Abstract: The present disclosure provides a method and an Internet of Things system for gas usage monitoring and warning based on smart gas, the method is performed by a smart gas safety management platform of an Internet of Things system for gas usage monitoring and warning based on smart gas, comprising: obtaining gas usage data from at least one gas device, based on the gas usage data, determining a gas monitoring object from the at least one gas device; determining initial objects based on the gas monitoring object and a gas usage threshold; processing historical gas data of the initial objects by using an evaluation model to determine suspicions of the initial objects, wherein the evaluation model is a machine learning model; and sending gas usage safety warning information to a gas user corresponding to the target object.

Abstract: The application belongs to the technical field of signal acquisition, and discloses a stacked large-capacity signal acquisition and transmission system, which includes an adapter board, n acquisition boards, central control boards and a communication board sequentially laminated; where a circuit structure of each of the acquisition boards is the same; the adapter board is provided with circuit board interfaces and a plurality of first board-level connectors; an m-th acquisition board is provided with a signal acquisition and conditioning module, at least n?m+1 second board-level connectors and at least m third board-level connectors; the central control board is provided with a signal conversion module, at least one fourth board-level connector and at least one fifth board-level connector.

Abstract: The present invention relates to a portable traffic management system comprising a portable traffic signal assembly; a portable signal assembly; and a control unit in wireless communication with the portable traffic signal assembly and the portable signal assembly. The present invention alleviates one or more of the problems associated with the presently available traffic management systems.

Abstract: A space monitoring system includes environment measuring means for measuring an atmospheric environment of a monitored space (S), person sensing means for sensing the existence of a person in the monitored space (S), space condition calculating means for calculating whether the monitored space is an indoor environment likely to cause droplet infection or whether the monitored space is expected to become an indoor environment likely to cause droplet infection, based on atmospheric environment data measured by the environment measuring means and person data sensed by the person sensing means, and display means for displaying an indication for facilitating a user to improve an existing indoor environment likely to cause droplet infection or prevent the monitored space from becoming an indoor environment likely to cause droplet infection, based on a result of calculation by the space condition calculating means.

Abstract: A smart sensor early warning notification system. Certain aspects of the present disclosure provide for a smart sensor early warning notification system comprising a smart sensor coupled to a door and configured to detect one or more unauthorized access events, including sawing, blunt force and other atypical vibrations to the door. A smart sensor may be communicably engaged with a local alarm to communicate sensor data received at the smart sensor. The local alarm may be configured to process the sensor data received from the smart sensor and trigger an alarm event and/or notification or pre-event detection alert in response to the sensor data. A door controller may be configured to send different pulses or messages to indicate the type of alarm event to an alarm management server and/or access control servers via public/private cloud.

Abstract: The present application relates a two-wire communication control device and a multi-purpose device. The two-wire communication control device includes a signal receiving module, a first control module, at least one second control module, a power supply module, a coding module, and a decoding module. The signal receiving module is connected to the first control module, the first control module is connected to the coding module, the coding module is connected to the power supply module, the decoding module is connected to the coding module, the decoding module is further connected to the second control module, the power supply module is connected to a live wire and a neutral wire, the power supply module is further connected the first control module and the second control module, one of the coding module and the decoding module is connected to the live wire, and the other is connected to the neutral wire.

Abstract: In some examples, a system includes an article of personal protective equipment (PPE) that includes a communication component; an industrial controller device that is configured to control an industrial device and includes a communication component; and a computing device communicatively coupled to the article of PPE and the industrial controller device, wherein the computing device is configured to: receive PPE data from the article of PPE and industrial controller data from the industrial controller device; determine, based at least in part on a set of the PPE data that temporally corresponds to a set of the industrial controller data, an occurrence of a safety event; and perform, based at least in part on the determination of the safety event, at least one operation.

Abstract: A load-side voltage detection module for a metrology device includes a plurality of first resistors electrically coupled to a first load-side terminal, the first resistors being in series, a plurality of second resistors electrically coupled to a second load-side terminal, the second resistors being in series, a voltage divider electrically coupled between a first line-side terminal and a second line-side terminal, the voltage divider creating a reference voltage for the load-side voltage detection module, and a pulse generator to generate a pulse based on detection of voltage, the pulse indicating a voltage on at least one of the first load-side terminal or the second load-side terminal, above at least one threshold.

Abstract: An underwater data center includes a plurality of data centers positioned in a water environment, powered by one or more sustainable energy sources. One or more data center nodes is coupled to the data center or included in the plurality of data centers. A controller is coupled to the one or more data center nodes. An environmental information is included.

Abstract: Aspects of this disclosure implement at least one sensor in a user input device with an identifiable user input on an information handling system. A method may include receiving, by an information handling system, an indication that at least one sensor, located on an outward facing surface of a frame housing a user input device, is actuated; comparing, by the information handling system, the indication to an active profile configuration; and identifying, by the information handling system, the indication as an input based on the active profile configuration. Other aspects are also disclosed.

Abstract: A web browser (5) makes a communication thread (7) and a DOM update thread (6) run in parallel. The communication thread (7) overwrites, when signal data having the same unique identifier as received signal data already exists in a buffer area, the signal data stored in the buffer area with the received signal data. When receiving a signal data request event from the DOM update thread (6), the communication thread (7) transmits all signal data stored in the buffer area to the DOM update thread (6). The DOM update thread (6) updates a DOM for all the signal data. The DOM update thread (6) transmits, after updating the DOM, the signal data request event to the communication thread and updates, according to the updated DOM, a display content of a display part displayed on the web browser (5).

