Methods, systems, and computer program products for cognitively predicting dust deposition on solar photovoltaic modules are provided herein. A computer-implemented method includes deriving, with respect to solar photovoltaic modules, dust parameters from image data, and estimating, for a given future time at a current module orientation, an amount of surface area of the modules that will be covered by dust and a yield loss of the modules associated with dust coverage. The method also includes forecasting, for the given future time at each of one or more modified module orientations, an amount of surface area of the modules that will be covered by dust and a yield loss of the modules associated with dust coverage. Further, the method includes generating an instruction to change the orientation of at least one of the modules, and outputting the instruction to at least one actuation system associated with the modules.

Devices (herein powder spreadability inspection tools) and methods are provided for evaluating the spreadability of powders utilized in additive manufacturing (AM) processes. In embodiments, the powder spreadability inspection tool includes a powder support surface on which a visual inspection area is provided, a spreader system including a spreader implement, and a powder dispenser. The spreader implement is movable relative to the powder support surface along a path, which extends or passes over the visual inspection area. The powder dispenser is operable to dispense a premeasured or metered volume of an AM powder sample onto the powder support surface ahead of the spreader implement. As the spreader implement moves along the path relative to the powder support surface, the spreader implement spreads a layer of the metered powder sample across the visual inspection area to allow a visual evaluation of the spreadability of the AM powder.

A system and method for the detection of one or more analytes in a collected sample employs capillary action in a sample card containing a sample substrate, at least one test capsule and an absorbent pad. The absorbent pad absorbs the contents of the test capsule and delivers the same to the sample substrate, with the contents of the test capsule chemically reacting with at least one detection reagent to establish an optical indicator for the analyte(s). The sample card can be automatically tested within a reader device, which records and processes an optical signal produced by the chemical reaction and outputs a test result. The collected sample can then be further analyzed using a second device. Additionally, an adhesive component can be provided so that a sample can be collected thereon. Furthermore, the at least one detection reagent can include a surfactant.

A method includes projecting light to obtain a reference measurement using a first photoresistor; collecting dust on a platform during a collection time interval; and projecting light across the platform to obtain a dust measurement using the first photoresistor or a second photoresistor.

A device (1), for measuring an amount of dirt (50), comprising: a receiver (2) for receiving a sample collector (40), with a dirt sample attached to the front surface (42); a first (11) and second (12) contact; an electrically conductive surface (14); an aligner (20) for positioning the electrically conductive surface (14) in contact with the back surface (44) of the received sample collector (40); and a resistance meter (30) configured to measure an electrical resistance between the first (11) and second contact (12), wherein, when the first (11) and second contact (12) are placed in contact with the front surface (42) and the electrically conductive surface (14) is placed in contact with the back surface (44), the measured electrical resistance between the first (11) and second contact (12) represents the amount of dirt (50) of the dirt sample between the first (11) and second contact (12).

Devices (herein powder spreadability inspection tools) and methods are provided for evaluating the spreadability of powders utilized in additive manufacturing (AM) processes. In embodiments, the powder spreadability inspection tool includes a powder support surface on which a visual inspection area is provided, a spreader system including a spreader implement, and a powder dispenser. The spreader implement is movable relative to the powder support surface along a path, which extends or passes over the visual inspection area. The powder dispenser is operable to dispense a premeasured or metered volume of an AM powder sample onto the powder support surface ahead of the spreader implement. As the spreader implement moves along the path relative to the powder support surface, the spreader implement spreads a layer of the metered powder sample across the visual inspection area to allow a visual evaluation of the spreadability of the AM powder.

A method of determining the condition of a metal powder for use in an additive manufacturing process, involving processing an image of the powder to measure a surface property of the powder, such as colour, texture or particle shape. The proportion of powder whose measured surface property falls outside a pre-determined range is determined and can be used to decide whether or not the powder is suitable for re-use. The proportion is determined by identifying individual particles in the image which are identified as statistical outliers amongst all of the particles shown in the image when considering a measured surface property. The relevant proportion may be determined statistically.

A particle size sensor for metallic powder includes a microwave cavity or waveguide, the microwave cavity or waveguide including a microwave source for generating microwaves within the microwave cavity or waveguide, a microwave receiver for detecting microwaves generated within the cavity or waveguide, a sample insertion point for receiving a sample of the metallic powder and an analyser arranged to determine a particle size for the metallic powder from receiver signals generated by the receiver.

The invention as herein described discloses a test apparatus (1) for testing dust suppression systems and a method for testing dust suppression systems using said test apparatus (1). Said test apparatus (1) comprises a housing (100) with at least two chambers (101,102) being separated from each other by a window (103) which comprises at least one transfer vent (104). Therein particle counting means (110, 120) are detachably mounted to at least one of said two chambers (101,102). Further, the first chamber (101) of said at least two chambers (101,102) comprises a door (121) and is equipped with supply means for supplying the first chamber (101) with particulate free air, and wherein the second chamber (102) of said at least two chambers (101, 102) is equipped with exit means for releasing air from the second chamber (102).

Disclosed herein is a novel optical particle characterization system and method of use that can be applied to harsh environments. By separating the sensing components from the electronics unit and using optical fibers for interconnection, only the sensing components need to endure harsh environmental conditions. This reduces the design constraints on the electronics unit and permits the incorporation of optical components into the sensing probe that can withstand high-temperature and high-pressure environments.