CN-122020610-A - Method, system and device for on-line sensing and space-time fusion of cadmium-arsenic pollution associated data of space-earth integrated region production area

CN122020610ACN 122020610 ACN122020610 ACN 122020610ACN-122020610-A

Abstract

The invention provides an on-line sensing and space-time fusion method, system and device for cadmium-arsenic pollution related data of an aerospace-earth integrated region production area, and belongs to the technical field of agricultural environment monitoring. The method comprises the steps of arranging at least one ground on-line monitoring device in a monitoring area, integrating a plurality of environment sensors, collecting multi-parameter environment data through the ground on-line monitoring device, uploading the multi-parameter environment data to an on-line monitoring and analyzing platform, obtaining space-based remote sensing data of the monitoring area, extracting remote sensing characteristics, processing the multi-parameter environment data and the remote sensing characteristics to form a time sequence alignment data set in the platform to construct cadmium-arsenic pollution related characteristics, and carrying out space-time fusion processing on the related characteristics and the remote sensing characteristics to realize space expansion from monitoring points to area dimensions and output. The invention realizes the on-line sensing of the multiparameter environment, the representation of the cadmium-arsenic pollution risk and the space-space integration of the regional scale space expression, thereby realizing the continuous, systematic and engineering monitoring of the cadmium-arsenic pollution risk of the producing area.

Inventors

PAN SHUFANG
JI XIONGHUI
Xie yunhe
XUE TAO
FU HONGYU
LIU SAIHUA
TIAN FAXIANG
GUAN DI

Assignees

湖南省耕地与农业环境生态研究所

Dates

Publication Date: 20260512
Application Date: 20260410

Claims (10)

