A water usage alert device has a housing. An opening is formed through the housing. A water monitoring module is positioned within the housing. The water monitoring module monitors a temperature of water running through a pipe positioned through the opening formed in the housing, an amount of water flowing through the pip; and provides alerts as to a length of time the water has been running through the pipe.

A robotic vehicle (10) may include a chassis supporting a storage tank in which an aqueous solution is contained, a mobility assembly operably coupled to the chassis to provide mobility for the robotic vehicle about a service area (20), a positioning module (60) configured to provide guidance for the robotic vehicle (10) during transit of the robotic vehicle (10) over the service area (20), a spray assembly (90) and control circuitry (12).

A drag pointer configured for calculating a process measurement variable including calculation circuitry for approximately calculating a past temporal development of the value of the process measurement variable from process measurement data of a measuring device, and for calculating the current value of the process measurement variable from the past temporal development.

The present disclosure provides methods, Internet of Things (IoT) systems, and mediums for correcting a smart gas flow. The method may be implemented by a smart gas device management platform of an IoT system for correcting a smart gas flow. The method may include: obtaining reading data of a gas meter; determining a first confidence level of the reading data based on the reading data; in response to a determination that the first confidence level is smaller than a confidence level threshold, obtaining a working condition parameter; and determining, based on the working condition parameter, a gas meter correction mode.

The present disclosure provides methods, Internet of Things (IoT) systems, and mediums for correcting a smart gas flow. The method may be implemented by a smart gas device management platform of an IoT system for correcting a smart gas flow. The method may include: obtaining reading data of a gas meter; determining a first confidence level of the reading data based on the reading data; in response to a determination that the first confidence level is smaller than a confidence level threshold, obtaining a working condition parameter; and determining, based on the working condition parameter, a gas meter correction mode.

A modular ultrasonic flow meter including a substantially watertight meter housing connected to a flow tube; a measurement printed circuit board including a measurement circuit communicating with one or more ultrasonic transducers, arranged in the meter housing for transmitting and receiving ultrasonic signals; and a self-contained power supply. The ultrasonic flow meter further includes a control module comprising a module housing connected with a main printed circuit board including a central processing unit, a memory circuit and a communication circuit, and a power- and communication connection is provided between the main printed circuit board of the control module and the measurement printed circuit board whereby the self-contained power supply may power the main printed circuit board and the measurement printed circuit board.

A sensor support portion supports a physical quantity sensor. A flow path housing portion forms a measurement flow path, which accommodates a support tip end portion of the sensor support portion. The sensor support portion includes a support front surface, which includes a front fixed portion away from the support tip end portion and fixed to an inner surface of the flow path housing portion. The physical quantity sensor includes a sensor exposure surface exposed from the support front surface. A separation distance between an end portion of the front fixed portion and an end portion of the sensor exposure surface is smaller than a separation distance between the end portion of the sensor exposure surface and the support tip end portion.

A smart reading device for a water meter and a controlling method thereof are provided. The smart reading device includes a fixing component, a casing, an image capturing component, an image analyzing component, and a transmitting component. The fixing component is used to be fixed onto the water meter. The casing is disposed on the fixing component. The image capturing component is disposed in the casing for capturing a numerical display area of the water meter so as to obtain a water consumption image. The water consumption image is analyzed by the image analyzing component or a relay device to obtain a water consumption value. The transmitting component is used for transmitting the water consumption value or the water consumption image to the relay device.

A gas meter (10) includes a normal measurement mode in which the flow rate is measured in a predetermined sampling period and a detailed measurement mode in which the flow rate is measured in a sampling period shorter than the predetermined sampling period in the normal measurement mode. A center device (40) gives an instruction to the gas meter (10) to measure the flow rate in the detailed measurement mode. The center device (40) further collects flow rate data measured in the detailed measurement mode from the gas meter (10), and generates, based on the collected flow rate data, failure diagnosis information for diagnosing a failure in a gas appliance. With this configuration, the failure part in the gas appliance can be remotely identified, which accelerates the repair work.

A gas meter (10) includes a normal measurement mode in which the flow rate is measured in a predetermined sampling period and a detailed measurement mode in which the flow rate is measured in a sampling period shorter than the predetermined sampling period in the normal measurement mode. A center device (40) gives an instruction to the gas meter (10) to measure the flow rate in the detailed measurement mode. The center device (40) further collects flow rate data measured in the detailed measurement mode from the gas meter (10), and generates, based on the collected flow rate data, failure diagnosis information for diagnosing a failure in a gas appliance. With this configuration, the failure part in the gas appliance can be remotely identified, which accelerates the repair work.