Clean energy technology achievement display method and system

Abstract

The invention discloses a clean energy technology achievement display method and system, and the method comprises the steps: drawing a core index of a clean energy technology achievement into an interactive graph through a preset clean energy field exclusive visual assembly, and carrying out the display according to the demands of a user; the visualization component comprises a technology maturity radar map component, a clean energy industry chain map component and a result conversion full-link progress map component; respectively calculating scores between the technical achievements and demands from a plurality of matching dimensions, calculating a total score in combination with the weight of each matching dimension, drawing a multi-dimensional flow chart according to basis information for calculating the total score, displaying the multi-dimensional flow chart on a user side, and performing recommendation sorting on the technical achievements according to the total score; and loading a function view corresponding to the core user role based on a routing guard and a component lazy loading mechanism. Through the method, the visualization dimension can be enriched, the user can obtain the matching basis and customize the special view of the role, and the conversion decision efficiency is improved.

Description

Technical Field

[0001] This application relates to the field of technology transfer, specifically to a method and system for demonstrating clean energy technology achievements. Background Technology

[0002] Existing technologies have developed a results matching function supported by the "Wise One" large model, which has the ability to build enterprise profiles and analyze technical requirements, and can achieve preliminary matching between results and requirements. Its online platform displays basic data such as results, requirements, and experts, but can only display basic information such as result name and field. The visualization format is mainly "list + basic charts (bar chart, pie chart)", with a single visualization dimension. It has not designed a special interaction and field-friendly presentation format for the business characteristics of the clean energy field (such as hydropower, pumped storage, new energy, and ecological environmental protection), making it difficult for users to quickly judge the technical feasibility and industrial adaptability of the results. The AI ​​matching logic is opaque and lacks a visual explanation mechanism. Although it can recommend matching items between results and needs, it does not show the matching basis to users. For example, when a photovoltaic inverter optimization technology is matched with the needs of a power station, the matching dimensions cannot be presented intuitively. Users need to manually consult a large number of documents to verify the rationality of the matching, which increases the cost of conversion decision-making. The needs of multi-role interaction are not met, and there is a lack of role-customized views. The conversion of results involves multiple roles such as technical managers, engineers, and decision-makers, but the existing technology uses a general interface and does not design exclusive views for different roles. Users need to filter the required view content from a large amount of irrelevant information, resulting in low interaction efficiency. Summary of the Invention

[0003] This application provides a method and system for displaying clean energy technology achievements, which can solve the technical problems of existing achievement display technologies, such as single visualization dimension, opaque AI matching logic, and lack of customized view for roles.

[0004] To achieve the above objectives, in a first aspect, this application provides a method for demonstrating clean energy technology achievements, the method comprising: Through pre-set visualization components specifically designed for the clean energy sector, the core indicators of clean energy technological achievements are drawn into interactive graphics and displayed according to user needs. These visualization components include a technology maturity radar chart component, a clean energy industry chain map component, and a progress chart of the entire process of achievement transformation.

[0005] The scores between technological achievements and needs are calculated from multiple matching dimensions. The total score is calculated by combining the weights of each matching dimension. Based on the information used to calculate the total score, a multi-dimensional flowchart is drawn and displayed on the user's device. The technological achievements are then recommended and ranked according to the total score.

[0006] The functional views corresponding to the core user roles are loaded based on route guards and component lazy loading mechanisms.

[0007] Furthermore, in one embodiment, the technology maturity radar chart component draws a radar chart based on the assessment dimensions of the feasibility of technology transfer in different clean energy fields, displays the scores of the assessment dimensions in parallel for multiple selected technology achievements, and calculates the similarity of any two technology achievements on a single assessment dimension based on the assessment dimension scores.

[0008] The clean energy industry chain mapping component includes mapping nodes. By listening to the user's drag and drop operations on the mapping nodes, it provides feedback on the matching results between the dragged and dropped mapping nodes.

