A low-carbon environmental protection medium-voltage cable carbon footprint research system and method
Patent Information
- Application Number
- CN202510428115.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-07
- Publication Date
- 2026-10-16
AI Technical Summary
现有的低碳环保中压电缆碳足迹研究系统,虽然能够对低碳环保中压电缆进行碳足迹核算,然而在核算过程中,不便于应对碳足迹核算结果给出有效的减排决策,即便能够给出对碳足迹数据的趋势分析为决策提供依据,也不便于在执行减排决策后进行结果的对比识别及检测反馈,并根据碳足迹的异常因素对电缆生产进行调整或者预警,因此功能性相对不足,存在改进空间
1.该低碳环保中压电缆碳足迹研究系统及方法设置有碳排放监测模块,碳排放数据采集模块用于采集低碳环保中压电缆的生产制造数据,电缆运输数据、电缆使用数据以及废弃处理数据,以便充分考虑不同阶段的碳排放因子,将各种能源消耗、原材料使用等转化为相应的碳排放量,而数据溯源记录模块能够对每一个数据点建立详细的记录,包括采集时间、地点、设备、人员等信息,以便在需要时进行追溯和验证,数据处理模块能够对采集到的原始数据进行筛选、去噪、填补缺失值等处理,提高数据质量,碳足迹数据管理平台能够与供应链上下游企业共享碳足迹数据,数据备份模块能够定期对低碳环保中压电缆的碳排放数据进行备份,防止数据丢失,在需要时能够及时恢复数据。
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Abstract
Description
Technical Field
[0001] This invention relates to the field of cable carbon footprint research technology, specifically to a low-carbon and environmentally friendly medium-voltage cable carbon footprint research system and method. Background Technology
[0002] Low-carbon and environmentally friendly medium-voltage cables are medium-voltage power cables that utilize new environmentally friendly materials and technologies. They employ non-crosslinked modified polypropylene as insulation, a material known for its corrosion resistance, high temperature resistance, and high mechanical strength. This material is also recyclable, meeting green environmental protection requirements. It is suitable for medium-voltage power transmission and distribution systems in scenarios such as the State Grid, Southern Power Grid, subways, high-speed railways, and coal mines, as well as special environments like high-rise buildings and industrial facilities. With the power grid's transition to green and low-carbon practices, low-carbon and environmentally friendly medium-voltage cables, due to their environmental friendliness, safety, and high performance, have become an important development direction for the power industry. The carbon footprint of a cable refers to the total greenhouse gas emissions generated throughout its entire life cycle, from production and transportation to use and disposal. Existing carbon footprint research systems for low-carbon and environmentally friendly medium-voltage cables can calculate their carbon footprint, but during the calculation process, they are not convenient for making effective emission reduction decisions based on the carbon footprint calculation results. Even if they can provide trend analysis of carbon footprint data to provide a basis for decision-making, they are not convenient for comparing, identifying, and detecting feedback on the results after implementing emission reduction decisions, nor for adjusting or issuing early warnings for cable production based on abnormal factors in the carbon footprint. Therefore, their functionality is relatively insufficient and there is room for improvement. Summary of the Invention
[0003] To address the shortcomings of existing technologies, this invention provides a system and method for studying the carbon footprint of low-carbon and environmentally friendly medium-voltage cables, thus solving the problems mentioned in the background section.
[0004] To achieve the above objectives, the present invention provides the following technical solution: a low-carbon and environmentally friendly medium-voltage cable carbon footprint research system, comprising a cable carbon footprint research center, a carbon emission monitoring module, and a carbon emission prediction module. The input end of the cable carbon footprint research center is electrically connected to the carbon emission monitoring module, which includes a carbon emission data acquisition module and a data traceability and recording module. The carbon emission data acquisition module is connected to the data traceability and recording module, which establishes detailed records for each data point, including information such as collection time, location, equipment, and personnel, for traceability and verification when needed. The output end of the carbon emission monitoring module... The system is electrically connected to an emission early warning module, and the output of the emission early warning module is electrically connected to a carbon emission accounting module. The output of the carbon emission accounting module is electrically connected to a carbon footprint assessment module. The output of the carbon footprint assessment module is electrically connected to a carbon emission prediction module. The output of the carbon emission prediction module is electrically connected to an emission reduction decision-making module. The output of the emission reduction decision-making module is electrically connected to an emission reduction feedback module. The emission reduction feedback module includes an actual comparison module, an excess anomaly identification module, and an anomaly warning module. The output of the actual comparison module is electrically connected to an excess anomaly identification module, and the output of the excess anomaly identification module is electrically connected to an anomaly warning module.
