CN-121998157-A - Method, system and application for observing navigation city greenhouse gas source

CN121998157ACN 121998157 ACN121998157 ACN 121998157ACN-121998157-A

Abstract

The application discloses an observation method, a system and application of a navigation city greenhouse gas source, which belong to the field of environmental monitoring and are used for solving the technical problem that the existing city greenhouse gas source is lack of effective and targeted monitoring; the method comprises the steps of constructing a prediction model of the distribution of the urban greenhouse gas source of the sailing, training, carrying out the current sailing monitoring, obtaining the current sailing monitoring data, calculating by using the prediction model of the distribution of the urban greenhouse gas source of the sailing, obtaining the next urban greenhouse gas source prediction distribution, carrying out targeted sailing monitoring planning and monitoring, planning an observation route, carrying out the multiple sailing monitoring according to time sequence, obtaining accurate sailing monitoring data, fully excavating data, constructing the prediction model, training, calculating by using the model, obtaining the next prediction distribution, guiding the subsequent targeted sailing monitoring, and improving the urban greenhouse gas source monitoring efficiency and effect.

Inventors

WANG YU
SONG JUAN
TAN SHOUBIAO
DAI KAI
LIU NANA

Assignees

安徽职业技术学院
安徽炬视科技有限公司

Dates

Publication Date: 20260508
Application Date: 20251208

Claims (10)

