Multi-dimensional energy carbon data visual display method and system and storage medium

Abstract

The invention relates to the technical field of data processing and visualization, and discloses a multi-dimensional energy-carbon data visualization display method and system and a storage medium, and the method comprises the steps: achieving the collection and screening of multi-field energy-carbon index data through building a cross-department cooperation mechanism; constructing a three-dimensional analysis system model including macroscopic industry, mesoscopic industry and microcosmic enterprises; carrying out convergence integration and check processing on the multi-source data by adopting a standardized process; and finally, a multi-dimensional visual interface integrating trend analysis, structure decomposition and comprehensive evaluation functions is generated based on a dynamic algorithm. According to the method, multi-dimensional correlation analysis of energy carbon data from microcosmic to macroscopic is innovatively realized, and the relationship between the carbon emission characteristics and the energy efficiency of different hierarchy main bodies is visually displayed through a visualization technology.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing and visualization, and particularly relates to a multi-dimensional energy-carbon data visualization display method and system and a storage medium. BACKGROUND

[0002] The management of urban energy-carbon data faces multi-dimensional technical challenges. The current system has the core problems of low data integration and single display dimension: on the one hand, the data in the fields of industry, transportation, and construction are heterogeneous in format and non-uniform in standard, making it difficult to form a standardized data set across fields; on the other hand, existing visualization solutions mostly use static reports or basic charts, which cannot reflect the characteristics of industry segmentation (such as the differences in energy use between industry, commerce, and residents), and cannot support the customized analysis needs of different subjects such as government departments, enterprises, and research institutions. More importantly, most systems use batch processing update mode, which cannot reflect the dynamic changes of urban energy-carbon in real time, seriously affecting the timeliness of decision-making.

[0003] Existing technologies mainly process energy-carbon data in two ways: one is to use general business intelligence tools to generate aggregated charts, which only display total data at the city level and lack of sub-dimension; the other is to develop special monitoring platforms, which can display some industry data, but have defects such as insufficient analysis depth (e.g., no cross-dimensional correlation model is established) and data update delay (usually in monthly / quarterly cycles). These technical solutions generally use relational database storage structures, which have poor compatibility with semi-structured energy-carbon data, and the visualization module and data analysis module have high coupling, which limits the scalability of the system.

[0004] Through analysis, the existing technology has three significant defects: (1) at the data level, due to the lack of a unified data governance framework, the quality of data in different fields varies, leading to a decrease in the reliability of analysis results; (2) at the functional level, the single display mode cannot meet the differentiated needs of government regulation, enterprise carbon accounting, academic research, etc.; (3) at the timeliness level, the traditional ETL data processing process causes at least 24 hours of data delay, which cannot support real-time decision-making. These problems seriously hinder the precise control of the urban carbon neutralization process.

[0005] In summary, there is an urgent need to build a technical system that integrates multi-source heterogeneous data processing, intelligent dimension analysis, and real-time visualization. The present patent technology is aimed at the above-mentioned pain points, and through an innovative data middle platform architecture and a configurable visualization engine, it realizes the full-link optimization of energy-carbon data from collection to decision support. SUMMARY

[0006] The present application aims to solve the problems of single data dimension, integration difficulty, inability to meet diversified needs, and data update lag in existing urban energy-carbon data display methods, and to realize the efficient integration and sub-block visualization display of multi-dimensional energy-carbon data.

[0007] The present application is realized by the following technical solutions: In a first aspect, the present application provides a multi-dimensional energy-carbon data visualization display method, which comprises: S1: Establish a cross-department collaboration mechanism, collect and screen energy-carbon index data in multiple fields; S2: Based on the energy-carbon index data, construct an analysis system model comprising three dimensions of macro-industrial plate layer, meso-key industry plate layer and micro-key enterprise plate layer, and determine the data relied on by each index calculation in each dimension system model; S3: Based on the data relied on by each index calculation in each dimension system model, regularly upload the energy-carbon index data of each unit subject, gather and integrate the energy-carbon data, and use the established standards and rules to perform data checking processing on the gathered and integrated energy-carbon index data, to obtain processed energy-carbon index data; S4: Based on the processed energy-carbon index data, calculate the energy-carbon index of different dimension classification subjects according to the established algorithm to obtain visualized indexes, generate a multi-dimensional dynamic display interface according to the visualized indexes, and integrate trend analysis, structure decomposition and comprehensive evaluation functions.

