image data and learns over time to provide enhanced detection of interest regions and failure conditions.

An end-to-end well construction system includes an e-program for receiving a first input selected from well planning data, rig historical performance data, rig parameters, drilling engineering input, management of change, and a combination thereof, and configured to produce a first output selected from a machine and/or human readable sequence, a time depth curve, a drilling program, and a combination thereof, and a second output including analytics data. Further, the end-to-end well construction system includes a drilling control layer, configured to receive the first output from e-program, and to produce a third output including an automated sequence, and a smart well analytics system configured to receive the analytics data from the e-program and a second input selected from drilling data, downhole data, base data from the e-program, a modeling software, and a combination thereof, and to produce a fourth output to the drilling control layer for automated adjustment.

The technology disclosed relates to detecting malfunction in a sequencer. In particular, the technology disclosed relates to receiving sensor data obtained from a sensor of the sequencer, applying a smoothing function to the sensor data to produce a smoothed time series, determining changes between smoothed successive datum in the smoothed time series that exceed a predetermined change, determining a degree of instability based upon the predetermined change, and generating an alert indicating that the sequencer is malfunctioning when the degree of instability exceeds a predetermined threshold.

In one aspect, a method includes receiving data characterizing an alarm event report associated with a first industrial machine generated by a first user via a first web-based graphical user interface (GUI). The first web-based GUI associated with an enterprise monitoring system of an industrial enterprise that includes the first industrial machine. The alarm event report includes at least a portion of an event dataset including information of an alarm event associated with the first industrial machine, and an identity of a second user assigned to work on the alarm event report by the first user. The method further includes providing the alarm event report to a second web-based graphical user interface (GUI) associated with the enterprise monitoring system. The method also includes receiving, via a first GUI of a first monitoring system, data characterizing additional information associated with the alarm event and/or edits to the event dataset.

An electronic apparatus includes a memory configured to store an artificial intelligence model, and a processor configured to obtain data associated with a fan motor of the electronic apparatus, obtain a freezing degree of the fan motor by inputting the obtained data associated with the fan motor to the artificial intelligence model which is trained to output the freezing degree of the fan motor based on the inputting of the obtained data associated with the fan motor, identify whether to perform an operation in relation to the obtained freezing degree of the fan motor, and provide, based on identifying that the operation in relation to the obtained freezing degree of the fan motor is to be performed, notification information.

An electronic sensing and allocation system is provided for a distributed water infrastructure containing a plurality of differing appliances. The system may receive, from at least one sensor upstream of the plurality of differing appliances, a plurality of signals indicative of water usage within the distributed water infrastructure. The system may output a first indication of a first volume of water together with an indicator attributing the first volume of water to a first rate schedule, and output a second indication of a second volume of water together with an indicator attributing the second volume of water to a second rate schedule. The system may enable billing of the first and second volumes of water to a consumer at differing rates based on differing uses.

An apparatus is provided, comprising: a storage portion for storing, by each position on a patrol route, an equipment to be inspected in a plant which should be inspected by viewing by a patroller; a position acquisition portion for acquiring a position of a patroller on a patrol route; a first detection portion for detecting a viewed equipment which has been viewed by a patroller; and an alert portion for outputting an alert signal about the viewed equipment, in response to a fact that the equipment to be inspected, which corresponds to a position of a patroller on a patrol route, is not detected as the viewed equipment.