1. A method for observing a navigation city greenhouse gas source is characterized by comprising the following steps of, Step one, acquiring the distribution information of historical urban greenhouse gas sources, and planning an observation route of the sailing urban monitoring greenhouse gas sources based on the distribution information of the historical urban greenhouse gas sources; Step two, carrying out multi-time navigation monitoring according to time sequence based on an off-axis integral cavity spectrum technology according to the planned observation route of the greenhouse gas source for the navigation city monitoring, obtaining navigation monitoring data, classifying the navigation monitoring data into a navigation city monitoring data set, and constructing a training sample set according to the navigation city monitoring data set, wherein the training sample set comprises a plurality of times of navigation monitoring data based on time step time sequence; Step three, constructing and training a sailing urban greenhouse gas source distribution prediction model, wherein the input of the sailing urban greenhouse gas source distribution prediction model is the sailing monitoring data of the previous N times, and the output is the urban greenhouse gas source prediction distribution of the times N+1; Step four, carrying out current navigation monitoring to obtain current navigation monitoring data, and calculating by using a navigation urban greenhouse gas source distribution prediction model to obtain next urban greenhouse gas source prediction distribution; And fifthly, carrying out targeted navigation monitoring planning and monitoring according to the next urban greenhouse gas source prediction distribution.
2. The method for observing a source of urban greenhouse gases for navigation according to claim 1, wherein the method for performing the monitoring of the plurality of navigation according to time sequence based on the off-axis integral cavity spectrum technique comprises, Carrying out multiple navigation monitoring along a planned observation route by a navigation monitoring unit according to a time sequence, wherein the time of two adjacent navigation monitoring is a time step; The navigation monitoring unit comprises at least one vehicle, wherein the vehicle is configured as a mobile platform, and monitoring equipment carried on the mobile platform comprises an off-axis integral cavity spectrometer, an air inlet of which is positioned at the top of the mobile platform and used for analyzing the concentration of an urban greenhouse gas source and uploading data to a cloud server, wherein the urban greenhouse gas source comprises CO 2 and CH 4 ; The high-precision vehicle-mounted base station differential GPS is positioned at the top of the mobile platform and is used for acquiring longitude and latitude and uploading data to the cloud server; The three-dimensional ultrasonic anemometer is positioned at the top of the mobile platform and is used for acquiring wind speed and wind direction data and uploading the data to the cloud server; And the operation terminal is a notebook computer and is used for capturing data from the cloud server in real time or at regular time, and judging and recording the running state of the unit on site or remotely.
3. The method for observing a source of aviation urban greenhouse gas according to claim 2, characterized in that, The method for planning the observation route of the sailing city monitoring greenhouse gas source comprises the steps of extracting the distribution information of the historical city greenhouse gas source, planning the observation route of the sailing city monitoring greenhouse gas source based on the distribution information of the historical city greenhouse gas source, The method comprises the steps of extracting distribution information of historical urban greenhouse gas sources, analyzing the distribution information of the historical urban greenhouse gas sources to obtain point sources and line sources corresponding to the urban greenhouse gas sources, wherein the positions corresponding to the point sources comprise industrial areas, gas filling stations, biochemical pools and landfill sites, the positions corresponding to the line sources comprise road circular lines, and planning observation routes for walking urban monitoring greenhouse gas sources according to the point sources and the line sources.
4. The method for observing a navigation urban greenhouse gas source according to claim 3, wherein the navigation urban greenhouse gas source distribution prediction model is a space-time fusion type deep learning model, and comprises a data preprocessing layer for carrying out standardization and structuring treatment on the previous N times of navigation monitoring data and recombining the data into a multi-dimensional time sequence space matrix according to a time step sequence; The time sequence feature extraction layer is used for capturing the time sequence dependency relationship of the previous N times of navigation monitoring data through the two-way long-short-term memory network; the spatial feature fusion layer is used for extracting and fusing spatial features by means of convolutional neural network convolutional kernel combination and an attention mechanism; The prediction output layer is used for mapping the time sequence characteristics and the space characteristics into N+1 monitored space grid characteristic matrixes through the full connection layer after splicing, converting the space grid characteristic matrixes into concentration distribution data under actual geographic coordinates through inverse normalization processing, and outputting N+1 city greenhouse gas source prediction distribution, wherein the N+1 city greenhouse gas source prediction distribution comprises space grids, corresponding concentration intervals and time periods.
5. The method for observing a greenhouse gas source in a sailing city according to claim 4, wherein the method for normalizing and structuring the first N times of sailing monitoring data includes normalizing the greenhouse gas concentration data, converting longitude and latitude into rectangular planar coordinates, performing space meshing, and decomposing the wind speed and direction into east-west and north-south components.
6. The method for observing a greenhouse gas source in a city for cruising according to claim 4, wherein the method for capturing the time-series dependency of the monitoring data of the previous N times of cruising through the two-way long-short-term memory network further comprises, the law of change in greenhouse gas concentration over time is identified from the forward and reverse time series and overfitting is suppressed by discarding the layers.
7. The method for observing a greenhouse gas source in a sailing city according to claim 4, wherein the method for extracting and fusing the spatial features by means of a convolution neural network convolution kernel combination and an attention mechanism comprises the steps of enhancing feature channel correlation through a first convolution kernel, capturing adjacent grid interaction through a second convolution kernel, and giving higher weight to the grid where a high-emission point source is located, wherein the first convolution kernel is a 1×1 convolution kernel, and the second convolution kernel is a 3×3 convolution kernel.
8. The method for observing a source of aviation urban greenhouse gas according to claim 1, characterized in that, The method for carrying out targeted navigation monitoring planning and monitoring comprises the following steps of, And extracting the positions of the key points exceeding the preset threshold and the corresponding time periods according to the next urban greenhouse gas source prediction distribution, planning and generating a key navigation monitoring scheme, and carrying out navigation monitoring on the positions of the key points exceeding the preset threshold and the corresponding time periods according to the key navigation monitoring scheme.
9. An observation system for a source of a sailing urban greenhouse gas, applying the method of any one of claims 1 to 8, characterized by comprising a sailing monitoring unit for performing mobile observations; The cloud server is used for storing the data uploaded by the navigation monitoring unit; The observation route planning module is used for planning an observation route of the sailing city monitoring greenhouse gas source based on the distribution information of the historical city greenhouse gas source; The prediction model construction and training module is used for constructing a sailing city greenhouse gas source distribution prediction model and training; And the targeted navigation monitoring planning unit is used for carrying out targeted navigation monitoring planning based on the off-axis integral cavity spectrum technology according to the next urban greenhouse gas source prediction distribution.
10. Use of an observation system based on the walk-through urban greenhouse gas source according to claim 9 for urban greenhouse gas source observation.