[0008] Further, in S1, the multi-field energy-carbon index data specifically includes low-carbon development, low-carbon energy, zero-carbon building, zero-carbon transportation, circular development and operation management field energy-carbon index data.

[0009] Further, in S2, the analysis system model comprising three dimensions of macro-industrial plate layer, meso-key industry plate layer and micro-key enterprise plate layer is constructed based on the energy-carbon index data, and the data relied on by each index calculation in each dimension system model is determined, which specifically includes: S201: Divide the energy-carbon index data according to the three dimensions of industrial plate, key industry plate and key enterprise plate to obtain industrial dimension data, industry dimension data and enterprise dimension data; S202: Obtain the design requirements of the three parts of industrial plate, key industry plate and key enterprise plate, and perform classification design based on the industrial dimension data, industry dimension data and enterprise dimension data to realize a three-dimensional visualization display architecture model; S203: According to the design requirements, sort out and determine the data relied on by each dimension index calculation of the three-dimensional visualization display architecture model, to provide clear data requirement guidance for subsequent data collection, processing and display.

[0010] Further, in S201, The industrial dimension data focuses on the energy and carbon situation of the whole industrial sector, and is used for macro overview of energy consumption and carbon emissions of the industrial sector in the year, including industrial output value, energy consumption per unit of output value, carbon emission index, and monthly change trend; The industry dimension data is used for analyzing the energy consumption structure and carbon emission source structure of representative and influential industries, and showing the change trend over time, wherein the representative and influential industries include but are not limited to computer, communication and other electronic equipment manufacturing industry; The enterprise dimension data is used for monitoring and managing the energy and carbon performance of key enterprises, providing enterprise list and industry information, showing monthly energy consumption and carbon emission of the enterprise, and low-carbon development index and comprehensive evaluation.

[0011] Further, in S202, the design requirements of the industrial block, key industry block, and key enterprise block include display index and interface design requirements, specifically: The industrial block design requirements include macroeconomic and energy consumption correlation display, which needs to present monthly data and growth trend of industrial output value, and simultaneously display corresponding energy consumption per unit of output value and carbon emission index; total trend dynamic presentation, which displays monthly changes of total energy consumption and total carbon emission of the industrial sector in dynamic charts; The key industry block design requirements include energy structure analysis, which needs to display energy consumption structure of key industries through pie chart and stacked column chart; emission source tracing, which presents carbon emission source structure through similar charts to clearly show the proportion of carbon emission generated by each link or energy use; monthly trend tracking, which compares monthly energy consumption intensity and carbon emission intensity of key industries through line chart or column chart; The key enterprise block design requirements include enterprise list and basic information, which lists key enterprise names and displays basic information of the industry; energy consumption and emission monthly comparison, which compares monthly total energy consumption and carbon emission of the enterprise through double-axis column chart, and simultaneously presents comparison with the average level of the same industry; low-carbon index and comprehensive evaluation, which displays low-carbon development index values of photovoltaic and energy storage of the enterprise, and conducts comprehensive evaluation of low-carbon development of the enterprise through radar chart.

[0012] Further, in S3, the established standards and rules are as follows: 81 standard reporting templates are designed according to the responsibilities of each unit in regional energy and carbon management and the data to be provided, which are used to standardize data format and content requirements; wherein the standard reporting templates clearly define data name and code, and specify reporting frequency, which guarantees the standardization and consistency of data from the source, and lays a solid foundation for subsequent data calculation and analysis; Further, the use of established standards and rules, data checking processing of the convergence and integration of carbon index data, the purpose is to identify the accuracy, integrity and compliance of the data, find and correct errors or abnormalities in the data, ensure the reliability of the data for multi-dimensional analysis and sub-block visualization display; Specific data checking includes: Check the document name, the month of the year, the uploading unit, the uploading time and the audit status; Check the enterprise name, organization code and specific data of output value; Check if the collection object, enterprise list update method, collection frequency and data format meet the requirements.

