Urban waterlogging detection method and device
A detection method and urban technology, applied in the field of detection, can solve problems such as unpredictable waterlogging, and achieve the effects of avoiding losses, accurately predicting and positioning, and improving accuracy.
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Embodiment 1
[0028] This embodiment provides a method for detecting urban waterlogging, which can be executed by devices such as servers, and through calculation, data output and discrimination of devices such as servers, the detection of waterlogging can be realized, such as figure 1 shown, including the following steps:
[0029] Step S101, obtaining the cloud layer position and rainfall of the cloud layer over the target city.
[0030]Specifically, the target city may refer to any city. When the Bureau of Meteorology reports that heavy rainfall will occur in the target city in the future target time period, if you want to know the overall or local rainfall in the target city in the future target time period, you first need to accurately obtain the cloud cover over the target city Location. The position of the cloud layer in this embodiment may be the position of a cloud that may rain in a certain area or in the local vertical sky directly above the target city. The position of the clo...
Embodiment 2
[0087] This embodiment provides a device for detecting urban waterlogging, which can be used to implement the method for detecting urban waterlogging in Embodiment 1 above. Waterlogging detection, such as figure 2 As shown, the device includes:
[0088] Obtaining module 201, for obtaining the cloud layer position and rainfall of the cloud layer over the target city;
[0089] A prediction module 202, configured to obtain wind condition information of the target city within a future target time period according to the current wind condition forecast of the target city, the wind condition information including the wind conditions of each area of the target city;
[0090] A location module 203, configured to calculate a rainfall location according to the cloud layer location and the wind condition information;
[0091] A coefficient module 204, configured to obtain the runoff coefficient of each building area covered by the rainfall location, wherein the runoff coefficient is...
Embodiment 3
[0102] This embodiment provides a computer device, such as image 3 As shown, the computer device includes a processor 301 and a memory 302, wherein the processor 301 and the memory 302 can be connected by a bus or other methods, image 3 Take connection via bus as an example.
[0103] The processor 301 may be a central processing unit (Central Processing Unit, CPU). The processor 301 may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), graphics processors (Graphics Processing Unit, GPU), embedded neural network processors (Neural-network Processing Unit, NPU) or other Dedicated deep learning coprocessor, application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components and other chips, or a combination of the above-mentioned t...
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