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CN-122022139-A - Forestry carbon sink reserves dynamic monitoring and transaction data management system and method

CN122022139ACN 122022139 ACN122022139 ACN 122022139ACN-122022139-A

Abstract

The invention discloses a forestry carbon sink reserves dynamic monitoring and transaction data management system and method, and relates to the technical field of carbon sink monitoring and optimization. The system comprises a dynamic monitoring module, a data fusion processing module, a blockchain transaction data management module and a carbon sink counteracting accounting module. According to the invention, satellite remote sensing, unmanned plane laser scanning and ground sensing multisource monitoring data are integrated, a carbon sink storage time sequence is generated through calibration fusion, the conversion of static rights to dynamic management is realized through feature extraction, a dynamic carbon sink offset accounting system based on real-time features and historical data is constructed, reliability of forestry carbon sink storage dynamic monitoring and transaction data management is improved, and the problem that reliability of forestry carbon sink storage dynamic monitoring and transaction data management is low due to insufficient carbon sink long-term dynamic property and carbon fixation stability assessment in the prior art is solved.

Inventors

  • ZHAO WEIHONG

Assignees

  • 平湖市园林管理服务中心

Dates

Publication Date
20260512
Application Date
20260119

Claims (10)

  1. 1. The forestry carbon sink reserves dynamic monitoring and transaction data management system is characterized by comprising a dynamic monitoring module, a data fusion processing module, a blockchain transaction data management module and a carbon sink counteracting accounting module: The dynamic monitoring module is used for collecting multi-source monitoring data of forestry carbon sink reserves, and the multi-source monitoring data comprise a satellite remote sensing monitoring unit, an unmanned aerial vehicle laser scanning unit and a ground sensing monitoring unit; the data fusion processing module is used for preprocessing, calibrating and fusing the multi-source monitoring data to generate accurate forestry carbon sink reserves time series data, and comprises a multi-source data calibration unit and a fusion calculation unit; The blockchain transaction data management module is used for additionally arranging a time sequence feature extraction interface to capture core features of the carbon sink reserves time sequence data in real time according to the forestry carbon sink reserves time sequence data so as to realize the transition of carbon sink assets from initially registered static ownership management to full-period dynamic management; The carbon sink counteracting accounting module is used for accounting the actual net carbon sink in a preset history monitoring period according to the real-time carbon sink dynamic characteristics acquired from the time sequence characteristic extraction interface and combining forestry carbon sink time sequence data output by the data fusion processing module to construct a dynamic carbon sink counteracting accounting system.
  2. 2. The system for dynamically monitoring and managing data of forestry carbon reserves according to claim 1, wherein the satellite remote sensing monitoring unit acquires periodic optical images with medium and low spatial resolutions and synthetic aperture radar data covering a target forest area; The unmanned aerial vehicle laser scanning unit is used for acquiring three-dimensional point cloud data with high spatial resolution and hyperspectral images according to a predefined trigger instruction; the ground sensing monitoring unit comprises tree growth sensors, soil carbon flux sensors and environment sensors which are deployed in different areas of a target forest zone and is used for collecting soil carbon release/absorption flux data, forest temperature, humidity and illumination parameters in real time.
  3. 3. A forestry carbon sink dynamic monitoring and transaction data management system according to claim 1, wherein the multisource data calibration unit is configured to calibrate the preprocessed multisource monitoring data and unify the same space-time reference, and the specific steps are: Dynamically adjusting the residual absolute value corrected by the ground fixed control points based on the actual layout quantity of the ground fixed control points, and presetting a ground fixed control point quantity gradient interval and a corresponding satellite remote sensing data correction error threshold value gradient, wherein the ground fixed control point quantity gradient interval comprises a preset first interval, a preset second interval and a preset third interval, and the corresponding satellite remote sensing data correction error threshold value gradient comprises a preset first threshold value, a preset second threshold value and a preset third threshold value; Acquiring the actual layout quantity of the ground fixed control points in real time, judging the gradient intervals of the quantity of the ground fixed control points corresponding to the actual layout quantity, and automatically switching the correction error threshold value of the satellite remote sensing data into a preset threshold value corresponding to the gradient intervals; If the actual layout quantity of the ground fixed control points is in a preset first interval, setting a qualification judging condition that the absolute values of residual errors after correction of all the ground fixed control points are smaller than a preset first threshold value, if any ground fixed control point residual error is larger than the preset first threshold value, judging that correction fails, and sending out an alarm prompt to check the quality of the ground fixed control points and increase the quantity of the ground fixed control points.
