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Pollution monitoring method and device based on mobile computer and neural network

A mobile computer and pollution monitoring technology, applied in biological neural network models, calculations, neural architectures, etc., can solve problems such as restricting the development of industry and agriculture, uneven temporal and spatial distribution, etc.

Active Publication Date: 2018-12-07
ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, my country is a country short of water, and the per capita water resources are only 2700m 3 , which is only 1 / 4 of the world's average per capita, and its temporal and spatial distribution is also extremely uneven. 2 / 3 of the cities have insufficient water supply, which seriously restricts the development of industry and agriculture.

Method used

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  • Pollution monitoring method and device based on mobile computer and neural network
  • Pollution monitoring method and device based on mobile computer and neural network
  • Pollution monitoring method and device based on mobile computer and neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0024] figure 1 is a flowchart of a method according to an embodiment of the present invention. As shown, the method of the present invention includes:

[0025] Step 101: monitor water pollutant information by a water pollutant monitoring station;

[0026] Step 102: the water pollutant monitoring station sends the water pollutant information to the mobile computer;

[0027] Step 103: monitoring the hydrological conditions by the hydrological condition monitoring station;

[0028] Step 104: sending the hydrological condition to the mobile computer by the hydrological condition monitoring station;

[0029] Step 105: collect aquatic animal and plant information by the aquatic animal and plant information collection station;

[0030] Step 106: the aquatic animal and plant information is sent to the mobile computer by the aquatic animal and plant information collection station;

[0031] Step 107: The mobile computer judges the pollution monitoring model that should be called b...

Embodiment 2

[0036] Among them, the water pollutant information includes: current total phosphorus, current ammonia nitrogen concentration, current pH, current dissolved oxygen, current mercury element concentration, current chromium element concentration, current cadmium element concentration, current copper element concentration, current lead element concentration and current arsenic concentration. element concentration; and wherein, the hydrological conditions include: current water flow rate, current water flow direction, current water temperature, current air temperature, and current precipitation; and wherein, aquatic animal and plant information includes: aquatic animal species, hazardous substance residues in aquatic animals, aquatic Plant species and hazardous substance residues in aquatic plants.

[0037] figure 2 is a flowchart of a method according to another embodiment of the present invention. As shown in the figure, the model call benchmark is generated through the followi...

Embodiment 3

[0045] image 3 is a flowchart of a method according to another embodiment of the present invention. As shown in the figure, based on the pollution monitoring model to be applied, the water pollutant information, hydrological conditions and the first identification, the big data processing center generates a forecast report for the water pollution status, including the following steps:

[0046] Step 301: The big data processing center extracts the historical total phosphorus, historical ammonia nitrogen concentration, historical pH, historical dissolved oxygen, historical copper element concentration, historical lead element concentration, historical arsenic element concentration, historical water flow rate, historical Water flow direction, historical water temperature, historical air temperature, historical precipitation, historical mercury concentration, historical chromium concentration, and historical cadmium element;

[0047] Step 302: The big data processing center extr...

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Abstract

The invention provides a pollution monitoring method and device based on a mobile computer and a neural network. The pollution monitoring method comprises the steps that a water pollutant monitoring station monitors water pollutant information; the water pollutant monitoring station sends the water pollutant information to the mobile computer; a hydrological condition monitoring station monitors the hydrological condition; the hydrological condition monitoring station sends the hydrological condition to the mobile computer; an aquatic animal and plant information collecting station collects aquatic animal and plant information; the aquatic animal and plant information collecting station sends the aquatic animal and plant information to the mobile computer; the mobile computer judges a pollutant monitoring model that should be called and generates first identification; the mobile computer sends the water pollutant information, the hydrological condition, the aquatic animal and plant information and the first identification to a big data processing center; the big data processing center determines a pollutant monitoring model required to be applied; and the big data processing centergenerates a prediction report in allusion to the water pollution condition and an aquatic animal and plant fishing risk report.

Description

technical field [0001] The invention relates to the field of computer applications, in particular to a pollution monitoring method and device based on a mobile computer and a neural network. Background technique [0002] A computer is a modern electronic computing machine used for high-speed computing. It can perform numerical calculations, logical calculations, and has storage and memory functions. It is a modern intelligent electronic device that can run according to the program and process massive data automatically and at high speed. Mobile computers, such as smart phones, PPCs, PDAs, etc., with the development of the Internet of Things, more and more microcomputers will appear. In order to unify the names, they are collectively referred to as mobile computers, namely MC. At present, many new electronic computers not only have high-speed computing functions, but also can simulate certain thinking activities of the human brain, that is to say, have certain intelligent fu...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/26G06N3/04
CPCG06Q10/04G06Q50/26G06N3/045
Inventor 苏虹孙占锋李萍陈嫄玲
Owner ZHENGZHOU UNIVERSITY OF LIGHT INDUSTRY
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