Method and device for generating differentiated river patrol strategy
A generation device, differentiated technology, applied in the direction of instrument, calculation, character and pattern recognition, etc., to achieve high scalability, improve prediction accuracy and stability
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Embodiment 1
[0045] This embodiment provides a generating device for differentiated patrol strategies, such as figure 1 As shown, including data cleaning modules, data model training modules, data visualization models, and decision-making generation modules.
[0046] First, the data cleaning module is used for data pretreatment and data cleaning, including minimalizing the patrol problem data (also called river lake problem data), so that the data granularity of the patrol problem has the same data granularity, realize data. Align; encoding the water level data as the label data, divided into three types of labels, which are excellent five types, five categories, five categories, respectively; the data is associated with the associated fields of the river lake, and the road is generated Drainage Drainage Data Data Data Fusion in Buffer Belt and Water Quality Rank Data Fusion, forming a total training set; sample filtration of data fusion results to obtain a cleaning sample set for training and...
Embodiment 2
[0103] Based on the same inventive concept, the present embodiment provides a method of generating a differentiated patrol policy. The decision-making rationality of the patrol resource allocation requires the support of the data model, according to the patrolling data of the previous observation cycle, the water quality monitoring data of the river lake And water data such as drainage household data, build data models through machine learning technology, complete the generation of forecast results and the development of differentiated patrol strategies, guiding the cruise resource allocation plan during the planning period and the daily patrol key work. Specifically, the rivers and lakes deployed by the water quality monitoring are produced by the monitoring data collected by the water quality monitoring point to monitor water quality data; the rivers and lakes deployed by the water-free monitoring equipment need to build a random forest model according to the previous observatio...
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