Description

Method, system and application for observing navigation city greenhouse gas source Technical Field The application belongs to the field of environmental monitoring, and particularly relates to a method, a system and an application for observing a navigation urban greenhouse gas source. Background With the increasing prominence of global climate change, cities have become the primary source of emissions of greenhouse gases (e.g., CO 2、CH4), and their emissions monitoring and tracing have become the core tasks for environmental remediation. Currently, urban greenhouse gas monitoring mainly depends on means such as fixed site observation, satellite remote sensing, preliminary navigation observation and the like; The satellite remote sensing can acquire large-scale distribution information, but has lower spatial resolution (usually kilometer level), is easily influenced by cloud cover and building shielding, and is difficult to capture small-scale emission sources (such as point sources of gas stations, landfill sites and the like) in the city. At present, effective and targeted monitoring of urban greenhouse gas sources is lacking. Disclosure of Invention The application aims to at least solve one of the technical problems in the prior art, and therefore, the application provides an observation method, an observation system and application of a navigation urban greenhouse gas source, which are used for solving the problem that the urban greenhouse gas source is lack of effective and targeted monitoring at present. To achieve the above object, a first aspect of the present application provides a method for observing a source of urban greenhouse gases by sailing, comprising, Step one, acquiring the distribution information of historical urban greenhouse gas sources, and planning an observation route of the sailing urban monitoring greenhouse gas sources based on the distribution information of the historical urban greenhouse gas sources; Step two, carrying out multi-time navigation monitoring according to time sequence based on an off-axis integral cavity spectrum technology according to the planned observation route of the greenhouse gas source for the navigation city monitoring, obtaining navigation monitoring data, classifying the navigation monitoring data into a navigation city monitoring data set, and constructing a training sample set according to the navigation city monitoring data set, wherein the training sample set comprises a plurality of times of navigation monitoring data based on time step time sequence; Step three, constructing and training a sailing urban greenhouse gas source distribution prediction model, wherein the input of the sailing urban greenhouse gas source distribution prediction model is the sailing monitoring data of the previous N times, and the output is the urban greenhouse gas source prediction distribution of the times N+1; Step four, carrying out current navigation monitoring to obtain current navigation monitoring data, and calculating by using a navigation urban greenhouse gas source distribution prediction model to obtain next urban greenhouse gas source prediction distribution; And fifthly, carrying out targeted navigation monitoring planning and monitoring according to the next urban greenhouse gas source prediction distribution. Another aspect of the application discloses an observation system for a walk-through city greenhouse gas source, comprising a walk-through monitoring unit for performing mobile observation; The cloud server is used for storing the data uploaded by the navigation monitoring unit; The observation route planning module is used for planning an observation route of the sailing city monitoring greenhouse gas source based on the distribution information of the historical city greenhouse gas source; The prediction model construction and training module is used for constructing a sailing city greenhouse gas source distribution prediction model and training; And the targeted navigation monitoring planning unit is used for carrying out targeted navigation monitoring planning based on the off-axis integral cavity spectrum technology according to the next urban greenhouse gas source prediction distribution. The application further discloses an application of the observation system based on the sailing urban greenhouse gas source in urban greenhouse gas source observation. Compared with the prior art, the method has the beneficial effects that the observation route of the urban navigation monitoring greenhouse gas source is planned on the basis of the distribution information of the historical urban greenhouse gas source, the targeted monitoring is convenient to quickly and accurately perform, meanwhile, the method performs multiple navigation monitoring according to time sequence based on the spectrum technology of the off-axis integral cavity to obtain accurate navigation monitoring data, fully excavates the navigation monitoring data, constructs a navigatio