Differentiated river patrol strategy generation method and device
A generation device and differentiated technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., to achieve high scalability, improve prediction accuracy and stability
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Embodiment 1
[0045] This embodiment provides a device for generating differentiated river patrol strategies, such as figure 1 As shown, it includes a data cleaning module, a data model training module, a data visualization model, and a decision-making assistant generation module.
[0046] 1. The data cleaning module is used for data preprocessing and data cleaning, including down-sampling of river patrol problem data (also called river and lake problem data), so that the river patrol problem data and water quality monitoring data have the same data granularity, realizing data Alignment; code the water quality grade data as tag data, and divide it into three types of tags, namely five types of excellent, five types and five types of inferior; correlate the data with the ID of the river and lake as the associated field, and generate the river patrol path In the buffer zone, the drainage type data of drainage households, river patrol problem data and water quality grade data are fused to form...
Embodiment 2
[0103] Based on the same inventive concept, this embodiment provides a method for generating differentiated river patrol strategies. The decision-making rationality of river patrol resource allocation needs to be supported by a data model. As well as water service data such as drainage household data, machine learning technology is used to build a data model, complete the generation of prediction results and use it to formulate differentiated river patrol strategies, and guide the river patrol resource allocation plan and daily river patrol key tasks during the planning period. Specifically, rivers and lakes with water quality monitoring equipment are deployed to generate river and lake monitoring water quality data from the monitoring data collected by water quality monitoring points; rivers and lakes without water quality monitoring equipment deployment need to use the constructed random forest model to Predict and evaluate the water quality of rivers and lakes with water dat...
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