[0009] The achievement transformation full-link progress chart component displays the transformation stage nodes in chronological order on a timeline. The transformation stage nodes are distinguished by different colors according to their completion status. Each transformation stage node has a corresponding time range, key data, attachments, and progress update entry.

[0010] Furthermore, in one embodiment, the clean energy sector includes hydropower and new energy sources.

[0011] The assessment dimensions in the hydropower sector include technology maturity level, turbine compatibility, dam compatibility, ecological impact, and operation and maintenance costs.

[0012] The evaluation dimensions for the new energy sector include technology maturity level, grid connection stability, cost per kilowatt-hour, carbon emission reduction, and replicability.

[0013] Furthermore, in one embodiment, the graph nodes are obtained based on the definition of a multi-dimensional knowledge graph for clean energy, including outcome nodes, subject nodes, and relationship nodes.

[0014] The method of monitoring user drag-and-drop operations on graph nodes and providing feedback on the matching results between dragged and dropped graph nodes includes: If an achievement node is dragged to a main node, the front end of the clean energy industry chain graph component sends a matching request to the back end of the achievement transformation intelligent matching service, and updates the graph edges and pop-up prompts based on the compatibility between the achievement node and the main node and the cooperation verification status.

[0015] Furthermore, in one embodiment, the transformation stage nodes include the laboratory research and development stage, the pilot-scale experiment stage, the small-batch application stage, the industrialization implementation stage, and the revenue tracking stage.

[0016] Furthermore, in one embodiment, the score between the technological achievement and the requirement is calculated from multiple matching dimensions, including: The matching dimensions include policy fit, technological compatibility, economic benefits, and environmental benefits.

[0017] The policy fit score is calculated based on the number of matching policy clauses and the total number of relevant policy clauses.

[0018] The technology compatibility score is calculated based on the parameter matching rate and the technology maturity level score.

[0019] The economic benefit score is calculated based on the return on investment score and the cost reduction rate.

[0020] The environmental benefit score is calculated based on the carbon emission reduction score and the comprehensive pollution emission reduction score.

[0021] The information provided includes the matching dimension, the matching dimension score, the source of the data required to calculate the matching dimension score, the matching dimension weight, and the total score.

[0022] Furthermore, in one embodiment, within the same hue, the colors of the matching dimension nodes are linearly mapped from dark to light according to the weight of the matching dimension from high to low.

[0023] The total score is calculated based on the scores of each matching dimension and their corresponding weights. If the weights are adjusted, the total score of the corresponding technical achievement is calculated based on each matching dimension and its adjusted weights, and the technical achievements are recommended and ranked again based on the total score.

[0024] Furthermore, in one embodiment, loading the functional view corresponding to the core user role based on the route guard and component lazy loading mechanism includes: The core user roles include technology managers, engineers, and decision-makers.

[0025] The technology manager view includes a conversion progress dashboard, a list of pending requests, and a miniature industry chain map.

[0026] The engineer view includes a technical parameter comparison table and a compatibility analysis chart. The technical parameter comparison table is equipped with a checkbox interface to display the differences in technical parameters of the selected technical achievements.

[0027] The decision-maker view includes an overall dashboard and a strategic alignment heatmap. The overall dashboard summarizes the number of annual conversion projects, total amount, and total carbon emission reductions. The strategic alignment heatmap displays the alignment between technological achievements and the group's strategy in a two-dimensional format of domain and region.

[0028] Furthermore, in one embodiment, the method also includes designing different responsive layout rules based on display ends with different screen pixel widths.

[0029] If the screen pixel width is greater than or equal to the preset width threshold, a multi-column layout will be used to prioritize the display of core modules.

[0030] If the screen pixel width is less than the preset width threshold, a single-column layout will be used to prioritize the display of core modules.

[0031] The width threshold is determined according to the generally accepted responsive breakpoint specifications of mainstream UI frameworks.

