A train fusion positioning method based on multi-dimensional data relates to the technical field of high-speed railway detection, and comprises the following steps: acquiring basic data formed according to manually input line data and multi-dimensional data for positioning a rod; after a trigger signal is received, corresponding expected rods are generated for all dimensions in the multi-dimensional data, and corresponding original weights are distributed to all the expected rods; according to the result of each expected rod, adding the original weights corresponding to the expected rods with the same result to obtain a comprehensive weight; calibrating each expected rod as a fine positioning rod or an initial positioning rod according to whether the comprehensive weight exceeds a threshold value or not; the basic data and the fine positioning rods are adopted to obtain actual line rods, and the initial positioning rods are matched according to the actual line rods; correcting the initial positioning rod into a successfully matched actual line rod, and generating one-rod one-gear data in combination with the fine positioning rod; the problem of low train positioning precision can be solved.
一种基于多维数据的列车融合定位方法,涉及高速铁路检测技术领域,包括获取根据人工录入的线路数据形成的基础数据,以及用于对杆进行定位的多维度数据;接收触发信号后,针对多维度数据中的各个维度,分别生成相应的预期杆,且各预期杆均分配有相应的原始权重;根据各预期杆的结果,将相同结果预期杆对应的原始权重相加,得到综合权重;根据综合权重是否超过阈值,将各预期杆标定为精定位杆或初定位杆;采用基础数据和精定位杆,获得线路实际杆,根据线路实际杆对初定位杆进行匹配;将初定位杆校正为匹配成功的线路实际杆,结合精定位杆生成一杆一档数据;其能够解决列车定位精度低的问题。
Train fusion positioning method based on multi-dimensional data
一种基于多维数据的列车融合定位方法
04.03.2025
Patent
Elektronische Ressource
Chinesisch
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