  4. 4. A forestry carbon sink dynamic monitoring and transaction data management system according to claim 3, wherein if the actual layout number of the ground fixed control points is in a preset second interval, the qualification judgment condition is set to be that the root mean square error of all corrected ground fixed control points is smaller than or equal to a preset second threshold value, and a residual error limit difference check of a single ground fixed control point is added to require that any single point residual error is not larger than the preset second threshold value; If the actual layout number of the ground fixed control points is in a preset third interval, setting the qualification judging condition to be that after iterative adjustment is executed, the root mean square error of the ground fixed control points is smaller than or equal to a preset third threshold value so as to automatically identify and inhibit the influence of potential coarse difference control points, thereby acquiring more reliable integral correction precision when the number of the control points is sufficient; The fusion calculation unit is used for generating a leaf area index and a single wood biomass distribution map with high spatial resolution through fusion of the optical image reflectivity and the laser radar point cloud structural characteristics; Establishing a dynamic regression relation between an optical vegetation index, a radar backscattering coefficient and a ground carbon flux actual measurement value, and performing space-time interpolation and reconstruction on satellite data which is lack of cloud shielding so as to generate a continuous carbon sink reserve time sequence.
  5. 5. The system for dynamically monitoring and managing transaction data of forestry carbon reserves of claim 1 wherein the additional time series feature extraction interface captures the core features of the time series data of the carbon reserves in real time, and comprises the steps of dynamically adapting the grading judgment and feature extraction window, classifying risk grades based on the maximum withdrawal depth of the carbon reserves and dynamically adapting sensing frequency adjustment; the specific steps of the dynamic adaptation of the grading judgment and the feature extraction window are as follows: the core features include, but are not limited to, carbon sink acceleration slope values and maturity Lin Wentai interval averages; And monitoring a forestry carbon sink reserves time sequence in real time, marking the point as a potential extreme point when the sequence value is detected to exceed a preset dynamic threshold value, and marking the whole process duration of the potential extreme point from the beginning to the end as the carbon sink reserves extreme point duration.
  6. 6. A forestry carbon sink dynamic monitoring and transaction data management system as recited in claim 5, wherein said hierarchical decision and feature extraction window dynamic adaptation further comprises: if the duration of the extreme point of the carbon sink is smaller than or equal to the reference lower limit of the duration, judging that the carbon sink is short disturbance, and maintaining the current feature extraction time window to extract features; If the duration of the extreme point of the carbon sink is in the duration reference interval, establishing a duration-time window mapping relation, inputting the current duration of the extreme point of the carbon sink into the duration-time window mapping relation, and outputting a target feature extraction time window so as to improve the feature extraction time window and ensure that the window can completely cover the whole disturbance event and the initial stage, wherein the duration reference interval represents an opening interval formed by a duration reference lower limit and a duration reference upper limit; If the duration time length of the extreme point of the carbon sink is greater than or equal to the duration time length reference upper limit, judging that the extreme point of the carbon sink is a major duration reversal event, and sending early warning information to related operation and maintenance personnel.
  7. 7. A forestry carbon sink dynamic monitoring and transaction data management system according to claim 5, wherein said grading risk based on maximum depth of retraction of carbon sink time series comprises the steps of: obtaining the maximum withdrawal depth of the carbon reserve time sequence in a predefined evaluation period, wherein the maximum withdrawal depth represents the absolute reduction amount from any historical peak point to the subsequent lowest point, and the risk state is divided into preset grades according to the maximum withdrawal depth, and the preset grades comprise a low risk grade, a medium risk grade and a high risk grade; Presetting a basic threshold of the accumulated gain amount for each risk level, establishing a mapping relation of a maximum withdrawal depth and a gain amount threshold adjustment coefficient, if the risk is in a low risk level, maintaining the basic threshold of the accumulated gain amount, and only proving that the carbon reserve is restored to a preset peak value, namely that the net accumulated