[0032] Secondly, this application provides a clean energy technology achievement demonstration system, the system comprising: The visualization component library module is used to draw the core indicators of clean energy technology achievements into interactive graphics through preset visualization components specifically for the clean energy field, and display them according to user needs; the visualization components include a technology maturity radar chart component, a clean energy industry chain map component, and a technology transfer progress chart component.

[0033] The matching result visualization and interpretation module is used to calculate the score between the technical achievement and the demand from multiple matching dimensions, calculate the total score by combining the weights of each matching dimension, draw a multi-dimensional flowchart based on the information on which the total score is calculated and display it on the user terminal, and recommend and rank the technical achievements based on the total score.

[0034] The multi-view customization module is used to load functional views corresponding to core user roles based on route guards and component lazy loading mechanisms.

[0035] The beneficial effects of the technical solutions provided in this application include: This application utilizes pre-defined visualization components specific to the clean energy field to render core indicators of clean energy technological achievements as interactive graphics, displaying them according to user needs. It graphically presents achievements from various fields according to corresponding dimensions, enriching the visualization dimensions and allowing users to quickly assess the technical feasibility and industrial suitability of achievements without reading extensive text. It calculates scores between technological achievements and needs from multiple matching dimensions, combines the weights of each matching dimension to calculate a total score, and uses the information used to calculate the total score to create a multi-dimensional flowchart displayed on the user's end. Based on the total score, technological achievements are recommended and ranked, providing users with matching criteria while recommending suitable achievements, reducing verification costs and improving conversion decision efficiency. Furthermore, it loads functional views corresponding to core user roles based on routing guards and component lazy loading mechanisms, customizing exclusive display views for user roles to improve interaction efficiency. Attached Figure Description

[0036] Figure 1 This is a flowchart illustrating the clean energy technology achievement demonstration method of this application.

[0037] Figure 2 This is a block diagram of a clean energy technology achievement demonstration system according to an embodiment of this application. Detailed Implementation

[0038] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present application.

[0039] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0040] Firstly, embodiments of this application provide a method for demonstrating clean energy technology achievements.

[0041] In one embodiment, see Figure 1 As shown, the methods for showcasing clean energy technology achievements include: S1. Using pre-defined visualization components specific to the clean energy field, the core indicators of clean energy technological achievements are rendered as interactive graphics and displayed according to user needs. These visualization components include a technology maturity radar chart, a clean energy industry chain map, and a progress chart of the entire technology transfer process; the core indicators include technology maturity, industry relevance, and transfer progress.

[0042] S2. Calculate the scores between technological achievements and needs from multiple matching dimensions, combine the weights of each matching dimension to calculate the total score, draw a multi-dimensional flowchart based on the information used to calculate the total score and display it on the user's end, and recommend and rank the technological achievements based on the total score.

[0043] S3. Load the functional views corresponding to the core user roles based on route guards and component lazy loading mechanisms.

[0044] In this embodiment, core indicators such as technology maturity, industry relevance, and transformation progress are rendered into interactive graphs using a pre-defined visualization component specific to the clean energy field. Users can compare the multi-dimensional performance of the results in parallel on the same interface, breaking through the original single-dimensional presentation method of "list + bar chart" and solving the problem of limited visualization dimensions. This shortens the time users spend comprehensively judging the feasibility and industry suitability of the technology. By calculating the scores between technological achievements and needs from multiple matching dimensions and combining them with weights to obtain the total score, the basis for calculating the total score is drawn into a multi-dimensional flowchart. This complete link, which is then recommended and sorted according to the total score, makes the matching basis transparently displayed to the user in the form of a flowchart. Users no longer need to manually consult documents to intuitively see the quantitative basis of each "achievement-need," solving the problem of opaque AI matching logic. Based on routing guards and component lazy loading mechanisms, functional views corresponding to core user roles are loaded, allowing different user roles to see corresponding lightweight interfaces after entering the system, avoiding the need to filter irrelevant information in general pages. By combining "graphical core indicators - transparent matching logic - role-based interface," the cognitive and decision-making costs for users in the process of clean energy achievement transformation are significantly reduced, and the overall interaction efficiency is improved.

