Park carbon emission intelligent monitoring and dynamic accounting system based on big data platform

Abstract

The invention discloses a park carbon emission intelligent monitoring and dynamic accounting system based on a big data platform, and relates to the technical field of carbon emission management. Comprising a data acquisition module, a data integration module, a data calculation module, a carbon evaluation module, a carbon asset management module, an automatic report generation module, a visual display module, a real-time monitoring and reminding module, a data verification and auditing module and an updating and improving module. The data calculation module is used for calculating and analyzing the carbon emission according to the integrated carbon emission data to obtain rating calculation data and asset management calculation data; the data verification and auditing module is used for obtaining auditing result data according to the carbon emission report and the monitoring reminding data; and the updating and improving module is used for providing improved feedback data according to the audit result data. The system provided by the invention not only improves the efficiency and accuracy of park carbon emission management, but also provides powerful technical support for achieving the goal of carbon emission reduction through real-time monitoring and dynamic accounting.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission management, and in particular to an intelligent monitoring and dynamic accounting system for carbon emissions in a park based on a big data platform. Background Art

[0002] As the global climate change problem becomes increasingly serious, governments and international organizations are paying more and more attention to reducing greenhouse gas emissions. As a concentration of various activities such as industry, commerce and residence, the carbon emissions of the park account for a considerable part of the total urban emissions. Traditional carbon emission monitoring and accounting methods often rely on manual data collection and manual calculations, which is not only inefficient but also prone to errors and difficult to meet the growing demand for accuracy and real-time performance. In addition, due to the lack of effective data integration and analysis tools, it is difficult for park managers to effectively manage and optimize carbon emissions, resulting in poor implementation of carbon emission control measures. In response to the above problems, the existing technical solutions mainly include some simple data collection systems and preliminary carbon emission calculation models. These systems often have single functions, lack the ability to deeply integrate and analyze data, and cannot provide comprehensive carbon emission evaluation and asset management functions. At the same time, these systems also lack the ability to monitor and dynamically calculate in real time, cannot respond to changes in carbon emissions in a timely manner, and cannot achieve refined management of carbon emissions. Summary of the invention

[0003] The present invention provides a park carbon emission intelligent monitoring and dynamic accounting system based on a big data platform, which can solve the above problems.

[0004] In order to solve the above problems, the technical solution adopted by the present invention is as follows:

[0005] The present invention provides a park carbon emission intelligent monitoring and dynamic accounting system based on a big data platform, including:

[0006] Data collection module, used to collect raw carbon emission data in the park in real time, and optimize data collection methods based on improved feedback data;

[0007] The data integration module is used to clean and integrate the original carbon emission data to form a unified data format and obtain the integrated carbon emission data;

[0008] The data calculation module is used to calculate and analyze carbon emissions based on the integrated carbon emission data to obtain rating calculation data and asset management calculation data;

[0009] The carbon evaluation module is used to evaluate and rate carbon emissions based on the rating calculation data to obtain carbon emissions evaluation and rating results;

[0010] The carbon asset management module is used to manage and trade carbon assets based on asset management calculation data to obtain carbon asset management results;

[0011] Automatic report generation module, used to automatically generate carbon emission reports based on carbon emission evaluation and rating results;

[0012] Visual display module, used to display carbon emission reports and carbon asset management results;

[0013] Real-time monitoring and reminder module, used to monitor carbon emission data, obtain monitoring reminder data based on carbon emission evaluation data, and ensure that the predetermined emission reduction target is achieved;

[0014] Data verification and audit module, used to obtain audit result data based on carbon emission report and monitoring reminder data;

[0015] Update and improve module, used to propose improvement feedback data based on audit result data.

[0016] As a further description of the above technical solution: the data acquisition module includes a central control unit, which is configured with firmware for scheduling and synchronizing multiple sensors and smart devices to ensure the consistency and accuracy of the data.

[0017] As a further description of the above technical solution: the data integration module includes a data fusion algorithm to merge data streams from different sensors into a unified data stream and perform data loss and timestamp mismatch.

[0018] As a further description of the above technical solution: the data calculation module includes a machine learning model to predict future carbon emission trends based on historical data, and adjust the generation of rating calculation data and asset management calculation data accordingly.

[0019] As a further description of the above technical solution: the carbon evaluation module includes a comparison database, which stores carbon emission benchmark data of different industries and is used to compare the carbon emission data of the park with the industry standards to obtain a more accurate rating result.

