Intelligent time-space data clustering method

A technology of spatio-temporal data and aggregation method, which is applied in the field of cross-combination of multiple disciplines and technologies, can solve the problems of low response sensitivity, low sensor response sensitivity, and high detection limit concentration, etc., to achieve increased specific surface area, high response sensitivity, and large specific surface area Effect

Active Publication Date: 2019-10-18
重庆财经学院
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Although the existing methods for aggregating and predicting sulfur dioxide and nitrogen dioxide data can realize the prediction of nitrogen dioxide and sulfur dioxide to a certain extent, due to the low response sensitivity of the sensor during the data collection process of sulfur dioxide and nitrogen dioxide, the detection The high lower limit concentration greatly affects the accuracy of data collection, which makes the prediction of sulfur dioxide and nitrogen dioxide inaccurate. In order to improve the sensor response sensitivity and reduce the lower limit of detection, people solve these prob...

Method used

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Embodiment 1

[0030] A method for intelligent aggregation of spatio-temporal data, the method comprising the steps of:

[0031] 1. Data collection

[0032] Data collection includes: the collection of nitrogen dioxide and sulfur dioxide concentration data, the concentration data of nitrogen dioxide and sulfur dioxide are collected through the monitoring station, the monitoring station uses gas sensors to monitor the sulfur dioxide and nitrogen dioxide in the air in real time, and the monitored two Nitrogen oxide and sulfur dioxide concentrations are imported through the application program interface in the data acquisition system, and meteorological data and traffic data are collected through the meteorological data website and the traffic bureau;

[0033] Second, model analysis

[0034]Analyze the correlation between the concentration of nitrogen dioxide and sulfur dioxide in each region, select the spatial variables of the model, analyze the impact of meteorological variables and traffic ...

Embodiment 2-5

[0041] In order to explore the performance of the core component gas-sensing materials used in the monitoring site to investigate nitrogen dioxide and sulfur dioxide gas sensors and the preparation method of the best sensor gas-sensing materials, the following examples discuss the preparation parameters of the sensor gas-sensing materials and the prepared sensor gas The properties of sensitive materials were investigated.

[0042] The preparation method of nitrogen dioxide and sulfur dioxide gas sensor gas sensitive material comprises the following steps:

[0043] S1. Cut the copper foil into a circular copper foil with a radius of 0.8cm, wash with 0.05g / mL ammonium persulfate solution to remove the oxide layer on the surface of the circular copper foil, heat and feed methane gas, and The flow rate is 15mL / min, the time for feeding methane gas is 10min, and the temperature is lowered;

[0044] S2, spin-coat ethyl cellulose on the graphene surface, dry it at room temperature, ...

Embodiment 6-9

[0055] The preparation method of nitrogen dioxide and sulfur dioxide gas sensor gas sensitive material comprises the following steps:

[0056] S1. Cut the copper foil into a circular copper foil with a radius of 0.8 cm, wash it with 0.05 g / mL ammonium persulfate solution to remove the oxide layer on the surface of the circular copper foil, and pass methane gas at a heating temperature of 960 ° C. The flow rate of methane gas is 15mL / min, and the time of feeding methane gas is 14min, and the temperature is lowered;

[0057] S2, spin-coat ethyl cellulose on the graphene surface, dry it at room temperature, put it into a ferric chloride solution with a mass concentration of 0.05g / mL for etching treatment, the etching time is 40min, fully wash with deionized water, and the graphene ethyl cellulose Cellulose-based film transferred to SiO 2 / Si sheet, dried at 90°C for 3 hours, soaked in acetone solution at 38°C for 6 hours, washed with deionized water, dried, and annealed at 330°C...

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Abstract

The invention belongs to the field of multi-disciplinary and technology cross-combination. At the first step, data collection is performed; to be specific, a monitoring station uses a gas sensor to monitor the sulfur dioxide and nitrogen dioxide in air in real time and transmits the monitored nitrogen dioxide and sulfur dioxide concentrations through an application interface in a data collection system. At the second step, data analysis is performed. At the third step, interpolation calculation is performed. And at the fourth step, online data fusion is performed; to be specific, offline prediction simulation is performed on a time-space data model by using complete data after interpolation as sample data and online prediction of the nitrogen dioxide and sulfur dioxide concentration data is realized by using a forgetting factor recursive algorithm. The gas sensitive material of the gas sensor used by the monitoring station is a double-layer graphene/graphite-phase carbon nitride/tin oxide sensor and thus the response sensitivity is high and detection limit is low, so that the precision of data collection is improved substantially and thus the real-time online prediction of sulfur dioxide and nitrogen dioxide more accurate.

Description

technical field [0001] The invention belongs to the field of cross-combination of multiple disciplines and technologies, and in particular relates to an intelligent aggregation method of spatio-temporal data. Background technique [0002] Sulfur dioxide and nitrogen dioxide are the main pollutants in the atmosphere. With the rapid development of urbanization and the continuous expansion of the scale of transportation in my country, a large amount of sulfur dioxide and nitrogen dioxide that are harmful to the environment are discharged into the atmosphere, causing serious air pollution. Not only It has brought great harm to the earth environment on which we live, and even threatened the health of human beings. It is of great practical significance to predict sulfur dioxide and nitrogen dioxide. [0003] Although the existing methods for aggregating and predicting sulfur dioxide and nitrogen dioxide data can realize the prediction of nitrogen dioxide and sulfur dioxide to a cer...

Claims

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Application Information

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IPC IPC(8): G01N27/12B82Y30/00B82Y15/00
CPCG01N27/12G01N27/127G01N27/122B82Y15/00B82Y30/00
Inventor 刘岱黄丹周猛
Owner 重庆财经学院
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