[0045] Furthermore, in one embodiment, in step S1 above, the technology maturity radar chart component draws a radar chart based on the assessment dimensions of the feasibility of technology transfer in different clean energy fields, displays the assessment dimension scores of multiple selected technology achievements in parallel, and calculates the similarity of any two technology achievements on a single assessment dimension based on the assessment dimension scores.

[0046] The clean energy industry chain mapping component includes mapping nodes. By listening to users' drag and drop operations on mapping nodes, it provides feedback on the matching results between the dragged and dropped mapping nodes.

[0047] The technology transfer progress chart component displays the nodes of the transfer stage in chronological order. The nodes are distinguished by different colors according to their completion status. Each node has a corresponding time range, key data, attachments, and progress update entry.

[0048] In this embodiment, the technology stack of the three visualization components dedicated to the clean energy field is as follows: the front end adopts the React framework, the visualization rendering adopts ECharts+D3.js, and the data interaction adopts REST API (REST API connects to the large model data interface).

[0049] The aforementioned technology maturity radar chart component features hover tooltips and multi-achievement comparison interactive functions. Hover tooltips display the specific score for any assessment dimension and its supporting data when the mouse hovers over it (e.g., "Carbon emission reduction: 9 points, based on measured data from a photovoltaic power station, annual CO2 emission reduction is 200 tons"). Multi-achievement comparison allows users to select multiple achievements (e.g., 2-3 items). The technology maturity radar chart component uses different colors to draw multiple polygons on the same radar chart, automatically calculating and displaying the similarity between any two achievements in a single dimension (e.g., "Grid connection stability dimension similarity is 85%").

[0050] The aforementioned clean energy sectors include hydropower and new energy. The assessment dimensions for hydropower include technology maturity level, turbine compatibility, dam compatibility, ecological impact, and operation and maintenance costs. The assessment dimensions for new energy include technology maturity level, grid connection stability, cost per kilowatt-hour, carbon emission reduction, and replicability. The list of assessment dimensions is stored in a configuration file, supporting dynamic updates from the backend (such as adding a "storage compatibility" dimension).

[0051] The above graph nodes are derived from the definition of a multi-dimensional knowledge graph for clean energy, including outcome nodes, subject nodes, and relationship nodes. Outcome nodes include the ID, name, domain, and core technical parameters of the technological achievement; subject nodes include the ID, name, and role of the enterprise (or research institution, project) (e.g., equipment supplier, pumped storage power station project); relationship nodes include the association type between outcome nodes and column nodes (e.g., technology reuse, collaborative verification, demand matching). Graph node data is obtained through the Neo4j graph database interface.

[0052] Furthermore, a specific implementation example is given, which listens to the user's drag and drop operations on graph nodes and provides feedback on the matching results between the dragged and dropped graph nodes: If an outcome node (such as intelligent speed regulation technology for pumped storage power stations) is dragged to a main node (such as a pumped storage power station project), the front end of the clean energy industry chain graph component listens for the drag event through D3.js, sends a matching request to the back end of the intelligent matching service for outcome transformation, and updates the graph edges and pop-up prompts based on the compatibility and cooperation verification status between the outcome node and the main node. For example, the line between the outcome node and the main node is displayed in red, a matching prompt pops up (such as compatibility 92%, already verified in a certain project), and the status of the cooperation verification relationship in the graph is updated.

[0053] Further, in one embodiment, the above transformation stage nodes include the laboratory R & D stage, the pilot experiment stage, the small-batch application stage, the industrialization implementation stage, and the revenue tracking stage. The attribute fields of each transformation stage node include the time range, key data (such as the pilot cycle, contract amount), and attachment links (such as the pilot report PDF).