gain amount exceeds zero, namely, the robustness is considered; If the risk is in the middle risk class, inputting the current maximum withdrawal depth into a mapping relation of the maximum withdrawal depth and a gain amount threshold value adjustment coefficient, outputting a threshold value adjustment gain coefficient, and combining the current accumulated gain amount basic threshold value and the threshold value adjustment gain coefficient to obtain a target gain amount threshold value; if the risk is at a high risk level, the current maximum withdrawal depth is input into the mapping relation of the maximum withdrawal depth and the gain amount threshold adjustment coefficient, the threshold adjustment reduction coefficient is output, and the current accumulated gain amount basic threshold and the threshold adjustment reduction coefficient are combined to obtain the target gain amount threshold.
  8. 8. A forestry carbon sink dynamic monitoring and transaction data management system as recited in claim 5, wherein said dynamic adaptive sensing frequency adjustment comprises the specific steps of: acquiring instantaneous change acceleration of the carbon reserve time sequence in real time in a preset continuous time window, wherein the instantaneous change acceleration represents the change amount of the carbon sink rate in the preset time window, establishing an instantaneous change acceleration-characteristic grabbing frequency mapping relation, judging that the instantaneous change acceleration is in a steady state if the instantaneous change acceleration is smaller than a change acceleration critical lower limit, and maintaining a characteristic grabbing frequency reference value; if the instantaneous change acceleration is in a change acceleration critical interval, judging that the instantaneous change acceleration is in a gradual change acceleration, inputting the current instantaneous change acceleration into an instantaneous change acceleration-feature grabbing frequency mapping relation, and outputting a target feature grabbing frequency critical upper limit value so as to improve feature grabbing frequency, wherein the obvious trend change is indicated in the carbon sink process, and the change acceleration critical interval represents a closed interval formed by a change acceleration critical lower limit and a change acceleration critical upper limit; If the instantaneous change acceleration is larger than the critical upper limit of the change acceleration, the method judges that the instantaneous change acceleration is in an inflection point state, inputs the current instantaneous change acceleration into the instantaneous change acceleration-feature grabbing frequency mapping relation, and outputs the critical lower limit of the target feature grabbing frequency so as to reduce the feature grabbing frequency, thereby indicating that an interference event or abrupt turning of the growth trend possibly occurs.
  9. 9. A forestry carbon sink dynamic monitoring and transaction data management system according to claim 1, wherein the accounting for actual net carbon sink during a predetermined historical monitoring period comprises the steps of: Obtaining an actual carbon reserve time sequence in the preset historical monitoring period from a time sequence feature extraction interface, comparing the actual carbon reserve time sequence with a dynamic baseline sequence in the preset historical monitoring period, and calculating the sum of differences of the actual carbon reserve time sequence and the dynamic baseline sequence to obtain an actual net carbon sink relative to the dynamic baseline in the monitoring period; Determining a attributable leakage proportion through a predefined attribution model by calling statistical correlation characteristics of a carbon sink activity intensity time sequence and a leakage event time sequence provided by a time sequence feature extraction interface, and obtaining attributable leakage emission; And subtracting the emission quantity of the attributable leakage from the actual net carbon sequestration quantity to obtain the net carbon sequestration quantity after deduction of leakage.
  10. 10. A method of using a forestry carbon collection storage dynamic monitoring and transaction data management system as recited in any one of claims 1-9, comprising: The method comprises the steps of collecting multisource monitoring data of forestry carbon collection reserves, wherein the multisource monitoring data comprise a satellite remote sensing monitoring unit, an unmanned aerial vehicle laser scanning unit and a ground sensing monitoring unit; preprocessing, calibrating and fusing the multisource monitoring data to generate accurate forestry carbon sink reserves time series data, wherein the data fusion processing module comprises a multisource data calibration unit and a fusion calculation unit; According to forestry carbon sink reserves time sequence data, a time sequence feature extraction interface is additionally arranged to capture core features of the carbon sink reserves time sequence data in real time, and conversion of carbon sink assets from initially registered static ownership management to full-period dynamic management is achieved; And (3) calculating the actual net carbon sink in a preset historical monitoring period according to the real-time carbon sink dynamic characteristics acquired from the time sequence characteristic extraction interface, and combining forestry carbon sink time sequence data output by the data fusion processing module to construct a dynamic carbon sink offset calculation system.