[0020] As a further description of the above technical solution: the carbon asset management module includes a trading interface, which can interact with the external carbon trading market to automatically buy and sell carbon emission rights and carbon credits to optimize the carbon asset configuration of the park.

[0021] As a further description of the above technical solution: the automatic report generation module includes a template library, which stores a variety of report templates and can automatically select and fill in corresponding templates according to different user needs and report purposes to generate a customized carbon emission report.

[0022] As a further description of the above technical solution: the visualization display module further has a user-defined view function, allowing the user to select the data type and chart type to be displayed, as well as set the color and layout of the chart according to personal preferences and needs.

[0023] As a further description of the above technical solution: the real-time monitoring and reminder module includes an intelligent early warning system, which can automatically adjust the early warning threshold according to real-time data and preset emission reduction targets, and send reminders via email, text message or application push when carbon emissions approach or exceed the threshold.

[0024] As a further description of the above technical solution: the data verification and review module includes an automated audit tool that can perform automated compliance checks on carbon emission reports and monitoring reminder data, including data integrity, accuracy and consistency, and generate audit reports.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] 1) Through the automated data collection and integration module, the system can collect and process carbon emission data in real time and accurately, avoiding errors and delays in manual operations.

[0027] 2) The data calculation module can conduct in-depth analysis of the integrated data, provide rating calculations and asset management calculations, and provide a scientific basis for carbon emission evaluation and asset management.

[0028] 3) The real-time monitoring and reminder module can monitor changes in carbon emission data and promptly remind managers to ensure the achievement of emission reduction targets.

[0029] 4) The carbon assessment module and carbon asset management module can perform evaluation and asset management based on the calculation results, thereby improving the pertinence and effectiveness of carbon emission management.

[0030] 5) The automatic report generation module and the visual display module can present complex carbon emission data and results to managers in an intuitive way, making it easier to understand and make decisions.

[0031] 6) The data verification and audit module can ensure the accuracy of data and the reliability of reports, and improve the credibility of the system.

[0032] 7) The update and improvement module can propose improvement measures based on the audit results, so that the system can be continuously optimized and adapted to the changing carbon emission management needs.

[0033] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the embodiments of the present invention are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0035] Figure 1 It is a schematic block diagram of the structure of the park carbon emission intelligent monitoring and dynamic accounting system based on the big data platform described in the embodiment. DETAILED DESCRIPTION

[0036] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments.

[0037] Please refer to Figure 1 The present invention discloses an intelligent monitoring and dynamic accounting system for carbon emissions in a park based on a big data platform, including a data acquisition module, a data integration module, a data calculation module, a carbon evaluation module, a carbon asset management module, an automatic report generation module, a visualization display module, a real-time monitoring and reminder module, a data verification and review module, and an update and improvement module.

[0038] 1. Data acquisition module

[0039] The data collection module is the foundation of the system and is responsible for collecting the original carbon emission data within the park in real time, as well as optimizing the data collection method based on the improved feedback data from the update and improvement module.

[0040] Among them, the original carbon emission data includes the energy consumption data of the production equipment of the park enterprises, the waste, wastewater, waste gas and carbon emission data generated in the production process, as well as the relevant data of the circular economy industrial chain within the park and between the enterprises and the outside.

[0041] The data acquisition module includes a central control unit configured with firmware for scheduling and synchronizing multiple sensors and smart devices to ensure data consistency and accuracy.

[0042] The central control unit periodically sends instructions to sensors and smart devices to start data collection. Sensors and smart devices collect data according to the instructions and transmit the data back to the central control unit through wireless or wired networks. The central control unit performs preliminary processing on the data, such as time stamp synchronization and data format standardization, and then stores it in the local database. Based on the improvement feedback data, the central control unit adjusts the data collection strategy to optimize the data collection method.

[0043] The data collection module regularly receives improvement feedback data from the update and improvement module, which includes performance evaluation, user feedback, and system monitoring results. The improvement feedback data is analyzed in detail to identify deficiencies in the data collection process, such as data loss, inaccurate data, and inappropriate data collection frequency. According to the improvement feedback, the collection frequency of sensors and IoT devices is adjusted. For example, if it is found that data collection in certain areas is too frequent, resulting in data redundancy, the collection frequency can be appropriately reduced; conversely, if the data in certain key areas is insufficient, the collection frequency can be increased. Based on the improvement feedback, the layout and coverage of sensors are also re-evaluated to ensure that key emission sources and energy consumption points are effectively monitored. It may be necessary to add new sensors or adjust the location of existing sensors. If the improvement feedback indicates that the performance of existing equipment is insufficient or the technology is outdated, consider upgrading or replacing more advanced sensors and IoT devices to improve the accuracy and efficiency of data collection.