[0005] Furthermore, the carbon emission data acquisition module includes production and manufacturing data of low-carbon and environmentally friendly medium-voltage cables, cable transportation data, cable usage data, and waste disposal data.
[0006] Furthermore, the carbon emission monitoring module also includes a data processing module and a data storage module. The output end of the carbon emission data acquisition module is electrically connected to the data processing module, and the output end of the data processing module is electrically connected to the data storage module. The data processing module is used to filter, denoise, and fill in missing values on the collected raw data to improve data quality.
[0007] Furthermore, the carbon emission monitoring module also includes a carbon footprint data management platform and a data backup module. The output end of the data storage module is electrically connected to the carbon footprint data management platform, and the output end of the carbon footprint data management platform is electrically connected to the data backup module. The carbon footprint data management platform is used to share carbon footprint data with upstream and downstream enterprises in the supply chain, and the data backup module is used to regularly back up the carbon emission data of low-carbon and environmentally friendly medium-voltage cables to prevent data loss and to restore the data in a timely manner when needed.
[0008] Furthermore, the emission early warning module is used to set a threshold for carbon footprint during the monitoring process. When carbon emissions exceed the threshold, the system automatically issues an early warning signal to remind relevant personnel to take measures for adjustment and control. The carbon emission accounting module is used to calculate the carbon footprint of direct emission cables throughout their entire life cycle, from production and manufacturing to transportation, use and disposal, based on historical data from the carbon emission monitoring module, using a combination of life cycle assessment and input-output analysis, and finally summarizing the total carbon emissions.
[0009] Furthermore, the carbon footprint assessment module includes an analysis and evaluation module, a report generation module, and a carbon footprint visualization module. The output of the analysis and evaluation module is electrically connected to the report generation module, and the output of the report generation module is electrically connected to the carbon footprint visualization module.
[0010] Furthermore, the analysis and evaluation module is used to analyze the calculation results, identify the corresponding carbon emission links and carbon emission data of the cable's carbon footprint, compare them with the carbon footprint of the same industry standards or other similar products, evaluate the cable's performance in terms of carbon emissions, and quantify them into specific values. The report generation module is used to present the carbon footprint calculation results and the results of the analysis and evaluation module in a clear and accurate report format, automatically generating a carbon footprint report for the entire life cycle of the cable, including information such as total carbon emissions and the proportion of carbon emissions at each stage. The carbon footprint visualization module is used to display the distribution of the cable's carbon footprint at different stages in the form of intuitive charts, maps, etc., so as to quickly understand the carbon emission hotspots and links.
[0011] Furthermore, the carbon emission prediction module is used to perform trend analysis on carbon footprint data based on historical carbon emission data using data analysis algorithms, thereby predicting the future trend of carbon footprint changes. The emission reduction decision-making module analyzes the carbon emission reduction potential and effect by comparing carbon footprint data of different schemes or different time periods, and proposes targeted emission reduction strategies, including but not limited to optimizing production processes, adopting clean energy, improving transportation methods, and increasing the service life of cables. It also predicts and evaluates the implementation effect of emission reduction strategies to provide the best emission reduction decision.
[0012] Furthermore, the actual comparison module is used to compare the actual carbon emission results of the emission reduction plan with the predicted results, and compare the actual carbon footprint with the predicted carbon footprint to identify the carbon footprint difference value. If there is excessive carbon emission, the process proceeds to the next step. The excessive anomaly identification module is used to identify abnormal factors affecting the excessive change of carbon footprint. The anomaly warning module is used to adjust or warn about cable production based on the identification results of the excessive anomaly identification module, and to feed back the abnormal factor identification results of carbon footprint to the Cable Carbon Footprint Research Center.
