CN-121981403-A - Photovoltaic desertification control mode-based ecological carbon sink monitoring data processing method and system

CN121981403ACN 121981403 ACN121981403 ACN 121981403ACN-121981403-A

Abstract

The invention discloses an ecological carbon sink monitoring data processing method and system based on a photovoltaic desertification control mode, and relates to the technical field of image data processing, wherein the method comprises the steps of obtaining an original sequence of surface features; the method comprises the steps of collecting cleaning operation and maintenance records, generating a cleaning event table by time sequencing the cleaning operation and maintenance records, obtaining array layout data and a digital elevation chart, deducing coverage range according to the digital elevation chart to generate a cleaning influence region chart in a grading mode, constructing a cleaning disturbance indication sequence based on the cleaning event table, the cleaning influence region chart and an original surface feature sequence, generating a cleaning weight chart based on the cleaning influence region chart and the cleaning disturbance indication sequence, deducting cleaning disturbance components according to the cleaning weight chart to obtain a surface feature cleaning sequence, and obtaining a carbon sink increment evaluation result based on the surface feature cleaning sequence, the array layout data and the cleaning weight chart.

Inventors

LU WEI
TIAN QING
LI XIAOBO
WANG XIANG

Assignees

西安湄南生物科技股份有限公司

Dates

Publication Date: 20260505
Application Date: 20260331

Claims (10)

