A non-contact sensor remote fuel consumption monitoring analysis method for an engineering vehicle

By acquiring liquid level data through non-contact sensors, generating reference probability and stable liquid level characteristics, and using spatiotemporal consistency confidence coefficients to identify oil leakage events, the problem of inaccurate measurement and inconsistent statistics in fuel consumption monitoring of engineering vehicles is solved, and stable and accurate fuel consumption statistics are achieved.

CN122408918APending Publication Date: 2026-07-17ESD ENERGY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ESD ENERGY
Filing Date
2026-05-09
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies for monitoring fuel consumption in engineering vehicles suffer from problems such as high invasiveness of modifications, inaccurate measurements, difficulty in stabilizing data processing under complex working conditions, and inconsistent fuel consumption statistics. In particular, it is difficult to achieve accurate fuel level monitoring and fuel consumption statistics under irregular fuel tanks and complex working conditions.

Method used

Information such as liquid level, signal quality, temperature, and abnormal indicators are acquired by non-contact sensors. Reference probability and stable liquid level characteristics are generated. Spatiotemporal consistency confidence coefficients are used to screen calibration samples, identify refueling and oil leakage events, and generate fuel consumption indicators.

Benefits of technology

It achieves stability and accuracy in fuel consumption monitoring under complex operating conditions, reduces false alarm and missed alarm rates, ensures the continuity and traceability of fuel consumption statistics, and provides a unified fuel consumption statistical standard.

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Abstract

本发明公开了一种工程车辆的非接触式传感器远程油耗监控分析方法,涉及车辆运行数据分析监测领域。该方法包括:根据液位采样帧校验解析获取液位、信号质量、温度、异常标志、上报时间和位置信息;根据信号质量、温度变化和异常标志生成可参考性概率;对液位序列鲁棒估计生成稳定液位特征;结合位置离散度生成时空一致性置信系数;根据置信系数筛选标定样本并映射得到油量序列;依据油量序列和置信系数识别加油与漏油事件并记录时间窗、位置窗和油量差;扣除油量差后按预设统计口径生成油耗指标。通过构建时空一致性置信系数贯穿数据门控、鲁棒液位重建、单调映射标定与加漏油事件扣除统计,实现工程车辆远程油耗结果稳定一致可追溯。
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