[0013] Furthermore, the method of using the low-carbon and environmentally friendly medium-voltage cable carbon footprint research system includes the following specific steps: Step 1: Monitor carbon emissions through the carbon emission monitoring module. The carbon emission data acquisition module collects production and manufacturing data of low-carbon and environmentally friendly medium-voltage cables, processes and stores the data, and establishes a corresponding carbon footprint data management platform to share carbon footprint data with upstream and downstream enterprises in the supply chain. At the same time, the emission early warning module can set carbon footprint thresholds during the monitoring process. When carbon emissions exceed the threshold, the system automatically issues an early warning signal to remind relevant personnel to take measures to adjust and control the emissions. Step 2: Next, the carbon emission accounting module can calculate the carbon footprint of direct emission cables throughout their entire life cycle, from production and manufacturing, transportation and use to disposal, based on historical data from the carbon emission monitoring module, using a combination of life cycle assessment and input-output analysis, and finally summarize the total carbon emissions. Step 3: The analysis and evaluation module of the carbon footprint assessment module can analyze the accounting results. Then, the report generation module can present the carbon footprint accounting results and the analysis and evaluation module results in a clear and accurate report form. Then, the carbon footprint visualization module can also display the distribution of the carbon footprint of the cable at different stages in an intuitive form such as charts and maps, so as to quickly understand the carbon emission hotspots and links. Step 4: The carbon emission prediction module can use data analysis algorithms to perform trend analysis on carbon footprint data based on historical carbon emission data, thereby predicting the future trend of carbon footprint changes. Then, the emission reduction decision-making module analyzes the carbon emission reduction potential and effect by comparing carbon footprint data of different schemes or different time periods, proposes targeted emission reduction strategies, and further predicts and evaluates the implementation effect of emission reduction strategies to give the best emission reduction decision. Step 5: After the emission reduction decision-making module executes the decision, the emission reduction feedback module detects and provides feedback on the results. The actual comparison module compares the actual carbon emission results of the emission reduction plan with the predicted results, and compares the actual carbon footprint with the predicted carbon footprint to identify the carbon footprint difference value. If there is excessive carbon emission, the excessive anomaly identification module identifies the abnormal factors affecting the excessive change of carbon footprint. Then, the anomaly warning module can adjust or issue an early warning for cable production based on the identification results of the excessive anomaly identification module, and feed back the abnormal factor identification results of carbon footprint to the Cable Carbon Footprint Research Center.
[0014] This invention provides a system and method for studying the carbon footprint of low-carbon and environmentally friendly medium-voltage cables, which has the following beneficial effects: 1. The carbon footprint research system and method for low-carbon and environmentally friendly medium-voltage cables includes a carbon emission monitoring module and a carbon emission data acquisition module. The carbon emission data acquisition module collects production, transportation, usage, and waste disposal data for low-carbon and environmentally friendly medium-voltage cables to fully consider carbon emission factors at different stages, converting various energy consumption and raw material usage into corresponding carbon emissions. The data traceability and recording module establishes detailed records for each data point, including collection time, location, equipment, and personnel information, enabling traceability and verification when needed. The data processing module filters, denoises, and fills in missing values in the collected raw data to improve data quality. The carbon footprint data management platform can share carbon footprint data with upstream and downstream enterprises in the supply chain. The data backup module regularly backs up the carbon emission data of low-carbon and environmentally friendly medium-voltage cables to prevent data loss and allows for timely data recovery when needed.
[0015] 2. This low-carbon and environmentally friendly medium-voltage cable carbon footprint research system and method includes a carbon emission accounting module and an emission early warning module. The system can set carbon footprint thresholds during monitoring. When carbon emissions exceed the threshold, the system automatically issues an early warning signal, reminding relevant personnel to take measures for adjustment and control. Based on a combination of life cycle assessment and input-output analysis, the carbon emission accounting module calculates the carbon footprint of directly emitting cables throughout their entire life cycle, from production and manufacturing to transportation, use, and disposal, using historical data from the carbon emission monitoring module. The module ultimately summarizes the total carbon emissions. The carbon emission prediction module uses data analysis algorithms to perform trend analysis on carbon footprint data based on historical carbon emission data, predicting future carbon footprint trends. The emission reduction decision-making module compares carbon footprint data from different schemes or time periods to analyze carbon reduction potential and effectiveness, proposing targeted emission reduction strategies, including but not limited to optimizing production processes, adopting clean energy, improving transportation methods, and increasing cable lifespan. It further predicts and evaluates the implementation effects of these emission reduction strategies to provide the best emission reduction decision.
[0016] 3. The carbon footprint research system and method for low-carbon and environmentally friendly medium-voltage cables includes a carbon footprint evaluation module and an analysis and assessment module. The analysis and assessment module can analyze the calculation results, identify the corresponding carbon emission stages and data of the cable's carbon footprint, compare them with industry standards or other similar products, evaluate the cable's performance in terms of carbon emissions, and quantify them into specific values. The report generation module can present the carbon footprint calculation results and analysis and assessment module results in a clear and accurate report format, automatically generating a carbon footprint report for the entire life cycle of the cable, including total carbon emissions and the proportion of carbon emissions at each stage. The carbon footprint visualization module can display the distribution of the cable's carbon footprint at different stages in intuitive charts, maps, and other formats, enabling a quick understanding of carbon emission hotspots and stages.
