Environmental pollution grading method, device and equipment and storage medium

A classification method and data technology, applied in neural learning methods, design optimization/simulation, biological neural network models, etc., can solve problems such as insufficient accuracy and low pollutant detection efficiency, and achieve insufficient accuracy and detection efficiency not high effect

Active Publication Date: 2021-09-17
PINGAN INT SMART CITY TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The present invention provides a method, device, electronic equipment and computer-readable storage medium for gradi

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  • Environmental pollution grading method, device and equipment and storage medium
  • Environmental pollution grading method, device and equipment and storage medium
  • Environmental pollution grading method, device and equipment and storage medium

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Embodiment Construction

[0060] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0061] The embodiment of this application provides a method for grading environmental pollution. The subject of execution of the method for grading environmental pollution includes, but is not limited to, at least one of electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for grading environmental pollution can be executed by software or hardware installed on terminal equipment or server equipment, and the software can be a block chain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.

[0062] refer to figure 1 As shown, it is a schematic flow chart of environmental pollution classification provided...

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Abstract

The invention relates to the field of intelligent decision, and discloses an environmental pollution grading method, which comprises the following steps: iteratively adjusting an original neural network according to waveform sampling data and corresponding early warning value domain data to obtain a target neural network; collecting original concentration waveforms of various pollutants; randomly constructing a fitting concentration waveform, and establishing a target function by using the difference between the fitting concentration waveform and the original concentration waveform; optimizing the fitting concentration waveform by using a constructed iterative formula and the original concentration waveform to obtain a target concentration waveform; and performing pollution concentration grading treatment on the waveform parameters of the target concentration waveform by using the target neural network to obtain pollution grading results of the various pollutants. The invention further provides an environmental pollution grading device, equipment and a storage medium. The invention also relates to a block chain technology, and the waveform sampling data can be stored in a block chain node. According to the invention, the problems of low pollutant detection efficiency and insufficient accuracy can be solved.

Description

technical field [0001] The invention relates to the field of intelligent decision-making, in particular to an environmental pollution grading method, device, electronic equipment and computer-readable storage medium. Background technique [0002] Due to insufficient anticipation and poor prevention of the negative impact of highly developed industries, people have led to three global crises: resource shortage, environmental pollution, and ecological destruction. Among them, environmental pollution refers to natural or man-made destruction, adding certain substances to the environment and exceeding the self-purification ability of the environment to cause harm. Environmental pollution may include, for example, river pollution and the like. [0003] At present, the pollution prevention and control measures for rivers are mainly to sample the pollutants flowing into the river from the sewage outlet. At present, the sampling data of sewage outlets mainly use the peak value and...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06N3/04G06N3/08G06Q50/26
CPCG06F30/27G06N3/082G06Q50/26G06N3/048
Inventor 刘荣荣郭秋萍
Owner PINGAN INT SMART CITY TECH CO LTD
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