1. An on-line sensing and space-time fusion method for cadmium-arsenic pollution associated data of an aerospace-earth integrated region production area is characterized by comprising the following steps of: Step S1, at least one ground on-line monitoring device is arranged in a monitoring area, and a plurality of environment sensors are integrated in the device and are used for continuously collecting environment parameters related to cadmium-arsenic pollution; S2, acquiring multi-parameter environmental data including soil temperature, soil humidity, soil conductivity, soil pH, dissolved oxygen, iron ion concentration, manganese ion concentration and meteorological parameters through the ground on-line monitoring device; step S3, uploading the multi-parameter environment data to an online monitoring and analyzing platform; S4, acquiring space-based remote sensing data of a monitoring area, and extracting remote sensing characteristics; s5, performing time alignment processing on the multi-parameter environmental data and the remote sensing features in a platform to form a time sequence alignment data set; Step S6, based on the time sequence alignment data set, constructing cadmium-arsenic pollution associated features, wherein the associated features are obtained by calculating statistical features of multi-parameter environment data in a time window; S7, carrying out space-time fusion treatment on the correlation characteristic and the remote sensing characteristic, introducing a cadmium arsenic pollution weight coefficient, determining the weight coefficient according to the correlation degree of each parameter and cadmium arsenic pollution, wherein the sum of weights of dissolved oxygen, soil pH and iron ion concentration is not lower than 0.6, adopting a dynamic time window in the space-time fusion treatment, shortening the time window to 6-12 hours when the rainfall in a monitoring area exceeds 5mm/24h, setting the time window to 24 hours when the rainfall is lower than 5mm/24h, realizing the spatial expansion from the monitoring point to the area scale, and generating the cadmium arsenic pollution risk expression data of the area scale; And S8, outputting the cadmium-arsenic pollution risk expression data.
2. The method according to claim 1, wherein in the step S1, the environmental sensor includes at least a soil temperature sensor, a soil humidity sensor, a soil conductivity sensor, a soil pH sensor, a dissolved oxygen sensor, an iron ion concentration sensor, a manganese ion concentration sensor, a weather sensor.
3. The method according to claim 1, wherein the step S5 specifically includes assigning uniform time identification and spatial coordinate reference to all the ground on-line sensing data and the acquired space-based remote sensing data of the monitored area, and aligning the multi-source data under the uniform space-time grid framework through time aggregation.
4. The method according to claim 3, wherein in the step S6, the statistical features include at least one of a minimum value, a maximum value, an average value, a median and a standard deviation, and the construction of the cadmium-arsenic pollution correlation feature is specifically to perform feature extraction on data by using a preset time window under a unified space-time grid frame, calculate the statistical features of each correlation feature factor according to the set time window for each monitoring point, and combine the statistical features into the correlation feature vector representing the potential risk of cadmium-arsenic pollution for the point in the period.
5. The method according to claim 4, wherein the step S7 is specifically to use space continuous information provided by space-based remote sensing data to establish a space correlation model between a ground monitoring point location correlation feature vector and remote sensing features, deduce risk features of the point location to each space unit of the whole monitoring area, and generate a cadmium-arsenic pollution risk space distribution map of an area scale, wherein in the correlation feature vector, the weight of a time duty ratio of dissolved oxygen below 2.0mg/L is higher than that of other statistical features, and the weight value is 0.2-0.3.
6. The method of claim 5, wherein the spatial correlation model is a geo-weighted regression model.
7. An on-line sensing and space-time fusion system for cadmium-arsenic pollution associated data of an aerospace integrated region production place, which is characterized by comprising the following components: the ground on-line monitoring device is arranged in the monitoring area and is used for continuously collecting multi-parameter environment data; The space-based remote sensing data acquisition unit is used for acquiring remote sensing data of the monitoring area and extracting remote sensing characteristics; And the online monitoring and analyzing platform is used for receiving the multi-parameter environmental data and the remote sensing features, executing time sequence alignment, associated feature construction and space-time fusion processing, and outputting cadmium-arsenic pollution risk expression data of a region scale.
8. The system of claim 7, wherein the online monitoring and analysis platform comprises: the data receiving and storing module is used for receiving the data from the ground on-line monitoring upright rod and the space-based remote sensing data acquisition unit and storing the data according to the point position number and the time stamp; the data preprocessing module is used for carrying out integrity check, anomaly marking, unit unification and time alignment on the received data and providing standardized input data for subsequent analysis; The cadmium-arsenic pollution correlation analysis module is used for carrying out time window segmentation and statistical feature calculation on the multi-parameter environmental data to generate cadmium-arsenic pollution correlation feature data; The space-time fusion processing module is used for performing space mapping on the cadmium-arsenic pollution related characteristics of the point position level and the space-based remote sensing data to realize space expansion from point to field and from field to region; And the result output module is used for outputting pollution risk level, spatial distribution result and time variation trend.
9. The utility model provides a ground on-line monitoring device for realize the ground on-line monitoring in space-time integration method and the online perception of space-time integration method of space-earth integrated regional production place cadmium arsenic pollution associated data, which is characterized in that includes: A pole body; The environment sensors are integrated on the upright rod body and are used for collecting environment parameters related to cadmium and arsenic pollution; the communication module is used for uploading the acquired data to the remote platform; the control module is used for controlling the sampling and data uploading of the environment sensor, and the environment sensor is connected with the communication module and the control module through a waterproof interface; And the power supply module is respectively and electrically connected with the communication module, the control module and the sensors to supply power for the device.
10. The on-line ground monitoring device according to claim 9, wherein the environmental sensor comprises a soil sensor group and a weather sensor group, the soil sensor group is arranged at the lower part of the upright body, the soil sensor group comprises at least one of a soil temperature sensor, a soil humidity sensor, a soil conductivity sensor, a soil pH sensor, a dissolved oxygen sensor, an iron ion concentration sensor and a manganese ion concentration sensor, the weather sensor group is arranged at the top or the top support arm position of the upright body, and the weather sensor group comprises an air temperature sensor, an air humidity sensor, an air speed sensor, a wind direction sensor, a rainfall sensor, an air pressure sensor and an illumination intensity sensor.