[0017] 4. The low-carbon and environmentally friendly medium-voltage cable carbon footprint research system and method are equipped with an emission reduction decision-making module and an emission reduction feedback module. The emission reduction feedback module is used to detect and provide feedback on the results after the decision-making module is implemented. The actual comparison module can compare the actual carbon emission results of the emission reduction plan with the predicted results, and compare the actual carbon footprint with the predicted carbon footprint to identify the carbon footprint difference value. If there is excessive carbon emission, it will proceed to the next step. The excessive anomaly identification module can identify abnormal factors affecting the excessive change of carbon footprint. The anomaly warning module can adjust or warn cable production based on the identification results of the excessive anomaly identification module, and feed back the abnormal factor identification results of carbon footprint to the cable carbon footprint research center. Attached Figure Description
[0018] Figure 1 This is a schematic diagram of the system framework of the low-carbon and environmentally friendly medium-voltage cable carbon footprint research system and method of the present invention; Figure 2 This is a schematic diagram of the carbon emission monitoring module of the low-carbon and environmentally friendly medium-voltage cable carbon footprint research system and method of the present invention; Figure 3 This is a schematic diagram of the carbon emission data acquisition module of the low-carbon and environmentally friendly medium-voltage cable carbon footprint research system and method of the present invention; Figure 4 This is a schematic diagram of the carbon footprint evaluation module of the low-carbon and environmentally friendly medium-voltage cable carbon footprint research system and method of the present invention; Figure 5 This is a schematic diagram of the emission reduction feedback module of the low-carbon and environmentally friendly medium-voltage cable carbon footprint research system and method of the present invention.
[0019] In the diagram: 1. Cable Carbon Footprint Research Center; 2. Carbon Emission Monitoring Module; 201. Carbon Emission Data Acquisition Module; 202. Data Traceability and Recording Module; 203. Data Processing Module; 204. Data Storage Module; 205. Carbon Footprint Data Management Platform; 206. Data Backup Module; 3. Emission Early Warning Module; 4. Carbon Emission Accounting Module; 5. Carbon Footprint Evaluation Module; 501. Analysis and Assessment Module; 502. Report Generation Module; 503. Carbon Footprint Visualization Module; 6. Carbon Emission Prediction Module; 7. Emission Reduction Decision Making Module; 8. Emission Reduction Feedback Module; 801. Actual Comparison Module; 802. Excess Anomaly Identification Module; 803. Anomaly Warning Module. Detailed Implementation
[0020] Please see Figures 1-3This invention provides a technical solution: a low-carbon and environmentally friendly medium-voltage cable carbon footprint research system, including a cable carbon footprint research center 1, a carbon emission monitoring module 2, and a carbon emission prediction module 6. The input end of the cable carbon footprint research center 1 is electrically connected to the carbon emission monitoring module 2, and the carbon emission monitoring module 2 includes a carbon emission data acquisition module 201 and a data traceability and recording module 202. The carbon emission data acquisition module 201 is connected to the data traceability and recording module 202. The carbon emission data acquisition module 201 includes production and manufacturing data of the low-carbon and environmentally friendly medium-voltage cable, cable transportation data, cable usage data, and... The carbon emission monitoring module 2 also includes a data processing module 203 and a data storage module 204. The output of the carbon emission data acquisition module 201 is electrically connected to the data processing module 203, and the output of the data processing module 203 is electrically connected to the data storage module 204. The carbon emission monitoring module 2 also includes a carbon footprint data management platform 205 and a data backup module 206. The output of the data storage module 204 is electrically connected to the carbon footprint data management platform 205, and the output of the carbon footprint data management platform 205 is electrically connected to the data backup module 206. The specific operation is as follows: The carbon emission data acquisition module 201 is used to collect data during the production and manufacturing process of low-carbon and environmentally friendly medium-voltage cables. This includes energy consumption of production equipment, emissions from chemical reactions involved in the production process, statistics on transportation data (including transportation methods and distances from the factory to the sales or usage location), data on the usage stage (such as power transmission losses during cable use), and data on waste disposal (such as carbon emissions during cable recycling, dismantling, landfilling, or incineration). This ensures that carbon emission factors at different stages are fully considered, and that various energy consumption and raw material costs are accounted for. The use of materials is converted into corresponding carbon emissions. The data traceability and recording module 202 can establish detailed records for each data point, including information such as collection time, location, equipment, and personnel, so as to trace and verify when needed. The data processing module 203 can screen, denoise, and fill missing values in the collected raw data to improve data quality. The carbon footprint data management platform 205 can share carbon footprint data with upstream and downstream enterprises in the supply chain. The data backup module 206 can regularly back up the carbon emission data of low-carbon and environmentally friendly medium-voltage cables to prevent data loss and restore the data in a timely manner when needed.