[0044] 2. Data integration module

[0045] The data integration module is the core component of the park's carbon emissions intelligent monitoring and dynamic accounting system. It is responsible for cleaning, integrating, and converting the raw carbon emissions data from different sensors and data sources into a unified data format to obtain integrated carbon emissions data so that subsequent modules can efficiently perform calculations and analyses.

[0046] The data integration module includes the following key functional components:

[0047] Data preprocessing unit: responsible for receiving the raw data from the data acquisition module and performing preliminary data cleaning work, such as removing noise, filling missing values, format standardization, etc.

[0048] Data fusion algorithm: merges the data streams collected by different sensors and smart devices into a unified data stream and handles the problems of data loss and timestamp mismatch.

[0049] Data storage unit: Stores the cleaned and integrated data in the database for use by subsequent modules.

[0050] Data synchronization mechanism: ensures the consistency of data from different data sources in time series to facilitate accurate carbon emissions calculation.

[0051] Data quality monitoring: Monitor data quality during the data integration process to ensure data accuracy and reliability.

[0052] 3. Data calculation module

[0053] The data calculation module is responsible for in-depth calculation and analysis of the integrated carbon emission data to generate rating calculation data and asset management calculation data. This module uses advanced algorithms and machine learning models to provide accurate carbon emission calculations and future trend forecasts.

[0054] The data calculation module includes the following key functional components:

[0055] Data interface unit: responsible for receiving integrated data from the data integration module.

[0056] Calculation Engine: Performs calculation and analysis of carbon emissions.

[0057] Machine learning model: predict future carbon emission trends based on historical data.

[0058] Result storage unit: stores calculation results for use by other modules.

[0059] Performance Monitoring Unit: monitors computational performance and accuracy of results.

[0060] 4. Carbon Assessment Module

[0061] The carbon assessment module conducts carbon emission evaluation and rating based on the rating calculation data to obtain carbon emission evaluation and rating results. The specific operations include: comparing the database that stores carbon emission benchmark data of different industries; comparing the park's carbon emission data with industry standards to obtain more accurate rating results; the rating results are used to guide the park's carbon emission reduction strategy.

[0062] In addition, the carbon assessment module can also add a dynamic adjustment mechanism, which can automatically update the benchmark data in the comparison database according to the latest industry policies, technological advances and market changes, ensuring the timeliness and adaptability of the assessment results.

[0063] 5. Carbon asset management module

[0064] The carbon asset management module manages and trades carbon assets based on the asset management calculation data to obtain carbon asset management results. The operation process includes: the transaction interface interacts with the external carbon trading market to automatically buy and sell carbon emission rights and carbon credits; optimizes the carbon asset configuration of the park to maximize cost-effectiveness.

[0065] In order to improve the liquidity and value of carbon assets, the carbon asset management module can also provide carbon asset preservation and value-added services. By cooperating with financial institutions, the park can use its carbon assets as collateral to obtain green credit or issue green bonds. At the same time, the module also supports the long-term planning and strategic deployment of carbon assets. In terms of transaction execution, the carbon asset management module can automatically execute buy and sell orders and track transaction status in real time to ensure the smooth progress of transactions. The module also provides transaction records and analysis reports to help park managers understand transaction effects and optimize future transaction decisions.

[0066] 6. Automatic report generation module

[0067] The automatic report generation module automatically generates a carbon emission report based on the carbon emission evaluation and rating results.

[0068] Among them, the template library stores a variety of report templates, automatically selects and fills in the corresponding templates according to user needs and report purposes, generates customized carbon emission reports, and provides them to users.

[0069] Take a carbon emissions report as an example: First, the cover page shows the report title, park or enterprise logo, issuing agency and date. Next, the summary section briefly summarizes the purpose of the report, main findings and key data. The table of contents lists the various sections of the report and their page numbers. The introduction section provides the background of the report and the time range covered. The core section is carbon emissions data and analysis, detailing the total amount, intensity and trend of carbon emissions. The emission reduction measures and results section evaluates the implemented strategies and results. The carbon asset management section discusses the trading and management of carbon assets. The risk assessment and management section identifies risks and proposes management strategies. The policy and regulatory compliance section analyzes compliance. The future outlook and planning section sets emission reduction targets and plans. The appendix provides data sources and explanations of terms.