[0054] The above-mentioned full-link progress chart component for achievement transformation can achieve the visualization of the development progress and the details interaction. Among them, the visualization of the development progress shows the transformation stages through the ECharts time axis component, and arranges the above-mentioned transformation stages horizontally in sequence; the transformation stage nodes are distinguished by different colors for the completed, in-progress, and not-started states. For example, the completed stage nodes are set to green, the in-progress stage nodes are set to yellow, and the not-started stage nodes are set to gray to improve the visibility of the overall progress. The details interaction is to click on any transformation stage node, and the front end displays "key data + attachment preview" (supporting online viewing of PDF reports) through a modal box, and provides an entry for progress update, which can only be edited by the technical manager role.

[0055] Further, in one embodiment, in the above step S2, the scores between the technical achievements and the requirements are calculated respectively from multiple matching dimensions. Specifically: The matching dimensions include policy compliance, technical compatibility, economic benefits, and environmental benefits.

[0056] The policy compliance score is calculated based on the number of matching policy clauses and the total number of relevant policy clauses; the technical compatibility score is calculated based on the parameter matching rate and the technical maturity level score; the economic benefit score is calculated based on the return on investment score and the cost reduction rate; the environmental benefit score is calculated based on the carbon emission reduction score and the comprehensive pollution reduction score. The calculation formulas for the scores of the four matching dimensions are as follows: Policy compliance score = number of matching policy clauses / total number of relevant policy clauses (1).

[0057] Technical compatibility score = parameter matching rate × 0.7 + corresponding score of technical maturity level × 0.3 (2).

[0058] Economic benefit score = corresponding score of return on investment × 0.5 + cost reduction rate × 0.5 (3).

[0059] Environmental benefit score = corresponding score of carbon emission reduction × 0.6 + corresponding score of comprehensive pollution reduction × 0.4 (4).

[0060] The above-mentioned basis information includes the matching dimension, the matching dimension score, the source of the data required to calculate the matching dimension score, the matching dimension weight, and the total score. Among them, the source of the data required to calculate the matching dimension score includes: existing equipment parameters; equipment market price, on-grid electricity price, and benchmark value of operation and maintenance cost; environmental assessment report.

[0061] When a user views a specific "outcome-demand" matching item (such as photovoltaic module recycling technology - a new energy power station demand), the front-end calls an API to obtain the matching dimension score and the source of the data required to calculate the matching dimension score, and uses D3.js to draw the aforementioned multidimensional flowchart. This multidimensional flowchart can be drilled down. The calculation details of the matching dimension score in the multidimensional flowchart are collapsed by default. Clicking on the corresponding matching dimension node will expand the calculation details, which include the calculation formula for the matching dimension score and the source of the data required to calculate the matching dimension score.

[0062] Furthermore, in one embodiment, within the same hue, the colors of the matching dimension nodes are linearly mapped from dark to light according to the weight of the matching dimension from high to low.

[0063] The total score is calculated based on the scores of each matching dimension and their corresponding weights. If the weights are adjusted, the total score of the corresponding technical achievement is calculated based on each matching dimension and its adjusted weights. The technical achievements are then recommended and ranked again based on the total score.

[0064] The front end stores the mapping relationship between matching dimensions and interfaces through configuration files, and supports dynamic weights on the back end. The multi-dimensional flowchart above contains weight sliders to adjust the weights of each matching dimension. Each weight slider corresponds to a weight adjustment range of 0-50%. The basic weights of policy fit, technical compatibility, economic benefits and environmental benefits are 20%, 30%, 25% and 25% respectively, and the sum of the weights of each matching dimension is 100%.

[0065] Furthermore, in one embodiment, in step S3 above, the functional view corresponding to the core user role is loaded based on route guards and component lazy loading mechanisms. Specifically: The core user roles include technology managers, engineers, and decision-makers.