[0021] Please see Figure 1 The output of carbon emission monitoring module 2 is electrically connected to emission early warning module 3, and the output of emission early warning module 3 is electrically connected to carbon emission accounting module 4. The output of carbon emission accounting module 4 is electrically connected to carbon footprint evaluation module 5, the output of carbon footprint evaluation module 5 is electrically connected to carbon emission prediction module 6, and the output of carbon emission prediction module 6 is electrically connected to emission reduction decision making module 7. The specific operations are as follows: Emission early warning module 3 can set a carbon footprint threshold during the monitoring process. When carbon emissions exceed the threshold, the system automatically issues an early warning signal to remind relevant personnel to take measures for adjustment and control. Carbon emission accounting module 4 can calculate the carbon footprint of direct emission cables throughout their entire life cycle, from production and manufacturing to transportation, use and disposal, based on historical data from carbon emission monitoring module 2, using a combination of life cycle assessment and input-output analysis methods, and finally summarize the total carbon emissions. Carbon emission prediction module 6 can perform trend analysis on carbon footprint data based on historical carbon emission data, thereby predicting future carbon footprint trends. Emission reduction decision-making module 7 analyzes the carbon reduction potential and effect by comparing carbon footprint data from different schemes or different time periods, proposes targeted emission reduction strategies, including but not limited to optimizing production processes, adopting clean energy, improving transportation methods, and increasing cable lifespan, and further predicts and evaluates the implementation effect of emission reduction strategies to provide the best emission reduction decision.
[0022] Please see Figure 1 and Figure 4 The carbon footprint assessment module 5 includes an analysis and assessment module 501, a report generation module 502, and a carbon footprint visualization module 503. The output of the analysis and assessment module 501 is electrically connected to the report generation module 502, and the output of the report generation module 502 is electrically connected to the carbon footprint visualization module 503. The specific operation is as follows: the analysis and evaluation module 501 can analyze the calculation results, identify the corresponding carbon emission links and carbon emission data of the cable carbon footprint, compare it with the carbon footprint of the same industry standards or other similar products, evaluate the performance of the cable in terms of carbon emissions, and quantify it into specific values. The report generation module 502 can present the carbon footprint calculation results and the results of the analysis and evaluation module 501 in a clear and accurate report form, and automatically generate a carbon footprint report for the entire life cycle of the cable, including information such as total carbon emissions and the proportion of carbon emissions in each link. The carbon footprint visualization module 503 can display the distribution of the cable's carbon footprint at different stages in an intuitive form such as charts and maps, so as to quickly understand the carbon emission hotspots and links.
[0023] Please see Figure 1 and Figure 5 The output of the emission reduction decision-making module 7 is electrically connected to the emission reduction feedback module 8, and the emission reduction feedback module 8 includes an actual comparison module 801, an over-limit anomaly identification module 802 and an anomaly warning module 803. The output of the actual comparison module 801 is electrically connected to the over-limit anomaly identification module 802, and the output of the over-limit anomaly identification module 802 is electrically connected to the anomaly warning module 803. The specific operation is as follows: the emission reduction feedback module 8 is used to detect and provide feedback on the results after the decision-making module 7 is executed. The actual comparison module 801 can compare the actual carbon emission results of the emission reduction plan with the predicted results, and compare the actual carbon footprint with the predicted carbon footprint to identify the carbon footprint difference value. If there is excessive carbon emission, it will proceed to the next step. The excessive anomaly identification module 802 can identify abnormal factors that affect the excessive change of carbon footprint. The anomaly warning module 803 can adjust or warn about cable production based on the identification results of the excessive anomaly identification module 802, and feed back the abnormal factor identification results of carbon footprint to the cable carbon footprint research center 1.
[0024] The usage of the low-carbon and environmentally friendly medium-voltage cable carbon footprint research system includes the following specific steps: Step 1: Carbon emission monitoring is conducted through carbon emission monitoring module 2, which collects production and manufacturing data of low-carbon and environmentally friendly medium-voltage cables through carbon emission data acquisition module 201, processes and stores the data, and establishes a corresponding carbon footprint data management platform 205 to enable the sharing of carbon footprint data with upstream and downstream enterprises in the supply chain. At the same time, emission early warning module 3 can set carbon footprint thresholds during the monitoring process. When carbon emissions exceed the threshold, the system automatically issues an early warning signal to remind relevant personnel to take measures to adjust and control the emissions. Step 2: Next, the carbon emission accounting module 4 can calculate the carbon footprint of the direct emission cable throughout its entire life cycle, from production and manufacturing, transportation and use to disposal, based on the historical data of the carbon emission monitoring module 2, using the combined life cycle assessment method and input-output analysis method, and finally summarize the total carbon emissions. Step 3: Then, the analysis and evaluation module 501 of the carbon footprint assessment module 5 can analyze the accounting results. Next, the report generation module 502 can present the carbon footprint accounting results and the results of the analysis and evaluation module 501 in a clear and accurate report form. Then, the carbon footprint visualization module 503 can also display the distribution of the carbon footprint of the cable at different stages in an intuitive form such as charts and maps, so as to quickly understand the carbon emission hotspots and links. Step 4: The carbon emission prediction module 6 can use data analysis algorithms to perform trend analysis on carbon footprint data based on historical carbon emission data, thereby predicting the future trend of carbon footprint changes. Then, the emission reduction decision-making module 7 analyzes the carbon emission reduction potential and effect by comparing carbon footprint data of different schemes or different time periods, proposes targeted emission reduction strategies, and further predicts and evaluates the implementation effect of emission reduction strategies to give the best emission reduction decision. Step 5: After the emission reduction decision-making module 7 executes the decision, the emission reduction feedback module 8 detects and provides feedback on the results. The actual carbon emission results of the emission reduction plan are compared with the predicted results by the actual comparison module 801, and the actual carbon footprint is compared with the predicted carbon footprint to identify the carbon footprint difference value. If there is excessive carbon emission, the excessive anomaly identification module 802 identifies the abnormal factors affecting the excessive change of carbon footprint. Then, the anomaly warning module 803 can adjust or warn about the cable production based on the identification results of the excessive anomaly identification module 802, and feed back the abnormal factor identification results of the carbon footprint to the cable carbon footprint research center 1.
