Disclosed is a system for automatically measuring a discharge in real time based on a CCTV image. The system includes: a water depth measurement device filtering water depth data measured by a measurement means with a local linear regression-based bivariate scatterplot smoothing technique through flexible bandwidth application to calculate the water depth of a stream; an image acquisition device acquiring a continuous image of a flow speed measurement side of the stream; an image analysis PC using an image of the image acquisition device to measure the surface flow speed in real time and receiving a measured water depth from the water depth measurement device to measure the discharge in real time with cross-section data; and a discharge calculation and management server for transmitting and displaying a real-time discharge measurement result based on a web.

Methods and apparatus for quantifying pneumatic volume usage via valve controllers are disclosed. An example apparatus includes a valve controller operatively couplable to a pneumatic actuator, the pneumatic actuator being operatively coupled to a control valve. In response to an input signal indicating that a flow control member of the control valve is to be moved in a specified direction, the valve controller commands a current-to-pressure (I/P) converter of the valve controller to pulse a relay valve of the valve controller between a closed position and an open position. The pulsing of the relay valve causes the pneumatic actuator to move the flow control member in the specified direction. The valve controller calculates a pneumatic volume usage associated with the moving of the flow control member in the specified direction. The pneumatic volume usage is based on the pulsing of the relay valve.

A method collects data, a physical or physico-chemical parameter and/or an operating state, during operation of a sensor. The sensor contains a measuring element which provides elementary measuring units, which correspond to a physical or physico-chemical variable or the physical or physico-chemical parameter, as raw measurement data, and the sensor has a communication device and a memory. To determine the measurement resolution of the sensor, the conditions for generating time stamps are first determined using a correlation model. Time stamps of successive raw measurement data are generated in the sensor on the basis of the correlation model. The time stamps are transmitted with the result that the raw measurement data acquired by the measuring element are reconstructed and evaluated based on the time stamps using the correlation model. Wherein operating state monitoring of the sensor is carried out by comparing current time stamps with historical and/or empirical time stamps.

An HVAC system includes a blower, a motor drive, and a controller. A benchmark rate of the flow of air provided by the blower and a corresponding benchmark power output of the motor drive associated with operation of the blower at a test condition are received. The controller determines a first motor drive frequency at which the motor drive is operating. Based on the benchmark rate and a comparison of the first motor drive frequency to the predefined motor drive frequency, a first rate of the flow of air provided by the blower is determined. At a later time, a current power output of the motor drive is determined during operation of the blower at the test condition. Based on a comparison of the current benchmark power output to the benchmark power output, an updated benchmark rate of the flow of air provided by the blower is determined.

An HVAC system includes a blower, a motor drive, and a controller. A benchmark rate of the flow of air provided by the blower and a corresponding benchmark power output of the motor drive associated with operation of the blower at a test condition are received. The controller determines a first motor drive frequency at which the motor drive is operating. Based on the benchmark rate and a comparison of the first motor drive frequency to the predefined motor drive frequency, a first rate of the flow of air provided by the blower is determined. At a later time, a current power output of the motor drive is determined during operation of the blower at the test condition. Based on a comparison of the current benchmark power output to the benchmark power output, an updated benchmark rate of the flow of air provided by the blower is determined.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for identifying one or more water dispensing appliances that are currently using water. In one aspect, the method includes actions of obtaining a dispensing appliance signature, obtaining water consumption data that is based on first sensor data from a first sensor that is installed at the property, identifying a particular water dispensing appliance from among multiple different water dispensing appliances located at the property based on an analysis of (i) the water dispensing appliance signature and (ii) the water consumption data, and responsive to identifying the particular water dispensing appliance located at the property based on an analysis of (i) the water dispensing appliance signature and (ii) the water consumption data, generating output data based on the one or more particular water dispensing appliances that were identified.

Various embodiments are directed to a fluid composition sensor device and method of using the same. In various embodiments, the fluid flow composition sensor is configured to receive a volume of fluid, the fluid composition sensor comprising a housing, a removable fluid flow component, an impactor nozzle, a collection media assembly dock element configured to receive a replaceable collection media assembly comprising a collection media configured to receive one or more particles within the volume of fluid, an imaging device configured to capture an image of at least a portion of the one or more particles received by the fluid composition sensor, and a controller configured to determine, based at least in part on the image, at least one particle characteristic of the volume of fluid. The imaging device may be configured to capture the image of one or more particles received by the fluid composition sensor using lensless holography.

A method collects data during operation of a local sensor as a component of a supply network for distributing a consumable. The supply network contains a master in communication with the local sensor via a primary communication path. The sensor contains a measuring element which supplies, as raw measurement data, elementary measurement units. A wired primary communication path is provided between the sensor and the master. To define the measurement resolution of the sensor, the conditions for generating time stamps are defined in advance using a correlation model. The time stamps of successive items of raw measurement data are generated in the sensor on the basis of the correlation model. The time stamps are transmitted via the primary communication path so that the raw measurement data acquired by the measuring element is reconstructed using the correlation model on the basis of the time stamps received by the master, and analyzed.

Various embodiments are directed to a fluid composition sensor device and method of using the same. In various embodiments, the fluid flow composition sensor is configured to receive a volume of fluid, the fluid composition sensor comprising a housing, a removable fluid flow component, an impactor nozzle, a collection media assembly dock element configured to receive a replaceable collection media assembly comprising a collection media configured to receive one or more particles within the volume of fluid, an imaging device configured to capture an image of at least a portion of the one or more particles received by the fluid composition sensor, and a controller configured to determine, based at least in part on the image, at least one particle characteristic of the volume of fluid. The imaging device may be configured to capture the image of one or more particles received by the fluid composition sensor using lensless holography.

A washer control device includes a computer configured to: monitor a motor current value that is a value of electric current supplied to a washer motor; acquire an energization time for which the electric current is supplied to the washer motor; and calculate a usage amount of a washer fluid from the motor current value and the energization time, and calculate, as a margin of the washer fluid, a remaining amount of the washer fluid in a washer tank based on the usage amount.