[0066] Based on the core needs of technology managers—tracking conversion progress, handling pending requests, and connecting with experts—a technology manager view is set up, including a conversion progress dashboard, a list of pending requests, and a miniature industry chain map. Based on the core needs of engineers—comparing technical parameters, analyzing compatibility, and uploading test data—an engineer view is set up, including a technical parameter comparison table and a compatibility analysis chart. The technical parameter comparison table has a checkbox interface to display the differences in technical parameters of selected technological achievements. Based on the core needs of decision-makers—viewing overall conversion efficiency, strategic alignment, and carbon emission reduction contributions—a decision-maker view is set up, including an overall dashboard and a strategic alignment heatmap. The overall dashboard summarizes the number of annual conversion projects, total amount, and total carbon emission reduction. The strategic alignment heatmap displays the alignment between technological achievements and the group's strategy in a two-dimensional format of domain-region.

[0067] In this embodiment, the front-end adopts a "route guard + component lazy loading" mechanism. After a user logs in, the corresponding view component is loaded according to the user's role (e.g., the ConversionProgressBoard component is loaded for technical managers, and the OverallDashboard component is loaded for decision-makers), avoiding redundant loading of irrelevant components. The view switching button is fixed in the top navigation bar. When the button is clicked, the switchRoleView(role) function is triggered, which clears the current view cache and loads the target view.

[0068] The primary view for technical managers after logging in can be set as follows: the left side displays a list of pending requests, and the right side displays a matching flowchart and a thumbnail of the clean energy industry chain. The primary view for engineers after logging in can be set as follows: the top displays a technical parameter comparison table, supporting the selection of 2-3 achievements to automatically compare parameters such as conversion efficiency and failure rate; the bottom displays a compatibility analysis chart. The primary view for decision-makers after logging in can be set as follows: the left side displays an overall dashboard, using ECharts to show the number of annual conversion projects, total amount, and total carbon emission reduction; the right side displays a strategic alignment heatmap, showing the alignment of achievements with the group's strategy by "domain-region," with red indicating high alignment.

[0069] Furthermore, in one embodiment, the above-mentioned method for demonstrating clean energy technology achievements also includes designing different responsive layout rules based on display terminals with different screen pixel widths.

[0070] If the screen pixel width is greater than or equal to the preset width threshold, a multi-column layout is used to prioritize the display of core modules; if the screen pixel width is less than the preset width threshold, a single-column layout is used to prioritize the display of core modules.

[0071] The aforementioned width thresholds are determined based on the generally accepted reactive breakpoint specifications of mainstream UI (User Interface Framework) frameworks.

[0072] In this embodiment, different responsive layout rules are designed using a combination of CSS MediaQuery and Flex / Grid layout, with a width threshold of 1920px. For large screens with a screen pixel width greater than or equal to 1920px, a 3-column grid layout can be used to display 3 core modules simultaneously (such as the overall dashboard + strategic heat map + clean energy industry chain map). For displays with a screen pixel width less than 1920px, it is further divided into mobile devices with a screen width less than 1080px and PC (Personal Computer) devices with a screen width greater than or equal to 1080px and less than 1920px. For PC devices, a 2-column layout can be used to prioritize the display of core modules (such as the engineer view displaying "Technical Parameter Comparison Table + Compatibility Analysis Chart"). For mobile devices, a single-column scrolling layout can be used to hide non-core modules (such as the clean energy industry chain map thumbnail), and clicking "Expand More" will show the hidden content. Specifically, on mobile devices, the weight slider is set to a drop-down selection range, such as technical compatibility: high, medium, low, and multiple achievement comparisons are set to left and right sliding comparison cards to avoid inconvenience on small screens.

[0073] Secondly, embodiments of this application also provide a clean energy technology achievement demonstration system. In one embodiment, see... Figure 2 As shown, the clean energy technology achievement display system includes a visualization component library module, a matching result visualization explanation module, and a multi-angle view customization module. Specifically: The visualization component library module is used to draw core indicators of clean energy technology achievements into interactive graphics through preset visualization components specifically for the clean energy field, and display them according to user needs. The visualization components include a technology maturity radar chart component, a clean energy industry chain map component, and a progress chart of the entire process of achievement transformation component.