[0025] In summary, please refer to Figures 1-5 The carbon footprint research system and method for low-carbon and environmentally friendly medium-voltage cables are used in the following ways: First, carbon emission monitoring is conducted through the carbon emission monitoring module 2, which collects production, transportation, usage, and disposal data of the low-carbon and environmentally friendly medium-voltage cables through the carbon emission data acquisition module 201. Then, the data traceability and recording module 202 establishes detailed records for each data point, including information such as collection time, location, equipment, and personnel, so as to trace and verify when needed. Next, the data processing module 203 can screen, denoise, and fill missing values in the collected raw data to improve data quality. Then, the data storage module 204 of the cable carbon footprint research center 1 can store this processed data and establish a corresponding carbon footprint data management platform 205 to enable carbon footprint data to be shared with upstream and downstream enterprises in the supply chain. At the same time, the data backup module 206 can regularly back up the carbon emission data of the low-carbon and environmentally friendly medium-voltage cables to prevent data loss and restore the data in a timely manner when needed. In this process, the emission early warning module 3 can set a carbon footprint threshold during monitoring. When carbon emissions exceed the threshold, the system automatically issues an early warning signal to remind relevant personnel to take measures for adjustment and control. Then, the carbon emission accounting module 4, based on the combination of life cycle assessment and input-output analysis, calculates the carbon footprint of the direct emission cable throughout its entire life cycle, from production, transportation, use to disposal, in stages, according to historical data from the carbon emission monitoring module 2, and finally summarizes the total carbon emissions. Then, the analysis and evaluation module 501 of the carbon footprint evaluation module 5 can analyze the accounting results and identify the carbon footprint of the cable. The corresponding carbon emission links and carbon emission data of the cable are compared with the carbon footprint of the same industry standards or other similar products to evaluate the performance of the cable in terms of carbon emissions and quantify it into specific values. Then, the report generation module 502 can present the carbon footprint calculation results and the results of the analysis and evaluation module 501 in a clear and accurate report form, automatically generating a carbon footprint report for the entire life cycle of the cable, including information such as total carbon emissions and the proportion of carbon emissions in each link. Then, the carbon footprint visualization module 503 can also display the distribution of the cable's carbon footprint at different stages in an intuitive form such as charts and maps, so as to quickly understand the carbon emission hotspots and links. Next, the carbon emission prediction module 6, based on historical carbon emission data, uses data analysis algorithms to perform trend analysis on carbon footprint data, thereby predicting future carbon footprint changes. Then, the emission reduction decision-making module 7 analyzes the carbon reduction potential and effectiveness by comparing carbon footprint data from different schemes or different time periods, and proposes targeted emission reduction strategies, including but not limited to optimizing production processes, adopting clean energy, improving transportation methods, and increasing cable lifespan. It further predicts and evaluates the implementation effects of these emission reduction strategies to provide the optimal emission reduction decision. Finally, the emission reduction feedback module 8 can respond to the decisions made by the emission reduction decision-making module 7. The results are monitored and fed back. First, the actual comparison module 801 compares the actual carbon emission results of the emission reduction plan with the predicted results, and compares the actual carbon footprint with the predicted carbon footprint to identify the carbon footprint difference value. If there is excessive carbon emission, the excessive anomaly identification module 802 identifies the abnormal factors affecting the excessive change of carbon footprint. Then, the anomaly warning module 803 can adjust or warn about cable production based on the identification results of the excessive anomaly identification module 802, and feed back the abnormal factor identification results of carbon footprint to the cable carbon footprint research center 1. In this way, the entire process of using the low-carbon and environmentally friendly medium-voltage cable carbon footprint research system and method is completed.