[0013] Further, in S4, the multi-dimensional dynamic display interface is generated according to the visualization index, which integrates trend analysis, structure decomposition and comprehensive evaluation function, and the energy and carbon data collected, checked and calculated is displayed in the form of index on the three-dimensional analysis system model to present to the user; Further, the index form is displayed on the three-dimensional analysis system model to present to the user, which is to display the industrial plate index, key industry index and key enterprise index, to comprehensively evaluate the low-carbon development of enterprises and comprehensively evaluate the low-carbon development level of enterprises; wherein: The industrial plate index display includes unit output value energy consumption and carbon emission display and energy consumption and carbon emission overview display; The key industry plate index display includes energy consumption structure display, carbon emission source structure display and monthly trend display; The key enterprise plate index display includes enterprise list and basic information display, energy consumption and carbon emission monthly display, and low-carbon development index and comprehensive evaluation display.

[0014] In the second aspect of the present application, a multi-dimensional energy and carbon data visualization display system is provided, which comprises: A data collection module is used to establish a cross-departmental collaboration mechanism to collect and filter energy and carbon index data from multiple field data sources; A model building module is used to build a three-dimensional analysis system model including macro-industrial plate, medium-key industry plate and micro-key enterprise plate based on the energy and carbon index data, and determine the data rules relied on for calculating each dimension index; A data processing module is used to regularly receive energy and carbon data uploaded by each unit subject, and generate checked energy and carbon index data set through convergence and integration and standardized checking rules; A visualization engine module is used to calculate multi-dimensional visualization indexes through a preset algorithm based on the checked data, and generate a dynamic display interface integrating trend analysis, structure decomposition and comprehensive evaluation function.

[0015] In a third aspect, the present application provides a computer storage medium having stored thereon a computer program / instructions, which, when executed by a processor, implement a multi-dimensional energy-carbon data visualization display method according to the first aspect of the present application.

[0016] Compared with the prior art, the present application has the following advantages: 1. Multi-dimensional sub-block index system construction, according to the characteristics of urban energy-carbon data, the energy-carbon index is innovatively divided into multiple blocks, and each block covers different dimensional indexes; 2. Data processing flow based on accurate data requirements, the data required for calculating each index is clear, the data collection, checking and calculation flow is standardized, and the data quality is ensured; 3. Visualization display design, a dedicated visualization method is designed for different blocks, and diversified charts and interactive operations are used to meet diversified requirements.

[0017] Other features and advantages of the present application will be described in the following specification, and some will become apparent from the specification, or will be understood by those skilled in the art. The purpose and other advantages of the present application can be achieved and obtained by the structure indicated in the specification, claims and drawings. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creative labor.

[0019] Figure 1 It is a flowchart of a multi-dimensional energy-carbon data sub-block visualization display method. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical scheme and advantages of the embodiments of the present application more clear, the technical scheme in the embodiments of the present application will be clearly and completely described in the following with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0021] In an embodiment, please refer to Figure 1 , a multi-dimensional energy-carbon data sub-block visualization display method for a city is provided, which comprises the following steps: Step S1: Establish a cross-departmental collaboration mechanism to collect and screen multi-field energy-carbon indicator data; Further, in the present embodiment, the multi-field energy-carbon indicator data specifically includes low-carbon development, low-carbon energy, zero-carbon building, zero-carbon transportation, circular development, and operation management fields, and the energy-carbon indicator data corresponding to each field is shown in Table 1.