[0074] The matching result visualization and interpretation module is used to calculate the score between the technical achievement and the demand from multiple matching dimensions, calculate the total score by combining the weight of each matching dimension, draw a multi-dimensional flowchart based on the information on which the total score is calculated and display it on the user end, and recommend and rank the technical achievements based on the total score.

[0075] The multi-view customization module is used to load functional views corresponding to core user roles based on route guards and component lazy loading mechanisms.

[0076] This application utilizes a three-pronged design—domain-specific visualization components, matching logic flowcharts, and multi-role customized views—to streamline the entire process from "results presentation to matching explanation and role operation." Radar charts, industry chain maps, and full-chain progress diagrams are used to graphically represent core clean energy indicators, eliminating the limitations of single-dimensional approaches. Drill-down multi-dimensional flowcharts integrate and display the matching criteria, including policy, technology, economic, and environmental matching dimension scoring formulas, data sources for calculating matching dimension scores, and dynamic weights, eliminating the black-box nature of AI matching. Routing guards and lazy loading pre-install dedicated modules such as conversion progress dashboards, parameter comparison tables, and strategic heatmaps for technology managers, engineers, and decision-makers, eliminating information redundancy in generic interfaces. Through this three-way collaboration, the cognitive and decision-making costs for users in the clean energy results transformation process are significantly reduced, while the speed of technology feasibility assessment and the efficiency of industry adaptability verification are improved.

[0077] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0078] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.

[0079] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.

[0080] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.

[0081] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.

[0082] The above are merely preferred embodiments of this application and do not limit the patent scope of this application. Any equivalent structural or procedural transformations made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of this application.

Claims

1. A method for demonstrating clean energy technology achievements, characterized in that, The method includes: Through pre-set visualization components specifically designed for the clean energy sector, the core indicators of clean energy technological achievements are drawn into interactive graphics and displayed according to user needs. These visualization components include a technology maturity radar chart component, a clean energy industry chain map component, and a progress chart of the entire process of achievement transformation. The scores between technological achievements and needs are calculated from multiple matching dimensions. The total score is calculated by combining the weights of each matching dimension. Based on the information used to calculate the total score, a multi-dimensional flowchart is drawn and displayed on the user's device. The technological achievements are then recommended and ranked according to the total score. The functional views corresponding to the core user roles are loaded based on route guards and component lazy loading mechanisms.

2. The method for demonstrating clean energy technology achievements as described in claim 1, characterized in that, The technology maturity radar chart component draws radar charts based on the assessment dimensions of the feasibility of technology transfer in different clean energy fields. It displays the scores of the assessment dimensions in parallel for multiple selected technology achievements, and calculates the similarity of any two technology achievements on a single assessment dimension based on the assessment dimension scores. The clean energy industry chain mapping component includes mapping nodes. By listening to the user's drag and drop operations on the mapping nodes, it provides feedback on the matching results between the dragged and dropped mapping nodes. The achievement transformation full-link progress chart component displays the transformation stage nodes in chronological order on a timeline. The transformation stage nodes are distinguished by different colors according to their completion status. Each transformation stage node has a corresponding time range, key data, attachments, and progress update entry.

3. The method for demonstrating clean energy technology achievements as described in claim 2, characterized in that, The clean energy sector includes hydropower and new energy sources; The assessment dimensions in the hydropower sector include technology maturity level, turbine compatibility, dam compatibility, ecological impact, and operation and maintenance costs. The evaluation dimensions for the new energy sector include technology maturity level, grid connection stability, cost per kilowatt-hour, carbon emission reduction, and replicability.

