Underground water level intelligentprediction method and system based on spatial-temporal characteristics
A groundwater level and intelligent prediction technology, applied in the direction of prediction, instrumentation, data processing applications, etc., can solve problems such as dynamics and insufficient accuracy
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no. 1 example
[0048]In view of the technical problems of lack of dynamics and accuracy in existing groundwater prediction and evaluation methods, this embodiment provides an intelligent prediction method for groundwater levels based on spatio-temporal characteristics, relying on big data and artificial intelligence technology to analyze the groundwater level in the groundwater system. Complex and non-linear change relationships are learned and a deep learning model is built to achieve efficient and accurate prediction of groundwater levels. This method can be implemented by electronic devices, such as terminals or servers. The execution flow of this method is as follows figure 1 shown, including the following steps:
[0049] S101, obtain groundwater level height information at multiple groundwater monitoring points at different locations, and construct a spatial data body and a time data body; wherein, the spatial data body is used to describe the correlation between two monitoring points a...
no. 2 example
[0084] This embodiment provides a groundwater level intelligent forecasting system based on spatiotemporal features, the structure of the groundwater level intelligent forecasting system based on spatiotemporal features is as follows Figure 9 As shown, the following modules are included:
[0085] The multi-position groundwater spatio-temporal data body construction module 21 is used to obtain groundwater level height information at multiple groundwater monitoring points in different positions, and construct a space data body and a time data body; wherein, the space data body is used to describe two different Correlation between position monitoring points; the time data body is used to describe the change of groundwater level at each monitoring point with time;
[0086] The training sample construction module 22 is used to intercept data on the time data body constructed by the multi-position groundwater spatio-temporal data body construction module 21 in a sliding window mann...
no. 3 example
[0091] This embodiment provides an electronic device, which includes a processor and a memory; at least one instruction is stored in the memory, and the instruction is loaded and executed by the processor, so as to implement the method of the first embodiment.
[0092] The electronic device may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) and one or more memories, wherein at least one instruction is stored in the memory, so The above instruction is loaded by the processor and executes the above method.
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