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 telemetry producer sends a hello message to a telemetry registration interface. The interface returns a hello message. The producer sends a producer protocol suite to the interface. An acceptance of the protocol suite and an indication that the protocol suite has been forwarded to a telemetry registration controller is returned. The producer sends a hello message to the controller. The controller returns an acknowledgement and a producer identifier (ID). A second hello message and the producer ID is sent from the producer to the controller. The controller returns a second acknowledgement and the producer ID, indicating the producer registration. A telemetry consumer sends the controller a hello message. An acknowledgement with a consumer identifier (ID), is returned to the consumer. The consumer sends a consumer request packet to the controller. The controller sends the producer ID, and an indication of consumer registration to the consumer.

Systems, methods, and computer-readable for cognitive sensor fusion management include obtaining one or more data streams from one or more sensors. Learning algorithms are used for determining whether a combination of the one or more data streams includes sufficient information for achieving a desired outcome, based on context, business verticals, or other considerations. One or more modifications are determined to at least the one or more data streams or one or more sensors based on whether the combination of the one or more data streams includes sufficient information for achieving the desired outcome. In a closed-loop system, feedback from implementing the one or more modifications can be used to update the desired outcome.

The present disclosure is directed to providing a battery diagnosing system and method, which updates a diagnosis table of a battery diagnosing apparatus by communication between a central server and the battery diagnosing apparatus, and stores battery state information and a diagnosis code as a backup. According to an aspect of the present disclosure, since the diagnosis table stored in the battery diagnosing apparatus may be updated to a latest state, the battery state may be diagnosed more accurately. In addition, according to an aspect of the present disclosure, since the central server determines whether the diagnosis code generated by the battery diagnosing apparatus is misdiagnosed, the battery state may be diagnosed more accurately and reliably.

A remote user can specify data collection and processing characteristics of a wireless sensor network. In one example, a configuration station enables a user to activate/deactivate different sensor channels of data to support a delivery of data streams to customers. In another example, a configuration station enables a user to specify reporting intervals for different sensor channels of data. In yet another example, a configuration station enables a user to specify transformation functions for different sensor channels of data. The remote configuration process can be applied to every sensor in every sensor module unit attached to every wireless node at a monitored location.

Techniques for identifying a type of an electronic device using image data corresponding to the electronic device are provided. For example, a method may include receiving image data and textual data corresponding to an electronic device. The image data and textual data may be analyzed, and a type of the electronic device can be identified based on the analysis. Usage data associated with other electronic devices of the same type may be analyzed, and further processing may be performed based on the analysis of the usage data. In some embodiments, the further processing may include transmitting a message to a user device, the message including content related to usage of the electronic device.

A system for collecting data from multiple sensors at a central node is described. The system includes multiple pairs of sensor array multiplexers (SAMs) and sensors connected in series along the length of two cables each having a twisted wire pair. A first end of the length of the two cables is connected to the central node for receiving data from each of the multiple pairs. The multiple pairs include sensors of at least two different types, which may have different sampling rates. The first cable carries timing data between the multiple pairs and the central node and the second cable carries sensor data between the multiple pairs and the central node.

A remote node device including a hardware layer, a hardware abstraction layer, and a software stack operating on the hardware abstraction layer. The software stack including an open-source cloud-based operating system integrated with a service provider defined abstraction layer configured to coordinate functionality of the software stack, virtualized software components such as a virtualized Converged Cable Access Platform (vCCAP) implemented in docker containers where the vCCAP is configured to command and control the remote node device with respect to a customer premise equipment. The software layer of the remote node device includes different types of YANG data models for model-driven management and model-driven telemetry from the remote node device and a customer premise equipment to a service provider back-office system.

A material system with a plurality of panels, process of making, and methods of use are presented herein. The material system provides a plurality of panels that can be reconfigured in various ways so that a clean surface is made available to a user with minimal effort. Generally speaking, a burp cloth with a plurality of panels and an attachment feature is presented such that when a liquid is dispelled during a burping session, the contaminated panel used can be easily removed such that a clean panel is readily available.

A computer-based system to improve data transfer rates between stationary or moving remote devices having sensors and a server. A sensor data ingestion device is provided at the remote devices, having instructions therein which, when executed, receive and process data to place it in a form suitable for rapid download by a remote server. A memory buffer and a queue unit including computational circuitry configured to generate a queue status associated with triggering event data which is stored in the memory buffer. Instructions in the sensor data ingestion device may provide for a queue modification procedure, or the server may present a queue modification menu including one or more instances of a priority level choice. A queue controller may be provided. Streaming messages are downloaded by the server using a persistent WebSocket connection. Files configured to file chunks at the sensor data ingestion device, and the file chunks are downloaded by a server using a webhook. The file chunks are reconfigured at the server into time layered files associated with triggering event data. Time layered files may include a plurality of files having LiDAR point cloud data, video data readable topics, or GPS position data therein.