4. The method for demonstrating clean energy technology achievements as described in claim 2, characterized in that, The graph nodes are obtained based on the definition of a multi-dimensional knowledge graph for clean energy, including result nodes, subject nodes, and relationship nodes; The method of monitoring user drag-and-drop operations on graph nodes and providing feedback on the matching results between dragged and dropped graph nodes includes: If an achievement node is dragged to a main node, the front end of the clean energy industry chain graph component sends a matching request to the back end of the achievement transformation intelligent matching service, and updates the graph edges and pop-up prompts based on the compatibility between the achievement node and the main node and the cooperation verification status.

5. The method for demonstrating clean energy technology achievements as described in claim 2, characterized in that, The transformation stages include laboratory research and development, pilot-scale testing, small-batch application, industrialization, and revenue tracking.

6. The method for demonstrating clean energy technology achievements as described in claim 1, characterized in that, Scores between technological achievements and needs are calculated from multiple matching dimensions, including: The matching dimensions include policy fit, technological compatibility, economic benefits, and environmental benefits; The policy fit score is calculated based on the number of matching policy clauses and the total number of relevant policy clauses. The technology compatibility score is calculated based on the parameter matching rate and the technology maturity level score. The economic benefit score is calculated based on the return on investment score and the cost reduction rate. The environmental benefit score is calculated based on the carbon emission reduction score and the comprehensive pollution emission reduction score. The information provided includes the matching dimension, the matching dimension score, the source of the data required to calculate the matching dimension score, the matching dimension weight, and the total score.

7. The method for demonstrating clean energy technology achievements as described in claim 1, characterized in that, Within the same hue, the colors of the matching dimension nodes are linearly mapped from dark to light according to the weight of the matching dimension from high to low; The total score is calculated based on the scores of each matching dimension and their corresponding weights. If the weights are adjusted, the total score of the corresponding technical achievement is calculated based on each matching dimension and its adjusted weights, and the technical achievements are recommended and ranked again based on the total score.

8. The method for demonstrating clean energy technology achievements as described in claim 1, characterized in that, The loading of functional views corresponding to core user roles based on route guards and component lazy loading mechanisms includes: The core user roles include technology managers, engineers, and decision-makers; The technology manager's view includes a conversion progress dashboard, a list of pending requests, and a miniature industry chain map. The engineer view includes a technical parameter comparison table and a compatibility analysis chart. The technical parameter comparison table is equipped with a checkbox interface to display the differences in technical parameters of the selected technical achievements. The decision-maker view includes an overall dashboard and a strategic alignment heatmap. The overall dashboard summarizes the number of annual conversion projects, total amount, and total carbon emission reductions. The strategic alignment heatmap displays the alignment between technological achievements and the group's strategy in a two-dimensional format of domain and region.

9. The method for demonstrating clean energy technology achievements as described in claim 1, characterized in that, The method also includes designing different responsive layout rules based on display ends with different screen pixel widths; If the screen pixel width is greater than or equal to the preset width threshold, a multi-column layout will be used to prioritize the display of core modules; If the screen pixel width is less than the preset width threshold, a single-column layout will be used to prioritize the display of core modules; The width threshold is determined according to the generally accepted responsive breakpoint specifications of mainstream UI frameworks.

10. A clean energy technology achievement demonstration system, characterized in that, The system includes: The visualization component library module is used to draw the core indicators of clean energy technology achievements into interactive graphics through preset visualization components specifically for the clean energy field, and display them according to user needs; the visualization components include a technology maturity radar chart component, a clean energy industry chain map component, and a technology transfer progress chart component. The matching result visualization and interpretation module is used to calculate the score between the technical achievement and the demand from multiple matching dimensions, calculate the total score by combining the weight of each matching dimension, draw a multi-dimensional flowchart based on the information on which the total score is calculated and display it on the user terminal, and recommend and rank the technical achievements based on the total score. The multi-view customization module is used to load functional views corresponding to core user roles based on route guards and component lazy loading mechanisms.

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