A method and system of determining air quality are disclosed. In examples, a method comprises identifying one or more aerosol particle types based on an absorbance spectra of aerosol particles captured on a filter and determining a mass concentration of each of the one or more aerosol particle types based on the absorbance spectra and the aerosol particle type. The method further comprises detecting a median particle size of each of the one or more aerosol particle types based on a rate of change of the absorbance spectra and the aerosol particle type. The method further comprises determining an air quality metric based on the identified one or more aerosol particle types, the determined mass concentration of each of the one or more aerosol particle types, and the determined median particle size of each of the one or more aerosol particle types.

The present invention relates to a method for measuring condensable particulate matters formed from exhaust gas of an internal combustion engine, including the steps of sucking exhaust gas from the internal combustion engine; diluting the sucked exhaust gas to simulate it to atmospheric condition; a first measurement step of branching some of the exhaust gas of the atmospheric condition and measuring particulate matters including condensable particulate matters and filterable particulate matters; a second measurement step of branching the rest of the exhaust gas of the atmospheric condition to remove the condensable particulate matters and measuring the particulate matters including only the filterable particulate matters; and comparing the first measurement step and the second measurement step to calculate an amount of the condensable particulate matters in the exhaust gas of the atmospheric condition.

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 detection device for tiny particles in a liquid is provided. The detection device comprises includes a flow cell, a laser, a scattered light collection device, a photoelectric detector, a fiber Bragg grating and a first optical fiber coupler, wherein scattered light collected by the scattered light collection device is sent to the fiber Bragg grating through the first optical fiber coupler, and reflected light of the fiber Bragg grating after receiving the scattered light is sent to the photoelectric detector through the first optical fiber coupler. The device can eliminate most scattered light generated by the liquid, and reduce the interference of the scattered light of the liquid to scattered light signals generated by the particles, so that the scattered light signals captured by the photoelectric detector are mainly light signals generated by the particles.

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.

An intelligent lithology identification system and method based on images and spectrum technology. The intelligent lithology identification system includes a rock shape analysis system, an image identification system, a sample processing system, a spectrum analysis system, and a central analysis and control system; wherein the central analysis and control system determines the final lithology of a sample according to the rock identification results from the image identification system and the analysis results from the spectrum analysis system. The technical solution further identifies the content and type of minerals by using spectrum technology, integrates and analyzes the results of spectrum analysis and image identification, and finally gives the lithology of the rock, which greatly improves the accuracy of lithology identification.

A system and method are described for rendering a characteristic for a set of particles passing through a measurement volume of a particle optical measurement system. The method includes acquiring raw particle data for the particles passing through the measurement volume. The raw particle data comprises a set of raw particle records. Each particle record comprises at least: a trajectory of at least one particle, and a second primary mark of the at least one particle whose value influences an effective sampling area corresponding to the measurement volume. The method includes generating and storing an effective sampling area based upon: the trajectory of the at least one particle, and the second primary mark. Thereafter, an ensemble characteristic is rendered for the set of particles by performing an operation on the sampling area-corrected set of particle records.

A mobile monitoring device for monitoring controlled contamination areas may include a motorized mobile structure, a sampling unit, and a central management and control unit. The motorized mobile structure is configured to move within an area to be monitored. The sampling unit is positioned on said mobile structure, and configured to perform sampling operations of air and/or surfaces of said area and obtain sampling data. The central management and control unit is operatively connected to the mobile structure and to said sampling unit. The mobile structure may be controlled by the central unit to reach predefined points of the area to be monitored. The sampling unit may be selectively activated and/or deactivated by said central unit in correspondence with said predefined starting points of said sampling operations.

A gas detection device manufactured by a semiconductor process includes a substrate, a microelectromechanical element, a light-emitting element, a particle-sensing element, a gas-sensing element, a driving-chip element and an encapsulation layer. The driving-chip element controls driving operations of the microelectromechanical element, the light-emitting element, the particle-sensing element and the gas-sensing element, respectively. When the microelectromechanical element is enabled to actuate transportation of gas, the gas is introduced into the gas detection device through an inlet aperture of the substrate. Scattered light spots generated by the light beam of the light-emitting element irradiating on suspended particles contained in the gas are received by the particle-sensing element to generate a detection datum of the suspended particles. The gas-sensing element detects the gas passing through and generates a detection datum of hazardous gas contained in the gas. Finally, the gas is discharged from an outlet aperture of the encapsulation layer.