[0022] Table 1: Energy-carbon indicator data

[0023] Step S2: Based on the energy-carbon indicator data, an analysis system model is constructed including three dimensions of macro-industrial plateaus, medium-key industry plateaus, and micro-key enterprise plateaus, and data relied on for calculation of indicators in each dimension system model is determined; Further, in step S2, based on the energy-carbon indicator data, an analysis system model is constructed including three dimensions of macro-industrial plateaus, medium-key industry plateaus, and micro-key enterprise plateaus, and data relied on for calculation of indicators in each dimension system model is determined, specifically including the following steps: Step S201: The energy-carbon indicator data is divided according to three dimensions of industrial plateaus, key industry plateaus, and key enterprise plateaus to obtain industrial dimension data, industry dimension data, and enterprise dimension data, laying a foundation for subsequent customized data processing and visual display; Further, in step S201, the industrial dimension data focuses on the energy-carbon situation of the industrial sector as a whole, and is used for macro overview of energy consumption and carbon emissions of the industrial industry in the current year, including industrial output value, energy consumption per unit of output value, carbon emission indicators, and monthly change trend; The industry dimension data is used to analyze the energy consumption structure and carbon emission source structure of representative and important influential industries, and to show the change trend over time, wherein the representative and important influential industries include but are not limited to computer, communication and other electronic equipment manufacturing industry; The enterprise dimension data is used to monitor and manage the energy-carbon performance of key enterprises, provides enterprise list and information of the town and industry to which the enterprise belongs, and shows monthly energy consumption and carbon emission of the enterprise, as well as low-carbon development indicators and comprehensive evaluation.

[0024] Step S202: Obtain design requirements of the three parts of industrial plateaus, key industry plateaus, and key enterprise plateaus, and based on the industrial dimension data, industry dimension data, and enterprise dimension data, classify and design to realize a three-dimensional visual display architecture model; Further, in step S202, the design requirements of the industrial plate, key industry plate, and key enterprise plate include display indicators and interface design requirements, specifically: The industrial plate design requirements include macroeconomic and energy consumption correlation display, which needs to present monthly data of industrial output value and growth trend, and simultaneously display corresponding unit energy consumption and carbon emission indicators, directly reflecting the relationship between industrial economic development and energy consumption and carbon emission; total trend dynamic presentation, which needs to display the monthly changes of industrial sector energy consumption and carbon emission total amount in dynamic charts; The key industry plate design requirements include energy structure analysis, which needs to display the energy consumption structure of key industries such as coal, electricity, and heat through pie charts and stacked column charts, clearly presenting the industry's energy dependence; emission source tracing, which presents the carbon emission source structure using similar charts, clearly showing the proportion of carbon emissions generated by each link or energy use, helping industries to target emission reduction; monthly trend tracking, which compares the energy consumption intensity and carbon emission intensity of key industries each month using line charts or column charts; The key enterprise plate design requirements include enterprise list and basic information, which lists key enterprises and displays their district, town, and industry basic information, facilitating users to quickly locate and filter concerned enterprises; energy consumption and emission monthly comparison, which compares the monthly energy consumption and carbon emission of enterprises using double-axis column charts, and presents the comparison with the average level of the same industry, directly reflecting the energy and carbon performance of enterprises in the industry; low-carbon indicators and comprehensive evaluation, which displays the low-carbon development indicators of enterprises such as photovoltaic and energy storage, and conducts comprehensive evaluation of enterprise low-carbon development through radar charts.

[0025] Step S203: According to the design requirements, the data relied on by the calculation of the indicators of the three-dimensional visualization display architecture model is sorted out and determined, providing clear data requirement guidance for subsequent data collection, processing, and display.

