Water pollution prediction method and device and electronic device

A prediction method and water pollution technology, applied in the field of data processing, can solve the problem of not considering the impact, and achieve the effect of improving the accuracy

Active Publication Date: 2019-06-14
PING AN TECH (SHENZHEN) CO LTD
View PDF3 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods can only predict the water pollution of the water flow to be detected, and do

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Water pollution prediction method and device and electronic device
  • Water pollution prediction method and device and electronic device
  • Water pollution prediction method and device and electronic device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] The embodiment of the present application provides a water pollution prediction method, such as figure 1 As shown, the method includes: step S101 to step S105.

[0059] Step S101. Obtain the data to be measured at the first station and the data to be measured at at least one second station within a predetermined area corresponding to the first station. The data to be measured include time-series data of water quality and time-series information of hydrology.

[0060] In the embodiment of the present application, the time-series data of water quality is used to represent the water quality status of the current water area. In practical application, different values ​​can be set for the water quality data, and different levels can be set for different value intervals. For example, if the value corresponding to the PH of the water quality is 10, the corresponding level is VI level and cannot be drunk.

[0061] In the embodiment of the present application, the hydrological ...

Embodiment 2

[0095] The embodiment of the present application provides a water pollution prediction device, such as image 3 As shown, the water pollution prediction device 30 may include: a data acquisition module 301, an impact determination module 302, a predicted value acquisition module 303, and a prediction processing module 304, wherein,

[0096] The data acquisition module 301 is used to acquire the data to be measured of the first site and the data to be measured of at least one second site in the predetermined area corresponding to the first site, the data to be measured includes water quality time-series data and hydrological time-series information;

[0097] The impact determination module 302 is configured to input the data to be tested obtained from the first site into the preset first convolutional neural network model for feature extraction, and use the attention mechanism attention of the first convolutional neural network model for processing, to obtain The first impact p...

Embodiment 3

[0114] The embodiment of the present application provides an electronic device, such as Figure 5 as shown, Figure 5 The electronic device 400 shown includes: a processor 4001 and a memory 4003 . Wherein, the processor 4001 is connected to the memory 4003 , such as through a bus 4002 . Further, the electronic device 400 may further include a transceiver 4004 . It should be noted that, in practical applications, the transceiver 4004 is not limited to one, and the structure of the electronic device 400 does not limit the embodiment of the present application.

[0115] The processor 4001 may be a CPU, a general purpose processor, DSP, ASIC, FPGA or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It can implement or execute the various illustrative logical blocks, modules and circuits described in connection with the present disclosure. The processor 4001 may also be a combination that implements computing functions,...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The embodiment of the invention provides a water pollution prediction method and device and an electronic device. The method comprises the steps of obtaining to-be-tested data of a first station and to-be-tested data of at least one second station in a predetermined area corresponding to the first station; obtaining a first influence parameter and a second influence parameter by using an attentionmechanism of a first convolutional neural network model; obtaining a prediction result aiming at the water quality data of the first station, wherein the prediction result is a change trend of the water quality data of the first station in a future predetermined time period; and processing the first influence parameter, the second influence parameter and the prediction result by using a preset second convolutional neural network model to obtain an adjusted prediction result. According to the embodiment of the invention, the problem of low prediction result accuracy caused by the fact that theinfluence of other water flow information near the tested point is not considered in the prior art is solved.

Description

technical field [0001] The present application relates to the technical field of data processing, and in particular, the present application relates to a water pollution prediction method, device and electronic equipment. Background technique [0002] With the continuous development of my country's economy, the pollution of water bodies caused by some inappropriate human activities is also increasing. In recent years, water pollution incidents have occurred frequently in our country, and the protection of water resources has become urgent. Therefore, water pollution forecasting is a basic task for water environment management planning and water pollution prevention and control. [0003] According to the different mechanisms of various water pollution prediction methods, they can be roughly divided into statistical prediction methods, intelligent prediction methods and mechanism model prediction methods. With the continuous in-depth study of forecasting methods, in recent y...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q10/04G06N3/04
CPCY02A20/152
Inventor 陈曦李薿豆泽阳庄伯金王少军
Owner PING AN TECH (SHENZHEN) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap