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Roadbed compaction monitoring and adjusting method and system
The invention relates to the technical field of roadbed compaction monitoring and adjusting, in particular to a roadbed compaction monitoring and adjusting method and system.The roadbed compaction monitoring and adjusting method comprises the following steps that on the basis of the electromagnetic wave transmission principle, a time domain reflection method or a frequency domain dielectric measurement method is adopted, and the propagation speed and attenuation characteristic difference of electromagnetic waves in a different-density medium is analyzed; non-destructive detection of the soil compactness is carried out, detection data are transmitted to a control center in real time through a wireless sensor network technology, and a soil compactness detection value is generated. According to the method, the compaction degree grade and the potential non-uniform area of the roadbed are accurately identified by combining an electromagnetic wave transmission principle with a time domain reflection method or a frequency domain dielectric measurement method, combining a soil mechanical model and an advanced algorithm such as a neural network and a support vector machine, and a fuzzy logic control algorithm and a self-adaptive control technology are adopted to accurately identify the compaction degree grade and the potential non-uniform area of the roadbed. The compaction strategy is optimized, the compaction path, the number of times and the interval are adjusted through the genetic algorithm, cooperative control is achieved, and the efficiency and the quality of compaction operation are greatly improved.
本发明涉及路基压实监测调整技术领域,具体为路基压实监测与调整方法及系统,包括以下步骤,基于电磁波透射原理,采用时域反射法或频域介电测量法,分析电磁波在差异密度介质中的传播速度和衰减特性差异,进行土壤密实度的非破坏性检测,通过无线传感网络技术实时传输检测数据到控制中心,生成土壤密实度检测值。本发明中,通过采用电磁波透射原理结合时域反射法或频域介电测量法,结合土壤力学模型和先进的算法如神经网络与支持向量机,准确识别路基的压实度等级和潜在的不均匀区域,采用模糊逻辑控制算法和自适应控制技术,优化压实策略,通过遗传算法对压实路径、次数和间隔的调整,实现协同控制,大幅提升了压实作业的效率和质量。
Roadbed compaction monitoring and adjusting method and system
The invention relates to the technical field of roadbed compaction monitoring and adjusting, in particular to a roadbed compaction monitoring and adjusting method and system.The roadbed compaction monitoring and adjusting method comprises the following steps that on the basis of the electromagnetic wave transmission principle, a time domain reflection method or a frequency domain dielectric measurement method is adopted, and the propagation speed and attenuation characteristic difference of electromagnetic waves in a different-density medium is analyzed; non-destructive detection of the soil compactness is carried out, detection data are transmitted to a control center in real time through a wireless sensor network technology, and a soil compactness detection value is generated. According to the method, the compaction degree grade and the potential non-uniform area of the roadbed are accurately identified by combining an electromagnetic wave transmission principle with a time domain reflection method or a frequency domain dielectric measurement method, combining a soil mechanical model and an advanced algorithm such as a neural network and a support vector machine, and a fuzzy logic control algorithm and a self-adaptive control technology are adopted to accurately identify the compaction degree grade and the potential non-uniform area of the roadbed. The compaction strategy is optimized, the compaction path, the number of times and the interval are adjusted through the genetic algorithm, cooperative control is achieved, and the efficiency and the quality of compaction operation are greatly improved.
本发明涉及路基压实监测调整技术领域,具体为路基压实监测与调整方法及系统,包括以下步骤,基于电磁波透射原理,采用时域反射法或频域介电测量法,分析电磁波在差异密度介质中的传播速度和衰减特性差异,进行土壤密实度的非破坏性检测,通过无线传感网络技术实时传输检测数据到控制中心,生成土壤密实度检测值。本发明中,通过采用电磁波透射原理结合时域反射法或频域介电测量法,结合土壤力学模型和先进的算法如神经网络与支持向量机,准确识别路基的压实度等级和潜在的不均匀区域,采用模糊逻辑控制算法和自适应控制技术,优化压实策略,通过遗传算法对压实路径、次数和间隔的调整,实现协同控制,大幅提升了压实作业的效率和质量。
Roadbed compaction monitoring and adjusting method and system
路基压实监测与调整方法及系统
ZHAO XIONG (Autor:in) / REN HAIJIE (Autor:in) / XUE DEPING (Autor:in) / WANG SHAORAN (Autor:in) / HIGASHI RYO (Autor:in) / WANG ZHAOYU (Autor:in) / LU ZHIFENG (Autor:in) / ZHANG BAOLONG (Autor:in) / LI JINYANG (Autor:in) / XUE DONGQI (Autor:in)
16.04.2024
Patent
Elektronische Ressource
Chinesisch
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