[0026] Step S3: Based on the data relied on by the calculation of the indicators in each dimension system model, regularly upload the energy and carbon data of each unit subject, integrate the energy and carbon data, and use the established standards and rules to process the integrated energy and carbon indicator data, obtaining processed energy and carbon indicator data; Further, the established standards and rules are as follows: According to the responsibilities of each unit in regional energy and carbon management and the data to be provided, 81 standard reporting templates are designed to standardize data format and content requirements; The standard reporting template clearly defines data name, code, and specifies reporting frequency, ensuring data standardization and consistency from the source, laying a solid foundation for subsequent data calculation and analysis; Further, the utilization of established standards and rules, data checking processing of the integrated carbon index data, the purpose is to identify the accuracy, integrity and compliance of the data, find and correct the errors or abnormalities in the data, ensure the reliability of the data for multi-dimensional analysis and sub-block visualization display; Specific data checking includes: Check the document name, the month of the year, the uploading unit, the uploading time and the audit status; Check the enterprise name, organization code and specific data of output value; Check the collection object, enterprise list update method, collection frequency and data format to see if they meet the requirements.

[0027] Step S4: Based on the processed carbon index data, the carbon index of different dimension classification subjects is calculated according to the established algorithm to obtain visual index, and a multi-dimensional dynamic display interface is generated according to the visual index, integrating trend analysis, structure decomposition and comprehensive evaluation functions.

[0028] Further, in step S4, the carbon index of different dimension classification subjects is calculated to obtain visual index, which is specifically calculated for the dimensions of industrial plate, key industry plate and key enterprise plate; Further, according to the visual index, a multi-dimensional dynamic display interface is generated, integrating trend analysis, structure decomposition and comprehensive evaluation functions, which is to display the carbon data collected, checked and calculated in the form of index on the three-dimensional analysis system model to the user; The index is divided into three parts: industrial plate, key industry and key enterprise, wherein: The industrial plate mainly displays: unit energy consumption and carbon emission display, through the form of table and chart combination, it displays the industrial value of above scale industry (monthly) and the energy consumption of above scale industrial enterprises (annual) data, and then presents the unit energy consumption and unit carbon emission index of above scale industry, at the same time, it calculates and displays the monthly energy consumption and monthly carbon emission data of the top 6 high energy-consuming industries and above scale industry, helping users clearly understand the energy consumption and carbon emission level of industrial industry in the process of value creation, as well as the specific energy consumption and emission of high energy-consuming industries; Energy consumption and carbon emission overview display, in the form of chart, it displays the overall situation of energy consumption and carbon emission of industrial department in the year, including the related data of gross regional product, which is presented according to the monthly statistical data of above scale industrial value by industry; The key industry plate mainly displays: energy consumption structure display, using pie chart, stacked column chart visualization, detailed display of key industries such as computer, communication and other electronic equipment manufacturing industry, the proportion of different energy (such as coal, coke, oil, natural gas, electricity, heat) in the total energy consumption; carbon emission source structure display, using similar chart form, presenting the source structure of carbon emission of key industries, clearly showing the proportion of carbon emission of each link (such as different energy use link) in the total emission; monthly trend display, through line chart or column chart to compare the energy consumption intensity and carbon emission intensity of key industries every month, directly reflecting the fluctuation and development trend of energy carbon index with time; The key enterprise plate mainly displays: enterprise list and basic information display, presenting the list of key enterprises in the form of list, and displaying the basic information of the enterprises belonging to the town and the industry, so as to facilitate users to quickly filter and locate the concerned enterprises and understand the distribution and industry attribution of key enterprises; energy consumption and carbon emission monthly display, using double-axis column chart visualization means to compare the monthly total energy consumption (in tons of standard coal) and carbon emission (in tons of carbon dioxide) of key enterprises, and compare with the average monthly energy consumption and carbon emission level of the same industry, so that enterprises can clearly know their energy carbon performance position in the industry, and promote enterprises to take measures to reduce energy consumption and emission; low carbon development index and comprehensive evaluation display, displaying the low carbon development index value of photovoltaic installation and energy storage installation of enterprises, directly presenting the measures and results of enterprises in the use of renewable energy. Through radar chart form, the low carbon development of enterprises is comprehensively evaluated, covering energy intensity, carbon emission intensity, green electricity procurement quantity, and the low carbon development level of enterprises is comprehensively evaluated.

