A power tool having multiple wireless communication states and a method of wirelessly communicating by a power tool. The power tool includes a motor, a battery pack interface that selectively receives a battery pack, a backup power source, and a wireless communication controller coupled to the backup power source and the battery pack interface. The wireless communication controller operates in a connectable state when coupled to a battery pack and transmits tool operational data to the external device and receives tool configuration data from the external device. The wireless communication controller operates in an advertisement state when the wireless communication controller is coupled to and powered by the backup power source. In the advertisement state, the wireless communication controller is configured to transmit the unique tool identifier. The external device may also display an indication of the communication state of the power tool.

A method of capturing usage data of a usage area, which includes an automatic meter reading (AMR) device that broadcasts the usage data over a sequence of radio-frequency (RF) channels via a frequency-hopping spread spectrum (FHSS) signal. The method includes the steps of providing an RF receiver for the usage area, determining the sequence of RF channels, and receiving the usage data by tuning the RF receiver to an RF channel based on the sequence of RF channels. The sequence of RF channels includes an array of RF channels assigned to and ordered based on a channel position.

Various aspects described herein relate to a machine learning based signal recovery. In one example, a computer-implemented method of noise contaminated signal recovery includes receiving, at a server, a first signal including a first portion and a second portion, the first portion indicative of data collected by a plurality of sensors, the second portion representing noise; performing a first denoising process on the first signal to filter out the noise to yield a first denoised signal; applying a machine learning model to determine a residual signal indicative of a difference between the first signal and the first denoised signal; and determining a second signal by adding the residual signal to the first denoised signal, the second signal comprising (i) signals of the first portion with higher magnitudes than the noise in the second portion, and (ii) signals of the first portion having lower magnitudes than the noise in the second portion.

The present disclosure relates to a wireless battery management system, and more particularly, to a wireless battery management system, a node for wireless communication, and a method of transmitting data, which ensure stability and efficiency when obtaining battery data through wireless communication. A wireless battery management system includes a manager node obtaining battery data from a plurality of monitor nodes by using a first channel and a second channel which are communication channels based on wireless communication, a first monitor node collecting first battery data and transmitting the first battery data to the manager node through the first channel during a first dedicated slot, and a second monitor node collecting second battery data and transmitting the second battery data to the manager node through the second channel during the first dedicated slot.

A sensor based monitoring system (SBMS) for a wireless communications network, a monitoring device for the SBMS, and a SBMS server are provided herein. In one example, the SBMS includes: (1) a monitoring device configured to collect antenna data of an antenna mounted on a communications structure of a wireless communications network and communicate the antenna data over a wireless network, and (2) a SBMS server configured to provide actionable intelligence based on the antenna data and system data of the wireless communications network from at least one other data source.

Communication enabled circuit breakers are described. Methods associated with such communication enabled circuit breakers are also described. The communication enabled circuit breakers may include one or more current sensors. The one or more current sensors may be disposed in a clip. The clip may be coupled to a line side phase connection, and the clip may be shielded to attenuate signals.

An informatics system that can be head-worn under a helmet and used to provide a wearer's vital statistics and other information to a remote monitoring station, for example in connection with pre-hospital emergency care.

A system and method for remotely monitoring a sump pump system are disclosed. The sump pump system comprises a control system connected to an integrated arrangement of a sensor chamber and a sump pump. The sensor chamber includes a pressure sensor and a capacitive touch sensor for measuring the water level to automatically turn the sump pump on when the water rises to a preset level. A wireless controller is connected to the system, for wirelessly receiving monitoring instructions and wirelessly transmitting sump pump status data to a remote device. Further, a user can configure a water-attribute value by using an application in the remote device. The user can operate and manage sump pump data via the application.

A smart collar to be worn by an animal includes an imaging device configured to capture a plurality of images, and a microprocessor in communication with the imaging device to receive the plurality of captured images in real-time. The microprocessor is configured to perform at least one action selected from the group consisting of: analyze the plurality of captured images, compare the plurality of captured images with stored images, recognize at least one of a person, an animal, and an object depicted in at least one of the plurality of images, identify a behavior of the animal, issue a corrective action, issue an approving action, and issue an alert to a user.

Embodiments of the present disclosure relate to a data transmission method and associated devices. In the method, data collected by at least one monitoring device in a substation is received at a gateway. Further, a status of a connection between the gateway and a first network is detected, where the first network enables communication between the gateway and a server. Further, in response to detecting a disconnection between the gateway and the first network, the data is sent to a user device via a second network hosted by the gateway to enable the user device to forward the data to the server.