Description

Method, system and device for on-line sensing and space-time fusion of cadmium-arsenic pollution associated data of space-earth integrated region production area Technical Field The invention relates to the technical field of agricultural environment monitoring, in particular to an on-line sensing and space-time fusion method, system and device for cadmium-arsenic pollution associated data of an air-space-ground integrated area production area. Background Cadmium and arsenic are common heavy metal pollutants in farmland soil, and particularly in paddy field ecosystems such as paddy fields, migration and transformation of the heavy metal pollutants are closely related to environmental conditions. In the prior art, manual sampling detection has poor instantaneity, continuous and on-line perception of the environment state of a production area (particularly a dynamic process closely related to cadmium and arsenic activation) cannot be realized, single-parameter on-line monitoring cannot comprehensively reflect pollution risks, systematic synchronous monitoring of key association factors such as soil pH, dissolved Oxygen (DO), oxidation-reduction potential (ORP), iron ions (Fe 2 +), manganese ions (Mn 2 +) and the like cannot be supported, comprehensive characterization of complex environment mechanisms of cadmium and arsenic migration and conversion cannot be supported, remote sensing inversion lacks ground data support, a multi-source data platform lacks a targeted association analysis model, lacks a uniform time reference and a uniform space reference, collaborative analysis and fusion cannot be performed, joint judgment and dynamic evaluation of pollution risks cannot be formed, limited ground monitoring point data can reflect discrete point information only, and a result of purely dependent remote sensing inversion lacks ground real data verification and driving, and a high-reliability and continuous distribution of regional scale pollution risk spatial distribution map cannot be formed. Vertical rod main body from top to bottom Therefore, there is an urgent need for a method that can realize continuous, multidimensional, and localized monitoring of cadmium-arsenic pollution-related data. Disclosure of Invention The invention provides an on-line sensing and space-time fusion method, system and device for cadmium-arsenic pollution related data of an aerospace-earth integrated region production area, and aims to solve the problems of discontinuous monitoring, single parameter, isolated data, limited space coverage and the like in the prior art. In order to achieve the purpose, one of the technical solutions of the invention is that an on-line sensing and space-time fusion method for cadmium-arsenic pollution related data of an air-space-ground integrated area production area comprises the following steps: Step S1, at least one ground on-line monitoring device is arranged in a monitoring area, and a plurality of environment sensors are integrated in the device and are used for continuously collecting environment parameters related to cadmium-arsenic pollution; S2, acquiring multi-parameter environmental data including soil temperature, soil humidity, soil conductivity, soil pH, dissolved oxygen, iron ion concentration, manganese ion concentration and meteorological parameters through the ground on-line monitoring device; step S3, uploading the multi-parameter environment data to an online monitoring and analyzing platform; S4, acquiring space-based remote sensing data of a monitoring area, and extracting remote sensing characteristics; s5, performing time alignment processing on the multi-parameter environmental data and the remote sensing features in the platform to form a time sequence alignment data set; step 6, based on the time sequence alignment data set, constructing cadmium-arsenic pollution associated features, wherein the associated features are obtained by carrying out statistical feature extraction on multi-parameter environment data in a time window; S7, carrying out space-time fusion treatment on the correlation characteristic and the remote sensing characteristic, introducing a cadmium arsenic pollution weight coefficient in the space-time fusion treatment, determining the weight coefficient according to the correlation degree of each parameter and cadmium arsenic pollution, wherein the sum of weights of dissolved oxygen, soil pH and iron ion concentration is not lower than 0.6, adopting a dynamic time window, shortening the time window to 6-12 hours when the rainfall in a monitoring area exceeds 5mm/24h, setting the time window to 24 hours when the rainfall is lower than 5mm/24h, realizing the space expansion from the monitoring point to the area scale, and generating the cadmium arsenic pollution risk expression data of the area scale; And S8, outputting the cadmium-arsenic pollution risk expression data. Further, the environmental sensor at least comprises a plurality of soil temperature sen