[0029] In an embodiment, the present application also provides a multi-dimensional energy carbon data visualization display system, which comprises: A data collection module is used to establish a cross-departmental collaboration mechanism, collect and filter energy carbon index data from multi-field data sources; A model building module is used to build a three-dimensional analysis system model including macro-industrial plate, medium key industry plate and micro key enterprise plate based on the energy carbon index data, and determine the data rules relied on for calculating each dimension index; A data processing module is used to regularly receive energy carbon data uploaded by each unit subject, generate energy carbon index data set after verification through aggregation, integration and standardization verification rules; A visualization engine module is used to calculate multi-dimensional visualization indexes through preset algorithm according to the verified data, and generate a dynamic display interface integrating trend analysis, structure decomposition and comprehensive evaluation functions.

[0030] In an embodiment, a computer storage medium is provided, which stores computer programs / instructions, when the computer programs / instructions are executed by a processor, a multi-dimensional energy carbon data visualization display method as described in the embodiments of the present application is implemented.

[0031] Although the present application is described in detail with reference to the foregoing embodiments, it should be understood that the technical solutions recorded in the foregoing embodiments can be modified, or some of the technical features can be replaced by equivalents, without departing from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for visually displaying multi-dimensional energy and carbon data of a city in sections, characterized by: The method comprises: Establish a cross-departmental collaboration mechanism to collect and screen energy and carbon indicator data in multiple fields; Based on energy and carbon index data, we construct an analytical system model with three dimensions: macro-industrial sector level, meso-key industry sector level, and micro-key enterprise sector level. At the same time, we determine the data relied upon when calculating each indicator in each dimensional system model. Based on the data relied upon when calculating each indicator in each dimensional system model, regularly upload the energy and carbon indicator data of each unit, aggregate and integrate the energy and carbon data, and use established standards and rules to perform data verification processing on the aggregated and integrated energy and carbon indicator data to obtain the processed energy and carbon indicator data; Based on the processed energy-carbon index data, the energy-carbon index of entities classified in different dimensions are calculated according to the established algorithm to obtain visualization indicators. A multi-dimensional dynamic display interface is generated according to the visualization indicators, integrating trend analysis, structural decomposition and comprehensive evaluation functions.

2. The method for visually displaying multi-dimensional energy and carbon data of a city by section according to claim 1, characterized in that: Based on the energy-carbon index data, an analysis system model with three dimensions is constructed, including the macro-industrial sector level, the meso-key industry sector level, and the micro-key enterprise sector level. At the same time, the data relied on when calculating each indicator in each dimensional system model is determined, including: The energy-carbon index data is divided into three dimensions: industrial sector, key industry sector, and key enterprise sector, to obtain industrial dimension data, industry dimension data, and enterprise dimension data; Obtain design requirements for the industrial sector, key industry sector, and key enterprise sector, and conduct classification design based on industrial dimension data, industry dimension data, and enterprise dimension data to achieve a three-dimensional visual display architecture model; Based on the design requirements, the data relied upon for the calculation of each dimensional indicator of the three-dimensional visualization display architecture model is sorted out and determined, providing clear data requirement guidance for subsequent data collection, processing and display.

3. The method for visually displaying multi-dimensional energy and carbon data of a city by section as claimed in claim 2, characterized in that: The industrial dimension data focuses on the overall energy and carbon situation of the industrial sector, including industrial output value, energy consumption per unit of output value, and carbon emission indicators above designated size; The industry-dimensional data is used to analyze the energy consumption structure and carbon emission source structure of representative and influential industries, including data on the computer, communications, and other electronic equipment manufacturing industries; The enterprise-dimensional data is used to monitor and manage the energy and carbon performance of key enterprises, including the list of enterprises and information on their respective districts, towns, and industries.

