A system for calculating a concentration of a water treatment chemical includes a water analyzer, databases storing information regarding a chemical component of the water treatment chemical, a server sending the information stored in the database, and a communication device sending the information acquired from the server to the water analyzer. The water analyzer includes a storage unit storing a calibration curve defining the relationship between the concentration of a chemical component and absorbance, a communication unit receiving the information regarding the chemical component of the water treatment chemical, an irradiation unit irradiating water to be analyzed with light, a detection unit detecting transmitted light, and an arithmetic and control unit calculating absorbance from the result of the detection by the detection unit, acquiring a calibration curve from the storage unit, and calculating the concentration of the chemical component with reference to the acquired calibration curve and the measured absorbance.

An automatic analysis apparatus measures a concentration of an intended component in a biological sample, such as blood or urine, or determines whether such component is contained in the sample or not, and includes a function such that, with respect to the optical system, a part whose lifetime has ended is specified or the degree of deterioration of a part is detected to provide a user with the information. The automatic analyzer has a storage unit for storing a transmitted light distribution for a plurality of wavelengths detected by a receptor element for transmitted light which has passed through a substance to be measured, and a control unit for comparing a first, stored transmitted light distribution with a second transmitted light distribution acquired at the time of measurement to determine a deteriorating part from a plurality of parts based on the result of the comparison and output the result.

A method for controlling a spectrometer for analyzing a product includes steps of: acquiring a measurement representative of the operation of a light source, determining, depending on the measurement, a value of supply current of the light source, and/or a value of integration time of light-sensitive cells of a sensor, disposed on a route of a light beam emitted by the light source and having interacted with a product to be analyzed, and if the integration time and/or supply current value is between threshold values, supplying the light source with a supply current corresponding to the determined supply current value, adjusting the integration time of a light-sensitive cell to the determined integration time value, and acquiring light intensity measurements supplied by the sensor, enabling a spectrum to be formed.

The present invention relates to a method for controlling a spectrometer for analyzing a product, the spectrometer including a light source including several light-emitting diodes having respective emission spectra covering in combination an analysis wavelength band, the method including steps of: supplying at least one of the light-emitting diodes with a supply current to switch it on, measuring a light intensity emitted by the light source by measuring a current at a terminal of at least another of the light-emitting diodes maintained off, determining, according to each light intensity measurement, a setpoint value of the supply current of each diode that is on, and regulating the supply current of each diode that is on so that it corresponds to the setpoint value.

The present specification relates to a method for localizing or tracking emitters in a sample, wherein the sample is illuminated with an intensity distribution of an illumination light comprising a local minimum, wherein light emissions of a measuring emitter induced or modulated by the illumination light are detected, and wherein a position of the measuring emitter is estimated based on the detected light emissions and assigned positions of the local minimum, wherein the estimated position of the measurement emitter is corrected based on calibration data dependent on a speed and/or an acceleration of a measurement scanning movement of a scanning device, or wherein an actuation signal of the scanning device is adapted based on calibration data, wherein the calibration data comprise localization data of a calibration emitter obtained by means of at least one calibration scanning movement of the scanning device.

The disclosure provides a system for electromagnetic monitoring of active cracks in a concrete dam. The system includes at least four electromagnetic signal acquisition devices and a main control module. Each electromagnetic signal acquisition device includes: an electromagnetic monitoring sensor, an electromagnetic signal acquisition module, a power supply module and a first wireless communication module, for collecting and extracting electromagnetic radiation signals generated by the active cracks in the concrete dam. The main control module includes: a second wireless communication module, a CPU, a data storage unit and a data display unit, for processing the electromagnetic radiation signals received by the second wireless communication module, positioning locations of the active cracks and quantifying sizes of the active cracks.

A method and system for estimating dimensions of vehicle exterior defects using multiple cameras arranged in a predefined configuration. The method comprises receiving images from multiple strategically positioned image sensors including side cameras parallel to a vehicle height axis, diagonal cameras at an inclined angle, and roof top cameras perpendicular to the height axis. An angle to detected defects is computed based on image sensor parameters. Different distance calculations are applied based on vehicle section location, with specialized formulas for windshield, back window, and roof components. Defect sizes are computed by determining multiple defect dimensions, with at least one dimension being adjusted by an angular correction factor derived from the relationship between camera angle and vehicle surface orientation. The system implements comprehensive validation through cross-referencing between cameras, comparison with known specifications, and measurement consistency analysis across multiple frames.

Systems and methods for a self-calibrating three-phase flow water-cut laser sensing using an unsupervised machine learning model are disclosed. The methods include creating a training data set, wherein the training data set comprises training mixture spectra; training, using the training data set, an unsupervised machine learning model to estimate an estimated water-cut and an estimated path-length fraction value, wherein, via the training, the unsupervised machine learning model calibrates itself to determine the estimated water-cut and the estimated path-length fraction value; obtaining an observed mixture spectrum from a water-cut laser sensor; estimating, using the trained unsupervised machine learning model, the estimated water-cut and the estimated path-length fraction value from the observed mixture spectrum; determining, from the estimated path-length fraction value, an estimated gas fraction value; and determining a composition of fluids in a separator using the estimated water-cut and the estimated gas fraction value.

A inspection apparatus includes a light-emitting part that emits light, a first align key attached to one side of the light-emitting part, a light-receiving part disposed to be spaced apart from the light-emitting part in a first direction and receiving the light emitted from the light-emitting part, and a camera attached to one side of the light-receiving part, disposed to be spaced apart from the align key in the first direction, and capturing the first align key.

A method and system for estimating dimensions of vehicle exterior defects using multiple cameras arranged in a predefined configuration. The method comprises receiving images from multiple strategically positioned image sensors including side cameras parallel to a vehicle height axis, diagonal cameras at an inclined angle, and roof top cameras perpendicular to the height axis. An angle to detected defects is computed based on image sensor parameters. Different distance calculations are applied based on vehicle section location, with specialized formulas for windshield, back window, and roof components. Defect sizes are computed by determining multiple defect dimensions, with at least one dimension being adjusted by an angular correction factor derived from the relationship between camera angle and vehicle surface orientation. The system implements comprehensive validation through cross-referencing between cameras, comparison with known specifications, and measurement consistency analysis across multiple frames.