Abstract: Systems and methods for adaptively receiving telemetry data are disclosed. In one example embodiment of a method, mud pulse telemetry data is transmitted from a downhole location. The transmitted data may be received at a plurality of transducers. Each of the transducers may be positioned at a different location of a drilling operation. The received data from the plurality of transducers may be processed simultaneously. The data which most likely corresponds to the transmitted mud pulse telemetry data may be selected and output. In some embodiments received data from the plurality of transducers is processed with a plurality of different decoding chains. Parameters of individual ones of the decoding chains and/or the number of decoding chains may be autonomously varied.

Abstract: A physiological data acquisition system includes an array electrode sensor (220) having plural electrodes and configured to acquire physiological data; a single electrode sensor having a single electrode and configured to acquire additional physiological data; and a hub that is configured to receive the physiological data from the array electrode sensor and the additional physiological data from the single electrode sensor only along body communication channels. At least one of the array electrode sensor and the single electrode sensor is configured to send an energy request signal to the hub, along the body communication channels. The hub, in response to the received energy request signal, emits radio frequency signals, which are used by the at least one of the array electrode sensor and the single electrode sensor to harvest energy.

Abstract: Techniques are provided for near real-time anomaly event detection and classification with trend change detection for smart water grid operation management. In the first phase, a trend change is detected in each of one or more sensors by comparing new sensor data of a sensor with a historical trend pattern of the same sensor. In the second phase, and after the trend changes are detected, a valid event evaluation time window can be determined based on combining and analyzing the detected trend changes for flow and pressure sensors, e.g., at least one flow sensor and at least one pressure sensor from the same supply zone of the smart water grid. The valid event evaluation time window can be used with anomaly events that are detected in near-real time to classify the anomaly events in near-real time as valid, e.g., true anomaly events, or invalid, e.g., false alarms.

Abstract: A meter apparatus and method of operating a removable meter apparatus are described. The meter apparatus includes a tag associated with unique tag identification information and configured to be permanently affixed to a location housing at a unique physical location, and includes a removable meter unit configured to mate with the location housing and receive the tag identification from the tag and report the tag identification to a data manager configured to associate an identifier of the removable meter unit with the tag identification and unique physical location, and associate configuration information for the physical location with the removable meter unit and the tag identification. The unique physical location can comprise a single-space parking location.

Abstract: Electric vehicles indicate charge levels in different ways. A lighting control module is communicatively is configured to illuminate an exterior light of an electric vehicle to indicate a charge status of a battery for the electric vehicle. The charge status is indicated based on varying an intensity of the exterior light, based on illuminating a subset of the exterior lights, and/or based on an animation. The display of the charge indicator varies based on a location of the vehicle, the presence of a person in proximity to the vehicle, and/or a charger connected to the vehicle.

Abstract: The invention relates to a system for monitoring and controlling a dynamic network such as an oil, gas, or water pipeline. The system includes a plurality of sensors for measuring aspects of a state of the network with each sensor being associated with a segment of the network and connected to a virtual sensor which accumulates and pre-processes measurements from the sensors for each segment of the network. The system further includes a network topology processor for storing the topology of the network and relating sensors and virtual sensors to segments of the network and neighbouring sensors and virtual sensors in accordance with the topology and a reinforcement learning artificial neural network (ANN) based nonlinear state estimation and predictive control model which uses measurements from the sensors and virtual sensors to model the state of the network and estimate sequential states of the network.

Abstract: An information processing device includes at least one processor, in which the processor acquires position information and vital information of a user, determines whether or not the user is an infection risk person who has a probability of infection with an infectious disease, on the basis of the vital information, specifies, in a case where the user is determined to be the infection risk person, an infection risk place where there is a probability that the user is infected by the other person or infects the other person, on the basis of the position information, and distinguishably maps the infection risk place specified for the infection risk person and the infection risk place specified in advance for a confirmed infected person with the infectious disease.

Abstract: A device may receive a ticket identifier associated with a ticket, a vehicle identifier associated with a vehicle, and video data tracking the vehicle to a parking spot in a parking area. The device may process the video data, with models, to identify the parking spot and a parking spot location, and may associate the ticket identifier, the vehicle identifier, and the parking spot location. The device may receive a starting location of a user device associated with a user of the vehicle, and the ticket identifier based on the user scanning the ticket. The device may determine the parking spot location based on the ticket identifier, and may process the starting location and the parking spot location, with a path model, to calculate a navigation path from the starting location to the parking spot location. The device may provide the navigation path to the user device.

Abstract: The present invention is a sensor device comprising: a housing; a processing unit assembly disposed within the housing, wherein the processing unit comprising a high frequency oscillator, a first voltage meter, a low frequency oscillator, a second voltage meter; a probe having a predetermined shape and profile attached to the processing unit and extending from the housing a predetermined distance; and a first sensing unit integrated into the probe and in electrical communication with the high frequency oscillator and the first voltage meter; a second sensing unit integrated into the probe relative to the first sensing unit and in electrical communication with the low frequency oscillator and the second voltage meter.