A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The invention relates to the technical field of artificial intelligence, in particular to a drainage project pipeline blockage early warning system. The data acquisition unit is used for acquiring the water flow, residue weight and unblocked rate of a pipeline at each moment and the water level height in a well to form a feature vector at the moment; the data processing unit is used for acquiring a clustering distance for clustering the feature vectors into a plurality of pipeline blockage degrees according to a vector sequence formed by the feature vectors at each moment in a historical time period; and the blockage early warning unit is used for acquiring the real-time vector sequence in a time period, obtaining the pipeline blockage degree to which the real-time vector sequence belongs by utilizing the clustering distance, and carrying out analysis and early warning according to the pipeline blockage degree. The blockage condition of real-time pipeline data is analyzed according to the blockage condition of historical data, and early warning analysis of different blockage degrees is performed according to the blockage condition, so that the situation that an analysis error of the blockage condition affects an early warning result is avoided.
本发明涉及人工智能技术领域，具体涉及一种排水工程管道堵塞预警系统。该系统包括数据采集单元：获取每个时刻管道的水流量、残留物重量、畅通率以及井内的水位高度以构成该时刻的特征向量；数据处理单元：根据历史时间段由每个时刻的特征向量所组成的向量序列获取将其聚为多种管道堵塞程度的聚类距离；堵塞预警单元：获取一个时间段内的实时向量序列，利用聚类距离得到实时向量序列所属的管道堵塞程度，根据管道堵塞程度进行分析预警。通过历史数据的堵塞情况以分析实时管道数据的堵塞情况，根据堵塞情况进行不同堵塞程度的预警分析，以避免堵塞情况的分析错误，影响预警结果。
The invention relates to the technical field of artificial intelligence, in particular to a drainage project pipeline blockage early warning system. The data acquisition unit is used for acquiring the water flow, residue weight and unblocked rate of a pipeline at each moment and the water level height in a well to form a feature vector at the moment; the data processing unit is used for acquiring a clustering distance for clustering the feature vectors into a plurality of pipeline blockage degrees according to a vector sequence formed by the feature vectors at each moment in a historical time period; and the blockage early warning unit is used for acquiring the real-time vector sequence in a time period, obtaining the pipeline blockage degree to which the real-time vector sequence belongs by utilizing the clustering distance, and carrying out analysis and early warning according to the pipeline blockage degree. The blockage condition of real-time pipeline data is analyzed according to the blockage condition of historical data, and early warning analysis of different blockage degrees is performed according to the blockage condition, so that the situation that an analysis error of the blockage condition affects an early warning result is avoided.
本发明涉及人工智能技术领域，具体涉及一种排水工程管道堵塞预警系统。该系统包括数据采集单元：获取每个时刻管道的水流量、残留物重量、畅通率以及井内的水位高度以构成该时刻的特征向量；数据处理单元：根据历史时间段由每个时刻的特征向量所组成的向量序列获取将其聚为多种管道堵塞程度的聚类距离；堵塞预警单元：获取一个时间段内的实时向量序列，利用聚类距离得到实时向量序列所属的管道堵塞程度，根据管道堵塞程度进行分析预警。通过历史数据的堵塞情况以分析实时管道数据的堵塞情况，根据堵塞情况进行不同堵塞程度的预警分析，以避免堵塞情况的分析错误，影响预警结果。
Drainage project pipeline blockage early warning system
排水工程管道堵塞预警系统
HAN LONG (author)
2022-04-15
Patent
Electronic Resource
Chinese
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