| 多传感器融合下道路交通车辆碳排放量实时监测方法 |
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| 引用本文：朱云波，马聪，王晋，付心，丁怡然.多传感器融合下道路交通车辆碳排放量实时监测方法[J].计算技术与自动化,2024,(1):66-71 |
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| 中文摘要:面对日趋复杂的道路交通情况，在车辆碳排放量监测时，容易受到干扰因素影响，导致监测结果不精准，提出了多传感器融合下道路交通车辆碳排放量实时监测方法。使用多传感器阵列采集车辆碳排放量信息，利用卡尔曼滤波法计算采集信息各个样本与融合中心欧式距离，以该距离为半径画圆，将全部采集的车辆碳排放量信息融入其中。使用多传感器融合技术的卡尔曼滤波法构建监测点滤波处理模型，结合多传感器融合框架感知多维数据，剔除噪声后监测点预测值。根据线性微分方程累减白化方程时间，构建基于多传感器融合技术的监测模型。根据多传感器双层融合过程，实现车辆碳排放量的实时监测。由实验结果可知，该方法监测结果与实际统计数据存在最大为0.05 Mt的误差，监测所需最短时间为0.1 s，为交通车辆绿色通行提供技术支持。 |
| 中文关键词:多传感器融合 道路交通 碳排放量 实时监测 |
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| Real Time Monitoring Method for Carbon Emissions of Road Traffic Vehicles Based on Multi-sensor Fusion |
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| Abstract:Faced with the increasingly complex road traffic situation, when monitoring the carbon emissions of vehicles, it is easy to be affected by confounding, resulting in inaccurate monitoring results, a real-time monitoring method for carbon emissions of road traffic vehicles under multi-sensor fusion is proposed. The multi-sensor array is used to collect the vehicle carbon emission information, and the Kalman filter method is used to calculate the European distance between each sample of the collected information and the fusion center. The distance is used as the radius to draw a circle to fuse all the collected vehicle carbon emission information. The Kalman filter filtering method of multi-sensor fusion technology is used to build the monitoring point filtering processing model, and the multi-sensor fusion framework is used to sense multidimensional data, and the predicted values of monitoring points after removing the noise. According to the linear differential equation to accumulate the whitening equation time, a monitoring model based on multi-sensor fusion technology is constructed. Based on the dual layer fusion process of multiple sensors, real-time monitoring of vehicle carbon emissions is achieved. According to the experimental results, there is a maximum error of 0.05 Mt between the monitoring results of this method and the actual statistical data, and the minimum monitoring time is 0.1 s, providing technical support for green traffic for vehicles. |
| keywords:multi-sensor fusion road traffic carbon emissions real time monitoring |
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