1. The ecological carbon sink monitoring data processing method based on the photovoltaic desertification control mode is characterized by comprising the following steps of: Correcting the acquired remote sensing image sequence, and merging the acquired remote sensing image sequence in a grid to generate an earth surface characteristic original sequence; Collecting cleaning operation records, and generating a cleaning event table by sorting the cleaning operation records according to time; acquiring array layout data and a digital elevation map, projecting the array layout data to a grid, determining micro-gradient and confluence directions according to the digital elevation map, and deducing coverage range and generating a cleaning influence area map in a grading manner; based on the cleaning event table, the cleaning influence area graph and the ground surface feature original sequence, intercepting fragments before and after cleaning, and constructing a cleaning disturbance indication sequence by the fragments before and after cleaning; Generating a cleaning weight map based on the cleaning influence area map and the cleaning disturbance indication sequence, and deducting cleaning disturbance components according to the cleaning weight map to obtain a surface characteristic cleaning sequence; And dividing the surface feature purification sequence, the array layout data and the purification weight map to obtain an array inner region and an array outer adjacent region, extracting a carbon sink feature set in the array inner region and the array outer adjacent region, inputting the carbon sink feature set into a carbon sink estimation model, outputting a carbon sink increment estimation result by the carbon sink estimation model, and summarizing the purification weight map to obtain a cleaning disturbance contribution record.
2. The method for processing the ecological carbon sink monitoring data based on the photovoltaic desertification control mode according to claim 1, wherein the method for generating the surface feature original sequence comprises the following steps: Performing radiation unification processing on the earth surface radiation information based on the observation time information of the remote sensing image sequence and the observation parameters corresponding to the earth surface radiation information to obtain an earth surface reflectivity sequence; Based on positioning information of each period of remote sensing image corresponding to the earth surface reflectivity sequence, projecting each period of remote sensing image to a unified coordinate reference, and carrying out alignment treatment on pixel positions in the boundary of a monitoring area to obtain a geometric correction image sequence; Constructing grids based on the geometric correction image sequence and acquiring a grid aggregation image sequence according to grid aggregation; and (3) extracting a ground surface reflectivity sequence, a vegetation index sequence and a ground surface temperature sequence based on the grid aggregate image sequence, and aligning and merging the grids and the observation time to obtain a ground surface characteristic original sequence.
3. The method for processing the ecological carbon sink monitoring data based on the photovoltaic desertification control mode according to claim 1, wherein the cleaning operation and maintenance record comprises a cleaning start time, a cleaning end time, a cleaning water consumption, a cleaning vehicle track and a cleaning area mark.
4. The method for processing the ecological carbon sink monitoring data based on the photovoltaic desertification control mode according to claim 3, wherein the method for generating the cleaning event table comprises the following steps: performing time consistency processing on the cleaning operation and maintenance record to obtain a time-consistent cleaning operation and maintenance record; Performing space collection on the cleaning region identification and the cleaning vehicle track based on the time-consistent cleaning operation and maintenance record, mapping the position points of the cleaning vehicle track to grids according to a unified coordinate reference, and determining a coverage grid to obtain the cleaning operation and maintenance record comprising grid association information; Merging events based on the cleaning operation and maintenance records comprising grid related information, merging the cleaning operation and maintenance records which are continuous in time and have the same cleaning area identifier into cleaning events by taking the cleaning start time and the cleaning end time as main lines, and generating a cleaning event table by taking the cleaning start time, the cleaning end time, the cleaning water consumption, the cleaning vehicle track and the cleaning area identifier; And executing time sequence processing on the cleaning event table, and recording an observation time information range covered from the cleaning start time to the cleaning end time in the cleaning event table to obtain the time sequence cleaning event table.
5. The method for processing the ecological carbon sink monitoring data based on the photovoltaic desertification control mode according to claim 4, wherein the time unification processing comprises time zone unification and cross-day processing of cleaning start time and cleaning end time, and the same rule conversion is performed on the time corresponding to the position point record of the cleaning vehicle track.
6. The method for processing the ecological carbon sink monitoring data based on the photovoltaic desertification control mode according to claim 4, wherein the method for generating the cleaning influence area map comprises the following steps: The array layout data comprises component edge lines and row-column intervals, is expressed by adopting a unified coordinate reference, and defines an array area which covers the cleaning area identification indication corresponding to the cleaning event table; The digital elevation map covers the boundary of the monitoring area, adopts unified coordinate reference expression and carries out value merging according to grids; Mapping the component edge lines to grids according to a unified coordinate reference based on the array layout data, recording grid sets through which the component edge lines pass or are adjacent to each other, and forming a component edge line projection result; Based on the digital elevation graph, extracting the elevation difference relation between each grid and the adjacent grids, obtaining the micro-gradient by combining the conversion of the grid side length, and obtaining the converging direction in the elevation descending direction to form micro-gradient and converging direction data; Based on the projection result of the component edge line, the micro gradient and the converging direction data, expanding the adjacent grids along the converging direction, determining a coverage grading threshold by combining the cleaning water consumption in the cleaning event table, and endowing coverage grades to the grids obtained by expansion to form a cleaning influence area diagram.
7. The method for processing the eco-carbon sink monitoring data based on the photovoltaic desertification control mode according to claim 6, wherein the method for constructing the cleaning disturbance indicating sequence comprises the following steps: defining an effective range of a cleaning influence area diagram based on cleaning area identifiers in a cleaning event table, and selecting grids with coverage grades to obtain a coverage grade grid set; determining time boundaries of fragments before and after cleaning based on the coverage grade grid set, cleaning start time, cleaning end time and observation time information of the surface feature original sequence; extracting a ground surface reflectivity sequence, a vegetation index sequence and a ground surface temperature sequence from a ground surface feature original sequence based on a time boundary and a coverage grade grid set to form fragments before and after cleaning; Determining a reference level before cleaning based on the fragments before and after cleaning, and calculating the sequence variation of the surface reflectivity, the sequence variation of the surface temperature and the sequence variation of the vegetation index; And aligning according to the observation time information based on the basic content of the cleaning disturbance indication sequence to obtain the cleaning disturbance indication sequence, and splicing according to time sequence.
8. The method for processing the ecological carbon sink monitoring data based on the photovoltaic desertification control mode according to claim 7, wherein the method for obtaining the surface characteristic purification sequence comprises the following steps: establishing a corresponding relation between the coverage level of the cleaning influence area graph and the observation time information of the cleaning disturbance indication sequence, and mapping according to the coverage level to obtain a basic weight interval; Determining a purification weight graph value based on a basic weight interval, a combined form, a preset time length, a disturbance duration time length and a decay speed, wherein the combined form comprises a ground surface reflectivity sequence variation in a descending direction, a ground surface temperature sequence variation in a descending direction and a vegetation index sequence variation in a fluctuation direction within the preset time length; obtaining a cleaning disturbance component based on the value of the cleaning weight map and the deviation of the original sequence of the surface features relative to the reference level before cleaning, and deducting the cleaning disturbance component from the original sequence of the surface features to obtain a cleaning sequence of the surface features; and comparing the coverage grades of adjacent grids in the cleaning influence area graph, taking the purification weight graph values of the adjacent grids at the same observation time, performing continuous transition processing, and updating the surface characteristic purification sequence according to the purification weight graph values of the continuous transition processing.
9. The method for processing the ecological carbon sink monitoring data based on the photovoltaic desertification control mode according to claim 1, wherein the method for obtaining the carbon sink increment evaluation result and the cleaning disturbance contribution record comprises the following steps: Dividing the inner grid of the boundary of the monitoring area into an inner area of the array and an outer adjacent area of the array based on the component edge line and the row-column spacing of the array layout data; Extracting an earth surface reflectivity sequence purification result, a vegetation index sequence purification result and an earth surface temperature sequence purification result in an array inner area and an array outer adjacent area based on observation time information of an earth surface characteristic purification sequence, screening observation time based on a purification weight map and a preset weight threshold value, and summarizing to obtain a carbon collection characteristic set; inputting the carbon sink feature set into a carbon sink estimation model, and outputting a carbon sink increment estimation result by the carbon sink estimation model; and positioning the observation time information range of the purification weight map based on the cleaning start time and the cleaning end time of the cleaning event table, and summarizing the purification weight map values in the inner area of the array and the outer adjacent area of the array to form a cleaning disturbance contribution record.
10. An ecological carbon sink monitoring data processing system based on a photovoltaic desertification control mode, which is used for realizing the ecological carbon sink monitoring data processing method based on the photovoltaic desertification control mode as claimed in any one of claims 1 to 9, and is characterized by comprising the following steps: the data processing module is used for correcting the acquired remote sensing image sequence and merging the acquired remote sensing image sequence into an original sequence of the earth surface characteristics in the grid; The event sequencing module is used for collecting the cleaning operation and maintenance records, and generating a cleaning event table by sequencing the cleaning operation and maintenance records according to time; The regional division module is used for acquiring array layout data and a digital elevation map, projecting the array layout data to a grid, determining a micro gradient and a confluence direction according to the digital elevation map, and deducing coverage range and generating a cleaning influence region map in a grading manner; The disturbance calculation module is used for intercepting fragments before and after cleaning based on the cleaning event table, the cleaning influence area diagram and the ground surface feature original sequence, and constructing a cleaning disturbance indication sequence by the fragments before and after cleaning; The purification calculation module is used for generating a purification weight map based on the cleaning influence area map and the cleaning disturbance indication sequence, and deducting cleaning disturbance components according to the purification weight map to obtain a surface characteristic purification sequence; And the result output module is used for dividing the surface feature purification sequence, the array layout data and the purification weight map to obtain an inner array region and an outer array adjacent region, extracting a carbon sink feature set from the inner array region and the outer array adjacent region, inputting the carbon sink feature set into a carbon sink estimation model, outputting a carbon sink increment evaluation result by the carbon sink estimation model, and summarizing the purification weight map to obtain a cleaning disturbance contribution record.