4. The method for visually displaying multi-dimensional energy and carbon data of a city by section as claimed in claim 2, characterized in that: The design requirements for the industrial sector, key industry sector, and key enterprise sector all include display indicators and interface design requirements, specifically: The design requirements for the industrial sector include the correlation between macroeconomics and energy consumption. The monthly data and growth trends of industrial output value above designated size must be presented, along with the corresponding energy consumption per unit of output value and carbon emission indicators. Dynamic presentation of total trends is required, with dynamic charts showing the monthly changes in total energy consumption and carbon emissions in the industrial sector. Key industry sector design requirements include energy structure analysis, which requires displaying the energy consumption structure of key industries through pie charts and stacked bar charts; emission source tracing, which uses similar charts to present the carbon emission source structure and clarify the carbon emission proportion generated by each link or energy use; and monthly trend tracking, which uses line charts or bar charts to compare the monthly energy consumption intensity and carbon emission intensity of key industries; The design requirements of the key enterprise section include enterprise lists and basic information, listing the list of key enterprises, and displaying the basic information of the districts, towns and industries to which they belong; monthly comparison of energy consumption and emissions, comparing the total monthly energy consumption and carbon emissions of enterprises in the form of a dual-axis bar chart, and presenting a comparison with the average level of the same industry; low-carbon indicators and comprehensive evaluation, showing the low-carbon development indicator values ​​of the enterprise's photovoltaic installed capacity and energy storage installed capacity, and conducting a comprehensive evaluation of the enterprise's low-carbon development through radar charts.

5. The method for visually displaying multi-dimensional energy and carbon data of a city by section according to claim 1, characterized in that: The data verification process of the aggregated energy-carbon index data using established standards and rules is to identify the accuracy, completeness and compliance of the data, and to discover and correct errors or anomalies in the data. The data verification includes: Verify the document name, year and month, uploading unit, uploading time and review status; Check the company name, organization code and specific data of output value; Check whether the collection objects, enterprise list update methods, collection frequency and data format meet the requirements.

6. The method for visually displaying multi-dimensional energy and carbon data of a city by section as claimed in claim 5, characterized in that: The established standards and rules are specifically designed based on the responsibilities of each unit in regional energy and carbon management and the data to be provided, and a standard reporting template is designed to standardize the data format and content requirements, among which: The standard reporting template specifies the data name and code, and stipulates the reporting frequency, ensuring the standardization and consistency of data from the source.

7. The method for visually displaying multi-dimensional energy and carbon data of a city by section according to claim 1, characterized in that: The multi-dimensional dynamic display interface is generated based on visualization indicators, integrating trend analysis, structural decomposition and comprehensive evaluation functions, and presenting the collected, verified and calculated energy and carbon data to users in the form of indicators on a three-dimensional analysis system model. The indicator display includes the display of industrial sector indicators, key industry indicators and key enterprise indicators.

8. The method for visually displaying multi-dimensional energy and carbon data of a city by section as claimed in claim 7, characterized in that: The industrial sector indicator display includes energy consumption and carbon emissions per unit of output value and an overview of energy consumption and carbon emissions; The key industry sector indicators display, including energy consumption structure display, carbon emission source structure display and monthly trend display; The key enterprise sector indicator display includes enterprise list and basic information display, monthly energy consumption and carbon emissions display, and low-carbon development indicators and comprehensive evaluation display.

9. A multi-dimensional energy and carbon data visualization display system, characterized in that: The system comprises: Data collection module, used to establish a cross-departmental collaboration mechanism and collect and filter energy and carbon indicator data from multiple data sources; A model building module is used to construct a three-dimensional analysis system model based on the energy and carbon index data, including the macro-industrial sector, the meso-key industry sector, and the micro-key enterprise sector, and to determine the data rules relied upon when calculating the indicators in each dimension; The data processing module is used to regularly receive energy and carbon data uploaded by various entities, and generate a verified energy and carbon indicator data set through aggregation, integration and standardized verification rules; The visualization engine module is used to calculate multi-dimensional visualization indicators based on the verified data through preset algorithms, and generate a dynamic display interface that integrates trend analysis, structural decomposition and comprehensive evaluation functions.

10. A computer-readable storage medium having a computer program / instruction stored thereon, characterized in that: When the computer program / instructions are executed by a processor, a multi-dimensional energy-carbon data visualization method according to any one of claims 1 to 8 is implemented.

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