A method and a system for monitoring a mechanical system, the mechanical system including a lubrication system provided with a reservoir containing a lubricating liquid, with a lubrication circuit designed to lubricate the mechanical system, as well as with a particle detection device arranged in the lubrication circuit. The detection device makes it possible, in particular, to count the number of particles flowing through the lubrication circuit and/or the flow rate of the particles. Comparing that number or that flow rate with a first threshold makes it possible to determine a risk of damage affecting the mechanical system and to anticipate the maintenance or reinforced monitoring operations that possibly need to be performed.

A display apparatus includes a display screen, and a controller that causes the display screen to display a composite image in which a first image acquired by imaging a space by a camera and a second image representing at least one type of aerosol existing in the space are combined. The position of the at least one type of aerosol as seen in a depth direction in the first image is reflected in the second image.

An imaging system connected to an occupant monitoring system includes communications with an apparatus for measuring gas or airborne compound concentrations in a vehicle cabin. The apparatus includes a housing configured as a flow tube in fluid communication with ambient air in the vehicle cabin. A spectrometer is mounted within the housing and subject to ambient air flow through the housing, and the spectrometer is connected to a light source and receives reflected light from the air flow to detect by spectrum analysis the concentration of target gases and/or airborne compounds. The spectrometer identifies spectral changes in the light and reflected light within the ambient air flow. The spectrometer communicates with computerized vehicle control systems, and runs software stored to calculate the concentration of target gases and/or airborne compounds from the spectral changes.

The invention relates to a method for determining the absolute value of the flow velocity (v) of a particle-transporting medium. At least two measurement laser beams (L_i) with linearly independent, non-orthogonal measurement directions (b_i) are emitted. The measurement laser beams (L_i) scattered at particles are detected and one measurement signal (m_i) is generated in each case for each measurement laser beam (L_i). The measurement signals (m_i) are evaluated, wherein absolute values of velocity components (v_i) are ascertained as projections of the flow velocity (v) on the respective measurement directions (b_i), wherein a solid angle region is ascertained for the prevalent direction of the flow velocity (v) and signs assigned to this solid angle region are chosen for the individual velocity components (v_i), and wherein the absolute value of the flow velocity (v) is determined using the ascertained absolute values of the velocity components (v_i) and using the chosen signs for the velocity components (v_i).

An air detection system is provided and includes an intelligent device and an internet of things processing device. The intelligent device includes an inlet, an outlet, a gas-flowing channel, a control module and a gas detection module. The gas-flowing channel is disposed between the inlet and the outlet. The control module is disposed in the intelligent device and includes a processor and a transmission unit. The gas detection module is disposed in the gas-flowing channel and electrically connected to the control module. The gas detection module includes a piezoelectric actuator and at least one sensor. The piezoelectric actuator inhales gas into the gas-flowing channel through the inlet and discharges the gas through the outlet. The sensor detects the introduced gas to obtain gas information and transmits the gas information to the control module. The internet of things processing device is connected to the transmission unit of the intelligent device for receiving the gas information.

A flow path device includes a first portion, and a second portion. The first portion includes a resin first body and a first reinforcement. In the first body, a first connector connects a first outer portion and a first joint having a groove pattern defining a first flow path.

The first reinforcement is between and bonded to the first outer portion and the first joint, and includes first protrusions protruding from the first body and including two specific-shaped portions. The second portion includes a resin second body and a second reinforcement. In the second body, a second connector connects a second outer portion and a second joint, and through-holes connect to the first flow path. The second reinforcement is between and bonded to the second outer portion and the second joint, and includes second protrusions protruding from the second body and including two specific-shaped portions.

A mist spraying unit atomizes a liquid and sprays the liquid as a mist, a light projector irradiates a space into which the mist is sprayed from the mist spraying unit with light, an imaging unit images scattered light by the mist of the light irradiated from the light projector, and an arithmetic unit calculates a mist concentration in the space based on a luminance value of a pixel constituting an image acquired from the imaging unit, thereby stopping spraying of the mist sprayed from the mist spraying unit.

A spectral method is provided for partitioning type and loading with aerosol optical depth. Based on multi-spectral optical aerosol depth, particle-size distribution and refractive index are derived by normalizing first- and second-order derivatives for processing quantitative calibration of main components. According to the optical feature parameters of various aerosol types, a radiation theory is applied to simulate multi-spectral optical depth for each density, including those of mixed types. The intrinsic parameters of aerosol types are figured out by constructing normalized derivative aerosol indices (NDAI). The clear characteristic differences between aerosol types are used to figure out main components of aerosols and their mixing ratios. The simulation result of the normalized index of various aerosol type is in good agreement with the ground observation data of Aerosol Robotic Network. It shows that NDAI is quite practicable in quantitative calibration of main components of atmospheric aerosol.

A particulate matter sensor system for sensing particulate matter in a fluid includes a substrate and a cover disposed on the substrate. The cover defines at least a portion of a flow path through the microfluidic system. The sensor system includes a particulate matter sensor disposed in an interior space between the cover and the substrate. The particulate matter sensor includes an integrated sensor device electrically connected to the substrate. The flow path is defined through the particulate matter sensor. The sensor system includes a fluid circulation device disposed in the interior space between the cover and the substrate and configured to cause fluid to flow along the flow path through the microfluidic system.

Described herein is a device (1) for measuring parameters of a material (3) flowing along a passage (5), the passage having two longitudinally spaced apart ends and transverse sides defined by one or more sidewalls (7, 9). The device (1) includes a laser source (15) positioned at a first location within or adjacent a side of the passage (5) and configured to generate a laser beam (17) at one or more predetermined frequencies. A beam projection element (21, 27) projects the laser beam (17) transversely across the passage (5) to irradiate the material (3) within a measuring zone (19). The measuring zone (19) includes a transverse region extending greater than 50% of the width of the passage (5). An optical imaging device (29) is positioned at a second location within or adjacent the passage (5) and configured to capture images of backscattered light from material (3) within the measuring zone (19). A processor (41) is in communication with the optical imaging device (29) and is configured to process the captured images and perform a scattering analysis to determine parameters of the material (3) through the passage (5).