[0070] 7. Visual display module

[0071] The visualization module is used to display carbon emission reports and carbon asset management results. The user-defined view function allows users to select the data type and chart type to be displayed. Users can set the color and layout of the chart to meet their personal preferences and needs.

[0072] 8. Real-time monitoring and reminder module

[0073] The real-time monitoring and reminder module is used to monitor carbon emission data, and obtain monitoring and reminder data based on carbon emission evaluation data to ensure that the predetermined emission reduction target is achieved. The intelligent early warning system automatically adjusts the early warning threshold based on real-time data and preset emission reduction targets. When carbon emissions approach or exceed the threshold, reminders are sent via email, SMS or application push.

[0074] 9. Data verification and audit module

[0075] The data verification and audit module is used to obtain audit result data based on carbon emission reports and monitoring reminder data. The automated audit tool performs automated compliance checks on carbon emission reports and monitoring reminder data, including data integrity, accuracy and consistency, and generates audit reports.

[0076] 10. Update and improve modules

[0077] The update and improvement module is used to propose improvement feedback data based on the audit result data and feed it back to the data collection module.

[0078] After analyzing the audit report, the update and improvement module identifies problems in the data collection and processing process, proposes improvement measures based on the identified problems, and feeds back to the data acquisition module and data integration module to optimize the data collection and processing process.

[0079] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A park carbon emission intelligent monitoring and dynamic accounting system based on a big data platform, characterized in that: include: Data collection module, used to collect raw carbon emission data in the park in real time, and optimize data collection methods based on improved feedback data; The data integration module is used to clean and integrate the original carbon emission data to form a unified data format and obtain the integrated carbon emission data; The data calculation module is used to calculate and analyze carbon emissions based on the integrated carbon emission data to obtain rating calculation data and asset management calculation data; The carbon evaluation module is used to evaluate and rate carbon emissions based on the rating calculation data to obtain carbon emissions evaluation and rating results; The carbon asset management module is used to manage and trade carbon assets based on asset management calculation data to obtain carbon asset management results; Automatic report generation module, used to automatically generate carbon emission reports based on carbon emission evaluation and rating results; Visual display module, used to display carbon emission reports and carbon asset management results; Real-time monitoring and reminder module, used to monitor carbon emission data, obtain monitoring reminder data based on carbon emission evaluation data, and ensure that the predetermined emission reduction target is achieved; Data verification and audit module, used to obtain audit result data based on carbon emission report and monitoring reminder data; Update and improve module, used to propose improvement feedback data based on audit result data.

2. The system according to claim 1, characterized in that The data acquisition module includes a central control unit configured with firmware for scheduling and synchronizing multiple sensors and smart devices to ensure data consistency and accuracy.

3. The system according to claim 1, characterized in that The data integration module includes a data fusion algorithm to merge the data streams from different sensors into a unified data stream and to perform data loss and time stamp mismatch.

4. The system according to claim 1, characterized in that The data calculation module includes a machine learning model to predict future carbon emission trends based on historical data and adjust the generation of rating calculation data and asset management calculation data accordingly.

5. The system according to claim 1, characterized in that The carbon evaluation module includes a comparison database storing carbon emission benchmark data of different industries, which is used to compare the carbon emission data of the park with the industry standards to obtain a more accurate rating result.

6. The system according to claim 1, characterized in that The carbon asset management module includes a transaction interface that can interact with an external carbon trading market to automatically buy and sell carbon emission rights and carbon credits to optimize the carbon asset configuration of the park.

7. The system according to claim 1, characterized in that The automatic report generation module includes a template library storing a variety of report templates, and can automatically select and fill in corresponding templates according to different user needs and report purposes to generate a customized carbon emission report.

8. The system according to claim 1, characterized in that The visualization display module further has a user-defined view function, allowing the user to select the data type and chart type to be displayed, as well as set the color and layout of the chart according to personal preferences and needs.

9. The system according to claim 1, characterized in that The real-time monitoring and reminder module includes an intelligent early warning system, which can automatically adjust the early warning threshold according to real-time data and preset emission reduction targets, and send reminders via email, text message or application push when carbon emissions approach or exceed the threshold.

10. The system according to claim 1, characterized in that The data verification and review module includes an automated audit tool that can perform automated compliance checks on carbon emission reporting and monitoring reminder data, including data completeness, accuracy and consistency, and generate audit reports.

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