Inertial Filtering Research Articles

Gas Flow Formation in the Inertial Filtering (IF) Gas Separators Curvilinear Channels

This paper deals with an up to date problem for oil and gas industry- separation of the gas -fluid fogs. Here is described the worked out physical model of the gas movement process in the sections of the inertial filtering (IF) gas separators. One can find the mathematical model for research of the fields of velocities and pressures in the inertial curvilinear channel. The main simplifications and assumptions are explained. This mathematical model has been made using mathematical program Maple and it is received the 3-d graphic of the distribution componential speed parts in the channel and also 2-d graphics at the channel sectional view when the flow is flat. The new method for gas - fluid systems separation is suggested.

Green city air monitoring and architectural digital art design based on IoT embedded system

Although air quality is the natural resource on which every modern person lives, the quality of air quality will directly affect the healthy and sustainable development of our human beings. However, my country’s current monitoring of air quality still has many shortcomings, such as backward monitoring technology, small monitoring coverage area, and insufficient matching between portable online monitoring and permanent online monitoring, which cannot fully meet the increasing monitoring needs of modern people. This research mainly explores the design technology of embedded monitoring system in the Internet of Things era. Comprehensive application in the field of environmental air quality control, monitoring and management of green building cities in my country and the comprehensive application of modern architectural indoor digital decorative art design. For the bottom-level gas detection hardware control system part of this article, the new STM32 is selected as the bottom-level control hardware core. For the bottom-level detection of non-inhalable particulate matter, a high positioning accuracy gas sensor detection module with scattering working principle is selected. For SO2 For the bottom detection of pollutants and gases such as CO, O3, NO2, etc., the sensor module of the constant potential electrolyte gas concentration detector with high positioning accuracy is used as the bottom detection hardware probe. A combination of multiple digital filtering algorithms, such as limiting filtering and inertial filtering, is used to complete the preliminary analysis and processing of the sampled data.

Detection of the Mass of Airborne Particles in an online Optical Sensor System by Correlation of Geometric and Inertial Filtering

We present a method combining inertial and geometric filtering to approximate the mass of particles for optical particle detection systems. The method consists of three measurement steps and is based on the difference of the filtering behavior of geometric and inertial filters based on particle size and particle density respectively. Our measurements show the feasibility using polystyrene latex particles with sizes 300/500/900 nm and silica particles with diameters 500 nm and 1000 nm.

An adaptive background reconstruction algorithm based on inertial filtering

To improve the detecting effects of moving objects, an adaptive background reconstruction algorithm based on inertial filtering is proposed in this paper. According to different properties of the moving foreground and ever-changing background, the current frame is added to the background with a specific weight value. So the background can not only keep steady, but also be reconstructed at a specific speed. Experimental results show that the algorithm can reconstruct the background quickly and effectively whenever the background changes slowly or suddenly, or the background is mixed with moving foreground, and it can improve the veracity and robustness of objects detection effectively.