[0026] The embodiments of the present invention are given for illustrative and descriptive purposes only, and are not intended to be exhaustive or to limit the invention to the forms disclosed. Many modifications and variations will be apparent to those skilled in the art. The embodiments were chosen and described in order to better illustrate the principles and practical application of the invention, and to enable those skilled in the art to understand the invention and to design various embodiments with various modifications suitable for a particular purpose.
Claims
1. A system for studying the carbon footprint of low-carbon and environmentally friendly medium-voltage cables, characterized in that, The system includes a cable carbon footprint research center (1), a carbon emission monitoring module (2), and a carbon emission prediction module (6). The input end of the cable carbon footprint research center (1) is electrically connected to the carbon emission monitoring module (2), and the carbon emission monitoring module (2) includes a carbon emission data acquisition module (201) and a data traceability recording module (202). The carbon emission data acquisition module (201) is connected to the data traceability recording module (202), and the data traceability recording module (202) is used to establish detailed records for each data point, including information such as collection time, location, equipment, and personnel, so as to trace and verify when needed. The output end of the carbon emission monitoring module (2) is electrically connected to an emission early warning module (3), and the output end of the emission early warning module (3) is electrically connected to... The carbon emission accounting module (4) is electrically connected to a carbon footprint evaluation module (5) at its output end. The carbon footprint evaluation module (5) is electrically connected to a carbon emission prediction module (6) at its output end. The carbon emission prediction module (6) is electrically connected to an emission reduction decision-making module (7) at its output end. The emission reduction decision-making module (7) is electrically connected to an emission reduction feedback module (8) at its output end. The emission reduction feedback module (8) includes an actual comparison module (801), an excess anomaly identification module (802), and an anomaly warning module (803). The actual comparison module (801) is electrically connected to an excess anomaly identification module (802) at its output end. The excess anomaly identification module (802) is electrically connected to an anomaly warning module (803) at its output end.
2. The low-carbon and environmentally friendly medium-voltage cable carbon footprint research system according to claim 1, characterized in that, The carbon emission data acquisition module (201) includes production and manufacturing data of low-carbon and environmentally friendly medium-voltage cables, cable transportation data, cable usage data, and waste disposal data.
3. The low-carbon and environmentally friendly medium-voltage cable carbon footprint research system according to claim 1, characterized in that, The carbon emission monitoring module (2) further includes a data processing module (203) and a data storage module (204). The output end of the carbon emission data acquisition module (201) is also electrically connected to the data processing module (203), and the output end of the data processing module (203) is electrically connected to the data storage module (204). The data processing module (203) is used to screen, denoise, fill missing values, and perform other processing on the collected raw data to improve data quality.
4. The low-carbon and environmentally friendly medium-voltage cable carbon footprint research system according to claim 3, characterized in that, The carbon emission monitoring module (2) also includes a carbon footprint data management platform (205) and a data backup module (206). The output end of the data storage module (204) is electrically connected to the carbon footprint data management platform (205), and the output end of the carbon footprint data management platform (205) is electrically connected to the data backup module (206). The carbon footprint data management platform (205) is used to share carbon footprint data with upstream and downstream enterprises in the supply chain. The data backup module (206) is used to regularly back up the carbon emission data of low-carbon and environmentally friendly medium-voltage cables to prevent data loss and to restore the data in a timely manner when needed.
5. The carbon footprint research system for low-carbon and environmentally friendly medium-voltage cables according to claim 1, characterized in that, The emission early warning module (3) is used to set the threshold of carbon footprint during the monitoring process. When the carbon emission exceeds the threshold, the system will automatically issue an early warning signal to remind relevant personnel to take measures to adjust and control. The carbon emission accounting module (4) is used to calculate the carbon footprint of the direct emission cable from production, transportation, use to disposal in stages based on the historical data of the carbon emission monitoring module (2) and the combined life cycle assessment method and input-output analysis method. Finally, the total carbon emission is summarized.
6. The carbon footprint research system for low-carbon and environmentally friendly medium-voltage cables according to claim 1, characterized in that, The carbon footprint evaluation module (5) includes an analysis and evaluation module (501), a report generation module (502), and a carbon footprint visualization module (503). The output end of the analysis and evaluation module (501) is electrically connected to the report generation module (502), and the output end of the report generation module (502) is electrically connected to the carbon footprint visualization module (503).