Description

Photovoltaic desertification control mode-based ecological carbon sink monitoring data processing method and system Technical Field The invention relates to the technical field of image data processing, in particular to an ecological carbon sink monitoring data processing method and system based on a photovoltaic desertification control mode. Background In the ecological carbon sink monitoring process of the photovoltaic desertification control project, in order to ensure the photovoltaic power generation efficiency, the surface of the photovoltaic module needs to be cleaned and maintained regularly, and the operation and maintenance operation is particularly frequent in the scene of the photovoltaic power station in the desertification area. One of the core monitoring targets of Sha Ou photovoltaic desertification control projects is to acquire surface time sequence characteristic data through a remote sensing technology, further evaluate the regional ecological change and carbon sink increment conditions and provide data support for carbon sink accounting and project ecological benefit evaluation. The monitoring process generally relies on continuous remote sensing time sequence data, and combines characteristic parameters such as earth surface reflectivity, vegetation index, earth surface temperature and the like to construct an association relationship between ecological change and carbon sink increment, so that a complete carbon sink monitoring data processing chain is formed. The existing photovoltaic desertification control carbon sink monitoring data processing technology is mainly based on ground surface radiation information obtained by a remote sensing sensor, and through conventional processing steps such as atmospheric correction, geometric correction, time sequence smoothing and the like, ground surface ecological characteristic parameters are extracted, and then the ecological restoration state and the carbon sink increment are inverted according to a preset association model. The technology is generally based on natural ecosystem monitoring logic, and changes of remote sensing time sequence signals are mainly attributed to natural or ecological processes such as climate fluctuation, vegetation growth, soil environment evolution and the like, so that the interference effect of special artificial operation and maintenance events of a photovoltaic power station on the remote sensing signals is not fully considered. In the process of cleaning and operating components of the photovoltaic power station in the sand area, the cleaning water can form converging water flow at the edges of the components, and local surface runoff is extremely easy to induce by combining the micro-gradient condition of the surface of the sand area, so that surface salinity is driven to migrate and spread. In addition, the short-time moist environment can also have short-term influence on the germination condition of the low vegetation in the area, so that the vegetation index has stepwise fluctuation. Because the existing carbon sink monitoring data processing chain does not take the component cleaning event as an explicit disturbance source into processing logic, the ecological state interpretation is carried out only through the change trend of remote sensing time sequence signals, and the short-time signal fluctuation caused by cleaning operation and maintenance and the signal change generated in the real ecological restoration process cannot be effectively distinguished. When the component cleaning frequency and seasonal characteristics of the sand-blast activity in the sand area show strong correlation, the false signal caused by the operation and maintenance event can show regular time sequence gain characteristics, so that the confusion difficulty of signal interpretation is further increased, and the root cause of signal change is difficult to accurately identify in the prior art. Due to the existence of the problems, the existing carbon sink monitoring data processing technology is easy to misinterpret the artifact signals such as short-time surface wetting, temporary rising of vegetation index, low surface temperature and the like caused by component cleaning into effective signals for accelerating regional ecological restoration process or increasing of carbon sink increment, and further deviation between a carbon sink evaluation result and an actual ecological condition is caused. The deviation can directly influence the accuracy of the carbon sink increment attribution of the photovoltaic desertification control project, so that the carbon sink accounting data lacks reliable technical support, and the requirements of the scenes such as carbon sink accounting, ecological benefit evaluation and the like on the authenticity and the accuracy of the data are difficult to meet. In view of the above, the present invention provides a method and a system for processing ecological carbon sink monitoring data based on