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首页> 外文期刊>JSME International Journal. Series B, Fluids and Thermal Engineering >Pollution Level Estimation for Tunnel Ventilation Control
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Pollution Level Estimation for Tunnel Ventilation Control

机译：隧道通风控制的污染水平估算

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摘要

Traffic tunnels built in recent years are equipped with traffic counters and pollution sensors. Utilizing these built-in sensors, it is possible to develop an algorithm to estimate the amount of pollutants exhausted from the various types of vehicles passing through the tunnel. Also, with this estimated data and the sensor outputs, more accurate pollution levels can be assessed utilizing a Kalman filter. The diffusion of pollutants in a tunnel can be described with a one-dimensional diffusion and advection equation. This equation is approximated with interpolation functions and a weighted residual method converts to an adequate form for standard state estimate algorithms. With this converted equation, a least square based algorithm is developed, whose outputs are the estimated amounts of pollutants emitted from each type of vehicles. Also, a Kalman filter is utilized to more accurately estimate the pollution levels of the tunnel under the existence of model and measurement uncertainties. In order to verify the feasibility of the developed algorithms, experiments and simulations are performed. The real data is acquisitioned from the Dunnae tunnel located in Young- Dong highway in Korea. The estimated emission rates and the computer simulated concentration levels agree reasonably to the measured values.
机译：近年来建造的交通隧道配备了交通计数器和污染传感器。利用这些内置传感器，可以开发一种算法来估算从穿过隧道的各种类型车辆排放的污染物量。同样，利用这些估计的数据和传感器输出，可以使用卡尔曼滤波器来评估更准确的污染水平。污染物在隧道中的扩散可以用一维扩散和对流方程来描述。该方程用插值函数近似，并且加权残差法转换为标准状态估计算法的适当形式。利用该转换方程式，开发了一种基于最小二乘的算法，其输出是每种车辆排放的污染物的估计数量。此外，在存在模型和测量不确定性的情况下，利用卡尔曼滤波器来更准确地估计隧道的污染水平。为了验证所开发算法的可行性，进行了实验和仿真。实际数据是从位于韩国Young-dong高速公路上的Dunnae隧道获取的。估算的排放速率和计算机模拟的浓度水平与测量值合理地吻合。

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