Abstract:：In response to the problems such as the difficulty in obtaining real-time tide levels during dredging projects, low timeliness in processing depth measurement data, inability to directly transmit and use depth measurement results with the dredging system, and the impact on the timeliness of guidance for dredging construction, theoretical research, model verification, and field testing methods are adopted to conduct studies on real-time tide level reception and processing based on the Beidou cloud tide level, automatic filtering of multi-source depth measurement data, automatic quality inspection, and self-organizing network multi-link communication.Thus, the efficient and automatic processing technology for depth measurement in dredging engineering is proposed.The results of multiple project measurements show that the accuracy of the automated processing results of depth measurement data is comparable to that of manual processing, and the efficiency of automatic processing has been greatly improved.The processing of single-beam depth measurement data for a day's fieldwork can be completed within 5 min, with an efficiency improvement of 94%, and the processing of multi-beam depth measurement data can be completed within 60 min, with an efficiency improvement of 87%.The development of real-time quality control and processing of depth measurement data, real-time generation of depth measurement results, and real-time transmission between the depth measurement results and the dredging control system of the dredger has enabled the immediate acquisition of underwater topography during the dredging process, providing technical support for improving the efficiency and intelligence level of dredging construction.