Description

Forestry carbon sink reserves dynamic monitoring and transaction data management system and method Technical Field The invention relates to the technical field of carbon sink monitoring and optimization, in particular to a forestry carbon sink reserves dynamic monitoring and transaction data management system and method. Background In a dynamic monitoring link of carbon sink reserves in forestry, a data transmission link can be interrupted due to the fact that a multi-channel redundancy design is not adopted, a single-point fault can cause data transmission interruption, a satellite remote sensing monitoring means cannot acquire effective monitoring data in a cloud cover period due to the lack of cloud cover penetrating and shielding compensation technology, further continuous time series data cannot be formed in carbon sink reserves monitoring, an air-to-ground integrated redundancy monitoring and data supplementing mechanism is not built in the existing monitoring technology system, a special sensor for forestry field environment is lagged in research and development, the environment adaptability and stability of a general sensor are insufficient, a remote sensing data processing algorithm is not integrated with multi-source data fusion compensation logic, and missing data under abnormal working conditions such as cloud shielding can not be effectively repaired. In a forestry carbon exchange data management link, the technical problem that carbon exchange assets have high risk of one-carbon multi-sale exists, an existing data management system does not endow each carbon exchange asset with a unique and non-tamperable identity mark, and a data traceable link covering the full life cycle of carbon exchange is not established, so that the same batch of carbon exchange assets can be repeatedly registered and traded, the existing system adopts a centralized data storage and management architecture, lacks a full-flow evidence storage and verification mechanism based on a distributed account book technology, and does not realize full-link data association and consistency verification of the carbon exchange assets from a source to a trading terminal. In the carbon sink asset counteracting emission accounting link, the technical problem of low actual counteracting quantity accounting precision exists, and the technical problem is specifically expressed in that the existing accounting technology does not bring carbon leakage possibly generated in the carbon sink forest building process (such as cutting down other forest vegetation with carbon sink functions for expanding the carbon sink forest planting area) into an accounting range, meanwhile, a carbon sink capacity attenuation model of the carbon sink forest is not built, the influence of carbon sink capacity reduction on the actual counteracting quantity after the mature of the tree cannot be considered, the existing accounting standard does not define the defining range and the quantification method of the carbon leakage, and a carbon sink capacity dynamic prediction model based on long-term monitoring data is lacked, so that obvious deviation exists between an accounting result and the actual carbon sink counteracting effect, and the problem of low reliability of forestry carbon sink capacity dynamic monitoring and transaction data management is caused by the insufficient evaluation of carbon sink long-term dynamics and carbon fixation stability. Disclosure of Invention In order to solve the technical problem that the reliability of dynamic monitoring and transaction data management of the carbon sink reserves of the forestry is low due to the fact that the carbon sink long-term dynamic property and carbon fixation stability assessment are insufficient in the prior art, the embodiment of the invention provides a system and a method for dynamic monitoring and transaction data management of the carbon sink reserves of the forestry. The technical scheme is as follows: the system comprises a dynamic monitoring module, a data fusion processing module, a blockchain transaction data management module and a carbon sink counteracting accounting module, wherein the dynamic monitoring module is used for collecting multi-source monitoring data of forestry carbon sink reserves, the multi-source monitoring data comprises a satellite remote sensing monitoring unit, an unmanned plane laser scanning unit and a ground sensing monitoring unit, the data fusion processing module is used for preprocessing, calibrating and fusing the multi-source monitoring data to generate accurate forestry carbon sink time sequence data, the data fusion processing module comprises a multi-source data calibration unit and a fusion computing unit, the blockchain transaction data management module is used for additionally extracting core features of the carbon sink time sequence data according to the forestry carbon sink time sequence data, realizing conversion of carbon sink assets from initial regi