面向移动巡检的多源定位加权融合地点判定方法
首发时间:2026-10-22
摘要:在移动巡检中,针对定位误差及区域边界附近的地点错配问题,提出结合多源定位加权融合与边界约束的地点判定方法。首先,按定位质量和观测时间对多源位置坐标进行加权融合,来源冲突时选择质量较好的有效观测;然后,按质量状态分组进行误差估计,通过逆向地址解析获取候选地址,结合区域边界及预留距离建立边界约束,检验判定范围能否完整落入候选区域;最后,在经验错配率约束下进行阈值优化,确定输出条件。通过实验表明,按经验误差半径进行边界判定时,相较固定单源,融合方案使全部请求中的正确输出比例提高24.77个百分点,错配率为0.06%;另一组质量分组对比的增量为1.86个百分点。证明了该方法在移动巡检中含定位误差的位置观测的有效性。
关键词: 计算机应用技术 多源定位加权融合 地点判定 误差估计 边界约束 阈值优化。
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Location Determination for Mobile Inspection Using Weighted Multisource Position Fusion
Abstract:Positioning errors can cause location mismatches near region boundaries during mobile inspection. Source coordinates are fused using weights derived from reported accuracy and the time since collection; the observation with better reported quality is selected when sources conflict. Error radii are estimated by quality group, and reverse geocoding provides candidate addresses. Boundary constraints require the decision region to lie entirely within the candidate business re-gion after a boundary margin is applied. Threshold optimization determines output conditions under an empirical mismatch rate constraint. In simulations using empirical error radii for boundary checks, fusion increases the correct output share among all requests from 62.59% with a fixed source to 87.36%, with an output mismatch rate of 0.06%. Boundary decisions using quality groups increase this share from 37.60% under a fixed boundary rule to 39.46%. The method in-creases correct location output under the simulated conditions and provides quantitative criteria for location determination from uncertain observations.
Keywords: computer application technology weighted multisource position fusion location determination error estimation boundary constraints threshold optimization.
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面向移动巡检的多源定位加权融合地点判定方法
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