7. The low-carbon and environmentally friendly medium-voltage cable carbon footprint research system according to claim 6, characterized in that, The analysis and evaluation module (501) is used to analyze the accounting results, identify the corresponding carbon emission links and carbon emission data of the cable carbon footprint, compare them with the carbon footprint of the same industry standards or other similar products, evaluate the performance of the cable in terms of carbon emissions, and quantify them into specific values. The report generation module (502) is used to present the carbon footprint accounting results and the results of the analysis and evaluation module (501) in a clear and accurate report form, and automatically generate a carbon footprint report for the entire life cycle of the cable, including information such as total carbon emissions and the proportion of carbon emissions in each link. The carbon footprint visualization module (503) is used to display the distribution of the cable's carbon footprint at different stages in an intuitive form such as charts and maps, so as to quickly understand the carbon emission hotspots and links.
8. The carbon footprint research system for low-carbon and environmentally friendly medium-voltage cables according to claim 1, characterized in that, The carbon emission prediction module (6) is used to perform trend analysis on carbon footprint data based on historical carbon emission data and using data analysis algorithms to predict the future trend of carbon footprint changes. The emission reduction decision-making module (7) analyzes the carbon emission reduction potential and effect by comparing carbon footprint data of different schemes or different time periods, and proposes targeted emission reduction strategies, including but not limited to optimizing production processes, adopting clean energy, improving transportation methods, and increasing the service life of cables. Furthermore, it predicts and evaluates the implementation effect of emission reduction strategies to give the best emission reduction decision.
9. The carbon footprint research system for low-carbon and environmentally friendly medium-voltage cables according to claim 1, characterized in that, The actual comparison module (801) is used to compare the actual carbon emission results of the emission reduction plan with the predicted results, and compare the actual carbon footprint with the predicted carbon footprint to identify the carbon footprint difference value. If there is excessive carbon emission, it will proceed to the next step. The excessive anomaly identification module (802) is used to identify abnormal factors that affect the excessive change of carbon footprint. The anomaly warning module (803) is used to adjust or warn about cable production based on the identification results of the excessive anomaly identification module (802), and feed back the abnormal factor identification results of carbon footprint to the cable carbon footprint research center (1).
10. A low-carbon and environmentally friendly medium-voltage cable carbon footprint research system according to any one of claims 1-9, characterized in that, The method of using the low-carbon and environmentally friendly medium-voltage cable carbon footprint research system includes the following specific steps: Step 1: Conduct carbon emission monitoring through the carbon emission monitoring module (2), so that the carbon emission data acquisition module (201) collects the production and manufacturing data of low-carbon and environmentally friendly medium-voltage cables, performs data processing and data storage, and establishes a corresponding carbon footprint data management platform (205) so that it can share carbon footprint data with upstream and downstream enterprises in the supply chain. At the same time, the emission early warning module (3) can set the carbon footprint threshold during the monitoring process. When the carbon emission exceeds the threshold, the system will automatically issue an early warning signal to remind relevant personnel to take measures to adjust and control. Step 2: Next, the carbon emission accounting module (4) is able to calculate the carbon footprint of the direct emission cable throughout its entire life cycle, from production and manufacturing, transportation and use to disposal, based on the historical data of the carbon emission monitoring module (2) and the combined life cycle assessment method and input-output analysis method, and finally summarize the total carbon emissions. Step 3: Then the analysis and evaluation module (501) of the carbon footprint assessment module (5) can analyze the accounting results. Then the report generation module (502) can present the carbon footprint accounting results and the results of the analysis and evaluation module (501) in a clear and accurate report form. Then the carbon footprint visualization module (503) can also display the distribution of the carbon footprint of the cable at different stages in an intuitive form such as charts and maps, so as to quickly understand the carbon emission hotspots and links. Step 4: The carbon emission prediction module (6) can use data analysis algorithms to perform trend analysis on carbon footprint data based on historical carbon emission data, thereby predicting the future trend of carbon footprint changes. Then, the emission reduction decision-making module (7) analyzes the carbon emission reduction potential and effect by comparing carbon footprint data of different schemes or different time periods, proposes targeted emission reduction strategies, and further predicts and evaluates the implementation effect of emission reduction strategies in order to give the best emission reduction decision. Step 5: The emission reduction feedback module (8) performs the result detection feedback after the decision is made by the emission reduction decision-making module (7). The actual carbon emission result of the emission reduction plan is compared with the predicted result by the actual comparison module (801), and the actual carbon footprint is compared with the predicted carbon footprint to identify the carbon footprint difference value. If there is excessive carbon emission, the abnormal factors affecting the excessive change of carbon footprint are identified by the excessive anomaly identification module (802). Then, the anomaly warning module (803) can adjust or warn the cable production according to the identification result of the excessive anomaly identification module (802), and feed back the abnormal factor identification result of the carbon footprint to the cable carbon footprint research center (1).